Actor-Partner Interdependence Model Analysis of the Relationship Between Individual Social Capital and Depressive Symptoms Among Older Couples Across Different Socioeconomic Statuses

WANG Yuyang, BIAN Yahao, GAO Bo

Abstract

Objective 

 To investigate the effects of individual social capital on depressive symptoms among older couples across different socioeconomic statuses (SES) using the actor-partner interdependence model (APIM).

Methods 

A cross-sectional survey was conducted using a staged sampling method, involving 245 older couples from communities in Chengdu, China. Data on household SES, individual social capital, and depression levels were collected. Pearson correlation analysis was performed to examine the relationships among these variables, and the APIM was applied to analyze the actor and partner effects of individual social capital on depression across different SES groups.

Results 

 The prevalence of depressive symptoms was 38.2%. Individual social capital of the husbands and wives was negatively correlated with their personal depression levels (actor effects among the husbands: r = -0.218, P < 0.01; those among the wives: r = -0.323, P < 0.01) and with the spouse's depression levels (partner effects: husband on wife, r = -0.185, P < 0.01; wife on husband: r = -0.183, P < 0.01). Among high-SES couples, the husband's social capital had a protective effect only on his own depression (β = -0.242, 95% CI: -0.462 to -0.054). In contrast, among low-SES couples, the wife's individual social capital exhibited a protective effect against depressive symptoms both for herself (β = -0.658, 95% CI: -0.848 to -0.456) and for the husband (β = -0.379, 95% CI: -0.630 to -0.143).

Conclusion 

 Individual social capital among older couples demonstrates both actor and partner effects on depression levels, with distinct pathways of influence observed across different levels of SES. These findings highlight the importance of considering socioeconomic status when designing interventions to enhance social capital and improve mental health outcomes in older couples.

 

Keywords: Older adults, Social class, Social capital, Depression


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References


MAIER A, RIEDEL-HELLER S G, PABST A, et al. Risk factors and protective factors of depression in older people 65+. A systematic review. PLoS One, 2021, 16(5): e0251326. doi: 10.1371/journal.pone.0251326. XUE X, REED W R, MENCLOVA A. Social capital and health: a meta-analysis. J Health Econ, 2020, 72: 102317. doi: 10.1016/j.jhealeco.2020.102317.

WANG J J, LAI D W L, YU W. Social capital and mental wellbeing of older people migrating along with adult children in Shenzhen, China. Int J Environ Res Public Health, 2023, 20(19): 6857. doi: 10.3390/ijerph20196857.

POTTER S, RÖCKE C, GERSTORF D, et al. Partner pain and affect in the daily lives of older couples. J Gerontol B Psychol Sci Soc Sci, 2022, 77(7): 1197-1209. doi: 10.1093/geronb/gbab188.

APPAU S, AWAWORYI CHURCHILL S, SMYTH R, et al. Social capital inequality and subjective wellbeing of older Chinese. Soc Indic Res, 2022, 160: 541-563 . doi: 10.1007/s11205-020-02340-9.

KENNY D A, COOK W. Partner effects in relationship research: conceptual issues, analytic difficulties, and illustrations. Personal Relat, 1999, 6(4): 433-448. doi: 10.1111/j.1475-6811.1999.tb00202.x.

KENNY D, KASHY D, COOK W, et al. mDyadic data analysis. New York: The Guilford press, 2006: 56-73.

HUANG Q B, WANG X H, CHEN G. Reliability and validity of 10-item ces-d among middle aged and older adults in China. China Journal of Health Psychology, 2015, 23(7): 1036-1041. doi: 10.13342/j.cnki.cjhp. 2015.07.023.

ANDRESEN E M, MALMGREN J A, CARTER W B, et al. Screening for depression in well older adults: evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale). American Journal of Preventive Medicine, 1994, 10(2): 77-84. doi: 10.1016/S0749-3797(18) 30622-6.

LIN S R, SU X, WU Y L, et al. A prospective cohort study of socioeconomic status, healthy lifestyle and the incidence of hypertension. Chinese Journal of Disease Control & Prevention, 2023, 27(4): 379-384. doi: 10.16462/j.cnki.zhjbkz.2023.04.002.

