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If you have no idea what to wear to a boat or yacht party, check out this helpful guide for the best outfit ideas and tips on dress code.
If you tend to vacation around coastal towns, chances are that you will be invited to a boat party one weekend or another. Whether it’s a luxurious yacht soiree, a casual boat gathering, or a glamorous sailing affair, you’re in for a great time. But as you embark on this nautical adventure, one question looms large: What should you wear?
Dressing appropriately for such events requires a delicate balance between comfort, functionality, and, perhaps most importantly, style. With the shimmering sea as your backdrop, you want to look effortlessly chic without trying too hard. To help you navigate your boat or yacht party in style, we have curated this guide on what to wear to a boat or yacht party, ensuring you can make a grand entrance and set sail in style.
1. linen, cotton and tencel dresses.
We highly recommend wearing lightweight clothes made from natural fibers like linen, tencel and cotton for your boat or yacht day trip. All of them are highly breathable, allowing air circulation and preventing you from feeling overheated in the sun or during energetic activities onboard.
In addition to this, they have great moisture-wicking properties, which means that any sweat or water on your clothes quickly evaporates, keeping you cool and dry.
While you can opt for any colors you want, light colors are especially popular in the heat of the sun, as well as nautical colors like light blue and navy, which echo the color scheme of open waters around you.
Cami Linen Dress
$148 at Reformation
Kerrigan Linen Dress
$218 at Reformation
60mm Gradient Rectangular Sunglasses
$334 at Nordstrom
Wide-leg pants are our favorite bottoms to wear during the summer, and boat parties are no different.
These elegant pants can be dressed up with elegant tops and a designer party bag for a chic look, or more casually with your favorite bikini top, a crop top, or a linen tank top. For ultimate comfort, stick to light colors and breathable materials like tencel, linen, and rayon.
by Marianna Lida Tank Top
$148 at Revolve
Alex Linen Pant
$198 at Reformation
Jaydin Slide Sandal
$70 at Nordstrom
To make taking a dip in the ocean easy and effortless, why not layer a pair of shorts over your swimsuit? Using the swimsuit or bikini as a top means you just need to take off your shorts when you want to jump into the sea – also, there are so many cute swimsuits that you just don’t want to cover up.
This shiny cocoa brown swimsuit has been styled with tailored camel shorts and a white cardigan to protect your shoulders from the sun.
Jenna One-Piece Swimsuit
$180 at Nordstrom
Shine Rib V-neck Cardi
$149 at Revolve
Pleated High Waist Trouser Shorts
$49.50 at Nordstrom
A matching set is an easy, fail-safe way to create a cute summery outfit that is perfect for a boat party. This matching set is all-white and includes a strapless, bandeau-style top, a midi skirt, and a cropped bolero-style cardigan, but you could go for any smart and chic matching set that perfectly suits your personal style.
Finish with sandals to slip on and off and sunglasses – keep jewelry to a minimum in case you take a dip in the sea.
Sora Strapless Top & Shrug
$38.40 at Nordstrom
Poplin Maxi Skirt
$278 at Revolve
Triomphe Logo Oval Acetate Sunglasses
$510 at Neiman Marcus
Crochet dresses are super stylish at the moment and will help you keep cool during the warmer weather too – just what you need if you are heading to a boat party.
The open weave of a crochet dress means they are great for keeping cool, plus, there are loads of different crochet dresses to choose from so you can easily find one that suits you. They also look incredible layered over a swimsuit and you just need a pair of sandals to finish the outfit.
x REVOLVE Guinevere Crochet Dress
$650 at Revolve
Odella Crochet Dress
$298 at Revolve
Out of This Shell Earrings
$44 at Nordstrom
If the boat party you are heading to is in the evening, then opulent silk and satin are exactly what you need. A silk or satin skirt is a great way to start a sophisticated outfit, then just style with a t-shirt or cropped top for a relaxed look or a sparkling sequined top for something a little more glam.
This shimmering blue silk maxi skirt looks incredible with the blue sequin crop top, both of which shine under the night sky lights for a striking look.
Monique Top
$430 at Revolve
Silk Midi Skirt
$495 at Neiman Marcus
Sticking to light, neutral tones is always a good idea during the summer months, and will perfectly suit a boat party aesthetic. White, ivory, and light beige shades will reflect the sunlight, helping you to stay cool.
This chic neutral outfit includes a beige bikini top, a white cotton skirt, black and gold sunglasses, gold starfish earrings, and a summery raffia bag to create a stunning, refined outfit that is perfect for heading out on a boat.
Dylan Bikini Top
$145 at Revolve
Raffia-effect crochet fabric tote bag
$1,650 at Miu Miu
For ultimate elegance, go for a figure-embracing maxi dress. Not only are they more practical than sorter dresses that may get down by the wind, but they’re also more glamorous as you glide along the deck.
While a voluminous flowy dress will look amazing blowing in the wind, it can get annoying very quickly. For daytime affairs, opt for a casual rib-knit dress, and for fancier yacht parties or black tie events, a long cocktail dress with more striking designs.
Marbella Maxi Dress
$195 at Revolve
Lambskin Quilted Mini Top Handle Vanity Case With Chain
$2,945 at Fashionphile
Molten Ribbon Hoop Earrings
$145 at Nordstrom
1. your swimsuit.
Firstly, it’s not a boat party without swimming! Don’t forget to bring your favorite bathing suit with you.
It also pays to protect your skin from the sun, so pack your sunblock in your bag. A good sunblock should be at least SPF 30, since SPF 30 can block about 97% of the sun’s harmful UV rays. Make sure to reapply your suncream every 2 hours you spend in the sun for optimal protection.
It goes without saying, but don’t attend a boat party without a good pair of sunglasses . The sun is especially strong in the open sea as it reflects off of water, and you don’t want to spend your day squinting.
In addition to sunglasses, also consider bringing a stylish hat that protects your face and scalp. Whether you opt for a wide-brimmed hat, a floppy sun hat, a straw hat or a sporty cap, it serves as a barrier against the sun, reducing the risk of sunburn and discomfort.
Some yachts and bigger boats will be equipped with beach towels for guests, but this is not a given. If you think you’ll be going in for a dip, pack a beach towel in your beach tote before you set off.
Now that we’ve gone over some of the best things to wear for yacht and boat parties, let’s also take a look at clothing to avoid.
How you dress for a boat party is very different to what you wear on land. What looks good in a rooftop bar might not be appropriate for a yacht, so keep these things in mind when putting together your outfit:
Stilettos with a sharp heel are a bit of a hazard on a moving boat; not only are you less stable when wearing them, the heel itself can also get stuck in gaps or grates on the deck, which can damage your shoes.
To be on the safe side, opt for comfortable flat sandals, boat shoes, or espadrilles, or take your shoes off entirely!
If you’re attending a dressy occasion in the evening, consider wearing platform wedges that look polished but are easy to walk in.
Avoid fibers and materials like acrylic, polyester, denim, and spandex that will make you sweat, and silk, which has moisture-wicking properties, but will not hide sweat stains.
Instead, opt for breathable fibers like cotton, linen, rayon, viscose, jersey, chambray and tencel, especially if you’re attending a boat party during the daytime.
If you know that you’ll be swimming, avoid wearing tight clothing, as there’s nothing more uncomfortable than having to put your tight clothes back on when you have wet skin. Also, what looks good dry might not look as great when it’s all soaked in water and sticking to your skin.
Opt for clothes that are loose enough that they won’t cling to you and that allow the wind’s breeze to flow through them. Alternatively, you can always bring a change of clothes if you have a tight outfit that you definitely want to wear on your boat ride.
Up next: What to Wear in the South of France: Your French Riviera Style Guide
Amelia is the luxury fashion writer for Chic Pursuit, discussing all you need to know about designer brands as well as the top handbags, shoes, clothes, and jewelry so you can find the perfect new luxe piece to add to your wardrobe. She has previously studied for a BA at Central Saint Martins and MA at London College of Fashion in fashion history and can often be found fawning over gorgeous dresses in old Hollywood films, or browsing the fashion collection at the V&A in London.
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For occasions requiring a uniform, the dress code is as follows:
Summer Uniform: White shoes, white pants with white web belt and brass buckle, white shirt without tie but with shoulder boards. Winter Uniform: White shoes, white pants with white web belt and brass buckle, white business shirt with Club burgee tie, navy blue blazer with Club badge. Formal Uniform: Winter Uniform except black bow tie (no cummerbund or tuxedo shirt). Summer Uniform for Ladies: White (no open toe) shoes, white pants or white (knee length straight) skirt with white web belt and brass buckle, white shirt without tie or without Women’s black cross-over tie but with shoulder boards. Pearls are allowed for ladies.
Winter Uniform for Ladies: White (no open toe) shoes, white pants or white (knee length straight) skirt with white web belt and brass buckle, white business shirt with Club burgee tie or Women’s black cross-over tie, navy blue blazer with Club badge.
Formal Uniform for Ladies: White (no open toe) shoes, white pants or white (long or knee length straight) skirt or dress with white top without collar or white formal long or knee length straight dress without belt and a navy-blue blazer. Pearls are allowed for ladies.
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White Bear Yacht Club was founded as a Yacht Club in 1889. Famed as a Club northeast of the Twin Cities, the property sits on the shorelines of White Bear Lake and was founded by group of St. Paul sailors. By the spring of 1890, the Club had more than 42 members who paid $5 initiation fees and annual dues of $3.
Formal sailing competitions began in 1895 between the White Bear and Minnetonka clubs. On Aug. 24, 1897, the Inland Lake Yachting Association was formed between WBYC and nine other yachting clubs. Today, the association continues to honor its heritage in governing competitive sailing and creating a strong camaraderie among the sailing community.
Many of the sailors who founded WBYC were also avid golfers and tennis players. In 1899, the club added two clay tennis courts and remodeled the clubhouse to accommodate its membership. Then in 1912, the first nine holes of the Golf Course opened for play. Several years later, the second nine opened for play.
"Awesome rolling topography. Great conditions. This is such a fun course to play on these hills."
