Socio-economic status, self-rated health and mental health: the mediation effect of social participation on early-late midlife and older adults

Israel Journal of Health Policy Research - 2020
Netta Achdut1, Orly Sarid1
1The Spitzer Department of Social Work, Ben-Gurion University of the Negev, 84105, Beer-Sheva, Israel

Tóm tắt

Abstract Background Socioeconomic status (SES) is a major determinant of diverse health outcomes, among these are self-rated-health and mental health. Yet the mechanisms underlying the SES—health relation are not fully explored. Socioeconomic inequalities in health and mental health may form along several pathways. One is social participation which is linked to better self-rated-health and mental health. We examined (1) whether various social participation practices, including the usage of information and communication technology, relate to a unidimensional or multidimensional phenomenon (2) the relationship among SES, social participation, self-rated-health and mental health; (3) whether social participation and mental health mediates the association between SES and self-rated-health; (4) whether social participation and self-rated-health mediates the links between SES and mental health. Method Cross-sectional data for individuals aged 35 and older were taken from the Israeli Social Survey for 2016 (N = 4848). Social participation practices included connection with family and friends, self-perceived-support, self-perceived trust, volunteering, civic and political involvement, and information and communication technology usage. An exploratory factor analysis was conducted for all social participation practices. We then constructed structural Equation Modeling (SEM) to explore paths of relations among SES, social participation, self-rated-health and mental health. Results We found disparities in self-rated health and mental health across SES. Social participation practice, ‘frequency of meeting with friends’, mediated the links between SES-self-rated health and SES-mental health. Formal social participation practices along with internet usage mediated the SES- self-rated health link. Informal social participation practices and self-perceived trust mediated the SES-mental health link. Mental health mediated the SES- self-rated health link and self-rated health mediated the SES-mental health link. Conclusion The links between SES and the two health constructs were enhanced by common and distinct social participation practices. Enhancement of social participation practices among low SES individuals is recommended. Social participation should be a prominent aspect of preventive medicine practice and health promotion interventions. Policy makers are called to support such programs as an important way to promote public health.

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Tài liệu tham khảo

Black D, Morris JN, Smith C, Townsend P. Inequalities in health: the Black report. London: Penguin Books; 1982.

McCartney G, Collins C, Mackenzie M. What (or who) causes health inequalities: theories, evidence and implications? Health Policy. 2013;113(2):221–227. https://doi.org/10.1016/j.healthpol.2013.05.021.

Macintyre S. The Black report and beyond what are the issues? Soc Sci Med. 1997;44(6):723–45. https://doi.org/10.1016/S0277-9536(96)00183-9.

Vilhjalmsdottir A, Gardarsdottir RB, Bernburg JG, Sigfusdottir ID. Neighborhood income inequality, social capital and emotional distress among adolescents: a population-based study. J Adolesc. 2016;51:92–102. https://doi.org/10.1016/j.adolescence.2016.06.004.

Levasseur M, Richard L, Gauvin L, Raymond É. Inventory and analysis of definitions of social participation found in the aging literature: proposed taxonomy of social activities. Soc Sci Med. 2010;71(12):2141–9.

Ferlander S, Mäkinen IH. Social capital, gender and self-rated health. Evidence from the Moscow health survey 2004. Soc Sci Med. 2009;69(9):1323–332. https://doi.org/10.1016/J.SOCSCIMED.2009.08.009.

Chen JH, Lauderdale DS, Waite LJ. Social participation and older adults’ sleep. Soc Sci Med. 2016;149:164–73. https://doi.org/10.1016/J.SOCSCIMED.2015.11.045.

Escobar-Bravo MÁ, Puga-González D, Martín-Baranera M. Protective effects of social networks on disability among older adults in Spain. Arch Gerontol Geriatr. 2012;54(1):109–116. https://doi.org/10.1016/J.ARCHGER.2011.01.008.

Gilmour H. Social participation and the health and well-being of Canadian seniors. Health Rep. 2012;23(4):3–12.

