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Psychological Resources as Mediators of the Association Between Social Class and Health: Comparative Findings from Japan and the USA

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Abstract

Background

Recently, researchers have proposed that psychological resources might be key concept in explaining the association between social class and health. However, empirical examinations of the extent to which psychological resources to social class in health are still few.

Purpose

This study investigated mediating effects of selected psychological resources (sense of control, self-esteem, optimism, and neuroticism) on the association of social class [education and subjective social status (SSS)] with current health status (self-rated health and the number of chronic conditions).

Method

This sample consisted of 1,805 Americans (818 males and 987 females) from the Midlife in the United States (MIDUS) survey, 2004–2006 and 1,027 Japanese (505 males and 522 females) from the Midlife in Japan (MIDJA) survey in Tokyo, Japan, 2008–2010. Information on social class, psychological resources, and health status was obtained using telephone interviews or written questionnaires.

Results

A mediation analysis was conducted separately for males and females in Japan and the USA. Neuroticism significantly mediated the association of education and SSS with self-rated health and chronic conditions among males and females in both countries, with one exception (not for chronic conditions among Japanese females). Sense of control significantly mediated the association of education and SSS with self-rated health among males and females in both countries. As hypothesized, self-esteem significantly mediated almost all of the associations of education and SSS with self-rated health and chronic conditions among men and women in the USA, but very few such associations in Japan. Optimism significantly mediated most associations of social class and health status in both countries, but only among females.

Conclusions

Overall, the findings underscore important culture- and gender specificity in the ways in which psychosocial resources mediate the links between social class and health.

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References

  1. Adler NE, Rehkopf DH. U.S. disparities in health: descriptions, causes, and mechanisms. Annu Rev Public Health. 2008;29:235–52. doi:10.1146/annurev.publhealth.29.020907.090852.

    Article  PubMed  Google Scholar 

  2. Prus SG. Comparing social determinants of self-rated health across the United States and Canada. Soc Sci Med. 2011;73(1):50–9. doi:10.1016/j.socscimed.2011.04.010.

    Article  PubMed  Google Scholar 

  3. Lorant V, Deliege D, Eaton W, Robert A, Philippot P, Ansseau M. Socioeconomic inequalities in depression: a meta-analysis. Am J Epidemiol. 2003;157(2):98–112.

    Article  CAS  PubMed  Google Scholar 

  4. Kagamimori S, Gaina A, Nasermoaddeli A. Socioeconomic status and health in the Japanese population. Soc Sci Med. 2009;68(12):2152–60. doi:10.1016/j.socscimed.2009.03.030.

    Article  PubMed  Google Scholar 

  5. Cohen S, Alper CM, Doyle WJ, Adler N, Treanor JJ, Turner RB. Objective and subjective socioeconomic status and susceptibility to the common cold. Heal Psychol. 2008;27(2):268–74. doi:10.1037/0278-6133.27.2.268.

    Article  Google Scholar 

  6. Kopp M, Skrabski A, Rethelyi J, Kawachi I, Adler NE. Self-rated health, subjective social status, and middle-aged mortality in a changing society. Behav Med. 2004;30(2):65–70. doi:10.3200/bmed.30.2.65-72.

    Article  PubMed  Google Scholar 

  7. Singh-Manoux A, Marmot MG, Adler NE. Does subjective social status predict health and change in health status better than objective status? Psychosom Med. 2005;67(6):855–61. doi:10.1097/01.psy.0000188434.52941.a0.

    Article  PubMed  Google Scholar 

  8. Sakurai K, Kawakami N, Yamaoka K, Ishikawa H, Hashimoto H. The impact of subjective and objective social status on psychological distress among men and women in Japan. Soc Sci Med. 2010;70(11):1832–9. doi:10.1016/j.socscimed.2010.01.019.

    Article  PubMed  Google Scholar 

  9. Schnittker J. Psychological factors as mechanisms for socioeconomic disparities in health: a critical appraisal of four common factors. Soc Biol. 2004;51(1–2):1–23.

    PubMed  Google Scholar 

  10. Bosma H, Schrijvers C, Mackenbach JP. Socioeconomic inequalities in mortality and importance of perceived control: cohort study. Br Med J. 1999;319(7223):1469–70.

