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Biopsychosocial predictors of perceived life expectancy in a national sample of older men and women

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  • Lindsay C Kobayashi
  • Rebecca J Beeken
  • Susanne F Meisel

Abstract

Perceived life expectancy (PLE) is predictive of mortality risk in older adults, but the factors that may contribute to mental conceptions of PLE are unknown. We aimed to describe the sociodemographic, biomedical, behavioral, and psychological predictors of self-reported PLE estimates among older English adults. Data were from 6662 adults aged 50–79 years in the population-based English Longitudinal Study of Ageing (cross-sectional sample from 2012/13). PLE was assessed in the face-to-face study interview (“What are the chances you will live to be age x or more?” where x = current age plus 10–15 years). Responses were categorized as ‘low’ (0–49%), ‘medium’ (50–74%), and ‘high’ (75–100%). Adjusted prevalence ratios (PRs) and 95% confidence intervals (CIs) for low vs. high PLE were estimated using population-weighted modified Poisson regression with robust error variance. Overall, 1208/6662 (18%) participants reported a low PLE, 2806/6662 (42%) reported a medium PLE, and 2648/6662 (40%) reported a high PLE. The predictors of reporting a low PLE included older age (PR = 1.64; 95% CI: 1.50–1.76 per 10 years), male sex (PR = 1.14; 95% CI: 1.02–1.26), being a smoker (PR = 1.39; 95% CI: 1.22–1.59 vs. never/former smoker), and having a diagnosis of cancer or diabetes. A low sense of control over life was associated with low PLE, as was low satisfaction with life and worse self-rated health. Those with a higher perceived social standing were less likely to report a low PLE (PR = 0.90; 95% CI: 0.87–0.93 per 10-point increase, out of 100). This study provides novel insight into potential influences on older adults’ expectations of their longevity, including aspects of psychological well-being. These results should be corroborated to better determine their implications for health-related decision-making, planning, and behavior among older adults.

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  • Lindsay C Kobayashi & Rebecca J Beeken & Susanne F Meisel, 2017. "Biopsychosocial predictors of perceived life expectancy in a national sample of older men and women," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-16, December.
    • Handle: RePEc:plo:pone00:0189245
    DOI: 10.1371/journal.pone.0189245
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    1. R. Wiggins & G. Netuveli & M. Hyde & P. Higgs & D. Blane, 2008. "The Evaluation of a Self-enumerated Scale of Quality of Life (CASP-19) in the Context of Research on Ageing: A Combination of Exploratory and Confirmatory Approaches," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 89(1), pages 61-77, October.
    2. Daniel S. Hamermesh, 1985. "Expectations, Life Expectancy, and Economic Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 100(2), pages 389-408.
    3. Michael D. Hurd & Kathleen McGarry, 2002. "The Predictive Validity of Subjective Probabilities of Survival," Economic Journal, Royal Economic Society, vol. 112(482), pages 966-985, October.
    4. Michael D. Hurd, 2009. "Subjective Probabilities in Household Surveys," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 543-564, May.
    5. Jochen P. Ziegelmann & Sonia Lippke & Ralf Schwarzer, 2006. "Subjective Residual Life Expectancy in Health Self-Regulation," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 61(4), pages 195-201.
    6. Demakakos, Panayotes & Nazroo, James & Breeze, Elizabeth & Marmot, Michael, 2008. "Socioeconomic status and health: The role of subjective social status," Social Science & Medicine, Elsevier, vol. 67(2), pages 330-340, July.
    7. Jean Adams & Elaine Stamp & Daniel Nettle & Eugene M G Milne & Carol Jagger, 2015. "Anticipated Survival and Health Behaviours in Older English Adults: Cross Sectional and Longitudinal Analysis of the English Longitudinal Study of Ageing," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-12, March.
    8. Manski, Charles F. & Molinari, Francesca, 2010. "Rounding Probabilistic Expectations in Surveys," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(2), pages 219-231.
    9. Griffin, Barbara & Loh, Vanessa & Hesketh, Beryl, 2013. "A mental model of factors associated with subjective life expectancy," Social Science & Medicine, Elsevier, vol. 82(C), pages 79-86.
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    2. Bell, D.N.F. & Comerford, D.A. & Douglas, E., 2020. "How do subjective life expectancies compare with mortality tables? Similarities and differences in three national samples," The Journal of the Economics of Ageing, Elsevier, vol. 16(C).
    3. Nia Murniati & Badra Al Aufa & Dian Kusuma & Sudijanto Kamso, 2022. "A Scoping Review on Biopsychosocial Predictors of Mental Health among Older Adults," IJERPH, MDPI, vol. 19(17), pages 1-13, September.
    4. Manish Kumar & Shobhit Srivastava & T. Muhammad & Priya Saravanakumar, 2022. "Examining the association between health status and subjective life expectancy among older Indian adults based on the mindsponge approach," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.

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