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This study compared the associations among motor competence, health-related fitness, and physical activity measured by gold standard and field-based methods in children. A total of 248 first-grade children (153 boys) aged 6–7 years participated in the study. Motor competence was assessed using the Test of Gross Motor Development, Second Edition (TGMD −2). Gold standard measures were percent body fat using dual-energy X-ray absorptiometry, peak oxygen uptake per weight using a gas analyser, and moderate-to-vigorous physical activity using accelerometers. Field-based measures were body mass index, maximum speed during progressive running on a treadmill, and a physical activity questionnaire. Multiple regression analysis adjusted for age and sex was used to examine the associations of motor competence with one of the health-related variables and compared differences by measurement method. The results indicated that field-based measures models showed lower associations (R2 = 0.02–0.17) than the gold standard (R2 = 0.21–0.27) and lower standardised regression coefficients for sex and motor competence, except for maximum speed. In conclusion, gold standard measures resulted in stronger associations between motor competence, and health-related fitness and physical activity in children. Examining the contribution of motor competence in children's health using field-based tests can underestimate it. [ABSTRACT FROM AUTHOR]

Little is known about whether body composition changes differently between children with and without obesity following 1 year of nonintervention. Therefore, we investigated body composition in early pubescent children (8–12 yr) with and without obesity before and after a period of 1 year of nonintervention. Early pubescent children (8–12 yr; Tanner stage ≤ 3) with (body mass index, BMI ≥ 95th percentile) and without obesity (15th < BMI < 85th percentile) were recruited. At baseline, 88 children (n = 25 without obesity) completed dual-energy X-ray absorptiometry imaging (DXA) for body composition measurements [%body fat, fat mass, fat-free mass (FFM)]. One year later, 47 participants (n = 15 without obesity) returned for repeat testing. The children without obesity were older (11.0 ± 1.0 vs. 10.0 ± 1.2 yr; means ± SD) (P = 0.013). There was no group difference in height, and both groups increased in height similarly after 1 year (147.7 ± 8.9 to 154.5 ± 9.2 cm without vs. 145.6 ± 5.8 to 152.5 ± 5.9 cm with obesity) (P < 0.001). Weight was greater (P < 0.001) in children with obesity at baseline as was the increase in weight after 1 yr (9.25 vs. 5.82 kg) (interaction, P = 0.005). Fat mass increased by 4.4 kg in children with obesity and by 1.1 kg in children without obesity (interaction, P < 0.001). However, there was no difference in fat-free mass between those with and without obesity at baseline (29.9 ± 5.9 vs. 31.6 ± 4.8 kg) (P = 0.206) with both groups increasing similarly over 1 year (gain of 4.87 vs. 4.85 kg with and without obesity, respectively). Without intervention, the increase in fat mass is four times greater in children with obesity after 1 year as compared with children without obesity. NEW & NOTEWORTHY: Little is known about changes in body composition in children with and without obesity following 1 year of nonintervention. We report that without intervention, fat mass gain is significantly greater in children with obesity after 1 year compared with those without obesity. Body mass index (BMI) and %body fat measurements after 1 year yielded no significant increase suggesting that BMI and %fat alone are not suitable measures for tracking changes in adiposity among children. [ABSTRACT FROM AUTHOR]

The pharmacodynamics in patients with high body fat percentage might be similar to those in obese patients. This randomised controlled clinical trial observed the effects of rocuronium in patients with different percent body fats (PBFs). Fifty‐four patients who underwent elective urological or pelvic surgery under general anaesthesia at Shanghai General Hospital were included in the present study; 51 patients were included for data analysis. Patients with normal PBF (<25%) were given a single dose of rocuronium calculated based on total body weight (N‐TBW, control group). Patients with a higher PBF (≥25%) were given a single dose of rocuronium calculated based on total body weight (H‐TBW). Patients with higher PBF and rocuronium were dosed based on fat‐free mass (H‐FFM). A train of four (TOF)‐Watch acceleromyography monitor was used to measure the effects of the rocuronium. H‐TBW (91.9 ± 28.8 s) had significantly shorter onset time than N‐TBW and H‐FFM (p = 0.003). H‐TBW had significantly longer clinical duration time and pharmacological duration time than the other groups (p = 0.000 and 0.000, respectively); the TOF ratio0.25–0.9 time was significantly different among the three groups (p = 0.005). There were no significant differences in the recovery time (p = 0.103) or recovery index (p = 0.159) among the three groups. The effects of rocuronium dosed based on FFM in patients with high PBFs are similar to those in normal patients. A single dose of rocuronium calculated based on TBW might shorten the onset time, prolong the clinical and pharmacological duration times, and prolong the recovery time. [ABSTRACT FROM AUTHOR]

Hydrostatic weighing (HW) requires full submersion with the lungs at residual volume (RV) which is uncomfortable. Therefore, the purpose of this study was to find a more comfortable way to complete HW. A HW system was used to complete three comparisons: comparison 1: change in head position (head above water vs. head below water (HAW vs. HBW)), comparison 2: change in lung volume (total lung capacity (TLC) vs. RV), and comparison 3: change in head and lung volume changes. Participants were separated by males (n = 64) and females (n = 58). Comparison 1: HAW resulted in higher mean percent body fat (PBF) than HBW (4.5% overall, 3.8% in males, 5.4% in females, p < 0.05). Comparison 2: TLC resulted in lower mean PBF than RV (5.1% overall, 5.3% in males, 4.8% in females, p < 0.05). Comparison 3: HAW@TLC resulted in significantly lower (1.5% lower, p = 0.003) mean PBF for males but was not significantly lower for females or overall (0.6% higher, p = 0.39, 0.6% lower, p = 0.18, respectively) compared to HBW@RV. In conclusion, keeping the head above water and taking a deep inhale makes HW a more enjoyable, and accessible experience for everyone while still producing accurate PBF results. [ABSTRACT FROM AUTHOR]

Physical activity is essential for healthy aging. This study aimed to identify an association between physical performance, body fat percentage (%BF), and the perception of oral health-related quality of life (OHRQoL) in independent older adults. Method: A group of active older adults was selected from a government-sponsored reunion center in Mexico City. OHRQoL was assessed using the General Oral Health Index (GOHAI), and nutritional status was assessed using the Mini Nutritional Assessment (MNA) tool. A short physical performance battery (SPPB) was applied, and, for body composition, DXA (dual X-ray absorptiometry) was conducted. Data were analyzed using logistic regression models, and marginal probabilities were obtained. Results: This study involved 366 participants; their mean age was 73.9 (±6.2) years, and 24.9% had type 2 diabetes mellitus (T2DM). OHRQoL information revealed that pain or discomfort in the oral cavity was perceived by 63.9% of the older adults during the previous three months. The SPPB score was low in 159 (43.44%) participants. The logistic regression model revealed that age (OR = 1.13, p < 0.001), T2DM (OR = 2.10, p = 0.009), the risk of malnutrition/malnutrition (OR = 1.76, p = 0.047), high %BF (OR = 1.09, p = 0.009) were associated with deteriorated physical performance. Conclusion: OHRQoL self-perception, excess body fat, and nutritional status impacted physical performance. Aging well requires a comprehensive approach.

