Waist Circumference Distribution of Chinese School-age Children and Adolescents

Ji, Chuanyi; Sung, Rita Y T; Ma, Guansheng; Ma, Jun; He, Zhiyao; Chen, Tian-Jiao

doi:10.1016/s0895-3988(10)60026-8

Cited by 50 publications

(31 citation statements)

References 26 publications

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“…Totally 10,423 adolescents were screened, among which 1,320(12.66%) were overweight, 699(6.70%) were obese and 8404 have normal weight. Depending on BMI, subjects were divided into normal weight group and high BMI group according to the Chinese BMI-for-age/gender reference [16]. In high-BMI group, 1,613 adolescents were randomly invited to have a physical examination by distributing informed consent forms.…”

Section: Methodsmentioning

confidence: 99%

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Glycolipid metabolic status of overweight/obese adolescents aged 9- to 15-year-old and the BMI-SDS/BMI cut-off value of predicting dyslipidemiain boys, Shanghai, China: a cross-sectional study

Gong

Chen

et al. 2013

Lipids Health Dis

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BackgroundThe prevalence of adolescents’ obesity and overweight has dramatically elevated in China. Obese children were likely to insulin resistance and dyslipidemia, which are risk factors of cardiovascular diseases. However there was no cut-off point of anthropometric values to predict the risk factors in Chinese adolescents. The present study was to investigate glycolipid metabolism status of adolescents in Shanghai and to explore the correlations between body mass index standard deviation score (BMI-SDS) and metabolic indices, determine the best cut-off value of BMI-SDS to predict dyslipidemia.MethodsFifteen schools in Shanghai’s two districts were chosen by cluster sampling and primary screening was done in children aged 9-15 years old. After screening of bodyweight and height, overweight and obese adolescents and age-matched children with normal body weight were randomly recruited in the study. Anthropometric measurements, biochemical measurements of glycolipid profiles were done. SPSS19.0 was used to analyze the data. Receiver operating characteristic (ROC) curves were made and the best cut-off values of BMI-SDS to predict dyslipidemia were determined while the Youden indices were maximum.ResultsFive hundred and thirty-eight adolescents were enrolled in this research, among which 283 have normal bodyweight, 115 were overweight and 140 were obese. No significant differences of the ages among 3 groups were found. There were significant differences of WC-SDS (p<0.001), triacylglycerol (p<0.05), high and low density lipoprotein cholesterol (p<0.01), fasting insulin (p<0.01) and C-peptide (p<0.001) among 3 groups. Significant difference of fasting glucose was only found between normal weight and overweight group. Significant difference of total cholesterol was found between obese and normal weight group. There was no significant difference of glycated hemoglobin among 3 groups. The same tendency was found in boys but not in girls. Only HDL-C reduced and TG increased while BMI elevated in girls. The best cut-off value of BMI-SDS was 1.22 to predict dyslipidemia in boys. The BMI cut-off was 21.67 in boys.ConclusionOverweight and obese youths had reduced insulin sensitivity and high prevalence of dyslipidemia.When BMI-SDS elevated up to 1.22 and BMI was higher than 21.67 in boys, dyslipidemia may happen.

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Section: Methodsmentioning

confidence: 99%

“…As BMI and WC change with age and sex, BMI standard deviation score (BMI-SDS) and WC standard deviation score (WC-SDS)were calculated by LMS (L(lambda), M (mu), S (sigma)) method [19] for each one according to the references of BMI and WC distribution of Chinese children and adolescents [16,20]. …”

Section: Methodsmentioning

confidence: 99%

Glycolipid metabolic status of overweight/obese adolescents aged 9- to 15-year-old and the BMI-SDS/BMI cut-off value of predicting dyslipidemiain boys, Shanghai, China: a cross-sectional study

