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Purpose: Our aim was to verify the incidence of physical inactivity and excessive screen time during the first wave of the COVID-19 pandemic among Brazilian adults, as well as to identify subgroups that are more affected by the quarantine actions.Methods: The data of 39,693 Brazilian adults were collected through an online questionnaire between April 24th and May 24th, 2020. Information about physical activity (weekly frequency and daily duration), TV viewing, and computer/tablet use (daily duration) before and during the pandemic period were reported. The correlates adopted were sex, age group, highest academic achievement, skin color, per capita income, country macro region, working status during the quarantine, and adherence to the quarantine. Logistic regression models were used.Results: The incidence of physical inactivity (<150 min/week), high TV viewing (≥4 h/d), and computer/tablet use (≥4 h/d), were, respectively, 70.4%, 31.4%, and 37.9% during the COVID-19 pandemic. The younger age group showed higher incidences of physical inactivity (78%) and high computer/tablet use (59%), while middle-age adults (30-59 years) showed a higher incidence of TV viewing (34%). People who adhered to stricter measures of quarantine presented a higher incidence of excessive screen time.Conclusion: High incidences of physical inactivity and excessive screen time were identified in specific population subgroups during the first wave of the COVID-19 pandemic in Brazil. [ABSTRACT FROM AUTHOR]

Our aim was to investigate the mediating role of worsening sleep quality in the association of the incidence of physical inactivity, high TV-viewing, and high computer/tablet use with loneliness, sadness, and anxiety. Data of 45,161 Brazilian adults from a nationwide behavior survey, conducted between April 24th and May 24th (2020), were used. Participants reported physical inactivity (PI; <150 min/week), high TV-viewing (TV; ≥4 h/day), and high computer/tablet use (PC; ≥4 h/day) before and during COVID-19 quarantine (exposures). For incidence indicators, we only considered participants without the risk behavior before quarantine. Changes in sleep quality during the quarantine period (maintained/got better or worsened) were treated as a mediator. Elevated frequencies of feelings of loneliness, sadness (feel sad, crestfallen, or depressed), and anxiety (feel worried, anxious, or nervous) during the pandemic period were the study outcomes. Analyses were adjusted for sex, age group, highest academic achievement, working status during quarantine, skin color, previous diagnosis of depression, and adherence to quarantine. Mediation models were created using the Karlson Holm Breen method. The incidence of PI, high TV, and high PC use were associated with loneliness, sadness, and anxiety feelings. Worsening sleep quality partly mediated the association of the incidence of PI, high TV, and high PC use with loneliness (PI:30.9%; TV:19.6%; PC: 30.5%), sadness (PI:29.8%; TV:29.3%; PC: 39.1%), and anxiety (PI:21.9%; TV:30.0%; PC:38.5%). The association of the incidence of physical inactivity and sedentary behaviors with mental health indicators is partly mediated by worsening sleep quality during the COVID-19 pandemic quarantine. • Both the incidence of physical inactivity and sedentary behaviors were hegatively with mental health indicators. • Incidence of high sedentary behaviors and physical inactivity were associated with lower mental health during the quarantine. • Worsening sleep quality partly mediated the association between unhealthy movement behaviors and lower mental health indicators. [ABSTRACT FROM AUTHOR]

Objective: To analyze the associations of physical activity and TV-viewing reported changes during the COVID-19 pandemic quarantine with mental health among Brazilian adults with and without depression.Methods: Data of 43,995 Brazilian adults from a cross-sectional, nationwide behavior research were used. Participants reported the frequency on loneliness, sadness (feel sad, crestfallen or depressed) and anxiety (feel worried, anxious or nervous) feelings during the pandemic period. Frequency and duration of physical activity as well as duration of TV-viewing before and during the pandemic period were also reported. We created four categories of reported changes in physical activity (1-consistently active, 2-become active, 3-become inactive or 4-consistently inactive) and TV-viewing (1-consistently high, 2-become low, 3-become high or 4-consistently high). Participants also reported previous diagnoses of depression [yes (PD) or no (nPD). Logistic regression models separating people with and without depression were created.Results: Compared to consistently active participants, to become inactive during the pandemic was associated with a higher odds for loneliness [nPD:OR:1.32 (95%CI,1.02-1.70); PD:2.22 (1.21-4.06)], sadness [nPD:1.34 (1.01-1.77); PD:2.88 (1.54-5.36)], and anxiety [nPD:1.71 (1.30-2.25); PD:2.55 (1.20-5.42)]. Also, people with depression and consistently physically inactive presented higher odds for loneliness and sadness. Compared to consistently low TV-viewing, participants that become with high TV-viewing showed higher odds for loneliness [nPD:1.59 (1.37-1.86)], sadness [nPD:1.68 (1.44-1.96); PD:1.61 (1.21 to 2.15)] and anxiety [nPD:1.73 (1.48-2.02); PD:1.58 (1.12-2.23)].Conclusions: Reported increases in physical inactivity and TV-viewing during the COVID-19 pandemic were associated with poorer mental health indicators. People with depression and consistently physically inactivity were more likely to present loneliness and sadness. [ABSTRACT FROM AUTHOR]

