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Living arrangements of older persons in 1987–2035 in Finland: trends by age, sex and educational attainment

Published online by Cambridge University Press:  19 September 2017

PEKKA MARTIKAINEN*
Affiliation:
Population Research Unit, Department of Social Research, University of Helsinki, Finland. Centre for Health Equity Studies (CHESS), Stockholm University and Karolinska Institutet, Sweden. The Max Planck Institute for Demographic Research, Rostock, Germany.
MIKE MURPHY
Affiliation:
Department of Social Policy, London School of Economics, UK.
HETA MOUSTGAARD
Affiliation:
Population Research Unit, Department of Social Research, University of Helsinki, Finland.
JANNE MIKKONEN
Affiliation:
Population Research Unit, Department of Social Research, University of Helsinki, Finland.
*
Address for correspondence: Pekka Martikainen, Population Research Unit, Department of Social Research, P.O. Box 18, FIN-00014 University of Helsinki, Finland E-mail: pekka.martikainen@helsinki.fi

Abstract

Changes in household structure may have a major impact on the future wellbeing of older people. We evaluate changes in living arrangements of 65+ Finnish men and women from 1987 to 2011 and project living arrangements to 2035 by education level. We use an 11 per cent longitudinal sample of Finns drawn from the population registration data. We estimate proportions in various living arrangements and multi-state life table estimates of years lived in particular states. Projections are based on dynamic transition probability forecasts with constant and changing rates. We show that women more than men tend to live alone at older ages. These proportions are likely to start to decline slowly among women, particularly at 80+, but increase or stabilise among men. Apart from living with a marital or co-habiting partner, other living arrangements are growing increasingly rare. The number of basic educated older people is declining rapidly. Educational differences in living arrangements are modest among women, but among men living with a partner is more common among the higher educated. Future living arrangements of older people are strongly determined by past partnership behaviour and future changes in mortality. If life expectancy differences between men and women continue to converge, so will sex differences in the remaining years of life spent living with a partner.

