Volume 7, Issue 1 (June 2021)
Elderly Health Journal 2021, 7(1): 3-10 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Tung H, Yeh M, Ford R, Shah G. Personal Mastery and All-Cause Mortality among Older Americans Living with Diabetes. Elderly Health Journal 2021; 7 (1) :3-10
URL: http://ehj.ssu.ac.ir/article-1-220-en.html
URL: http://ehj.ssu.ac.ir/article-1-220-en.html
Department of Health Policy and Community Health, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia, United States of America , htung@georgiasouthern.edu
Abstract: (1141 Views)
Introduction: Higher personal mastery is associated with better physical functioning, wellbeing, and longevity among older populations. However, few studies have focused on whether personal mastery is protective against mortality among older adults living with diabetes over time.
Methods: A total of 1,779 participants were identified from an off-year survey of the Health and Retirement Study. Proportional Hazard Models were used to evaluate the significance of selected variables in predicting the survival of participants over a 13-year period.
Results: A substantial proportion (46.7%) of the diabetic patients had survived by the end of 2016. Adults with lower mastery scores were more likely to die (Hazard Ratio = .94, p < .001). Gender differences in the association patterns between personal mastery and survival were identified. Personal mastery had an independent health-protective effect on the survival of diabetes patients over the study period. With lower educational attainment, the foreign-born female diabetics scored higher in personal mastery measure when compared to their male counterparts. In the face of more severe diabetes comorbidity, foreign-born female diabetics also outlived their male counterparts over the study period.
Conclusion: As a crucial psychological resource and a modifiable factor, personal mastery holds a potential for improving the health status among lower SES groups of older adults. Further investigations into the identified gender difference could be applied to break the cycle of poor health among lower Socio-Economic Status groups of older adults.
Methods: A total of 1,779 participants were identified from an off-year survey of the Health and Retirement Study. Proportional Hazard Models were used to evaluate the significance of selected variables in predicting the survival of participants over a 13-year period.
Results: A substantial proportion (46.7%) of the diabetic patients had survived by the end of 2016. Adults with lower mastery scores were more likely to die (Hazard Ratio = .94, p < .001). Gender differences in the association patterns between personal mastery and survival were identified. Personal mastery had an independent health-protective effect on the survival of diabetes patients over the study period. With lower educational attainment, the foreign-born female diabetics scored higher in personal mastery measure when compared to their male counterparts. In the face of more severe diabetes comorbidity, foreign-born female diabetics also outlived their male counterparts over the study period.
Conclusion: As a crucial psychological resource and a modifiable factor, personal mastery holds a potential for improving the health status among lower SES groups of older adults. Further investigations into the identified gender difference could be applied to break the cycle of poor health among lower Socio-Economic Status groups of older adults.
Type of Study: Research |
Subject:
General
Received: 2021/02/14 | Accepted: 2021/04/7 | Published: 2021/06/27
Received: 2021/02/14 | Accepted: 2021/04/7 | Published: 2021/06/27
References
1. Laiteerapong N, Huang ES. Diabetes in older adults. in: diabetes in America [Internet]. 3rd Edition. National Institute of Diabetes and Digestive and Kidney Diseases; 2018. p. 16-1–26. Available from: https://www.niddk.nih.gov/about-niddk/strategic-plans-reports/diabetes-in-america-3rd-edition
2. Cho NH, Shaw JE, Karuranga S, Huang Y, da Rocha Fernandes JD, Ohlrogge AW, et al. IDF diabetes atlas: global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Research and Clinical Practice. 2018; 138: 271–81.
3. Johnson NB, Hayes LD, Brown K, Hoo EC, Ethier KA. CDC national health report: Leading causes of morbidity and mortality and associated behavioral risk and protective factors-United States, 2005-2013. Morbidity and Mortality Weekly Report. 2014; 63(4): 3-26.
4. Menke A, Casagrande S, Geiss L, Cowie CC. Prevalence of and trends in diabetes among adults in the United States, 1988-2012. The Journal of the American Medical Association. 2015; 314(10): 1021-9.
5. Caspersen CJ, Thomas GD, Boseman LA, Beckles GLA, Albright AL. Aging, diabetes, and the public health system in the United States. American Journal of Public Health. 2012; 102(8): 1482–97.
6. Rosenquist KJ, Fox CS. Mortality trends in Type 2 diabetes. In: Diabetes in America [Internet]. 3rd Edition. National Institute of Diabetes and Digestive and Kidney Diseases; 2018. p. 36 -1–14. Available from: https://www.niddk.nih.gov/about-niddk/strategic-plans-reports/diabetes-in-america-3rd-edition
7. Cheng YJ, Kanaya AM, Araneta MRG, Saydah SH, Kahn HS, Gregg EW, et al. Prevalence of diabetes by race and ethnicity in the United States, 2011-2016. The Journal of the American Medical Association. 2019; 322(24): 2389-98.
8. Engelman M, Leafia ZY. The immigrant health differential in the context of racial and ethnic disparities: the case of diabetes. Advances in Medical Sociology. 2019; 19: 147–71.
9. Miech RA, Kim J, McConnell C, Hamman RF. A growing disparity in diabetes-related mortality. American Journal of Preventive Medicine. 2009; 36(2): 126–32.
