Physical activity correlates among 24,230 people with depression across 46 low- and middle-income countries

J Affect Disord. 2017 Oct 15:221:81-88. doi: 10.1016/j.jad.2017.06.012. Epub 2017 Jun 13.

Abstract

Background: There is a paucity of nationally representative data available on the correlates of physical activity (PA) among people with depression, especially in low- and middle-income countries (LMICs). Thus, we investigated PA correlates among community-dwelling adults with depression in this setting.

Methods: World Health Survey data included 24,230 adults (43.1 ± 16.1 years; 36.1% male) with ICD-10 diagnoses of depression including brief depressive episode and subsyndromal depression aged ≥ 18 years from 46 LMICs. PA was assessed by the International Physical Activity Questionnaire. Participants were dichotomised into low and moderate-to-high physically active groups. Associations between PA and a range of sociodemographic, health behaviour and mental and physical health variables were examined using multivariable logistic regressions.

Results: 34.8% of participants with depression were physically inactive. In the multivariate analyses, inactivity was associated with male sex, older age, not being married/cohabiting, high socio-economic status, unemployment, living in an urban setting, less vegetable consumption, and poor sleep/ low energy. In addition, mobility difficulties and some somatic co-morbidity were associated with not complying with the 150min per week moderate-to-vigorous PA recommendations.

Conclusions: The current data provide guidance for future population level interventions across LMICs to help people with depression engage in regular PA.

Keywords: Depression; Exercise; Physical activity.

MeSH terms

  • Adult
  • Depression / physiopathology*
  • Depressive Disorder / physiopathology*
  • Developing Countries / statistics & numerical data*
  • Exercise / psychology*
  • Female
  • Global Health
  • Health Behavior
  • Health Surveys
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Poverty / psychology*