Vilhjalmsdottir A, Gardarsdottir RB, Bernburg JG, Sigfusdottir ID. Neighborhood income inequality, social capital and emotional distress among adolescents: a population-based study. J Adolesc. 2016;51:92–102.

Niedzwiedz CL, Richardson EA, Tunstall H, Shortt NK, Mitchell RJ, Pearce JR. The relationship between wealth and loneliness among older people across Europe: is social participation protective? Prev Med. 2016;91(3):24–31. https://doi.org/10.1016/J.YPMED.2016.07.016.

Ferreira-Alves J, Magalhães P, Viola L, Simoes R. Loneliness in middle and old age: demographics, perceived health, and social satisfaction as predictors. Arch Gerontol Geriatr. 2014;59(3);613–623. https://doi.org/10.1016/J.ARCHGER.2014.06.010.

Coleman JS. Social capital in the creation of human capital. Am J Sociol. 1988;94:S95–S120. https://doi.org/10.1086/228943.

Putnam R. Bowling alone: the collapse and revival of American community. New York: Simon & Schuster; 2000.

Berkman LF, Glass T, Brissette I, Seeman TE. From social integration to health: Durkheim in the new millennium. Soc Sci Med. 2000;51:843–457.

Desmond M. Disposable ties and the urban poor. Am J Sociol. 2012;117(5):1295–335. https://doi.org/10.1086/663574.

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(04):683–712. https://doi.org/10.1017/S0144686X10001091.

Vogelsang EM. Older adult social participation and its relationship with health: rural-urban differences. Health Place. 2016;42(4):111–19. https://doi.org/10.1016/J.HEALTHPLACE.2016.09.010.

OECD. How's life in the digital age?: opportunities and risks of the digital transformation for People's well-being. Paris OECD Publishing. 2019. p 13–12. Retrieved https://doi.org/10.1787/9789264311800-en.

Deetjen U, Powell JA. Internet use and health: connecting secondary data through spatial microsimulation. Digit Health. 2016;2:1–17. https://doi.org/10.1177/2055207616666588.

Rice RE. Influences, usage, and outcomes of internet health information searching: multivariate results from the pew surveys. Int J Med Inform. 2006;75(1):8–28. https://doi.org/10.1016/j.ijmedinf.2005.07.032.

Ziebland S, Wyke S. Health and illness in a connected world: how might sharing experiences on the internet affect people’s health? Milbank Q. 2012;90(2):219–49. https://doi.org/10.1111/j.1468-0009.2012.00662.x.

Meyer OL, Castro-Schilo L, Aguilar-Gaxiola S. Determinants of mental health and self-rated health: a model of socioeconomic status, neighborhood safety, and physical activity. Am J Public Health. 2014;104(9):1734–741 https://doi.org/10.2105/AJPH.2014.302003.

Domènech-Abella J, Mundó J, Leonardi M, Chatterji S, Tobiasz-Adamczyk B, Koskinen S, Haro JM. The association between socioeconomic status and depression among older adults in Finland, Poland and Spain: a comparative cross-sectional study of distinct measures and pathways. J Affect Disord. 2018;241:311–18. https://doi.org/10.1016/j.jad.2018.08.077.

Hu Y, van Lenthe FJ, Borsboom GJ, Looman CWN, Bopp M, Burström B, Mackenbach JP. Trends in socioeconomic inequalities in self-assessed health in 17 European countries between 1990 and 2010. J Epidemiol Community Health. 2016;70(7):644–652. https://doi.org/10.1136/jech-2015-206780.

Reiss F. Socioeconomic inequalities and mental health problems in children and adolescents: a systematic review. Soc Sci Med. 2013;90:24–31. https://doi.org/10.1016/J.SOCSCIMED.2013.04.026.

Doubeni CA, Schootman M, Major JM, Stone RAT, Laiyemo AO, Park Y, Schatzkin A. Health status, neighborhood socioeconomic context, and premature mortality in the United States: the National Institutes of Health-AARP diet and health study. Am J Public Health. 2012;102(4):680–88. https://doi.org/10.2105/AJPH.2011.300158.

