Social Participation of the Elders in Europe: The Influence of Individual and Contextual Variables
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This study analyzes the social participation of older people based on individual and contextual variables. For this purpose the data of the Survey of Health, Ageing and Retirement in Europe (SHARE) in particular waves 1, 2 and 4 have been used. A four-level model with fixed and random effects was carried out. The model obtained shows the effect of individual variables: a greater participation in more recent waves, in ages between 60-70 years and the effect of variables such as cognitive functioning, years of education and health self-perception. But significant differences were also found in participation in contextual variables and between countries. These results are important for public policy managers, who must take into account not only individual variables, but also contextual variables, which explain the differences in the participation rate of the elderly.
KeywordsSocial participation Aging Longitudinal studies Older in Europe
This paper uses data from SHARE wave 4 release 1.1.1, as of March 28th 2013(DOI: 10.6103/SHARE.w4.111) and SHARE wave 1 and 2 release 2.6.0, as of November 29 2013 (DOI: 10.6103/SHARE.w1.260 and 10.6103/SHARE.w2.260). The SHARE data collection has been primarily funded by the European Commission through the 5th Framework Programme (project QLK6-CT-2001-00360 in the thematic programme Quality of Life), through the 6th Framework Programme (projects SHARE-I3, RII-CT-2006-062193, COMPARE, CIT5- CT-2005-028857, and SHARELIFE, CIT4-CT-2006-028812) and through the 7th Framework Programme (SHARE-PREP, N° 211909, SHARE-LEAP, N° 227822 and SHARE M4, N° 261982). Additional funding from the U.S. National Institute on Aging (U01 AG09740-13S2, P01 AG005842, P01 AG08291, P30 AG12815, R21 AG025169, Y1-AG-4553-01, IAG BSR06-11 and OGHA 04-064) and the German Ministry of Education and Research as well as from various national sources is gratefully acknowledged (see www.share-project.org for a full list of funding institutions).
Compliance with Ethical Standards
Conflict of Interest
The authors declare that they have no conflict of interest.
Informed consent was obtained from all individual participants included in the study.
Ethical Treatment of Experimental Subjects (Animal and Human)
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
- Bates, D., Maechler, M., Bolker, B. M., & Walker, S.. 2014. lme4: linear mixed-effects models using Eigen and S4. http://arxiv.org/abs/1406.5823.
- Becker, H. A., & Schroots, J. J. F. (Eds.). 2008. Releasing the potentials of senior scholars and scientists: Emerging productivity in a new ERA. ERGO.Google Scholar
- Börsch-Supan, A., & Jürges, H. (Eds.). (2005). The Survey of Health, Ageing and Retirement in Europe – Methodology. Mannheim: Mannheim Research Institute for the Economics of Aging (MEA).Google Scholar
- Börsch-Supan, A., Brandt, M., Hunkler, C., Kneip, T., Korbmacher, J., Malter, F., Schaan, B., Stuck, S., & Zuber, S. (2013). Data Resource Profile: The Survey of Health, Ageing and Retirement in Europe (SHARE). International Journal of Epidemiology. doi: 10.1093/ije/dyt088.
- Chen, G. & Gao, Y. (2013). Changes in social participation of older adults in Beijing. Ageing International, 38(1), 15-27.Google Scholar
- Crowe, M., Andel, R., Pedersen, N. L., Johansson, B., & Gatz, M. (2003). Does participation in leisure activities lead to reduced risk of Alzheimer's disease? A prospective study of Swedish twins. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 58(5), 249–255.CrossRefGoogle Scholar
- Cumming, E. Y. & Henry, W.E. (1961). Growing Old: The process of Disengagement. New York: Basic Books.Google Scholar
- Dewey, M. E., & Prince, M. J. (2005). Mental health. Health, ageing and retirement in Europe–First results from the Survey of Health, Ageing and Retirement in Europe (pp. 108–117). Mannheim: Mannheim Research Institute for the Economics of Aging.Google Scholar
- Fried, L. P., Carlson, M. C., Freedman, M., Frick, K. D., Glass, T. A., Hill, J., McGill, S., Rebok, G. W., Seeman, T., Tielsch, J., Wasik, B. A., & Zeger, S. (2004). A social model for health promotion for an aging population: initial evidence on the Experience Corps model. Journal of Urban Health, 81(1), 64–78.CrossRefGoogle Scholar
- Gelman, A., & Hill, J. (2007). Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge: Cambridge University Press.Google Scholar
- Kim, S., & Feldman, D. C. (2000). Working in retirement: The antecedents of bridge employment and its consequences for quality of life in retirement. Academy of Management Journal, 43(6), 1195–1210.Google Scholar
- Kleinbaum, D. (2013). Applied Regression Analysis and Other Multivariable Methods. Boston: Cengage Learning.Google Scholar
- Laaksonen, M., Talala, K., Martelin, T., Rahkonen, O., Roos, E., Helakorpi, S., Laatikainen, T., & Prättälä, R. (2008). Health behaviours as explanations for educational level differences in cardiovascular and all-cause mortality: a follow-up of 60 000 men and women over 23 years. The European Journal of Public Health, 18(1), 38–43.CrossRefGoogle Scholar
- Malter, F., & Börsch-Supan, A. (Eds.). (2013). SHARE Wave 4: Innovations and Methodology. Munich: MEA, Max Planck Institute for Social Law and Social Policy.Google Scholar
- Ramiro, D., Abellán, A., Durán, M. A., Fernández Mayoralas, G., Pérez-Díaz, J., Rodríguez, V. Y., & Rojo, F. (2012). Una vejez Activa en España. Madrid: EDIMSA.Google Scholar
- Robinson, G. K. 1991. That BLUP is a good thing: The estimation of random effects. Statistical Science. Institute of Mathematical Statistics, 6(1)15–32. doi: 10.1214/ss/1177011926.
- Ryder, N. B. 1965. The cohort as a concept in the study of social change. American Sociological Review, 843-861.Google Scholar
- World Health Organization. 2002. Active ageing. A policy framework. World Health Organization, Department of Health Promotion, Non-communicable Disease Prevention and Surveillance, Geneva, 1–60. http://whqlibdoc.who.int/hq/2002/who_nmh_nph_02.8.pdf.
- Zunzunegui, M. V., Alvarado, B. E., Del Ser, T., & Otero, A. (2003). Social networks, social integration, and social engagement determine cognitive decline in community-dwelling Spanish older adults. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 58(2), S93–100.CrossRefGoogle Scholar