Impact of Marital Dissolution Timing and Duration on Self-Rated Health of Marriage Immigrants in Single-Person Households in South Korea

Article information

Res Community Public Health Nurs. 2025;36(1):122-129
Publication date (electronic) : 2025 March 31
doi : https://doi.org/10.12799/rcphn.2025.01011
1Professor, College of Nursing, Chonnam National University, Gwangju, Korea
2Professor, School of Nursing, Hallym University, Chunchen, Korea
3Senior Researcher, Center for Global Diaspora Studies, Chonnam National University, Gwangju, Korea
4PhD Student, College of Nursing, Chonnam National University, Gwangju, Korea
5Assistant Professor, College of Business Administration, Chonnam National University, Gwangju, Korea
Corresponding author: Kyeong Hwa Kang School of Nursing, Hallym University, 1 Hallimdaehak-gil, Chuncheon 24252, Korea Tel: +82-33-248-2716 Fax: +82-33-248-2734 E-mail: kkh05@hallym.ac.kr
Received 2025 February 5; Revised 2025 March 7; Accepted 2025 March 10.

Abstract

Purpose

This study examined associations between timing of marital dissolution, duration since marital dissolution, and self-rated health among marriage immigrants in South Korea who live in single-person households.

Methods

This cross-sectional study employed a secondary analysis of data from the 2021 Korean National Multicultural Family Survey. We performed binary logistic regression analyses to examine the relationships between the variables of interest while controlling for social support, economic well-being, psychological well-being, and sociodemographic characteristics. Data from 407 marriage immigrant single-person households were included in the analyses.

Results

Marriage immigrants’ self-rated health fluctuated over time but generally exhibited a downward trend following marital dissolution. After controlling for confounders, marital dissolution after age 50 and longer duration since dissolution (e.g., 3-6 years and 9+ years) were associated with increased odds of poor self-rated health. Unemployment and depressive symptoms significantly increased the odds of poor self-rated health, while higher social support had a protective effect.

Conclusion

Transitioning to singlehood after marital dissolution may have long-term negative health consequences, particularly for those experiencing this transition later in life. Proactive interventions focusing on social support and health resource acquisition within the initial 3 years of separation may be crucial to mitigate health decline.

Introduction

International marriages in South Korea began in the 1980s, with Korean men marrying Japanese women through religious organizations. More recently, many women who arrive in South Korea via marriage come from Southeast Asia and China [1]. From 2012 to 2022, international marriages comprised 6.8% to 9.9% of total marriages in the country [2]. The rate of international marriages peaked in 2005, declined, and then resurged since 2015, along with increasing numbers of countries of origin [3]. In 2022, domestic marriage registrations totaled 192,000 (3.7 marriages per 1,000 people), representing a 0.4% decrease from the previous year, while the total of 17,000 international marriages represented an increase of 27.2% compared to the prior year [2].

With the increasing number of international marriages has come a corresponding rise in their divorce rates. In 2022, approximately 6,000 international marriages ended in divorce, for 6.2% of all divorces in South Korea, of which two-thirds (68.2%) involved Korean husbands and marriage immigrant wives [2]. An analysis of data from 2010 to 2014 revealed a divorce rate of approximately 19% among Korean husbands and foreign-born wives and 13% among Korean wives and foreign-born husbands, both rates significantly higher than the 6% divorce rate among couples in which both partners are Korean [4].

While marital dissolution can significantly disrupt lives, reactions vary widely: some benefit, some experience temporary declines in well-being, and some may experience a permanent downward trajectory in health and well-being [5]. The divorce-stress-adjustment perspective conceptualizes marital dissolution as a long-term process that lasts from pre-separation to well beyond legal finalization. This framework integrates two contrasting models: the crisis model and the chronic strain model [5].

