In Nonobese Children, Fitness and BMI Are Independent Predictors of Fasting Insulin

2015 ◽  
Vol 27 (2) ◽  
pp. 203-207
Author(s):  
Andrew M. Watson ◽  
Jens Eickhoff ◽  
Blaise A. Nemeth ◽  
Aaron L. Carrel
Keyword(s):  
Middle School ◽  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Body Fat ◽  
School Children ◽  
Percent Body Fat ◽  
Fasting Insulin ◽  
Z Score ◽  
Middle School Children

Objective:Although fitness and obesity have been shown to be independent predictors of cardiometabolic disease risk in obese children, this interaction is not well defined in nonobese children. The purpose of this study was to define the relationships between peak aerobic capacity, body composition, and fasting insulin levels in nonobese middle school children.Study Design:148 middle school children (mean age 11.0 ± 2.1 years, 49% male) underwent determination of body mass index (BMI) z-score, fasting glucose, fasting insulin, body composition by DXA scan (lean body mass and body fat percentage), and peak oxygen uptake per kg of lean body mass (VO2peak). Univariate correlations and multivariate regression analysis were used to identify independent predictors of fasting insulin using age, sex, percent body fat, body mass index z-score, and VO2peak.Results:fasting insulin was significantly related to VO2peak (r =−0.37, p < .001), percent body fat (r = .27, p < .001), and BMI z-score (r = .33, p = .002). After inclusion in the multivariate model, VO2peak (p = .018) and body mass index z-score (p = .043) remained significant predictors of fasting insulin, while age (p = .39), sex (p = .49), and percent body fat (p = .72) did not.Conclusions:Among nonobese middle school children, fasting insulin is independently related to aerobic fitness after accounting for age, sex, and body composition. Public health efforts to reduce cardiometabolic disease risk among all adolescents should include exercise programs to increase cardiovascular fitness.

scholarly journals Concordance of obesity classification between body mass index and percent body fat among school children in Saudi Arabia

2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Abdulrahman Al-Mohaimeed ◽  
Saifuddin Ahmed ◽  
Khadiga Dandash ◽  
Mohammed Saleh Ismail ◽  
Nazmus Saquib
Keyword(s):  
Body Mass Index ◽  
Saudi Arabia ◽  
Body Mass ◽  
Body Fat ◽  
School Children ◽  
Percent Body Fat

The Effect of Body Mass Index on Academic Achievement in Middle School Children

2006 ◽  
Vol 38 (Supplement) ◽  
pp. S116
Author(s):  
Dawn P. Coe ◽  
James M. Pivarnik ◽  
Christopher J. Womack ◽  
Mathew J. Reeves ◽  
Robert M. Malina
Keyword(s):  
Middle School ◽  
Academic Achievement ◽  
Body Mass Index ◽  
Body Mass ◽  
School Children ◽  
Middle School Children

Relationships among Selected Attributes and Three Measures of Upper Body Strength and Endurance in Elementary School Children

1992 ◽  
Vol 75 (3_suppl) ◽  
pp. 1115-1123 ◽  
Author(s):  
Sherry L. Folsom-Meek ◽  
James Herauf ◽  
Nicholas A. Adams
Keyword(s):  
Body Mass Index ◽  
Elementary School ◽  
Body Mass ◽  
Body Fat ◽  
School Children ◽  
Elementary School Children ◽  
Upper Body ◽  
Percent Body Fat ◽  
Body Strength ◽  
Upper Body Strength

The purpose of this investigation was to assess (a) proportions of children unable to perform each of three measures of upper body strength and endurance—pull-up, flexed-arm hang, and modified pull-up; (b) relationships among selected attribute variables of age, weight, percent body fat, and body mass index, and the three measures of upper body strength and endurance; and (c) the attribute variables which best predict scores for the three measures of upper body strength and endurance. Subjects were 104 elementary school children in Grades 1 through 6. Percentages of children obtaining zero scores were computed. Intercorrelations among the attribute and upper body strength and endurance variables were examined for significance and effect size. For each of the three measures of upper body strength and endurance, a max R2 forward stepwise, multiple regression analysis was performed to identify which attribute variables best predict the score of that particular measure. Analyses indicated that age and percent body fat were the best predictors of pull-up and flexed-arm hang scores, whereas age and body mass index best predicted the modified pull-up score.

Pre-pregnancy body mass index is associated with offspring body composition in adulthood before adiposity-related disorders: a retrospective cohort

2020 ◽  
pp. 1-17
Author(s):  
Ilana Eshriqui ◽  
Angélica Marques Martins Valente ◽  
Luciana Dias Folchetti ◽  
Bianca de Almeida-Pititto ◽  
Sandra Roberta G. Ferreira
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Body Fat ◽  
Retrospective Cohort ◽  
Statistical Significance ◽  
Directed Acyclic Graphs ◽  
Health Study ◽  
Appendicular Skeletal Muscle ◽  
Three Body

