Central Rather Than Overall Obesity Is Related to Diabetes in the Chinese Population: The InterASIA Study

Hu, Dongsheng; Xie, Jing; Fu, Pengyu; Zhou, Jing; Yu, Dahai; Whelton, Paul K.; He, Jiang; Gu, Dongfeng

doi:10.1038/oby.2007.333

Cited by 49 publications

(38 citation statements)

References 34 publications

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“…Several surveys with a relatively small sample size have been conducted in China. For example, one study from the metropolis of Shanghai found that the prevalence of overweight/obesity (BMI ≥ 25 kg/m 2 ) was 44.6% among adults aged 40 years and over [5]. Another study from Beijing and Shanghai provided a prevalence as high as 53.4% in adults aged 50-70 years when overweight/obesity was classified as BMI ≥ 24 kg/m 2 [18].…”

Section: Resultsmentioning

confidence: 99%

“…Overweight/obesity is an important modifiable risk factor for cardiovascular disease (CVD) and other chronic diseases [2][3][4][5]. Excess weight has been shown to be associated with increased prevalence of type 2 diabetes, hypertension, dyslipidemia, metabolic syndrome (MetS) and certain cancers; while weight loss dramatically reduces these obesity-related dis-eases [6,7].…”

Section: Introductionmentioning

confidence: 99%

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Prevalence of Overweight/Obesity and its Associations with Hypertension, Diabetes, Dyslipidemia, and Metabolic Syndrome: A Survey in the Suburban Area of Beijing, 2007

Zhang¹,

Zhang²,

Wang³

2011

Obes Facts

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Objective: This study aims to estimate the up-to-date prevalence of overweight/obesity in the suburban area of Beijing, China, and its associations with hypertension, diabetes, dyslipidemia, and metabolic syndrome (MetS). Methods: A cross-sectional survey in 19,003 suburban adults was carried out in Beijing, 2007. Overweight and obesity class 1, 2, and 3 were defined as a body mass index (BMI) of 25.0–29.9, 30.0–34.9, 35.0–39.9, and = 40 kg/m², respectively. Results: The age-standardized prevalence of overweight/obesity was 31.9% in the study. With increasing BMI, the prevalence of hypertension, diabetes, dyslipidemia, and MetS also increased. With normal body weight as reference, the adjusted odds ratio (95% confidence interval) of hypertension for overweight and obesity class 1–3 was 2.5 (2.2–2.7), 3.1 (2.8–3.4), 3.6 (3.1–4.3), and 4.5 (4.0–5.2), respectively. The same trend was observed for diabetes and MetS. For dyslipidemia, however, participants with obesity class 2 had the highest odds ratio. Conclusion: The prevalence of hypertension, diabetes, dyslipidemia, and MetS increases with increasing BMI. Overweight/obesity is an important risk factor for these diseases. To reduce the social burden of these obesity-related diseases, effective strategies for the prevention of overweight/obesity should be implemented.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prevalence of Overweight/Obesity and its Associations with Hypertension, Diabetes, Dyslipidemia, and Metabolic Syndrome: A Survey in the Suburban Area of Beijing, 2007

Zhang¹,

Zhang²,

Wang³

2011

Obes Facts

View full text Add to dashboard Cite

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“…Previous reports for two Asian cohorts showed that the BMIs of patients with DM were often not in the obesity range defined for Western populations [22,23]; and central rather than overall obesity was more related to DM in the Chinese population [24]. A recent study by an international HIV cohort study group showed that waist circumference but not waist-to-hip ratio was a strong predictor of DM.…”

Section: Discussionmentioning

confidence: 99%

Risk factors for incident diabetes mellitus among HIV‐infected patients receiving combination antiretroviral therapy in Taiwan: a case–control study

