What are the correlates of intention to be physically active in Brazilian adolescents? A network analysis.

OBJECTIVE: The current study aimed to explore the association of individual characteristics, social and environmental factors - school and region - in the intention to be physically active in Brazilian adolescents. METHODS: This is a cross sectional study based on the third edition of the National School Health Survey. The study included a total of 53,937 adolescents. To assess the intention to be physically active, only who engaged in less than 300 min of physical activity per week were included. Participants were asked: "If you had the opportunity to practice physical activity most days of the week, what would your attitude be?" Individual characteristics, physical activity domains, social factors, school, and regional environments were used as exposures. Network analysis was utilized to evaluate the associations. RESULTS: We observed that boys had higher intentions to be physically active compared to their peers, as did adolescents who perceived themselves as fat. In addition, students from private schools show a higher intention to regularly engage in physical activities, and in general, private schools offer more extracurricular physical activities. CONCLUSION: In conclusion, individual factors such as sex and body image perception, and environmental factors such as school administrative dependency and availability of extracurricular activities had a significant contribution to the intention to be physically active among Brazilian adolescents.

Global prevalence and gender inequalities in at least 60 min of self-reported moderate-to-vigorous physical activity 1 or more days per week: An analysis with 707,616 adolescents.

BACKGROUND: Guidelines recommend that adolescents should accumulate an average of 60 min per day of moderate-to-vigorous physical activity (MVPA). However, using only this cut-off could hide important information. For instance, from a population-level point of view, increasing physical activity for those with no or low physical activity could provide more health benefits than increasing physical activity for those with intermediate levels. Also, including a more sensitive cut-point of ≥1 day per week could be an additional strategy for identifying those with low access/opportunities for physical activity practice. Thus, the current study aims to estimate the prevalence of ≥60 min of MVPA ≥1 days per week among adolescents globally, and to describe any relevant gender inequalities. METHODS: We used representative datasets from 146 countries/territories collected between 2003 and 2019. MVPA was self-reported. Participants were grouped into younger (≤14 years old) and older (>14 years old) adolescents. Crude Poisson regression models were used to identify the relative differences in ≥60 min of MVPA ≥1 days per week between boys and girls, and random-effects meta-analysis models were used to identify the pooled estimates. Analyses were stratified by country and region. RESULTS: Approximately 80% of both younger and older adolescents reported ≥60 min of MVPA ≥1 days per week. This prevalence was ≥94% in Europe and Central Asia and North America, while the estimates for the other regions were <77%. The prevalence of ≥60 min of MVPA ≥1 days per week was higher among boys than girls, with the largest differences occurring among the oldest adolescents (PR≤14y: 1.04 (95% confidence interval (95%CI): 1.03‒1.04) vs. PR>14y: 1.09 (95%CI: 1.08‒1.10)). CONCLUSION: Approximately 8 out of 10 adolescents reported accumulating ≥60 min of MVPA ≥1 day per week, with notable differences between regions. Gender differences were observed in several countries, especially among the oldest adolescents. Priorities for physical activity promotion among adolescents should include increasing access/opportunities for physical activity among those who do not achieve ≥60 min of MVPA ≥1 days per week and reducing gender inequalities.

Are more physical education classes related to less time in leisure-time sedentary behavior? An analysis including adolescents from 73 countries.

This study aimed to verify the association between the weekly frequency of physical education (PE) classes and leisure sitting time among adolescents. We analyzed data from 73 countries using the Global School-based Student Health Survey (283,233 adolescents between 11 and 18 years of age). Leisure sitting time and weekly frequency of PE classes were self-reported. Sex, age, and food insecurity were used as covariates and the analyses were stratified by world regions and country income level. Poisson regression models (random-effects meta-analysis) were used for the main analyses. In comparison with 1 PE class per week (reference group), those with no PE classes presented a lower prevalence of ≥ 3 h/d of leisure sitting time (PR [95%CI] = 0.94 [0.91; 0.98]). On the other hand, adolescents with 2 days (PR [95%CI] = 1.06 [1.02; 1.26]), 3-4 days (PR [95%CI] = 1.17 [1.12; 1.22]), and 5 days (PR [95%CI] = 1.08 [1.04; 1.11]) of PE classes presented a higher likelihood of ≥ 3 h/d of leisure sitting time. No clear differences were observed for the different world regions and country income levels. We conclude that a higher weekly frequency of PE classes is associated with increased leisure sitting time among adolescents worldwide.