Abstract Background The epidemic of overweight and obesity has become a worldwide public health problem. Cardiometabolic diseases may originate in childhood. We investigated the association between percent body fat (PBF) measured by the bioelectrical impedance assay and cardiometabolic risk (CMR) in pediatrics. Methods This cross‐sectional study involved 3819 subjects (6–17 years old) in Shanghai. We assessed the association between PBF and body mass index (BMI) with multiple CMR factors. We examined the risk for cardiometabolic abnormalities attributable to overweight and obesity based on age‐ and sex‐specific PBF Z‐scores and BMI Z‐scores, respectively. Results PBF, but not BMI, was positively associated with multiple CMR factors in males and females except for total cholesterol in females (all p

BACKGROUND: Physical exercise is a well-established method for managing blood pressure (BP). The purpose of this study was to compare the effectiveness of aerobic, resistance, and a combination of both aerobic plus resistance training on BP, body composition (BC), and cardiorespiratory fitness (CRF) among hypertensive patients. METHODS: The total population was sixty hypertensive patients; of these, forty-eight male adults (45.28 ± 7.44, years); with a sedentary lifestyle were randomized to one of the three exercise interventions or a control group. Subjects in all three exercise groups had an equal total exercise time (60 minutes), which included 10-15 minutes of warming up and dynamic stretching, 10-15 minutes of cooling down and static stretching and 30-40 minutes for the main workout. Data were presented as mean (standard deviation, SD) or mean change with 95% confidence intervals (CI). RESULTS: All three-intervention trainings showed improvement in BP, CRF, and BC. However, the most effective intervention training was combined training. Combined training resulted in significant reductions in body composition, resting heart rate (RHR) and, BP: body weight -7.92 kg, BMI -5.96 kg/m2, SBP - 17.75mmHg, DBP -12.5 mmHg, RHR -8.17 bpm, and percent body fat (%BF) -6.49%. The aerobic training group only increased VO2max 12.44 ml/kg/m. CONCLUSION: Compared to aerobic or resistance training alone, a 12-week of combination exercise may offer more comprehensive advantages for those at a higher risk for hypertension. [ABSTRACT FROM AUTHOR]

In humans, body fat accumulation occurs in adipose tissue, which is a useful marker for the assessment of adiposity in the human body. Anthropometric predictors and Skinfold thickness were used to measure body composition. Determination of fat and fat-free mass has considerable interest in the evaluation of body composition and nutritional status in children. Different scholars suggest the use of the skinfold method for the measurement of subcutaneous fat. The present study was done among Bengalee preschool children (479 boys and 471 girls) aged between 2-5 years of Jalpaiguri. In this study, we used the equation for converting anthropometric data to body fat percentage. Body composition characteristics in a correlation with anthropometric dimensions among preschool children of the present study. Comparison of Percent Body Fat, Fat Mass & Fat Mass Index done by using body composition equations. Significant age-combined sex differences were found among most of the anthropometric and body composition variables except Mid Upper Arm Circumference, Hip Circumference, Waist Circumference and Body Mass Index. Most of the adiposity measures such as Percent Body Fat, Fat Mass and Fat Mass Index positively correlated with anthropometric variables. Estimation of body composition variables by comparing two equations (Slaughter and Shaikh & Mahalanabis) in the present sample clearly shows the mean difference for all body composition variables. Consideration of ethnicity may be utilized to develop such body composition equations. [ABSTRACT FROM AUTHOR]

Insufficient dietary diversity in adolescents, and the amount of food consumed is small and incomplete, causing a mismatch between intake and nutritional adequacy in adolescents. The study aimed to analyze the relationship between body fat percent, physical activity, body image, energy intake, carbohydrate intake, and consumption diversity in adolescents in urban areas. The research design was cross-sectional, conducted in 10 public high schools in DKI Jakarta in July–November 2019. The sample used purposive sampling following the inclusion and exclusion criteria provisions. The sampling technique used was random so that 250 students were obtained for each school. Data collection on characteristics, nutritional knowledge, and body image, used a questionnaire that the respondents themselves filled in. Nutritional status data is collected using anthropometric measurements and determined based on BAZ. Nutrient intake data was collected using recall intake, which was measured every 1 x 24 hours, and body fat percent data was collected using an Omron BIA. Physical activity data using the International Physical Activity Questionnaire (IPAQ). Data on adolescent consumption diversity using energy and carbohydrate intake recall measured 1x24 hours. Data was analyzed using the Spearman correlation test. The results stated that there was a relationship (p

Abstract Background Parallel to growth of aging and obese populations, the prevalence of metabolic diseases is rising. How body mass index (BMI) relates to frailty and mortality across frailty levels is controversial. We examined the associations of high BMI with frailty and mortality and explored the effects of percent body fat on these associations. Methods We included 29,937 participants aged ≥50 years from the 2001–2006 National Health and Nutrition Examination Survey (NHANES) cohorts (N=6062; 53.7% females) and from wave 1 (2004) of Survey of Health, Ageing and Retirement in Europe (SHARE) (N=23,875; 54% females). BMI levels were categorized as: normal: 18.5–24.9 kg/m2, overweight: 25.0–29.9, obese grade 1: 30.0–34.9, and obese grade 2 or 3: >35.0. A frailty index (FI) was constructed excluding nutrition-related items: 36 items for NHANES and 57 items for SHARE. We categorized the FI using 0.1-point increments: FI ≤ 0.1 (non-frail), 0.1 0.3 (moderately/severely frail). Percent body fat was measured using DXA for NHANES participants. All-cause mortality data were obtained until 2015 for NHANES and 2017 for SHARE to estimate 10-year mortality risk. All analyses were adjusted for age, sex, educational, marital, employment, and smoking statuses. Results Mean age of participants was 63.3±10.2 years for NHANES and 65.0±10.0 years for SHARE. In both cohorts, BMI levels ≥25 kg/m2 were associated with higher frailty, compared to normal BMI. In SHARE, having a BMI level greater than 35 kg/m2 increased mortality risk in participants with FI≤0.1 (HR 1.31, 95%CI 1.02–1.69). Overweight participants with FI scores >0.3 were at lower risk for mortality compared to normal BMI [NHANES (0.79, 0.64–0.96); SHARE (0.71, 0.63–0.80)]. Higher percent body fat was associated with higher frailty. Percent body fat significantly mediated the relationship between BMI levels and frailty but did not mediate the relationship between BMI levels and mortality risk. Conclusions Being overweight or obese is associated with higher frailty levels. In this study, we found that being overweight is a protective factor of mortality in moderately/severely frail people and obesity grade 1 may be protective for mortality for people with at least a mild level of frailty. In contrast, obesity grades 2 and 3 may be associated with higher mortality risk in non-frail people. The relationship between BMI and frailty is partially explained by body fat.

Objective: Population-level monitoring of body composition requires accurate, biologically-relevant, yet feasible methods for estimating percent body fat (%BF). The aim of this study was to develop and cross-validate an equation for %BF from Body Mass Index (BMI), age, and sex among children with intellectual disability (ID). This study further aimed to examine the performance of an existing BMI-based equation (Deurenberg equation) for %BF in children with ID. Method: Participants were 107 children (63 boys; aged 6-15 years) with ID randomly allocated to development (n = 81) and cross-validation (n = 26) samples. Dual-Energy X-Ray Absorptiometry provided the criterion %BF. Results: The model including BMI, age, and sex (0 = male; 1 = female) had a significant goodness-of-fit in determining %BF (p

Hydrostatic weighing (HW) requires full submersion with the lungs at residual volume (RV) which is uncomfortable. Therefore, the purpose of this study was to find a more comfortable way to complete HW. A HW system was used to complete three comparisons: comparison 1: change in head position (head above water vs. head below water (HAW vs. HBW)), comparison 2: change in lung volume (total lung capacity (TLC) vs. RV), and comparison 3: change in head and lung volume changes. Participants were separated by males (n = 64) and females (n = 58). Comparison 1: HAW resulted in higher mean percent body fat (PBF) than HBW (4.5% overall, 3.8% in males, 5.4% in females, p < 0.05). Comparison 2: TLC resulted in lower mean PBF than RV (5.1% overall, 5.3% in males, 4.8% in females, p < 0.05). Comparison 3: HAW@TLC resulted in significantly lower (1.5% lower, p = 0.003) mean PBF for males but was not significantly lower for females or overall (0.6% higher, p = 0.39, 0.6% lower, p = 0.18, respectively) compared to HBW@RV. In conclusion, keeping the head above water and taking a deep inhale makes HW a more enjoyable, and accessible experience for everyone while still producing accurate PBF results.

