How Many US Children and Adolescents with Overweight and Obesity Could Improve Their Percent Body Fat by Exercising?: Meta-Analytic Based Estimates

2021 ◽  
Author(s):  
George A. Kelley ◽  
Kristi S. Kelley ◽  
Russell R. Pate
Nutrients ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 73
Author(s):  
Elizabeth A. Thomas ◽  
Adnin Zaman ◽  
Marc-Andre Cornier ◽  
Victoria A. Catenacci ◽  
Emma J. Tussey ◽  
...  

Accumulating evidence suggests that later timing of energy intake (EI) is associated with increased risk of obesity. In this study, 83 individuals with overweight and obesity underwent assessment of a 7-day period of data collection, including measures of body weight and body composition (DXA) and 24-h measures of EI (photographic food records), sleep (actigraphy), and physical activity (PA, activity monitors) for 7 days. Relationships between body mass index (BMI) and percent body fat (DXA) with meal timing, sleep, and PA were examined. For every 1 h later start of eating, there was a 1.25 (95% CI: 0.60, 1.91) unit increase in percent body fat (False Discovery Rate (FDR) adjusted p value = 0.010). For every 1 h later midpoint of the eating window, there was a 1.35 (95% CI: 0.51, 2.19) unit increase in percent body fat (FDR p value = 0.029). For every 1 h increase in the end of the sleep period, there was a 1.64 (95% CI: 0.56, 2.72) unit increase in percent body fat (FDR p value = 0.044). Later meal and sleep timing were also associated with lower PA levels. In summary, later timing of EI and sleep are associated with higher body fat and lower levels of PA in people with overweight and obesity.


2021 ◽  
Vol 1 ◽  
Author(s):  
Rebekka Mumm ◽  
Anna Reimann ◽  
Christiane Scheffler

Background Over the last 20 years, a decreasing trend in external skeletal robusticity and an increasing trend in overweight and obesity was observed worldwide in adults and children as modern lifestyles in nutritional and activity behavior have changed. However, body mass index (BMI) as a measure for overweight is not an ideal predictor of % body fat (%BF) either in children and adolescents or in adults. On the contrary, it disguises a phenomenon called “hidden obesity”. Objectives We aim to approximate %BF by combining skeletal robusticity and BMI and develop an estimation-based tool to identify normal weight obese children and adolescents. Sample and Methods We analyzed cross-sectional data on height, weight, elbow breadth, and skinfold thickness (triceps and subscapular) of German children aged 6 to 18 years (N=15,034). We used modified Hattori charts and multiple linear regression to develop a tool, the “%BF estimator”, to estimate %BF by using BMI and skeletal robusticity measured as Frame Index. Results Independent of sex and age an increase in BMI is associated with an increase in %BF, an increase in Frame Index is associated with a decrease in %BF. The developed tool “%BF estimator” allows the estimation of %BF per sex and age group after calculation of BMI and Frame Index. Conclusion The “%BF estimator” is an easily applicable tool for the estimation of %BF in respect of body composition for clinical practice, screening, and public health research. It is non-invasive and has high accuracy. Further, it allows the identification of normal weight obese children and adolescents.


Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Amanda E Staiano ◽  
Stephanie T Broyles ◽  
Alok K Gupta ◽  
Peter T Katzmarzyk

Introduction: Expansion of visceral adipose tissue (VAT) associates with adverse metabolic changes. While regular moderate-to-vigorous activity is associated with lower total body fat in children and adolescents, it is unknown how physical activity relates to other adiposity indices, including VAT. Hypothesis: We hypothesized that regular physical activity in children and adolescents associates with lower body fat, percent body fat, abdominal subcutaneous adipose tissue (SAT), and VAT. Methods: The sample included 393 boys and girls aged 5–18 years (45.6% White, 50.6% African American, and 3.8% Other). Body fat and percent body fat were measured by dual-energy x-ray absorptiometry. Abdominal SAT and VAT mass were measured by magnetic resonance imaging between the highest point of the liver and the lower pole of the right kidney (using 5 to 8 cross-sectional slices, 4.76 cm apart). Participants were categorized as being regularly active by self-report: moderate-to-vigorous physical activity of ≥ 60 minutes/day, ≥ 4 days/week. Those who were physically active fewer than 4 days/week were categorized as not regularly active. Results: In this sample of children and adolescents, 45.6% of participants were regularly active. One-way ANCOVAs adjusted for age and sex demonstrated that regularly active youth had significantly less body fat (p<0.01) and lower percent body fat (p<0.01) than those who were not regularly active. One-way ANCOVAs adjusted for age, gender, and body fat, revealed that regularly active children and adolescents had no difference in SAT but had significantly lower amounts of VAT (p<0.05) when compared to those who were not regularly active. Conclusion: Engagement in moderate-to-vigorous physical activity for at least 60 minutes on four or more days of the week in children and adolescents was related to lower body fat, percent body fat and VAT, when compared to those youth who were less active. The promotion of regular physical activity has significant public health implications for body fat accumulation and for controlling excess VAT during childhood and adolescence.


2012 ◽  
Vol 16 (11) ◽  
pp. 2005-2013 ◽  
Author(s):  
Eva Craig ◽  
John Reilly ◽  
Ruth Bland

AbstractObjectiveA variety of methods are available for defining undernutrition (thinness/underweight/under-fat) and overnutrition (overweight/obesity/over-fat). The extent to which these definitions agree is unclear. The present cross-sectional study aimed to assess agreement between widely used methods of assessing nutritional status in children and adolescents, and to examine the benefit of body composition estimates.DesignThe main objective of the cross-sectional study was to assess underweight, overweight and obesity using four methods: (i) BMI-for-age using WHO (2007) reference data; (ii) BMI-for-age using Cole et al. and International Obesity Taskforce cut-offs; (iii) weight-for-age using the National Centre for Health Statistics/WHO growth reference 1977; and (iv) body fat percentage estimated by bio-impedance (body fat reference curves for children of McCarthy et al., 2006). Comparisons were made between methods using weighted kappa analyses.SettingRural South Africa.SubjectsIndividuals (n 1519) in three age groups (school grade 1, mean age 7 years; grade 5, mean age 11 years; grade 9, mean age 15 years).ResultsIn boys, prevalence of unhealthy weight status (both under- and overnutrition) was much higher at all ages with body fatness measures than with simple anthropometric proxies for body fatness; agreement between fatness and weight-based measures was fair or slight using Landis and Koch categories. In girls, prevalence of unhealthy weight status was also higher with body fatness than with proxies, although agreement between measures ranged from fair to substantial.ConclusionsMethods for defining under- and overnutrition should not be considered equivalent. Weight-based measures provide highly conservative estimates of unhealthy weight status, possibly more conservative in boys. Simple body composition measures may be more informative than anthropometry for nutritional surveillance of children and adolescents.


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