Objectives: To investigate the association between sedentary time (ST) patterns and depressive symptoms, and whether moderate-to-vigorous physical activity (MVPA) can moderate this association. Methods: This cross-sectional study included a representative sample of 243 adults (mean age 41.8616.7 years, 56.4% women) from a city in Southeast Brazil. Depressive symptoms were estimated through the Hospital Anxiety and Depression Scale (HADS). ST patterns (i.e., number of breaks, mean length of sedentary bouts, and number of long sedentary bouts), total ST, and MVPA were assessed using accelerometers. Results: Poisson regression models revealed associations of total ST (b = 0.063; 95%CI 0.011 to 0.116) and number of long bouts (0.108; 0.047 to 0.171) with depressive symptoms among men. MVPA moderated the associations of breaks and longer bouts of ST with depressive symptoms, with an increase of one break/hour, the increase of one long bout, and a decrease of 1 minute in mean bout length being associated with a reduction of 0.211 and increases of 0.081 and 0.166, respectively, in the number of depressive symptoms among men with physical inactivity (breaks = -0.211; -0.360 to -0.063; mean bout length = 0.081; 0.003 to 0.158; number of long bouts = 0.166; 0.090 to 0.242). Conclusions: Interventions that encourage breaking up ST should be helpful to reduce depressive symptoms among people with physical inactivity. [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]

Objective: Our aim was to analyze the association between sugar-sweetened beverage consumption and depressive symptoms, as well as the extent to which TV viewing and physical activity moderate this association. Methods: We used cross-sectional data from the 2013 Brazilian National Survey (Pesquisa Nacional de Sau'de) of 59,402 adults (33,482 women, mean age = 42.9 years, 95%CI 42.7-43.2 years). Depressive symptoms (Patient Health Questionnaire-9), physical activity, TV viewing, and sugarsweetened beverage consumption, as well as potential confounders (chronological age, ethnicity, consumption of candy/sweets and fruit, multimorbidity, education, and employment status) were selfreported. Poisson regression models were used for association analyses. Results: The consumption of 16 or more glasses/week of sugar-sweetened beverages was associated with higher levels of severe depressive symptoms among women compared to no consumption (prevalence ratio [PR] 1.71 [95%CI 1.38-2.11]). Consistent interactions were observed between 1-5 glasses and TV viewing (PR 2.09 [95%CI 1.06-4.12]) and between 11-15 glasses and TV viewing (PR 2.90 [95%CI 1.29-6.50]) among men compared to no consumption, given that the cooccurrence of sugar-sweetened beverage consumption and elevated TV viewing was associated with higher odds of severe depressive symptoms. Sugar-sweetened beverage consumption did not interact with physical activity, only presenting an independent association. Conclusion: Sugar-sweetened beverage consumption was independently associated with severe depressive symptoms among women and interacted with TV viewing, but not with physical activity among men. [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]

To investigate the association of social isolation with physical activity and leisure-time sedentary behavior among adolescents. We used data from the Global School-based Health Survey, including a representative sample of 296,861 adolescents (11-18y) from 79 countries (48.9% girls, 14.5 ± 1.6 years). Social isolation was estimated by combining the self-reported number of friends and loneliness perception. Physical activity and leisure-time sedentary behavior were assessed through questionnaires. Multinomial logistic regression models were created to analyze the associations of social isolation with physical activity and leisure-time sedentary behavior. Compared with those practicing ≥60 min of physical activity during 1‐4 days/week, social isolation was associated with a higher prevalence of not practicing physical activity (Prevalence ratio [PR]:1.24; 95%CI:1.19–1.29), and a lower prevalence of practicing during ≥5d/wk. (PR:0.91; 95%CI:0.88–0.94). Compared with <4 h/d of leisure-time sedentary behavior, being socially isolated was also associated with a higher prevalence of 4-7 h/d (PR: 1.08; 95%CI:1.03–1.14) and ≥ 8 h/d (PR: 1.24; 95%CI:1.16–1.33) of leisure-time sedentary behavior. Compared with those participants without elevated leisure-time sedentary behavior and with those practicing adequate physical activity, social isolation was independently associated with a higher prevalence of physical inactivity (PR: 1.20; 95%CI: 1.15–1.26) and elevated leisure-time sedentary behavior (PR: 1.21; 95%CI: 1.14–1.30), as well as with both risk factors simultaneously (PR: 1.36; 95%CI: 1.28–1.45). Reducing social isolation could be an important component of future interventions to reduce sedentary behavior and physical inactivity among adolescents. • Social isolation was associated with lower moderate-to-vigorous physical activity. • Social isolation was associated with a higher leisure-time sedentary behavior. • Social isolation was associated with the combination of lower PA and higher SB. [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]