Background: It is unclear which body composition affects postoperative pancreatic fistula (POPF) after pancreaticoduodenectomy. In the present study, we evaluated the relationship between nutritional factors, body composition, and POPF. Methods: This was a prospective observational cohort study. Patients who underwent pancreaticoduodenectomy between March 2018 and July 2021 were included in this study. Preoperative body composition was measured using a bioelectrical impedance analyzer. In addition, the predictive factors for POPF were analyzed using logistic regression model. Results: The study included 143 patients. Among these patients, 31 had POPF (POPF group) and 112 did not (non-POPF group) after pancreaticoduodenectomy. For body composition, the percent body fat was significantly higher in the POPF group (26.90 vs 23.48, P = 0.022). Multivariate analysis revealed that alcohol consumption (odds ratio 2.95, P = 0.03), pancreatic duct < 3 mm (odds ratio 3.89, P < 0.01), and percent body fat (odds ratio 1.08, P = 0.01) were significantly independent predictive factors for POPF. When the patients were divided into three groups based on their percent body fat (< 25, 25–35, and ≥ 35), POPF occurred more frequently in the group with ≥ 35 percent body fat (47.1%) than in the < 25 group (15.5%) (P = 0.008). Conclusion: Predictive factors for POPF related to nutritional status, such as percent body fat, should be considered before proceeding to pancreaticoduodenectomy (ClinicalTrials.gov trial registration no. NCT5257434). [ABSTRACT FROM AUTHOR]

Background: This study aimed to investigate the prevalence rate of adult sarcopenic obesity and discuss its predisposing factors. Methods: A total of 14,608 participants including 7521 men and 7087 women aged 18–93 years were enrolled in this study. The definition of sarcopenia was based on appendicular skeletal muscle mass index (ASMI) standards (≤7.0 kg/m2 for men and ≤5.7 grams/m2 for women). The definition of obesity followed percent body fat (PBF) ≥25% for men and ≥35% for women. Sarcopenic obesity was defined as the combination of sarcopenia and obesity diagnosis. Risk factors for the onset of sarcopenic obesity were analyzed by logistic regression analysis, followed by diagnostic value assessment. Results: There were 496 cases of sarcopenic obesity, including 308 male patients and 188 female patients. The overall prevalence rate was 3.4%, with 4.10% for men and 2.65% for women. Compared with nonsarcogenic obesity group, the subjects with sarcogenic obesity showed shorter height and circumference of limbs, arm muscle, neck, chest, waist and hip, lighter weight, lower body mass index (BMI), bone mineral content (BMC), skeletal muscle mass, basal metabolic rate (BMR), body cell mass, fitness score and ASMI, and higher body fat mass, PBF, waist–hip ratio (WHR), visceral fat area (VFA), extracellular fluid/total body fat, and extracellular water/total body water (ECW/TBW; P < 0.01). Based on logistic regression analysis, BMI, BMC, PBF, WHR, BMR, VFA, fitness score, lean balance trunk, lean balance left leg, ASMI, ECW/TBW and the circumference of left arm, left leg, arm muscle, chest waist and hip were considered as risk factors for sarcogenic obesity (P < 0.05). After receiver operating characteristic (ROC) curve analysis of basic condition, muscle mass, and limb condition, ASMI [area under the curve (AUC) = 0.75] showed relatively high diagnostic value for adult sarcopenic obesity; other indicators (AUC <0.75) showed moderate diagnostic value for adult sarcopenic obesity, except for fitness score. According to joint ROC analysis, combination of BMC, PBF, VFA, and ASMI (AUC = 0.78) showed high diagnostic value for adult sarcopenic obesity. ASMI was correlated with BMI (r = 0.246, P < 0.001), BMC (r = 0.798, P < 0.001), WHR (r = 0.197, P < 0.001), BMR (r = 0.932, P < 0.001), PBF (r = −0.761, P < 0.001), and VFA (r = −0.530, P < 0.001). In adult patients with sarcopenic obesity, a decrease in ASMI indicators may be accompanied by a decrease in BMI, BMC, WHR, and BMR as well as an increase in PBF and VFA. Conclusion: The prevalence rate of adult sarcopenic obesity was 3.40%. ASMI was closely correlated with BMI, BMC, PBF, WHR, BMR, and VFA, which may serve as early indicators in the diagnosis of adult sarcopenic obesity. [ABSTRACT FROM AUTHOR]

Background: Parallel to growth of aging and obese populations, the prevalence of metabolic diseases is rising. How body mass index (BMI) relates to frailty and mortality across frailty levels is controversial. We examined the associations of high BMI with frailty and mortality and explored the effects of percent body fat on these associations.Methods: We included 29,937 participants aged ≥50 years from the 2001-2006 National Health and Nutrition Examination Survey (NHANES) cohorts (N=6062; 53.7% females) and from wave 1 (2004) of Survey of Health, Ageing and Retirement in Europe (SHARE) (N=23,875; 54% females). BMI levels were categorized as: normal: 18.5-24.9 kg/m2, overweight: 25.0-29.9, obese grade 1: 30.0-34.9, and obese grade 2 or 3: >35.0. A frailty index (FI) was constructed excluding nutrition-related items: 36 items for NHANES and 57 items for SHARE. We categorized the FI using 0.1-point increments: FI ≤ 0.1 (non-frail), 0.1 < FI ≤ 0.2 (very mildly frail), 0.2 < FI ≤ 0.3 (mildly frail), and FI > 0.3 (moderately/severely frail). Percent body fat was measured using DXA for NHANES participants. All-cause mortality data were obtained until 2015 for NHANES and 2017 for SHARE to estimate 10-year mortality risk. All analyses were adjusted for age, sex, educational, marital, employment, and smoking statuses.Results: Mean age of participants was 63.3±10.2 years for NHANES and 65.0±10.0 years for SHARE. In both cohorts, BMI levels ≥25 kg/m2 were associated with higher frailty, compared to normal BMI. In SHARE, having a BMI level greater than 35 kg/m2 increased mortality risk in participants with FI≤0.1 (HR 1.31, 95%CI 1.02-1.69). Overweight participants with FI scores >0.3 were at lower risk for mortality compared to normal BMI [NHANES (0.79, 0.64-0.96); SHARE (0.71, 0.63-0.80)]. Higher percent body fat was associated with higher frailty. Percent body fat significantly mediated the relationship between BMI levels and frailty but did not mediate the relationship between BMI levels and mortality risk.Conclusions: Being overweight or obese is associated with higher frailty levels. In this study, we found that being overweight is a protective factor of mortality in moderately/severely frail people and obesity grade 1 may be protective for mortality for people with at least a mild level of frailty. In contrast, obesity grades 2 and 3 may be associated with higher mortality risk in non-frail people. The relationship between BMI and frailty is partially explained by body fat. [ABSTRACT FROM AUTHOR]

Objectives: To compare the association between waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), body mass index (BMI), and percentage of body fat (PBF) measured by dual energy X-ray absorptiometry (DXA) method in children and adolescents of Vietnam. Methods: This cross-sectional study included 153 children and adolescents aged 6–18 y old in Ho Chi Minh City, Vietnam. Correlations between indicators were determined using Pearson correlation coefficient (r). Linear regression was carried out with PBF as dependent variable to test the further association of potential indicators. Results: The strongest correlation was found between PBF and WHtR in all pubertal stages (0.712; 0.556; 0.638 in male; 0.635; 0.799; 0.611 in female, respectively). The regression analysis indicated that WHtR was the most effective estimator of PBF ( R adj 2 = 0.69, RMSE = 4.54 for male; R adj 2 = 0.50, RMSE = 4.34 for female) in the model including pubertal stage variable for each gender. Conclusions: The results support the use of WHtR as an effective indicator for detecting adiposity in Vietnamese children and adolescents. [ABSTRACT FROM AUTHOR]

Objective: Population-level monitoring of body composition requires accurate, biologically-relevant, yet feasible methods for estimating percent body fat (%BF). The aim of this study was to develop and cross-validate an equation for %BF from Body Mass Index (BMI), age, and sex among children with intellectual disability (ID). This study further aimed to examine the performance of an existing BMI-based equation (Deurenberg equation) for %BF in children with ID. Method: Participants were 107 children (63 boys; aged 6-15 years) with ID randomly allocated to development (n = 81) and cross-validation (n = 26) samples. Dual-Energy X-Ray Absorptiometry provided the criterion %BF. Results: The model including BMI, age, and sex (0 = male; 1 = female) had a significant goodness-of-fit in determining %BF (p < 0.001; R² = 0.69; SEE =5.68%). The equation was: %BF = – 15.416 + (1.394 × BMI) + (4.538 × age) – (0.262 × age²) + (5.489 × sex). The equation was cross-validated in the separate sample based on (i) strong correlation (r = 0.82; p < 0.001) and non-significant differences between actual and predicted %BF (28.6 ± 9.6% and 30.1 ± 7.1%, respectively); (ii) mean absolute error (MAE) = 4.4%; and (iii) reasonable %BF estimations in Bland-Altman plot (mean: 1.48%; 95% CI: 12.5, -9.6). The Deurenberg equation had a large %BF underestimation (mean: -7.1%; 95% CI: 5.3, -19.5), significant difference between actual and estimated %BF (28.6 ± 9.7% and 21.5 ± 7.0%, respectively; p < 0.001), and MAE = 8.1%. Conclusions: The developed equation with BMI, sex, and age provides valid %BF estimates for facilitating population-level body fat screening among children with ID. [ABSTRACT FROM AUTHOR]

