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Our purpose was to evaluate the effect of physically active lessons (PAL) on the cognitive performance of children during two years of follow-up. Four classes (second grade of elementary school) were divided into two intervention classes (n = 34) and two control classes (n = 27). Evaluations were performed before the intervention (M1), after 3 (M2) and 9 (M3) months in the 1st year, and 14 (M4) and 18 (M5) months in the 2nd year. The intervention was based on PAL integrated with the curricular components, which stimulated the children to stand or move in the classroom. Cognitive performance was evaluated using three computerized tests for response inhibition, selective attention, and cognitive flexibility. The children in the intervention classes presented improved cognitive performance in the execution of all tasks along the two years follow-up, in both correct answers and time reactions, with exception of correct answers of visual search. For the intervention classes, in most of the tasks, the mean differences confidence interval of 95% did not include the 0 on the two last moments of evaluation, and in all cases, the mean differences of them between M1 versus M5 were significantly different with high values of effect size (cohen -d > 1). PAL promotes modest improvements in diverse cognitive functions in children.

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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.

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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.

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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.

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Background: We aimed to investigate time trends and inequalities of different physical activity (PA) domains and sitting time (ST) in adults from South American countries. Methods: We included cross-sectional data of nationally representative surveys on adults (n = 597 843) from nine South American countries (Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Peru, Uruguay, and Venezuela), with data collection time frames ranging from 2005 to 2020. Data on different PA domains (leisure-time, transport, and occupational) and ST were assessed through questionnaires. Trends according to education level (quintiles), gender (m/w), and age group (18-34 years, 35-49 years, 50-64 years) were estimated for the harmonized indicators of nonzero PA in the different domains, ≥150 min/week of total PA and ≥8 hours/d of ST. Results: Chile (2009/2010 = 78.9% vs 2016/2017 = 70.5%), and Peru (2009/2010 = 78.6% vs 2011 = 69.6%) reduced total PA, while Brazil (2013 = 57.3% vs 2019 = 67.0%) and Uruguay (2006 = 69.4% vs 2013 = 79.4%) increased, and Argentina and Venezuela maintained. There was an increasing trend for ST in Argentina, Peru, and Uruguay. Leisure-time PA increased in most countries (6/8 countries). Transport PA was relatively stable, while occupational PA presented mixed findings. Education inequalities increased over time for total and leisure-time PA, while age and gender inequalities were relatively constant. Conclusions: Future South American countries' efforts may be warranted to promote PA and reduce ST in adults, while addressing inequalities when implementing actions.

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Objectives: To characterize how physical activity and sedentary behavior have been measured in national health surveys in South American countries. Methods: An extensive search was made for national health surveys from all 12 South American countries through health websites, national statistical offices, and contact with researchers and policy-makers. The following eligibility criteria were used to select surveys: conducted in a South American country; used a nationally representative sample ≥ 18 years; coordinated by the public, private or mixed private-public sector; and assessed physical activity and/or sedentary behavior. Data were extracted on general information about the surveys, specific details about the physical activity and sedentary behavior assessment, and additional questions related to activity behavior. Results: In total, 36 surveys were included, two of which were multicountry surveys; all surveys assessed physical activity and 27 assessed sedentary behavior. Most surveys (23/36; 64%) were based on previously validated international questionnaires, but 13 (57%) of these deviated from the reference tools, introducing changes and adaptations. Sedentary behavior was assessed mostly through questions on screen time and/or daily sitting time in the same physical activity questionnaires. No survey used device-based measures to generate data on these behaviors. Conclusions: Differences between instruments used and modifications limit the comparability of data across countries. This highlights the importance of standardizing assessment within South America for physical activity and sedentary behavior sections in national surveys, with the broader aim of contributing to establishing a standardized strategy for the surveillance of physical activity and sedentary behavior in South America.

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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.

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[ABSTRACT]. Objectives. To characterize how physical activity and sedentary behavior have been measured in national health surveys in South American countries. Methods. An extensive search was made for national health surveys from all 12 South American countries through health websites, national statistical offices, and contact with researchers and policy-makers. The following eligibility criteria were used to select surveys: conducted in a South American country; used a nationally representative sample ≥ 18 years; coordinated by the public, private or mixed private–public sector; and assessed physical activity and/or sedentary behavior. Data were extracted on general information about the surveys, specific details about the physical activity and sedentary behavior assessment, and additional questions related to activity behavior. Results. In total, 36 surveys were included, two of which were multicountry surveys; all surveys assessed physical activity and 27 assessed sedentary behavior. Most surveys (23/36; 64%) were based on previously validated international questionnaires, but 13 (57%) of these deviated from the reference tools, introducing changes and adaptations. Sedentary behavior was assessed mostly through questions on screen time and/or daily sitting time in the same physical activity questionnaires. No survey used device-based measures to generate data on these behaviors. Conclusions. Differences between instruments used and modifications limit the comparability of data across countries. This highlights the importance of standardizing assessment within South America for physical activity and sedentary behavior sections in national surveys, with the broader aim of contributing to establishing a standardized strategy for the surveillance of physical activity and sedentary behavior in South America.