- Golf Digest, 2021
Over the years of WBYC's history, famed golfers, such as Tom Vardon and Jimmy Johnston, have helped shape the legacy we've built. Tom Vardon, brother of Six-Time British Open Champion Harry, served as one of the original Golf Professionals from 1916-1937. Jimmy Johnston, a Minnesota Native and six-time Walker Cup participant, grew up playing at WBYC and is best known as the first golfer to win the U.S. Amateur west of the Mississippi, hosted at Pebble Beach Golf Links in 1929. He went on to beat Dr. O.F. Willey 4&3 in the final match.
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Scientific Reports volume 11 , Article number: 15237 ( 2021 ) Cite this article
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Marital disruption is a common life event with potential health implications. We examined the prospective association of divorce/widowhood with subsequent lifestyles, psychological, and overall health outcomes within short and longer terms using three waves of data from the 45 and Up Study in Australia (T1, 2006–09; T2, 2010; T3, 2012–16). Marital status and health-related outcomes were self-reported using validated questionnaires. Nine outcomes were examined including lifestyles (smoking, drinking, diet and physical activity), psychological outcomes (distress, anxiety and depression) and overall health/quality of life. Logistic regression was adjusted for sociodemographic characteristics and baseline health outcomes. Of the 33,184 participants who were married at T1 (mean age 59.5 ± 9.3 years), after 3.4 years, 2.9% became divorced and 2.4% widowed at T2. Recent divorce was positively associated with smoking, poor quality of life, high psychological distress, anxiety and depression at T2. Similar but weaker associations were observed for widowhood. However, these associations were much attenuated at T3 (5 years from T2). Marital disruption in midlife or at an older age can be detrimental to health, particularly psychological health in the short term. Public awareness of the health consequences of spousal loss should be raised. Resources, including professional support, should be allocated to help individuals navigate these difficult life transitions.
Psychological distress and health behaviours in people living with and beyond cancer: a cross-sectional study, introduction.
Marital status and transitions may have important implications for health. It is generally well recognised that marriage can be protective for health and reduce morbidity and mortality 1 . Possible explanations for the beneficial effects of marriage may include a sense of greater social and financial support, overall healthier behavioural patterns, and self-selection where healthier individuals tend to marry 2 . In contrast, transitions out of marriage, such as becoming divorced or widowed, are stressful life events that have been associated with poor health and survival outcomes 1 , 3 , 4 . Marital disruption is a common life event: around 42% of marriages in England and Wales 5 and about a third of marriages in Australia end in divorce 6 . Between 1990 and 2010, the divorce rate in American adults aged 50 years and above doubled, implying a rising trend of “grey divorce” 7 . Even if a marriage survives without divorce, it will inevitably end with the death of a spouse, leaving the other one in widowhood, often for years. Several meta-analyses have shown that compared to married adults, divorced and widowed adults have a higher risk of mortality from all causes 1 , 8 , 9 and specific causes including cardiovascular disease (CVD) 4 and cancer 10 .
Contrary to the consistent observations about the disadvantage in health and survival following divorce or widowhood, the mechanisms underpinning these associations are less understood 11 . Amato’s Divorce-Stress-Adjustment Perspective postulates that the process of divorce leads to stressors, which in turn, increases emotional, behavioural and health risk. The risk, which could be either short- or long-term, may differ by individual characteristics and circumstances 12 . Within this model, psychological distress is a significant intermediate outcome of marital dissolution/bereavement, which may arise from financial and emotional challenges, and can lead to adverse health outcomes 11 . Another plausible intermediate outcome includes changes in lifestyle behaviours, which may be developed as a coping mechanism to deal with psychological distress, or a response to environmental, financial and other circumstantial changes. Such psychological and behavioural outcomes could in turn affect health, quality of life and wellbeing in the immediate-to-long term and longevity in the long term. To date, there has been limited longitudinal research on how divorce/widowhood affects both psychological wellbeing 13 and lifestyle behaviours 14 , 15 , 16 . Furthermore, individuals respond and adjust to marital disruption differently 12 . Specifically men and women may have different coping strategies to psychological stressors 17 , and suffer from different consequences as a result of marital disruption 18 . For example, recent marital disruption has been associated with increased alcohol intake 19 and decreased body mass index and vegetable intake in men 14 , and higher physical activity levels and a higher risk of smoking initiation/relapse in women 15 . Individuals with better socioeconomic status 20 and social resources, such as supportive friends 21 , have also been reported to better cope with marital disruption.
With most marriages ending in divorce or widowhood, understanding the implications of marital disruption on health has important relevance to the life of many around the world. To date, most research has focused on the more “distal” outcomes, such as mortality. It is important to investigate modifiable and immediate outcomes on the pathways that lead to ill-health so that health deterioration may be prevented. It is also informative to examine whether such potential health effects persist over time. Such knowledge could improve the current understanding of the effects of major life events on health and inform interventions that aim to help individuals during marriage disruption. Moreover, previous research more commonly focused on divorce in younger populations, while the body of literature on divorce in older populations is much smaller despite the large proportion and the rising trend in “grey divorce” 7 . The objectives of this study were to examine the association of divorce and widowhood with subsequent changes in groups of selected outcomes: (1) health-related lifestyles, (2) psychological health, and (3) overall health and wellbeing, within both immediate and longer terms in middle-aged and older Australian adults.
Study participants were a subsample from the Sax Institute’s 45 and Up Study. Between February 2006 and December 2009, 267,153 adults aged 45 years and above from the state of New South Wales, Australia, submitted the baseline survey (T1, participation rate: 18%) 22 . Prospective participants were randomly sampled from the Services Australia (formerly the Australian Government Department of Human Services) Medicare enrolment database, which provides near complete coverage of the population. People aged 80 and over and residents of rural and remote areas were oversampled. In 2010, the first 100,000 respondents were invited to participate in a sub-sample follow-up study (T2): the Social, Economic, and Environmental Factor study (SEEF) (participation rate: 64.4%) 23 . Between 2012 and 2016, all living baseline participants were invited to participate in a full-sample follow-up, and 142,500 (53%) returned the survey (T3). Participants completed consent forms for all surveys. The baseline and full-sample follow-up data collection was approved by the University of New South Wales Human Research Ethics Committee (reference: HREC 05035) and the SEEF study by the University of Sydney Human Research Ethics Committee (reference: 10-2009/12187). The reporting of our analysis follows the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines (Supplementary file).
The study sample for the main analysis (Analysis 1) that focused on immediate outcomes included 33,184 men and women who reported to be in a married or cohabiting relationship at T1 and completed the marital status question at T2 (Supplementary Fig. 1 ). For those with additional follow-up data at T3, we conducted a subgroup analysis on the longer-term effects of marital disruption (Analysis 2) among those who reported to be married at T1, reported marital status at T2 and T3, and did not change marital status between T2 and T3 (Supplementary Fig. 2 ).
Sex-specific baseline and full-sample follow-up questionnaires can be found at https://www.saxinstitute.org.au/our-work/45-up-study/questionnaires/ . The SEEF questionnaire is included in Supplementary File.
For the purpose of the study, both divorce/separation and widowhood were considered marital disruption 14 , 24 , but were considered as separate categories in the analysis because the two events usually happen at different stages in life within distinct circumstances and may have different implications on health 14 . For the purpose of the analysis, we combined those who were married and in a de facto relationship (living with a partner) together as “married”, because in Australia, those in a de facto relationship are considered legally similar to married couples 25 . In our sample, those in a de facto relationship are slightly younger than their legally married counterparts and account for 7% of the participants who were classified as “married” at T1. For Analysis 1, those who were married at both T1 and T2 were defined as “remained married”, those who were married at T1 but reported to be single, divorced or separated at T2 were defined as “recently divorced/seperated (‘divorced’ thereafter)” and those who were married at T1 but widowed at T2 were defined as “recently widowed”. For Analysis 2, those who reported to be in a married relationship at all three time points were defined as “continuously married”, and those who reported to be single, divorced or separated at T2 and T3 were defined as “remained divorced” and those who reported to be widowed at T2 and T3 were defined as “remained widowed”. Because the objective of Analysis 2 is to examine long-term implications of divorce and widowhood, we focused the analysis on those whose marital status remained the same between T2 and T3, and excluded those who became divorced or widowed between T2 and T3 due to the recency of events (n = 1768), those who remarried/re-partnered between T2 and T3 due to the lack of consistent exposure (n = 145), and those who changed between divorced and widowed because the events were difficult to interpret (n = 27).
We examined nine self-reported outcome variables in three categories: (1) health-related lifestyles: smoking, alcohol consumption, diet and physical activity; (2) psychological outcomes: psychological distress, anxiety and depression; (3) overall health and wellbeing: self-rated health and quality of life. Responses were coded as 1 for being “at risk” and 0 for “not at risk”, as described in Table 1 .
The following variables were selected as covariates: age (continuous), sex, educational attainment (up to 10 years, high school/diploma/trade, university), residential location (major city vs regional/remote, based on the Accessibility Remoteness Index of Australia 26 ), country of birth (Australia vs overseas) and follow-up time. Specifically, we selected education, rather than income, as a socioeconomic indicator, because previous research repeatedly concluded that education generally has the strongest effects on health behaviors 27 , and it has nearly complete data in the 45 and Up Study. Therefore, it has been consistently recommended as a stable and reliable socioeconomic indicator for the current cohort 28 , 29 .
In addition, several variables were selected as potential effect modifiers based on evidence from previous studies, including: age categories, sex, educational attainment and social support 14 , 17 , 21 , 30 , 31 , 32 . Based on previous evidence suggesting that friends’, rather than family’s support buffers health deterioration following marriage disruption 21 , we used one question from the Duke Social Support Index 33 to measure social support outside of family. The question asks about the number of people outside of home within one hour of travel one can depend on or feel close to. Based on previous investigation in the SEEF study, this single question had the most consistent association with psychological distress across sex and age categories and was therefore chosen as an indicator for social support 34 . Responses were dichotomised at the median into low (0–4 people) and high (5 + people).