The crisis model is supported by a meta-analysis showing that the harmful effects of marital dissolution are most pronounced during the first few years [6]. For instance, one study showed a pronounced decline in mental health indicators (e.g., distress, anxiety, depression) among middle-aged and older adults in the period immediately following divorce, with the association weakening after approximately 5 years [7]. In contrast, the chronic strain model posits that divorce creates persistent stressors like financial hardship, loneliness, and single parenting burdens, which may lead to sustained declines in well-being despite the ability of personal resources to modulate individuals’ distress [5]. In support of this model, one study of middle-aged people found the immediate post-divorce period (within 2-3 years) characterized by elevated psychological distress, while long-term adverse effects continued to affect physical health over a decade later [8]. This pattern could be particularly pronounced among individuals who transition to singlehood after divorce [6,9-11].

For marriage immigrants in Korea, divorce represents not only a personal challenge but also a complex legal and social process intertwined with their citizenship status. Many marriage immigrants cannot return to their country of birth, yet face obstacles to integrating into Korean society [12,13]. Despite recent growth in research focusing on divorce among marriage immigrants, many studies have employed qualitative methodologies and focused primarily on the divorce process and post-divorce adjustment [12-14]. This leaves a critical research gap in investigating factors associated with marriage immigrants’ self-rated health (SRH) following marital dissolution, and particularly in understanding the influence of the timing and duration of separation. Our study addresses this gap by examining the associations between timing of marital dissolution, duration since marital dissolution, and SRH among marriage immigrants who have divorced or separated, while controlling for social support, economic well-being, psychological well-being, and sociodemographic characteristics.

Methods

Study Design and Sample

The present study was a secondary data analysis of data from the 2021 National Multicultural Family Survey in Korea, a nationally representative survey conducted every 3 years by the Ministry of Gender Equality and Family and Statistics Korea [15]. The survey is conducted by trained interviewers using a questionnaire and focuses on marriage immigrants (including naturalized citizens), their spouses, and their children aged 9 to 24 years. The 2021 survey was conducted from August 2 to September 10, 2021; due to the impact of the COVID-19 pandemic, it combined face-to-face and online surveys. From the 15,421 immigrants who responded to the 2021 survey, we selected and analyzed data from 407 divorced or separated marriage immigrants living in single-person households.

Measures

1. Dependent Variable: Self-Rated Health

SRH was measured using a single item: “How is your overall health?” Participants responded using a 5-point Likert scale (consisting of very good, good, fair, poor, and very poor). We categorized the SRH responses into two groups: “good” (very good or good) and “poor” (very poor, poor, or fair).

2. Independent Variables: Timing and Duration of Marital Dissolution

Marital dissolution timing and duration measures included age at divorce or separation and years since divorce or separation. We used 3-year intervals for duration of marital dissolution, guided by previous research indicating that the impact of marital dissolution on health may manifest in as few as 3 years or less [16], and that mortality rates following marital dissolution exhibit significant differences starting at the 3-year mark [17].

3. Covariates

To account for potential confounding effects, our analysis included data on four covariate categories: social support, economic well-being, psychological well-being, and sociodemographic characteristics.

Social support was measured using three questions that asked whether there was anyone to help when respondents were sick (0=no, 1=yes), needed money (0=no, 1=yes), or were depressed (0=no, 1=yes). Total scores ranged from 0 to 3, with a higher score indicating a higher level of social support.

Economic well-being included employment status, measured by whether the respondent had worked in the past week (yes/no), and subjective social status, measured with a single question: “In terms of various factors, such as income, wealth, education, and occupation, to what social class do you think your family belongs?” Participants responded using a 6-point scale (upper-high, upper-low, middle-high, middle-low, lower-high, lower-low). We categorized these responses into two groups: “high and middle” (upper-high, upper-low, middle-high, and middle-low) and “low” (lower-high and lower-low).

Psychological well-being measures included perceived discrimination and depressive symptoms. Perceived discrimination was measured using a single question with binary response options (yes/no): “During the past 12 months, was there ever a time that you were discriminated against in Korea?” Depressive symptoms were also measured using a single question: “Have you ever felt sad or hopeless for at least 2 weeks to the point where it interfered with your daily life in the past year?” Participants responded using a 4-point scale (never, sometimes, often, and very often), and we categorized these responses into two groups: “no” (never) and “yes” (sometimes, often, and very often).