Social isolation is associated with higher leisure-time sedentary behavior and lower physical activity practice: A multi-country analysis of data from 79 countries from the Global School-Based Student Health Survey.

AIM: To investigate the association of social isolation with physical activity and leisure-time sedentary behavior among adolescents. METHODS: 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. RESULTS: 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). CONCLUSION: Reducing social isolation could be an important component of future interventions to reduce sedentary behavior and physical inactivity among adolescents.

Mentally-passive sedentary behavior and incident depression: Mediation by inflammatory markers.

BACKGROUND: Sedentary behavior (SB; time spent sitting, as distinct from lack of exercise or physical activity) is associated with depression, yet little is known about the relationship between different types of SB (e.g., mentally-passive versus mentally-active) with depression and potential biological mediators of these associations. METHODS: We used cohort data from the 1958 National Child Development Study (n = 4607; 50.4 % women), conducted in UK, employing the 44 y and 46 y waves as baseline, and the 50 y and 55 y waves as follow-up. Participants reported time spent in TV viewing and watching videos (mentally-passive SB); and, time sitting while doing light activities such as deskwork or driving a car during worktime (mentally-active SB). Depression diagnosis was self-reported during the initial and follow-up waves. Waist circumference, C-reactive protein, and glycated hemoglobin were examined as potential mediators. RESULTS: Mentally-passive SB was associated with incident depression (HR: 1.43; 95%CI: 1.19; 1.71), while there was no association for mentally-active SB. Waist circumference (coefficient: -0.03; 95%CI: -0.05; -0.01; 9.2 %) and C-reactive protein (coefficient: -0.03; 95%CI: -0.04; -0.01; 8.3 %), but not glycated hemoglobin, partly mediated the association for mentally-passive SB. CONCLUSIONS: In the relationship of mentally-passive SB with incident depression, the mediating contributions of waist circumference and C-reactive protein point to possible inflammatory-related mechanisms.

Handgrip strength, physical activity and incident mild cognitive impairment and dementia.

OBJECTIVE: We analyzed the mediating role of handgrip strength in the association between moderate to vigorous physical activity and incident mild cognitive impairment and dementia. METHODS: We used prospective data from 14 European countries participating in the Survey of Health, Ageing, and Retirement in Europe. 19,686 participants free of dementia and mild cognitive impairment (64.9 ± 8.7 years) were followed up for a mean of 10.2 years. Moderate to vigorous physical activity was self-reported, and handgrip strength was assessed with a dynamometer. Mild cognitive impairment was defined as 1.5 standard deviations below the mean of the standardized global cognition score, while dementia was determined by physician diagnosis. Gender, age, country, education, presence of chronic diseases, depressive symptoms, limitations in activities of daily living, body mass index, and baseline cognitive levels were used as covariates. Cox proportional hazards as well as mediation models were used. RESULTS: Moderate to vigorous physical activity for at least 1 day per week was independently associated with lower incident mild cognitive impairment (HR: 0.85; 95%CI: 0.74-0.98). A 10 % increase in handgrip strength was associated a 6 % lower hazard for incident mild cognitive impairment (0.94; 0.92-0.97) and 5 % lower hazard for incident dementia (0.95; 0.93-0.98). Handgrip strength partly mediated the association of moderate to vigorous physical activity with mild cognitive impairment (Coefficient: 0.03; 95%CI: 0.01-0.05; 17.9 %). CONCLUSIONS: Physical activity is independently associated with a lower incidence of mild cognitive impairment.

Physical Activity and Sitting Time Patterns and Sociodemographic Correlates Among 155,790 South American Adults.

BACKGROUND: To estimate the prevalence of different physical activity (PA) domains and sitting time (ST), and to analyze the association with sociodemographic indicators. METHODS: Data from the most recent nationally representative survey from each of the South American countries, comprising 155,790 adults (18-64 y), were used. Data on leisure-time, transport, and occupational PA (all 3 domains as nonzero), total PA (≥150 min/wk), and ST (≥8 h/d) were assessed by specific questionnaires in each survey. Gender, age group (18-34, 35-49, and 50-64 y), and education (quintiles) were used as sociodemographic factors. Random effect meta-analysis of the association between sociodemographic factors and PA and ST were conducted. RESULTS: The prevalence of PA guidelines compliance and elevated ST in South America was 70.3% and 14.1%, respectively. Women were less likely to achieve the recommended levels of total and domain-based PA. Participants in the highest quintile of education were more likely for elevated ST (2.80, 2.08-3.77), lower occupational PA (0.65, 0.44-0.95), but higher leisure-time PA (3.13, 2.31-4.27), in comparison with lowest quintile. Older adults were less likely to participate in total and leisure-time PA. CONCLUSION: Our findings highlight the urge to tackle the inequalities in PA practice in South America, especially gender and education inequalities, for leisure-time PA.