Objective: To assess the screening ability of a high body mass index (BMI) for high adiposity among 8- to 19-year-olds., Study Design: This cross-sectional study included 6454 National Health and Nutrition Survey participants from 2011 through 2018. Fat and lean mass were measured with dual-energy X-ray absorptiometry (DXA). We expressed adiposity as fat mass index (FMI, kg ÷ m 2 ) and %fat., Results: Based on the Centers for Disease Control and Prevention 95th percentile, a high BMI correctly classified a high FMI for about 95% of participants in each racial and ethnic group. About 81% (Blacks) to 90% (Hispanics) of participants with a high BMI also had a high FMI. Further, children with a high BMI were 17 (Hispanics) to 46 (Blacks) times more likely to have a high FMI than those with a "normal" BMI. The screening ability of high BMI for high %fat was weaker because levels of %fat are influenced by both fat mass (numerator) and lean mass (denominator)., Conclusions: Despite differences in body composition, a high BMI is a very good screening tool for identifying high FMI not only among White 8- to 19-year-olds but also among Asians, Blacks, and Hispanics. Compared with %fat, FMI is likely a better adiposity metric among children and adolescents., (Copyright © 2024. Published by Elsevier Inc.)

Introduction Anti-diabetic drugs used for the treatment of type 2 diabetes mellitus (T2DM) have a unique effect on the body weight and fat distribution of a patient. This study aimed to find out the change in percentage body fat and body composition with the addition of sulfonylureas or dipeptidyl peptidase 4 (DPP-4) inhibitors to metformin monotherapy. Methods An observational 12-week follow-up study was conducted with a sample size of 52 patients. All patients enrolled in the study were evaluated for baseline percentage body fat and body composition parameters including total body weight, total body water, and skeletal muscle mass using the ACCUNIQ BC300, added on to either sulfonylureas or DPP-4 inhibitors over a stable dose of metformin; repeat assessment performed at 4 weeks and 12 weeks, and change in values was noted. Results Of the 52 patients, 28 patients were on sulfonylureas and 24 were on DPP-4 inhibitors. In the sulfonylurea group, there was an increase in percentage body fat from 31.97 ± 8.77% at baseline to 32.65 ± 8.94% at 12 weeks (p = 0.041), while in the DPP-4 inhibitor group, there was a decrease in percentage body fat from 31.87 ± 7.41% at baseline to 31.24 ± 8.5% at 12 weeks (p = 0.102). In the sulfonylurea group, there was a decrease in body weight from 67.25 ± 14.79 kilograms (kg) at baseline to 66.97 ± 14.62 kg at 12 weeks (p = 0.429). In the DPP-4 inhibitor group, there was a decrease in body weight from 66.56 ± 10.82 kg at baseline to 65.76 ± 12.56 kg at 12 weeks (p = 0.079). In the sulfonylurea group, total body water decreased from 32.54 ± 6.65 L at baseline to 32.06 ± 6.51 L at 12 weeks (p = 0.084), while in the DPP-4 inhibitor group, the total body water decreased from 32.46 ± 5.39 L at baseline to 32.18 ± 5.48 L at 12 weeks (p = 0.741). Skeletal muscle mass decreased from 24.78 ± 5.12 kg to 24.4 ± 5.04 kg (p = 0.041) in the sulfonylurea group and from 24.74 ± 4.2 kg to 24.53 ± 4.25 kg (p = 0.666) in the DPP-4 inhibitor group. Conclusion Our study shows that sulfonylureas are associated with an increase in percentage body fat, while there were no significant changes associated with DPP-4 inhibitors when given in addition to metformin. There are no significant changes in body weight associated with sulfonylureas or DPP-4 inhibitors in addition to metformin. Also, sulfonylureas are associated with a decrease in skeletal muscle mass after 12 weeks., Competing Interests: Human subjects: Consent was obtained or waived by all participants in this study. Institutional Ethics Committee issued approval LHMC/IEC/2022/PG Thesis/45. Dr. Ramesh Aggarwal Department of General Medicine Lady Hardinge Medical College & Associated Hospitals New Delhi Sub: IEC approval in respect of the thesis research protocol of Dr. Vishesh Goel, PG student, entitled "Change in percentage body fat at 4 weeks and 12 weeks of addition of Sulfonylureas or DPP-4 inhibitors in type 2 diabetes mellitus patients on metformin.". A meeting of the LHMC, Institutional Ethics Committee (IEC) was held under the chairmanship of Dr Rakesh Kumar on 15/09/2022 in the Swarnjyanti Auditorium, First Floor, MEU Hall, Lady Hardinge Medical College and Associated Hospital, New Delhi. Following members attended the meeting. 1. Dr Rakesh Kumar External Member Chairperson 2. Dr Harish K. Pemde Internal Member Member Secretary and Clinician 3. Mr Rajeev R Singh External Member Social Scientist 4. Dr Monika Bahl External Member Medical Scientist 5. Dr Anup Mohta Internal Member Clinician 6. Dr LH Ghotekar Internal Member Clinician 7. Dr Anita Nangia Internal Member Basic Medical Scientist 8. Dr Manish K. Goel Internal Member Public Health Expert 9. Dr Prerna Kukreti Internal Member Basic Medical Scientist 10. Dr Umesh D Suranagi Internal Member Basic Medical Scientist The above mentioned thesis research protocol is "Approved" for conduct by Dr. Vishesh Goel, as a PG Thesis work under your guidance under the jurisdiction of Lady Hardinge Medical College, and Associated Hospitals, New Delhi. The study should be conducted in accordance with the provisions of New Drugs and Clinical Trial Rules 2019, Good Clinical Practices, and the ICMR Guidelines for Biomedical Research on Human Participants (2017). You are required to inform Member Secretary, IEC, LHMC about any serious adverse events or death of study participants within 24 hours of the incident. Dr. Harish K. Pemde Member Secretary Institutional Ethics Committee, Lady Hardinge Medical College & Associated Hospitals, New Delhi. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work., (Copyright © 2024, Goel et al.)

[Purpose] Compare four quick (approximately 60 s), reliable methods of assessing %body-fat (%BF) among young (Y, 18-34 years), middle-age (M, 35-59 years), and older (O, 60-88 years) healthy-adults. [Participants and Methods] One-hundred-eighty healthy males-and-females were equally (n=30) divided into Y, M, and O age groups to assess %BF. The %BF methods were: 1) Bioelectrical-impedance-Inbody770 (IB)-criterion reference; 2) Body-mass-index (BMI); 3) Abdominal-and-hip circumferences (CIR); and 4) Skinfold (SF). [Results] %BF were significantly different among the four body-fat methods and among the three age-groups for both males-and-females. %BF among IB,BMI,CIR, and SF were, respectively, 15.7 ± 4.7%, 19.6 ± 3.2%, 17.3 ± 3.5%, and 12.1 ± 4.1% for Y-males; 18.3 ± 5.7%, 22.8 ± 3.6%, 19.6 ± 3.6%, and 15.6 ± 4.5% for M-males; 24.4 ± 6.5%, 25.8 ± 3.3%, 24.0 ± 4.5%, and 20.0 ± 4.1% for O-males; 24.9 ± 6.9%, 28.9 ± 4.1%, 29.4 ± 4.6%, and 22.4 ± 6.3% for Y-females; 25.1 ± 7.0%, 31.4 ± 4.7%, 33.0 ± 4.5%, and 25.0 ± 4.5% for M-females; 35.1 ± 6.3%, 35.5 ± 4.3%, 38.4 ± 4.8%, and 26.4 ± 3.7% for O-females. [Conclusion]The most accurate %BF-methods to use in clinical settings are CIR for Y-and-M-males, CIR and BMI for O-males, SF for Y-and M-females, and BMI for O-females. The least accurate %BF methods are BMI and SF for Y-males, BMI for M-males, SF for O-males, BMI and CIR for Y-and M-females, and SF for O-females. While all 4-methods of assessing %BF can easily and quickly be employed in clinical settings, some methods significantly underestimate or overestimate %BF and yield different results among varying age groups and sex. These findings help identify people at early health risk of cardiometabolic disease, with O-males and O-females at higher risk., Competing Interests: The authors have no conflicts of interest to declare., (2024©by the Society of Physical Therapy Science. Published by IPEC Inc.)