Sociodemographic characteristics collected encompassed age, gender (self-selected from response options of male or female), years of education attained at time of arrival in the country, and ethnicity (self-reported on an open-ended question and defined for this study as Chinese, Korean Chinese, or other).

Ethical Considerations

The data used in this study were downloaded from the Microdata Integrated Service of Statistics Korea (http://mdis.kostat.go.kr/index.do), which provides publicly available data with personal information already deleted. This study was reviewed and approved by the research ethics committee of the first author’s institution (IRB No. 1040198-231227-HR-193-01).

Data Analysis

All statistical analyses were performed with IBM SPSS Statistics Version 26.0 for Windows (IBM Corporation, Armonk, NY, USA). Independent t-test, chi-squared, and Fisher’s exact tests were conducted to compare differences in sociodemographic characteristics and personal well-being between the two groups based on good versus poor SRH. We used a binary logistic regression, with odds ratios (ORs) and 95% confidence intervals (CIs), to identify predictors for single-household marriage immigrants’ SRH. Additionally, to assess whether the independent variables (ordinal or continuous) exhibited a statistically significant linear trend in relation to SRH, we analyzed p-trend values.

Results

Characteristics of the Sample

The participants’ mean age was 50.61 years (SD=11.34), and most (83.8%) were women and either Chinese (27.6%) or Korean Chinese (43.5%). Their mean reported level of social support was 2.67 out of 3 (SD=1.56). The majority had worked in the past week (67.1%) and reported low subjective social status (68.6%). Some reported perceived discrimination (14.7%). Nearly half reported depressive symptoms (46.2%). The mean age at the time of divorce or separation was 42.66 years (SD=10.52), and the mean duration since divorce or separation was 7.95 years (SD=5.98). About half of the participants (51.4%) reported that their health was good (Table 1).

Socioeconomic and study variable characteristics of the sample (N=407)

Associations Between Independent Variables and Self-Rated Health

We observed differences in SRH according to ethnicity, with a higher proportion of Korean Chinese individuals found in the group with poor SRH (χ2=15.96, p<.001). Compared to the group with good SRH, the group with poor SRH reported lower mean levels of social support (t=4.31, p<.001) and higher rates of low social status (χ2=5.80, p=.016) and depressive symptoms (χ2=18.36, p<.001). The group with poor SRH also had a higher mean age at divorce or separation (t=-5.52, p<.001) and had experienced a longer period post-divorce or separation (t=-3.77, p<.001). No significant differences in SRH were observed related to age, gender, years of education at arrival in Korea, or perceived discrimination (Table 2).

Associations between variables and self-rated health (N=407)

Binary Logistic Regression Analysis of Variables by Poor Self-Rated Health

The binary logistic regression model explained 35.0% (Nagelkerke R2) of the variance in SRH and correctly classified 70.6% of cases. Individuals who had experienced marital dissolution after 50 years of age had significantly higher odds of poor SRH (OR=4.87, 95% CI=1.29-18.38) compared to those who separated before age 30. Furthermore, the odds of poor SRH were elevated for those who had been separated for 3–6 years (OR=2.74, 95% CI=1.28-5.88), 9-12 years (OR=2.76, 95% CI=1.15-6.63), 12–15 years (OR=4.39, 95% CI=1.65-11.69), and 15+ years (OR=5.37, 95% CI=1.82-15.83) compared to the group who had less than 3 years since marital dissolution. Figure 1 visually depicts the association between duration since marital dissolution and mean SRH scores, suggesting a fluctuating pattern with an overall downward trend in SRH over time. Age at marital dissolution, years since marital dissolution, and social support exhibited a significant linear trend with p-trend <.05.

Figure 1.

Self-rated health trajectories after marital dissolution

Unemployment during the past week (OR=2.57, 95% CI=1.50-4.40) and depressive symptoms (OR=3.08, 95% CI=1.87-5.07) were also significantly associated with increased odds of poor SRH. Conversely, higher social support was associated with decreased odds of poor SRH (OR=0.78, 95% CI=0.66-0.91). No significant associations were found between SRH and age, gender, years of education at arrival in the country, ethnicity, subjective social status, or perceived discrimination (Table 3).

