Individual self-reported health, social participation and neighbourhood: a multilevel analysis in Malmö, Sweden.

Research output: Contribution to journalArticle


Background. The influence of neighbourhood and individual factors on self-reported health was investigated.

Methods. The public health survey in Malmö 1994 is a cross-sectional study. A total of 3,602 individuals aged 20–80 living in 75 neighbourhoods answered a postal questionnaire. The participation rate was 71%. A multilevel logistic regression model, with individuals at the first level and neighbourhoods at the second, was performed. We analysed the effect (intra-area correlation, cross-level modification and odds ratios) of neighbourhood on self-reported health after adjustment for individual factors.

Results. The neighbourhoods accounted for 2.8% of the crude total variance in self-reported health status. This effect was significantly reduced when individual factors such as country of origin, education and social participation were included in the model. In fact, no significant variance in self-reported health remained after the introduction of the individual factors in the model.

Conclusions. In Malmö, the neighbourhood variance in self-reported health is mainly affected by individual factors, especially country of origin, socioeconomic status measured as level of education and individual social participation.


Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Public Health, Global Health, Social Medicine and Epidemiology


  • Self-reported health, Education, Country of origin, Social participation, Multilevel analysis
Original languageEnglish
Pages (from-to)135-141
JournalPreventive Medicine
Issue number1
Publication statusPublished - 2004
Publication categoryResearch

Bibliographic note

The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Division of Social Medicine and Global Health (013241820), Preventive medicine (ceased) (LUR000017), Social Epidemiology (013241850)