RESUMEN

OBJECTIVE: Mapping how physical activity (PA) is considered in Primary Health Care (PHC) is essential for aiding planning and management of policies and programs within the Brazilian Unified Health System (SUS). The aim of this study was to map PA-related measures and indicators that are considered in the surveillance, monitoring and evaluation of services and users from the PHC/SUS. METHOD: This is a scoping review with searches conducted in January 2024 on electronic portals related to PHC/SUS. A "snowball" strategy was used to access government documents/reports and their complementary references. Documents were eligible whether they: 1) were government materials; 2) aimed at health surveillance, monitoring/evaluation of services or users from PHC/SUS, and 3) reported PA-related measures or indicators (the behavior and their psychosocial and/or contextual correlates). The selection and extraction process were performed in pairs. A thematic synthesis (evidence map) was applied. RESULTS: Of the 239 potentially eligible documents, 95 were included and summarized according to four groups: health surveillance (n=39), indicators of health plans/policies (n=7), monitoring/evaluation of users (n=34) and services (n =15) from PHC/SUS. A total of 69 measures and 38 different indicators were addressed in health surveillance. The monitoring/evaluation of services includes general- and specific PA programs in PHC/SUS (17 and 13 indicators, respectively). User monitoring/evaluation included indicators aimed at people from different groups (e.g., people with chronic diseases) and their application, primarily in initial examinations and therapeutic planning. CONCLUSIONS: These findings reinforce a call for government actions aiming to qualify the acquisition and implementation of PA-related health information; this may be one the main pathways of strengthening PA promotion on the SUS agenda.

OBJETIVO: Compreender como a atividade física (AF) é contemplada em vigilância, monitoramento e avaliação de serviços e de usuários da Atenção Primária à Saúde (APS) é necessário para auxiliar nas decisões de planejamento e gestão do Sistema Único de Saúde (SUS). O objetivo deste estudo é mapear medidas e indicadores relacionados à AF que são considerados nas estratégias de vigilância, monitoramento e avaliação de serviços e usuários da APS/SUS. MÉTODO: Revisão de escopo com buscas realizadas em janeiro de 2024 em portais eletrônicos relacionados à APS/SUS, usando a estratégia de "bola de neve" e a leitura das referências complementares. Documentos foram elegíveis quando representavam materiais governamentais que eram direcionados para vigilância em saúde, monitoramento/avaliação de serviços e monitoramento/avaliação de usuários na APS/SUS e que continham medidas ou indicadores relacionados à AF (o comportamento em si, global ou por domínios, e seus correlatos psicossociais e/ou contextuais). O processo de seleção e extração foi realizado por pares e uma síntese com representações temáticas das evidências foi realizada. RESULTADOS: Dos 239 documentos potencialmente elegíveis, 95 foram incluídos, abordando vigilância em saúde (n=39), indicadores de planos/políticas de saúde (n=7), monitoramento/avaliação de usuários (n=34) e de serviços (n=15) da APS/SUS. Um total de 69 medidas e 38 indicadores foram contemplados na vigilância. O monitoramento/avaliação de serviços contemplou programas gerais e específicos da AF na APS/SUS (17 e 13 indicadores, respectivamente). O monitoramento/avaliação de usuários incluiu indicadores voltados aos diferentes grupos populacionais (ex., pessoas com doenças crônicas) e sua aplicação, principalmente, em exames iniciais e planejamento terapêutico. CONCLUSÕES: Estes achados reforçam uma chamada para ações governamentais que qualifiquem a aquisição e a implementação das informações em saúde relacionadas à AF, como forma de fortalecer a AF na agenda do SUS.

RESUMEN

This article aims to identify the association of sociodemographic factors and lifestyle behaviours with bullying perpetration and victimization among high school students. The adolescents (n=852) answered a questionnaire about bullying (victims and perpetrators), sociodemographic factors (sex, age, maternal education, and participant's work status), tobacco use, alcohol use, illicit drug experimentation, physical activity, screen time, and sleep duration. Multilevel logistic regression models were performed. Older adolescents were less likely to be victims of bullying. Females were less likely to be perpetrators or victims of bullying. Adolescents who were working were more likely to be involved in bullying in both forms. Participation in non-sport activities and alcohol consumption were associated with higher odds of bullying victimization. We have identified specific populational subgroups that are more susceptible to being victims and/or perpetrators of bullying, which could support tailor-specific interventions to prevent bullying.