Binary logistic regression analysis of variables by poor self-rated health

DISCUSSION

Our findings suggest an association between the timing of marital dissolution and SRH. Notably, the odds of reporting poor SRH were 4.87 times higher among adults 50 years of age and older compared to those 30 years old or younger. Adverse life events such as divorce can diminish a person’s sense of control over life, leading to negative mental and physical health consequences, in any age group. However, the impact on health may vary due to differences in developmental tasks and individual characteristics across the lifespan [18-20]. Middle-aged and older adults have been found to experience a steeper decline in perceived control following adverse life events compared to younger adults [18]. This diminished sense of control, coupled with longer recovery periods, may lead to greater vulnerability to the long-term negative effects of divorce.

In contrast to previous literature suggesting that the adverse effects of marital dissolution on health wane over time [6,7], marriage immigrants in our study reported the most positive SRH within the first 3 years post dissolution. This may be attributable to relief from the stressors associated with troubled marital relationships. A recent national survey in South Korea identified reasons for divorce among marriage immigrants, with personality differences the most common reason (50.7%), followed by economic hardship (14.0%), abuse or violence (8.8%), and emotional infidelity (7.5%) [15]. Qualitative studies on marriage immigrant women’s divorce experiences further highlight communication issues, authoritative behavior from husbands and in-laws, financial difficulties, and verbal and/or physical abuse as significant challenges [12,14].

However, the initial positive health reports may not be sustainable. We found increases in negative perceptions regarding health status after 3 years post dissolution, which further substantiate the chronic strain model’s suggestion that marital dissolution leads to a persistent decline in subjective well-being and health [5,21,22]. This decline is likely due to the loss of social, psychological, and economic resources typically associated with marriage [23]. Among immigrant women, difficulties obtaining alimony or equitable property division often lead to economic hardship as they navigate independence without adequate support systems [12,24]. Disrupted social networks, coupled with feelings of loneliness, anxiety, and societal discrimination, further contribute to mental health challenges [12,24]. Moreover, remaining unmarried and living alone has been linked to long-term negative health consequences [6,9,10]. The marital resource model suggests that individuals who do not remarry after divorce face a higher risk of premature mortality, with mortality rates 30% to 66% higher than among married individuals [6,25].

This study controlled for relevant socioeconomic and psychological variables known to influence health outcomes post marital dissolution [6,11,25]. Consistent with prior research, we found economic activity, depressive symptoms, and social support to be significantly associated with SRH. Economic hardship may limit access to health care services and resources, potentially worsening health issues [6,20,26]. Divorced marriage immigrants who face challenges in the host country’s labor market due to lack of experience or credential recognition are more likely to experience economic hardship [27,28]. Meanwhile, individuals experiencing depressive symptoms following separation are known to have increased risk of chronic illness morbidity and mortality [29]. Divorced immigrant women in Korea often experience social stigma—due to suspicion of involvement in a “marriage of convenience”—that makes them vulnerable to mental health problems arising from social isolation [13,24]. Social support plays a crucial role in post-divorce adaptation and health status [29]. Following disruption in one’s social network, gradually forming social ties and expanding support networks can lead to satisfaction with current life circumstances [27]. Therefore, establishing a resilient social support system is essential for enhancing the well-being of divorced or separated immigrants living alone.

Strengths and Limitations

In recognition of the growing number of single-person households in the country, the 2021 National Multicultural Family Survey in Korea broadened its scope to include marriage immigrants residing alone. This shift targeted a previously understudied population—marriage immigrants in single-person households—who, due to their unique intersectionalities, face heightened risks for health vulnerabilities. This study offers a unique contribution by examining the associations between SRH and timing and duration of marital dissolution among marriage immigrants residing in single-person households within their host country.

