Literature DB >> 23970724

neck circumference and insulin resistance in Chinese adults: the Cardiometabolic Risk in Chinese (CRC) Study.

Jun Liang, Fei Teng, Yanping Li, Xuekui Liu, Caiyan Zou, Yu Wang, Hongyan Li, Lu Qi.   

Abstract

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Year:  2013        PMID: 23970724      PMCID: PMC3747943          DOI: 10.2337/dc13-1114

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


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Neck circumference (NC) is a proxy for upper-body fat and a reliable screening measure for the identification of individuals with abnormal fat distribution. Recently, compelling evidence indicates that NC is positively associated with insulin resistance (IR) and a variety of cardiometabolic abnormalities, independent of overall adiposity and central obesity in Caucasians (1) or Chinese diabetic patients (2). However, it remains unknown whether NC affects IR in the general Chinese population. In the current study, we analyzed the associations of NC with IR and cardiometabolic risk factors in 2,588 apparently healthy Chinese adults (20–87 years of age) from the Cardiometabolic Risk in Chinese (CRC) study (3). We found a significant association between NC and an increasing trend of homeostasis model assessment of insulin resistance (HOMA-IR), adjusting for age and other cardiometabolic risk factors, in both men (P = 0.02) and women (P = 0.004). The differences in HOMA-IR between the extreme quintiles of NC appeared more evident in men than in women; however, the test for the heterogeneity between men and women was not significant. Further adjustment for BMI and waist circumference (WC) did not appreciably change the associations between NC and IR. In addition, high NC was significantly related to a decreasing trend of HDL levels in both sexes and was significantly related to an increasing trend of plasma triglyceride and uric acid levels only in men (P for sex difference <0.03), after adjustment for covariates including BMI or WC and HOMA-IR. We also found significant interactions of NC with BMI and WC (P for interaction <0.0001) in relation to HOMA-IR (Fig. 1). It appears that the associations between NC and HOMA-IR were more evident in those with a higher BMI or WC.
Figure 1

The joint effect of NC (in quintiles) with WC and BMI (low, medium, and high levels) on HOMA-IR.

The joint effect of NC (in quintiles) with WC and BMI (low, medium, and high levels) on HOMA-IR. To our knowledge, the current study is among the first to assess the associations of NC with IR and metabolic risk in a general population of Chinese adults. Our findings are in line with the results from several previous studies in Caucasians and Chinese diabetic patients (1,2). In the Framingham Study, it was found that NC was associated with IR and cardiovascular risk factors in a sex-specific manner (1). It has been documented that high NC was a significant predictor of obstructive sleep apnea syndrome (4), which has been associated with risk of IR and diabetes. Obstructive sleep apnea syndrome aggravates glycemic control, even at the earliest stages of glucose intolerance. In addition, intermittent hypoxemia and sleep fragmentation increase the risk of IR (5). Our data, together with evidence from other studies, suggest that body fat accumulated in the upper body segment may contribute to the adverse metabolic consequence. In conclusion, we found significant associations of high NC with increased risk of IR and a variety of cardiometabolic risk factors in apparently healthy Chinese adults, and found sexual dimorphism for associations with certain risk factors. Our findings support a recommendation for the inclusion of NC in the routine clinical assessment of adults to identify those at high risk of cardiometabolic diseases such as type 2 diabetes and heart disease.
  5 in total

1.  Obstructive sleep apnea aggravates glycemic control across the continuum of glucose homeostasis.

Authors:  Paschalis Steiropoulos; Nickolaos Papanas; Demosthenes Bouros; Efstratios Maltezos
Journal:  Am J Respir Crit Care Med       Date:  2010-07-15       Impact factor: 21.405

2.  Neck circumference as a novel measure of cardiometabolic risk: the Framingham Heart study.

Authors:  Sarah Rosner Preis; Joseph M Massaro; Udo Hoffmann; Ralph B D'Agostino; Daniel Levy; Sander J Robins; James B Meigs; Ramachandran S Vasan; Christopher J O'Donnell; Caroline S Fox
Journal:  J Clin Endocrinol Metab       Date:  2010-05-19       Impact factor: 5.958

3.  Neck circumference positively related with central obesity, overweight, and metabolic syndrome in Chinese subjects with type 2 diabetes: Beijing Community Diabetes Study 4.