Asunto(s)

RESUMEN

Abstract This article aims to identify the association of sociodemographic factors and lifestyle behaviours with bullying perpetration and victimization among high school students. The adolescents (n=852) answered a questionnaire about bullying (victims and perpetrators), sociodemographic factors (sex, age, maternal education, and participant's work status), tobacco use, alcohol use, illicit drug experimentation, physical activity, screen time, and sleep duration. Multilevel logistic regression models were performed. Older adolescents were less likely to be victims of bullying. Females were less likely to be perpetrators or victims of bullying. Adolescents who were working were more likely to be involved in bullying in both forms. Participation in non-sport activities and alcohol consumption were associated with higher odds of bullying victimization. We have identified specific populational subgroups that are more susceptible to being victims and/or perpetrators of bullying, which could support tailor-specific interventions to prevent bullying.

Resumo O objetivo deste artigo é identificar a associação de fatores sociodemográficos e comportamentos de estilo de vida com a perpetração do bullying e da vitimização entre os alunos do ensino médio. Os adolescentes (n=852) responderam a um questionário sobre bullying (vítimas e perpetradores), fatores sociodemográficos (sexo, idade, educação materna e status profissional dos participantes), uso de tabaco, uso de álcool, experimentação de drogas ilícitas, atividade física, tempo de tela e duração do sono. Modelos de regressão logística multinível foram realizados. Os adolescentes mais velhos eram menos propensos a serem vítimas de bullying. As mulheres tinham menos probabilidade de serem perpetradoras ou vítimas de bullying. Os adolescentes que estavam trabalhando tinham maior probabilidade de estarem envolvidos em bullying em ambas as formas. A participação em atividades não esportivas e o consumo de álcool estavam associados a maiores probabilidades de vitimização por bullying. Identificamos subgrupos populacionais específicos que são mais suscetíveis a serem vítimas e/ou perpetradores de bullying, o que poderia apoiar intervenções específicas sob medida para evitar o bullying.

RESUMEN

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.

RESUMEN

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.

Asunto(s)

RESUMEN

Although there is consistent evidence of the beneficial effects of leisure physical activity (PA) on mental health, the role of PA in the domestic, transport, and occupational domains is inconclusive. This study aimed to analyze the relationship between domain-specific PA and depressive symptoms and examine whether the association is moderated by age in a representative sample of the Brazilian population. Cross-sectional data of 89,923 (52.4% female) individuals aged ≥15 years were analyzed. Depressive symptoms were assessed using the Patient Health Questionnaire-9. Physical activity (min/week) performed in different domains (domestic, transport, occupation, and leisure) was self-reported. Generalized additive models with penalized splines were used to explore associations. Lower leisure-time PA and higher levels of PA in the domestic, occupational, and transport domains at distinct PA thresholds were associated with higher depressive symptoms. Leisure PA, even at lower levels, was associated with lower depressive symptoms compared to no PA at all. The increase in depressive symptoms as a function of occupational PA was observed only at PA levels higher than 40 h/week. Although non-leisure PA levels were related to higher depressive symptoms among the total sample, higher domestic and transport PA levels were related to lower depressive symptoms among older adults. This study provides insights into the non-linearity and age-group dependence of the relationship between domain-specific PA and depressive symptoms in a middle-income country. The evidence suggests that care should be taken on recommending PA regardless of context or domain.

Asunto(s)

RESUMEN

PURPOSE: This study analyzed day-to-day estimates of bidirectional associations between sleep parameters and intensity-specific physical activity and assessed whether the timing of physical activity influences these relationships. METHODS: The sample was comprised of 651 high school students (51.2% female, 16.33 [1.0] y old) from southern Brazil. Physical activity and sleep were measured using accelerometers. Multilevel models were applied to test associations of nocturnal total sleep time, onset, and efficiency with moderate to vigorous and light (LPA) physical activity. RESULTS: Higher engagement in moderate to vigorous physical activity and LPA was associated with increased total sleep time, and this effect was greater when physical activity was performed in the morning. Morning and evening LPA were associated with increased sleep efficiency and reduced total sleep time, respectively. Practice of LPA in the morning leads to early sleep onset, whereas evening LPA was associated with later onset. Higher total sleep time and later sleep onset were associated with lower moderate to vigorous physical activity and LPA on the following day. However, higher sleep efficiency was associated with increased LPA. CONCLUSION: The relationship between sleep parameters and physical activity is bidirectional and dependent on physical activity intensity and timing.