Baseline sociodemographic characteristics and health-related outcomes of the three marital transition groups were compared using ANOVA and χ 2 tests. For Analysis 1, those who remained married served as the reference category when comparing outcomes with those who became divorced and widowed. For Analysis 2, those who were “continuously married” between T1 and T3 served as the reference category when comparing outcomes with those who “remained divorced” or “remained widowed”. Separate binary logistic regression models were fitted for each dichotomous outcome, adjusted for all covariates and the value of each outcome at T1. Effect modification was tested by including a multiplicative interaction term in the adjusted model followed by a likelihood ratio test. Given the small amount of missing data (< 8%), we used missingness as a category for analysis. Considering that people who became divorced or widowed by T2 may be at a higher risk for death or loss to follow up by T3, posing threats to selection bias, we conducted additional analyses outlined in Supplementary file (page 5 “Methodological supplement”). All statistical analyses were conducted using SAS 9.4 and significance levels were set at p < 0.05.
Approved by the University of New South Wales Human Research Ethics Committee (reference: HREC 05035) and the SEEF study by the University of Sydney Human Research Ethics Committee (reference: 10-2009/12187).
Of the 33,184 participants who were married at baseline (T1, 2006–2009), after a mean follow-up time of 3.35 (standard deviation [SD] = 0.95) years, 31,760 (95.7%) remained married at the first follow-up (T2, 2010), 616 (2.9%) became divorced and 808 (2.4%) became widowed. At T1, compared with those who remained married, those who recently divorced were younger and had slightly higher levels of education, were less likely to live in major cities and more likely to be born overseas. On the contrary, those who recently widowed were much older, predominantly females, had lower educational attainment, and were less likely to live in major cities (Table 2 ).
At T1, compared with those who remained married, those who recently divorced had around twice the prevalence of fair/poor self-rated health and quality of life, high psychological distress, anxiety, depression, and reported smoking. They also had a slightly higher prevalence of high alcohol consumption, physical inactivity, and insufficient fruit and vegetable intake. Those who were recently widowed had a higher prevalence of fair/poor self-rated health and quality of life, high psychological distress, and physical inactivity, but lower prevalence of depression, smoking, at-risk alcohol consumption, and insufficient fruit and vegetable intake.
After adjusting for sociodemographic characteristics, health-related outcomes at T1, and follow-up time, those who recently divorced had much higher odds of fair/poor quality of life (Odds Ratio [OR] = 2.98), high psychological distress (OR = 2.78), smoking (OR = 2.40), anxiety (OR = 2.23) and depression (OR = 2.92) at T2 (Table 3 ). The associations of divorce with fair/poor self-rated health (OR = 1.22), high alcohol consumption (OR = 1.12), physical inactivity (OR = 1.04) and insufficient fruit and vegetable consumption (OR = 1.25) were non-significant. For nearly all outcomes, adjusting for covariates attenuated the associations. When comparing those who were recently widowed with those who remained married, based on adjusted analysis, recent widows had higher odds of fair/poor quality of life (OR = 1.80), high psychological distress (OR = 1.92), anxiety (OR = 1.55), depression (OR = 2.11), smoking (OR = 2.51), and insufficient fruit and vegetable consumption (OR = 1.60). Recent widows also had a marginally lower prevalence of high alcohol consumption at T2 (OR = 0.75).
Several sociodemographic characteristics seemed to have moderated the association between marital disruption and short-term health outcomes (Table 4 ). Specifically, the association between divorce and quality of life was the strongest (OR = 4.91) in the oldest group (75 + years), but the association between widowhood and quality of life was the strongest (OR = 3.35) in the youngest group (45–59 years). On the other hand, the associations of both divorce and widowhood with psychological distress were the strongest in the youngest group (OR = 2.98 and 3.53, respectively). The association between divorce and high psychological distress was stronger among those with lower education attainment (OR = 2.96, up to 10 years education; OR = 3.06, high school/diploma) but the association between widowhood and psychological distress was stronger among those with high educational attainment (OR = 4.20). The association of divorce with depression was much stronger in men (OR = 4.59) than women (OR = 1.60) but the association of widowhood was similar by sex. While there was no significant association between divorce and alcohol consumption, recent widowhood seemed to reduce the risk of high alcohol consumption among women (OR = 0.53). Finally, while there was no observed association between divorce and physical activity, widowhood was significantly associated with insufficient physical activity in those with a medium level of educational attainment only (OR = 1.46).
After an additional five years (mean = 4.98, SD = 0.53) of follow-up, a total of 21,605 participants reported marital status at the second follow-up (T3, 2012–2016) and did not change relationship status between T2 and T3, so that consistent relationship patterns could be determined and long-term outcomes of marital disruption that occurred between T2 and T3 could be examined. Of this subgroup of participants, 20,900 were consistently married (96.7%), 270 (1.25%) remained divorced and 435 (2.01%) remained widowed. The comparison of baseline characteristics across the three groups remained similar to that from Analysis 1 (Supplementary Table 1 ). When adjusting for sociodemographic characteristics, health-related outcomes at T1, and follow-up time, those who remained divorced still had higher odds for most adverse health outcomes compared with those who were consistently married (Table 5 ), but the associations were much weaker compared with those observed in Analysis 1, and only reached statistical significance for insufficient fruit and vegetable consumption (OR = 1.55). Compared with those who were consistently married, those who remained widowed did not have consistently higher odds for adverse health outcomes and none of the associations was statistically significant. We did not find significant effect modification by age, sex, educational attainment, or social support.
This study examined the short- and long-term health outcomes following divorce and widowhood in a large population-based Australian sample of older men and women. The findings revealed strong and adverse short-term effects of marital disruption on health outcomes, particularly within the psychological health domain. These effects seemed to attenuate in the longer term.
A number of studies have examined the associations between marital status or marriage disruption and health, with relatively consistent findings suggesting a protective effect of marriage, and respectively detrimental effects of marital disruption. For example, systematic reviews and meta-analyses have consistently found an elevated risk of all-cause mortality in adults who are divorced 35 or widowed 1 , 8 , 9 , and the effects seemed to be mostly consistent across countries and geographic areas 1 , 9 . Wong et al. extended the outcomes for CVD and found similar associations between marital status and CVD events and mortality 4 . Our current study has extended previous research by examining a broad range of relatively proximal outcomes, and in a population-based sample ranging from middle age to the “oldest old”. Examining proximal outcomes could help understand the potential mechanisms (e.g., psychological distress, unhealthy lifestyles) for the observed association between marital disruption and distal endpoints, such as mortality. Understanding the potential mechanisms has been considered an important research agenda for future studies 35 . Involving a large sample with a broad age range allows us to examine the effect of marital disruption at different life stages, including the less researched transitions, such as divorce at an old age (grey divorce) 7 and widowhood at a younger age.
To date, several proposed mechanisms might explain the health disparities by marital status 4 . The predominant debate has centered around social selection versus causation 36 . While selection theory suggests that people with poorer health are less likely to enter or maintain long-term partnerships 4 , 36 , social causation theory postulates that marriage and partnership benefit individuals’ health through spousal support, companionship and financial stability 36 , 37 , 38 . Within the causation theory framework, it has been proposed that the stress related to spousal loss could affect physical, mental, emotional and behavioural health 4 , 36 , 38 , 39 , 40 . In the current study we tested various components of these theories by: (1) comparing baseline characteristics of participants with different marriage transitions, (2) adjusting for potential confounders that could have caused self-selection into maintained partnership, such as socioeconomic status, and (3) comparing between those who have divorced and widowed, which involve different levels of self-selection.
Based on the baseline comparison of participants with different marital transition categories, those who became divorced at T2 appeared to be distinctly different from the other categories at T1: they had around twice the prevalence of fair/poor self-rated health and quality of life, high psychological distress, anxiety, depression, and current smoking, compared with those who remained married between T1 and T2. In most cases, they had much worse health risk profiles than those who became widowed, despite the latter being significantly older. Such observations may provide supportive evidence for the social selection theory. However, given that the deterioration of marriage is a gradual process, which started from the time when couples still lived together 12 , a dysfunctional relationship could have adversely affected physical and mental health years before divorce or separation formally took place 12 . In both short- and longer-term analyses, adjusted associations were much attenuated from the unadjusted associations, suggesting that the potential characteristics underlying social selection to marriages, such as socioeconomic status, may have partially contributed to the observed “marital disruption effects”. However, the adjusted associations remained strong in most cases, implying the plausibility for a causal relationship. Finally, we found generally similar patterns of associations for divorce and widowhood; if social selection was the sole explanation for the detrimental health effects of marital disruption, then one should expect strong effects of divorce but much weaker-to-no effects of widowhood, because spousal death is usually beyond the control of the surviving spouse 24 .
As an attempt to explore different mechanistic pathways, assuming that marital disruption is causally linked to health deterioration, we tested several domains of health outcomes: health-related lifestyle behaviours, psychological outcomes, and overall health and wellbeing. Our findings suggest that most of the observed “marital disruption effects” occurred within the psychological domain, with divorce and widowhood triggering initial elevations in psychological distress, anxiety and depression. The much higher odds of smoking among those who recently divorced or widowed, similar to findings from a previous study 15 , could also be stress-related 41 . Contrary to previous studies 14 , 15 , 42 , we found no overall associations between marital disruption and physical activity or alcohol consumption. We did, however, find a positive association between divorce/widowhood and insufficient fruit and vegetable consumption. Based on a small number of studies, vegetable consumption seemed to decline in men 14 and women 15 following divorce and widowhood, and the literature has cited a lack of food preparation skills among men 14 and meal skipping as a grief reaction among women 15 . Finally, within the overall health and wellbeing domain, recently divorced and widowed individuals suffered from worsening quality of life but not self-rated health. This could be because the self-rated health question focuses on the physical manifestation of health while the quality of life question holistically captures physical, mental, emotional and other aspects of health, which are more likely to be influenced by marital disruption.
