Psychosocial mediators and moderators of a school-based physical activity intervention among Brazilian adolescents.

School-based interventions are needed due to the low levels of physical activity (PA) in adolescents. The aim is to examine the mediation effects of psychosocial factors (attitude, self-efficacy, social support from parents, friends, general teachers, and PE teachers, and environment school perception) and moderation by sex, school grade, and socioeconomic level of a school-based PA intervention on the PA practice among adolescents. The Movimente Programme is a randomised controlled trial at schools in southern Brazil (n = 921 adolescents). Strategies included teacher training, educational actions, and environmental changes. Adolescents self-reported their weekly PA. Potential psychosocial mediators and moderators were investigated through validated questionnaires in a Brazilian sample. The product of the coefficients with percentile bootstrapping 95% confidence interval was performed. The Movimente Programme was related to positive changes in adolescents' perception of the school environment and social support from general and physical education teachers. Most psychosocial variables (attitude, self-efficacy, social support from friends, and social support from teachers) were associated with PA, but none mediated the impact of the Movimente Programme on PA. Results varied according to sex and school grade. The Movimente Programme increased the adolescents' perception of the school environment and social support from teachers, but no mediators were confirmed.

Screen Time Correlates of Bullying Perpetration and Victimization in Brazilian Adolescents.

This study is an investigation of the associations of time spent in different screen time activities with bullying among Brazilian adolescents. In this cross-sectional study, adolescents answered questions related to bullying in the past 30 days and reported the weekly volume of screen time spent studying, working, watching videos, playing video games, and using social media applications. Multilevel logistic regression models were used. Our results indicate that higher social media use was associated with higher odds of bullying victimization among males but not females. Excessive use of screen time for work and social media purposes was associated with a higher likelihood of bullying victimization.

Cross-Sectional Associations of Screen Time Activities With Alcohol and Tobacco Consumption Among Brazilian Adolescents.

Objectives: Little is known about the association between specific types of screen time and adolescents' substance use. Thus, this study aimed to investigate the associations between screen time for studying, working, watching movies, playing games, and using social media and frequency of alcohol and tobacco use. Methods: In this cross-sectional study, Brazilian adolescents answered survey questions related to frequency of tobacco and alcohol consumption, and reported their daily volume of five types of screen time. Multilevel ordered logistic regression models were performed. Results: Each 1-hour increase in ST for studying was associated with 26% lower odds of smoking (OR = 0.74; 95% CI: 0.61-0.90) and 17% lower odds of drinking alcohol (OR = 0.83; 95% CI: 0.76-0.91) in the past 30 days. The increase of 1 hour of social media use was associated with 10% greater odds of smoking (OR = 1.10; 95% CI: 1.02-1.18) and a 13% greater chance of consuming alcohol (OR = 1.13; 95% CI: 1.08-1.18) in the past 30 days. Conclusion: The association between screen time and substance use appears to be type-specific. Future longitudinal research is needed to explore causal relationships.

Physical Education for Health Among School-Aged Children and Adolescents: A Scoping Review of Reviews.

BACKGROUND: Physical education (PE) classes in schools are considered relevant to implement interventions, especially focused on physical activity. However, evidence overviews on how PE classes contribute to general health (physical, social, affective, and cognitive domains) are still needed. Thus, we summarized evidence synthesis (eg, systematic reviews) that addressed the contribution of PE classes to the health of school-aged children and adolescents. METHODS: We performed a scoping review with searches in 8 databases and institutional websites to find systematic reviews or meta-analyses that answered this review's research question. Data charting form included the identification of the study, health outcomes, and PE classes' strategies (policies and environment, curriculum, appropriate instructions, and evaluation). An interactive process was performed to build the evidence summary. RESULTS: An initial search yielded 2264 titles, and 49 systematic reviews (including 11 with meta-analysis) were included in this review. Most documents reported the main benefits of PE classes on physical domain outcomes (eg, physical activity, cardiorespiratory fitness, body mass index, and fundamental motor skills). However, evidence on the benefits of PE classes in affective (eg, enjoyment, motivation, and autonomy); social (eg, cooperation, problem-solving, and making friends); and cognitive (eg, memory, attention, concentration, and decision making) domains were found. Strategies on PE classes for health benefits were highlighted. CONCLUSIONS: These elements were detailed in the evidence summary, which may be considered to guide researchers, teachers, and practitioners to define research and practice priorities on PE class interventions for health in the school context.

National policies on physical activity from 64 countries with different economies: a scoping review with thematic analysis.

