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

Silva, Simonete; Baxter‐Jones, Adam; Maia, José

doi:10.3390/ijerph13020151

Cited by 4 publications

(6 citation statements)

References 52 publications

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“…Silva, Baxter-Jones and Maia 29 found smaller values of all ages and percentiles compared to this study. The 50 th percentile values are: 12.60% (12 years), 12.00% (13 years), 11.23%(14 years), 10.89%(15years) and 10.98% (16 years).…”

Section: Discussioncontrasting

confidence: 71%

“…In addition, two other researches proposed the monitoring of corporal composition through the ST measures in different regions of the country: one in the south-east region with 2.135 boys (10-15 years) 6 ; another in the north-east region with 2.352 individuals (1.129 between 12-16 years) 29 . Despite in all studies the LMS method was used to generate reference curves, the tools chosen to obtain the %BF limit the comparison to this present study.…”

Section: Discussionmentioning

confidence: 99%

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Body fat percentage in adolescents from Curitiba-PR metropolitan region: reference data using LMS method

Ripka

Esmanhoto

Ulbricht

2018

Rev. Bras. Cineantropom. Desempenho Hum.

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Percentile indicators, aided in its development by biomedical engineering, relative to body fat distribution in adolescents are able to help health professionals in better diagnosing overweight and obesity. The aim of this study was to calculate percentile values to body fat in adolescents aged between 12 and 17 years from the Curitiba-PR and its metropolitan region composed of 29 municipalities, having as reference method the dual energy x-ray absorptiometry (DXA) technology. After applying inclusion criteria for the adolescents, anthropometric measures of body fat and stature were taken, as well as evaluation of the body composition through DXA. The statistical analysis was grounded in the presentation of percentilic values developed by Cole and Green's LMS method, where L stands for the skewness curve, M for the mean curve and S for the variance curve. In total, 390 boys were evaluated. The fat percentage values tend to show a decrease between the ages of 12 (22.8±5.1%) and 16 years (17.9±2.9%). Moreover, for the superior percentiles: 90 th and 97 th re-start to increase at the age of 17 after showing a decrease in the previous years. The L, M and S parameters, altogether with the percentiles created to evaluate body fat are interesting tools to tendency and evolution analyses, as well as to enable inferences to be made about the body composition of adolescents.Resumo -Indicadores percentílicos referentes a distribuição da gordura corporal em adolescentes auxiliam profissionais da saúde em um melhor diagnóstico de sobrepeso e obesidade. O objetivo deste estudo foi calcular valores percentílicos para a gordura corporal de adolescentes com idades entre 12-17 anos de Curitiba-PR e região metropolitana formada ao todo por 29 municípios, tendo como método de referência a tecnologia de absorciometria de raios-X de dupla energia (DXA). Após a aplicação dos critérios de inclusão os adolescentes foram coletadas medidas antropométricas de massa corporal e estatura, além da avaliação da composição corporal com auxílio da DXA. A análise estatística teve como base a apresentação de valores percentílicos a partir do método LMS de Cole e Green, onde L representa a curva de assimetria, M a curva da média e S a curva da variação. Foram avaliados 390 meninos. Os valores de percentual de gordura tendem a apresentar um decréscimo entre as idades de 12 (22.8±5.1%) e 16 anos (17.9±2.9%). Além disso, para os percentis superiores: 90 th e 97 th voltam a crescer na faixa de 17 anos após redução nas idades anteriores. Os parâmetros L, M e S e os percentis criados para percentual de gordura são ferramentas interessantes para análises de tendência e evolução, bem como para que se façam inferências sobre a composição corporal de adolescentes.

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Section: Discussioncontrasting

confidence: 71%

Section: Discussionmentioning

confidence: 99%

Body fat percentage in adolescents from Curitiba-PR metropolitan region: reference data using LMS method

Ripka

Esmanhoto

Ulbricht

2018

Rev. Bras. Cineantropom. Desempenho Hum.