Abstract Background Although obesity can be clinically defined by body mass index (BMI), waist circumference, percent body fat, or visceral fat area, it is unclear which specific measure is best associated with mobility disability in oldest-old adults. Methods Among 589 Chinese participants aged 85 years and older in a population-based cohort in Singapore, we measured waist circumference, computed BMI, estimated appendicular skeletal muscle mass, percent body fat, and visceral fat area using bioelectrical impedance analysis, and evaluated mobility disability using the Loco-Check questionnaire. We computed areas under the receiver operating characteristic curves (AUCROC) to compare how well these measures discriminated between those with and without mobility disability. Logistic regression models were used to estimate the odds ratios (OR) and 95% confidence intervals (CI) for the associations between obesity defined by these measures and mobility disability. Results Compared to BMI, which had an AUCROC (95% CI) of 0.68 (0.64–0.72) for the discrimination of mobility disability, only visceral fat area had a significantly higher discriminative performance [AUCROC (95% CI) of 0.71 (0.67–0.75) (Padjusted = 0.002)]. The optimal cut-offs of visceral fat area for the discrimination of mobility disability were ≥ 104 cm2 in men and ≥ 137 cm2 in women. In fully adjusted models, only obesity defined by visceral fat area was significantly associated with mobility disability [OR (95% CI) of 2.04 (1.10–3.77)]; obesity defined by the other measures were not associated with mobility disability after adjusting for visceral fat. Conclusion In oldest-old adults, visceral fat area was the best discriminator for obesity associated with mobility disability.

This study evaluates the cross-sectional trends in body fat percentage (BF%) and body mass index (BMI) percentile rank, and the relationship between the two in 332 (177 boys, 155 girls) 12- to 17-year-old children. Body mass index (BMI) was calculated using measured height and body mass, and sex-specific BMI for age percentile rank was determined using CDC growth charts. Body fat percentage (BF%) was measured with DEXA. Fat mass index (FMI) and fat-free mass index (FFMI) were calculated by normalizing the fat mass and fat-free mass for height. Compared to boys of the same age, girls had significantly higher BF% and FMI values and lower FFMI values. Compared to boys, at a given BMI percentile rank, females had a higher BF% and FMI, and a lower FFMI. In both boys and girls, there was an exponential increase in adiposity above the 70th percentile rank. BMI percentile rank is not an equivalent indicator of body fatness in boys and girls. Other measures of body composition can further inform the practitioner of a child's adiposity. [ABSTRACT FROM AUTHOR]

Malnutrition among adolescents is an important public health issue in India. The aim of the present study was to assess nutritional status and body composition characteristics of adolescent girls and their interrelationships with physical activity and socioeconomic status (SES). Nutritional status and body composition characteristics were assessed in terms of body mass index (BMI), upper arm muscle area by height (UAMAH) and percent body fat (PBF) among 276 Tibetan adolescent girls from Kangra district, Himachal Pradesh. Overall, 12.7% of the girls were in the wasting category (using Z-score based classification for UAMAH) and 9.8% were thin. About 16.3% girls were obese. Significant variabilities of PBF have been observed with respect to age and levels of physical activity and wasting. Adolescent girls were observed to have higher lean body mass than body fat.

Objective: To determine the association of serum cholesterol and body mass index with body composition in the healthy Pakistani adults. Study Design: Cross sectional study. Place and Duration of Study: Physiology Department, Army Medical College Rawalpindi/National University of Medical Sciences (NUMS), in collaboration with Armed Forces Institute of Rehabilitation Medicine (AFIRM) Rawalpindi and Clinical Pathology Laboratory (CPL), Pak-Emirates Military Hospital, Rawalpindi. (Duration to be asked form the authors). Methodology: The total study sample of 100 participants was taken, that comprised of two groups. Group-1 included male participants (n=50) while group-2 included female participants (n=50). The participants were healthy adults of ages 18-60 years having same physical activity background. Body composition of the participants was evaluated by bioelectric impedance analysis machine. Measurement of serum cholesterol was carried out by the Bosh Diagnostic Kit. Body Mass Index (BMI) was determined by the formula. Results: Serum cholesterol was found to be significantly correlated with body fat mass and percent body fat in males (r-value = 0.90 and 0.82, p-value <0.001 and 0.002 respectively) and in females there was significantly positive correlation with the body fat mass (r-value=0.51, p-value 0.007), skeletal muscle mass (r-value = 0.59, p-value 0.005), total body water (r-value=0.67, pvalue 0.006) and fat free mass (r-value=0.47, p-value 0.008). Conclusion: Serum cholesterol and BMI were associated with the body composition in females but with only fat parameters in the males. [ABSTRACT FROM AUTHOR]

This study investigated the relationship between frailty and body composition and the target values for preventing frailty in body composition. Frailty status and body composition such as the percent body fat and skeletal mass index was measured. Logistic regression analysis was performed by sex. Receiver operating characteristic curve was used to extract the cutoff values for body composition. The participants were 259 in females and 84 in males for 343 of which 75.5% females. Among the females, age was a significant independent variable. Percent body fat was significantly associated with frailty status in males, with a cutoff value of 27.6%. The area under the curve was significant (0.689, p < 0.01, sensitivity = 0.574, specificity = 0.784). New target value of percent body fat in males for preventing frailty is identified. Findings of this study could contribute to the establishment of preventive intervention for frailty in clinical practice. [ABSTRACT FROM AUTHOR]

This study investigated the relationship between frailty and body composition and the target values for preventing frailty in body composition. Frailty status and body composition such as the percent body fat and skeletal mass index was measured. Logistic regression analysis was performed by sex. Receiver operating characteristic curve was used to extract the cutoff values for body composition. The participantswere 259 in females and 84 inmales for 343 of which 75.5% females. Among the females, age was a significant independent variable. Percent body fat was significantly associated with frailty status in males, with a cutoff value of 27.6%. The area under the curve was significant (0.689, p < 0.01, sensitivity = 0.574, specificity = 0.784). New target value of percent body fat inmales for preventing frailty is identified. Findings of this study could contribute to the establishment of preventive intervention for frailty in clinical practice. [ABSTRACT FROM AUTHOR]

Santriwati’s bone mass density was associated with the anthropometric profile Background: One group of female adolescents who had nutritional problems was Islamic boarding school students, namely santriwati. Low intake was supported by a poor diet profile that had a risk of developing osteopenia. The problem of osteopenia in adolescents could affect long-term calcium deposits and had an impact on old age and a high risk of osteoporosis. Objective: This study aims to examine the relationship between diet profiles and anthropometric profiles with bone density in female students. Methods: A cross-sectional study of 76 female students who were selected using a simple random sampling technique. Anthropometric profiles measured were body mass index, body fat percent, and waist circumference. Bone density was measured using Dual Energy X-Ray Absorptiometry (DXA). Nutrient intake profiles were obtained based on intake interviews used food recall form 6x24 hours. Data were analyzed using Spearman correlations. Results: Most female students had normal nutritional status, and 14 female students (18.4%) had low bone density. The intake of energy, macronutrients (protein, fat, and carbohydrate), and micronutrients (phosphorus, calcium, and vitamin D) of female students were insufficient. There was a relationship between body mass index (p=0.036; r=0.241) and percent body fat (p=0.027; r=0.254) with bone density. However, the nutrient intake factor has no relationship with bone density (p>0.05). Conclusions: Body mass index and body fat percent are positively correlated with female bone density.

Physical activity is essential for healthy aging. This study aimed to identify an association between physical performance, body fat percentage (%BF), and the perception of oral health-related quality of life (OHRQoL) in independent older adults., Method: A group of active older adults was selected from a government-sponsored reunion center in Mexico City. OHRQoL was assessed using the General Oral Health Index (GOHAI), and nutritional status was assessed using the Mini Nutritional Assessment (MNA) tool. A short physical performance battery (SPPB) was applied, and, for body composition, DXA (dual X-ray absorptiometry) was conducted. Data were analyzed using logistic regression models, and marginal probabilities were obtained., Results: This study involved 366 participants; their mean age was 73.9 (±6.2) years, and 24.9% had type 2 diabetes mellitus (T2DM). OHRQoL information revealed that pain or discomfort in the oral cavity was perceived by 63.9% of the older adults during the previous three months. The SPPB score was low in 159 (43.44%) participants. The logistic regression model revealed that age (OR = 1.13, p < 0.001), T2DM (OR = 2.10, p = 0.009), the risk of malnutrition/malnutrition (OR = 1.76, p = 0.047), high %BF (OR = 1.09, <0.001), and poor OHRQoL (OR = 1.96, p = 0.009) were associated with deteriorated physical performance., Conclusion: OHRQoL self-perception, excess body fat, and nutritional status impacted physical performance. Aging well requires a comprehensive approach.

