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The impact of health and education on future labour force participation among individuals aged 55–74 in the United States of America: the MacArthur Foundation Research Network on an Aging Society

Published online by Cambridge University Press:  11 April 2016

DAVID H. REHKOPF ,
NANCY E. ADLER  and
JOHN W. ROWE
DAVID H. REHKOPF*
Affiliation:
Division of General Medical Disciplines, Stanford University School of Medicine, Stanford, California, USA.
NANCY E. ADLER
Affiliation:
Department of Psychiatry, University of California, San Francisco, USA.
JOHN W. ROWE
Affiliation:
Department of Health Policy and Management, Columbia University Mailman School of Public Health, New York, USA.
*
Address for correspondence: David H. Rehkopf, Division of General Medical Disciplines, Stanford University School of Medicine, 1265 Welch Road, MSOB, Room X328, Stanford, CA 94305, USA E-mail: [email protected]
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Abstract

Chronic disease, mobility limitations and low physical functioning are determinants of an earlier age of retirement. Therefore, long-term population trends in these factors may have an impact on the proportion of individuals near traditional retirement age who continue to work. Our objective is to develop a projection model that accounts for trends in these factors in order to estimate the proportion of the population aged 55–74 with the capacity to participate in the labour force. We used logistic regression models to quantify how chronic disease, mobility and functional status predict labour force participation among individuals aged 55–59. Next, we obtained estimates of the population prevalence of each of these predictors for the years 2010–2050. We then used estimated coefficients from the logistic regression models to predict the age-specific probability of capacity for work up to the age of 74. We find that population capacity for work depends on trends in disability and on level of education. Future population capacity for work depends on trends in functional limitations primarily in the population with lower levels of education. Changes in functional limitations, changes in the environment, technology and social policy targeted towards individuals with lower levels of education could result in mitigation of future decreasing capacity for work in the population near retirement age.

Keywords

worklabour forceageingsocio-economiceducationfunctional statuswork capacity
Type
Articles
Information
Ageing & Society , Volume 37 , Issue 7 , August 2017 , pp. 1313 - 1337
Copyright
Copyright © Cambridge University Press 2016 