In this study, the final regression model explained 35.0% of the variance, indicating that while the model accounts for a significant proportion of variance, additional factors likely influence the outcome variable. Nevertheless, the model does not incorporate key psychological determinants, such as resilience in coping with both the transition to and the aftermath of divorce and affective experiences (e.g., attachment anxiety), as well as health behaviors (e.g., smoking, alcohol consumption, and poor dietary habits) [7,8,25]. Because this study excluded marriage immigrants cohabiting with children or relatives, as well as those who had left Korea following marital dissolution, the generalizability of the findings may be limited. Moreover, the cross-sectional nature of this study prevents an examination of within-individual changes in health following divorce. Panel studies that employ a longitudinal design to track changes over time could be particularly valuable in exploring the factors influencing this observed pattern.

CONCLUSION

Transitioning to singlehood after marital dissolution may have long-term negative health consequences, particularly for those experiencing this transition later in life. In line with the chronic strain model, marriage immigrant individuals who dissolved their marriages after age 50 exhibited significantly poorer SRH compared to those who separated before age 30. Additionally, individuals who had been separated 3–6 years or 9+ years reported poorer SRH compared to those within 3 years of separation. To mitigate health declines, proactive interventions focusing on enhancing social support and acquiring health management resources within the initial 3 years of separation may be crucial.

Notes

Conflict of interest

Duckhee Chae has been an editorial board member of the Research in Community and Public Health Nursing. She was not involved in the review process of this manuscript. Otherwise, there was no conflict of interest.

Funding

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2021S1A5C2A02089141). The funder did not play any role in the conduct or publication of the study.

Authors’ contributions

Duckhee Chae contributed to conceptualization, funding acquisition, methodology, project administration, writing - original draft, review & editing, supervision, and validation. Kyeong Hwa Kang contributed to conceptualization, methodology, and writing - original draft, review & editing. Nakyung Kim conributed to methodology, and writing - original draft, review & editing. Keiko Asami contributed to data cuaration, formal analysis, visualization, and writing - original draft, review & editing. Jongdae Kim contributed to formal analysis, and writing - original draft, review & editing.

Data availability

The data that support the findings of this study are available from the Microdata Integrated Service of Statistics Korea. Restrictions apply to the availability. of these data, which were used under license for this study. Data are available http://mdis.kostat.go.kr/index.do with the permission of Statistics Korea.

Acknowledgments

None.

