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Public Health ; 232: 195-200, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38805868

ABSTRACT

OBJECTIVE: This study investigated the associations of occupational physical activity and active transport with depressive symptoms, stratified by income range, among Brazilian working adults. STUDY DESIGN: This cross-sectional study drew on data from the 2019 Brazilian National Health Survey. METHODS: We used the Patient Health Questionnaire (PHQ-9) to assess depressive symptoms in working adults aged 18-65 years, with physical activities (occupational physical activity and active transport) self-reported through a specially developed questionnaire. Crude and adjusted logistic regression models were fitted. RESULTS: Individuals at the highest level of occupational physical activity (odds ratio [OR] 1.35; 95% confidence interval [95% CI] 1.19-1.53) and at the moderate level of active transport to work (OR 1.66; 95% CI 1.24-2.22) returned increased odds of depressive symptoms as compared with those who were inactive in these domains. Stratified by income group, light active transport to work (OR 0.57; 95% CI 0.34-0.95) in the lower income group (Range 1) was associated with lower odds of depressive symptoms. On the other hand, individuals at the highest level of active transport to work returned higher odds of depressive symptoms in the low- and intermediate-income groups, Ranges 3 and 4 (OR 1.92; 95% CI 1.22-3.00 and OR 2.91; 95% CI 1.71-4.95, respectively). CONCLUSION: Our results suggest that occupational physical activity and active transport may be a risk factor for depressive symptoms. They also point to differences in this relationship by income range. Further studies are needed to pursue the analysis of how specific domains of physical activity contribute to depressive symptoms.


Subject(s)
Depression , Exercise , Humans , Adult , Middle Aged , Male , Female , Exercise/psychology , Cross-Sectional Studies , Brazil/epidemiology , Depression/epidemiology , Depression/psychology , Young Adult , Adolescent , Aged , Transportation/statistics & numerical data , Income/statistics & numerical data , Health Surveys
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