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References

Alley, D. E. and Chang, V. W. 2007. The changing relationship of obesity and disability, 1988–2004. JAMA: The Journal of the American Medical Association, 298, 17, 2020–7.Google Scholar
Audureau, E., Rican, S. and Coste, J. 2013. Worsening trends and increasing disparities in health-related quality of life: evidence from two French population-based cross-sectional surveys, 1995–2003. Quality of Life Research, 22, 1, 13–26.Google Scholar
Barrick, M. R. and Mount, M. K. 1991. The Big Five personality dimensions and job performance: a meta-analysis. Personnel Psychology, 44, 1, 1–26.Google Scholar
Bermingham, J. R. 2001. Immigration: not a solution to problems of population decline and aging. Population and Environment, 22, 4, 355–63.Google Scholar
Beswick, A. D., Rees, K., Dieppe, P., Ayis, S., Gooberman-Hill, R., Horwood, J. and Ebrahim, S. 2008. Complex interventions to improve physical function and maintain independent living in elderly people: a systematic review and meta-analysis. The Lancet, 371, 9614, 725–35.Google Scholar
Borghans, L., Duckworth, A. L., Heckman, J. J. and Ter Weel, B. 2008. The economics and psychology of personality traits. Journal of Human Resources, 43, 4, 972–1059.Google Scholar
Borjas, G. J. and Katz, L. F. 2007. The evolution of the Mexican-born workforce in the United States. In Borjas, G. J. (ed.), Mexican Immigration to the United States. The University of Chicago Press, Chicago, 13–56.Google Scholar
Bureau of Labor Statistics 2012. Labor Force Statistics from the Current Population Survey. Bureau of Labor Statistics, Washington DC.Google Scholar
Chandler, J. M., Duncan, P. W., Kochersberger, G. and Studenski, S. 1998. Is lower extremity strength gain associated with improvement in physical performance and disability in frail, community-dwelling elders? Archives of Physical Medicine and Rehabilitation, 79, 1, 24–30.Google Scholar
Cheeseman Day, J. and Bauman, K. J. 2000. Have We Reached the Top? Educational Attainment Projections of the U.S. Population. Population Division, US Census Bureau, Washington DC.Google Scholar
Crimmins, E. M. and Beltran-Sanchez, H. 2011. Mortality and morbidity trends: is there compression of morbidity? Journals of Gerontology: Psychological Sciences and Social Sciences, 66B, 1, 75–86.Google Scholar
Crimmins, E. M., Hayward, M. D. and Saito, Y. 1994. Changing mortality and morbidity rates and the health status and life expectancy of the older population. Demography, 31, 1, 159–75.Google Scholar
Cutler, D. M. 2009. Estimating work capacity in near elderly and elderly men. NBER Working Paper, SSA Project, NB09-18, National Bureau of Economic Research, Cambridge, Massachusetts.Google Scholar
Cutler, D. M., Meara, E. R. and Richards-Shubik, S. 2011. Healthy life Expectancy: estimates and implications for retirement age policy. NBER Working Paper 10–11, National Bureau of Economic Research, Cambridge, Massachusetts.Google Scholar
Cutler, D. M., Meara, E. and Richards-Shubik, S. 2013. Health and work capacity of older adults: estimates and implications for social security policy. Available online at the Social Science Research Network, ID 2577858. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2577858. Access date: June 4, 2015.Google Scholar
Duberstein, P. R., Sörensen, S., Lyness, J. M., King, D. A., Conwell, Y., Seidlitz, L. and Caine, E. D. 2003. Personality is associated with perceived health and functional status in older primary care patients. Psychology and Aging, 18, 1, 25.Google Scholar
Durazo-Arvizu, R. A., McGee, D. L., Cooper, R. S., Liao, Y. and Luke, A. 1998. Mortality and optimal body mass index in a sample of the US population. American Journal of Epidemiology, 147, 8, 739–49.Google Scholar
Durazo-Arvizu, R., McGee, D., Li, Z. and Cooper, R. 1997. Establishing the nadir of the body mass index-mortality relationship: a case study. Journal of the American Statistical Association, 92, 440, 1312–9.Google Scholar
Espelt, A., Font-Ribera, L., Rodriguez-Sanz, M., Artazcoz, L., Ferrando, J., Plaza, A. and Borrell, C. 2010. Disability among older people in a southern European city in 2006: trends in gender and socioeconomic inequalities. Journal of Women's Health, 19, 5, 927–33.Google Scholar
Esping-Andersen, G. 1990. The Three Worlds of Welfare Capitalism. Princeton University Press, Princeton, New Jersey.Google Scholar
Flegal, K., Carroll, M. D., Ogden, C. L. and Curtin, L. R. 2010. Prevalence and trends in obesity among US adults, 1999–2008. JAMA: The Journal of the American Medical Association, 303, 3, 235–41.Google Scholar
Franche, R.-L., Cullen, K., Clarke, J., Irvin, E., Sinclair, S. and Frank, J. 2005. Workplace-based return-to-work interventions: a systematic review of the quantitative literature. Journal of Occupational Rehabilitation, 15, 4, 607–31.Google Scholar
Freedman, V. A. and Martin, L. G. 1999. The role of education in explaining and forecasting trends in functional limitations among older Americans. Demography, 36, 4, 461–73.Google Scholar
Freedman, V. A., Martin, L. G. and Schoeni, R. F. 2002. Recent trends in disability and functioning among older adults in the United States: a systematic review. JAMA: The Journal of the American Medical Association, 288, 24, 3137–46.Google Scholar
Freedman, V. A., Spillman, B. C., Andreski, P. M., Cornman, J. C., Crimmins, E. M., Kramarow, E., Lubitz, J., Martin, L. G., Merkin, S. S., Schoeni, R. F., Seeman, T. E. and Waidmann, T. A. 2013. Trends in late-life activity limitations in the United States: an update from five national surveys. Demography, 50, 2, 661–71.Google Scholar
Gitlin, L. N., Winter, L., Dennis, M. P., Corcoran, M., Schinfeld, S. and Hauck, W. W. 2006. A randomized trial of a multicomponent home intervention to reduce functional difficulties in older adults. Journal of the American Geriatrics Society, 54, 5, 809–16.Google Scholar
