Receiver-operating characteristic analyses of body mass index, waist circumference and waist-to-hip ratio for obesity: Screening in young adults in central south of China

Yang, Fang; Lv, Jin-Hai; Lei, Shu‐Feng; Chen, Xiang-Ding; Liu, Man-Yuan; Jian, Wei-Xian; Xu, Hong; Tan, Lijun; Deng, Fei‐Yan; Yang, Yan-Jun; Wang, Yan‐Bo; Sun, Xiao; Xiao, Su-Mei; Jiang, Cheng; Guo, Yan-Fang; Guo, Jiao; Li, Yuan‐Neng; Zhu, Xinyao; Papasian, Christopher J.; Deng, Hong‐Wen

doi:10.1016/j.clnu.2006.04.009

Cited by 44 publications

(45 citation statements)

References 40 publications

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“…According to the results of the present study, we consider that WHR in both sexes is a much weaker predictor; our optimal cut‐offs (0.89 in men, 0.86 in women) are close to those suggested by the WHO and close to Yang et al . (0.86 in men and 0.79 in women)24.…”

Section: Discussionmentioning

confidence: 97%

“…Although some studies report that WHR identifies patients with abdominal obesity, we believe WC might be a more practical measure of abdominal fat mass and total body fat, and is more closely correlated with abdominal adipose tissue than WHR. Yang et al 24 reported that the AUC of WC and BMI for obesity were high in both sexes and subjects aged 20–45 years, and those of WHR were a little lower in the central south of China. According to the results of the present study, we consider that WHR in both sexes is a much weaker predictor; our optimal cut‐offs (0.89 in men, 0.86 in women) are close to those suggested by the WHO and close to Yang et al .…”

Section: Discussionmentioning

confidence: 99%

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Optimal cut‐off levels of obesity indices by different definitions of metabolic syndrome in a southeast rural Chinese population

Pan

Wang

et al. 2016

J of Diabetes Invest

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Aims/IntroductionThe aim of the present study was to compare the cut‐off values and prediction effect of different obesity indices by different definitions of metabolic syndrome (MetS) in Zhejiang Province of China.Materials and MethodsWe carried out a cross‐sectional survey of 10,100 individuals (age 40 years and older) in Jiashan, Zhejiang Province. Receiver operating characteristic analysis was used to examine discrimination and find optimal cut off values of waist circumference (WC), body mass index (BMI), waist‐to‐hip ratio (WHR) and waist‐to‐height ratio (WHtR) to predict two or more non‐adipose components of MetS by The National Cholesterol Education Program Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III) definition modified by the Asia–Pacific region criteria, International Diabetes Federation definition for the Chinese population and Chinese Diabetes Society definitions of MetS.ResultsThe age‐standardized prevalence of MetS was 23.78% vs 28.76% vs 19.37% by The National Cholesterol Education Program Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III), International Diabetes Federation and Chinese Diabetes Society definitions, respectively. Cut‐off values of BMI were approximately 24 kg/m2 both in men and women by three definitions; the average cut‐off values of WC, WHR and WHtR were 83 cm in men vs 81 cm in women, 0.89 in men vs 0.86 in women and 0.50 in men vs 0.51 in women, respectively. The area under receiver operating characteristic curve of BMI was larger than WC both in men and women (P < 0.05); in women, the area under receiver operating characteristic curve of WHtR was larger than WC, and WHR was smaller.ConclusionsMetS is prevalent in Zhejiang Province of China, especially in the female population. BMI and WHtR might be more useful than WC and WHR for predicting two or more non‐adipose components of MetS.

