Association between sedentary behavior and anthropometric and metabolic profiles among adolescents

Guimarães, Roseane de Fátima; Silva, Michael Pereira da; Mazzardo, Oldemar; Martins, Rafael Vieira; Campos, Wagner de

doi:10.1590/s1980-65742013000400013

Cited by 5 publications

(3 citation statements)

References 26 publications

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“…This study showed that SB in Brazilian adolescents, assessed using different cut-off points, was associated with sociodemographic characteristics (gender, age, color/race, household economic status, student's employment, and maternal education level), social support (existence of close friends and parents who regularly checked homework activities), and behavioral and health factors (physical activity, alcohol use, tobacco use, fruit consumption, and soft drink consumption and self-assessed health status). Girls had a higher SB prevalence than boys at all cut-off points, as reported in previous studies [3,20]. Time spent on the telephone, listening to music, doing homework, writing, talking, and parent restrictions on girls' participation in outdoor activities may contribute to the gender disparity in SB [21,22].…”

Section: Discussionsupporting

confidence: 70%

National Adolescent School-based Health Survey - PeNSE 2015: Sedentary behavior and its correlates

et al. 2020

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ObjectiveTo investigate the association between sedentary behavior (SB) and sociodemographic, social support, behavioral, and health variables among Brazilian adolescents. MethodsThe 2015 National Adolescent School-based Health Survey (PeNSE) was a cross-sectional study consisting of 102,072 Brazilian ninth-graders (mainly aged 13-15 years). SB was defined as the time (in hours) watching television, using a computer, playing video games, talking to friends, or doing other activities in a sitting position. For analysis purposes, SB was categorized into different cut-offs as per the sample distribution quartiles: >2 versus <2 (25 th percentile); >4 versus <4 (50 th 26 percentile) and >6 versus <6 (75 th 27 percentile). We employed Poisson univariate and multivariate regression analyses with robust variance and hierarchical entry of variables for each cut-off point. ResultsThe prevalence rates of each SB cut-off point were 68.15% (CI: 67.44-68.86), 44.15% (CI: 43.40-44.90) and 24.97% (CI:24.37-25.57) for >2, >4 and >6 hours, respectively. The following characteristics were positively and significantly associated with each SB cut-off point in the final models: females, current employment, higher household economic status and higher maternal schooling, lower levels of parents checking homework, tobacco and alcohol use, soft drink and fruit consumption, and regular, poor or very poor self-assessed health status. Conversely, students who self-declared brown were less likely to be classified as a SB cut-off point. Significant associations with age, report of close friends, and physical activity varied by different SB cut-off points.

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Section: Discussionsupporting

confidence: 70%

National Adolescent School-based Health Survey - PeNSE 2015: Sedentary behavior and its correlates

et al. 2020

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“…[11][12][13] Most of the studies used self-reported questionnaires, but less than half the studies reported information about instrument validity. 9,14,17,18,[30][31][32][33]36,42,[52][53][54][59][60][61][62]65,[67][68][69][70][73][74][75][77][78][79][80][81]86,93,94,97,[99][100][101][102][103][104][105][106] Only three studies assessed sedentary behavior using accelerometers. 11,15,16 The cut-off point used in the studies varied considerably from 2 to 4 hours, although most studies used cut-off point of 2 hours of screen time: 20 studies 18,20,21,27,[30][31][32][33]…”

Section: Resultsmentioning

confidence: 99%

Systematic review of childhood and adolescence sedentary behavior: analysis of the Report Card Brazil 2018

Silva

Bandeira

Santos

et al. 2018

Rev. Bras. Cineantropom. Desempenho Hum.

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The aim of this study was to summarize studies examining the prevalence of sedentary behavior among Brazilian children and adolescents. A systematic review conducted on eight databases (PubMed, Scopus, Web of Science, LILACS, SPORTDiscus, BIREME, Scielo, and Google Scholar). The criteria applied were: original research; samples including Brazilian children and adolescents; to be a school- or population-based survey; observational studies using different measures of sedentary behavior; studies showing the prevalence of at least one component of sedentary behavior. Of the 205 studies included, 104 were analyzed. There was a greater concentration of studies in the southern (n=41) and northeastern (n=18) regions. The components more frequently investigated were watching TV (n=36) and screen time (n=32). Only three studies included children under seven years, and the age range more investigated was 10 to 19 years. Most of the studies used a self-reported questionnaire and showed variability in the cut-off point applied (from 2 to 4 hours/day). The prevalence of adolescents who met recommendations ranged from 9.4% to 68.0% for sedentary behavior (<2 hours/day) and from 16.8% to 67.2% for TV viewing (<2 hours/day). The prevalence ranged from 39.1% to 97.7% for computer use and from 47.7% to 98.0% for videogame use. Most of the studies reported that less than half of the adolescents met the recommendations of sedentary behavior and TV viewing. On the other hand, more than half of them devoted less than two hours a day to computer and videogame use.

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“…Different studies have demonstrated that health-related risk factors are associated with conditions for the development of chronic non-communicable diseases in children and adolescents [2][3][4][5][6] . In addition, the increase of metabolic disorders such as hypertension, hyperglycemia, elevated serum triglyceride and total cholesterol, and decreased high-density lipoprotein with abdominal adiposity, can lead to metabolic syndrome 7 .…”

Section: Introductionmentioning

confidence: 99%

Metabolic risk factors clustering among adolescents: a comparison between sex, age and socioeconomic status

Guimarães

Silva

Mazzardo

et al. 2019

Ciênc. saúde coletiva

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The aim was to compare the metabolic risk factors (MRF) between sex, age and socioeconomic status in a sample of adolescents from Curitiba, Brazil. A cross-sectional school-based study was conducted on 997 adolescents (429 boys) aged 12-17 years old from public schools. Total Cholesterol (TC), LDL-c, HDL-c, Triglycerides, Glycemia, Blood Pressure, waist circumference and body mass index were measured. Sex, age and socioeconomic status information was obtained using a questionnaire. Descriptive analyses, Fisher Exact and Chi-Square Tests were used to establish the sample's characteristics and the MRF comparison between variables. We found that 27.4% were classified as overweight/obese, almost half of them had TC and LDL-c classified as limitrophe/altered, with a difference between the sexes (p < 0.01), and that a higher percentage of altered values was seen among girls. The percentage of 3 and 4 or more MRF was 13.8% and 6.3%, respectively. In addition, 86.5% of the participants had at least one and 39.7% had at least two MRF. We conclude that there was a high percentage of overweight/obese, as well as a great number of subjects with altered TC and HDL-c. We also pointed out the large percentage of aggregated metabolic risk factors in both sexes. Strategies to reduce metabolic risk factors are required.

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Association between sedentary behavior and anthropometric and metabolic profiles among adolescents

Cited by 5 publications

References 26 publications

National Adolescent School-based Health Survey - PeNSE 2015: Sedentary behavior and its correlates

National Adolescent School-based Health Survey - PeNSE 2015: Sedentary behavior and its correlates

Systematic review of childhood and adolescence sedentary behavior: analysis of the Report Card Brazil 2018

Metabolic risk factors clustering among adolescents: a comparison between sex, age and socioeconomic status

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