Associação entre consumo alimentar, atividade física, fatores socioeconômicos e percentual de gordura corporal em escolares

D’Avila, Gisele Liliam; Silva, Diego Augusto Santos; Vasconcelos, Francisco de Assis Guedes de

doi:10.1590/1413-81232015214.13722015

Cited by 13 publications

(17 citation statements)

References 23 publications

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“…identified a concomitant increase in physical activity and fat percentage. However, in contrast with the present study, some research did not identify an association between these variables 24 25 These divergences may be due to several demotivating circumstances for adolescent students with excess body fat to adopt the practice of physical activity.…”

Section: Discussioncontrasting

confidence: 99%

Inactive Behavior in Adolescent Students of the Brazilian Western Amazon

Farias

Carvalho

Moraes

et al. 2019

Rev. paul. pediatr.

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Objective: To identify the prevalence of physical inactivity in adolescent students in the city of Porto Velho, RO, Northern Brazil, and its associated factors.Methods: School-based study, conducted with 2,694 adolescents. The self-reported variable for outcome was physical inactivity. Factors associated with inactive behavior were verified by multiple logistic regression. The independent variables were inserted into the model in hierarchical blocks.Results: The overall prevalence of inactive behavior was 39.5%. Females showed a higher prevalence of physical inactivity (46.2%) than males (31.4%). Adolescents in private schools and with reports of negative health perception had a high prevalence of physical inactivity. Regarding associated factors, the female sex showed a magnitude of association of 1.84 with physical inactivity. Being in a private school was associated with a 2.54 times greater chance of physical inactivity compared to public school students. Going to school by bus, car or motorcycle was associated with a 1.29 and 1.63 higher chance of physical inactivity respectively. Adolescents who reported having a negative health perception had 1.29 higher chance of physical inactivity, while having excess body fat showed magnitude of association of 1.36 in adolescents.Conclusions: There was a high prevalence of physical inactivity in the studied adolescents. Considering that the behavior of physical inactivity adopted during adolescence may continue in adulthood, the promotion of actions that can change this behavior may improve health in the future as well as quality of life.

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Section: Discussioncontrasting

confidence: 99%

Inactive Behavior in Adolescent Students of the Brazilian Western Amazon

Farias

Carvalho

Moraes

et al. 2019

Rev. paul. pediatr.

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“…So that, adolescents, realising they were overweight, could be limiting their intake to the foods in this pattern, which are known to be unhealthy and potentially obesogenic. A further reason to believe this finding is due to reverse causality is that an inverse association between unhealthy dietary intake and body fat percentage was found in another study based on the same sample [35]. Alternatively, longitudinal studies may be performed in order to avoid reverse causality.…”

Section: Discussionmentioning

confidence: 93%

Association between screen time and dietary patterns and overweight/obesity among adolescents

et al. 2017

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Objective The association between screen time and dietary patterns and overweight/obesity among adolescents was analysed in this study. Methods In this cross-sectional study, 963 Brazilian adolescents, aged between 11 and 14 years were evaluated. Body mass index was used to assess overweight/obesity. Dietary patterns and screen time were assessed using qualitative questionnaires. Principal component analysis was used to obtain dietary patterns. Confounder variables were: type of school (public or private), sexual maturation, mother’s weight and mother’s education. The Chi-square test was used for the crude analysis; for the adjusted analysis was used Poisson regression with sample weighting. Results Overweight/obesity prevalence was 29.8% and statistically higher among boys (34.7%). Higher screen time prevalence was 39.1%. The dietary patterns obtained were: obesogenic; coffee and dairy products; traditional Brazilian meal; fruit and vegetables; bread and chocolate milk. The dietary pattern that more closely represented student food consumption was the obesogenic pattern. Screen time was not significantly associated with overweight/obesity. The obesogenic pattern (in both sexes), the coffee and dairy products pattern, and the bread and chocolate milk pattern (only in girls), were inversely associated with overweight/obesity. In this study, dietary patterns influenced overweight/obesity, although in some cases, in an inverse way from what expected. Conclusion A high prevalence of overweight/obesity and a high proportion of screen time activities among the adolescents were observed. Our results indicate a high consumption of unhealthy dietary pattern among adolescents.

