Relationship between anthropometric measures and the prevalence of diabetes in adults of Suzhou city, Jiangsu province.

Ran Tao; Huaidong DU; Jinyi Zhou; Jian SU; Jie Yang; Yihe HU; Liangcai MA; Renxian Zhou; Zheng Bian; Yu Guo; Zhengming Chen; Liming LI; Ming WU

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Relationship between anthropometric measures and the prevalence of diabetes in adults of Suzhou city, Jiangsu province.

Author: Ran TAO ¹ ; Huaidong DU ² ; Jinyi ZHOU ¹ ; Jian SU ¹ ; Jie YANG ¹ ; Yihe HU ³ ; Liangcai MA ³ ; Renxian ZHOU ⁴ ; Zheng BIAN ⁵ ; Yu GUO ⁵ ; Zhengming CHEN ⁶ ; Liming LI ⁷ ; Ming WU ⁸
Author Information

1. Jiangsu Provincial Center for Disease Prevention and Control, Nanjing 210009, China.
2. Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), University of Oxford,UK.
3. Suzhou City Center for Disease Prevention and Control, Jiangsu Province.
4. Wuzhong Center for Disease Prevention and Control, Suzhou, Jiangsu Province.
5. Chinese Academy of Medical Sciences.
6. Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), University of Oxford, UK. Email: zhengming.chen@ctsu.ox.ac.uk.
7. Chinese Academy of Medical Sciences
8. Jiangsu Provincial Center for Disease Prevention and Control, Nanjing 210009, China. Email: jswuming@vip.sina.com.
Publication Type:Journal Article
MeSH: Adiposity; Adult; Biological Specimen Banks; Body Mass Index; China; Diabetes Mellitus; epidemiology; Female; Humans; Male; Obesity; epidemiology; Obesity, Abdominal; Prevalence; Risk; Risk Factors; Waist Circumference; Waist-Hip Ratio
From:Chinese Journal of Epidemiology 2014;35(12):1337-1342
CountryChina
Language:Chinese
Abstract:
OBJECTIVETo explore the relationships between anthropometric measures as body mass index (BMI), percentage body fat, waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR) and the risks of diabetes.
METHODSWe analyzed the baseline data of 53 260 participants who were aged 30-79 years and had been enrolled into the China Kadoorie Biobank (CKB) study from Suzhou city,Jiangsu province. Unconditional logistic regression analyses were conducted with adjustment for potential confounders.
RESULTSOverall, 5.3% of the participants had diabetes, with about a half of them being newly detected through on-site screening tests. The prevalence of diabetes increased with age, 61% higher (OR = 1.61, 95% confidence interval: 1.54-1.67) risk of diabetes, with 10 years increase of age. In both genders, all anthropometric measures were positively and significantly associated with diabetes, with the associations of measures in central adiposity stronger than those in general obesity, with WHR as the strongest. Each standard deviation (1- s) with greater WHR (<0.06 in men and 0.07 in women) was associated with 72% (61%-83%) higher risk of diabetes in men and 93% (83%-102%) in women. After adjusting for HC, each WC with 5 cm larger, showing 65% and 57% higher risks in men and women respectively. However, after adjusting for WC, every 5cm greater HC appeared and associated with respective 38% and 34% lower risks.
CONCLUSIONMeasures on adiposity including BMI, percentage body, WC, WHR and WHtR fat were all positively associated with the prevalence of diabetes. Measures of central obesity, particularly WHR, were more strongly associated with diabetes than measures of general obesity. When WC was under control, HC appeared inversely associated with diabetes.