Abstract Objective: To investigate the association between maternal pre-pregnancy body mass index (BMI) and offspring body composition in adulthood. Design: Retrospective cohort. Undergraduates of nutrition or nutritionists were recruited at the baseline of the Nutritionists’ Health Study between 2014 and 2017. Maternal pre-pregnancy BMI and current life aspects were self-reported through online questionnaires. Three body compartments were DXA-determined. The following variables were obtained: body-fat (%), fat mass index (FMI) (kg/m2), android-to-gynoid fat ratio, visceral adipose tissue (VAT) (cm3), appendicular skeletal muscle mass index (ASMI) (kg/m2), total bone and femur mineral content (g) and density (g/cm2). Linear regression adjusted according to directed acyclic graphs recommendation was performed. Setting: São Paulo, Brazil. Participants: Healthy non-pregnant women (aged 20-45 years) (n=150). Results: Median age and BMI were 22 years (IQR=20; 29) and 22.3 kg/m2 (IQR=20.4; 25.3). Pre-pregnancy BMI≥25 kg/m2 was reported by 14.7% of mothers. In fully adjusted models, maternal pre-pregnancy BMI was associated with their daughters’ body-fat % (β=0.31; 95%CI=0.0004; 0.63), FMI (β=0.17; 95%CI=0.03; 0.30, android-to-gynoid ratio (β=0.01; 95%CI=0.004; 0.02) and VAT (β=0.09; 95%CI=0.02; 0.16), but not with total bone density (β=0.001; 95%CI=-0.003; 0.006) and content (β=7.13; 95%CI=-4.19; 18.46). Direct association with ASMI was also detected, but lost statistical significance when participants whose mothers were underweight were excluded. Conclusions: Maternal pre-pregnancy body mass index was directly associated with offspring general and visceral adiposity but seem not to be associated with bone mass. Results reinforce importance of avoiding excess of maternal adiposity, as an attempt to break the vicious cycle of obesity transmission.

Limitations of body mass index for counseling individuals with unilateral lower extremity amputation

2016 ◽  
Vol 41 (2) ◽  
pp. 186-193 ◽  
Author(s):  
Alexandra P Frost ◽  
Tracy Norman Giest ◽  
Allison A Ruta ◽  
Teresa K Snow ◽  
Mindy Millard-Stafford
Keyword(s):  
Body Mass Index ◽  
Lower Extremity ◽  
Health Risk ◽  
Body Mass ◽  
Body Fat ◽  
Lower Limb ◽  
Dual Energy ◽  
Limb Loss ◽  
Percent Body Fat ◽  
X Ray

Background: Body composition is important for health screening, but appropriate methods for unilateral lower extremity amputees have not been validated. Objectives: To compare body mass index adjusted using Amputee Coalition equations (body mass index–Amputee Coalition) to dual-energy X-ray absorptiometry in unilateral lower limb amputees. Study design: Cross-sectional, experimental. Methods: Thirty-eight men and women with lower limb amputations (transfemoral, transtibial, hip disarticulation, Symes) participated. Body mass index (mass/height2) was compared to body mass index corrected for limb loss (body mass index–Amputee Coalition). Accuracy of classification and extrapolation of percent body fat with body mass index was compared to dual-energy X-ray absorptiometry. Results: Body mass index–Amputee Coalition increased body mass index (by ~ 1.1 kg/m2) but underestimated and mis-classified 60% of obese and overestimated 100% of lean individuals according to dual-energy X-ray absorptiometry. Estimated mean percent body fat (95% confidence interval) from body mass index–Amputee Coalition (28.3% (24.9%, 31.7%)) was similar to dual-energy X-ray absorptiometry percent body fat (29.5% (25.2%, 33.7%)) but both were significantly higher ( p < 0.05) than percent body fat estimated from uncorrected body mass index (23.6% (20.4%, 26.8%)). However, total errors for body mass index and body mass index–Amputee Coalition converted to percent body fat were unacceptably large (standard error of the estimate = 6.8%, 6.2% body fat) and the discrepancy between both methods and dual-energy X-ray absorptiometry was inversely related ( r = −0.59 and r = −0.66, p < 0.05) to the individual’s level of body fatness. Conclusions: Body mass index (despite correction) underestimates health risk for obese patients and overestimates lean, muscular individuals with lower limb amputation. Clinical relevance Clinical recommendations for an ideal body mass based on body mass index–Amputee Coalition should not be relied upon in lower extremity amputees. This is of particular concern for obese lower extremity amputees whose health risk might be significantly underestimated based on body mass index despite a “correction” formula for limb loss.

Body mass index and percent body fat: a meta analysis among different ethnic groups

1998 ◽  
Vol 22 (12) ◽  
pp. 1164-1171 ◽  
Author(s):  
P Deurenberg ◽  
M Yap ◽  
WA van Staveren
Keyword(s):  
Body Mass Index ◽  
Ethnic Groups ◽  
Body Mass ◽  
Body Fat ◽  
Meta Analysis ◽  
Percent Body Fat

A comparison of body mass index and percent body fat as predictors of cardiovascular risk factors

2019 ◽  
Vol 13 (1) ◽  
pp. 570-575 ◽  
Author(s):  
Hosein Sheibani ◽  
Habibollah Esmaeili ◽  
Maryam Tayefi ◽  
Maryam Saberi-Karimian ◽  
Susan Darroudi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Body Mass ◽  
Body Fat ◽  
Percent Body Fat
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