Asunto(s)

RESUMEN

abstract This study aimed (1) to verify the relationship between the JIF, Eigenfactor, Citescore and SJR metrics of Physical Education journals throughout Qualis 2013-2016; and (2) to analyze their associations with the field-concerned Web-Qualis grades (based on the 2013-2016 quadrennium criteria). WebQualis grades, which refers to 2015-2018 data, were acquired by accessing officially available data. The scientometrics Journal Impact Factor (JIF), Citescore, Eigenfactor, and Scimago Journal Rank (SJR) for the years 2013 to 2016 and 2018 were extracted from official Clarivate Analytics and Elsevier sources. Approximately half of Physical Education journals included in the 2018 WebQualis database were indexed in Web of Science Collection and Scopus databases. The main results demonstrated high and stable appeared bivariate correlations between all scientometrics from 2013 to 2016. Both JIF, Eigenfactor, Citescore and SJR were associated with WebQualis grades. However, better adjustment of parameters was observed in the model that included SJR as the WebQualis predictor. The field normalized SJR appeared to better predict the WebQualis defined by the 2013-2016 Qualis criteria, which includes the adherence indicator. If researchers consider that distinct research areas are not equally weighted and require specific evaluation, as the authors suggest, use the normalized metrics to classify journals in Brazilian scenarium.

resumo O objetivo deste estudo foi verificar a relação entre as métricas JIF, Eigenfactor, Citescore e SJR de periódicos de Educação Física ao longo do Qualis 2013-2016; e (2) analisar suas associações com as classificações do Web-Qualis (critério de classificação do quadriênio 2013-2016). As classificações do WebQualis, referentes aos dados de 2015-2018, foram adquiridas acessando fontes de dados oficiais. As métricas Journal Impact Factor (JIF), Citescore, Eigenfactor e Scimago Journal Rank (SJR) para os anos de 2013 a 2016 e 2018 foram extraídas de fontes oficiais da Clarivate Analytics e Elsevier. Aproximadamente metade dos periódicos de Educação Física incluídos no banco de dados WebQualis de 2018 foram indexados nos bancos de dados Web of Science Collection e Scopus. Os principais resultados demonstram altas e estáveis correlações bivariadas entre todas as métricas ​​de 2013 a 2016. Ambos o JIF, o Eigenfactor, o Citigenore e o SJR foram associados à classificação do WebQualis. No entanto, melhores parâmetros de ajuste foram observados no modelo que incluiu a SJR como preditor do WebQualis. O SJR normalizado por área pareceu melhor predizer o WebQualis definido pelo critério Qualis de 2013 de 2016, que inclui o indicador de aderência. Se os pesquisadores considerarem que áreas distintas de pesquisa não são igualmente ponderadas e requerem avaliação específica, como sugestão dos autores, a utilização das métricas normalizadas para classificar os periódicos no cenário brasileiro.

RESUMEN

OBJECTIVE: To examine the socioeconomic indicators associated with engagement in physical activity (PA) in the leisure-time, transportation, domestic and occupational domains, in Brazilian adults. METHODS: Cross-sectional study with secondary data from the National Health Survey (PNS), conducted in 2019. The factors associated with engagement in PA were analyzed using logistic regression. RESULTS: The study involved 88,500 Brazilian adults with mean age of 45 ± 17.5 years old. Longer working hours [odds ratio (OR) = 0.74; 95%CI 0.66;0.82; > 40h vs. ≥ 20h] and female sex (OR = 0.67; 95%CI 0.63;0.71) were associated with lower chances of engaging in leisure-time PA. Higher income (OR = 3.20; 95%CI 2.79;3.67; > 5 vs. ≥ minimum wage) and education level (OR = 3.01; 95%CI 2.74;3.32 - complete higher education vs. incomplete elementary school) were positively associated with leisure-time PA. CONCLUSION: Socioeconomic correlates were strongly related to engagement in PA in Brazilian adults, suggesting a pattern of inequity marked by the need for survival, which is socially reproduced.

Asunto(s)

RESUMEN

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.

