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Background: We tested whether stressful workplace characteristics confound or moderate the association between occupational physical activity and depressive symptoms.Method: We used data of 36,442 employed adults (16,992 women), with a mean age of 39.3 ± 12.6y, from the 2013 Brazilian National Health Survey. Depressive symptoms were assessed through the Patient Health Questionnaire-9 (cut-point: ≥10). Occupational physical activity was self-reported and classified using the cut-point of 150 min/week and the highest quintile. Ten stressful workplace characteristics (e.g. exposure to stress, noise, violence) were also self-reported dichotomously. Logistic regression models were used considering the adjustment for potential confounders.Results: Most of the stressful workplace characteristics were associated with elevated depressive symptoms (8/10 characteristics) and higher occupational physical activity (9/10 characteristics). Although there were no interactions in combined associations, we found that the association between occupational physical activity and depressive symptoms consistently reduced after adjusting for the cluster of positive screening for at least two stressful workplace characteristics in men [highest quintile: ORunadjusted: 1.63 (95%CI 1.22-2.17) vs ORadjusted: 1.36 (1.08-1.91); ≥150 min/week: ORunadjusted: 1.43 (1.09-1.88) vs ORadjusted: 1.25 (0.95-1.64)], and women [highest quintile: ORunadjusted: 2.15 1.73-2.66) vs ORadjusted: 1.83 (1.47-2.29); ≥150 min/week: ORunadjusted: 2.11 (1.68-2.65) vs ORadjusted: 1.80 (1.42-2.27)].Limitations: The cross-sectional design limits the causal inference.Conclusions: Stressful workplace characteristics did not moderate, but acted as confounders in the association between occupational physical activity and elevated depressive symptoms and should be considered in future studies. [ABSTRACT FROM AUTHOR]

Background: Our aim was to analyze the associations between multiple lifestyle behaviors and depressive symptoms.Methods: We included 4,725 adults (18-59y), that provided data in routine health evaluations of a hospital in Brazil, followed for a mean period of 3.1 ± 1.6 years. Physical activity, alcohol consumption (measured using Alcohol Use Disorders Identification Test) and tobacco smoking were categorized as: (1) absence of the behavior (inactivity i.e. not complying with 150 min of moderate-to-vigorous PA/week, not smoking, no risky drinking, i.e. AUDIT<5) during baseline and follow-up; (2) Absence during baseline and presence during follow-up; (3) Presence during baseline and absence during follow-up; (4) Presence during both time points. Depressive symptoms were measured with the Beck Inventory was adopted to analyze patterns of depressive symptoms over time (as exposure). C-reactive protein [HS-CRP]) was assessed and its role in the association was tested. Incidence indicators of behaviors and depressive symptoms were created and used as outcomes. We used crude and adjusted Poisson regression analysis.Results: Fully adjusted models revealed that persistently physical inactive participants (RR:1.71;95%CI:1.33-2.21), those who became physically inactive (1.68;1.19-2.26), with consistently risky drinking (1.62;1.15-2.30), and who became risky drinkers (1.62;1.15-2.30) had higher risk for incidence of elevated depressive symptoms. Vice versa participants with incidence of depressive symptoms over time presented higher risk for physical inactivity (1.44;1.11-1.87) and risky drinking (1.65;1.16-2.34) incidence. HS-CRP did not influence the associations.Limitations: Self-reported physical activity, binary tobacco smoking, and non-probabilistic sampling.Conclusions: There is a prospective relationship between elevated depressive symptoms and adverse lifestyle behaviors. [ABSTRACT FROM AUTHOR]