Multimorbidity is associated with TV-viewing, but not with other types of screen-based behaviors in Brazilian adults.

BACKGROUND: The presence of multimorbidity increases the risk of mortality, and identifying correlates of multimorbidity can direct interventions by targeting specific modifiable correlates. Here we aimed to investigate the association between two types of screen-based behaviors and multimorbidity. METHODS: We used data from 87,678 Brazilian adults from the National Health Survey (2019). Multimorbidity (presence of two or more chronic conditions among 12 possibilities), TV-viewing, and time on other types of screens (computer, tablet, or cell phone), were self-reported. Crude and adjusted binary and multinominal logistic regression models were performed stratified by sex, age group, and the number of chronic conditions. RESULTS: Considering adjusted values, 2 h/day as a reference, and reporting values in odds ratio (OR) and prevalence ratio (PR) with 95% confidence intervals (95%CI), multimorbidity presented associations with TV-viewing in general [from OR (95%CI) 1.10 (1.03-1.18) in 2 to < 3 h/d, to OR (95%CI) 1.57 (1.40-1.76) in ≥ 6 h/d], except in 2 to < 3 h/d time category for male and 35 to 49 years, and all time categories for 18 to 34 years. In addition, TV-viewing was associated with an increasing number of chronic conditions, all greater in ≥ 6 h/d [2 conditions - PR (95%CI) 1.24 (1.08-1.43); 3 conditions - PR (95%CI) 1.74 (1.45-2.08); 4 or more conditions - PR (95%CI) 2.29 (1.93-2.73)], except in 2 conditions on 2 to < 3 h/d. Other types of screen-based behaviors were only associated with multimorbidity among males [≥ 6 h/d: OR (95%CI) 1.22 (1.01-1.48)] and older individuals (65 years) in some time categories [3 to < 6 h/d: OR (95%CI) 1.98 (1.42-2.77) and ≥ 6 h/d: OR (95%CI) 1.73 (1.06-2.84)]. CONCLUSION: Intervention strategies for reducing screen time in Brazilian adults should focus mainly on TV-viewing, which seems to be associated with more harmful conditions than time on other types of screen-based behaviors.

The moderating effect of physical activity on the association between screen-based behaviors and chronic diseases.

We analyzed the associations of screen-based behaviors with obesity, hypertension, and diabetes, and the moderation of different physical activity (PA) domains in these associations. We used data from the 2019 Brazilian National Health Survey, including data from 80,940 adults (mean age of 32.6 years). TV viewing, other screens (PC, tablet, and cell phone), PA domains (leisure-time, occupational, and transport) were collected via interview. Logistic regression models were used. There was a dose-response association of higher TV viewing with diabetes. Within the groups with medium and higher time spent on other screens, those with < 150 min/week in leisure-time PA increased the odds for obesity [1-2.9 h/day: OR = 1.18 (1.01, 1.39)] and hypertension [1-2.9 h/day: OR = 1.29 (1.08, 1.53); ≥ 6 h/day: OR = 1.47 (1.03, 2.09)]. Likewise, among the participants who spent ≥ 6 h/day of TV viewing, those with < 150 min/week of occupational PA presented higher odds for hypertension [OR = 1.61 (1.03, 2.53)]. In the group with higher use of other screens, < 150 min per week of occupational PA was associated with lower odds for obesity [1-2.9 h/day: OR = 0.81 (0.68, 0.97)] and hypertension [≥ 6 h/day: OR = 0.65 (0.44, 0.98)]. In conclusion, the associations of other screens with obesity and hypertension were strongest among those without leisure-time PA, while the moderator role of occupational PA was not clear.

Sociodemographic inequalities in the trends of different types of leisure-time physical activity among Brazilian adults between 2006 and 2019.