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“…Thus, the increase in BMI can result in both an increase in fat mass and or an increase in lean mass. This can lead to the wrong classification of nutritional status [22].…”

Section: Discussionmentioning

confidence: 99%

Association between children and adolescents’ body composition with family income

et al. 2022

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Objective To evaluate the association between children and adolescents’ body composition with family income. Methods Cross-sectional study, participants between 5 and 19 years were included. A standardized questionnaire assessed socioeconomic variables. The outcome variables were z-score of Body Mass Index and bioimpedance parameters (skeletal muscle mass, fat-free mass, and fat percentage) and predictor variables (age, sex, race, place of residence, father’s education, birth weight and breastfeeding) were analyzed using the quantile regression model and data from the 50th percentile are presented. The tests were bidirectional and the differences were considered significant with p<0.05. Results Among the 529 participants included, 284 (53.6%) were female and the mean age was 11.41±3.9 years. The Body Mass Index z-score was the only outcome that did not show differences between sexes (p=0.158). In the crude model, lower family income was associated with lower skeletal muscle mass (Difference=-7.70; 95% CI -9.32 to -5.89), p<0.001), lower fat-free mass (Difference= -13.40; 95% CI -16.40 to -10.39, p<0.001) and the lowest percentage of fat was associated with lower family income (Difference= -5.01, 95% CI -9.91 to -0.11, p=0.027). The z-score of BMI was not associated with family income. Conclusion Family income is directly associated with lower fat-free mass, fat percentage, and skeletal muscle mass in children and adolescents.

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“…Согласно данным Всемирной организации здравоохранения, в ХХI веке избыточная жировая масса у детей, подростков и юношей стала одной из ключевых проблем общественного здравоохранения [1,2]. Результаты современных исследований показали значимые различия в выраженности жирового компонента внутри одного региона и между странами, обу словленные влиянием средовых, социально-экономических и климатогеографических факторов [3,4]. Степень проявления жировой массы отражает индивидуальные особенности обменных процессов [5].…”

Section: актуальностьunclassified

“…В исследованиях зарубежных авторов также выявлены половые различия в показателях жировой массы и темпах её увеличения [24]. S. Silva, A. Baxter-Jones и J. Maia показали увеличение доли жира у девочек 8-16 лет на 8,32% (от 15,94 до 24,26%), у мальчиков с возрастом отмечено его снижение на 2,5% (от 13,40 до 10,98%) [3]. По данным K. Laurson, J. Eisenmann и G. Welk [25] Представленные различия связаны с тем, что жировая масса детей и подростков бывает результатом сложнейших процессов роста и развития, особенно в сенситивные периоды [3].…”

Section: результаты и обсуждениеunclassified

Individual-typological assessment of the body fat component of the examined children and youth

2023

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Background. Individual anatomical variability in the human body shape can be characterized by its proportions, which serve as the main components of assessing the type of human constitution. Aim. Establish individual typological features of the age-related changes in the fat component of the examined children, adolescents and youth. Material and methods. 409 residents of the Smolensk region aged 420 years were examined: 212 males and 197 females. The cohort was divided according to the International Age Periodization 1965. Studies of the longitudinal-transverse type lasted for 10 years (20102020). The research methods included anthropometry, somatodiagnostics, determination of the biological development variant. To determine the fat component, the thickness of the skin-fat folds was measured, the calculation was made according to the formulas of Ya. Mateyko. The analyzed data had a normal distribution (ShapiroWilk test). The hypothesis of statistical significance of differences was tested using Student's t-test. Results. Assessment of age-related changes in the body fat component of the subjects showed its continuous increase from 4 to 20 years. In female subjects it was higher, the significance of differences was established from the age of 12 (p 0.05). The fat component had a high and moderate degree of correlation with body height and weight (r=0.5330.753 and r=0.5300.833), skin-fat folds (r=0.5010.941) and body circumference (r=0.5030.790). Significant differences were established between the extreme variants of biological development (isochronic approach) (t=2.3052.604; р 0.05). In the examined males, the difference was 1012%, females 2530%. Somatotypological assessment (isosome approach) showed significant differences (t=3.4626.781; p 0.001) in the severity of fat mass in the subjects of both sexes of macrosomal and microsomal types. Conclusion. The conducted studies have confirmed the presence of high individualization of the fat components growth processes of male and female subjects of various somatic types and biological development variants.

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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

Cited by 4 publications

References 52 publications

Body fat percentage in adolescents from Curitiba-PR metropolitan region: reference data using LMS method

Body fat percentage in adolescents from Curitiba-PR metropolitan region: reference data using LMS method

Association between children and adolescents’ body composition with family income

Individual-typological assessment of the body fat component of the examined children and youth

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