Purpose: This study aimed to identify the effects of early follicular (EF) and midfollicular (MF) menstrual phases on body composition, resting metabolic rate (RMR), and respiratory quotient (RQ) assessment accuracy to identify an optimal testing period. Methods: Body composition was obtained from a four-compartment (4C) criterion model (fat mass (FM), fat-free mass, body fat percent, and dual-energy x-ray absorptiometry (DXA; FM, lean mass (LM), trunk FM, and trunk LM) in 19 eumenorrheic females (mean ± SD: age, 21.3 ± 3.1 yr, body mass index, 23.6 ± 1.8 kg⋅m-2). RMR (kcal⋅d-1) and RQ (a.u.) were measured via indirect calorimetry for 25 min. Body composition, RMR, and RQ were measured during the EF and MF phases. Dependent-samples t-tests were used to compare outcomes between EF andMF. Results: 4C outcomes were similar between phases (P > 0.05). During EF, the following 4C components were significantly greater (P < 0.05): body volume (mean difference (MD) ± SD, 0.70 ± 1.05 L), extracellular fluid (MD ± SD, 0.27 ± 0.51 L), and body mass (MD ± SD, 0.56 ± 0.80 kg). DXA-measured LM, body fat percent, trunk LM, and trunk FM were similar (P > 0.05); however, DXA FM was significantly greater during EF (MD ± SD, 0.29 ± 0.40 kg; P = 0.005), yet within measurement error of the device. AlthoughRMR was not significantly different between phases (MD± SD, 6.0 ± 190.93 kcal⋅d-1; P> 0.05), RQ was significantly higher during EF (mean ± SD, 0.03 ± 0.06 a.u.; P = 0.029) compared with MF. Conclusions: Body composition from 4C and DXA do not seem to be affected beyond measurement error as a result of compartmental changes from the menstrual cycle. During MF, women oxidized more fat as demonstrated by a lower RQ. Researchers should aim to be more inclusive and schedule testing for females within 11-12 d from the onset of menstruation. [ABSTRACT FROM AUTHOR]

Summary: Currently, the effects of motivational interviewing (MI) on children's anthropometric changes remain unclear. This systematic review and meta‐analysis examined the effects of MI on children's anthropometric changes (body mass index [BMI], waist circumference [WC], and body fat percentage [BF%]). We also assessed potential moderators of MI on children's BMI changes. This systematic review searched five databases (CINAHL, Cochrane, PsycINFO, PubMed, and Web of Sciences) from 2005 to 2020 to evaluate the effects of MI interventions that had a comparison group on children's anthropometric change as outcomes (BMI, WC, or BF%). Thirty‐three articles met the inclusion criteria. We performed random‐effects models and exploratory moderation analyses with mixed‐effects models. The pooled effect size of MI was −0.18 (p = 0.002) on BMI, −0.65 (p < 0.001) on WC, and −0.44 (p = 0.005) on children's BF%. The relationship between MI and BMI changes was significantly moderated by the types of intervener (Q = 9.71, p = 0.021) and the existence of supplemental intervention activities (Q = 9.21, p = 0.002). Other potential moderators included children's age, weight status, intervention setting, and targeted behaviors (eating and/or physical activity). Our findings support the effectiveness of MI interventions on improving children's anthropometric outcomes (i.e., BMI, WC, and BF%). [ABSTRACT FROM AUTHOR]

The purpose of this study was to investigate the way in which anthropometric and fitness measures vary by class year before and after a Division I female field hockey competitive season. Anthropometric (mass and percent body fat) and fitness measures (vertical jump and Yo-Yo Intermittent Recovery Test 1 (Yo-Yo IR1) distance) were collected on 16 athletes (mean ± SD: age = 19.5 ± 0.9 years) before and after a competitive season. Class year, based on the athlete's year in college, was used to group athletes in the study. Body mass, vertical jump height, and Yo-Yo IR1 distance all increased pre to post season (p < 0.05). First-year athletes had a significantly lower body mass, vertical jump height and Yo-Yo IR1 distance compared to other class years across the testing period (p < 0.05). Post season levels for first-years were lower than both pre and post season levels for sophomore or junior athletes. Team mean vertical jump increased 8.9%, with all but two athletes improving. Team mean Yo-Yo IR1 distance increased 16.4%. Athlete training over the course of the study was designed to improve on field playing performance and training was not directly select to improve measures in the study; therefore, the potential success of integrating fitness, speed, and strength development into technical training sessions is indicated. Coaches should be aware that first-year athletes may not be at the same level of conditioning as sophomores and juniors. Coaches should work specifically with the first-year athletes during the season to monitor their fitness levels. [ABSTRACT FROM AUTHOR]

Background: Although obesity can be clinically defined by body mass index (BMI), waist circumference, percent body fat, or visceral fat area, it is unclear which specific measure is best associated with mobility disability in oldest-old adults.Methods: Among 589 Chinese participants aged 85 years and older in a population-based cohort in Singapore, we measured waist circumference, computed BMI, estimated appendicular skeletal muscle mass, percent body fat, and visceral fat area using bioelectrical impedance analysis, and evaluated mobility disability using the Loco-Check questionnaire. We computed areas under the receiver operating characteristic curves (AUCROC) to compare how well these measures discriminated between those with and without mobility disability. Logistic regression models were used to estimate the odds ratios (OR) and 95% confidence intervals (CI) for the associations between obesity defined by these measures and mobility disability.Results: Compared to BMI, which had an AUCROC (95% CI) of 0.68 (0.64-0.72) for the discrimination of mobility disability, only visceral fat area had a significantly higher discriminative performance [AUCROC (95% CI) of 0.71 (0.67-0.75) (Padjusted = 0.002)]. The optimal cut-offs of visceral fat area for the discrimination of mobility disability were ≥ 104 cm2 in men and ≥ 137 cm2 in women. In fully adjusted models, only obesity defined by visceral fat area was significantly associated with mobility disability [OR (95% CI) of 2.04 (1.10-3.77)]; obesity defined by the other measures were not associated with mobility disability after adjusting for visceral fat.Conclusion: In oldest-old adults, visceral fat area was the best discriminator for obesity associated with mobility disability. [ABSTRACT FROM AUTHOR]

Background: Exergaming has been considered a fun solution to promoting a physically active lifestyle. This study examined the impact of an exergaming-based program on urban children's physical activity participation, body composition and perceptions of the program. Methods: A sample of 185 children's physical activity was measured in August 2009 (pretest), and percent body fat was used as index of body composition. Fourth graders were assigned to intervention group engaging in 30 minutes exergaming-based activities 3 times per week, while third and fifth graders were in comparison group. Measurements were repeated 9 months later (posttest). Interviews were conducted among 12 intervention children. Results: ANCOVA with repeated measures revealed a significant main effect for intervention, F(1, 179) = 10.69, P < .01. Specifically, intervention children had significantly greater increased physical activity levels than comparison children. Logistic regression for body composition indicated intervention children did not differ significantly in percent body fat change from comparison children, Chi square = 5.42, P = .14. Children interviewed reported positive attitudes toward the intervention. Conclusions: The implementation of exergaming-based program could have a significantly positive effect on children's physical activity participation and attitudes. Meanwhile, long-term effect of the program on children's body composition deserves further investigation. [ABSTRACT FROM AUTHOR]

This study evaluates the cross-sectional trends in body fat percentage (BF%) and body mass index (BMI) percentile rank, and the relationship between the two in 332 (177 boys, 155 girls) 12- to 17-year-old children. Body mass index (BMI) was calculated using measured height and body mass, and sex-specific BMI for age percentile rank was determined using CDC growth charts. Body fat percentage (BF%) was measured with DEXA. Fat mass index (FMI) and fat-free mass index (FFMI) were calculated by normalizing the fat mass and fat-free mass for height. Compared to boys of the same age, girls had significantly higher BF% and FMI values and lower FFMI values. Compared to boys, at a given BMI percentile rank, females had a higher BF% and FMI, and a lower FFMI. In both boys and girls, there was an exponential increase in adiposity above the 70th percentile rank. BMI percentile rank is not an equivalent indicator of body fatness in boys and girls. Other measures of body composition can further inform the practitioner of a child’s adiposity.