[RESUMEN]. Objetivos. Describir cómo se han medido la actividad física y el sedentarismo en las encuestas nacionales de salud en los países de América del Sur. Métodos. Se llevó a cabo una extensa búsqueda de encuestas nacionales de salud de los doce países sudamericanos en sitios web de salud, oficinas nacionales de estadística y mediante el contacto con investigadores y responsables de formular políticas. Para escoger las encuestas se emplearon los siguientes criterios de selección: realizada en un país sudamericano; muestra representativa a nivel nacional de ≥ 18 años; coordinada por el sector público, el sector privado o mixto público-privado; y evaluación de la actividad física o el sedentarismo. Se extrajeron datos como información general de las encuestas, detalles específicos de la evaluación de la actividad física y el sedentarismo, y otras preguntas relacionadas con la actividad física. Resultados. En total, se incluyeron 36 encuestas, dos de las cuales se realizaron en varios países. Todas las encuestas evaluaron la actividad física; 27, el sedentarismo. La mayoría de las encuestas (23/36; 64%) se basaron en cuestionarios internacionales anteriormente validados, de los cuales 13 (57%) se desviaron de las herramientas de referencia al tener cambios y adaptaciones. El sedentarismo se evaluó principalmente en los mismos cuestionarios de actividad física mediante preguntas sobre el tiempo invertido delante de pantallas o el tiempo diario sentado. Ninguna encuesta aplicó medidas basadas en dispositivos para obtener datos sobre estos comportamientos. Conclusiones. Las diferencias entre los instrumentos empleados y las modificaciones limitan la comparabilidad de los datos en todos los países. Esto pone de relieve la importancia de estandarizar la evaluación en América del Sur de las secciones dedicadas a la actividad física y al sedentarismo en las encuestas nacionales, con el objetivo general de contribuir a la creación de una estrategia estandarizada para la vigilancia de la actividad física y el sedentarismo en América del Sur.

[RESUMO]. Objetivos. Caracterizar como a atividade física e o comportamento sedentário têm sido medidos em pesquisas nacionais de saúde em países sul-americanos. Métodos. Foi realizada uma busca extensa de pesquisas nacionais de saúde de todos os 12 países sul-americanos em sites de saúde e órgãos nacionais de estatística, e pelo contato com pesquisadores e formuladores de políticas. Foram usados os seguintes critérios de elegibilidade para selecionar as pesquisas: conduzida em um país sul-americano; que tenha usado uma amostra nacionalmente representativa ≥ 18 anos; coordenada pelo setor público, privado ou público-privado; e que tenha avaliado a atividade física e/ou o comportamento sedentário. Os dados extraídos eram sobre informações gerais das pesquisas, detalhes específicos sobre a avaliação da atividade física e do comportamento sedentário e questões adicionais relacionadas ao comportamento na atividade. Resultados. Ao todo, 36 pesquisas foram incluídas, duas das quais foram conduzidas em vários países. Todas as pesquisas avaliaram a atividade física e 27 avaliaram o comportamento sedentário. A maioria das pesquisas (23/36; 64%) baseou-se em questionários internacionais previamente validados e 13 (57%) delas se desviaram das ferramentas de referência, introduzindo mudanças e adaptações. O comportamento sedentário foi avaliado principalmente por meio de perguntas sobre tempo de tela e/ou tempo diário sentado nos mesmos questionários sobre atividade física. Nenhuma pesquisa utilizou medições realizadas por dispositivos para gerar dados sobre esses comportamentos. Conclusões. As diferenças entre os instrumentos usados e as modificações limitam a comparabilidade dos dados entre os países, o que destaca a importância de padronizar a avaliação na América do Sul para as seções de atividade física e comportamento sedentário em pesquisas nacionais, com o objetivo mais amplo de contribuir para o estabelecimento de uma estratégia padronizada para a vigilância da atividade física e do comportamento sedentário na América do Sul.

