Validation of a BMI cut-off point to predict an adverse cardiometabolic profile with adiposity measurements by dual-energy X-ray absorptiometry in Guatemalan children

Redondo, Olga; Villamor, Eduardo; Valdés, Javiera; Bilal, Usama; Caballero, Benjamı́n; Roche, Dina; Kroker, Fernanda; Ramírez‐Zea, Manuel; Franco, Manuel

doi:10.1017/s1368980014001207

Cited by 4 publications

(5 citation statements)

References 47 publications

(90 reference statements)

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“…BMI is widely used to identify individuals at cardiometabolic risk, especially in children ( 14 , 15 ) . However, this index does not distinguish lean mass from fat mass ( 16 ) and it does not allow us to infer about central adiposity, since some studies have shown that children and adolescents classified as lean by BMI have excess fat in the central region ( 17 , 18 ) .…”

mentioning

confidence: 99%

Waist circumference, waist-to-height ratio and conicity index to evaluate android fat excess in Brazilian children

Filgueiras

Vieira

Fonseca

et al. 2018

Public Health Nutr.

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ObjectiveTo evaluate the ability of anthropometric measurements to identify excess android fat and to propose cut-off points for excess central adiposity in children, according to age and sex.DesignA cross-sectional study with children from a municipality of Minas Gerais, Brazil. Receiver-operating characteristic curve analyses were performed to evaluate waist circumference (WC), waist-to-height ratio (WHtR) and conicity index (C-index) in estimating excess android fat by dual energy X-ray absorptiometry (DXA).SettingViçosa, Minas Gerais, Brazil.SubjectsChildren aged 4–9 years (n 788).ResultsOverweight prevalence was 29·1 % and android fat percentage was higher among girls. All central fat measurements were able to discriminate excess android fat in the age groups evaluated, especially WC and WHtR, with cut-off points showing good sensitivity and specificity overall.ConclusionsBecause these methods are easy to obtain and inexpensive, it is possible to use WC, WHtR and C-index in population surveys to evaluate central obesity. The proposed cut-off points showed satisfactory values of sensitivity and specificity and can be used in epidemiological studies.

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mentioning

confidence: 99%

Waist circumference, waist-to-height ratio and conicity index to evaluate android fat excess in Brazilian children

Filgueiras

Vieira

Fonseca

et al. 2018

Public Health Nutr.

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“…The characteristics of all 20 studies [ 4 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 ] are shown in Table 1 . The papers were based on cross-sectional study or cohort study, and were conducted in France, South Africa, the U.S.A., Guatemala, Brazil, England, China, Malaysia, Mexico, and Italy.…”

Section: Resultsmentioning

confidence: 99%

“… The relationship between FMP and FPG: ( A ) 7 studies (study ID: 1–7) [ 18 , 19 , 20 , 21 , 22 , 23 , 24 ] provided the correlation coefficient ( r ); ( B ) stratified by gender in 3 studies (study ID: 2, 6, 7) [ 19 , 23 , 24 ]. …”

Section: Figurementioning

confidence: 99%

“… The relationship between FMP and INS: ( A ) 11 studies (study ID: 1–7, 12, 14–16) [ 18 , 19 , 20 , 21 , 22 , 23 , 24 , 28 , 30 , 31 , 32 ] provided the correlation coefficient ( r ); ( B ) stratified by countries in 5 studies (study ID: 1, 5, 6, 12, 16) [ 18 , 22 , 23 , 28 , 32 ]; ( C ) stratified by overweight and obesity in 3 studies (study ID: 2, 3, 14) [ 19 , 20 , 30 ]. …”

Section: Figurementioning

confidence: 99%

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The Relationship between Fat Mass Percentage and Glucose Metabolism in Children and Adolescents: A Systematic Review and Meta-Analysis

et al. 2022

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To assess the relationship between fat mass percentage (FMP) and glucose metabolism in children aged 0–18 years we performed a systematic review of the literature on Medline/PubMed, SinoMed, Embase and Cochrane Library using the PRISMA 2020 guidelines up to 12 October 2021 for observational studies that assessed the relationship of FMP and glucose metabolism. Twenty studies with 18,576 individuals were included in the meta-analysis. The results showed that FMP was significantly associated with fasting plasma glucose (FPG) (r = 0.08, 95% confidence interval (CI): 0.04–0.13, p < 0.001), fasting plasma insulin (INS) (r = 0.48, 95% CI: 0.37–0.57, p < 0.001), and homeostasis model assessment (HOMA)- insulin resistance (IR) (r = 0.44, 95% CI: 0.33–0.53, p < 0.001). The subgroup analysis according to country or overweight and obesity indicated that these associations remained significant between FMP and INS or HOMA-IR. Our results demonstrated that there is a positive relationship between FMP and FPG. Moreover, subgroup analysis according to country or overweight and obesity indicated that FMP is significantly associated with INS and HOMA-IR. This is the first known systematic review and meta-analysis to determine the associations of FMP with glucose metabolism in children and adolescents.

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“…Currently, dual-energy x-ray absorptiometry (DXA) is widely used to precisely quantify body fatness in both clinical and research settings [6]. Although various overfat cutoffs have been proposed for pediatric populations [7][8][9][10][11], most were arbitrarily defined without linking to health outcomes. In addition, multiple body fat indices could be derived from DXA body composition analysis.…”

Section: Introductionmentioning

confidence: 99%

Overfat cutoffs and the optimal combination of body fat indices for detecting cardiometabolic risk among school‐aged children

Dong

Cheng

Liu

et al. 2023

Obesity

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Objective: This study aimed to develop cutoffs and the optimal combination for body fat indices for screening cardiometabolic risk (CMR) among the pediatric population.Methods: This cross-sectional study consisted of 8710 (50.3% boys) Chinese children aged 6 to 18 years. Body fat indices, including fat mass index (FMI), body fat percentage, trunk to leg fat ratio (TLR), and android to gynoid fat ratio, were derived from dual-energy x-ray absorptiometry scans. The area under the receiver operating characteristic curve was used to determine the best combination and optimal cutoffs of body fat indices to identify CMR.Results: Compared with anthropometry-based obesity measures, i.e., BMI and waist circumference, the FMI + TLR combination presented statistically higher area under the receiver operating characteristic curve values for discriminating CMR and its clustering.The optimal overfat cutoffs of FMI and TLR were respectively determined at the 75th percentile in boys and at the 80th percentile of FMI and the 75th percentile of TLR in girls. Moreover, simplified thresholds derived from age-group-merged cutoffs showed similar performance as optimal cutoffs in detecting CMR.Conclusions: Both the optimal and simplified overfat cutoffs were provided for the Chinese pediatric population. The use of FMI and TLR together allows for adequate screening of CMR and its clustering.

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Validation of a BMI cut-off point to predict an adverse cardiometabolic profile with adiposity measurements by dual-energy X-ray absorptiometry in Guatemalan children

Cited by 4 publications

References 47 publications

Waist circumference, waist-to-height ratio and conicity index to evaluate android fat excess in Brazilian children

Waist circumference, waist-to-height ratio and conicity index to evaluate android fat excess in Brazilian children

The Relationship between Fat Mass Percentage and Glucose Metabolism in Children and Adolescents: A Systematic Review and Meta-Analysis

Overfat cutoffs and the optimal combination of body fat indices for detecting cardiometabolic risk among school‐aged children

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