10. Saydah SH, Imperatore G, Beckles GL. Socioeconomic status and mortality: contribution of health care access and psychological distress among U.S. adults with diagnosed diabetes. Diabetes Care. 2013; 36(1): 49–55.
11. Goldman, Noreen. Will the Latino mortality advantage endure?. Research on Aging. 2016; 38(3): 263–82.
12. McDonald JA, Paulozzi LJ. Parsing the paradox: Hispanic mortality in the US by detailed cause of death. Journal of Immigrant and Minority Health. 2019; 21(2): 237–45.
13. Mehta NK, Elo IT, Engelman M, Lauderdale DS, Kestenbaum BM. Life expectancy among US-born and foreign-born older adults in the United States: estimates from linked social security and medicare data. Demography. 2016; 53(4): 1109–34.
14. Boen CE, Hummer RA. Longer—but harder—lives?: the Hispanic health paradox and the social determinants of racial, ethnic, and immigrant–native health disparities from midlife through late life. Journal of Health and Social Behavior. 2019; 60(4): 434–52.
15. Lariscy JT, Hummer RA, Hayward MD. Hispanic older adult mortality in the United States: new estimates and an assessment of factors shaping the Hispanic paradox. Demography. 2015; 52(1): 1–14.
16. Treas J, Gubernskaya Z. Immigration, aging, and the life course. In: Ferraro K, George L, Editors. Handbook of aging and social sciences. 8nd ed. Elsevier; 2016.
17. Pearlin LI. The life course and the stress process: some conceptual comparisons. The Journal of Gerontology Series B Psychological Sciences and Social Sciences. 2010; 65B(2): 207–15.
18. Thoits PA. Stress and health: major findings and policy implications. Journal of Health and Social Behavior. 2010; 51: S41–53.
19. Mitchell UA, Ailshire JA, Brown LL, Levine ME, Crimmins EM. Education and psychosocial functioning among older adults: 4-year change in sense of control and hopelessness. The Journal of Gerontology. Series B, Psychological Sciences and Social Sciences. 2018; 73(5): 849-59.
20. Pearlin LI, Lieberman M, Menaghan EG, Mullan JT. The stress process. Journal of Health and Social Behavior. 1981; 22(4): 337–56.
21. Szabó Á, Klokgieters SS, Kok AAL, Tilburg TGV, Huisman M. Psychological resilience in the context of disability: a study with Turkish and Moroccan young-old immigrants living in the Netherlands. The Gerontologist. 2020; 60(2): 259–69.
22. Savla J, Wang Z, Zhu J, Brossoie N, Roberto KA, Blieszner R. Mastery and longevity in spousal caregivers of persons with dementia. The Journal of Gerontology. Series B, Psychological Sciences and Social Sciences. 2020; 75(7): 1558-62.
23. Cooper R, Huisman M, Kuh D, Deeg DJH. Do positive psychological characteristics modify the associations of physical performance with functional decline and institutionalization? findings from the longitudinal aging study Amsterdam. The Journal of Gerontology. Series B, Psychological Sciences and Social Sciences. 2011; 66(4): 468–77.
24. Lachman ME, Firth KM. The adaptive value of feeling in control during midlife. In: How healthy are we? Chicago: University of Chicago Press; 2004. p. 320–49.
25. Surtees PG, Wainwright NWJ, Luben R, Khaw KT, Day NE. Mastery, sense of coherence, and mortality: evidence of independent associations from the epic-Norfolk prospective cohort study. Health Psychology: Official Journal of the Division of Health Psychology, American Psychological Association. 2006; 25(1): 102–10.
26. Infurna FJ, Ram N, Denis G. Level and change in perceived control predict 19-year mortality: findings from the Americans' changing lives study. Developmental Psychology. 2013; 49(10): 1833–47.
27. Roepke, SK, Grant I. Toward a more complete understanding of the effects of personal mastery on cardiometabolic health. Health Psychology. 2011; 30(5): 615–32.
28. Yi-Frazier JP, Smith RE, Vitaliano PP, Yi JC, Mai S, Hillman M, et al. A person-focused analysis of resilience resources and coping in diabetes patients. Stress Health. 2010; 26(1): 51–60.
29. Lachman ME, Neupert SD, Angrigoroaei S. The relevance of control beliefs for health and aging. In: Handbook of the psychology if aging. Amsterdam: Elsevier/Academic Press; 2011. p. 175–90.
30. Servais M. Overview of HRS public data files for cross-sectional and longitudinal analysis [Internet]. Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2010. Available from: https://hrs.isr.umich.edu/sites/default/files/biblio/OverviewofHRSPublicData.pdf
31. Kerr, EA, Smith, DM, Kaplan, SH, Hayward, RA. The association between three different measures of health status and satisfaction among patients with diabetes. Medical Care Research and Review. 2003; 60(2): 158–77.
32. Lin H-W, Tung H-J. Using changes in life satisfaction and health to predict the survival status among older men and women in Taiwan. Journal of Women & Aging. 2013; 25(3): 227–41.
33. Ross CE, Mirowsky J. Gender and the health benefits of education. Sociol Q. 2010; 51(1): 1–19.
34. Hummer RA, Hayward MD. Hispanic older adult health & longevity in the United States: current patterns & concerns for the future. Daedalus. 2015; 144(2): 20–30.
35. Mirowsky J, Ross CE. Education, social status, and health. 1th ed. New York: Routledge; 2003.
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