Chen

Sheng

et al. 2009

HIV Medicine

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ObjectivesRecent studies suggest that patients with HIV infection are at increased risk for incident diabetes mellitus (DM). We investigated the incidence and risk factors of DM among HIV-infected patients receiving combination antiretroviral therapy (CART) in Taiwan. MethodsIncident cases of DM were identified among HIV-infected patients at the National Taiwan University Hospital between 1993 and 2006. A retrospective case-control study was conducted after matching cases with controls for sex, age at HIV diagnosis, year of HIV diagnosis, mode of HIV transmission and baseline CD4 lymphocyte count. A multivariate analysis was performed to identify risk factors for incident DM among HIV-infected patients. ResultsIn 824 HIV-infected patients eligible for analysis, 50 cases of incident DM were diagnosed, resulting in an incidence of 13.1 cases per 1000 person-years of follow-up. In total, 100 matched controls were identified. Risk factors for incident DM were a family history of DM [odds ratio (OR) 2.656; 95% confidence interval (CI) 1. 209-5.834], exposure to zidovudine (OR 3.168;) and current use of protease inhibitors (OR 2.528; 95% CI 1.186-5.389). ConclusionsIncident DM was associated with a family history of DM, exposure to zidovudine and current use of protease inhibitors in HIV-infected patients receiving CART in Taiwan.Keywords: antiretroviral therapy, case-control study, diabetes mellitus, HIV infection IntroductionCombination antiretroviral therapy (CART) has greatly improved survival in patients with HIV infection [1,2]. However, as HIV-infected patients exposed to antiretroviral agents experience prolonged survival and ageing, we have observed the emergence of CART-associated metabolic complications that include impaired glucose tolerance, diabetes mellitus (DM) and lipid disorders, which may subsequently result in increased risk for cardiovascular diseases [3][4][5][6].Glucose intolerance and DM are becoming more common in HIV-infected patients in the era of CART [5,[7][8][9]. Previous studies reported a 6-7% risk of incident DM among patients receiving protease inhibitors (PIs) [9]. Cohort studies showed that HIV-infected individuals on CART had a higher incidence of DM than those not on CART or their HIV-uninfected counterparts [10][11][12]. The incidence of DM among patients receiving CART shows wide variation, from 4.4 per 1000 person-years of followup (PYFU) in the Swiss Cohort Study to 34 per 1000 PYFU in the Women's Interagency HIV Study (WIHS) and 47 per 1000 PYFU in the Multicenter AIDS Cohort Study (MACS) [11][12][13][14]. The discrepancies may result from the enrolment of study populations of different race and ethnicity and from differences in the definition of DM [11][12][13][14].With respect to the factors associated with the development of DM in HIV-infected individuals receiving CART, several cohort studies yielded inconsistent results in terms of the relationship between DM and exposure to specific Correspondence: Dr Chien-Ching Hung, Department of Internal Medicine, National Taiwan U...

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“…Chinese populations (mainland China, Hong Kong, Taiwan) Substantial evidence indicates that increased WC and/or WHR is associated with health risks, for example, hypertension, dyslipidemia, impaired fasting glucose, diabetes (Folsom et al, 1994;Huang et al, 2002;Hu et al, 2007), lower testosterone (Chinese men) (Chu et al, 2008), CVD (Zhang et al, 2004) and mortality in Chinese populations (Zhang et al, 2007;Koster et al, 2008). However, evidence for WC and/or WHR linked to bone mineral density (Chu et al, 2008) or low back pain (Yip et al, 2001) is inconclusive.…”

Section: Asian Populationsmentioning

confidence: 99%

Appropriateness of waist circumference and waist-to-hip ratio cutoffs for different ethnic groups

et al. 2009

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Current waist circumference (WC) and waist-to-hip ratio (WHR) cutoffs have been identified from studies of predominantly European-derived populations. However, these cutoffs may not be appropriate for other ethnic groups. This paper reviews the literature regarding ethnic differences in body composition and the appropriateness of ethnic-specific WC and WHR cutoffs in various ethnic groups. Studies investigating ethnic-specific cutoffs were identified among Aboriginal, Asian, African (SubSaharan), African-American, Hispanic, Middle Eastern, Pacific Islander and South American populations. Abstracts that recommended WC and/or WHR cutoffs (or rejected the use of cutoffs) were included with their supporting literature. The evidence for ethnic-specific WC and/or WHR cutoffs was then rated as either convincing, probable, possible or insufficient. The majority of studies recommending ethnic-specific cutoffs was for Asian populations. Few studies recommended cutoffs in Aboriginal, African (Sub-Saharan), Pacific Islanders and South American populations. All studies were cross-sectional, and the overwhelming majority of studies used receiver operating characteristic curves. The studies used a number of methods for assessing WC and WHR, and a variety of outcome measures, making cross-study comparison difficult. There is possible evidence that Asians should have a lower WC cutoff than Europeans. The evidence is insufficient for specific cutoffs for African-American, Hispanic and Middle Eastern populations but some studies indicate current cutoffs for Europeans may be appropriate, whereas there is insufficient evidence for the other ethnic groups. Future studies are needed to address the methodological limitations of the current literature.

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Central Rather Than Overall Obesity Is Related to Diabetes in the Chinese Population: The InterASIA Study

Cited by 49 publications

References 34 publications

Prevalence of Overweight/Obesity and its Associations with Hypertension, Diabetes, Dyslipidemia, and Metabolic Syndrome: A Survey in the Suburban Area of Beijing, 2007

Prevalence of Overweight/Obesity and its Associations with Hypertension, Diabetes, Dyslipidemia, and Metabolic Syndrome: A Survey in the Suburban Area of Beijing, 2007

Risk factors for incident diabetes mellitus among HIV‐infected patients receiving combination antiretroviral therapy in Taiwan: a case–control study

Appropriateness of waist circumference and waist-to-hip ratio cutoffs for different ethnic groups

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