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Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

Optimal cut‐off levels of obesity indices by different definitions of metabolic syndrome in a southeast rural Chinese population

Pan

Wang

et al. 2016

J of Diabetes Invest

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“…In Asian populations, WHR is positively associated with blood pressure and percent body fat and shows better predictive power than BMI (Sakurai et al, 2006; Yang et al, 2006). But there have been no investigations to determine if anthropometric measures predict glycemic control in those individuals already diagnosed with type 2 diabetes.…”

Section: Discussionmentioning

confidence: 99%

Glucose Control in Korean Immigrants With Type 2 Diabetes

Choi

Rankin

2008

West J Nurs Res

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Despite the rising incidence of type 2 diabetes in Korean immigrants, little is known about diabetes control in these individuals. This study’s purpose was to examine glucose control and factors influencing glucose control in Korean immigrants with type 2 diabetes. A cross-sectional descriptive study design was used. Data were collected from 143 Korean immigrant men and women with type 2 diabetes between the ages of 30 and 80. Participants completed questionnaires, a finger stick blood test for glycosylated hemoglobin (HbA1c) and anthropometric measures. The mean HbA1c level was 7.6 % (SD = 1.5; range = 5.6 to 12.5). Less than half of the participants (41.3%) met the American Diabetes Association’s goal of less than 7%. Multiple regression analyses indicated that roughly 22% of variance in HbA1c levels was explained by a linear combination of family diet support, acculturation, body mass index (BMI), waist-to-hip ratio (WHR), the duration of diabetes, the number of diabetic medications, age, gender, and education (R2 = 0.223, F[9,133] = 4.24; p < .0001). After adjusting for demographic and health variables, family diet support, WHR, the duration of diabetes, the number of diabetic medications, and age significantly influenced glucose control. Findings support the positive role of family involvement in diabetes management. Patients with long-standing diabetes, higher WHR, and more diabetic medications deserve special attention because they tend to have higher HbA1c levels. Studies are needed to investigate the negative association of age with HbA1c levels observed in this population.

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“…Waist circumference was measured at the minimum circumference between the iliac crest and the rib cage and HC was measured at the maximum width over the greater trochanters. 18 Waist-hip ratio was then calculated as waist circumference divided by hip circumference.…”

Section: Subcutaneous Fat In Childhood L Ay Et Almentioning

confidence: 99%

Tracking and determinants of subcutaneous fat mass in early childhood: the Generation R Study

Hokken-Koelega

Mook‐Kanamori

et al. 2008

Int J Obes

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Objectives: To examine the development and tracking of subcutaneous fat mass in the first 2 years of life and to examine which parental, fetal and postnatal characteristics are associated with subcutaneous fat mass. Design: This study was embedded in the Generation R Study, a prospective cohort study from early fetal life onward. Subcutaneous fat mass was measured by skinfold thickness (biceps, triceps, suprailiacal, subscapular) at the ages of 1.5, 6 and 24 months in 1012 children. Information about parental, fetal and postnatal growth characteristics was collected by physical and fetal ultrasound examinations and questionnaires. Results: Normal values of subcutaneous fat mass are presented. Total subcutaneous fat mass was higher in girls than in boys at the age of 24 months (P ¼ 0.01). Subjects in the lowest and highest quartiles at the age of 6 months tended to keep their position in the same quartile at the age of 24 months (odds ratios 1.86 (95% confidence interval (CI) 1.3, 2.7)) and 1.84 (95% CI: 1.3, 2.6), respectively). Maternal height and weight, paternal weight, fetal weight at 30 weeks, birth weight and weight at the age of 6 weeks were each inversely associated with subcutaneous fat mass at the age of 24 months after adjustment for current weight at 24 months. Conclusion: This study shows for the first time that subcutaneous fat mass tends to track in the first 2 years of life. Furthermore, the results suggest that an adverse fetal environment and growth are associated with increased subcutaneous fat mass at the age of 24 months. Further studies are needed to examine whether these associations persist in later life.

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Receiver-operating characteristic analyses of body mass index, waist circumference and waist-to-hip ratio for obesity: Screening in young adults in central south of China

Cited by 44 publications

References 40 publications

Optimal cut‐off levels of obesity indices by different definitions of metabolic syndrome in a southeast rural Chinese population

Optimal cut‐off levels of obesity indices by different definitions of metabolic syndrome in a southeast rural Chinese population

Glucose Control in Korean Immigrants With Type 2 Diabetes

Tracking and determinants of subcutaneous fat mass in early childhood: the Generation R Study

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