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“…Additionally, aiming to partially correct possible bias caused by refusal or loss of subjects, the percent differences between the respondents and the eligible population was also considered in the calculation of the sampling weight. Furthermore, it has been reported that studies involving adolescents have lower adherence rates than those observed with other age groups [16]. Moreover, measuring the contribution of engagement in physical activity using a self-administered questionnaire is a limitation of this study.…”

Section: Discussionmentioning

confidence: 80%

“…This is a cross-sectional school-based study linked to a research project financially supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, National Council for Scientific and Technological Development) -Case nº483955/2011-6-carried out from September 2012 to June 2013 in the city of Florianópolis, Santa Catarina, Southern Brazil. The procedures for calculation of sample size sampling, and data collection and analysis have been described in a previous study [16]. A probabilistic sample of students aged 11-14 years enrolled in public (municipal, state, and federal) and private middle and high schools in Florianópolis was used.…”

Section: E T H O D Smentioning

confidence: 99%

“…The following foods belonging to six of the food groups investigated by QUADA were considered as unhealthy foods: sweetened beverages (including soft drinks and artificial fruit juices), sweets, packaged snacks, French fries, and fast food. Subsequently, in order to verify compliance with the recommendations of the Guia Alimentar para a População Brasileira (GAPB, Dietary Guidelines for the Brazilian Population) [23], the number of times that each food group was selected by the respondents was summed up and classified as: no consumption of unhealthy foods, consumption 1-2 times/ day, and consumption>3 times/day [16]. This categorization was based on that used in a previous study, which sought to follow the guidelines of the GAPB [23].…”

Section: E T H O D Smentioning

confidence: 99%

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Sociodemographic and behavioral characteristics of obese students with sleep problems in Southern Brazil

et al. 2018

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Objective This study estimated the combined prevalence of insufficient number of hours of sleep per day and excess body adiposity among young students. The sociodemographic and behavioral characteristics associated with this concurrent health conditions were investigated. Methods This is a cross-sectional school-based study of 975 participants aged 11-14 years in Florianópolis, Santa Catarina state, Brazil. Body adiposity was assessed based on tricipital and subscapular skinfold measurements and classified according to Lohman. The total number of hours of sleep per day was reported by the students’ parents/guardians, and it was classified as follows: as <8 hours per day and ≥8 hours per day. Data on sociodemographic characteristics, food consumption, and physical activity were collected using a self-administered questionnaire. The chi-square test and multinomial logistic regression with a 5% significance level were used to evaluate the association between the variables. Results The combined prevalence of insufficient number of hours of sleep per day and excess body adiposity was 25.1% (CI95%:20.7-29.9). The sociodemographic and behavioral factors predictive of these conditions were as follows: 13-14 year age group and household monthly income in the intermediate tertile. Conclusion The concurrent presence of insufficient sleep and excess body adiposity was found in a little more than a quarter of the students investigated. The population subgroups belonging to the 13-14 year age group and intermediate tertile of income were more likely to have concurrent insufficient number of hours of sleep per day and excess body adiposity.

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Associação entre consumo alimentar, atividade física, fatores socioeconômicos e percentual de gordura corporal em escolares

Abstract: (RP = 0,61; IC: 0,79

Cited by 13 publications

References 23 publications

Inactive Behavior in Adolescent Students of the Brazilian Western Amazon

Inactive Behavior in Adolescent Students of the Brazilian Western Amazon

Association between screen time and dietary patterns and overweight/obesity among adolescents

Sociodemographic and behavioral characteristics of obese students with sleep problems in Southern Brazil

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