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BMC Public Health
Published in: BMC Public Health 1/2024

Open Access 01-12-2024 | Mood Disorders | Research

The longitudinal relationship between leisure activities and depressive symptoms among older Chinese adults: an autoregressive cross-lagged analysis approach

Author: Juanjuan Wang

Published in: BMC Public Health | Issue 1/2024

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Abstract

Background

Existing studies have shown a correlation between leisure activities and depressive symptoms in older adults, but the direction of the longitudinal relationship is inconsistent. This study used an autoregressive cross-lagged model to examine the longitudinal relationship between leisure activity participation and geriatric depression.

Methods

A total of 7,138 participants aged 60 years or older from the 2nd to the 4th wave of the China Health and Retirement Longitudinal Study (CHARLS) were analysed.

Results

First, present depressive symptoms were significantly associated with future depressive symptoms (β2013-2015 = .893, p < .001; β2015-2018 = .946, p < .001), and the same rule applied to leisure activities (β2013-2015 = .402, p < .001; β2015-2018 = .404, p < .001). Second, current depressive symptoms negatively predicted future leisure activities (β2013-2015 = –.071, p < .001; β2015-2018 = –.085, p < .001), but the inverse relationship was not statistically significant (β2013-2015 = –.003, p > .05; β2015-2018 = –.003, p > .05).