BACKGROUND: The current study aimed to describe the trends in gender, ethnicity, and education inequalities of types of leisure-time physical activity (LTPA) practiced by Brazilian adults from 2006 to 2019. METHODS: We used data from 2006 to 2019 of the Brazilian Surveillance System for Risk and Protective Factors for Chronic Diseases by Telephone Survey, which is an annual survey with a representative sample of adults (≥ 18y) living in state capital cities. The types of LTPA considered were walking, running, strength/gymnastics, sports, other LTPA, and no LTPA participation. Gender (women or men), ethnicity (white, black, brown, or yellow/indigenous), and years of formal education were also self-reported. We used relative frequencies and their respective 95% confidence intervals to analyze trends. The absolute and relative differences between the proportions were used to assess the inequalities. RESULTS: We observed increases in inequalities related to gender and education (running and strength/gymnastics), while gender inequalities for sports, other types, and no LTPA participation decreased. There were persistent inequalities related to gender (walking) and education (sports, other types, and no LTPA participation). Considering ethnicity, we noted increases in inequality for strength/gymnastics, where white adults were more active than black and brown adults. In addition, white adults reported more access to LTPA than brown adults over the years analyzed. CONCLUSION: Women, black and brown people, and subjects with less schooling were the most unfavored groups. While some inequalities persisted over the years, others increased, such as ethnicity and education inequalities for strength/gymnastics.

Clusters of obesogenic behaviors and metabolic risk according to somatic maturity status among adolescents.

OBJECTIVE: This study aimed to identify the clusters of obesogenic behaviors, and verify the association with metabolic risk according to the categories of somatic maturity status of adolescents. METHODS: This is a cross-sectional study conducted with 1159 (55.1% girls) Brazilian adolescents aged between 10 and 16 years (mean age: 12.9 years). Measurements of waist circumference, blood pressure, blood glucose, HDL-C, and triglycerides were combined to calculate a metabolic risk score. Somatic maturity was assessed by estimating the peak of height velocity. The obesogenic behaviors analyzed were physical activity (Baecke questionnaire), sedentary behavior (screen-based behaviors) and dietary habits (consumption of healthy and unhealthy food). The Two Step clustering algorithm using the log-likelihood measure was employed to cluster formation and regression models were adopted to the main analysis. RESULTS: We observed a complex co-existence of obesogenic behaviors. Differences regarding the metabolic risk between clusters was only observed among the early-maturing adolescents, where the cluster with higher number of healthy behaviors but lower physical activity presented higher metabolic risk score. CONCLUSIONS: We conclude that physical activity has an important role on the association of clusters of obesogenic behaviors and metabolic risk in early-maturing adolescents.

Prevalence and sociodemographic correlates of physical activity and sitting time among South American adolescents: a harmonized analysis of nationally representative cross-sectional surveys.

BACKGROUND: To identify the prevalence and sociodemographic correlates of different domains of physical activity (PA) and higher sitting time among South American adolescents. METHODS: Data from national surveys of 11 South American countries were analyzed, and comprised information on 166,901 adolescents. PA (≥ 60 min/day of moderate-vigorous PA), physical education classes (PEC) (≥ 3 classes/wk), active commuting to school (≥ 1 d/wk), and higher sitting time (≥ 3 h/d) were self-reported. Sociodemographic correlates, such as gender, age, and food security status were explored using a random effect meta-analysis for logistic parameters. RESULTS: Recommended PA ranged between 7.5% (Brazil) and 19.0% (Suriname). Peru (2.2%) and Guyana (43.1%) presented the lowest prevalence of PEC and active commuting to school, respectively. Higher sitting time was less prevalent in Bolivia (24.6%) and more prevalent in Argentina (55.6%). Compared to girls, boys were more prone to reach recommendations for PA [OR = 1.94(1.65;2.28)]; to reach ≥ 3 PEC [OR = 1.17(1.04;1.33)] and to be active in commuting to school [(OR = 1.14(1.06;1.23)], but less prone to higher sitting time [OR = 0.89(0.82;0.96)]. Older adolescents had less odds of reach PA guidelines [OR = 0.86(0.77; 0.97)] and accumulated higher sitting time [OR = 1.27(1.14;1.41)]. Adolescents with food insecurity reported more PEC [OR = 1.12(1.04;1.21)] and active commuting to school [OR = 1.12(1.02;1.22)] but had less higher sitting time than their food security pairs [OR = 0.89(0.81;0.98)]. CONCLUSIONS: Few adolescents reach the PA recommendation. Actions aiming the promotion of PA and the reduction of sitting time must consider girls and older adolescents as target groups, as well as the specifics of each country.

