韩国成年早期代谢综合征的危险因素与生活方式

Seo Yoo-jin, Byun Young Soon
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摘要

本研究的目的是确定成年早期代谢综合征的危险因素,由于西方化的生活方式,目前在韩国代谢综合征的发病率有所增加。该研究使用了国民健康保险局(NHIS)在2013年收集的5801名参与者的健康体检数据。以NCEP ATP-III作为代谢综合征的诊断标准。代谢综合征患病率为32.8%,男性为29.7%,女性为3.1%。在研究对象中,21.5%的男性腰围异常,而女性腰围异常的比例为2.3%。然而,男性和女性的高密度脂蛋白胆固醇水平非常相似,分别为13.6%和13.3%。代谢综合征组与正常组在bmi、糖尿病家族史、吸烟时间、吸烟频率、饮酒频率、剧烈运动等方面存在统计学差异。影响代谢综合征的因素有BMI(OR=1.645, 95% CI, 1.599-1.692)、糖尿病高危人群(OR=8.818, 95% CI, 4.493-17.306)、饮酒频率(OR=1.151, 95% CI, 1.074-1.233)、吸烟时间(OR=1.037, 95% CI, 1.010-1.064),而糖尿病家族史、吸烟频率和身体活动无显著性差异。导致糖尿病高危的因素有BMI(OR=1.021, 95% CI, 1.008-1.035)、糖尿病家族史(OR=1.835, 95% CI, 1.045-3.225)、吸烟时间(OR=1.125, 95% CI, 1.050-1.206)、有无代谢综合征(OR=8.519, 95% CI, 4.876-14.885)。数据的结果表明,有必要针对这些影响成年早期代谢综合征的因素(BMI、吸烟、饮酒)制定计划和管理教育。还需要提高环境和社会对代谢综合征的认识,以可能地改善生活方式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk factors of Metabolic Syndrome and Lifestyle in Early Adulthood in Korea
The objective of this study was to identify risk factors of metabolic syndrome in early adulthood which has currently shown an increase in Korea, due to a westernized lifestyle. Health medical examination data collected from a total of 5801 participants, gathered by the National Health Insurance Service(NHIS) in 2013, was used to proceed with the study. NCEP ATP-III was used as diagnostic criteria for determining metabolic syndrome. The prevalence rate for metabolic syndrome totaled 32.8%, 29.7% for men and 3.1% for women. Among the subjects, 21.5% of men were found to have abnormal waist circumferences compared to a percentage of 2.3% for women. However, the HDL-cholesterol levels for both men and women were very similar, at 13.6% and 13.3% respectively. There were statistically significant differences in their BMIs, family histories of diabetes, smoking periods, smoking frequencies, alcohol consumption, drinking frequencies, and intense physical activities for the metabolic syndrome group and the normal group. The factors influencing metabolic syndrome were BMI(OR=1.645, 95% CI, 1.599-1.692), a high risk of diabetes(OR=8.818, 95% CI, 4.493-17.306), drinking frequency(OR=1.151, 95% CI, 1.074-1.233), smoking period(OR=1.037, 95% CI, 1.010-1.064), whereas the family history of diabetes, smoking frequency, and physical activity showed no significance. The factors attributing to a high risk in diabetes were BMI(OR=1.021, 95% CI, 1.008-1.035), family history of diabetes(OR=1.835, 95% CI, 1.045-3.225), smoking period(OR=1.125, 95% CI, 1.050-1.206), presence of metabolic syndrome(OR=8.519, 95% CI, 4.876-14.885). The result from the data illustrates the necessity in developing programs and management education for such factors (BMI, smoking, drinking) that influence metabolic syndrome in early adulthood. Promotion of the environment and social awareness of metabolic syndrome is also required to make possible improvements in lifestyle.
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