Prevalence of the metabolic syndrome and overweight among adults in China

Gu, Dongfeng; Reynolds, Kristi; Wu, Xigui; Chen, Jing; Duan, Xin; Reynolds, Robert F.; Whelton, Paul K.; He, Jiang

doi:10.1016/s0140-6736(05)66375-1

Cited by 795 publications

(697 citation statements)

References 38 publications

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“…10 The U-shaped association between all-cause mortality and BMI in Asians investigated by Gu et al 4,20 was similar to that of Western populations, with the lowest all-cause mortality between 23.0 and 27.0, and the authors used this finding to support the use of a common recommendation for defining overweight and obesity in all racial and ethnic groups. The HPFS demonstrated an elevation of adjusted relative risks for men with BMI 25.0-29.9, which is overweight by conventional BMI classification.…”

Section: Discussionmentioning

confidence: 67%

“…2 More recent data continued to demonstrate an increase in the prevalence of obesity in children, adolescents, and adults between 1999 and 2004 in the United States. 3 Epidemiological data on obesity in Asia are comparatively less complete, and Gu et al 4 reported the age-standardized prevalence of overweight (BMIX25.0) to be 26.9% (25.7-28.1) in men and 31.1% (29.7-32.5) in women in China. In Hong Kong, 39.2% of the population was found to be obese (BMI X25.0).…”

Section: Introductionmentioning

confidence: 99%

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Body mass index, physical activity and erectile dysfunction: An U-shaped relationship from population-based study

Cheng

2007

Int J Obes

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Objective: To investigate the relationships between body mass index (BMI), physical activity and erectile dysfunction (ED). Design and subjects: A population representative cross-sectional analytic study of ED in Hong Kong, with two-stage stratified random sampling, and face-to-face interviews conducted by trained interviewers with structured questionnaires. Study subjects were 1506 men aged 26-70. Results: Age (odds ratio (OR) ¼ 1.30; 95% confidence interval (CI) 1.20-1.40), physical activity (OR ¼ 0.91 per 500 kcal/week; 95% CI 0.84-0.98), and general psychological distress (OR ¼ 1.03 per GHQ score; 95% CI 1.00-1.06) were independently associated with ED after multivariate adjustments. An U-shaped relationship between BMI and ED was observed only among men with no exercise (oonce/week): BMI o18.5 (OR ¼ 2.99; 95% CI 1.01-8.86), 18.5-19.9 (OR ¼ 2.66; 95% CI 1.04-6.79), 20.0-20.9 (OR ¼ 1.37; 95% CI 0.49-3.79), 22.0-22.9 (OR ¼ 1.36; 95% CI 0.58-3.17), 23.0-24.9 (OR ¼ 1.66; 95% CI 0.70-3.93), X25.0 (OR ¼ 2.47; 95% CI 1.08-5.67) using BMI 21.0-21.9 as reference, adjusted for age, GHQ and smoking status. Being physically active (X1000 kcal/week) only reduced the risk of ED (OR ¼ 0.40, 95% CI 0.16-0.95) in men who were obese, adjusted for age, GHQ, smoking status and BMI. Conclusions: BMI and physical activity independently and differentially affected ED risk. BMI had greatest influence with low physical activity, and physical activity exerted greatest influence when BMI was high. This is the first study to demonstrate an U-shaped relationship between BMI and ED risk, but only in men with no exercise, and to identify underweight as a risk factor for ED. This relationship has clinical implications for obese as well as underweight individuals.

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Section: Discussionmentioning

confidence: 67%

Section: Introductionmentioning

confidence: 99%

Body mass index, physical activity and erectile dysfunction: An U-shaped relationship from population-based study

Cheng

2007

Int J Obes

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“…The transition to urbanized lifestyles, especially in terms of dietary habits, have inevitably led to an increase in the prevalence of obesity‐related diseases, such as diabetes, hypertension and MetS. A cross‐sectional survey carried out in 2005 in east China showed that 12.7% of men and 10.1% of women in an urban area, compared with 1.7% of men and 9.7% of women in a rural area, had MetS12. Another survey carried out in 2010 in Zhejiang Province of China showed that the prevalence of MetS was 21.48% (18.03% for men and 25.13% for women), defined by modified ATPIII criteria13.…”

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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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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“…MetS is considered a problem of global proportions, affecting both developed and underdeveloped countries in a rapidly progressive way (3,(14)(15)(16)(17) . The prevalence in different countries, nevertheless, varies considerably.…”

Section: Discussionmentioning

confidence: 99%

Prevalence and determinants of the metabolic syndrome among Tunisian adults: results of the Transition and Health Impact in North Africa (TAHINA) project

Belfki¹,

Ali²,

Aounallah-Skhiri³

et al. 2012

Public Health Nutr.

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Objective: To determine the prevalence of metabolic syndrome (MetS) and its components and to evaluate the relationship between this diagnosis and cardiovascular risk factors, demographic and socio-economic variables. Design: A cross-sectional study using a questionnaire including information on sociodemographic and CVD risk factors. Blood pressure, anthropometric indices, fasting glucose and lipid profile were measured. MetS was defined according to the criteria of the National Cholesterol Education Program, Adult Treatment Panel III. Setting: The whole Tunisian territory; Transition and Health Impact in North Africa (TAHINA) project. Subjects: A total of 4654 individuals (1840 men and 2814 women), aged 35 to 74 years, who participated in the Tunisian national survey. Results: The overall prevalence of MetS was 30?0 %, higher in women (36?1 %) than in men (20?6 %; P , 0?001). In both genders MetS prevalence increased significantly with age (P , 0?001), but this increase was more important in women. Multiple regression analyses showed that the odds for MetS increased significantly with urban area for both men and women (P , 0?05 and P , 0?001, respectively). The multivariate models showed also that the odds for MetS increased significantly with increasing level of education and in those with a family history of CVD for men (both P , 0?05) and after the menopausal transition for women (P , 0?05). Conclusions: The study highlights the MetS problem in a middle-income developing country. There is an urgent need for a comprehensive, integrated, population-based intervention programme to ameliorate the growing problem of MetS in Tunisians.

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Prevalence of the metabolic syndrome and overweight among adults in China

Cited by 795 publications

References 38 publications

Body mass index, physical activity and erectile dysfunction: An U-shaped relationship from population-based study

Body mass index, physical activity and erectile dysfunction: An U-shaped relationship from population-based study

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

Prevalence and determinants of the metabolic syndrome among Tunisian adults: results of the Transition and Health Impact in North Africa (TAHINA) project

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