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ABSTRACT Objectives. To characterize how physical activity and sedentary behavior have been measured in national health surveys in South American countries. Methods. An extensive search was made for national health surveys from all 12 South American countries through health websites, national statistical offices, and contact with researchers and policy-makers. The following eligibility criteria were used to select surveys: conducted in a South American country; used a nationally representative sample ≥ 18 years; coordinated by the public, private or mixed private-public sector; and assessed physical activity and/or sedentary behavior. Data were extracted on general information about the surveys, specific details about the physical activity and sedentary behavior assessment, and additional questions related to activity behavior. Results. In total, 36 surveys were included, two of which were multicountry surveys; all surveys assessed physical activity and 27 assessed sedentary behavior. Most surveys (23/36; 64%) were based on previously validated international questionnaires, but 13 (57%) of these deviated from the reference tools, introducing changes and adaptations. Sedentary behavior was assessed mostly through questions on screen time and/or daily sitting time in the same physical activity questionnaires. No survey used device-based measures to generate data on these behaviors. Conclusions. Differences between instruments used and modifications limit the comparability of data across countries. This highlights the importance of standardizing assessment within South America for physical activity and sedentary behavior sections in national surveys, with the broader aim of contributing to establishing a standardized strategy for the surveillance of physical activity and sedentary behavior in South America.

RESUMEN Objetivos. Describir cómo se han medido la actividad física y el sedentarismo en las encuestas nacionales de salud en los países de América del Sur. Métodos. Se llevó a cabo una extensa búsqueda de encuestas nacionales de salud de los doce países sudamericanos en sitios web de salud, oficinas nacionales de estadística y mediante el contacto con investigadores y responsables de formular políticas. Para escoger las encuestas se emplearon los siguientes criterios de selección: realizada en un país sudamericano; muestra representativa a nivel nacional de ≥ 18 años; coordinada por el sector público, el sector privado o mixto público-privado; y evaluación de la actividad física o el sedentarismo. Se extrajeron datos como información general de las encuestas, detalles específicos de la evaluación de la actividad física y el sedentarismo, y otras preguntas relacionadas con la actividad física. Resultados. En total, se incluyeron 36 encuestas, dos de las cuales se realizaron en varios países. Todas las encuestas evaluaron la actividad física; 27, el sedentarismo. La mayoría de las encuestas (23/36; 64%) se basaron en cuestionarios internacionales anteriormente validados, de los cuales 13 (57%) se desviaron de las herramientas de referencia al tener cambios y adaptaciones. El sedentarismo se evaluó principalmente en los mismos cuestionarios de actividad física mediante preguntas sobre el tiempo invertido delante de pantallas o el tiempo diario sentado. Ninguna encuesta aplicó medidas basadas en dispositivos para obtener datos sobre estos comportamientos. Conclusiones. Las diferencias entre los instrumentos empleados y las modificaciones limitan la comparabilidad de los datos en todos los países. Esto pone de relieve la importancia de estandarizar la evaluación en América del Sur de las secciones dedicadas a la actividad física y al sedentarismo en las encuestas nacionales, con el objetivo general de contribuir a la creación de una estrategia estandarizada para la vigilancia de la actividad física y el sedentarismo en América del Sur.

RESUMO Objetivos. Caracterizar como a atividade física e o comportamento sedentário têm sido medidos em pesquisas nacionais de saúde em países sul-americanos. Métodos. Foi realizada uma busca extensa de pesquisas nacionais de saúde de todos os 12 países sul-americanos em sites de saúde e órgãos nacionais de estatística, e pelo contato com pesquisadores e formuladores de políticas. Foram usados os seguintes critérios de elegibilidade para selecionar as pesquisas: conduzida em um país sul-americano; que tenha usado uma amostra nacionalmente representativa ≥ 18 anos; coordenada pelo setor público, privado ou público-privado; e que tenha avaliado a atividade física e/ou o comportamento sedentário. Os dados extraídos eram sobre informações gerais das pesquisas, detalhes específicos sobre a avaliação da atividade física e do comportamento sedentário e questões adicionais relacionadas ao comportamento na atividade. Resultados. Ao todo, 36 pesquisas foram incluídas, duas das quais foram conduzidas em vários países. Todas as pesquisas avaliaram a atividade física e 27 avaliaram o comportamento sedentário. A maioria das pesquisas (23/36; 64%) baseou-se em questionários internacionais previamente validados e 13 (57%) delas se desviaram das ferramentas de referência, introduzindo mudanças e adaptações. O comportamento sedentário foi avaliado principalmente por meio de perguntas sobre tempo de tela e/ou tempo diário sentado nos mesmos questionários sobre atividade física. Nenhuma pesquisa utilizou medições realizadas por dispositivos para gerar dados sobre esses comportamentos. Conclusões. As diferenças entre os instrumentos usados e as modificações limitam a comparabilidade dos dados entre os países, o que destaca a importância de padronizar a avaliação na América do Sul para as seções de atividade física e comportamento sedentário em pesquisas nacionais, com o objetivo mais amplo de contribuir para o estabelecimento de uma estratégia padronizada para a vigilância da atividade física e do comportamento sedentário na América do Sul.