In 2018, the World Health Organization (WHO) launched a Global Action Plan on Physical Activity (PA), which included 20 policy actions for creating active societies, environments, people and systems. The objective of this scoping review was to summarize the themes/contents of national PA policies/plans conforming to the WHO's proposals and the country's economy. This review followed Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines for scoping reviews. A systematic search of electronic databases (Web of Science, Medline/PubMed, LILACS, PsycINFO, Scopus and SPORTDiscus) and 441 government documents/websites from 215 countries/territories was conducted (February 2021). Documents on national-level policies, published in English, Spanish and Portuguese since 2000, were eligible. The information on content and structure was systematically extracted and summarized into dimensions proposed by the WHO: active societies, environments, people and systems. The search identified 888 article references and 586 potentially relevant documents. After the screening, 84 policy documents from 64 countries were eligible. Most documents (n = 46) provided detailed PA policies/plans amid other health topics (e.g. non-communicable diseases, named 'general documents'), and 38 were PA-specific. The content analysis merged 54 visions, 65 missions, 108 principles, 119 objectives, 53 priorities, 105 targets, 126 indicators and 1780 actions/strategies from 38 PA-specific and 46 general documents. Among the PA-specific documents, the active system's dimension was the most contemplated in the principles (n = 43), priorities (n = 51) and action/strategies (n = 530) elements. At the same time, the objectives (n = 39), targets (n = 52) and indicators (n = 58) presented contents more frequently related to the active people dimension. For the general documents, all principles (n = 4), objectives (n = 14) and priorities (n = 7) were related to the dimension of active people, while target (n = 51), indicator (n = 53) and actions/strategies (n = 292) elements presented content related to all dimensions. The increase in countries with national PA policies/plans should be followed by improving the current ones because important dimensions seem to be not considered in these documents. This will facilitate a global PA agenda that considers the complexity and multidimensionality of PA promotion.

Mapping recommended strategies to promote active and healthy lifestyles through physical education classes: a scoping review.

BACKGROUND: Understanding which strategies have been recommended for the promotion of active and healthy lifestyles through physical education (PE) classes can guide PE policies and practice. Therefore, we summarized worldwide recommendations regarding strategies for PE classes that have aimed to promote active and healthy lifestyles among school-aged children and adolescents. METHODS: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines were utilized. A literature search was carried out in June 2020 in eight peer-reviewed literature databases, in addition to searches in institutional and personal libraries. The eligibility criteria included any online document that included recommendations targeting any dimension of PE classes (e.g., policy and environment, curriculum, appropriate instruction, student assessment, and strategies that interact with PE) published since 2000. RESULTS: In total, 2,408 potentially eligible documents were screened. Of these, 63 were included in the final analysis. The recommended strategies were as follows: six referred to policy and environment (valuing PE, higher frequency and duration of classes, inclusive PE classes, mandatory daily classes, evaluation of PE classes, and qualified teachers), five to curriculum (structure, type of content, cross-cutting themes, and components that improve PE classes), four to appropriate instruction (promotion of physical activities, inclusion of social issues, employment of the use of innovative technologies, and organization of the teaching-learning process), and three to student assessment (understanding human movement concepts, evaluation of contents, and assessment methods to develop an active and healthy lifestyle). CONCLUSION: Twenty-one strategies recommended for PE classes linked to five dimensions aimed at different target populations were identified. Over half were linked to the dimensions of policy and environment and appropriate instruction. PE is recommended to be mandatory and valued at all educational levels, with weekly frequency that contributes to an active and healthy lifestyle. This review shows that guaranteeing different experiences beyond sports, improving social inclusion, using innovative technologies, and providing adequate materials and spaces to be important challenges and ways to guide policies, programs, and new research in this field of knowledge. Open Science Framework Registration: https://osf.io/harwq/.

Clustering of Physical Activity, Sleep, Diet, and Screen-Based Device Use Associated with Self-Rated Health in Adolescents.

BACKGROUND: Little is known about how the interplay among health-related behaviors impacts self-rated health (SRH). We examined the clustering of physical activity (PA), sleep, diet, and specific screen-based device use, and the associations between the emergent clusters and SRH among Brazilian adolescents. METHOD: The data used in this cross-sectional study were from the baseline of the Movimente Program. Self-reported data were analyzed. SRH was recorded as a 5-point scale (from poor to excellent). Daily duration of exposure to the computer, the television, the cell phone, and games; PA; sleep; and weekly consumption of fruits and vegetables and ultra-processed foods were included in a Two-Step cluster analysis. Multilevel ordered logistic regressions assessed the associations between the clusters and SRH. RESULTS: The data of 750 students (girls: 52.8%, 13.1 ± 1.0 years) were analyzed. Good SRH was more prevalent (52.8%). Three clusters were identified: the Phubbers (50.53%; characterized by the longest cell phone use duration, shortest gaming and computer use, lowest PA levels, and low consumption of fruits and vegetables), the Gamers (22.80%; longest gaming and computer use duration, PA < sample average, highest intake of ultra-processed foods), and a Healthier cluster (26.67%; physically active, use of all screen-based devices < sample average, and healthier dietary patterns). For both Gamers (-0.85; 95% CI -1.24, -0.46) and Phubbers (-0.71; 95% CI -1.04, -0.38), it was found a decrease in the log-odds of being in a higher SRH category compared with the Healthier cluster. CONCLUSION: Specific clusters represent increased health-related risk. Assuming the interdependence of health-related behaviors is indispensable for accurately managing health promotion actions for distinguishable groups.

