Alcohol drinking patterns differentially affect central adiposity as measured by abdominal height in women and men
Alcohol drinking patterns differentially affect central adiposity as measured by abdominal height in women and men
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DOI：
10.1093/jn/133.8.2655
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发表时间：
2003-08-01
影响因子：
4.2
通讯作者：
Trevisan, M
中科院分区：
文献类型：
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作者：
Dorn, JM;Hovey, K;Trevisan, M
轻度至中度饮酒与降低冠状动脉心脏病（CND）风险有关。然而，有证据表明，人们饮酒的方式（饮酒模式）可能会影响风险。中心性肥胖，一个已知的冠心病危险因素，可能是饮酒和冠心病风险之间的途径的一个机制。我们的研究探讨了不同的饮酒模式是否会对脂肪分布产生不同的影响，特别是女性和男性的腹部脂肪。在一个随机选择的人群为基础的队列（n = 2343），35-79岁，我们评估了过去30天报告的饮酒模式，包括饮料类型和数量，消费频率，吃饭时饮酒的时间百分比和每天消费的饮料数量。使用腹部卡尺测量仰卧位腹部高度来确定中心性肥胖。目前饮酒者的腹高比不饮酒者的腹高要小（女性，P < 0.0001;男性，P = 0.0559）。对于饮酒模式，频率呈负相关，但饮酒强度（饮酒/饮酒日）与女性中心性肥胖呈正相关（频率的P趋势，0.0007;强度，0.0010）和男性（P趋势频率，0.0005;强度，0.0004），即使年龄，教育，体育活动，吸烟状况和酒精量（g）包括在模型中。当频率和强度被考虑在一起时，
Alcohol drinking in light-to-moderate amounts has been associated with reduced coronary heart disease (CND) risk. However, there is evidence that the way people consume alcohol (drinking pattern) may affect risk. Central adiposity, a known CHD risk factor may be one mechanism in the pathway between alcohol consumption and CHD risk. Our study examined whether various drinking patterns differentially affect fat distribution, particularly abdominal fat in women and men. In a randomly selected population-based cohort (n = 2343), 35-79 y old, we assessed drinking pattern as reported for the past 30 d, including beverage type and amount, frequency of consumption, percentage of time drinking while eating and number of drinks consumed/drinking day. Central adiposity was determined using an abdominal caliper to measure supine height of the abdomen. Current drinkers tended to have smaller abdominal heights than nondrinkers (women, P < 0.0001; men, P = 0.0559). For drinking pattern, frequency was inversely associated, but drinking intensity (drinks/drinking day) was positively associated with central adiposity in women (P trend for frequency, 0.0007; intensity, 0.0010) and men (P trend for frequency, 0.0005; intensity, 0.0004), even when age, education, physical activity, smoking status and amount of alcohol (g) were included in the models. When frequency and intensity were considered together, daily drinkers of