Baum CL, Ruhm CJ. Age, socioeconomic status and obesity growth. J Health Econ. 2009;28(3):635–48. https://doi.org/10.1016/J.JHEALECO.2009.01.004.

Everson SA, Maty SC, Lynch JW, Kaplan GA. Epidemiologic evidence for the relation between socioeconomic status and depression, obesity, and diabetes. J Psychosom Res. 2002;53(4):891–95. https://doi.org/10.1016/S0022-3999(02)00303-3.

Folland S. Does “community social capital” contribute to population health? Soc Sci Med. 2007;64(2):2342–354. https://doi.org/10.1016/j.socscimed.2007.03.003.

Valk I. Social capital as a solution to mental health problems: the effect of social capital on ‘depression’ and ‘loneliness’ via the effect of social cohesion and civic engagement. Utrecht University, Utrecht, The Netherlands: Unpublished master’s thesis; 2017.

Ichida Y, Hirai H, Kondo K, Kawachi I, Takeda T, Endo H. Does social participation improve self-rated health in the older population? A quasi-experimental intervention study. Soc Sci Med. 2013;94(2):83–90. https://doi.org/10.1016/J.SOCSCIMED.2013.05.006.

Verhaeghe PP, Pattyn E, Bracke P, Verhaeghe M, Van De Putte B. The association between network social capital and self-rated health: pouring old wine in new bottles? Health Place. 2012;18(2):358–65. https://doi.org/10.1016/J.HEALTHPLACE.2011.11.005.

Giordano GN, Björk J, Lindström M. Social capital and self-rated health: a study of temporal (causal) relationships. Soc Sci Med. 2012;75(2):340–48. https://doi.org/10.1016/J.SOCSCIMED.2012.03.011.

Windsor TD, Rioseco P, Fiori KL, Curtis RG, Booth H. Structural and functional social network attributes moderate the association of self-rated health with mental health in midlife and older adults. Int Psychogeriatr. 2016;28(01):49–61. https://doi.org/10.1017/S1041610215001143.

Lee H, Y, Jang SN, Lee S, Cho SI, Park EO. The relationship between social participation and self-rated health by sex and age: a cross-sectional survey. Int J Nurs Stud. 2008;45(7):1042–1054. https://doi.org/10.1016/J.IJNURSTU.2007.05.007.

Kross E, Verduyn P, Demiralp E, Park J, Lee DS, Lin N, et al. Facebook use predicts declines in subjective well-being in young adults. PLoS One. 2013;8(8):e69841. https://doi.org/10.1371/journal.pone.0069841.

Panova T, Lleras A. Avoidance or boredom: negative mental health outcomes associated with use of information and communication technologies depend on users’ motivations. Comput Hum Behav. 2016;58, 249–258. https://doi.org/10.1016/J.CHB.2015.12.062.

Thomée S, Härenstam A, Hagberg M. Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults - a prospective cohort study. BMC Public Health. 2011;11(1):66. https://doi.org/10.1186/1471-2458-11-66.

Nabi RL, Prestin A, So J. Facebook friends with (health) benefits? Exploring social network site use and perceptions of social support, stress, and well-being. Cyberpsychol Behav Soc Netw. 2013;16:721–7.

Gracia E, Herrero J. Internet use and self-rated health among older people: a national survey. J Med Internet Res. 2009;11(4):e49. https://doi.org/10.2196/jmir.1311.

Cotten SR, Ford G, Ford S, Hale TM. Internet use and depression among older adults. Comput Hum Behav. 2012;28(2):496–99. https://doi.org/10.1016/J.CHB.2011.10.021.

Huang C. Internet use and psychological well-being: a meta-analysis. Cyberpsychol Behav Soc Netw. 2010;13(3):241–49. https://doi.org/10.1089/cyber.2009.0217.

Sabatini F, Sarracino F. Online networks and subjective well-being. Kyklos. 2017;70(3):456–80.