The conception, content validation, and test-retest reliability of the Questionnaire for Screen Time of Adolescents (QueST).

OBJECTIVE: To analyze the content validity and the test-retest reliability of the Questionnaire for Screen Time of Adolescents (QueST). METHODS: A study was conducted with high school adolescents from Southern Brazil enrolled in public education (2019). The QueST measures screen time across five constructs: studying, working/internship-related activities, watching videos, playing games, using social media/chat applications. Content validation involved consulting with experts and adolescents to evaluate whether the five constructs were clear and representing screen time behaviors, all ratings were quantified. The experts' evaluation provided Content Validity Indexes (CVI) for clarity and representativeness of the questionnaire. Students answered the QueST twice (1-week apart), and differences between applications were verified. Test-retest reliability was assessed using Intraclass Correlation Coefficients (ICC) and Bland-Altman analyses. RESULTS: Among the experts, the CVI indicated 94% and 98% of clarity and representativeness, respectively. All items were highly clear for at least 70% of the students. Test-retest reliability was assessed with 104 students (16.3 ±â€¯1.02 years; 66.3% girls). The ICC ranged from 0.41 (95%CI 0.24-0.56) for videos to 0.76 (95%CI 0.66-0.83) for social media/chat applications on weekdays; and from 0.24 (95%CI 0.04-0.41) for videos to 0.67 (95%CI 0.54-0.77) for social media/chat applications on weekends. The lowest mean difference was -4.6 min for working on weekdays, while the highest was 40.6 min for videos on weekends. CONCLUSIONS: The QueST proved to be fair to excellent for measuring different screen time constructs. However, the item of videos (weekends) showed poor stability. The QueST demonstrates satisfactory content validity attested by the experts and adolescents.

Effectiveness and moderators of a multicomponent school-based intervention on screen time devices: the Movimente cluster-randomized controlled trial.

BACKGROUND: Interventions targeting reduce screen time in adolescents are urgently needed, mainly in low and middle-income countries because of the lack of evidence. Thus, the aims of the study were to examine the effect of a cluster-randomized controlled trial on screen time (ST) devices among Brazilian adolescents and to identify possible moderators. METHODS: Movimente was a multicomponent school-based intervention that was performed in 2017 and consisted of teacher training, education curriculum, and environmental improvements. Baseline and post-intervention assessments (over one academic year) were conducted with students aged 10-16 years at baseline (baseline n = 921, [n = 538 intervention group; n = 383 control group]). A self-report questionnaire was used to measure daily minutes of device specific screen time (TV, computer, video games and smartphone) and demographic variables. Linear mixed models were used to examine intervention effects and an exploratory moderation analysis (sex, grade and socioeconomic status) was performed. RESULTS: The intervention had no significant effects on TV time (ß = - 6.4, 95% CI: - 6.1;13.4), game time (ß = - 8.2, 95% CI: - 7.2;10.8), computer time (ß = 1.1, 95% CI: - 6.3;18.5), smartphone time (ß = - 10.2, 95% CI: - 32.5;12.1), screen time (ß = - 12.8, 95% CI: - 50.5;24.8), meeting screen time guidelines (OR: 1.29, 95% CI: 0.65,2.57) and meeting screen time guidelines with smartphone (OR: 1.66, 95% CI: 0.37,7.40). There was a significant intervention effect on reducing TV time (ß = - 37.1, 95% CI: - 73.0, - 1.3) among 8th grade students only. CONCLUSIONS: The Movimente intervention was effective only for TV time among 8th grade students. Understanding how school-based interventions can improve adolescents' device specific screen time across age groups is needed. Future strategies should cover all screen-based devices. Further, there is a need for more studies in low- and-middle income countries to assist in the development of effective strategies. TRIAL REGISTRATION: Clinicaltrials.gov identifier NCT02944318 (25/10/2016).

Is knowledge of screen time guidelines associated with stages of behavior change for television viewing among adolescents?