Fleck, SJ, Hayes, A, Stadler, G, Goesch, T, Goldammer, M, and Braun, S. Urine specific gravity effect on total and segmental body composition validity of multifrequency bioelectrical impedance analysis compared with dual energy x-ray absorptiometry. J Strength Cond Res 35(2): 373-384, 2021-The purposes were to compare body composition measures between a specific multifrequency bioelectrical impedance analyzer (InBody770) and dual-energy x-ray absorptiometry (DXA) and determine if hydration status within a specified range affected these measures. Methods included determining urine specific gravity before testing. Urine specific gravity needed to be within typical well-hydrated (n = 37), euhydrated (n = 45), or slightly dehydrated (n = 20) ranges. Segmental and total body composition measures were determined with the InBody770 and by DXA within the same testing session. Paired sample t-tests revealed significant differences (p < 0.005) between InBody770 and DXA for all body composition variables for all 3 hydration statuses, except for trunk fat-free mass (FFM) and trunk fat mass (FM) of the well-hydrated and euhydrated groups and right leg FM and trunk FFM of the slightly dehydrated group. For the total sample (n = 102), InBody770 significantly underestimated total body FM, right arm FFM, left arm FFM, right leg FFM, and left leg FFM with the range of underestimation being between 0.16 and 2.87 kg. The total body FFM by InBody770 was overestimated by 2.33 ± 2.80 kg or 3.6%. Bland-Altman plots supported these results. The major conclusions are that differences between the InBody770 and DXA segmental and total body FFM and FM are not significantly affected by hydration status in the range investigated, and the FM and FFM determined by the 2 devices are generally significantly different. [ABSTRACT FROM AUTHOR]

Background and Purpose: Executive function in normal aging may be modulated by body habitus and adiposity, both factors modified by physical therapist prescriptions. This study measured between-day reliability of executive function metrics in young and older individuals and examined associations between cognition, adiposity, and physical activity. Methods: Forty-three young and 24 older participants underwent executive function assessment via the National Institutes of Health Toolbox Cognition Battery (Dimensional Change Card Sort, Flanker Inhibitory Control and Attention [Flanker], and List Sorting Working Memory [List Sorting]) at 7-day intervals. Between-day reliability was assessed via intraclass correlation (ICC). Responsiveness was assessed via between-day effect size and Cohen's d. Forward stepwise linear regression examined associations between cognition and age, body mass index, percent body fat, and a self-report measure of physical activity (International Physical Activity Questionnaire Short Form). Results and Discussion: Executive function scores were higher for young participants than for older participants (all P <.002), consistent with typical age-related cognitive decline. Reliability of cognitive metrics was higher for older participants (ICC = 0.483-0.917) than for young participants (ICC = 0.386-0.730). Between-day effect sizes were approximately 50% smaller for older participants. Percent body fat significantly correlated with the Flanker Unadjusted Scale (P =.004, R 2 = 0.0772). Neither vigorous nor total physical activity correlated with any cognitive metric. Conclusions: Older participants demonstrated greater between-day reliability for executive function measures, while young participants showed greater capacity to improve performance upon repeat exposure to a cognitive test (especially Flanker). Percent body fat correlated significantly with Flanker scores, while body mass index (an indirect measure of body fat) did not. Self-reported physical activity did not correlate with executive function. Cognitive response to physical therapist–prescribed exercise is a fertile ground for future research. [ABSTRACT FROM AUTHOR]

The high rates and long-term medical consequences of childhood obesity make it a public health crisis requiring effective diagnosis, treatment, and prevention. Although BMI is an adequate screening tool for obesity, monitoring BMI change is not always the best measure of success in treating patients in a pediatric weight management program. Our retrospective study evaluated the proportion of patients that achieved favorable changes in body composition by bioelectrical impedance analysis in the absence of improvements in BMI, BMI percentile, or percent of the 95th percentile for BMI. It was found that 30% of patients whose BMI increased by 1.0 kg/m2 or more, 31.6% of patients with stable or increasing BMI percentiles, and 28% with stable or increasing percent of the 95th percentile for BMI demonstrated an improvement in body composition (skeletal muscle mass and body fat percentage). Body composition is an important measure of success for a subset of patients who otherwise may believe that their efforts in lifestyle change have not been effective. Our results suggest that including body fat percentage as a measure of success in evaluating the progress of patients participating in a pediatric weight management program is appropriate and may more accurately track success than change in BMI or BMI percentile alone. [ABSTRACT FROM AUTHOR]

Abstract Background The prevalence of low vitamin D status is increasing globally, and Lebanon is not spared. The objectives of this study are to determine the prevalence and correlates of low vitamin D status, and to assess the association between percent body fat and vitamin D status, independently of obesity. Methods A cross-sectional study was performed on NDU employees. Data on dietary intake, physical activity, lifestyle, health status, and demographic variables were collected during a face-to-face interview. Anthropometric measures (weight, height and waist circumference) were measured and body composition was assessed using the bioelectrical impedance analysis (BIA) machine InBody 720 (Biospace, Seoul, Korea). The Nutritionist Pro diet analysis software version 31.0 was used to estimate dietary intake of vitamin D. Serum 25 hydroxyvitamin D (25(OH)D) was measured using enzyme linked immunosorbent assay kit (ELISA) (Calbiotech, Spring Valley, California, USA). Vitamin D status was assessed according to the National Osteoporosis Foundation (sufficiency: ≥ 75 nmol/L / ≥30 ng/mL) and the Institute of Medicine cut-offs (adequacy: ≥50 nmol/L / ≥20 ng/mL). Statistical analyses were performed by SPSS version 22. Results A total of 344 employees (50% Male) aged between 20 and 74 years participated in the study. More than half of the participants were overweight and obese. Mean serum vitamin D concentrations were 28.2 ± 13.9 ng/mL. Among participants, 37.5% of our study population had 25(OH)D ≥ 30 ng/mL, and 68.3% had 25(OH)D ≥ 20 ng/mL. Individuals with low vitamin D status had significantly higher percent body fat (PBF) (p

Rapid growth in childhood and obesity are highly prevalent in congenital deficiency infants, but the associations between them remain controversial. This meta-analysis was performed to explore the effects of rapid growth on body mass index (BMI) and percent body fat (PBF), and to clarify potential confounders. A systematic search was performed using electronic databases including EMBASE (1985 to July 2019) and Medline (1966 to July 2019) for English articles. China National Knowledge Infrastructure Chinese citation database (CNKI) and WANFANG database were used to search articles in Chinese. Reference lists were also screened as supplement. All relevant studies that compare BMI or PBF between rapid group and control group were identified. The definition of rapid growth should be clearly specified. Means and standard deviations/95% confidence intervals (CIs) of BMI and PBF should be available. Relevant information was extracted independently by two reviewers. Study quality was reassessed using the Newcastle–Ottawa Scale. Publication bias and heterogeneity were detected. The random effect model was adopted for combined and stratified analysis. About the effect of rapid growth on BMI, seventeen researches (4473 participants) involving 49 comparisons were included. Pooled analysis showed rapid group had higher BMI of 0.573 (95% CI, 0.355 to 0.791; P < 0.001). Stratified analyses revealed that catch-up weight gain, follow-up age >6 years old, rapid growth duration >2 years, full-term, comparing rapid growth SGA infants with control SGA infants, and from developed and developing countries, would all lead to higher BMI in rapid groups. About the effect of rapid growth on PBF, eleven researches (4594 participants) involving 37 comparisons were included. Pooled analysis showed rapid group had higher PBF of 2.005 (95% CI, 1.581 to 2.429; P < 0.001). Subgroup analyses suggested that catch-up weight gain, follow-up age ≤6 years old, rapid growth duration >2 years, full-term, comparing rapid growth SGA infants with control AGA infants, and participants from developing countries, would lead to increased PBF in rapid groups. Rapid growth has a positive correlation with BMI and PBF. However, stratified analyses show that it is catch-up weight gain that lead to higher BMI and PBF, but not catch-up growth. In addition, rapid growth have long-term effect on BMI and short-term effect on PBF. Rapid growth duration longer than 2 years may increase the risk effect of rapid growth on BMI and PBF. But given that rapid growth would induce multiple health outcomes apart from BMI and PBF, the benefits and risks of rapid growth must be carefully considered and weighted. [ABSTRACT FROM AUTHOR]

