Lifestyle differences between older migrants and non-migrants in 14 European countries using propensity score matching method

J. Arsenijevic*, W. Groot

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


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.
Original languageEnglish
Pages (from-to)337-347
Number of pages11
JournalInternational Journal of Public Health
Issue number3
Publication statusPublished - Apr 2018

JEL classifications

  • o15 - "Economic Development: Human Resources; Human Development; Income Distribution; Migration"
  • i14 - Health and Inequality
  • z19 - Cultural Economics: Other


  • Country of destination
  • Country of origin
  • Cross-sectional study
  • European countries
  • Migration
  • Propensity score matching
  • adult
  • Africa
  • age
  • aged
  • cross-sectional study
  • cultural factor
  • developing country
  • drinking behavior
  • epidemiology
  • ethnology
  • Europe
  • female
  • human
  • lifestyle
  • male
  • middle aged
  • Middle East
  • migration
  • propensity score
  • smoking
  • socioeconomics
  • statistics and numerical data
  • Adult
  • Age Factors
  • Aged
  • Alcohol Drinking
  • Cross-Sectional Studies
  • Cultural Characteristics
  • Developing Countries
  • Female
  • Humans
  • Life Style
  • Male
  • Middle Aged
  • Propensity Score
  • Smoking
  • Socioeconomic Factors
  • Transients and Migrants

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