Fat Mass Centile Charts for Brazilian Children and Adolescents and the Identification of the Roles of Socioeconomic Status and Physical Fitness on Fat Mass Development
Bibliographic Data
| ID | 15514051 |
|---|---|
| Authors | Simonete Silva (Universidade Regional do Cariri), Adam Dominic George Baxter‐jone (0000-0003-0430-0556, University of Saskatchewan), José Maia (0000-0002-3273-0046, Universidade do Porto, corresponding author) |
| Year | 2016 |
| Volume | 13 |
| Issue | 2 |
| Pages | 151-151 |
| Publication date | 2016-01-22 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph13020151 |
| PMID | 26805867 |
| OpenAlex | W2255134141 |
| Language | EN |
| Citations received | 1 |
| References cited | 45 |
This paper presents fat mass centile charts for Brazilian youth and investigates the roles of socioeconomic status and physical fitness (PF) on fat mass (FM) development. Two northeast Brazilian samples were used: a cross-sectional sample of 3659 (1921 girls) aged 8 to 16 years and a mixed-longitudinal series of cohorts (8-10, 10-12, 12-14, 14-16 years) with 250 boys and 250 girls. A measure of somatic maturity was used as a marker of biological maturation; PF comprised agility, explosive and static strength, and aerobic capacity. Socioeconomic status was based on school attended; public or private. Slaughter's anthropometric equations were used to estimate FM. Percentile charts was constructed using the LMS method. HLM (Hierarchical Linear Model) 7 software modeled FM changes, identifying inter-individual differences and their covariates. Girls and boys had different FM percentile values at each age; FM increased nonlinearly in both girls and boys. Higher PF levels reduced FM changes across time in both sexes. Sex-specific non-linear FM references were provided representing important tools for nutritionists, pediatriciann and educators. Physical fitness levels were found to act as a protective factor in FM increases. As such, we emphasize PF importance as a putative health marker and highlight the need for its systematic development across the school years
Anthropometry · Body mass index · Environmental health · Fat mass · Multilevel model · Percentile · Physical fitness · Physical therapy · Socioeconomic status · Statistics · Body Composition Measurement Techniques · Children's Physical and Motor Development · Demography · Mathematics · Medicine · Obesity, Physical Activity, Diet · Psychology · Gerontology
Growth, Maturation, and Physical Activity
Socioeconomic Status and Adiposity in Childhood
Socioeconomic Status and Obesity
Growth at puberty
Body fat reference curves for children
Critical periods in childhood for the development of obesity
Beyond body mass index
Obesity in children and young people
Why are nutritionally stunted children at increased risk of obesity? Studies of metabolic rate and fat oxidation in shantytown children from São Paulo, Brazil
Establishing a standard definition for child overweight and obesity worldwide
Physical Status
Synthetic growth reference charts
Growth references for Brazilian children and adolescents
Estimating total body fat using a skinfold prediction equation in Brazilian children
Child body mass index in four cities of East China compared to Western references
Etiology, Treatment, and Prevention of Obesity in Childhood and Adolescence
| Citations per year | 0.11 |
|---|---|
| Citation span | 2017 - 2017 (1) |
| Highly cited | No |