International Journal of Public Health
Volume 63, Issue 3, 2018, Pages 337-347

Lifestyle differences between older migrants and non-migrants in 14 European countries using propensity score matching method (Article) (Open Access)

Arsenijevic J.* , Groot W.
  • a Department of Health Services Research, Faculty of Health, Medicine and Life Sciences, CAPHRI, Maastricht University Medical Center, Maastricht University, PO Box 616, Maastricht, 6200, Netherlands, Faculty of Law, Economics and Governance, Utrecht University, Utrecht, Netherlands
  • b Department of Health Services Research, Faculty of Health, Medicine and Life Sciences, CAPHRI, Maastricht University Medical Center, Maastricht University, PO Box 616, Maastricht, 6200, Netherlands, Top Institute Evidence-Based Education Research (TIER), Maastricht University, Maastricht, Netherlands

Abstract

Objectives: We examine the differences in lifestyle between four groups of migrants—first generation of older migrants originating from one of the EU countries, Africa or the Middle East and second-generation older EU migrants—with non-migrants in their country of destination. Methods: We use wave 5 of the SHARE data. To control for differences in socio-demographic characteristics, cultural factors and duration of stay in country of destination between migrants and non-migrants, we use propensity matching score analysis. Results: Older migrants from Southern European countries are more likely to smoke than non-migrants in their country of origin. Older migrants originating from Africa and the Middle East are more likely to smoke than non-migrants in their country of destination. Some groups of second-generation older migrants are more likely to consume alcohol and to have lower levels of physical activity than non-migrants in their country of destination. Conclusions: Our results show that differences in lifestyle between migrants and non-migrants exist, but they are not solely related to their migrant status. Cultural and socio-demographic characteristics also play a role. © 2017, The Author(s).

Author Keywords

Migration Propensity score matching Country of destination Country of origin European countries Cross-sectional study

Index Keywords

lifestyle Life Style Alcohol Drinking drinking behavior Europe developing country Developing Countries human epidemiology middle aged Middle East statistics and numerical data Aged ethnology Cross-Sectional Studies cross-sectional study Humans smoking male female Socioeconomic Factors Africa socioeconomics cultural factor adult migration propensity score age Age Factors Cultural Characteristics Transients and Migrants

Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85023755120&doi=10.1007%2fs00038-017-1010-5&partnerID=40&md5=ef5d7822a616a4fc7d69ed6d93b3316b

DOI: 10.1007/s00038-017-1010-5
ISSN: 16618556
Cited by: 3
Original Language: English