Aims: We analyzed the joint association of high ultra-processed food ingestion and sedentary behavior (SB) with anxiety-induced sleep disturbance among Brazilian adolescents.Methods: Data from the Brazilian Scholar Health Survey, a nationally representative survey of 9th grade adolescents [mean: 14.28 years (range: 11-18 years)] conducted in 2015 (n = 100,648) were used. Self-reported anxiety-induced sleep disturbance, SB (TV viewing and total sitting time), and frequency of ingestion of different ultra-processed foods were collected. Age, ethnicity, type of city (capital or interior), region of the country, and habitual physical activity (global scholar survey questionnaire) were covariates. Logistic regression analyses were conducted to assess the associations.Results: High ultra-processed food ingestion plus low SB [boys:OR:1.44(99%CI:1.16-1.79), girls:OR:1.41(99%CI:1.22-1.63)] were risk factors for anxiety-induced sleep disturbance. The highest risk of anxiety-induced sleep disturbance was observed among those who joint high ultra-processed food ingestion with high SB [boys:OR:1.85(99%CI:1.46-2.35), girls:OR:1.62(99%CI:1.39-1.89)]. In addition, the interaction of high ultra-processed food ingestion with TV-viewing substantially increased the odds of anxiety-induced sleep disturbance [boys:OR:2.03(99%CI:1.61-2.56), girls:OR:2.04(99%CI:1.76-2.36)].Conclusions: Both the high consumption of ultra-processed foods and SB (especially TV-viewing) appear to be independently associated with anxiety-induced sleep disturbance in both sexes. However, the co-occurrence of both negative lifestyle behaviors is associated with a substantial increase in the risk of anxiety-induced sleep disturbance. Future longitudinal research is required to confirm/refute our findings and explore potential mechanisms. [ABSTRACT FROM AUTHOR]

Background: Both physical activity (PA) and TV-viewing are associated with depressive symptoms, but the combined association with depressive symptoms is unclear. Therefore, our aim was to analyze the joint association of PA and TV-viewing with depressive symptoms among a large cohort of adults.Methods: We used data from the Brazilian National Survey, conducted in 2013 with 59,401 adults [≥18 years (34,282 women)]. Information regarding exposures (TV-viewing and leisure PA), outcome (depressive symptoms) and covariates (chronological age, race, educational status, employment status, tobacco smoking, alcohol consumption) were self-reported. Body mass index was estimated through the assessment of body mass and stature. Logistic regression models were used.Results: Engaging in >5 hours of TV viewing was associated with elevated depressive symptoms [13.1% (CI95%: 11.6%-14.7%) vs. 7.4% (95%CI:7.0%-7.8%)]. However, this association was nullified when people met guidelines and engaged in >150 min of PA per week. Specifically, among men [Active: OR = 1.16 (95%CI: 0.58-2.32) vs. Inactive: OR = 3.63 (95%CI: 2.43-5.42)] and women [Active: OR=1.30 (95%CI: 0.80-2.11) vs. Inactive: OR = 1.84 (95%CI: 1.43-2.36)].Conclusion: Whilst TV viewing is associated with increased depressive symptoms, meeting recommended physical activity levels reduces the association between TV-viewing and depressive symptoms. [ABSTRACT FROM AUTHOR]

Background: Our aim was to examine associations between depression and time spent in TV viewing in a representative sample of Brazilian adults.Methods: Data from the Brazilian National Health Survey (Pesquisa Nacional de Saúde - PNS in Portuguese) (n =60,202; ≥18 years) were used. Time spent TV viewing (h/day) was elicited via interview. Depression was evaluated through the Patient Health Questionnaire-9. Chronological age, educational status, employment status, alcohol use, tobacco smoking and body mass index were covariates. Descriptive statistics (mean and 95% confidence interval) and adjusted logistic regression models were applied.Results: Five or more hours as well as less than 1 h of TV viewing was associated with increased depression (men: <1 h OR = 1.89, 95%CI = 1.40-2.54; ≥5 h OR = 2.69, 95%CI = 1.88-3.83; women: <1 h OR = 1.50, 95%CI = 1.25-1.81; ≥5 h OR = 1.65, 95%CI = 1.35-2.03) when compared to 2-2.99 h of TV viewing.Conclusion: More than 5 h/day seems to be associated with a higher risk for depression among Brazilian adults (except for older adults). Less than 1 h TV viewing might be a measure-of-proxy for a lower socio-economic status, which is a known risk factor for depression. [ABSTRACT FROM AUTHOR]