Gong

Chen

et al. 2013

Lipids Health Dis

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“…In our study, metabolic syndrome was defined, using the criteria proposed by De Ferranti et al [14], as three or more of the following variables and cut-off points: (1) fasting TG ≥ 1.1 mmol/L (100 mg/dL); (2) HDL-C in boys < 1.2 mmol/L (45 mg/dL), in girls < 1.3 mmol/L (50 mg/dL); (3) fasting glucose ≥ 6.1 mmol/L (110 mg/dL); (4) waist circumference (WC) > 75th percentile of the same age and sex for Chinese children and adolescents aged 7-18 years [15,16]; (5) systolic blood pressure and/or diastolic blood pressure >90th percentile of the same age and sex according to the recommended blood pressure reference cut-offs for Chinese children and adolescents [17]. …”

Section: Methodsmentioning

confidence: 99%

Prevalence and association between obesity and metabolic syndrome among Chinese elementary school children: a school-based survey

et al. 2010

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BackgroundChina has experienced an increase in the prevalence of childhood overweight/obesity over the last decades. The purpose of this study was to examine the prevalence of obesity and metabolic syndrome among Chinese school children and determine if there is a significant association between childhood obesity and metabolic syndrome.MethodsA cross-sectional study was conducted among 1844 children (938 males and 906 females) in six elementary schools at Guangzhou city from April to June 2009. The body mass index (BMI), waist circumference, blood pressure, Tanner stage, lipids, insulin and glucose levels were determined. Criteria analogous to ATPIII were used for diagnosis of metabolic syndrome in children.ResultsAmong 1844 children aged 7-14 years, 205 (11.1%) were overweight, and 133 (7.2%) were obese. The prevalence of metabolic syndrome was 6.6% overall, 33.1% in obese, 20.5% in overweight and 2.3% in normal weight children. Multiple logistic regression analysis showed that BMI (3rd quartile)(OR 3.28; 95%CI 0.35-30.56), BMI (4th quartile)(OR 17.98; 95%CI 1.75-184.34), homeostasis model assessment (HOMA-IR) (2nd quartile) (OR2.36; 95% CI 0.46-12.09), HOMA-IR (3rd quartile) (OR 2.46; 95% CI 0.48-12.66), HOMA-IR (4th quartile) (OR3.87; 95% CI 0.72-20.71) were significantly associated with metabolic syndrome.ConclusionsThe current epidemic of obesity with subsequent increasing cardiovascular risk factors has constituted a threat to the health of school children in China. HOMA-IR and BMI were strong predictors of metabolic syndrome in children. Therefore, rigorous obesity prevention programs should be implemented among them.

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“…Normal WC was defined as WC < sexand age-specific 75th percentile, and an abdominally overweight child was defined as a child with WC ≥ sex-and age-specific 75th percentile according to the reference values for screening cardiovascular risk factors in Chinese children and adolescents [19,20]. Because the distribution of WC changes as children mature, and the patterns of growth also differ between boys and girls, WC was transformed into sex-and age-specific standard deviation (SD) scores (z-scores) to allow the association between WC and hypertension can be evaluated independent of the sex and age of the child [21].…”

Section: Measurementsmentioning

confidence: 99%

Intensified association between waist circumference and hypertension in abdominally overweight children

Dong

Wang

Yang

et al. 2016

Obesity Research & Clinical Practice

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Waist Circumference Distribution of Chinese School-age Children and Adolescents

Cited by 50 publications

References 26 publications

Glycolipid metabolic status of overweight/obese adolescents aged 9- to 15-year-old and the BMI-SDS/BMI cut-off value of predicting dyslipidemiain boys, Shanghai, China: a cross-sectional study

Glycolipid metabolic status of overweight/obese adolescents aged 9- to 15-year-old and the BMI-SDS/BMI cut-off value of predicting dyslipidemiain boys, Shanghai, China: a cross-sectional study

Prevalence and association between obesity and metabolic syndrome among Chinese elementary school children: a school-based survey

Intensified association between waist circumference and hypertension in abdominally overweight children

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