Our objective was to identify sex-specific age 5- to 17-year body composition (body mass index (BMI), % body fat, fat mass index, fat-free mass index) trajectories, compare trajectories assigned using age 5 (AGE5) data to those assigned using all available (ALL) data, and compare BMI assignments to other body composition assignments. Cluster analysis was used to identify low, medium, and high trajectories from body composition measures obtained from dual energy x-ray absorptiometry (DXA) scans at 5, 9, 11, 13, 15, and 17 years in a birth cohort followed longitudinally (n = 469). Moderate agreement was observed for comparisons between AGE5 data and ALL data cluster assignments for each body composition measure. Agreement between cluster assignments for BMI and other body composition measures was stronger using ALL data than using AGE5 data. Our results suggest that BMI, % body fat, fat mass index, and fat free mass index trajectories are established during early childhood, and that BMI is a reasonable predictor of body composition appropriate to track obesity in public health and clinical settings. [ABSTRACT FROM AUTHOR]

The purpose of this study was to evaluate the validity of whole body percent fat (%BF) and segmental fat-free mass (FFM) using multi-frequency bioelectrical impedance analysis (MF-BIA) and dual-energy x-ray absorptiometry (DEXA) in college-aged adults. Sixty-two participants male (n = 32) and female (n = 30) completed MF-BIA and DEXA measurements following established pre-test guidelines. %BF and segmental FFM (right arm, left arm, trunk, right leg, and left leg) were collected and analyzed. The MF-BIA significantly (p < 0.05) underestimated %BF for all participants, females, and males compared to DEXA. In addition, MF-BIA significantly (p < 0.05) underestimated FFM in the arms and legs in all participants and males with the exception of the left arm in all subjects while significantly overestimating FFM in the trunk. In females, the MF-BIA overestimated FFM in the arms and trunk while significantly (p < 0.05) underestimating FFM in the legs. Difference plots also indicated that the underestimation of FFM from MF-BIA in the arms and legs increased as the amount of FFM increased. Thus, our findings suggested that the MF-BIA may not be accurate for measuring whole %BF and segmental FFM in the college-aged population. [ABSTRACT FROM AUTHOR]

This study aimed to evaluate the domain-specific physical activity (PA) levels and sitting time of a sample of university students and examine the association of PA with percent body fat. Two hundred and twenty-one students were included in the analysis. We administered the long form of the International Physical Activity Questionnaire (IPAQ) twice within one-month interval. Total PA as well as occupational, transportation-, housework-, and leisure-related PA were assessed, in addition to sitting time. Dietary intake was derived from six non-consecutive 24-hour dietary recalls. Percent body fat (dependent variable) was analyzed using a bioelectrical impedance analyzer (BIA). Multivariate logistic regression, adjusted for potential confounders, examined the associations of domain-specific PA and sitting time with percent body fat. Men had higher levels of total and leisure PA than women. All participants had prolonged sitting time, with 48% having a sitting time of more than 10.15 hours/day. In multivariate analysis, moderate leisure PA, compared to vigorous PA was associated with a lower percent body fat. This association remained statistically significant even after adjustment for energy intake and sitting time. Housework-related PA was associated with a higher percent body fat. Moderate leisure PA was highly associated with percent body fat even after adjustment for confounding variables. Adequate interventions targeting this kind of leisure should be promoted among universities students. • Association between domain-specific PA and percent body fat was examined. • Men had a higher prevalence of moderate and vigorous PA level than women. • Moderate versus vigorous leisure PA was associated with a lower percent body fat. • The above association remained significant after adjustment for sitting time. • Participants with higher housework related PA had higher percent body fat. [ABSTRACT FROM AUTHOR]

Recently recognized important indicators of body composition are fat mass (FM), fat-free mass (FFM) and percent body fat (PBF). The aim of this cross-sectional study is to determine body composition of the pre-adolescent children by using FM, FFM, and PBF. This study was performed using data from 584 children (281 boys and 303 girls) aged 6-10 years of Ahom descent from upper Assam state, Northeast India. Four anthropometric measurements i.e. height, weight, skinfold at triceps (TSF) and sub-scapular (SSF) were taken to calculate FM, FFM, FMI, FFMI, PBF, PBF for age (PBFZ), body mass index(BMI). Age-specific mean values of FM ranged from 2.12-4.00 kg (boys) and 2.16-4.40 kg (girls) and the agespecific mean values of FFM ranged from 14.45-23.93 kg (boys) and 14.01-23.03 kg (girls). The highest PBF value was observed at the age of 6 years for both groups of the children while the lowest value was observed at the age of 10 years and 9 years for boys and girls respectively. Sex-specific mean differences between sexes were statistically significant in SSF, PBF, FM, and FMI. For future investigations in clinical and epidemiological studies, these results are very important as they can be used to identify the risk of lower or higher adiposity and body composition using PBF, FM, and FFM. [ABSTRACT FROM AUTHOR]

Objectives: To contribute to our understanding of the drivers of body composition during adolescence we sought to employ valid and reliable measures to investigate cross-sectional and longitudinal relationships between percentage body fat (%BF) and physical activity (PA), moderate and vigorous PA (MVPA), sedentary time (ST), total energy, sugar and fat intake.Design: Longitudinal cohort study.Methods: We measured 556 (289 male) participants at age 12.4 (SD 0.4) years, and 269 (123 males) at 16.3 (SD 0.4) years, for %BF (dual energy X-ray absorptiometry); habitual PA, MVPA, ST (accelerometry); and dietary intake ('multi-pass' weekday and weekend 24-h recall). Accounting for likely under-reporting of energy intake (Goldberg cut-off), general linear mixed modelling was used to generate relationships with %BF.Results: Cross-sectional analyses indicated that 10min more MVPA per day was associated with 0.6 lower %BF (95%CI 0.4-0.9, p<0.001), and 10min less ST/day with 0.07 lower %BF (95%CI 0.00-0.15, p<0.001), independently of PA. In contrast, %BF was unrelated to total energy (p=0.4), sugar intake (p=0.2) or fat intake (p=0.9). Longitudinal analysis showed that if PA was increased by 3% (10,000 counts/day) over the 4 years, then %BF was reduced by 0.08 (95%CI 0.05-0.12, p=0.06).Conclusions: The independent relationships of %BF with PA and ST, but absence of relationships with energy, sugar or fat intake, suggest that general community campaigns in a developed country directed at reducing adolescent obesity through modifications to energy intake and output would benefit from a more concerted focus on the latter. [ABSTRACT FROM AUTHOR]

This study examined the body composition, nutritional knowledge, behaviors, attitudes, and educational needs of senior schoolboy rugby players in Ireland. Methods: Participants included 203 male rugby players age 15--18 yr competing at Senior School's Cup level in Leinster, Ireland. Estimation of body composition included measurement of height, weight, and percentage body fat (PBF; using bioelectrical impedance analysis, Tanita BC-418). Nutritional knowledge, behaviors, attitudes, and education needs were assessed by questionnaire. Results: The range of PBF was 5.1-25.3%. Sixty-eight percent of the players in this study had a healthy PBF (10-20%), 32 (22%) were classified as underweight (<10% body fat), and 9.7% (n = 14) were overweight. Assessment of nutritional knowledge demonstrated poor knowledge of the foods required for refueling, appropriate use of sports drinks, and the role of protein in muscle formation. Alcohol consumption and dietary supplement use were reported by 87.7% and 64.5%, respectively. A perception that greater body size enhances sport performance did not predict dietary supplement use. Nutritional advice had been previously sought by 121 players from coaches (66.9%), magazines (42.1%), Web sites (38.8%), peers (35.5%), family (28.1%), sport organizations (16.5%), and health professionals (8.2%). Nutritional knowledge was no better in these players, nor did better nutritional knowledge correlate with positive dietary behaviors or attitudes. Conclusions: Most players had a healthy PBF. Despite a positive attitude toward nutrition, poor nutritional knowledge and dietary practices were observed in many players. Young athletes' nutritional knowledge and dietary practices may benefit from appropriate nutritional education. [ABSTRACT FROM AUTHOR]