References

1. Lee T. Migration data and marriage migrants in the Republic of Korea [Internet]. Geneva: International Organization for Migration; 2023 [cited 2025 Mar 6]. Available from: https://publications.iom.int/books/migration-data-and-marriage-migrants-republic-korea.
2. Statistics Korea. Marriage and divorce statistics in 2022 [Internet]. Seoul: Statistics Korea; 2023 [cited 2024 May 30]. Available from: https://kostat.go.kr/board.es?mid=a10301010000&bid=204&list_no=424356&act=view&mainXml=Y.
3. Ryu J, Hwang S-S. A study on the changes and characteristics of international marriage types. Gyeonggi: Gyeonggi Research Institute, 2021 November. Research No.: 2021-11.
4. Choi Y, Kim DS, Ryu J. Marital dissolution of transnational couples in South Korea. Journal of Ethnic and Migration Studies 2019;26(14):3013–3039. https://doi.org/10.1080/1369183X.2019.1585021. 10.1080/1369183X.2019.1585021.
5. Amato PR. The consequences of divorce for adults and children. Journal of Marriage and Family 2000;62(4):1269–1287. https://doi.org/10.1111/j.1741-3737.2000.01269.x. 10.1111/j.1741-3737.2000.01269.x.
6. Shor E, Roelfs DJ, Bugyi P, Schwartz JE. Meta-analysis of marital dissolution and mortality: Reevaluating the intersection of gender and age. Social Science & Medicine 2012;75(1):46–59. https://doi.org/10.1016/j.socscimed.2012.03.010. 10.1016/j.socscimed.2012.03.010. 22534377.
7. Ding D, Gale J, Bauman A, Phongsavan P, Nguyen B. Effects of divorce and widowhood on subsequent health behaviours and outcomes in a sample of middle-aged and older Australian adults. Scientific Reports 2021;11(1):15237. https://doi.org/10.1038/s41598-021-93210-y. 10.1038/s41598-021-93210-y. 34341364.
8. Lorenz FO, Wickrama KAS, Conger RD, Elder Jr GH. The short-term and decade-long effects of divorce on women’s midlife health. Journal of Health and Social Behavior 2006;47(2):111–125. https://doi.org/10.1177/002214650604700202. 10.1177/002214650604700202. 16821506.
9. Hughes ME, Waite LJ. Marital biography and health at mid-life. Journal of Health and Social Behavior 2009;50(3):344–358. https://doi.org/10.1177/002214650905000307. 10.1177/002214650905000307. 19711810.
10. Pudrovska T, Schieman S, Carr D. Strains of singlehood in later life: Do race and gender matter? The Journals of Gerontology: Series B, Psychological Sciences and Social Sciences 2006;61(6):S315–S322. https://doi.org/10.1093/geronb/61.6.S315. 10.1093/geronb/61.6.S315. 17114311.
11. Sbarra DA. Divorce and health: Current trends and future directions. Psychosomatic Medicine 2015;77(3):227–236. https://doi.org/10.1097/PSY.0000000000000168. 10.1097/PSY.0000000000000168. 25829240.
12. Kim HJ. A study on married immigrant women’s family dissolution experience and support policy. Gender and Society 2020;31(1):5–34. https://doi.org/10.47949/gas.2020.31.001. 10.47949/gas.2020.31.001.
13. Lee HK. Life experience of female marriage immigrants after divorce. Korean Journal of Family Social Work 2015;47:29–54. http://doi.org/10.16975/kjfsw.2015..47.002. 10.16975/kjfsw.2015..47.002.
14. Park MJ. Um MY. A study on the divorce experienced by marriage immigrant women. Korean Journal of Social Welfare 2015;67(2):33–60. http://doi.org/10.20970/kasw.2015.67.2.002. 10.20970/kasw.2015.67.2.002.
15. Ministry of Gender Equality and Family. 2021 national survey of multicultural families [Internet]. Seoul: Ministry of Gender Equality and Family. 2022 [cited 2024 May 30]. Available from: https://www.mogef.go.kr/mp/pcd/mp_pcd_s001d.do?mid=plc503&bbtSn=704929.
16. Brockmann H, Klein T. Love and death in Germany: The marital biography and its effect on mortality. Journal of Marriage and Family 2004;66(3):567–581. https://doi.org/10.1111/j.0022-2445.2004.00038.x. 10.1111/j.0022-2445.2004.00038.x.
17. Dupre ME, Beck AN, Meadows SO. Marital trajectories and mortality among US adults. American Journal of Epidemiology 2009;170(5):546–555. https://doi.org/10.1093/aje/kwp194. 10.1093/aje/kwp194. 19584130.
18. Cairney J, Krause N. Negative life events and age-related decline in mastery: Are older adults more vulnerable to the control-eroding effect of stress? The Journals of Gerontology: Series B, Psychological Sciences and Social Sciences 2008;63(3):S162–170. https://doi.org/10.1093/geronb/63.3.s162. 10.1093/geronb/63.3.s162. 18559691.
19. Lin IF, Brown SL. Consequences of later‐life divorce and widowhood for adult well‐being: A call for the convalescence model. Journal of Family Theory & Review 2020;12(2):264–277. https://doi.org/10.1111/jftr.12366. 10.1111/jftr.12366.
20. Liu H. Marital dissolution and self-rated health: Age trajectories and birth cohort variations. Social Science & Medicine 2012;74(7):1107–1116. https://doi.org/10.1016/j.socscimed.2011.11.037. 10.1016/j.socscimed.2011.11.037. 22341805.
21. Amato PR. Research on divorce: Continuing trends and new developments. Journal of Marriage and Family 2010;72(3):650–666. https://doi.org/10.1111/j.1741-3737.2010.00723.x. 10.1111/j.1741-3737.2010.00723.x.
22. Monden CWS, Metsä-Simola N, Saarioja S, Martikainen P. Divorce and subsequent increase in uptake of antidepressant medication: A Finnish registry-based study on couple versus individual effects. BMC Public Health 2015;15:158. https://doi.org/10.1186/s12889-015-1508-9. 10.1186/s12889-015-1508-9. 25884431.
23. Liu H, Umberson DJ. The times they are a changin’: Marital status and health differentials from 1972 to 2003. Journal of Health and Social Behavior 2008;49(3):239–253. https://doi.org/10.1177/002214650804900301. 10.1177/002214650804900301. 18771061.
24. Kim SS, Wang KS. A case study on the independence of marriage immigrant women after divorce. The Journal of Counseling Psychology Education Welfare 2021;8(4):103–118. http://dx.doi.org/10.20496/cpew.2021.8.4.103. 10.20496/cpew.2021.8.4.103.
25. Sbarra DA, Law RW, Portley RM. Divorce and death: A meta-analysis and research agenda for clinical, social, and health psychology. Perspectives on Psychological Science 2011;6(5):454–474. https://doi.org/10.1177/1745691611414724. 10.1177/1745691611414724. 26168197.
26. Bae S, Graham JE, Nam S, Hong I. Association between divorce and access to healthcare services among married immigrants: Propensity score approaches. Archives of Public Health 2022;80(1):81. https://doi.org/10.1186/s13690-022-00840-3. 10.1186/s13690-022-00840-3. 35287736.
27. Chen IH, Niu SF, Yeh YC, Chen IJ, Kuo SF. Psychological distress among immigrant women who divorced: Resilience as a mediator. Archives of Psychiatric Nursing 2022;39:1–6. https://doi.org/10.1016/j.apnu.2021.11.006. 10.1016/j.apnu.2021.11.006. 35688538.
28. Lee JS. A study on the policy planes for secure settlement of dissolution multicultural families: Focused on in-depth interview in Busan. The Journal of Humanities and Social Sciences 21 2018;9(3):771–784. https://doi.org/10.22143/HSS21.9.3.57. 10.22143/HSS21.9.3.57.
29. Malgaroli M, Galatzer-Levy IR, Bonanno GA. Heterogeneity in trajectories of depression in response to divorce is associated with differential risk for mortality. Clinical Psychological Scienc 2017;5(5):843–850. https://doi.org/10.1177/2167702617705951. 10.1177/2167702617705951. 29034135.
30. Kołodziej-Zaleska A, Przybyła-Basista H. Psychological well-being of individuals after divorce: The role of social support. Current Issues in Personality Psychology 2016;4(4):206–216. https://doi.org/10.5114/cipp.2016.62940. 10.5114/cipp.2016.62940.