An interesting finding is that although marital disruption seemed to have a detrimental effect on various health outcomes in the short-term, after a further five years of follow-up, the effects were attenuated, and in some cases, disappeared. These findings confirmed the “divorce-stress-adjustment perspective” 12 , which postulates that marital disruption led to multiple stressors (e.g., loss of custody of children, economic decline), which, in turn, lead to negative emotional, behavioural and health outcomes. The process of “adjustment” takes time, and its severity and duration differ by individual characteristics 12 . Previous research found a similar “time effect” (where the negative consequences of marital disruption was attenuated over time) with depression 43 , first-time myocardial infarction 44 but mixed results with mortality 40 , 45 . However, it is important to distinguish our study from those with morbidity or mortality endpoints, which take longer to manifest. Given that outcomes in our study are conceptually proximal, and that most people have the psychological resilience to eventually recover from marriage disruption 46 , we could expect on average a stronger effect in the short-term than the long-term.
However, it is important to acknowledge individual differences in resilience to stressful transitions like divorce and widowhood 46 . We have tested for several potential effect modifiers and found several outcome-specific interactions. For example, overall, younger participants (aged 45–59 years at T1) seemed to have suffered more from both divorce and widowhood in terms of worsening quality of life and increasing psychological distress. This finding is concordant with previous research on marital transition and mortality 9 . In terms of psychological distress, participants with high educational attainment seemed to have coped with divorce the best but widowhood the worst. This is a new and unexpected finding and may be related to the higher levels of independence, resources and support among those with higher socioeconomic status to cope with an expected traumatic event, such as divorce. Widowhood is less planned and more permanent and may exert severe emotional stress on individuals in the short-term, regardless of skills, resources and support. Divorce had a much stronger impact on depression in men than women, which is consistent with the literature on divorce and mortality 8 , 9 . It has been documented that men are more likely to dramatically lose supportive social ties 9 and experience declined social support from their children following a divorce 47 . Finally, interestingly, women who were widowed seemed to have benefited from reduced heavy alcohol consumption. A previous study in France found that women decreased heavy drinking prior to and at the time of widowhood 48 . Some evidence suggests that husbands may influence wives’ drinking behaviour 49 , it is plausible that the death of a husband may be associated with reduced drinking occasions.
The current study is the first to our knowledge to examine short- and longer-term effects of marital disruption on a broad range of physical, psychological and behavioural health outcomes in middle-aged and older adults. Strengths include a population-based sample, comprehensive proximal health outcomes, and examination of both divorce and widowhood. However, findings should be interpreted in light of limitations. First, some relevant information was not collected by the 45 and Up Study, such as relationship quality, the exact time of marital transition (we could only infer that the event happened between T1 and T2), the long-term cumulative marital history (e.g., the total number of marriages and broken relationships) 35 . Such information is important to further elucidate whether the adverse health effects of marital disruption are due to social selection or causation. While this study focused on marital disruption, the other type of marital transition, namely remarriage could further affect health behaviours and outcomes. However, we did not model this transition because of the small number of participants who remarried and the lack of repeated measures to ascertain long-term effects of remarriage. Second, there was some evidence for selection bias as those who became divorced or widowed by T2 were more likely to become lost to follow-up by T3 (Supplementary file). Third, the number of participants who became divorced or widowed during the study follow-up was small, limiting the power of detecting potential associations and effect modification. Fourth, the 45 and Up Study cohort was not population representative and participants were on average healthier than the general population. However, a study comparing the current cohort with a population representative sample in New South Wales found the estimates for the associations between risk factors and health outcomes to be similar, despite the differences in risk factor prevalence 50 . Finally, it is important to note that the current study was conducted based on a sample aged 45 years and above and we only examined the effects of marital disruption in midlife and at an older age. Findings may not generalise to younger populations.
This current Australian study extends previous evidence on marital transition and health and suggests that marital disruption can be a vulnerable life stage, particularly for certain subgroups, such as men. Findings from the study have important public health implications. Given the ubiquitous and inevitable nature of marital disruption, it is important to raise public awareness of its potential health effects and develop strategies to help individuals navigate such difficult life transitions. Physicians and other health practitioners who have access to regularly updated patient information may play an important role in identifying at-risk individuals, monitoring their health and referring them to potential interventions and support programs.
The data that support the findings of this study are available from the Sax Institute upon application and payment, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of the Sax Institute.
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This research was completed using data collected through the 45 and Up Study ( www.saxinstitute.org.au ). The 45 and Up Study is managed by the Sax Institute in collaboration with major partner Cancer Council NSW; and partners: the National Heart Foundation of Australia (NSW Division); NSW Ministry of Health; NSW Government Family & Community Services—Ageing, Careers and the Disability Council NSW; and the Australian Red Cross Blood Service. We thank the many thousands of people participating in the 45 and Up Study.
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Ding Ding, Joanne Gale, Adrian Bauman, Philayrath Phongsavan & Binh Nguyen
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D.D. conceptualised the research idea, D.D. and J.G. conducted data analysis, B.N. and D.D. conducted the literature review, D.D. drafted the manuscript with B.N. contributing to parts of the manuscript, all authors critically revised the manuscript and approved the final version of the manuscript.
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Ding, D., Gale, J., Bauman, A. et al. Effects of divorce and widowhood on subsequent health behaviours and outcomes in a sample of middle-aged and older Australian adults. Sci Rep 11 , 15237 (2021). https://doi.org/10.1038/s41598-021-93210-y
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Signing legal papers isn't the only way to feel the effects of a divorce..
Posted August 15, 2024 | Reviewed by Michelle Quirk
An “emotional divorce” refers to when a couple, although still legally married, experiences a significant emotional separation. This situation often precedes a legal divorce but can also occur independently.
In an emotional divorce, partners become increasingly emotionally disconnected from one another, leading to a lack of intimacy , communication, or mutual support. Couples may live together but lead separate lives, with little to no shared activities, goals , or interests.
In the process of an emotional divorce, research shows that a couple can experience fear , relief, sadness, anger , hope, or even personal growth in varying degrees, often based on who initiates the separation.
A 2023 study found that emotional divorces can also be associated with alexithymia—a difficulty in identifying and connecting with one’s emotions—and possibly depression . These mental health impacts on both individuals and their marriages highlight the importance of catching the signs early and addressing them before they escalate.
Following are three signs of an emotional divorce:
A study published in March on late-life divorces found that emotional divorces often set in long before formal ones. Based on the participants’ experiences of growing apart while still married, a lack of communication is one of the most telling signs of an emotional divorce.
Partners may stop sharing their thoughts, feelings, aspirations, and daily experiences with each other. Conversations become superficial and cold, limited to necessary topics such as household chores, their children’s well-being, or finances.
The warmth and affection that once characterized their interactions are replaced by detachment and indifference. Nonverbal cues such as eye contact, touch, and attentive body language that signify connection and affection can also noticeably diminish.
“At some point it was even cold between us. A distance began to form. We no longer had the usual topics of conversation. I focused on my pleasures, she on her work and our relationship was through the children. The divorce was essentially a final stop in a process that had started years before,” says Dan, a 69-year-old participant from the study, recalling the emotional divorce that took place with his ex long before legal proceedings began.
A lack of communication creates an emotional chasm between partners, making them operate more like roommates than life partners. This can create feelings of anxiety and loneliness , even when physically together.
In strained marriages, physical affection and sexual activity can significantly decline or cease entirely. Emotionally divorced couples also tend to experience very low levels of emotional intimacy, often due to underlying emotional disconnection, incompatibility, a lack of attraction , or unresolved conflicts.
A 2021 study found that when we perceive our partners as caring and responsive to our needs, we experience greater intimacy, which can enhance relationship satisfaction. However, emotional divorces can involve the loss of a deep connection, closeness, trust, mutual understanding, emotional availability, and responsiveness between partners.
After facing multiple relationship challenges without successful resolutions, spouses may become indifferent to each other’s needs, feelings, and well-being and stop putting effort into maintaining the relationship. This can further fuel feelings of neglect and perpetuate negative cycles of being emotionally dismissive of each other.
Emotional divorces often involve heightened levels of conflict, with couples unable to resolve them or giving up after multiple failed attempts. Over time, these unresolved conflicts foster resentment and hostility. Partners may begin to avoid each other to prevent any further friction, creating further emotional distance.
“We were dragged into endless arguments about who is right, what word was said, in what tone it was said, and what it means, and what punishment is due for it. It was exhausting to the point that in the last eight or nine years, I tried as much as possible not to talk, be in a separate room and live my life,” explains Ruth, another participant from the 2024 late-life divorce study.
According to Gottman’s theory of “the four horsemen” of divorce, four destructive behaviors in a conflict can signal the end of a marriage : criticism or attacking a partner’s character; contempt, which involves a lack of respect and sarcasm; defensiveness, which entails refusing to take responsibility for one’s behavior; and stonewalling, which involves withdrawing and refusing to communicate.
Without open communication, misunderstandings and assumptions become more frequent. Partners may begin to doubt each other’s intentions, leading to suspicion and insecurity. Over time, the emotional toll of constant conflicts and unmet needs can also lead to emotional exhaustion, leaving little room for positive interactions.
A 2018 study found that when both spouses take their problems seriously, it reduces the risk of separation. However, in emotional divorces, they may feel too worn out to do so, making reconciliation increasingly difficult.
Additionally, research shows that spouses often stay together, locked in a long period of emotional divorce because their relationships have both positive and negative elements, making it difficult to end them or to continue in the face of struggles.
Realizing that you’re in an emotional divorce is not a death sentence for your relationship but an opportunity to reflect on what you, your partner, and your children, if any, would truly benefit from.
No one wins if even one partner is unhappy in a marriage. While emotional divorces can be challenging and painful, addressing the dissatisfaction is the first step toward preparing oneself to move on from an unfulfilling relationship or healing and rebuilding a stronger, more connected bond with your partner.
A version of this post also appears on Forbes.com.
Mark Travers, Ph.D., is an American psychologist with degrees from Cornell University and the University of Colorado Boulder.
Sticking up for yourself is no easy task. But there are concrete skills you can use to hone your assertiveness and advocate for yourself.
