Correlates of sedentary behaviour in Asian adults: A systematic review

Obes Rev. 2020 Apr;21(4):e12976. doi: 10.1111/obr.12976. Epub 2020 Jan 9.

Abstract

The objective of this study is to systematically review the evidence on correlates of sedentary behaviour (SB) among Asian adults. We searched for studies that examined individual, environmental, and political/cultural correlates of total and domain-specific SB (transport, occupation, leisure, and screen time) in Asian adults published from 2000 onwards in nine scientific databases. Two reviewers independently screened identified references. Following quality assessment of included studies, we performed narrative synthesis that considered differences based on SB measurements, regions, and population characteristics (PROSPERO: CRD42018095268). We identified 13 249 papers of which we included 49, from four regions and 12 countries. Researchers conducted cross-sectional analyses and most relied on SB self-report for SB measurement. Of the 118 correlates studied, the following associations were consistent: higher age, living in an urban area (East Asia), and lower mental health with higher total SB; higher education with higher total and occupational SB; higher income with higher leisure-time SB; higher transit density with higher total SB in older East Asians; and being an unmarried women with higher SB in the Middle East. We encourage more research in non-high-income countries across regions, further exploration of important but neglected correlates using longitudinal designs and qualitative research, and the use of objective instruments to collect SB data.

Keywords: Asia; determinant; ecological; health behaviour; non-communicable diseases; sitting.

Publication types

  • Research Support, Non-U.S. Gov't
  • Systematic Review

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Asia / epidemiology
  • Asian People / statistics & numerical data*
  • Educational Status
  • Environment
  • Female
  • Health Behavior
  • Humans
  • Male
  • Mental Health / statistics & numerical data
  • Middle Aged
  • Occupations
  • Sedentary Behavior / ethnology*
  • Socioeconomic Factors
  • Urban Population