Differences in body composition between Singapore Chinese, Beijing Chinese and Dutch children

Deurenberg, P.; Deurenberg-Yap, Mabel; Foo, L F; Schmidt, Günter; Wang, J

doi:10.1038/sj.ejcn.1601569

Cited by 69 publications

(57 citation statements)

References 22 publications

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“…For example, Rush and colleagues reported that for a given BMI, Maori and Pacific Island girls had lower percentage fat levels compared to European girls (27). Similarly, Deurenberg and colleagues showed that for the same BMI, Singapore children had significantly higher percentage fat levels than Beijing and Dutch children (28). This clearly illustrates that BMI is inadequate for detecting ethnic differences in LM and adiposity.…”

Section: Discussionmentioning

confidence: 89%

Validation of Bioelectrical Impedance Analysis in Adolescents Across Different Ethnic Groups

Haroun¹,

Taylor

Viner³

et al. 2010

Obesity

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Adolescent obesity is difficult to assess in multi‐ethnic populations using BMI, due to variability in the BMI–fatness relationship. We aimed to describe body composition (BC), and to validate leg–leg bioelectrical impedance analysis (BIA), in adolescents from different ethnic groups using deuterium (D2O) as the reference method. Measurements were made of weight, height, total body water (TBW), and BIA (TANITA TBF‐300) in 110 white, 170 Asian, and 102 black adolescents aged 11–15 years. TBW was converted to lean mass (LM) using assumed hydration of lean tissue. General linear models were used to compare BC by D2O between the ethnic groups. BC values from D2O were compared with TANITA values, and used to generate ethnic‐specific prediction equations in the whole sample, and also in equation‐generation (group 1) and cross‐validation (group 2) subsamples. Ethnic variability in BMI did not reflect variability in adiposity. Asians had less LM than white and black adolescents, and less fat mass (FM) than white girls. TANITA in‐built equations did not predict BC accurately across ethnic groups, with significant bias in white and Asian males, and Asian and black females. The new equation generated from the entire sample removes ethnic‐specific mean biases. The group 1 equation showed no significant bias in any ethnic group when tested in group 2. We found significant variability in BC between ethnic groups that was not reflected by BMI. Manufacturers' equations are unsuitable for predicting BC in multi‐ethnic populations, and our new equations are recommended.

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Section: Discussionmentioning

confidence: 89%

Validation of Bioelectrical Impedance Analysis in Adolescents Across Different Ethnic Groups

Haroun¹,

Taylor

Viner³

et al. 2010

Obesity

View full text Add to dashboard Cite

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“…Body composition is an important indicator of health status in children and adolescents (Norgan, 1990;Immink et al, 1992;Rolland-Cachera, 1995;Hills & Byrne, 1998;Malina et al, 1998;Bunc, 2001;Deurenberg et al, 2003). In the last decades, information about the relationships between body composition and physical fitness in children from developed countries has been published (Malina, 1975(Malina, , 1994Beunen et al, 1983;Malina et al, 1995Malina et al, , 1998.…”

Section: Introductionmentioning

confidence: 99%

Body composition and physical fitness of undernourished South African rural primary school children

et al. 2005

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Objective: The purpose of this study was to determine the relationships between the body composition characteristics, body mass index (BMI), sum of skinfolds (SSF), % body fat (%BF), fat-free mass (FFM) and waist-to-hip ratio (WHR), and nine physical fitness items in undernourished rural primary school children in Ellisras, South Africa. Design: A cross-sectional study. Setting: The study consisted of 462 boys and 393 girls who were aged 7-14 y. Measurements: Five body composition measures were assessed: BMI, SSF, %BF, FFM and WHR. Nine physical fitness test items were assessed: standing long jump, bent arm hang, sit-ups, 10 Â 5 m shuttle run, 50 m sprint, 1600 m run, flamingo balance, sit and reach, plate tapping. Results: BMI was highly correlated with FFM (r ¼ 0.7, Po0.001). In line with findings from Western countries, regression coefficients (B) showed that children with higher BMI or SSF performed worse in bent arm hang (girls, B ¼ À0.84, Po0.001, and B ¼ À0.06, P ¼ 0.02, respectively) and in 1600 m run (B ¼ 6.68, Po0.001). BMI was significantly associated with flamingo balance (B ¼ 0.26, P ¼ 0.04). WHR was positively associated with bent arm hang (B ¼ 9.37, P ¼ 0.03), and inversely with sit and reach (B ¼ À7.48, P ¼ 0.01). In contrast, significant relationships were found between BMI and standing long jump (B ¼ 0.74, P ¼ 0.04), sit and reach (B ¼ 0.51, Po0.001), flamingo balance (B ¼ 0.26, P ¼ 0.04) and plate tapping (B ¼ À19, P ¼ 0.01). SSF was significantly associated with sit and reach (B ¼ 0.04, P ¼ 0.03). Significant inverse associations were found between FFM and bent arm hang (girls, B ¼ À0.06, P ¼ 0.05), 1600 m run (girls, B ¼ À2.33, P ¼ 0.003) and 50 m run (boys, B ¼ À0.11, P ¼ 0.006). FFM was significantly associated with standing long jump (boys, B ¼ 0.99, Po0.001; girls, B ¼ 0.73, Po0.001), flamingo balance (B ¼ 0.17, Po0.001), and with sit and reach (boys, B ¼ 0.59, P ¼ 0.03).

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“…Indeed, results from a recent study of children from three different ethnic groups (Singapore Chinese, Beijing Chinese and Dutch) strongly suggest that the relationship between body fat percentage and BMI is different among children of different ethnic background. 22 If this is the case, and as Deurenberg et al 22 suggest, this observation could have implications for the relevance and use of growth charts and BMI cutoff points for different ethnic groups.…”

Section: Commentsmentioning

confidence: 99%

Ethnic differences in the relationship between fasting leptin and BMI in children

et al. 2003

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OBJECTIVE:To compare the relationship between fasting serum leptin levels and body mass index (BMI) in children from different ethnic groups. SUBJECTS: Children aged 6-10 y from rural Gambia (n ¼ 471) and central Italy (n ¼ 839). MEASUREMENTS: Anthropometry (z-score of BMI) and fasting serum leptin concentrations. RESULTS: The Italian children had significantly higher mean BMI z-scores than the Gambian children (males: Italy 1.58, Gambia À1.44, Pr0.0001; females: Italy 1.33, Gambia -1.42, Pr0.0001) and significantly higher serum leptin concentrations (males: Italy 8.86 ng ml À1 , Gambia 1.78 ng ml À1 , Pr0.0001; females: Italy 11.31 ng ml À1 , Gambia 2.22 ng ml À1 , Pr0.0001). A significantly different relationship was observed between z-score of BMI and serum leptin levels in the Gambian and the Italian children for both boys and girls. CONCLUSION: A different relationship exists between z-score of BMI and leptin levels in these two groups of children from very diverse ethnic backgrounds. Future studies using detailed measures of body composition and energy balance are needed to help understand this relationship.

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Differences in body composition between Singapore Chinese, Beijing Chinese and Dutch children

Cited by 69 publications

References 22 publications

Validation of Bioelectrical Impedance Analysis in Adolescents Across Different Ethnic Groups

Validation of Bioelectrical Impedance Analysis in Adolescents Across Different Ethnic Groups

Body composition and physical fitness of undernourished South African rural primary school children

Ethnic differences in the relationship between fasting leptin and BMI in children

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