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We systematically review studies of how unemployment benefits affect unemployment duration. Statistically significant findings are eleven times more likely to be published. Correcting for publication bias halves the average elasticity. Meta-analysis provides a principled way for sufficient statistics methods to aggregate estimates across policy contexts and speak to the optimality of large reforms. Although existing consumption drop-based approaches typically imply an optimal replacement rate near zero, our corrected estimates imply an optimal replacement rate of 28%. The "micro" elasticity is equal to the "macro" elasticity, suggesting that general equilibrium effects are unimportant or cancel out.
The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.
This research was conducted prior to the author’s employment by Amazon. This paper is not sponsored or endorsed by, or associated with Amazon or any of its subsidiaries or affiliates. The views, opinions and positions included in this paper are the author’s own and do not reflect the views, opinions and positions of Amazon.
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The centre, in its affidavit before the supreme court, said there was a need for more state action to give effect to the court's order striking down triple talaq in 2017 and to redress the grievances of victims of illegal divorce..
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The Centre on Monday filed a fresh affidavit before the Supreme Court in response to the petitions challenging the law of triple talaq or talaq-e-biddat, saying the practice that was set aside by the Supreme Court in 2017 did not work as a sufficient deterrent in bringing down the number of divorces among certain Muslim communities.
The Supreme Court had declared instant triple talaq -- where a Muslim man utters talaq (divorce) three times to his wife, without her consent, and vice versa -- as "void, illegal and unconstitutional". The Centre then implemented a law in 2019 criminalising the instant divorce practice with a maximum of three years of imprisonment and a fine.
The Centre, in its affidavit, said it was felt that there was a need for more state action to give effect to the Supreme Court's order and to redress the grievances of victims of illegal divorce.
The affidavit was filed in response to a plea that argued that there was no need to criminalise triple talaq despite the Supreme Court declaring the practice unconstitutional.
The Centre said in its affidavit that if the petitioners agreed that the pronouncement of talaq-e-biddat would have no legal effect and consequence and, in fact, is "manifestly arbitrary" after the judgement in Shayara Bano, "the petitioners or any other law-abiding citizen of the country ought not to have any grievance with the criminalisation of the said manifestly arbitrary action, as declared by this Hon'ble Court".
Citing reports of triple talaq from different parts of the country despite the Supreme Court order, the government said the victims had no option but to approach the police for redressal of their grievances. It added that the police were helpless as no action could be taken against their husbands in the absence of punitive provisions in the law.
The law was brought in to protect the rights of married Muslim women who are being divorced by way of triple talaq, the Centre argued.
The Centre stressed an urgent need for stringent provisions in the law, which act as a deterrent to Muslim husbands divorcing their wives by adopting instantaneous and irrevocable talaq.
"Since, the Supreme Court declared that divorce through triple talaq is unconstitutional, Parliament, in its wisdom, is empowered to make it an offence and hence no unconstitutionality is involved in the matter," the affidavit said.
"The practice of talaq-e-biddat was held unconstitutional and a need was felt to have a standalone legislation to address the same. In the Shayara Bano case, the Supreme Court had expressly noted that triple talaq could not be justified with reference to the tenets of Islam," it added.
"The pronouncement of triple talaq by Muslim husbands, which was set aside by the Supreme Court, has been made a punishable offence by the legislature in its wisdom," the affidavit stated.
Underlining that marriages are a social institution which the state has a special interest in protecting, the Centre said it was beyond doubt that the state can protect the stability of marriages by resorting to the device of criminal law.
"There is no basis for the claim that marriages being under personal law are exempt from the application of the general criminal law," it added.
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Susan l. brown.
Department of Sociology, Bowling Green State University, Bowling Green, OH 43403, (419) 372-9521, ude.usgb@lsnworb
Department of Criminology, Sociology, and Geography, Arkansas State University, Jonesboro, AR 72467, (870) 972-3276, ude.etatsa@thgirwam
The authors used data from the 1994, 2002, and 2012 General Social Survey (N = 1,450) to examine whether support for divorce has increased among adults aged 50 and older. Consistent with the rise in the gray divorce rate, today’s older adults were more accepting of divorce than their predecessors were two decades ago. Attitudinal change was modest between 1994 and 2002 but accelerated after 2002. The acceleration was primarily due to period rather than cohort change, signaling the role of broader shifts in the meaning of marriage as it has become deinstitutionalized. Older birth cohorts and individuals who were either divorced or remarried were especially likely to hold supportive attitudes toward divorce.
Until recently, divorce among older adults was uncommon. Less than one in ten individuals who got divorced in 1990 was aged 50 or older. Since then, the gray divorce rate, which refers to divorces among adults aged 50 and older, has increased twofold from 5 to 10 divorces per 1,000 marriages ( Brown & Lin, 2012 ; Brown & Wright, 2017 ). The doubling of the gray divorce rate coupled with the aging of the U.S. population translates into a considerable rise in the share of divorcing individuals who are over age 50. In 2010, one in four individuals who got divorced was aged 50 or older ( Brown & Lin, 2012 ).
This increase in gray divorce purportedly signals growing acceptance of divorce among middle-aged and older adults. Yet, few studies have investigated historical change in divorce attitudes and those that have tended to exclude older adults and are now somewhat dated, failing to capture prevailing attitudes of older adults during the gray divorce revolution period ( Martin and Parashar, 2006 ; Thornton, 1989 ; Thornton & Young-DeMarco, 2001 ).
We draw on data from the 1994, 2002, and 2012 General Social Survey (GSS) to examine nearly two decades of change in divorce attitudes of adults aged 50 and older. Given the doubling of the gray divorce rate, we anticipate that older adult attitudes toward divorce have become more favorable over time. Our goal is to examine this assertion from a social change perspective designed to evaluate whether the increase in support reflects cohort replacement or intracohort (i.e., period) change ( Firebaugh, 1992 , 1997 ; Ryder, 1965 ). We assess the relative importance of cohort and period net of factors known to be associated with gray divorce to extrapolate about expected future trends in gray divorce and the implications for policy.
The rapid growth in gray divorce reflects a confluence of factors, including some that foretell a shift in older adult attitudes toward divorce. Divorce is commonplace and thus individuals are likely to be more accepting of divorce as either they or the people in their networks experience divorce ( Wu & Schimmele, 2007 ). A primary reason why gray divorce has increased is because a larger proportion of today’s older adults are in remarriages, which are at higher risk of divorce than first marriages ( Brown & Lin, 2012 ). The Baby Boom generation experienced the divorce revolution of the 1970s as young adults and many have since remarried. The gray divorce rate is 2.5 times greater for remarriages than first marriages ( Brown & Lin, 2012 ). Remarriages are less stable in part because they are of shorter duration, on average, and marital duration is negatively associated with divorce. Also, remarriages are more prone to divorce because spouses are typically less homogamous ( Sweeney, 2010 ). Finally, the previously divorced are more willing to divorce again whereas in first marriages some of those who are unhappy are unwilling to call it quits ( Uhlenberg & Myers, 1981 ).
More broadly, the meaning of marriage has shifted such that individuals of all ages hold high expectations for their unions. Today’s individualized marriages are predicated on self-fulfillment, open communication, and flexible roles ( Cherlin, 2004 ). The deinstitutionalization of marriage has coincided with weakened norms of marriage as a lifelong institution ( Wu & Schimmele, 2007 ). Marriages change and evolve over time, and many older couples appear to grow apart, spurring gray divorce ( Bair, 2007 ). During an era of individualized marriage and lengthening life expectancies, couples are simply less willing to remain in empty shell marriages. The rise in wives’ labor force participation makes divorce a realistic option for many women ( Amato, 2010 ; Uhlenberg & Myers, 1981 ). For prior generations, wives were typically economically dependent on their husbands which may have precluded many divorces. Together, these explanations for the rise in gray divorce suggest more supportive attitudes toward divorce among older adults in recent years, especially among those who have previously divorced.
These explanations for the rise in gray divorce coupled with the doubling of the gray divorce rate suggest more supportive attitudes toward divorce among older adults in recent years. Yet, few studies have investigated whether and how divorce attitudes have shifted over time and these studies have tended to exclude older adults. For example, Martin and Parashar (2006) tracked divorce attitudes from 1974-2002, but only for women ages 25-39. There was no appreciable variation in divorce attitudes by age net of other factors. Other research uncovered a notable rise in supportive attitudes toward divorce during the 1960s and 1970s, but support remained stable (and high) from the 1980s until about 2000 ( Thornton, 1989 ; Thornton & Young-DeMarco, 2001 ). Whether or how these trends differed by age group was not investigated. Moreover, these studies are dated and thus do not address the prevailing attitudes for today’s population, regardless of age.
An intergenerational study of mothers and their children revealed that mothers’ supportive attitudes toward divorce when children are involved rose between 1962 and 1980, but did not change appreciably thereafter (the latest time point was 1993). It is unclear whether this initial rise (1962-1980) in favorability was due to within cohort change or if it affected individuals of all ages since only this cohort was followed. Between 1980 and 1993, the young adult offspring of these mothers reported high levels of support for divorce, with favorability increasing modestly over the time period. Daughters more often expressed support for divorce than sons, underscoring a gender gap in divorce attitudes that has been documented in several studies ( Kapinus & Flowers, 2008 ; Thornton & Young-DeMarco, 2001 ). Asked in 1993 whether they believed couples should not stay married for the sake of the children, about 90% of daughters and 80% of mothers agreed, versus just 70% of sons.
A distinctive pattern emerged for a different measure of divorce attitudes. In 1993 about 60% of mothers supported the notion that “divorce is usually the best solution for couples that can’t seem to work out their marriage problems” versus 41% of daughters and 40% of sons, suggesting greater support for divorce among older than younger adults. Thornton and Young-DeMarco (2001, p. 1019) posited that this pattern could be indicative “more of a life cycle phenomenon for these young adults than a historical trend….these young adults may…become more like their mothers and may see the cost-benefit ratio associated with divorce as more positive than they did” when they were younger. Our study empirically tests this assertion by examining whether attitudinal change reflects within cohort change or inter-cohort differences for a contemporary sample of older adults.