Authors:  Guang-Ran Yang; Shen-Yuan Yuan; Han-Jing Fu; Gang Wan; Liang-Xiang Zhu; Xiang-Lei Bu; Jian-Dong Zhang; Xue-Ping Du; Yu-Ling Li; Yu Ji; Xiao-Ning Gu; Yue Li
Journal:  Diabetes Care       Date:  2010-08-19       Impact factor: 17.152

4.  Neck circumference as a measure of central obesity: associations with metabolic syndrome and obstructive sleep apnea syndrome beyond waist circumference.

Authors:  Altan Onat; Gülay Hergenç; Hüsniye Yüksel; Günay Can; Erkan Ayhan; Zekeriya Kaya; Dursun Dursunoğlu
Journal:  Clin Nutr       Date:  2008-11-17       Impact factor: 7.324

5.  Hemoglobin A1c levels and aortic arterial stiffness: the Cardiometabolic Risk in Chinese (CRC) study.

Authors:  Jun Liang; Na Zhou; Fei Teng; Caiyan Zou; Ying Xue; Manqing Yang; Huaidong Song; Lu Qi
Journal:  PLoS One       Date:  2012-08-03       Impact factor: 3.240

  5 in total
  18 in total

1.  Neck circumference and prehypertension: the cardiometabolic risk in Chinese study.

Authors:  Jun Liang; Yu Wang; Lianjun Dou; Hongyan Li; Xuekui Liu; Qinqin Qiu; Lu Qi
Journal:  J Hypertens       Date:  2015-02       Impact factor: 4.844

2.  Impact of general and central adiposity on ventricular-arterial aging in women and men.

Authors:  Peter Wohlfahrt; Margaret M Redfield; Francisco Lopez-Jimenez; Vojtech Melenovsky; Garvan C Kane; Richard J Rodeheffer; Barry A Borlaug
Journal:  JACC Heart Fail       Date:  2014-09-03       Impact factor: 12.035

3.  Evaluation of the associations of body height with blood pressure and early-stage atherosclerosis in Chinese adults.

Authors:  Qinqin Qiu; Xiangyu Meng; Yanjun Li; Xuekui Liu; Fei Teng; Yu Wang; Xiu Zang; Yun Wang; Jun Liang
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-05-22       Impact factor: 3.738

4.  Synergistic effects of neck circumference and metabolic risk factors on insulin resistance: the Cardiometabolic Risk in Chinese (CRC) study.

Authors:  Jun Liang; Fei Teng; Xuekui Liu; Caiyan Zou; Yu Wang; Lianjun Dou; Zilin Sun; Lu Qi
Journal:  Diabetol Metab Syndr       Date:  2014-11-01       Impact factor: 3.320

5.  Association of calf circumference with insulin resistance and non-alcohol fatty liver disease: the REACTION study.

Authors:  Weiwei Zhang; Zhen Yang; Yixin Niu; Xiaoyong Li; Lingfei Zhu; Shuai Lu; Hongmei Zhang; Jiangao Fan; Guang Ning; Li Qin; Qing Su
Journal:  BMC Endocr Disord       Date:  2017-05-30       Impact factor: 2.763

6.  Neck circumference is independently associated with relative systemic hypertension in young adults with sickle cell anaemia.

Authors:  Lawrence A Olatunji; Olatunde P Olabode; Olawale M Akinlade; Abiola S Babatunde; Victoria A Olatunji; Ayodele O Soladoye
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7.  Predicting Type 2 Diabetes Mellitus Occurrence Using Three-Dimensional Anthropometric Body Surface Scanning Measurements: A Prospective Cohort Study.

Authors:  Ming-Kuo Ting; Pei-Ju Liao; I-Wen Wu; Shuo-Wei Chen; Ning-I Yang; Tzu-Yu Lin; Kuang-Hung Hsu
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8.  Association of neck circumference and high blood pressure in children and adolescents: a case-control study.

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9.  Neck circumference and early stage atherosclerosis: the cardiometabolic risk in Chinese (CRC) study.

Authors:  Jun Liang; Yu Wang; Hongyan Li; Xuekui Liu; Qinqin Qiu; Lu Qi
Journal:  Cardiovasc Diabetol       Date:  2014-07-08       Impact factor: 9.951

10.  Neck circumference and future cardiovascular events in a high-risk population--A prospective cohort study.

Authors:  Yingnan Dai; Xiaojing Wan; Xin Li; Enze Jin; Xueqi Li
Journal:  Lipids Health Dis       Date:  2016-03-05       Impact factor: 3.876

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