Asunto(s)

RESUMEN

BACKGROUND: Physical activity, sleep, and sedentary behaviors compose 24-h movement behaviors and have been independently associated with depressive symptoms. However, it is not clear whether it is the movement behavior itself or other contextual factors that are related to depressive symptoms. The objective of the present study was to examine the associations between self-reported and accelerometer-measured movement behaviors and depressive symptoms in adolescents. METHODS: Cross-sectional data from 610 adolescents (14-18 years old) were used. Adolescents answered questions from the Center for Epidemiological Studies Depression scale and reported time spent watching videos, playing videogames, using social media, time spent in various physical activities, and daytime sleepiness. Wrist-worn accelerometers were used to measure sleep duration, sleep efficiency, sedentary time, and physical activity. Mixed-effects logistic regressions were used. RESULTS: Almost half of the adolescents (48%) were classified as being at high risk for depression (score ≥20). No significant associations were found between depressive symptoms and accelerometer-measured movement behaviors, self-reported non-sport physical activity, watching videos, and playing videogames. However, higher levels of self-reported total physical activity (odd ratio (OR) = 0.92, 95% confidence interval (95%CI): 0.86-0.98) and volume of sports (OR = 0.88, 95%CI: 0.79-0.97), in minutes, were associated with a lower risk of depression, while using social media for either 2.0-3.9 h/day (OR = 1.77, 95%CI: 1.58-2.70) or >3.9 h/day (OR = 1.67, 95%CI: 1.10-2.54), as well as higher levels of daytime sleepiness (OR = 1.17, 95%CI: 1.12-1.22), were associated with a higher risk of depression. CONCLUSION: What adolescents do when they are active or sedentary may be more important than the time spent in the movement behaviors because it relates to depressive symptoms. Targeting daytime sleepiness, promoting sports, and limiting social media use may benefit adolescents.

Asunto(s)

RESUMEN

BACKGROUND: Physical activity is associated with depression; however, the influence of physical activity type on this association remains poorly explored. We aimed to investigate the association between various types of leisure-time physical activity and depression among a large and representative sample. METHODS: Data from the 2019 Brazilian National Health Survey were used (n = 88,522 adults aged between 18 and 107 years, 53% female). Depression was measured using the Patient Health Questionnaire-9; participants' leisure-time physical activity types were self-reported. A four-step hierarchical regression was applied, and the analyses were adjusted for several confounders. RESULTS: Active individuals had lower odds of depression (odds ratio [OR], 0.71; 95% confidence interval [CI], 0.62-0.81); however, only outdoor walking/running (OR, 0.70; 95% CI, 0.60-0.82), cycling (OR, 0.50; 95% CI, 0.34-0.74), and team sports (OR, 0.52; 95% CI, 0.42-0.66) were associated with lower odds of depression than inactivity. CONCLUSIONS: Physical activity type may be associated with mental health. The qualitative mechanisms of some physical activities seem to have greater capability than others to reduce depression. Causal inferences could not be made, however, our findings suggest that specific physical activities types have additional benefits that can be used in promoting mental health in clinical intervention and at a population level.

Asunto(s)

RESUMEN

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.

Objetivo: Analizar indicadores sociodemográficos asociados a realización de actividad física (AF) en dominios del ocio, desplazamientos, casa y trabajo, en adultos brasileños. Métodos: Estudio transversal con análisis secundario de datos de la Encuesta Nacional de Salud (PNS) de 2019. Factores asociados al compromiso en AF se analizaron mediante regresión logística. Resultados: Estudio involucró 88.500 adultos brasileños con edad promedio de 45 ± 17,5 años. Horas de trabajo más largas [odds ratio (OR) = 0,74; IC95% 0,66;0,82; > 40h vs. ≤ 20h], sexo femenino (OR = 0,67; IC95% 0,63;0,71) se asociaron con menores posibilidades de realizar AF en ocio. Mayor ingreso (OR = 3,20; IC95% 2,79;3,67; > 5 vs. ≤ salario mínimo) y nivel educacional (OR = 3,01; IC95% 2,74;3,32 - superior completo vs. fundamental incompleto) se asociaron positivamente con AF en ocio. Conclusión: determinantes económicos y sociales estuvieron fuertemente relacionados con la participación en AF, lo que sugieres un patrón de inequidad marcado por la necesidad de supervivencia, que se reproduce socialmente.