Conclusion

These findings underscore the importance of interventions targeting depressive symptoms to potentially enhance engagement in leisure activities among older adults. The results contribute to the understanding of the complex dynamics between mental health and lifestyle choices in older populations, highlighting the potential of proactive mental health interventions to improve overall well-being.
Appendix
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Literature
1.
2.
Zhang L, Li JL, Guo LL, et al. Weight changes and the incidence of depressive symptom in the middle-aged and older adults: findings from the Chinese nationwide cohort study. BMC Public Health. 2022;22:2282.PubMedPubMedCentralCrossRef
3.
4.
Mirkena Y, Reta MM, Haile K, Nassir Z, Sisay MM. Prevalence of depression and associated factors among older adults at Ambo town, Oromia region. Ethiopia BMC Psychiatry. 2018;18(1):1–7.
5.
Şen F, Meriç M. Determination of abuse and depression in the elderly. J Elder Abuse Negl. 2020;32(1):60–71.PubMedCrossRef
6.
Bone JK, Bu F, Fluharty ME, Paul E, Sonke JK, Fancourt D. Engagement in leisure activities and depression in older adults in the United States: Longitudinal evidence from the Health and Retirement Study. Soc Sci Med. 2022;294:114703.PubMedPubMedCentralCrossRef
7.
Dang L, Ananthasubramaniam A, Mezuk B. Spotlight on the Challenges of Depression following Retirement and Opportunities for Interventions. Clin Interv Aging. 2022;1037–1056.
8.
Köhler CA, Evangelou E, Stubbs B, Solmi M, Veronese N, Belbasis L, Carvalho AF. Mapping risk factors for depression across the lifespan: an umbrella review of evidence from meta-analyses and Mendelian randomization studies. J Psychiatr Res. 2018;103:189–207.PubMedCrossRef
9.
Ormel J, Cuijpers P, Jorm A, Schoevers RA. What is needed to eradicate the depression epidemic, and why. Ment Health Prev. 2020;17:200177.CrossRef
10.
Cho J. The longitudinal reciprocal relationship between food insecurity and depressive symptoms among Korean elderly who live in poverty: application of auto-regressive cross-lagged model. Asia Pac J Soc Work Dev. 2023;33(2):86–100.CrossRef
11.
Hong SI, Hasche L, Bowland S. Structural relationships between social activities and longitudinal trajectories of depression among older adults. Gerontologist. 2009;49(1):1–11.PubMedPubMedCentralCrossRef
12.
Janke MC, Nimrod G, Kleiber DA. Reduction in leisure activity and well-being during the transition to widowhood. J Women Aging. 2008;20(1–2):83–98.PubMedCrossRef
13.
Weybright EH, Caldwell LL, Weaver RH. Preventing leisure from being overlooked: intersecting leisure and prevention sciences. J Leis Res. 2019;50(5):394–412.CrossRef
14.
Henning G, Stenling A, Bielak AA, Bjälkebring P, Gow AJ, Kivi M, Lindwall M. Towards an active and happy retirement? Changes in leisure activity and depressive symptoms during the retirement transition. Aging Ment Health. 2021;25(4):621–31.PubMedCrossRef
15.
Blanco JA, Barnett LA. The effects of depression on leisure: varying relationships between enjoyment, sociability, participation, and desired outcomes in college students. Leis Sci. 2014;36(5):458–78.CrossRef
16.
Fancourt D, Aughterson H, Finn S, Walker E, Steptoe A. How leisure activities affect health: a narrative review and multi-level theoretical framework of mechanisms of action. Lancet Psychiatry. 2021;8(4):329–39.PubMedPubMedCentralCrossRef
17.
Wang TC. Causal analysis in social research. Sociol Res. 2006;4:132–56.ADS
18.
Wen Z. Causal inference and analysis in empirical studies. J Psychol Sci. 2017;40(1):200–8.
19.
Wang X, Guo J, Liu H, Zhao T, Li H, Wang T. Impact of social participation types on depression in the elderly in China: an analysis based on counterfactual causal inference. Front Public Health. 2022;10:792765.PubMedPubMedCentralCrossRef
20.
Atchley RC. Retirement and leisure participation: continuity or crisis? Gerontologist. 1971;11(1):13–7.PubMedCrossRef
21.
Croezen S, Avendano M, Burdorf A, Van Lenthe FJ. Social participation and depression in old age: a fixed-effects analysis in 10 European countries. Am J Epidemiol. 2015;182(2):168–76.PubMedPubMedCentralCrossRef
22.
Holtfreter K, Reisig MD, Turanovic JJ. Depression and infrequent participation in social activities among older adults: the moderating role of high-quality familial ties. Aging Ment Health. 2017;21(4):379–88.PubMedCrossRef
23.
Mansfield L, Daykin N, Kay T. Leisure and wellbeing. Leis Stud. 2020;39(1):1–10.CrossRef
24.