Kunst AE, Bos V, Lahelma E, Bartley M, Lissau I, Regidor E, Mackenbach JP. Trends in socioeconomic inequalities in self-assessed health in 10 European countries. Int J Epidemiol. 2005;34(2):295–305. https://doi.org/10.1093/ije/dyh342.

Ahmad F, Jhajj AK, Stewart DE, Burghardt M, Bierman AS. Single item measures of self-rated mental health: a scoping review. BMC Health Serv Res. 2014;14(1):398. https://doi.org/10.1186/1472-6963-14-398.

Rözer JJ, Volker B. Does income inequality have lasting effects on health and trust? Soc Sci Med. 2016;149:37–45. https://doi.org/10.1016/J.SOCSCIMED.2015.11.047.

Alvarez E, Kawachi I, Romani JR. Family social capital and health – a systematic review and redirection. Sociol Health Illn. 2016;39(1):5–29. https://doi.org/10.1111/1467-9566.12506.

Liu B, Floud S, Pirie K, Green J, Peto R, Beral V. Does happiness itself directly affect mortality? The prospective UK million women study. Lancet. 2016;387(10021):874–881. https://doi.org/10.1016/S0140-6736(15)01087-9.

de Souto Barreto P, Rolland Y. Happiness and unhappiness have no direct effect on mortality. 2016. https://doi.org/10.1016/S0140-6736(15)01222-2.

Israel Central Bureau of Statistics (ICBS). Social survey: introduction and methodological appendix. Central Bureau of Statistics (Hebrew): Jerusalem; 2017.

Lina M. In: Blaise at statistics Netherlands, editor. Hague: Central Bureau of statistic- (Statistics Netherlands); 2003. Retrieved from http://www.blaiseusers.org/2003/papers/Blaise_at_Statistics_Netherlands.pdf.

Taber KS. The use of Cronbach’s alpha when developing and reporting research instruments in science education. Res Sci Educ. 2018;48(6):1273–296. https://doi.org/10.1007/s11165-016-9602-2.

United Nations Educational Scientific and Cultural Organization. International Standard Classification of Education ISCED 2011. Montreal: UNESCO Institute for statistics. 2012. Retrieved from http://uis.unesco.org/sites/default/files/documents/international-standard-classification-of-education-isced-2011-en.Pd.

Henson RK, Roberts JK. Use of exploratory factor analysis in published research: common errors and some comments on improved practice. Educ Psychol Meas. 2006;66(3):393–416. https://doi.org/10.1177/0013164405282485.

Hooper D, Coughlan J, Mullen MR. Structural equation modeling: guidelines for determining model fit. Electron J Bus Res Methods. 2008;6(1):53–60.

Iacobucci D. Structural equations modeling: fit indices, sample size, and advanced topics. J Consum Psychol. 2010;20(1):90–98. https://doi.org/10.1016/j.jcps.2009.09.003.

Hu LTL, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model Multidiscip J. 1999;6(1):1–55. https://doi.org/10.1080/10705519909540118.

Shrout PE, Bolger N. Mediation in experimental and nonexperimental studies: new procedures and recommendations. Psychol Methods. 2002;7(4):422–45. https://doi.org/10.1037/1082-989X.7.4.422.

Preacher KJ, Hayes AF. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behav Res Methods Instrum Comput. 2004;36(4):717–31. https://doi.org/10.3758/BF03206553.

Tofighi D, MacKinnon DP. RMediation: an R package for mediation analysis confidence intervals. Behav Res Methods. 2011;43(3):692–700. https://doi.org/10.3758/s13428-011-0076-x.

Bair MJ, Robinson RL, Katon W, Kroenke K. Depression and pain comorbidity: a literature review. Arch Intern Med. 2003;163(20):2433–445. https://doi.org/10.1001/archinte.163.20.2433.

Sarid O, Segal-Engelchin D, Cwikel J. The contribution of negative reproductive experiences and chronic medical conditions to depression and pain among Israeli women. Psychology, Health & Medicine. 2012;17(1):82–94. https://doi.org/10.1080/13548506.2011.579987.

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