Objective: To examine the socioeconomic indicators associated with engagement in physical activity (PA) in the leisure-time, transportation, domestic and occupational domains, in Brazilian adults. Methods: Cross-sectional study with secondary data from the National Health Survey (PNS), conducted in 2019. The factors associated with engagement in PA were analyzed using logistic regression. Results: The study involved 88,500 Brazilian adults with mean age of 45 ± 17.5 years old. Longer working hours [odds ratio (OR) = 0.74; 95%CI 0.66;0.82; > 40h vs. ≥ 20h] and female sex (OR = 0.67; 95%CI 0.63;0.71) were associated with lower chances of engaging in leisure-time PA. Higher income (OR = 3.20; 95%CI 2.79;3.67; > 5 vs. ≥ minimum wage) and education level (OR = 3.01; 95%CI 2.74;3.32 - complete higher education vs. incomplete elementary school) were positively associated with leisure-time PA. Conclusion: Socioeconomic correlates were strongly related to engagement in PA in Brazilian adults, suggesting a pattern of inequity marked by the need for survival, which is socially reproduced.

Asunto(s)

RESUMEN

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.

Asunto(s)

RESUMEN

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).

Asunto(s)

RESUMEN

BACKGROUND: The objective of this study was to verify the reliability, discriminatory power and construct validity of the Kidscreen-27 questionnaire in Brazilian adolescents. METHODS: Adolescents that participated of the pilot study (210 adolescents; 52.9% boys; 13.7 years old) and of the baseline (816 participants; 52.7% girls; 13.1 years old) of the Movimente Project in 2016/2017 composed the sample of the present study. This project was carried out in six public schools in the city of Florianópolis, Santa Catarina, Brazil. Test-retest reproducibility was assessed by the intraclass correlation coefficient and Gwet coefficient; internal consistency through McDonald's Omega; Hankins' Delta G coefficient verified the scale's discriminatory power and; confirmatory factor analysis to assess construct validity. RESULTS: Reproducibility values ranged from 0.71 to 0.78 for the dimensions (ICC), and ranged from 0.60 to 0.83 for the items (Gwet). McDonald's Ômega (0.82-0.91) for internal consistency measures. Discriminatory power ranging from 0.94 for the dimension Social Support and Friends to 0.98 for Psychological Well-Being. The factorial loads were > 0.40, except for item 19 (0.36). The fit quality indicators of the model were adequate (X2[df] = 1022.89 [311], p < 0.001; RMSEA = 0.053 (0.049-0.087); CFI = 0.988; TLI = 0.987), confirming the five-factor structure originally proposed. CONCLUSIONS: The Brazilian-version Kidscreen-27 achieved good levels of reproducibility, internal consistency, discriminatory power and construct validity. Its use is adequate to measure the health-related quality of life of adolescents in the Brazilian context.

Asunto(s)

RESUMEN

Sociodemographic factors and lifestyle behaviours were evidenced as correlates of self-reported 24-hour movement behaviours in high-income settings. However, it is unclear how these relations occur in a middle-income country setting, with unique cultural and social characteristics. This study aimed to examine the association between sociodemographic, dietary, and substance use factors with accelerometer-measured 24-hour movement behaviours in Brazilian adolescents. Information on sex, age, socioeconomic status (SES), family structure, dietary behaviours, and history of substance use were collected by a questionnaire. Sleep duration, sedentary behaviour, and light- and moderate-to-vigorous physical activity (LPA and MVPA) were measured using wrist-worn accelerometers. On average, females slept more (ß = 21.09, 95%CI 13.18; 28.98), engaged in more LPA (ß = 17.60, 95%CI 8.50; 27.13), and engaged in less sedentary behaviour (ß = -16.82, 95%CI -30.01; -4.30) and MVPA (ß = -4.76, 95%CI -7.48; -1.96) than males. Age and sedentary behaviour were positively associated (ß = 8.60, 95%CI 2.53; 14.64). Unprocessed foods were positively related to LPA (ß = 2.21, 95%CI 0.55; 3.92), whereas processed foods were positively related to sedentary behaviour (ß = 3.73, 95%CI 0.03; 7.38) and inversely related to MVPA (ß = -0.89, 95%CI -1.68; -0.10). Family structure, SES, and substance use factors were not significantly associated with any 24-hour movement behaviour.Conclusions: Sex, age, and dietary behaviours, unlike SES or substance use, were associated with 24-hour movement behaviours in this sample of Brazilian adolescents and are important factors to consider in interventions, policies, and practice. What is Known: • The 24-hour movement behaviours are composed of sleep, sedentary behaviour, and physical activity and are important determinants of health. • Most adolescents do not engage in adequate levels of physical activity, sedentary behaviour, and sleep, and there is a need to better understand factors related to these behaviours. What is New: • Sex, age, and dietary behaviours were associated with the 24-hour movement behaviours. • No associations were found between socioeconomic status and substance use with the 24-hour movement behaviours.