    Article  CAS  Google Scholar 

  11. Bosma H, Van Jaarsveld CH, Tuinstra J, et al. Low control beliefs, classical coronary risk factors, and socio-economic differences in heart disease in older persons. Soc Sci Med. 2005;60(4):737–45. doi:10.1016/j.socscimed.2004.06.018.

    Article  CAS  PubMed  Google Scholar 

  12. Gallo LC, de los Monteros KE, Ferent V, Urbina J, Talavera G. Education, psychosocial resources, and metabolic syndrome variables in Latinas. Ann Behav Med. 2007;34(1):14–25. doi:10.1080/08836610701495532.

    Article  PubMed  Google Scholar 

  13. Matthews KA, Raikkonen K, Gallo L, Kuller LH. Association between socioeconomic status and metabolic syndrome in women: testing the reserve capacity model. Heal Psychol. 2008;27(5):576–83. doi:10.1037/0278-6133.27.5.576.

    Article  Google Scholar 

  14. Gallo LC, Bogart LM, Vranceanu AM, Matthews KA. Socioeconomic status, resources, psychological experiences, and emotional responses: a test of the reserve capacity model. J Personal Soc Psychol. 2005;88(2):386–99.

    Article  Google Scholar 

  15. Gallo LC, Matthews KA. Understanding the association between socioeconomic status and physical health: do negative emotions play a role? Psychol Bull. 2003;129(1):10–51.

    Article  PubMed  Google Scholar 

  16. Matthews KA, Gallo LC, Taylor SE. Are psychosocial factors mediators of socioeconomic status and health connections? A progress report and blueprint for the future. Ann N Y Acad Sci. 2010;1186:146–73. doi:10.1111/j.1749-6632.2009.05332.x.

    Article  PubMed  Google Scholar 

  17. Rosenberg M. Society and the adolescent self-image. Princeton: Princeton University Press; 1965.

    Google Scholar 

  18. Lachman ME, Firth KMP. The adaptive value of feeling in control during midlife. In: Brim OG, Ryff CD, Kessler RC, editors. How healthy are we?: a national study of well-being at midlife. Chicago: University of Chicago Press; 2004. p. 320–49.

    Google Scholar 

  19. Tellegen A. Structures of mood and personality and their relevance to assessing anxiety, with an emphasis on self-report. In: Tuma AH, Maser JD, editors. Anxiety and the anxiety disorders. Hillsdale: Lawrence Erlbaum Associates, Inc; 1985. p. 681–706.

    Google Scholar 

  20. Scheier MF, Carver CS. Optimism, coping, and health: assessment and implications of generalized outcome expectancies. Heal Psychol. 1985;4(3):219–47.

    Article  CAS  Google Scholar 

  21. Finkelstein DM, Kubzansky LD, Capitman J, Goodman E. Socioeconomic differences in adolescent stress: the role of psychological resources. J Adolesc Heal. 2007;40(2):127–34. doi:10.1016/j.jadohealth.2006.10.006.

    Article  Google Scholar 

  22. Markus HR, Kitayama S. Culture and the self: implications for cognition, emotion, and motivation. Psychol Rev. 1991;98(2):224–53. doi:10.1037/0033-295x.98.2.224.

    Article  Google Scholar 

  23. Kitayama S, Markus HR, Matsumoto H, Norasakkunkit V. Individual and collective processes in the construction of the self: self-enhancement in the United States and self-criticism in Japan. J Personal Soc Psychol. 1997;72(6):1245–67.

    Article  CAS  Google Scholar 

  24. Diener E, Diener M. Cross-cultural correlates of life satisfaction and self-esteem. J Personal Soc Psychol. 1995;68(4):653–63.

    Article  CAS  Google Scholar 

  25. Kitayama S, Karasawa M, Curhan KB, Ryff CD, Markus HR. Independence and interdependence predict health and wellbeing: divergent patterns in the United States and Japan. Front Psychol. 2010;1:163. doi:10.3389/fpsyg.2010.00163.

    Article  PubMed Central  PubMed  Google Scholar 

  26. Adler NE, Epel ES, Castellazzo G, Ickovics JR. Relationship of subjective and objective social status with psychological and physiological functioning: preliminary data in healthy white women. Heal Psychol. 2000;19(6):586–92.

    Article  CAS  Google Scholar 

  27. Prenda KM, Lachman ME. Planning for the future: a life management strategy for increasing control and life satisfaction in adulthood. Psychol Aging. 2001;16(2):206–16. doi:10.1037/0882-7974.16.2.206.