ZHANG X D, LIN S R, CHEN M, et al. Prospective cohort study on the impact of socioeconomic status andhealthy lifestyle on the incidence of overweight and obesity. Chinese Preventive Medicine, 2024, 25(5): 580-586. doi: 10.16506/j.1009-6639.2024.05.012.

CHEN R, HU X, GAO B. Establishment of an index system for evaluation on health-related social capital for new urban immigrants in China. Chinese Journal of Public Health, 2020, 36(7): 1055-1057. doi: 10.11847/zgggws1121292.

KENNY D A, LEDERMANN T. Detecting, measuring, and testing dyadic patterns in the actor-partner interdependence model. J Fam Psychol, 2010, 24(3): 359-366. doi: 10.1037/a0019651.

LIU C, WU X C. Dyadic patterns in the actor-partner interdependence model and its testing. Psychological Development and Education, 2017, 33(1): 105-112. doi: 10.16187/j.cnki.issn1001-4918.2017.01.12.

YE X, WANG X. Associations of multimorbidity with body pain, sleep duration, and depression among middle-aged and older adults in China. Health Qual Life Outcomes, 2024, 22(1): 23. doi: 10.1186/s12955-024-02238-x.

CAO L, ZHOU Y, LIU H, et al. Bidirectional longitudinal study of frailty and depressive symptoms among older Chinese adults. Front Aging Neurosci, 2022, 14: 791971. doi: 10.3389/fnagi.2022.791971.

ZHENG G, ZHOU B, FANG Z, et al. Living alone and the risk of depressive symptoms: a cross-sectional and cohort analysis based on the China Health and Retirement Longitudinal Study. BMC Psychiatry, 2023, 23(1): 853. doi: 10.1186/s12888-023-05370-y.

LI X, ZHANG H, HAN X, et al. Predictive potential of somatic symptoms for the identification of subthreshold depression and major depressive disorder in primary care settings. Front Psychiatry, 2023, 14: 999047. doi: 10.3389/fpsyt.2023.999047.

FANG M, CHEN J, GUO L, et al. Gender differences in geriatric depressive symptoms in rural China: the role of physical housing environments and living arrangements. Int J Environ Res Public Health, 2019, 16(5): 774. doi: 10.3390/ijerph16050774.

YAN Y, DU Y, LI X, et al. Physical function, ADL, and depressive symptoms in Chinese elderly: evidence from the CHARLS. Front Public Health, 2023, 11: 1017689. doi: 10.3389/fpubh.2023.1017689.

YANG J, WANG Y, ZHENG X, et al. Key modifiable factors in urban-rural differences in depression among older adults in China: a comparative study between China and the United States. Int Psychogeriatr, 2025, 37(4): 100046. doi: 10.1016/j.inpsyc.2025.100046.

WANG Y, LIU M, YANG F, et al. The associations of socioeconomic status, social activities, and loneliness with depressive symptoms in adults aged 50 years and older across 24 countries: findings from five prospective cohort studies. Lancet Healthy Longev, 2024, 5(9): 100618. doi: 10.1016/j. lanhl.2024.07.001.

PHELAN J C, LINK B G, TEHRANIFAR P. Social conditions as fundamental causes of health inequalities: theory, evidence, and policy implications. J Health Soc Behav, 2010, 51(Suppl): S28-S40. doi: 10.1177/0022146510383498.

ZHENG J, YAN L. The impact of widowhood on the mental health of older adults and the buffering effect of social capital. Front Public Health, 2024, 12: 1385592. doi: 10.3389/fpubh.2024.1385592.

HOU J M, ZHOU W J. A study of the impact of social capital on depression among the elderly people. Population Journal, 2024, 46(3): 113-128. doi: 10.16405/j.cnki.1004-129X.2024.03.008.

Van KLEEF G A, CÔTÉ S. The social effects of emotions. Annu Rev Psychol, 2022, 73: 629-658. doi: 10.1146/annurev-psych-020821-010855.

COLEMAN J. Sociological analysis of economic institutions: Social capital in the creation of human capital. The American Journal of Sociology, 1988, 94(Supplement): S95-S120.

PARKER P D, Van ZANDEN B, MARSH H W. et al. The intersection of gender, social class, and cultural context: a meta-analysis. Educational Psychology Review, 2020, 32(1): 197-228. doi: 10.1007/S10648-019-09493-1.


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