scholarly journals Body fat percentages measured by dual-energy X-ray absorptiometry corresponding to recently recommended body mass index cutoffs for overweight and obesity in children and adolescents aged 3–18 y

2002 ◽  
Vol 76 (6) ◽  
pp. 1416-1421 ◽  
Author(s):  
Rachael W Taylor ◽  
Ianthe E Jones ◽  
Sheila M Williams ◽  
Ailsa Goulding
2009 ◽  
Vol 3 ◽  
pp. CMPed.S3446 ◽  
Author(s):  
Deepa Pandit ◽  
Shashi Chiplonkar ◽  
Anuradha Khadilkar ◽  
Vaman Khadilkar ◽  
Veena Ekbote

Background Indians are suspected to have higher body fat percent at a given body mass index (BMI) than their western counterparts. Objective To estimate percent body fat in apparently healthy Indian children and adolescents by dual-energy X-ray absorptiometry (DXA) and explore linkages of BMI with body fat percent for better health risk assessment. Methods Age, weight, height of 316 boys and 250 girls (6–17 years) were recorded. Body composition was measured by dual-energy X-ray absorptiometry (DXA). High adiposity was defined as body fat percent (BF%) > McCarthy's 85th percentile of body fat reference data. Receiver operating characteristic analysis (ROC) was carried out for CDC BMI Z score for it's ability to judge excess fatness. Results High BF% was seen in 38.5% boys and 54.0% girls (p < 0.05). Percentage of obese children as defined by the BMI cutoffs of International Obesity Task Force (IOTF) (2.1% for boys and 6.9% for girls) was lower than that using Indian (13.7% for boys and 20.9% for girls) and CDC (14.1% for boys and 20.9% for girls) cutoffs. The point closest to one on the ROC curves of CDC BMI Z-scores indicated high adiposity at BMI cutoff of 22 at the age of 17 yr in both the genders. Conclusions Higher body fat percentage is associated with lower BMI values in Indian children.


2016 ◽  
Vol 41 (2) ◽  
pp. 186-193 ◽  
Author(s):  
Alexandra P Frost ◽  
Tracy Norman Giest ◽  
Allison A Ruta ◽  
Teresa K Snow ◽  
Mindy Millard-Stafford

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.


2013 ◽  
Vol 33 (5) ◽  
pp. 349-355 ◽  
Author(s):  
Ines Gonzalez-Casanova ◽  
Olga L. Sarmiento ◽  
Julie A. Gazmararian ◽  
Solveig A. Cunningham ◽  
Reynaldo Martorell ◽  
...  

2005 ◽  
Vol 99 (1) ◽  
pp. 103-107 ◽  
Author(s):  
Sochung Chung ◽  
Mi-Yeon Song ◽  
Hyun-Dae Shin ◽  
Deog-Yoon Kim ◽  
Qing He ◽  
...  

The aim of the study was to investigate in premenopausal women whether the relationship between percentage body fat (PBF) and body mass index (BMI; in kg/m2) differs between Korean Asians (Ko-As) living in Seoul, South Korea, and Caucasians (Ca) living in New York City. Healthy premenopausal women (50 Ko-As; 38 Ca), ages 22–50 yr, were studied. Weight, height, and PBF by dual-energy X-ray absorptiometry were measured. Total body dual-energy X-ray absorptiometry data were collected using GE-Lunar systems (Prodigy-Korea and DPXL-New York), and all scan analyses were performed by one technician in New York. Similar soft tissue phantoms were used for daily instrument calibrations at both sites. The relationship between PBF and BMI was assessed by multiple regression analysis with race, age, reciprocal of BMI (1/BMI), and a race-by-age interaction as the final independent variables. Race ( P = 0.003) and 1/BMI ( P < 0.001) were significantly related to PBF in this model. A significant race-by-age interaction ( P = 0.039) indicated that the slope of the lines for PBF vs. age differed between Ko-As and Ca. This study demonstrates in a Ko-As sample that the BMI-fat relationship differs significantly from that in a comparable group of Caucasian women. Investigators who use BMI as an index of fatness should be aware of the well documented differences in the relationship of BMI and fatness across race/ethnic groups.


2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Mohammad Reza Salamat ◽  
Amir Hossein Salamat ◽  
Iraj Abedi ◽  
Mohsen Janghorbani

Objective.Although several studies have investigated the association between body mass index (BMI) and bone mineral density (BMD), the results are inconsistent. The aim of this study was to further investigate the relation between BMI, weight and BMD in an Iranian men population.Methods.A total of 230 men 50-79 years old were examined. All men underwent a standard BMD scans of hip (total hip, femoral neck, trochanter, and femoral shaft) and lumbar vertebrae (L2-L4) using a Dual-Energy X-ray Absorptiometry (DXA) scan and examination of body size. Participants were categorised in two BMI group: normal weight <25.0 kg/m2and overweight and obese, BMI ≥ 25 kg/m2.Results.Compared to men with BMI ≥ 25, the age-adjusted odds ratio of osteopenia was 2.2 (95% CI 0.85, 5.93) and for osteoporosis was 4.4 (1.51, 12.87) for men with BMI < 25. It was noted that BMI and weight was associated with a high BMD, compatible with a diagnosis of osteoporosis.Conclusions.These data indicate that both BMI and weight are associated with BMD of hip and vertebrae and overweight and obesity decreased the risk for osteoporosis. The results of this study highlight the need for osteoporosis prevention strategies in elderly men as well as postmenopausal women.


2008 ◽  
Vol 136 (1-2) ◽  
pp. 22-27 ◽  
Author(s):  
Gordana Bukara-Radujkovic ◽  
Dragan Zdravkovic

INTRODUCTION Body Mass Index (BMI) in boys and girls is predicted by parental BMI, age and occupation. OBJECTIVE Correlation of BMI among children and adolescents in Banjaluka region (Bosnia and Herzegovina) and parental age, BMI, parents? educational level and occupation, as well as the number of family members were investigated as the possible determinants of overweight and obesity in childhood. METHOD The study included 1204 children and adolescents (578 males, 626 females), 6-17 years old from primary and secondary schools in the Banjaluka region. BMI was calculated from height and weight using the standard formula. Each subject along with his parents answered the questionnaire that contained information about parents? height and weight, educational level and occupation, as well as the number of family members. RESULTS In all studied children, the prevalence of overweight was 12.2% and of obesity 6.1%. Strong positive correlation was found between parental BMI and age (older than 40 years) in males and females (p<0.001), while parental higher BMI and higher educational level had positive correlation only in males (p<0.001). The number of family members showed negative correlation with overweight/obesity only in females. CONCLUSION The prevalence of overweight and obesity in children?s population in the Banjaluka region is 12.2% and 6.1%, respectively. There is a positive correlation of overweight and obesity in children with parental overweight and obesity, as well as older age, and parental higher educational level.


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