Article information Continued

Figure 1.

Self-rated health trajectories after marital dissolution

Table 1.

Socioeconomic and study variable characteristics of the sample (N=407)

Characteristics Categories n (%) or M±SD
Age, mean (years) 50.61±11.34
≤44 112 (27.5)
45–64 256 (62.9)
≥65 39 (9.6)
Gender Male 66 (16.2)
Female 341 (83.8)
Years of education at arrival 10.43±2.97
Ethnicity (n=405) Korean Chinese 176 (43.5)
Chinese 112 (27.6)
Other 117 (28.9)
Social support 2.67±1.56
Worked in the past week Yes 273 (67.1)
No 134 (32.9)
Subjective social status Low 279 (68.6)
High and middle 128 (31.4)
Perceived discrimination Yes 60 (14.7)
No 347 (85.3)
Depressive symptoms Yes 188 (46.2)
No 219 (53.8)
Age at marital dissolution 42.66±10.52
<30 54 (13.3)
30–39 112 (27.5)
40–49 124 (30.5)
≥50 117 (28.7)
Years since marital dissolution 7.95±5.98
<3 82 (20.1)
3 to <6 85 (20.9)
6 to <9 70 (17.2)
9 to <12 67 (16.5)
12 to <15 47 (11.5)
≥15 56 (13.8)
Self-rated health Poor 198 (48.6)
Good 209 (51.4)

Respondents were given a choice of male or female for gender and an open-ended response option for ethnicity.

Other ethnicities included Vietnamese (n=36), Filipino (n=18), Cambodian (n=18), and additional ethnicities with much smaller numbers.

Table 2.

