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Quarantine periods change routines and behaviors with potential impact on different health outcomes. To determine the association between changes in physical activity and sedentary behaviors with changes in back pain during the COVID-19 pandemic quarantine among Brazilian adults. This was a nationwide survey through online questionnaires using data from 43,062 adults (≥ 18 years of age). Information on back pain was assessed using questions about episodes of back pain and worsening symptoms during the quarantine. The pattern of movement behaviors adopted before and during the pandemic were considered for physical inactivity (< 150 min/week of activity), high TV-viewing (≥ 4 h/d), and high computer/tablet use (≥ 4 h/d). Covariates included sex, age group, academic achievement, skin color, working status during the quarantine, and adherence to the quarantine. Logistic regression models were used for statistical analyses (weighted for national representativity). Becoming inactive (OR=1.76, 95% CI: 1.32, 2.37), with high TV-viewing (OR=1.35, 95% CI: 1.14, 1.61) and high computer/tablet use (OR=1.39, 95% CI: 1.11, 1.73) during the pandemic were associated with a higher incidence of back pain. The incidence of physical inactivity was also associated with increased back pain (OR=2.71, 95%CI: 1.64, 4.48). We conclude that increased physical inactivity and sedentary behaviors due to the COVID-19 pandemic quarantine are associated with the incidence and worsening symptoms of back pain among Brazilian adults. [ABSTRACT FROM AUTHOR]

Background This study examined the joint associations of leisure time physical activity and television (TV) viewing time with the prevalence of chronic diseases among Brazilian adults. Methods Data from the Brazilian Health Survey, a nationally representative survey conducted in 2013 (n  = 60 202; ≥18 years), were used. Time spent in TV viewing and leisure physical activity, physician diagnoses of diabetes, hypertension and heart disease and information on co-variables (chronological age, education, ethnicity, candies/sweets consumption, sodium intake and tobacco smoking) were collected via interview. Descriptive statistics (mean and 95% confidence interval) and logistic regression models were used for etiological analyses. Results Physical activity attenuated but did not eliminate the risk associated with high TV viewing for at least one chronic disease in the general population [odds ratio [OR]: 1.29 (1.11–1.50)] and among women [OR: 1.31 (1.09–1.60)], adults [OR: 1.24 (1.05–1.46)] and older adults [OR: 1.63 (1.05–2.53)]. On the other hand, physical activity eliminated the risk associated with high TV viewing for at least one chronic disease among men [OR: 1.24 (0.98–1.58)]. Conclusions We conclude that physical activity can attenuate but not eliminate the negative effects of high TV viewing on chronic disease among subgroups of Brazilian adults. [ABSTRACT FROM AUTHOR]

Background: Our aim was to analyze the association of self-reported mentally-passive and mentally-active sedentary behaviors with different patterns (bouts and breaks) of device-measured sedentary time in adolescents. Methods: This was a cross-sectional study conducted among 375 adolescents (177 boys) aged 1015 years. Total time, bouts and breaks of sedentary time were measured through accelerometers. Self-reported sedentary behavior in different activities was summed and divided into mentally-active (playing electronic games, studying and reading) and mentally-passive (watching TV, watching DVD, and using computer for leisure). Bayesian linear regression models were used for association analyses. Results: Only mentally-passive sedentary behaviors were positively associated with longer bouts [1-4 minutes: mean posterior distribution: -0.431 (95% credible interval: -0.745 to -0.114); =15 minutes: 0.641 (0.122 to 1.222)] and lower number of breaks [-0.138 (-0.228 to -0.044)] of device-measured sedentary time. Conclusion: Self-reported mentally-passive sedentary behaviors are associated with longer bouts and lower breaks of device-measured sedentary time. [ABSTRACT FROM AUTHOR]

Background Our aim was to investigate the association between physical activity and alcohol consumption, as well as the sociodemographic and behavioral patterns of this association in a representative sample of Brazilian adults. Methods Data from the Brazilian Health Survey (PNS), a nationally representative survey conducted in 2013 (n = 60 202; age≥18 years), were used. Time spent in leisure physical activity, alcohol consumption as well as sociodemographic (chronological age, educational status and skin color) and associated behavioral factors (TV viewing and tobacco smoking) were collected via interview. Logistic regression models were used for the main analyses. Results Prevalence of weekly and almost daily alcohol consumption were 29.5% and 6.7% for men and 12.0% and 1.0% for women respectively. Adults with weekly alcohol consumption were more likely to be classified as physically active [young: men=OR:1.20 (CI 95%:1.02–1.39), women= OR:2.33 (CI 95%:1.92–2.82); middle-aged: men= OR:1.46 (CI 95%: 1.17–1.82), women= OR:1.75 (CI 95%:1.38–2.22); older: men= OR:1.83 (CI 95%:1.27–2.66), women= OR:2.11 (CI 95%: s1.26–3.52)], when compared to adults with no alcohol consumption. Almost daily alcohol consumption was associated with lower physical activity among young and middle-aged adults but with higher physical activity among older adults of both sexes and young women. Conclusions Weekly alcohol consumption was associated with a higher level of physical activity among young, middle aged and older adults. [ABSTRACT FROM AUTHOR]

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Background: Physical inactivity and sedentary behavior are major concerns for public health. Although global initiatives have been successful in monitoring physical activity (PA) worldwide, there is no systematic action for the monitoring of correlates of these behaviors, especially in low- and middle-income countries. Here we describe the prevalence and distribution of PA domains and sitting time in population sub-groups of six south American countries. Methods: Data from the South American Physical Activity and Sedentary Behavior Network (SAPASEN) were used, which includes representative data from Argentina (n = 26,932), Brazil (n = 52,490), Chile (n = 3719), Ecuador (n = 19,851), Peru (n = 8820), and Suriname (n = 5170). Self-reported leisure time (≥150 min/week), (≥150 min/week), transport (≥10 min/week), and occupational PA total (≥10 min/week), as well as sitting time (≥4 h/day) were captured in each national survey. Sex, age, income, and educational status were exposures. Descriptive statistics and harmonized random effect meta-analyses were conducted. Results: The prevalence of PA during leisure (Argentina: 29.2% to Peru: 8.6%), transport (Peru: 69.7% to Ecuador: 8.8%), and occupation (Chile: 60.4 to Brazil 18.3%), and ≥4 h/day of sitting time (Peru: 78.8% to Brazil: 14.8%) differed widely between countries. Moreover, total PA ranged between 60.4% (Brazil) and 82.9% (Chile) among men, and between 49.4% (Ecuador) and 74.9% (Chile) among women. Women (low leisure and occupational PA) and those with a higher educational level (low transportation and occupational PA as well as high sitting time) were less active. Concerning total PA, men, young and middle-aged adults of high educational status (college or more) were, respectively, 47% [OR = 0.53 (95% CI = 0.36–0.78), I2 = 76.6%], 25% [OR = 0.75 (95% CI = 0.61-0.93), I2 = 30.4%] and 32% [OR = 0.68 (95% CI = 0.47-1.00), I2 = 80.3%] less likely to be active. Conclusions: PA and sitting time present great ranges and tend to vary across sex and educational status in South American countries. Country-specific exploration of trends and population-specific interventions may be warranted. [ABSTRACT FROM AUTHOR]