Association of public physical activity facilities and participation in community programs with leisure-time physical activity: does the association differ according to educational level and income?

BACKGROUND: Our aim was to analyze the association of the presence of public physical activity (PA) facilities and participation in public PA programs with leisure-time PA, with an emphasis on the moderating role of educational level and income. METHODS: We used data of 88,531 adults (46,869 women), with a mean age of 47.2 ± 17.1y, from the 2019 Brazilian National Health Survey. Leisure-time PA (dichotomized considering 150 min/week), the presence of a public PA facility near the household (yes or no), participation in public PA programs (yes or no), educational level (divided into quintiles) and per capita income (divided into quintiles) were all self-reported through interviews. Adjusted logistic regression models were used for the analyses. RESULTS: The presence of public PA facilities near the household and the participation in public PA programs were associated with higher leisure-time PA among all quintiles of income and educational level. However, multiplicative interactions revealed that participating in PA programs [Quintile (Q)1: OR: 13.99; 95%CI: 6.89-28.38 vs. Q5: OR: 3.48; 95%CI: 2.41-5.01] and the presence of public PA facilities near the household (Q1: OR: 3.07; 95%CI: 2.35-4.01 vs. Q5: OR: 1.38; 95%CI: 1.22-1.55) were more associated with higher odds of being active in the leisure-time among the lowest quintile of educational level. CONCLUSIONS: The presence of public PA facilities and participation in public PA programs are environmental correlates that may be relevant for designing effective public health interventions to reduce social inequalities in leisure-time PA among adults in low-income areas.

Does stressful workplace characteristics moderate or confound the association between occupational physical activity and elevated depressive symptoms? A large study including 36,442 adults.

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.

Correlates of screen-based behaviors among adults from the 2019 Brazilian National Health Survey.

We aimed to investigate correlates of TV viewing and other types of screen-based behaviors in a nationally representative sample of Brazilian adults. In the 2019 Brazilian National Health Survey (including 88,509 adults), TV viewing time and other types of screen behaviors (computer, tablet, and cellphone use) were self-reported and different geographical, sociodemographic, behavioral, and health status factors were investigated as potential correlates. Multinomial logistic regression models were used for the main analyses. Living in capital cities, urban areas, being unemployed, high consumption of soft drinks, obesity, and elevated depressive symptoms were each associated with more TV viewing and more time using other types of screens. There were differential associations between TV viewing and the use of other types of screen across age and socioeconomic variables. For instance, younger adults have a more diverse portfolio of screen time than older adults. To conclude, levels of screen-based behaviors vary by geographical, sociodemographic, behavioral, and health status characteristics. Interventions should focus on high-risk population groups and may benefit from targeting specific sedentary behaviors of interest.

Time Trends and Sociodemographic Inequalities in Physical Activity and Sedentary Behaviors Among Brazilian Adults: National Surveys from 2003 to 2019.

BACKGROUND: The authors analyzed time trends and sociodemographic inequalities in different physical activity and sedentary behavior domains between 2003 and 2019. METHODS: A secondary analysis of data from 5 cross-sectional Brazilian epidemiological surveys (World Health Survey-2003, National Household Sample Survey-2008/2015, and Brazilian Health Survey-2013/2019) conducted among a nationally representative sample of Brazilian adults. The authors used data on different domains of physical activity (leisure, commute, total transport, and total physical activity) and sedentary behavior (TV viewing and other types of screens) that were available in the different surveys. Gender, age group, country region, ethnicity, type of area and city, and quintiles of income and educational achievement were used as sociodemographic correlates. RESULTS: The prevalence of leisure-time physical activity increased over time (2008: 7.0% vs 2019: 26.5%). There was also an increased trend of social inequality in leisure-time physical activity. A trend of reduction was observed for active commuting (2008: 35.0% vs 2019: 21.8%), while total transport physical activity was stable (2013: 49.5% vs 2019: 49.6%). Directions of findings were opposite for sedentary behavior, with reduced trend for >3 hours per day of TV viewing (2008: 34.8% vs 2019: 21.8%) and increased trend for >3 hours per day of other types of screen time (2008: 6.4% vs 2019: 22.2%). CONCLUSION: A positive trend exists in leisure-time physical activity, but there was also an increase in social inequalities for physical activity in Brazil.