Associations between variables and self-rated health (N=407)

Self-rated health
Good (n=209) Poor (n=198) t/χ2 (p)
n (%) or M±SD
Age (years) 46.83±10.94 54.59±10.38 −7.33 (<.001)
 ≤44 82 (39.2) 30 (15.2) 38.70 (<.001)
 45–64 119 (56.9) 137 (69.1)
 ≥65 8 (3.9) 31 (15.7)
Gender
 Male 39 (18.7) 27 (13.6) 1.89 (.169)
 Female 170 (81.3) 171 (86.4)
Years of education at arrival 10.69±2.92 10.15±3.01 1.80 (.073)
Ethnicity (n=405)
 Korean Chinese 74 (35.7) 102 (51.5) 15.96 (<.001)
 Chinese 56 (27.1) 56 (28.3)
 Other 77 (37.2) 40 (20.2)
Social support 2.99±1.45 2.33±1.60 4.31 (<.001)
Worked in the past week
 Yes 168 (80.4) 105 (53.0) 34.45 (<.001)
 No 41 (19.6) 93 (47.0)
Subjective social status
 Low 132 (63.2) 147 (74.2) 5.80 (.016)
 High and middle 77 (36.8) 51 (25.8)
Perceived discrimination
 Yes 28 (13.4) 32 (16.2) 0.62 (.432)
 No 181 (86.6) 166 (83.8)
Depressive symptoms
 Yes 75 (35.9) 113 (57.1) 18.36 (<.001)
 No 134 (64.1) 85 (42.9)
Age at marital dissolution 39.95±10.02 45.51±10.31 −5.52 (<.001)
 <30 36 (17.2) 18 (9.1) 30.80 (<.001)
 30–39 72 (34.4) 40 (20.2)
 40–49 64 (30.6) 60 (30.3)
 ≥50 37 (17.7) 80 (40.4)
Years since marital dissolution 6.88±5.54 9.08±6.23 −3.77 (<.001)
 <3 54 (25.8) 28 (14.1) 20.53 (.001)
 3 to <6 44 (21.1) 41 (20.7)
 6 to <9 42 (20.1) 28 (14.1)
 9 to <12 33 (15.8) 34 (17.2)
 12 to <15 15 (7.2) 32 (16.2)
 ≥15 21 (10.0) 35 (17.7)

Respondents were given a choice of male or female for gender and an open-ended response option for ethnicity. “Other” ethnicities included Vietnamese, Filipino, Cambodian, and additional ethnicities with much smaller numbers.

Table 3.

Binary logistic regression analysis of variables by poor self-rated health

Variables OR 95% CI p p-trend
Age at marital dissolution .013
 <30 Reference
 30–39 0.90 0.37, 2.20 .812
 40–49 1.47 0.46, 4.64 .513
 ≥50 4.87 1.29, 18.38 .019
Years since marital dissolution .015
 <3 Reference
 3 to <6 2.74 1.28, 5.88 .010
 6 to <9 0.96 0.42, 2.19 .929
 9 to <12 2.76 1.15, 6.63 .023
 12 to <15 4.39 1.65, 11.69 .003
 ≥15 5.37 1.82, 15.83 .002
Covariates
Age .767
 ≤44 Reference
 45–64 1.09 0.40, 2.92 .869
 ≥65 1.70 0.37, 7.73 .494
Gender
 Male Reference
 Female 1.53 0.79, 2.99 .209
Years of education at arrival 0.97 0.89, 1.06 .466 .326
Ethnicity
 Korean Chinese 0.93 0.44, 1.97 .840
 Chinese 0.98 0.46, 2.10 .967
 Other Reference
Social support 0.78 0.66, 0.91 .002 .002
Worked in the past week
 Yes Reference
 No 2.57 1.50, 4.40 .001
Subjective social status
 Low 1.04 0.61, 1.75 .891
 High and middle Reference
Perceived discrimination
 Yes 1.64 0.82, 3.26 .159
 No Reference
Depressive symptoms
 Yes 3.08 1.87, 5.07 <.001
 No Reference
Hosmer & Lemeshow χ2 (p) 4.77 (.782)
Nagelkerke R2 0.35
Classification accuracy (%) 70.6