Mothers may be more accepting of divorce than are their offspring because one’s own experience of divorce is highly predictive of attitudes toward divorce. Although divorce attitudes are not associated with subsequent divorce behavior, nearly all women who experienced divorce reported supportive divorce attitudes following their own divorces ( Thornton, 1989 ). This finding is particularly relevant for the current study as the shares of middle-aged and older adults who have experienced divorce is pretty high. In 2009, 41% of individuals aged 50-59, 37% of those aged 60-69, and 22% of those aged 70 and older had ever divorced. By comparison, the proportions ever divorced in 1996 were considerably lower ( Kreider & Ellis, 2011 ). These patterns point to growing acceptance of divorce among middle-aged and older adults.
The current investigation charts a nearly two decade long time trend in attitudes toward divorce among older adults. The rise of gray divorce coupled with the deinstitutionalization of marriage signal that today’s older adults may be more accepting and supportive of divorce as a solution for couples who are unable to work out their marital difficulties. Prior research on attitudes toward divorce is limited in at least three ways. First, research to date has typically focused on younger adults ( Martin & Parasher, 2006 ) or a select group of middle-aged adults, such as mothers ( Thornton & Young-DeMarco, 2001 ). Second, the existing work is rather dated now and thus does not capture the contemporary population of older adults during the era of rising gray divorce rates ( Thornton, 1989 ; Thornton & Young-DeMarco, 2001 ). Third, most studies on divorce attitudes have addressed whether divorce laws should be more stringent, not whether divorce itself is a good solution when a marriage does not work out ( Kapinus & Flowers, 2008 ; Martin & Parasher, 2006 ). The deinstitutionalization of marriage argument aligns with the viewpoint that divorce is a viable option when couples do not get along.
Our study extends prior research by using recent data from 1994, 2002, and 2012 that coincides with the doubling of the gray divorce rate between 1990 and 2010 to appraise older adult attitudes toward the acceptability of divorce as an outcome for marriages that are no longer satisfactory. Our approach relies on a social change perspective which is designed to identify whether any shift in divorce attitudes is due to cohort replacement (also termed cohort succession) or within-cohort (also termed intracohort) change, or if both of these factors are operating ( Firebaugh, 1992 ; Ryder, 1965 ).
Cohort replacement refers to population turnover, which occurs as older birth cohorts die and are replaced by younger cohorts who age into the older adult population. A recent study showed that the growing support among older adults for cohabitation was due to cohort replacement. As the Baby Boomers, the first to cohabit en masse in young adulthood, moved into older adulthood and succeeded generations who lacked prior experience with cohabitation, support for cohabitation among the older adult population soared ( Brown & Wright, 2016 ). These cohort effects reflect stability within the group (i.e., cohort) over time and shared experiences over the life course (e.g., widespread cohabitation as young adults). A similar logic could be applied to divorce attitudes because Baby Boomers were the generation that experienced the apex of the divorce boom, when the divorce rate accelerated in the 1970s and peaked in the early 1980s ( Cherlin, 1992 ). Their divorce experience—whether firsthand or indirectly through their cohort—presumably nudged them to adopt supportive attitudes toward divorce during young adulthood. As cohort replacement unfolds with Baby Boomers moving into older adulthood, we can anticipate broader support for divorce.
Alternatively, within-cohort change indicates that the group’s attitudes are actually changing over time. Intracohort change often reflects alterations in the larger historical context or events that similarly affect all age groups, which are referred to as period effects ( Ryder, 1965 ). When individuals within a given cohort experience a substantial change in their divorce attitudes that signals within-cohort change. Likewise, if support for divorce rises across time within all cohorts, that is evidence of within-cohort change. As the cultural meanings of marriage and divorce have evolved to favor individualized marriages in which personal happiness is paramount and divorce is widespread ( Cherlin, 2009 ), the growth in favorable attitudes toward divorce may reflect this larger sociohistorical context that is permeating all cohorts and thus spurring within cohort change. By this logic, intracohort change is the driving factor in shifts in divorce attitudes among older adults. There is some speculative evidence for this explanation from Thornton and Young-DeMarco (2001) , who pointed to a pattern of rising support for divorce with age which they attributed to a life cycle effect.
In addition to establishing the extent to which cohort replacement versus intracohort change accounts for the shifts in older adult attitudes toward divorce over the past two decades, we also investigate the sociodemographic correlates of supportive divorce attitudes. Our assessment draws on prior research on divorce attitudes as well as the predictors of gray divorce to identify the factors that are likely to be related to older adult support for divorce. The general trend should be in the direction of greater support over time ( Thornton & Young-DeMarco, 2001 ). Whether older cohorts are more supportive than younger cohorts is uncertain. If cohort replacement is driving attitudinal change, then younger cohorts are more supportive. However, if intracohort change is operating, then it is possible that older cohorts are as likely to express favorable attitudes toward divorce as their younger counterparts.
Marital status is arguably a key determinant of support for divorce. Those who have experienced divorce themselves are nearly uniform in their support for divorce ( Thornton, 1989 ). Also, those in remarriages have a much higher risk of divorce, including gray divorce, than those in first marriages ( Amato, 2010 ; Brown & Lin, 2012 ; Sweeney, 2010 ). Thus, we anticipate that older individuals who are either divorced or remarried are more likely to express support for divorce than first married individuals. Those who are widowed may not appreciably differ from the first married. Never married individuals are known to be more supportive than marrieds of divorce ( Stokes & Ellison, 2010 ).
Other demographic characteristics are relevant. Women are more supportive of divorce than are men, on average ( Kapinus & Flowers, 2008 ; Thornton & Young-DeMarco, 2001 ). Nonwhites are more likely than Whites to experience gray divorce ( Brown & Lin, 2012 ) and they are more often opposed to more stringent divorce laws ( Stokes & Ellison, 2010 ). Economic resources, including education, employment, and income, are protective against divorce ( Amato, 2010 ) and gray divorce in particular ( Brown & Lin, 2012 ), suggesting lower levels of support for divorce among the economically advantaged. However, there is actually a positive association between resources and liberal family attitudes ( Powell, Bolzendahl, Geist, & Steelman, 2010 ). One study of women’s divorce attitudes reveals that individuals with lower levels of education tend to espouse more permissive attitudes toward divorce ( Martin & Parashar, 2006 ). Finally, social ties could be related to divorce attitudes. For example, religiosity is associated with greater support for strict divorce laws ( Stokes & Ellison, 2010 ). Children also may serve as a barrier to divorce and tend to be related to more conservative divorce attitudes ( Martin & Parashar, 2006 ).
This study expands our limited knowledge about the gray divorce revolution by establishing how supportive of divorce older adults have become over the past two decades. Moreover, it contributes to the literature on divorce attitudes, which is dated and has focused narrowly on younger adults, emphasizing their attitudes about divorce laws. Beyond establishing the trend in older adult support for divorce during an era of rising gray divorce, we also decipher the extent to which this trend is due to cohort (i.e., cohort replacement) versus period (i.e., intracohort) change. And we identify which demographic subgroups of older adults are most likely to express support for divorce. Establishing the trend and correlates of older adult attitudes toward divorce informs our understanding of the potential for future growth in gray divorce.
We used data from the 1994, 2002, and 2012 General Social Survey (GSS) because these rounds included a measure of support for divorce. The GSS, collected by the National Opinion Research Center, is a compilation of cross-sectional survey data dating back to 1972 ( Smith, Marsden, Hout, & Kim, 2013 ). Data were collected via face-to-face interviews from nationally representative samples of adults aged 18 and older. The data were suitable for the current study because a central theme of the GSS has been opinions on social issues and respondents’ views toward divorce have been tapped over the past two decades.
The three GSS rounds contained 7,731 respondents. Only a random sample of respondents was asked their opinion on divorce and thus the 3,811 who were not asked were eliminated. Respondents were removed from the analytic sample if they were missing on the dependent variable (n = 114), birth year (n = 8), or the sample weight (n = 1), leaving 3,797 respondents. Of the remaining respondents, 1,450 were aged 50 or older. We used age 50 as the cut point because gray divorce is a phenomenon confined to those aged 50 and older ( Brown & Lin, 2012 ). An initial descriptive analysis relied on the full sample (aged 18 and older) to establish whether divorce attitudes of individuals aged 50 and older differed from those of people aged 18-49. Missing data were minimal as fewer than 1% of analytic sample cases were missing on the independent measures (the only exception was income, which was missing for 12% of the cases as explained in the next section).
During each of the three years, the GSS asked respondents, “Do you agree or disagree that divorce is usually the best solution when a couple can’t seem to work out their marriage problems?” To track change in levels of support for divorce, divorce attitude was measured as a dichotomous variable with respondents who strongly agreed or agreed coded as 1 and those who neither agreed nor disagreed, disagreed, or strongly disagreed were coded as 0.
Birth cohort was a categorical variable that classified respondents according to their year of birth: 1905-1914, 1915-1924, 1925-1934, 1935-1944, 1945-1954, and 1955-1964 (reference). Period , the year of the survey was included as a series of dichotomous indicators, with each respective year (1994 [reference], 2002, and 2012) coded as 1.
Marital status was a categorical variable distinguishing among those in a first marriage (reference), remarried, widowed, divorced, and never married. Gender was coded as 1 for man and 0 for woman. Race was coded White = 1 and Nonwhite = 0.
Education was coded: less than high school, high school education (reference), some college, and college educated. Employment consisted of: full time employment (reference); part time employment; and other work, including the retired, those in school, respondents searching for work, and people temporarily away from work (e.g., for health reasons). Income captured the total family income in the survey year. We constructed income quartiles to accommodate the varied number of response categories across survey years and to account for inflation. The first quartile included earnings under $1,000 to $17,499 in 1994, under $1,000 to $19,999 in 2002, and under $1,000 to $22,499 in 2012. The second quartile was $17,500-$34,999 in 1994, $20,000-$39,999 in 2002, and $22,500-$49,999 in 2012. The third quartile was $35,000-$59,999 in 1994, $40,000-$74,999 in 2002, and from $50,000-$89,999 in 2012. The fourth quartile was at least: $60,000 in 1994, $75,000 in 2002, and $90,000 in 2012. Those with missing data (12% of the sample) on income were coded to the second quartile (the modal category). The multivariate analyses included a missing income flag (1= missing, 0 = not missing). Income was missing at random as none of the other independent variables in the analyses were associated with the log odds of missing income data (logistic regression results not shown).