Asunto(s)

RESUMEN

We aimed to identify sociodemographic, dietary, and substance use factors associated with self-reported sleep duration, physical activity (PA), and sedentary behavior (SB) indicators in a sample of Brazilian adolescents. Adolescents (n = 731, 51% female, mean age: 16.4 years) answered a questionnaire. The volume of total PA, sports, non-sports, total SB, leisure-time SB, involuntary SB, sleep duration, dietary behaviors, sociodemographic, and substance use indicators were self-reported. Multilevel linear models were fitted. Females engaged in less total PA, sports, total SB, and leisure-time SB, but in more involuntary SB than males. Age was positively associated with non-sports and involuntary SB. Socioeconomic status was positively associated with total PA. Adolescents who lived with the mother only practiced more sports compared to those living with two parents. Unprocessed food was positively associated with total PA and sports. Processed food was inversely associated with total PA and non-sports, and positively associated with total SB and leisure-time SB. Alcohol use was positively associated with total PA, and tobacco smoking was negatively associated with total PA. No associations were observed for sleep duration. In conclusion, sociodemographic, dietary, and substance use factors are associated with the 24 h movement behaviors among Brazilian adolescents, and some associations are type specific.

Asunto(s)

RESUMEN

Schools have been the main context for physical activity (PA) and sedentary behavior (SB) interventions among adolescents, but there is inconsistent evidence on whether they also improve dimensions of the health-related quality of life (HRQoL). The aim of this study was to evaluate the effects of a school-based active lifestyle intervention on dimensions of HRQoL. A secondary aim was to verify whether sex, age, and HRQoL at baseline were moderators of the intervention effect. A cluster-randomized controlled trial was conducted at three control and three intervention schools in Florianopolis, Brazil. All students from 7th to 9th grade were invited to participate. A school year intervention, designed primarily to increase PA and reduce SB, included strategies focused on (i) teacher training on PA, SB, and nutrition, and availability of teaching materials related to these contents; (ii) environmental improvements (i.e., creation and revitalization of spaces for the practice of PA in school); and (iii) education strategies, with the availability of folders and posters regarding PA, SB, and nutrition. Participants and the research staffs were not blinded to group assignment, but a standardized evaluation protocol was applied at baseline and after the intervention (March and November 2017) using the KIDSCREEN-27 to assess HRQoL across five dimensions. Mixed linear models were performed to evaluate the effect of the Movimente intervention on the five HRQoL dimensions. Of the 921 students who answered the questionnaire at baseline, 300 and 434 completed the study in control and intervention groups, respectively (dropouts: 20%). The results revealed no significant effects of the intervention on any HRQoL dimensions. A reduction of the school environment dimension was observed in both the control (-2.44; 95% CI: -3.41 to -1.48) and intervention groups (-2.09; 95% CI: -2.89 to -1.30). Sensitivity analyses showed that students in the highest baseline tertiles of HRQoL in any dimension had a reduction in their respective scores from pre- to post-intervention in both school groups. In conclusion, our results demonstrated no intervention effect on HRQoL dimensions and those students with the highest levels of HRQoL at baseline on all dimensions reduced from pre to post-intervention. CLINICAL TRIAL REGISTRATION: The trial is registered at the Clinical Trial Registry (Trial ID: NCT02944318; date of registration: October 18, 2016).

RESUMEN

OBJECTIVES: To compare sedentary behaviour and physical activity between short sleepers and adequate sleepers in a sample of Brazilian adolescents. MATERIAL AND METHODS: 688 adolescents wore accelerometers on the non-dominant wrist for seven days. Sleep duration, sedentary behaviour, light (LPA), moderate (MPA), and vigorous physical activity (VPA) were estimated. Participants were classified as short (<8h/night) or adequate sleepers (≥8h/night). The minutes and the percentage of time spent in each waking behaviour was compared between short and adequate sleepers. RESULTS: Participants were 16.3 years old, 50.4% were female, and 67.7% were short sleepers. Adequate sleepers engaged in less (min/day) sedentary behaviour (-53.46), LPA (-25.44), MPA (-4.27), and VPA (-0.63) compared to short sleepers. However, no differences were observed for the proportion of time (68% in sedentary behaviour, 28% in LPA, 3% in MPA, and <0.4% in VPA). CONCLUSION: Patterns of waking behaviours are similar between short and adequate sleepers.