Type
Article
Copyright
Copyright © Cambridge University Press 2017 

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References

Alho, J. and Keilman, N. 2010. On future household structure. Journal of the Royal Statistical Society: Series A (Statistics in Society), 173, 1, 117–43.Google Scholar
Aromaa, A. and Koskinen, S. (eds) 2004. Health and Functional Capacity in Finland. Baseline Results of the 2000 Health Examination Survey. National Public Health Institute, Helsinki.Google Scholar
Australian Bureau of Statistics 2015. Household and Family Projections, Australia, 2011 to 2036. Available online at http://www.abs.gov.au/ausstats/abs@.nsf/mf/3236.0 [Accessed 21 February 2017].Google Scholar
Christiansen, S. and Keilman, N. 2013. Probabilistic household forecasts based on register data – the case of Denmark and Finland. Demographic Research, 28, 43, 1263–302.Google Scholar
Department for Communities and Local Government 2016. National Statistics on the Projected Number of Households in England and its Local Authority Districts to 2039. Available online at https://www.gov.uk/government/statistics/2014-based-household-projections-in-england-2014-to-2039 [Accessed 16 February 2017].Google Scholar
Dobriansky, P. J., Suzman, R .M. and Hodes, R. J. 2007. Why Population Aging Matters: A Global Perspective. National Institute on Aging, National Institutes of Health, Bethesda, Maryland.Google Scholar
Eurostat 2014. Main Scenario – Life Expectancy by Age and Sex [proj_13nalexp]. Available online at http://ec.europa.eu/eurostat/data/database?node_code=proj [Accessed 16 February 2017].Google Scholar
Hastie, T. and Tibsharani, R. 1990. Generalised Additive Models. Chapman and Hall, London.Google Scholar
Janssen, F. and van Poppel, F. 2015. The adoption of smoking and its effect on the mortality gender gap in Netherlands: a historical perspective. BioMed Research International, 112. Available online at https://www.hindawi.com/journals/bmri/2015/370274/cta/Google Scholar
Kalogirou, S. and Murphy, M. 2006. Marital status of people aged 75 and over in nine EU countries in the period 2000–2030. European Journal of Ageing, 3, 2, 7481.Google Scholar
Keilman, N. and Christiansen, S. 2010. Norwegian elderly less likely to live alone in the future. European Journal of Population, 26, 1, 4772.Google Scholar
Lafreniere, S. A., Carriere, Y., Martel, L. and Belanger, A. 2003. Dependent seniors at home – formal and informal help. Health Reports, 14, 4, 3140.Google Scholar
Mackenbach, J. P., Kulhánová, I., Artnik, B., Bopp, M., Borrell, C., Clemens, T., Costa, G., Dibben, C., Kalediene, R., Lundberg, O., Martikainen, P., Menvielle, G., Östergren, O., Prochorskas, R., Rodríguez-Sanz, M., Strand, B. H., Looman, C. W. and de Gelder, R. 2016. Changes in mortality inequalities over two decades: register based study of European countries. BMJ, 353, i1732, 18.Google Scholar
Martikainen, P., Ho, J. Y., Preston, S. and Elo, I. T. 2013. The changing contribution of smoking to educational differences in life expectancy: indirect estimates for Finnish men and women from 1971 to 2010. Journal of Epidemiology and Community Health, 67, 3, 219–24.Google Scholar
Martikainen, P., Martelin, T., Nihtilä, E., Majamaa, K. and Koskinen, S. 2005. Differences in mortality by marital status in Finland from 1976 to 2000: analyses of changes in marital-status distributions, socio-demographic and household composition, and cause of death. Population Studies, 59, 1, 99116.Google Scholar
Martikainen, P., Moustgaard, H., Murphy, M., Einiö, E. K., Koskinen, S., Martelin, T. and Noro, A. 2009. Gender, living arrangements, and social circumstances as determinants of entry into and exit from long-term institutional care at older ages: a 6-year follow-up study of older Finns. The Gerontologist, 49, 1, 3445.Google Scholar
Martikainen, P., Murphy, M., Moustgaard, H. and Mikkonen, J. 2016. Changes in the household structure of the Finnish elderly by age, sex and educational attainment in 1987–2035. KELA Working Paper 88, KELA, Helsinki.Google Scholar
Murphy, M., Bobak, M., Nicholson, A., Rose, R. and Marmot, M. 2006. The widening gap in mortality by educational level in Russia, 1980–2001. American Journal of Public Health, 9, 7, 1293–9.Google Scholar
National Institute for Health and Welfare 2016. Ageing and Functional Capacity. Institutional Care for Older People. National Institute for Health and Welfare, Helsinki. Available online at https://www.sotkanet.fi/sotkanet/en/index? [Accessed 1 February 2017].Google Scholar
National Institute of Population and Social Security Research 2013. Household Projections for Japan: 2010–2035, Outline of Results and Methods. Available online at http://www.ipss.go.jp/pp-ajsetai/e/hhprj2013/t-page_e.asp [Accessed 10 February 2017].Google Scholar
National Records of Scotland 2014. Household Projections for Scotland, 2012-based. Available online at http://www.nrscotland.gov.uk/statistics-and-data/statistics/statistics-by-theme/households/household-projections/household-projections-for-scotland-2012-based [Accessed 10 February 2017].Google Scholar
Official Statistics of Finland 2010. Families [e-publication]. Quality Description, Families 2010. Statistics Finland, Helsinki. Available online at http://www.stat.fi/til/perh/2010/perh_2010_2011-05-27_laa_001_en.html [Accessed 15 January 2017].Google Scholar
Official Statistics of Finland 2015. Population Projection [e-publication]. Appendix Figure 1. Demographic Dependency Ratio 18652065. Statistics Finland, Helsinki. Available online at http://www.stat.fi/til/vaenn/2015/vaenn_2015_2015-10-30_kuv_001_en.html [Accessed 15 January 2017].Google Scholar
Organisation for Economic Co-operation and Development 2011. The Future of Families to 2030. A Synthesis Report. International Futures Programme. OECD Publishing, Paris.Google Scholar
Pampel, F. 2005. Forecasting sex differences in mortality in high income nations: the contribution of smoking. Demographic Research, 13, 18, 455–84.Google Scholar
Pitkänen, K. and Jalovaara, M. 2007. Perheet ja perheenmuodostus [Families and family formation]. In Koskinen, S., Martelin, T., Notkola, I.-L., Notkola, V., Pitkänen, K., Jalovaara, M., Mäenpää, E., Ruokolainen, A., Ryynänen, M. and Söderling, I. (eds), Suomen väestö [The Population of Finland]. Gaudeamus, Helsinki, 115–68.Google Scholar
Preston, S. H., Heuveline, P. and Guillot, M. 2001. Demography: Measuring and Modeling Population Processes. Blackwell Publishers, Oxford.Google Scholar
Preston, S. H., Stokes, A., Mehta, N. K. and Cao, B. 2014. Projecting the effect of changes in smoking and obesity on future life expectancy in the United States. Demography, 51, 1, 2749.Google Scholar
Preston, S. H. and Wang, H. 2006. Sex mortality differences in the United States: the role of cohort smoking patterns. Demography, 43, 4, 631–46.Google Scholar
Schimek, M. G. 2009. Semiparametric penalized generalized additive models for environmental research and epidemiology. Environmetrics, 20, 7, 699717.Google Scholar
Van Imhoff, E. and Keilman, N. W. 1991. LIPRO 2.0: An Application of a Dynamic Demographic Projection Model to Household Structure in The Netherlands. NIDI CBGS Publication 23, Swets & Zeitlinger, Amsterdam.Google Scholar
Wolinsky, F. D., Callahan, C. M., Fitzgerald, J. F. and Johnson, R. J. 1992. The risk of nursing home placement and subsequent death among older adults. Journal of Gerontology, 47, 4, S17382.Google Scholar