    Article  CAS  PubMed  Google Scholar 

  28. Lachman ME, Weaver SL. The sense of control as a moderator of social class differences in health and well-being. J Personal Soc Psychol. 1998;74(3):763–73.

    Article  CAS  Google Scholar 

  29. Prenda KM, Lachman ME. Planning for the future: a life management strategy for increasing control and life satisfaction in adulthood. Psychol Aging. 2001;16(2):206–16.

    Article  CAS  PubMed  Google Scholar 

  30. Lachman ME, Weaver SL. The Midlife Development Inventory (MIDI) Personality Scales: scale construction and scoring. Technical Report No. 1. Waltham: Brandeis University; 1997. p. 23.

    Google Scholar 

  31. Scheier MF, Carver CS, Bridges MW. Distinguishing optimism from neuroticism (and trait anxiety, self-mastery, and self-esteem): a revaluation of the Life Orientation Test. J Personal Soc Psychol. 1994;67(6):1063–78. doi:10.1037/0022-3514.67.6.1063.

    Article  CAS  Google Scholar 

  32. 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.

    Article  PubMed  Google Scholar 

  33. Preacher KJ, Hayes AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Methods. 2008;40(3):879–91.

    Article  PubMed  Google Scholar 

  34. MacKinnon DP, Lockwood CM, Hoffman JM, West SG, Sheets V. A comparison of methods to test mediation and other intervening variable effects. Psychol Methods. 2002;7(1):83–104.

    Article  PubMed Central  PubMed  Google Scholar 

  35. Sumi K. Optimism, social support, stress, and physical and psychological well-being in Japanese women. Psychol Rep. 1997;81(1):299–306.

    Article  CAS  PubMed  Google Scholar 

  36. Bowling A. Gender-specific and gender-sensitive associations with psychological health and morbidity in older age. Baseline findings from a British population survey of ageing. Aging Mental Health. 2007;11(3):301–9. doi:10.1080/13607860600963752.

    Article  PubMed  Google Scholar 

  37. Gustavsson-Lilius M, Julkunen J, Hietanen P. Quality of life in cancer patients: the role of optimism, hopelessness, and partner support. Qual Life Res. 2007;16(1):75–87. doi:10.1007/s11136-006-9101-4.

    Article  PubMed  Google Scholar 

  38. Mosing MA, Zietsch BP, Shekar SN, Wright MJ, Martin NG. Genetic and environmental influences on optimism and its relationship to mental and self-rated health: a study of aging twins. Behav Genet. 2009;39(6):597–604. doi:10.1007/s10519-009-9287-7.

    Article  PubMed  Google Scholar 

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Acknowledgments

This research was supported by a grant from the National Institute on Aging (5R37AG027343) to conduct a study of Midlife in Japan (MIDJA) for comparative analysis with MIDUS (Midlife in the United States, P01-AG020166). The data analysis and preparation of the manuscript was supported by a Grant-in-Aid for Scientific Research (A) 2009-2013 (No. 20240062) from the Ministry of Education, Culture, Sports, Science and Technology, Japan.

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Correspondence to Chiemi Kan.

Appendices

Appendix 1.

Pearson’s partial correlation coefficients adjusted for age and marital status among social class, psychological resources, and health outcome variables by gender among respondents in Japan and the USA

Table 5 For education (482 men and 506 women in Japan and 800 men and 951 women in the USA)
Table 6 For subjective social status (469 men and 487 women in Japan and 794 men and 935 women in the USA)

Appendix 2

Table 7 Inter-item correlation coefficients for neuroticism adjusted for age and marital status by gender among respondents in Japan and the USA

Appendix 3

Table 8 Inter-item correlation coefficients for optimism adjusted for age and marital status by gender among respondents in Japan and the USA

Appendix 4

Table 9 Mediation effects of social class on health status through neuroticism which consisted of three items or each item of optimism among the USA

Appendix 5

Table 10 Mediation effects of social class on health status through neuroticism which consisted of three items or each item of optimism in Japan

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Kan, C., Kawakami, N., Karasawa, M. et al. Psychological Resources as Mediators of the Association Between Social Class and Health: Comparative Findings from Japan and the USA. Int.J. Behav. Med. 21, 53–65 (2014). https://doi.org/10.1007/s12529-012-9249-y

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