Comparing the sociodemographic characteristics of participants and non-participants in the population-based Tromsø Study

BMC Public Health. 2023 May 29;23(1):994. doi: 10.1186/s12889-023-15928-w.

Abstract

Background: Differences in the sociodemographic characteristics of participants and non-participants in population-based studies may introduce bias and reduce the generalizability of research findings. This study aimed to compare the sociodemographic characteristics of participants and non-participants of the seventh survey of the Tromsø Study (Tromsø7, 2015-16), a population-based health survey.

Methods: A total of 32,591 individuals were invited to Tromsø7. We compared the sociodemographic characteristics of participants and non-participants by linking the Tromsø7 invitation file to Statistics Norway, and explored the association between these characteristics and participation using logistic regression. Furthermore, we created a geographical socioeconomic status (area SES) index (low-SES, medium-SES, and high-SES area) based on individual educational level, individual income, total household income, and residential ownership status. We then mapped the relationship between area SES and participation in Tromsø7.

Results: Men, people aged 40-49 and 80-89 years, those who were unmarried, widowed, separated/divorced, born outside of Norway, had lower education, had lower income, were residential renters, and lived in a low-SES area had a lower probability of participation in Tromsø7.

Conclusions: Sociodemographic differences in participation must be considered to avoid biased estimates in research based on population-based studies, especially when the relationship between SES and health is being explored. Particular attention should be paid to the recruitment of groups with lower SES to population-based studies.

Keywords: Area socioeconomic status; Epidemiological studies; Sociodemographic characteristics; Survey.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Educational Status
  • Health Surveys
  • Humans
  • Income*
  • Male
  • Social Class*
  • Socioeconomic Factors
  • Surveys and Questionnaires