TY - JOUR
T1 - Physical activity correlates among 24,230 people with depression across 46 low- and middle-income countries
AU - Vancampfort, Davy
AU - Stubbs, Brendon
AU - Firth, Joseph
AU - Hallgren, Mats
AU - Schuch, Felipe
AU - Lahti, Jouni
AU - Rosenbaum, Simon
AU - Ward, Philip B.
AU - Mugisha, James
AU - Carvalho, Andre F.
AU - Koyanagi, Ai
PY - 2017
Y1 - 2017
N2 - 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 ñ 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 150àmin 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.
AB - 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 ñ 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 150àmin 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.
KW - depression_mental
KW - developing countries
KW - exercise
KW - health attitudes
KW - mental health
KW - physical fitness
UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:42220
U2 - 10.1016/j.jad.2017.06.012
DO - 10.1016/j.jad.2017.06.012
M3 - Article
SN - 0165-0327
VL - 221
SP - 81
EP - 88
JO - Journal of Affective Disorders
JF - Journal of Affective Disorders
ER -