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北京市城区人群血脂异常的分布和相关因素分析 被引量:16

The Distribution of Lipid Disorders and the Related Factor Analysis among the Adults in Beijing Urban Area.
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摘要 目的 分析血脂异常在北京市人群中的分布情况。方法 横断面调查法调查北京市城区12391例成人血脂水平,分析低HDLC、高LDLC、高TC、高TG的年龄性别分布,与糖尿病、高血压、肥胖的关系,并用非条件多元Logistic回归分析与其相关的危险因素。结果 血脂异常在人群中有相当高的发生率,并呈低龄化的趋势。男性发生率增高的年龄段在30~40岁,女性在40~50岁之间。50岁以前,男性发生率高于女性;50岁后,女性的发生率显著高于男性。血脂异常也常常与其他心血管危险因素合并存在,以与肥胖、高血压的聚集尤为突出。分析与血脂异常相关的因素发现,除高LDLC和高TC外,低HDLC和高TG均与肥胖、吸烟量呈正相关,而与体育运动呈负相关。结论 血脂异常的防治十分紧迫,人群防治措施可根据分布特点而实施。增加体育运动,减轻体重对降低血脂异常有十分重要的意义。 Objective To analyze the distribution features of lipid disorders among the adults in Beijing urban area. Methods A population based investigation was carried out cross - sectionally in a sample of 12391. The distribution of low HDLC, high LDLC, high total cholesterol (TC), high triglyceride (TG) in different gender and age groups, and the clusters of above variables with diabetes, hypertension, overweight or obesity and abdominal obesity were analyzed. Multi - factor logistic regression models were used to select the factors related to the risk of h'pid disorders. Results Lipid disorders presented non - negligibly among the population, even the young people. The significant increasing period of prevalence is 30 - 40 year- old for males, and 40-50 for females. Before age 50, the prevalences of h'pid disorders are higher among men than among women. After age 50, the situations went inverse way. Lipid disorders also tended to cluster with other cardiovascular risk factors. Except high LDLC and high TC, BMI, waist, smoking amount were significantly related to low HDLC and high TG. Physical activity was inversely associated with them both. Conclusion Interventions on lipid disorders is urgent. The intervention strategies can be determined based on the distribution feature of lipid disorders among the population. Physical activity and obesity control are important for lipid disorders prevention.
出处 《中国预防医学杂志》 CAS 2002年第4期265-268,共4页 Chinese Preventive Medicine
关键词 北京 城区 横断面调查法 血脂异常 人群分布 影响因素 Lipid disorder Popuktion distribution Related factors
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