It is unknown whether knowledge of guidelines for television (TV) viewing translate into behavior change for TV time among adolescents. The purpose of the present study is to verify whether knowledge of TV recommendations (spending <2 hr/day watching TV) is associated with the stages of behavior change related to TV viewing among adolescents. Schoolchildren (11-16 years) from six schools were recruited. Their knowledge of TV guidelines (correct [<2 hr/day], overestimated [<1 hr/day or never watch TV], underestimated [<3hr/day or watch TV whenever they wanted], and do not know [response option]) and stages of behavior change related to TV (precontemplation, contemplation, preparation, action, and maintenance) were assessed by a questionnaire. Multinomial logistic regression was used to test the association between knowledge and stages of behavior change. A total of 792 adolescents (53% girls) participated, of whom 45% were in the precontemplation stage, while 35% underestimated and 18% did not know the TV guidelines. Those who overestimated the guidelines had higher odds of being in the maintenance stage than did those who knew the recommendations correctly (odds ratio [OR] 2.06), while those who underestimated the guidelines had lower odds of being in the maintenance (OR 0.22) and any other stage compared to those who were aware of the recommendations (the precontemplation stage was the reference). Underestimating the guidelines was associated with being in the precontemplation stage, while overestimating them was associated with the maintenance stage. Interventions should test whether increasing knowledge can help shifting those in the precontemplation and contemplation toward action and maintenance.

Mediating role of screen media use on adolescents' total sleep time: A cluster-randomized controlled trial for physical activity and sedentary behaviour.

BACKGROUND: The present study aimed to analyse the effect of an intervention for increasing physical activity (PA) and reducing sedentary time on adolescents' total sleep time (TST) and to examine whether the effect on adolescents' TST was mediated by the intervention changes on screen-based sedentary time. METHODS: This study was a school-based cluster-randomized controlled trial conducted with Brazilian adolescents in Grades 7 to 9 (in 2017). Three schools participated in each of the intervention group (IG) and control group (CG). The intervention involved the following three strategies designed to increase PA and reduce sedentary time: (a) teacher training, (b) environmental improvements, and (c) health educational component. TST and screen-based sedentary time (television use, cell phone use, playing on computer/video game, and computer use that is not for gaming purposes) on weekdays and weekends were assessed using a standardized questionnaire. Generalized linear mixed models were conducted to verify the effect of the intervention on TST. Mediation analyses were used to examine the mediator role of changes in screen-based sedentary time in the relationship between the intervention and TST. RESULTS: Overall, 597 students participated in this study (mean age: 13.0 ± 1.0 years; IG: n = 351; CG: n = 246). The intervention had no effect on TST on weekdays and weekends. Adolescents in the IG were more likely to report ≤2 hr of television viewing per day on weekdays at follow-up. Mediated effects by screen media use were not significant. CONCLUSIONS: The school-based intervention for increasing PA and reducing sedentary time had no effect on adolescents' TST.

Moderating effect of gross family income on the association between demographic indicators and active commuting to work in Brazilian adults.

OBJECTIVE: To investigate the moderating effect of gross family income on the association between demographic indicators and active commuting to work in Brazilian adults. METHODS: Secondary analysis of the survey "Lifestyle and leisure habits of industry workers" (n=46,981), conducted in 24 Brazilian states (2006-2008). Self-reported information was collected with a previously tested questionnaire. Crude and adjusted logistic regression models were applied to analyze the association between sociodemographic variables (sex, age, marital status, number of children, education, country area and company size) and active commuting to work in different strata of gross family income. To test the moderating effect, an interaction analysis was applied. RESULTS: The proportion of active commuters among low-, medium- and high-income workers was 40.7% (95%CI:40.0%;41.5%), 27.0% (95%CI:26.3;27.6%) and 11.1%, (95%CI:10.5%;11.7%), respectively. The moderating effect of gross family income was confirmed. Men were more likely (OR:1.22 95%CI:1.12;1.32) to commute actively than women among low-income individuals. Active commuting was less likely among older workers in low-(OR30-39:0.90 95%CI: 0.83;0.98; OR≥40: 0.76 95%CI: 0.68;0.85) and medium-income strata (OR30-39:0.87 95%CI:0.80;0.95; OR≥40:0.84 95%CI:0.76;0.93) and among married individuals in high-income strata (OR:0.72 95%IC:0.61;0.84). Adults with lower education (ORhigh:10.80 95%CI:8.47;13.77), working in the south (ORhigh:1.93 95%CI:1.53;2.44) and in small companies (ORlow:2.50 95%CI:2.28;2.74) were more likely to commute actively; however, the magnitude of these associations differed at each income strata. CONCLUSION: There was an inverse association between gross family income and active commuting. Gross family income acts as a moderator of the association between demographic indicators and active commuting.