| 中国成年人饮酒行为特征与肥胖指标的相关性研究 |
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| 引用本文： | 许祥,周密,高汝钦,郭彧,田小草,卞铮,谭云龙,裴培,余灿清,汪韶洁,陈铮鸣,李立明,代表中国慢性病前瞻性研究项目协作组.中国成年人饮酒行为特征与肥胖指标的相关性研究[J].中华流行病学杂志,2019,40(7):759-764. |
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| 作者姓名： | 许祥 周密 高汝钦 郭彧 田小草 卞铮 谭云龙 裴培 余灿清 汪韶洁 陈铮鸣 李立明 代表中国慢性病前瞻性研究项目协作组 |
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| 作者单位： | 青岛大学公共卫生学院 266021;中国医学科学院慢性病前瞻性研究项目办公室, 北京 102308,北京大学公共卫生学院流行病与卫生统计学系 100191,青岛市预防医学研究院 青岛市疾病预防控制中心慢性病防治科 266033,中国医学科学院慢性病前瞻性研究项目办公室, 北京 102308,青岛市预防医学研究院 青岛市疾病预防控制中心慢性病防治科 266033,中国医学科学院慢性病前瞻性研究项目办公室, 北京 102308,中国医学科学院慢性病前瞻性研究项目办公室, 北京 102308,中国医学科学院慢性病前瞻性研究项目办公室, 北京 102308,北京大学公共卫生学院流行病与卫生统计学系 100191,青岛大学公共卫生学院 266021;青岛市预防医学研究院 青岛市疾病预防控制中心慢性病防治科 266033,英国牛津大学临床与流行病学研究中心纳菲尔德人群健康系 OX3 7LF,北京大学公共卫生学院流行病与卫生统计学系 100191,青岛大学公共卫生学院 266021;中国医学科学院慢性病前瞻性研究项目办公室, 北京 102308;北京大学公共卫生学院流行病与卫生统计学系 100191;青岛市预防医学研究院 青岛市疾病预防控制中心慢性病防治科 266033;英国牛津大学临床与流行病学研究中心纳菲尔德人群健康系 OX3 7LF |
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| 基金项目： | 国家重点研发计划精准医学研究重点专项（2016YFC0900500，2016YFC0900501， 2016YFC0900504）；国家科技支撑计划（2011BAI09B01）；中国香港Kadoorie Charitable基金；英国Wellcome Trust（202922/Z/16/Z，088158/Z/09/Z，104085/Z/14/Z） |
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| 摘 要： | 目的 分析中国成年人不同饮酒行为与肥胖的关系。方法 本研究利用中国慢性病前瞻性研究基线调查数据，根据BMI和腰围（WC）分别划分一般性肥胖和中心性肥胖，采用logistic回归分析饮酒行为与一般性肥胖和中心性肥胖间的关系。结果 本研究纳入249 873名调查对象，男性饮酒量与BMI和WC间大体呈“J”形的曲线关系。以不饮酒者作为对照，少量饮酒组患一般性肥胖和中心性肥胖的比例较低，男性的OR值分别为0.65（0.59～0.71）和0.93（0.88～0.98），女性的OR值分别为0.77（0.65～0.91）和0.89（0.80～0.99）；男性大量饮酒组患一般性肥胖（OR=1.21，95% CI：1.12～1.32）和中心性肥胖（OR=1.33，95% CI：1.27～1.40）的比例最高。饮酒频率为3～5 d/周组的BMI和WC值较高，患中心性肥胖的比例也最高（男性：OR=1.23，95% CI：1.16～1.31；女性：OR=1.13，95% CI：0.99～1.28）。20岁前开始每周饮酒的男性患中心性肥胖的比例是不饮酒者的1.24倍（95% CI：1.16～1.33）。饮啤酒者患一般性肥胖的比例较低（男性：OR=0.74，95% CI：0.67～0.82；女性：OR=0.54，95% CI：0.43～0.68）。结论 少量饮酒患肥胖的比例较低，大量饮酒者患肥胖的比例较高，开始饮酒的年龄越早肥胖的比例越高。
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| 关 键 词： | 饮酒 一般性肥胖 中心性肥胖 |
| 收稿时间： | 2018/11/28 0:00:00 |
Study on correlation between alcohol consumption and obesity in adults in China |
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| Xu Xiang,Zhou Mi,Gao Ruqin,Guo Yu,Tian Xiaocao,Bian Zheng,Tan Yunlong,Pei Pei,Yu Canqing,Wang Shaojie,Chen Zhengming,Li Liming and for the China Kadoorie Biobank Collaborative Group.Study on correlation between alcohol consumption and obesity in adults in China[J].Chinese Journal of Epidemiology,2019,40(7):759-764. |
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| Authors: | Xu Xiang Zhou Mi Gao Ruqin Guo Yu Tian Xiaocao Bian Zheng Tan Yunlong Pei Pei Yu Canqing Wang Shaojie Chen Zhengming Li Liming and for the China Kadoorie Biobank Collaborative Group |
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| Institution: | School of Public Health, Qingdao University, Qingdao 266021, China;Department of China Kadoorie Biobank, Chinese Academy of Medical Sciences, Beijing 102308, China,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China,Department of Chronic Disease Prevention and Control, Qingdao Center for Disease Control and Prevention, Qingdao Preventive Medicine Institute, Qingdao 266033, China,Department of China