Background: The interaction between physical activity (PA), diet, and sedentary behavior (SB) plays an important role on health-related outcomes. This scoping review (Prospero CRD42018094826) aims to identify and appraise clusters of PA, diet, and SB among youth (0–19 years) according to country income. Methods: Five databases were searched. Fifty-seven articles met the inclusion criteria. Results: Fifty-five cluster types were identified, with greater variety in high-income than lower income countries. The most prevalent profiles were “High SB and consumption of sugar, salt, and beverages (SSB)” (n = 17) and “High PA” (n = 13–5), both of which presented in all income countries. The healthiest profile, “High PA and fruit and vegetables (F&V); Low SB and SSB” (n = 12), was present in upper-middle and high-income countries, while the unhealthiest “Low PA and F&V; High SB and SSB” (n = 6) was present only in high-income countries. Conclusions: High SB and unhealthy diet (SSB) were more prevalent in clusters, mainly in high-income countries. The results support the need for multi-component actions targeting more than one behavior at the same time.

Resumo Objetivo: Analisar os indicadores sociodemográficos associados ao engajamento em atividade física (AF) nos domínios do lazer, do deslocamento, doméstico e do trabalho, em adultos brasileiros. Métodos: Estudo transversal com dados secundários da Pesquisa Nacional de Saúde (PNS) de 2019. Os fatores associados ao engajamento em AF foram analisados por regressão logística. Resultados: O estudo envolveu 88.500 adultos brasileiros com idade média de 45 ± 17,5 anos. Jornadas de trabalho mais longas [odds ratio (OR) = 0,74; IC95% 0,66;0,82; > 40h vs. ≤ 20h)] e sexo feminino (OR = 0,67; IC95% 0,63;0,71) associaram-se a menores chances de engajamento em AF no lazer. Maior renda (OR = 3,20; IC95% 2,79;3,67; > 5 vs. ≤ salário mínimo) e escolaridade (OR = 3,01; IC95% 2,74;3,32 - superior completo vs. fundamental incompleto) foram positivamente associadas à AF no lazer. Conclusão: Determinantes socioeconômicos foram fortemente relacionados ao engajamento em AF, sugerindo um padrão de iniquidade marcado pela necessidade de sobrevivência, que se reproduz socialmente.

This study aimed to investigate whether attitudes towards body weight dissatisfaction is associated with perceived health and impairments in sleep among a national population-based sample of Brazilian adolescents. This is a cross-sectional data from the 2015 National School-Based Health Survey (PeNSE). A total of 100.182 students (70.8% were between 14 to 15) in ninth-grade, enrolled in public and private schools were eligible for data analysis. Variables were measured using a questionnaire and binary logistic regression was used. There was association between attitudes towards body weight dissatisfaction and perceived health (not controlling weight = OR: 2.19, 95%CI: 2.00-2.40; trying to lose = OR: 1.90, 95%CI: 1.75-2.05; gain = OR: 2.22, 95%CI: 2.01-2.46; maintain = OR: 1.81, 95%CI: 1.54-2.14). Adolescents were also more likely to present impairments in sleep (not controlling weight = OR: 1.21, 95%CI: 1.11-1.32; trying to lose = OR: 1.16, 95%CI: 1.08-1.25; gain = OR: 1.43, 95%CI: 1.28-1.61; maintain = OR: 1.43, 95%CI: 1.22-2.68). Dissatisfaction is an additional concern in the daily life of adolescents, which is associated to depreciation of the quality of sleep and decrement of psychological well-being.

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 (β = − 6.4, 95% CI: − 6.1;13.4), game time (β = − 8.2, 95% CI: − 7.2;10.8), computer time (β = 1.1, 95% CI: − 6.3;18.5), smartphone time (β = − 10.2, 95% CI: − 32.5;12.1), screen time (β = − 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 (β = − 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).