Validade De Um Questionário De Comportamento Sedentário Em Escolares De 9 a 15 Anos De Idade

Bacil, Eliane Denise Araújo; Watanabe, Priscila Iumi; Silva, Michael Pereira da; Fantinelli, Edmar Roberto; Bozza, Rodrigo; Campos, Wagner de

doi:10.22478/ufpb.2317-6032.2018v22n4.37491

Cited by 6 publications

(6 citation statements)

References 11 publications

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“…QASA has positive indicators of validity and reproducibility in Brazilian adolescents (ICC 0.88; 95% confidence interval [95% CI] 0.82-0.91; rho: 0.79; p <0.01). 25,26 Teenagers who reported > 4 hours/day in front of a screen were considered in the category of high screen time.…”

Section: Methodsmentioning

confidence: 99%

Association Between Physical Activity Practice and Clustering of Health Risk Behaviors in Adolescents

Silva

Pacífico

Piola

et al. 2020

Rev. paul. pediatr.

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Objective: To verify the association between participation in physical activity (PA) and the clustering of health risk behaviors (HRB) in adolescents of both genders. Methods: A cross-sectional study involving 862 adolescents (11 to 17 years old) enrolled in 14 randomly selected public schools from Curitiba, Paraná, Brazil. Participation in PA, screen time, consumption of fruit, vegetables, cigarettes and alcoholic beverages were the criteria evaluated. Multinomial logistic regression tested the association between participation in PA and clustering of HRB, and results are expressed Odds Ratio (OR) with 95% confidence intervals (95%CI). Results: Adolescents with high participation in PA had lower odds of clustering 2-3 HRB (OR 0.38, 95%CI 0.21-0.68; p<0.01) and 4-5 HRB (OR 0.29; 95%IC 0.16-0.53; p<0.01). Boys with high participation in PA had lower chances of clustering 2-3 HRB (OR 0.31, 95%CI 0.13-0.75; p=0.01), and girls had lower odds of clustering 2-3 HRB (OR 0.41; 95%CI 0.17-0.99; p=0.04) and 4-5 HRB (OR 0.25; 95%CI 0.10-0.61; p<0.01). Conclusions: High participation in PA was inversely associated with the clustering of HRB in adolescents.

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Section: Methodsmentioning

confidence: 99%

Association Between Physical Activity Practice and Clustering of Health Risk Behaviors in Adolescents

Silva

Pacífico

Piola

et al. 2020

Rev. paul. pediatr.

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“…Other studies found that girls as a risk factor 4 or did not find any relationship with high screen time. 5 Despite this inconclusive relationship, there is evidence that girls are engaged in other types of sedentary behaviors, unlike screen time (television, video games, and computer), such as educational, cultural, and other extracurricular 3,6,7,21 which might explain our results. Additionally, during adolescence, girls undergo body transformations and in proportions that can hinder motor and physiological performance, causing changes in behavior patterns.…”

Section: Discussionmentioning

confidence: 59%

“…Then, Body mass index (BMI) was calculated as weight (Kg)/height (m), and the BMI classification Status followed the reference proposed by the World Health Organization for each sex and age. 20 The Brazilian version 7,21 of the Adolescents Sedentary Activity Questionnaire (ASAQ) assessed the screen time. The ASAQ has adequate validity, and reliability (CCI=0.90, CI95%=0.86-0.93) 7 to measure sedentary activities in Brazilian adolescents.…”

Section: Methodsmentioning

confidence: 99%

Association of sex, sexual maturation, age group, economic class, and nutritional status with the different cutoff points of screen time in adolescents

Piola

Bacil

Pacífico

et al. 2022

Rev. Bras. Saude Mater. Infant.

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Objectives: to estimate the prevalence of adolescents’ screen time in three different scenarios and possible associations with gender, sexual maturation, age group, economic class, and nutritional status. Methods: a cross-sectional study conducted with a representative sample of 3,979 adolescents from Greater Curitiba. Screen time (television, computer, and video game) was self-reported and categorized as ≤2h/day, >2 to ≤4h/day, and >4h/day. Ordinal logistic regression tested the associations. Results: the sample consisted of adolescents of 14.60±1.88 years old, most girls (51.2%). The prevalence of screen time >4h/day was 89.3%. Girls (OR=0.61; CI95%=0.49-0.76) and the older age groups (“14 to 16 years” OR=0.29; CI95%=0.22-0.39, and “17 to 19 years” OR=0.11; CI95%=0.08-0.16) were less likely to be in the groups of higher screen time. Conclusions: screen time above four hours seems to be the most prevalent among adolescents. Older girls and teens are less likely to have higher screen time.

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“…Therefore, several studies have been developed to understand the relationship between this behavior and health outcomes 6 , identifying methods capable of reliably measuring these manifestations can help guide more assertive recommendations for populations. Some countries have developed public health guidelines that include recommendations about SB [7][8][9][10][11] . These guidelines are generally based on epidemiological studies, which evaluate SB using device-derived (accelerometry and devices that detect postural changes) and subjective methods (questionnaires) 12 .…”

Section: Introductionmentioning

confidence: 99%

Approaches and methods to assess sedentary behavior in Brazil: a systematic review

Barboza

Silva

Thuany

et al. 2022

Rev. Bras. Ativ. Fís. Saúde

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Nosso objetivo foi caracterizar os estudos brasileiros que avaliaram o comportamento sedentário, descrevendo as principais características dos estudos e identificando os instrumentos utilizados. Utilizando a metodologia PRISMA, a busca ocorreu em 25 de agosto de 2019 e foi atualizada em 17 de outubro de 2020 nas seguintes bases de dados: PUBMED, LILACS e SCIELO. Estudos em inglês, espanhol e português foram incluídos. Os critérios de inclusão foram estudos realizados com uma amostra de brasileiros e que utilizassem um instrumento para avaliar o comportamento sedentário. No total, foram selecionados 229 artigos. A maioria dos estudos avaliou crianças e adolescentes. Apenas 33 estudos usaram medidas derivadas de dispositivos e houve uma grande variabilidade nos questionários usados. Apenas 83/198 estudos apresentaram critérios de qualidade para o instrumento utilizado. A maioria dos estudos considerou o tempo de tela em uma semana típica mais o fim de semana para caracterizar o comportamento sedentário. Portanto, o comportamento sedentário no Brasil tem sido avaliado em grande parte por diferentes questionários, e poucos foram devidamente validados. Esses achados enfatizam a importância da padronização e do rigor metodológico para avaliação do comportamento sedentário no contexto brasileiro.

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Validade De Um Questionário De Comportamento Sedentário Em Escolares De 9 a 15 Anos De Idade

Cited by 6 publications

References 11 publications

Association Between Physical Activity Practice and Clustering of Health Risk Behaviors in Adolescents

Association Between Physical Activity Practice and Clustering of Health Risk Behaviors in Adolescents

Association of sex, sexual maturation, age group, economic class, and nutritional status with the different cutoff points of screen time in adolescents

Approaches and methods to assess sedentary behavior in Brazil: a systematic review

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