Children was coded 0 = childless and 1 = one or more children. Attendance at religious services ranged from 0 = never to 8 = more than once a week.
We began by documenting the trend between 1994 and 2012 in older adults’ attitudes toward divorce, comparing it to the attitudinal pattern for younger adults aged 18-49. Then, we gauged the relative contributions of period and cohort change for divorce attitude shifts between 1994-2002 and 2002-2012 by constructing a period-by-cohort table for older adults. This social change perspective was explicated by Firebaugh (1992 , 1997 ) and also used by Norpoth (1987) . Next, we tracked levels of support for divorce across the three survey years by demographic characteristics, economic resources, and social ties to evaluate how divorce attitudes changed over time for these subgroups. Finally, a multivariate logistic regression model was estimated for the full sample of older adults to determine how much of the change in divorce attitudes was due to cohort replacement (i.e., a cohort effect) versus intracohort change (i.e., a period effect). Consistent with prior research, this approach relied on a two-factor model that assumed age effects were null given the average age of the population changed little over the 18-year time period, ( Brown & Wright, 2016 ; Alwin & McCammon, 2003 ; Glenn, 2003 ). Indeed, the mean age of the samples remained largely stable at 64.1 in 1994, 62.7 in 2002, and 63.4 in 2012. Our two mechanisms of interest were population change arising from the changing cohort composition (cohort replacement) and the role of period factors that contribute to change within cohorts (intracohort change). Analyses were conducted using the svy procedure in Stata to correct for the GSS’s complex sample design.
Across the 18 year time period, adults aged 50 and older more often expressed supportive attitudes toward divorce than did their counterparts aged 18-49, as shown in Figure 1 . The gap between the two age groups widened from about 14 to 19 percentage points between 1994 and 2012. In 1994, about 42% of 18-49 year olds and 56% of those aged 50 and older supported divorce. By 2012, the share expressing favorable attitudes was substantively unchanged for 18-49 year olds at 43% but had risen to 62% for older adults. The age differentials in support for divorce were statistically significant at all three time points.
SUPPORTIVE DIVORCE ATTITUDES BY AGE GROUP, 1994-2012
Note: Support for divorce is significantly higher for ages 50+ than ages 18-49 at all three time points, p < .001.
Table 1 depicts within cohort and total change in the percentages supporting divorce by cohort and period. The “%” columns represent the percentages of the cohort that expressed support for divorce. The “N” columns are the total numbers of respondents in the cohorts at a given time point. The change columns indicate the differences between values for 1994-2002 and 2002-2012, respectively. The row labeled “Total” reports the overall average percentage of respondents supporting divorce at each time point. Finally, the average within-cohort change row is a weighted average of the summed changes (1994-2002 or 2002-2012) across the cohorts. The rows in the table indicate that within cohort change during 1994-2002 was small, averaging only about 1.5 percentage points across the cohorts. Total change was a bit larger at −3 percentage points, signaling modest intercohort change, although the patterns within cohorts varied from - 7.9 to 16.4, suggesting greater heterogeneity during the 1994-2002 period. In contrast, within cohort change played a sizeable role during 2002-2012, when the shift in attitudes averaged 16 percentage points. Total change was lower at 9 percentage points, indicating that attitudinal shifts were mainly due to intracohort change. Older cohorts became increasingly favorable towards divorce during the 2002-2012 period. This pattern was evident for those cohorts born 1925-34, 1935-44, and 1944-54 as support grew from about 50% in 2002 to 66-77% in 2012. The oldest cohort (1915-24) remained quite supportive at about 75%, which was comparable to its support level in 2002 (73%). On balance, it seems that intracohort change was driving the recent growth in support for divorce among older adults, primarily during the 2002-2012 period.
Within-Cohort and Total Change in the Percentages of Older Adults with Supportive Divorce Attitudes, 1994-2012
1994 | 2002 | 2012 | Change | |||||
---|---|---|---|---|---|---|---|---|
Cohort | % | N | % | N | % | N | 1994-2002 | 2002-2012 |
1905-1914 | 68.3 | 46 | --- | --- | --- | --- | --- | --- |
1915-1924 | 56.2 | 130 | 72.6 | 35 | 75.0 | 12 | 16.4 | 2.4 |
1925-1934 | 52.6 | 137 | 56.0 | 100 | 77.2 | 59 | 3.4 | 21.2 |
1935-1944 | 56.2 | 180 | 48.3 | 132 | 64.1 | 125 | −7.9 | 15.8 |
1945-1954 | --- | --- | 51.0 | 140 | 66.6 | 171 | --- | 15.6 |
1955-1964 | --- | --- | --- | --- | 52.4 | 178 | --- | --- |
Total (all cohorts) | 56.3 | 493 | 53.2 | 407 | 62.7 | 545 | −3.1 | 9.1 |
Average within-cohort change (weighted by size) | 1.5 | 16.0 |
Note: The calculations in this table exclude 5 cases in the 1905-1914 cohort for 2002 due to inadequate sample size. Percentages are weighted to correct for the complex sampling design of the GSS.
Table 2 illustrates how older adult divorce attitudes have shifted over time for various subgroups. Support for divorce varied by marital status with never marrieds at the low end and remarrieds at the high end. The attitudes of first marrieds and widoweds were stable, hovering around 52% and 63%, respectively. In both 1994 and 2012, about 44% of never-married older adults reported favorable attitudes toward divorce. Older divorced individuals experienced a nonsignificant increase in their acceptance of divorce, which grew from 62% to 73%. Support among remarried older adults rose significantly from 63% to 78% over this period. In 1994, about 56% of older women and men expressed support for divorce. By 2012, the level of support among women was largely unchanged at 58% whereas men’s support rose significantly to 66%. Support among White older adults grew significantly from 54% in 1994 to 63% in 2012 whereas Nonwhites exhibited a nonsignificant decrease in their support (from 68% to 54%).
Weighted Percentages of Older Adults Who Support Divorce by Year (n=1,450)
Variable | 1994 (n=493) | 2002 (n=412) | 2012 (n=545) |
---|---|---|---|
Marital Status | |||
First married | 52.3 | 48.6 | 52.3 |
Remarried | 56.9 | 78.3 | |
Divorced | 61.9 | 55.3 | 73.0 |
Widowed | 62.6 | 61.0 | 63.9 |
Never married | 44.1 | 48.7 | 44.0 |
Gender | |||
Women | 56.3 | 47.3 | 58.0 |
Men | 60.9 | 65.8 | |
Race and Ethnicity | |||
White | 52.0 | 63.4 | |
Nonwhite | 67.6 | 59.6 | 53.6 |
Education | |||
Less than high school | 71.3 | 78.4 | |
High school graduate | 49.4 | 66.7 | |
Some college | 63.8 | 46.5 | 53.5 |
College | 46.3 | 52.4 | 54.0 |
Employment | |||
Full time employment | 53.8 | 56.4 | 59.9 |
Part time employment | 48.4 | 62.7 | 45.2 |
Other work | 49.1 | 66.1 | |
Income | |||
Quartile 1 | 56.2 | 61.0 | 65.8 |
Quartile 2 | 61.0 | 52.0 | 58.4 |
Quartile 3 | 49.3 | 66.1 | |
Quartile 4 | 55.6 | 50.3 | 60.4 |
Religious attendance (median = 4) | 85.2 | 53.5 | |
Children | 57.0 | 52.9 | 61.3 |
No children | 54.0 | 64.0 |
Analyses are weighted to correct for the complex sampling design of the GSS. Bolded coefficients are significantly different from the 2012 values, p < 0.05.
Variation in support for divorce was evident across some of the economic indicators, but consistent patterns were less apparent. The gains between 1994 and 2012 for those with either less than a high school diploma or only a high school diploma were large and statistically significant, rising from 63% to 78% and 54% to 67%, respectively. The college educated experienced a nonsignificant rise from 46% to 54%. Among those with some college, there was a nonsignificant decline in support, from 64% to 54%. Support grew modestly among the full time employed, rising from 54% to 60%. Likewise, those engaged in other work witnessed a significant increase from 59% to 66%. Support dropped slightly (not significant) for the part-time employed, from 48% in 1994 to 45% in 2012. Across the income scale, the variation in support narrowed over time such that by 2012, the range was from 58% to 66%, suggesting few differences by income group (although quartile 3 experienced significant change).
Social ties were related to divorce attitudes among older adults. Those who reported the median level of religious service attendance (i.e., several times a year) exhibited a significant shrinking of support for divorce, falling from 79% to 54% between 1994 and 2012. In the past, older adults with children more often supported divorce than their childless counterparts (57% versus 45%), but the pattern reversed such that in 2012 the childless were slightly more supportive at 64% than were those with children at 61%. The change over time was only significant for those without children, not with children.
Consistent with the period-by-cohort table ( Table 1 ), the multivariate logistic regression model depicted in Table 3 showed that both cohort and period were related to the likelihood of reporting supportive attitudes toward divorce among older adults. Older cohorts were more likely to be supportive than younger cohorts. Notably, early Baby Boomers (born 1945-54) had higher odds of supportive attitudes than later Baby Boomers (born 1955-64). Although not all of the cohorts significantly differed from one another (significant differences are denoted using superscripts in Table 3 ), the overall pattern was robust to alternative specifications (results not shown), including a linear measure of birth year (which was negatively associated with support for divorce at the p < .001 level). In addition to these cohort effects, there was also evidence for period effects. The odds of supporting divorce in 2012 were nearly twice as high as they were in 1994. As expected, the likelihood of expressing supportive divorce attitudes varied by marital status with remarried and divorced individuals more likely to report favorable attitudes than those in a first marriage. Few other factors were associated with older adult divorce attitudes. Individuals who did not complete high school were more likely to hold favorable attitudes toward divorce than their counterparts who earned a high school diploma. Those with a college degree were marginally ( p < .10) less likely to support divorce than individuals who completed high school. More frequent religious service attendance was negatively associated with the likelihood of reporting favorable attitudes toward divorce.