Coleman D, Iso-Ahola SE. Leisure and health: The role of social support and self-determination. J Leis Res. 1993;25(2):111–28.CrossRef
25.
Vacchiano M, Valente R. Did the screens win? An autoregressive model linking leisure, relatedness and mental health. Comput Human Behav. 2021;120:106755.CrossRef
26.
Kim J, Lee S, Chun S, Han A, Heo J. The effects of leisure-time physical activity for optimism, life satisfaction, psychological well-being, and positive affect among older adults with loneliness. Ann Leis Res. 2017;20(4):406–15.CrossRef
27.
Kim J, Yamada N, Heo J, Han A. Health benefits of serious involvement in leisure activities among older Korean adults. Int J Qual Stud Health Well-being. 2014;9(1):24616.PubMedCrossRef
28.
Netz Y, Wu MJ, Becker BJ, Tenenbaum G. Physical activity and psychological well-being in advanced age: A meta-analysis of intervention studies. Psychol Aging. 2005;20(2):272–84.PubMedCrossRef
29.
Sharifian N, Sol K, Zaheed AB, Morris EP, Palms JD, Martino AG, Zahodne LB. Depressive symptoms, leisure activity engagement, and global cognition in non-hispanic black and white older adults. J Gerontol Ser B. 2022;77(11):2137–47.CrossRef
30.
Mikkelsen SS, Tolstrup JS, Flachs EM, Mortensen EL, Schnohr P, Flensborg-Madsen T. A cohort study of leisure time physical activity and depression. Prev Med. 2010;51(6):471–5.PubMedCrossRef
31.
Nagata S, Kono S. Depression and leisure-based meaning-making: anhedonia as a mediating factor. Leis Stud. 2022;41(2):214–30.CrossRef
32.
Beck AT. Cognitive therapy: Nature and relation to behavior therapy. Behav Ther. 1970;1(2):184–200.CrossRef
33.
Nimrod G, Kleiber DA, Berdychevsky L. Leisure in coping with depression. J Leis Res. 2012;44(4):419–49.CrossRef
34.
Sharifian N, Gu Y, Manly JJ, Schupf N, Mayeux R, Brickman AM, Zahodne LB. Linking depressive symptoms and cognitive functioning: the mediating role of leisure activity. Neuropsychology. 2020;34(1):107–15.PubMedCrossRef
35.
Lindwall M, Larsman P, Hagger MS. The reciprocal relationship between physical activity and depression in older European adults: a prospective cross-lagged panel design using SHARE data. Health Psychol. 2011;30(4):453–62.PubMedCrossRef
36.
Ding N, Berry HL, O’Brien LV. One-year reciprocal relationship between community participation and mental wellbeing in Australia: a panel analysis. Soc Sci Med. 2015;128:246–54.PubMedCrossRef
37.
Son J, Sung P. Does a reciprocal relationship exist between social engagement and depression in later life? Aging Ment Health. 2023;27(1):70–80.PubMedCrossRef
38.
Cooper-Patrick L, Ford DE, Mead LA, Chang PP, Klag MJ. Exercise and depression in midlife: a prospective study. Am J Public Health. 1997;87(4):670–3.PubMedPubMedCentralCrossRef
39.
Mammen G, Faulkner G. Physical activity and the prevention of depression: a systematic review of prospective studies. Am J Prev Med. 2013;45(5):649–57.PubMedCrossRef
40.
Shan, Y., Zhao, W., Hao, W., Kimura, T., Ukawa, S., Ohira, H., ... & Tamakoshi, A. Changes in social activities and the occurrence and persistence of depressive symptoms: do type and combination of social activities make a difference?. Archives of Gerontology and Geriatrics. 2022; 104: 1–8.
41.
Guo Q, Bai X, Feng N. Social participation and depressive symptoms among Chinese older adults: a study on rural–urban differences. J Affect Disord. 2018;239:124–30.PubMedCrossRef
42.
Huang D, Yang LH, Pescosolido BA. Understanding the public’s profile of mental health literacy in China: a nationwide study. BMC Psychiatry. 2019;19(1):1–12.CrossRef
43.
Preacher KJ. Advances in mediation analysis: a survey and synthesis of new developments. Annu Rev Psychol. 2015;66:825–52.PubMedCrossRef
44.
Usami S, Murayama K, Hamaker EL. A unified framework of longitudinal models to examine reciprocal relations. Psychol Methods. 2019;24(5):637–57.PubMedCrossRef
45.
Liu Y, Du HY, Fang J, Wen ZL. Methodology study and model development for analyzing longitudinal data in China’s mainland. Adv Psychol Sci. 2022;30(8):1734–46.CrossRef
46.
Zhao Y, Strauss J, Chen X, Wang Y, Gong J, Meng Q, Wang G, Wang H. China Health and Retirement Longitudinal Study Wave 4 User’s Guide. National School of Development: Peking University; 2020.
47.
Andresen EM, Malmgren JA, Carter WB, Patrick DL. Screening for depression in well older adults: evaluation of a short form of the CES-D. Am J Prev Med. 1994;10(2):77–84.PubMedCrossRef
48.
Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas. 1977;1(3):385–401.CrossRef
49.