Kadoorie Biobank, Chinese Academy of Medical Sciences, Beijing 102308, China,Department of Chronic Disease Prevention and Control, Qingdao Center for Disease Control and Prevention, Qingdao Preventive Medicine Institute, Qingdao 266033, China,Department of China Kadoorie Biobank, Chinese Academy of Medical Sciences, Beijing 102308, China,Department of China Kadoorie Biobank, Chinese Academy of Medical Sciences, Beijing 102308, China,Department of China Kadoorie Biobank, Chinese Academy of Medical Sciences, Beijing 102308, China,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China,School of Public Health, Qingdao University, Qingdao 266021, China;Department of Chronic Disease Prevention and Control, Qingdao Center for Disease Control and Prevention, Qingdao Preventive Medicine Institute, Qingdao 266033, China,Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China and School of Public Health, Qingdao University, Qingdao 266021, China;Department of China Kadoorie Biobank, Chinese Academy of Medical Sciences, Beijing 102308, China;Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China;Department of Chronic Disease Prevention and Control, Qingdao Center for Disease Control and Prevention, Qingdao Preventive Medicine Institute, Qingdao 266033, China;Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK |
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| Abstract: | Objective To evaluate the correlation between alcohol consumption and obesity in adults in China. Methods The information about alcohol consumption were collected at the baseline survey of the China Kadoorie Biobank. The general obesity and central obesity were defined by BMI and waist circumference (WC) respectively. Logistic regression model was employed to examine the relationship of drinking behavior with general obesity and central obesity. Results A total of 249 873 adults were included. A J-shaped relationship was observed between alcohol consumption and obesity measurement index (BMI and WC) in men. Compared with non-drinkers, the proportion of general obesity and central obesity were lower in light drinkers (men:OR=0.65, 95%CI:0.59-0.71 and OR=0.93, 95%CI:0.88-0.98; women:OR=0.77, 95%CI:0.65-0.91 and OR=0.89, 95%CI:0.80-0.99). In men, the proportion of general obesity and central obesity was highest in heavy drinkers (OR=1.21, 95%CI:1.12-1.32; OR=1.33, 95%CI:1.27-1.40). BMI and WC were higher in those with a drinking frequency of 3-5 d/week, with largest of proportion of central obesity (men:OR=1.23, 95%CI:1.16-1.31; women:OR=1.13, 95%CI:0.99-1.28). The risk for central obesity in men who began drinking every week before 20 years old was 1.24 times higher than non-drinkers (95%CI:1.16-1.33). Those who drank beer had lower proportion of general obesity (men:OR=0.74, 95%CI:0.67-0.82; women:OR=0.54, 95%CI:0.43-0.68). Conclusion The proportion of obesity was lower in light drinkers but higher in heavy drinkers; and the earlier drinking started, the higher the risk for obesity was. |
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| Keywords: | Alcohol consumption General obesity Central obesity |
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