Gravseth, H. M., Bjerkedal, T., Irgens, L. M., Aalen, O. O., Selmer, R. and Kristensen, P. 2007. Life course determinants for early disability pension: a follow-up of Norwegian men and women born 1967–1976. European Journal of Epidemiology, 22, 8, 533–43.CrossRefGoogle ScholarPubMed
Harper, S. and Marcus, S. 2006. Age-related capacity decline: a review of some workplace implications. Ageing Horizons, 5, 20–30.Google Scholar
Herzog, A. R., House, J. S. and Morgan, J. N. 1991. Relation of work and retirement to health and well-being in older age. Psychology and Aging, 6, 2, 202–11.Google Scholar
Ilmarinen, J. E. 2001. Aging workers. Occupational and Environmental Medicine, 58, 8, 546–52.Google Scholar
Jack, L. M., Reed, T. and Guralnik, J. M. 2000. The contribution of genetic influences to measures of lower-extremity function in older male twins. Journal of Gerontology, 55, 1, B49–53.Google Scholar
Jousten, A. and Lefebvre, M. 2015. Work capacity and longer working lives in Belgium. IZA Discussion Paper Series 9032, Institute for the Study of Labor, Bonn, Germany.Google Scholar
Juster, F. T. and Suzman, R. 1995. An overview of the health and retirement study. Journal of Human Resources, 30, S7–56.Google Scholar
Kalwij, A. and Vermeulen, F. 2008. Health and labour force participation of older people in Europe: what do objective health indicators add to the analysis? Health Economics, 17, 5, 619–38.Google Scholar
Kenny, G. P., Yardley, J. E., Martineau, L. and Jay, O. 2008. Physical work capacity in older adults: implications for the aging worker. American Journal of Industrial Medicine, 51, 8, 610–25.Google Scholar
Kidd, M. P., Sloane, P. J. and Ferko, I. 2000. Disability and the labour market: an analysis of British males. Journal of Health Economics, 19, 6, 961–81.Google Scholar
Lee, R. 2004. Quantifying our ignorance: stochastic forecasts of population and public budgets. Population and Development Review, 30, supplement, 153–75.Google Scholar
Leidy, N. K. 1994. Functional status and the forward progress of merry-go-rounds: toward a coherent analytical framework. Nursing Research, 43, 4, 196–202.Google Scholar
Manton, K. G., Corder, L. S. and Stallard, E. 1993. Estimates of change in chronic disability and institutional incidence and prevalence rates in the U.S. elderly population from the 1982, 1984, and 1989 National Long Term Care Survey. Journal of Gerontology, 48, 4, S153–66.Google Scholar
Manton, K. G., Gu, X. and Lowrimore, G. R. 2008. Cohort changes in active life expectancy in the U.S. elderly population: experience from the 1982–2004 National Long-Term Care Survey. Journals of Gerontology: Psychological Sciences and Social Sciences, 63B, 5, S269–81.Google Scholar
Martin, L. G., Schoeni, R. F. and Andreski, P. M. 2010. Trends in health of older adults in the United States: past, present, future. Demography, 47, S17–40.Google Scholar
Miller, J. D., Campbell, W. K. and Pilkonis, P. A. 2007. Narcissistic personality disorder: relations with distress and functional impairment. Comprehensive Psychiatry, 48, 2, 170–7.Google Scholar
Milligan, K. and Wise, D. A. 2015. Health and work at older ages: using mortality to assess the capacity to work across countries. Journal of Population Ageing, 8, 1/2, 27–50.Google Scholar
Palacios-Ceña, D., Jiménez-García, R., Hernández-Barrera, V., Alonso-Blanco, C., Carrasco-Garrido, P. and Fernández-de-las-Peñas, C. 2012. Has the prevalence of disability increased over the past decade (2000–2007) in elderly people? A Spanish population-based survey. Journal of the American Medical Directors Association, 13, 2, 136–42.Google Scholar
Picchio, M. and Van Ours, J. C. 2013. Retaining through training even for older workers. Economics of Education Review, 32, 1, 29–48.Google Scholar
RAND 2011. HRS Data, Version L. Produced by the RAND Center for the Study of Aging, with funding from the National Institute on Aging and the Social Security Administration, Santa Monica, California.Google Scholar
Rothman, K., Greenland, S. and Lash, T. 2008. Modern Epidemiology. Lippincott Williams & Wilkins, Philadelphia.Google Scholar
Snyder, S. E. and Evans, W. N. 2006. The effect of income on mortality: evidence from the Social Security Notch. The Review of Economics and Statistics, 88, 3, 482–95.Google Scholar
Tikkanen, T., Lahn, L. C., Withnall, A., Ward, P. and Lyng, K. 2002. Working life changes and training of older workers. Research report, ERIC. VOX, Nedre Bakklandet 60, N-7014 Trondheim, Norway.Google Scholar
van Gool, C. H., Picavet, H. S. J., Deeg, D. J., de Klerk, M. M., Nusselder, W. J., van Boxtel, M. P., Wong, A. and Hoeymans, N. 2011. Trends in activity limitations: the Dutch older population between 1990 and 2007. International Journal of Epidemiology, 40, 4, 1056–67.Google Scholar
Verbrugge, L. M. and Jette, A. M. 1994. The disablement process. Social Science and Medicine, 38, 1, 1–14.Google Scholar
Werngren-Elgström, M., Carlsson, G. and Iwarsson, S. 2008. Changes in person–environmental fit and ADL dependence among older Swedish adults. A 10-year follow-up. Aging Clinical and Experimental Research, 20, 5, 469–78.Google Scholar
World Health Organization 2002. Towards a common language for functioning, disability and health.: ICF. Available at: http://www.who.int/classifications/icf/icfbeginnersguide.pdf. accessed Feb 29, 2016.Google Scholar
Zunzunegui, M. V., Nunez, O., Durban, M., de Yébenes, M.-J. G. and Otero, Á. 2006. Decreasing prevalence of disability in activities of daily living, functional limitations and poor self-rated health: a 6-year follow-up study in Spain. Aging Clinical and Experimental Research, 18, 5, 352–8.Google Scholar