Mohebbi M, Nguyen V, McNeil JJ, Woods RL, Nelson MR, Shah RC, Berk M. Psychometric properties of a short form of the Center for Epidemiologic Studies Depression (CES-D-10) scale for screening depressive symptoms in healthy community dwelling older adults. Gen Hosp Psychiatry. 2018;51:118–25.PubMedCrossRef
50.
Park BS, Jeong SY, Bae S. Testing longitudinal measurement invariance of Andersen form CES-D-10. Ment Health Soc Work. 2020;48(4):67–90.CrossRef
51.
Joiner T, Coyne JC, editors. The interactional nature of depression: advances in interpersonal approaches. American Psychological Association; 1999.
52.
Hu Y, Min S, Guo R, Li B. The development trajectory of depressive symptoms in elderly Chinese based on group-based trajectory modeling. Mod Prev Med. 2022;49(4):695–9.
53.
Bollen KA, Curran PJ. Latent curve models: a structural equation perspective. Vol. 467. John Wiley & Sons; 2006.
54.
Selig JP, Little TD. Autoregressive and cross-lagged panel analysis for longitudinal data. In: Laursen B, Little TD, Card NA, editors. Handbook of developmental research methods. The Guilford Press; 2012. p. 265–78.
55.
Usami S. On the differences between general cross-lagged panel model and random-intercept cross-lagged panel model: interpretation of cross-lagged parameters and model choice. Struct Equ Modeling. 2021;28(3):331–44.MathSciNetCrossRef
56.
Cangur S, Ercan I. Comparison of model fit indices used in structural equation modeling under multivariate normality. J Mod Appl Stat Methods. 2015;14(1):152–67.CrossRef
57.
Cheung GW, Rensvold RB. Evaluating goodness-of-fit indexes for testing measurement invariance. Struct Equ Modeling. 2002;9:233–55.MathSciNetCrossRef
58.
Phillips MR, Zhang J, Shi Q, Song Z, Ding Z, Pang S, Wang Z. Prevalence, treatment, and associated disability of mental disorders in four provinces in China during 2001–05: an epidemiological survey. Lancet. 2009;373(9680):2041–53.PubMedCrossRef
59.
Liang D, Mays VM, Hwang WC. Integrated mental health services in China: challenges and planning for the future. Health Policy Plan. 2018;33(1):107–22.PubMedCrossRef
60.
Frey HC, Patil SR. Identification and review of sensitivity analysis methods. Risk Anal. 2002;22(3):553–78.PubMedCrossRef
61.
Iooss B, Lemaître P. A review on global sensitivity analysis methods. In: Uncertainty Management in Simulation-Optimization of Complex Systems: Algorithms and Applications; 2015:101–122.
62.
Breslin FC, Gnam W, Franche RL, Mustard C, Lin E. Depression and activity limitations: examining gender differences in the general population. Soc Psychiatry Psychiatr Epidemiol. 2006;41(8):648–55.PubMedCrossRef
63.
Gudmundsson P, Lindwall M, Gustafson DR, Östling S, Hällström T, Waern M, Skoog I. Longitudinal associations between physical activity and depression scores in Swedish women followed 32 years. Acta Psychiatr Scand. 2015;132(6):451–8.PubMedPubMedCentralCrossRef
64.
Leontiev AN. Activity, Consciousness, and Personality. Prentice-Hall; 1978.
65.
Kuykendall L, Tay L, Ng V. Leisure engagement and subjective well-being: A meta-analysis. Psychol Bull. 2015;141(2):364–403.PubMedCrossRef
66.
Kim J, Lee J, Ko MJ, Min OhS. Leisure, mental health, and life satisfaction among older adults with mild cognitive impairment. Am J Health Behav. 2022;46(4):477–87.PubMedCrossRef
67.
Carstensen LL. Social and emotional patterns in adulthood: Support for socioemotional selectivity theory. Psychol Aging. 1992;7(3):331–8.PubMedCrossRef
68.
Di Bona L. What are the benefits of leisure? An exploration using the Leisure Satisfaction Scale. Br J Occup Ther. 2000;63(2):50–8.CrossRef
69.
Takiguchi Y, Matsui M, Kikutani M, Ebina K. The relationship between leisure activities and mental health: The impact of resilience and COVID-19. Appl Psychol Health Well Being. 2023;15(1):133–51.PubMedCrossRef
70.
71.
Adams KB, Leibbrandt S, Moon H. A critical review of the literature on social and leisure activity and wellbeing in later life. Ageing Soc. 2011;31(4):683–712.CrossRef
72.
Jeong EH, Park JH. The relationship among leisure activities, depression, and quality of life in community-dwelling elderly Koreans. J Geriatr Med Gerontol. 2020;6:2333721420923449.
Metadata
Title
The longitudinal relationship between leisure activities and depressive symptoms among older Chinese adults: an autoregressive cross-lagged analysis approach
Author
Juanjuan Wang
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2024
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-024-18293-4

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