Logistic Regression Model Predicting Supportive Divorce Attitudes (N=1,450)
Odds Ratio | Confidence Interval | |
---|---|---|
Cohort | ||
1905-1914 | 3.86 | 1.53-9.77 |
1915-1924 | 2.90 | 1.47-5.71 |
1925-1934 | 2.58 | 1.45-4.59 |
1935-1944 | 2.05 | 1.31-3.20 |
1945-1954 | 1.79 | 1.18-2.71 |
1955-1964 (ref) | ||
Year | ||
1994 (ref) | ||
2002 | 1.02 | 0.74 – 1.39 |
2012 | 1.94 | 1.30 – 2.90 |
Marital Status | ||
First married (ref) | ||
Remarried | 1.86 | 1.28 – 2.72 |
Divorced | 1.65 | 1.17 – 2.32 |
Widowed | 1.42 | 0.99 – 2.03 |
Never married | 0.65 | 0.38 – 1.11 |
Gender | ||
Women (ref) | ||
Men | 1.20 | 0.92 – 1.57 |
Race and Ethnicity | ||
White | 0.86 | 0.61 – 1.22 |
Nonwhite (ref) | ||
Education | ||
Less than high school | 1.67 | 1.17 – 2.38 |
High school grad (ref) | ||
Some college | 0.83 | 0.59 – 1.17 |
College | 0.76 | 0.55 – 1.05 |
Employment | ||
Full time (ref) | ||
Part time | 0.75 | 0.47 – 1.19 |
Other work | 0.85 | 0.63 – 1.16 |
Income | ||
Quartile 1 (ref) | ||
Quartile 2 | 1.10 | 0.76 – 1.59 |
Quartile 3 | 1.13 | 0.74 – 1.72 |
Quartile 4 | 1.36 | 0.87 – 2.11 |
Income Flag | 0.98 | 0.62 – 1.54 |
Relig. attendance | 0.90 | 0.86 – 0.94 |
Children | 0.85 | 0.57 – 1.26 |
No children (ref) | ||
Constant | 0.83 | 0.38 – 1.82 |
Analyses are weighted to correct for the complex sampling design of the GSS.
Figure 2 shows these cohort and period effects by graphing the predicted probabilities of divorce support for each ten year birth cohort at the three time points. There was a modest cohort replacement effect operating during the 1994-2002 period as indicated by the essentially flat lines (i.e., negligible period effects) that are stacked such that older cohorts were more likely to be favorable towards divorce. The upward slopes of the lines for the 2002-2012 period are consistent with period effects or intracohort change. Evidence of cohort replacement is also apparent because the array of the birth cohort slopes persists.
PREDICTED PROBABILITY OF DIVORCE SUPPORT BY COHORT
Note: Predicted probabilities are derived from the model shown in Table 3 .
Additional analyses were conducted to test whether the effects of cohort differed across period, but no significant interactions emerged. Likewise, the covariates operated similarly on divorce attitudes by gender and marital status.
Divorce is now common across the adult life course, and actually on the rise among older adults ( Kennedy & Ruggles, 2014 ). Consistent with our expectations, older adult support for divorce has increased. In 2012, nearly two-thirds agreed that divorce was the best solution for couples who could not work out their problems whereas support hovered at 56% in 1994. Older adults were more supportive of divorce than were younger adults, and this gap grew over time.
Drawing on a social change perspective ( Firebaugh, 1992 , 1997 ; Ryder, 1987), we assessed the extent to which this change was due to cohort replacement versus intracohort change. Initially, the growth in supportive divorce attitudes was quite modest in magnitude and was driven primarily by cohort replacement. During the more recent period, intracohort change was the main reason why there was an increase in favorable divorce attitudes. The 2002-2012 period was marked by a steep ascent in support across all ten year birth cohorts, signaling broader period-based change in attitudes that was consistent with the deinstitutionalization of marriage and the run-up in gray divorce. In fact, the groups that experienced pronounced increases in support were the divorced and remarried, who themselves might have experienced a gray divorce (unfortunately, this information cannot be ascertained from the GSS, which does not include marital history measures). Although most of these individuals probably have not had a gray divorce, this possibility certainly became more likely over the 18 year time period.
Our findings revealed that support for divorce was highest among the oldest cohorts. This pattern aligned with that from prior research on childbearing-aged adults showing that attitudes toward divorce become more favorable with age ( Daugherty & Copen, 2016 ). It may seem counterintuitive because the rate of divorce remains lower for older than younger adults, but this association is consistent with the recent growth in the gray divorce rate. As older adults either experience divorce themselves or observe others in their social networks get divorced, their attitudes toward divorce could become more accepting ( Uhlenberg & Myers, 1981 ; Wu & Schimmele, 2007 ).
The rise in divorce support since 2002 indicates that a growing share of older adults views divorce as an acceptable solution for couples who are unable to work out their problems, which coincides with the emergence of individualized marriage ( Cherlin, 2009 ) and the demise of the norm of lifelong marriage ( Wu & Schimmele, 2007 ). These forces may have been emergent during the earlier period of 1994-2002, but then intensified and became widespread during the later period of 2002-2012. Contemporary shifts in the meaning of marriage and divorce are often described as altering the family behaviors of young adults, but our study suggests that these shifts have implications for older adults, too. The retreat from marriage is evident across the life course; one in three Baby Boomers is unmarried ( Lin & Brown, 2012 ). Marriage is less obligatory now for all age groups, and the results uncovered here indicate sweeping change for older adults who are most likely to express support for divorce as a solution for couples who cannot resolve their marital problems. Unlike their younger counterparts, older adults are embracing divorce as indicated both by the doubling of the gray divorce rate and the rise in supportive attitudes toward divorce.
The rise in gray divorce coupled with the increasing acceptance of divorce among older adults signals the mounting salience of divorce during the second half of life. The policy implications are uncertain, although we can expect a growing number of older adults will experience divorce after age 50 even if the gray divorce rate remains stable, reflecting the aging of the U.S. population and underscoring the urgency of new research on the consequences of gray divorce for individuals, their families, and society ( Brown & Lin, 2012 ; Brown & Wright, 2017 ). Moreover, little is known about whether gray divorce is trending upward in other countries. Only a few scholars in Europe ( Bildtgard & Oberg, 2019 ; Perrig-Chiello, Hutchison, & Morselli, 2015 ) have examined later life divorce. Cherlin (2017) recently noted that the global demographics of divorce are changing and we posit that these shifts likely encompass cross-national variation in levels and acceptance of divorce in the second half of life. An important direction for future research is to examine international patterns of gray divorce.
This study breaks new ground by tracking the divorce attitudes of older adults, but it nonetheless has some limitations. First, the sample size is adequate although the oldest (1905-1914) birth cohort is small (n = 51), potentially undermining statistical power and impeding our ability to accurately detect significant differences across groups. Second, information about respondents’ divorce histories as well as whether close relatives or friends have experienced divorce are not available. This information might be predictive of an individual’s attitudes toward divorce. Third, the social change approach emphasized period versus cohort effects, assuming null age effects given the stable age range across the three time periods. This approach is consistent with prior research (e.g., Brown & Wright, 2016 ; Alwin & McCammon, 2003 ; Glenn, 2003 ), but we acknowledge that it is possible the effects we attribute to cohort could be driven in part by age. Age is positively associated with increased wisdom and corresponding flexibility (Gluck, 2017; Owens et al., 2016 ), which could account for the growing acceptance of divorce among older adults as they age. We estimated our models using age in lieu of cohort and found comparable results, that is, age was positively associated with support for divorce (results not shown). This is equivalent to using birth year, a linear measure of cohort.
In recent years, older adults have become much more accepting of divorce. This shift primarily reflects within cohort change as period factors such as the shifting meaning of marriage have contributed to increasing acceptance of divorce across all cohorts of older adults. The rapid increase in support for divorce has unfolded within the larger context of the doubling of the gray divorce rate and the rise of individualized marriage. Clearly, older adults are open to divorce. The share of adults who support divorce is highest among those aged 50 and older and this differential has only widened in recent years, which aligns with the ongoing gray divorce revolution and foretells a sustained upward trend in divorce among older adults.
The authors thank I-Fen Lin for her valuable feedback on earlier versions of the paper. The research for this paper was supported in part by the Center for Family and Demographic Research, Bowling Green State University, which has core funding from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (P2CHD050959).
Susan L. Brown, Department of Sociology, Bowling Green State University, Bowling Green, OH 43403, (419) 372-9521, ude.usgb@lsnworb .
Matthew R. Wright, Department of Criminology, Sociology, and Geography, Arkansas State University, Jonesboro, AR 72467, (870) 972-3276, ude.etatsa@thgirwam .
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Nestled along the picturesque shores of White Bear Lake in Dellwood, Minnesota, the White Bear Yacht Club stands as a true gem among the state's exclusive recreational destinations. ... Amenities, History, Dress Code; Onwentsia Club Lake Forest IL | Membership Cost, Amenities, History, What To Know When Visiting;
White Bear Yacht Club was founded as a Yacht Club in 1889. Famed as a Club northeast of the Twin Cities, the property sits on the shorelines of White Bear Lake and was founded by group of St. Paul sailors. By the spring of 1890, the Club had more than 42 members who paid $5 initiation fees and annual dues of $3. Formal sailing competitions ...
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OUR HISTORY. White Bear Yacht Club was founded as a Yacht Club in 1889. Famed as a Club northeast of the Twin Cities, the property sits on the shorelines of White Bear Lake and was founded by group of St. Paul sailors. By the spring of 1890, the Club had more than 42 members who paid $5 initiation fees and annual dues of $3.
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