Population-attributable Fractions of Lifestyle Factors for Prediabetes in Korea: A Regression-based Analysis of National Survey Data.

Yeon Woo Oh, Chung Mo Nam, Eun-Cheol Park
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Abstract

Objectives: Although lifestyle modification programs are widely implemented for diabetes prevention, the contributions of individual lifestyle factors remain unclear. This study investigated lifestyle risk factors for prediabetes and employed a regression-based approach for estimating their population-attributable fractions (PAFs) using nationally representative data.

Methods: We analyzed data from 3,104 adults aged ≥30 years without diabetes from the 2022 Korea National Health and Nutrition Examination Survey. Seven lifestyle factors were assessed: body weight, alcohol consumption, smoking, physical activity, sleep duration, vegetable intake, and breakfast consumption. Prediabetes was defined as fasting blood glucose of 100-125 mg/dL or HbA1c levels of 5.7-6.4%. Complex survey-adjusted logistic regression was used to identify significant lifestyle risk factors, and their PAFs were estimated using a regression-based sequential method.

Results: Five lifestyle factors were significantly associated with prediabetes: abnormal body weight (OR: 2.046; 95% CI, 1.676-2.498), excessive alcohol consumption (OR: 1.274; 95% CI, 1.000-1.623), smoking (OR: 1.354; 95% CI, 1.073-1.709), insufficient exercise (OR: 1.259; 95% CI, 1.049-1.512), and irregular breakfast consumption (OR: 1.309; 95% CI, 1.078-1.590). In sequential PAF estimation, abnormal body weight had the largest contribution (22.2%; 95% CI, 16.2-28.2%), followed by smoking (6.4%; 95% CI, 1.1-11.6%), insufficient exercise (5.8%; 95% CI, 1.2-10.5%), irregular breakfast consumption (4.9%; 95% CI, 0.5-9.2%), and excessive alcohol consumption (3.6%; 95% CI, 0.1-7.4%). These results remained consistent in sensitivity analyses including undiagnosed diabetes cases.

Conclusions: Abnormal body weight emerged as the largest contributor to prediabetes (PAF>20%). Diabetes prevention programs in South Korea should prioritize weight management within a comprehensive approach to lifestyle modification.

韩国糖尿病前期生活方式因素的人口归因部分:基于国家调查数据的回归分析。
目的:虽然生活方式改变计划被广泛用于糖尿病预防,但个人生活方式因素的作用尚不清楚。本研究调查了前驱糖尿病的生活方式危险因素,并采用基于回归的方法,使用具有全国代表性的数据估计其人群归因分数(paf)。方法:我们分析了来自2022年韩国国家健康与营养调查的3104名年龄≥30岁无糖尿病的成年人的数据。研究人员评估了七个生活方式因素:体重、饮酒、吸烟、体育活动、睡眠时间、蔬菜摄入量和早餐摄入量。前驱糖尿病定义为空腹血糖100-125 mg/dL或HbA1c水平为5.7-6.4%。使用复杂的调查调整逻辑回归来确定重要的生活方式危险因素,并使用基于回归的顺序方法估计其paf。结果:5项生活方式因素与糖尿病前期有显著相关性:体重异常(OR: 2.046;95% CI, 1.676-2.498),过度饮酒(OR: 1.274;95% CI, 1.000-1.623),吸烟(OR: 1.354;95% CI, 1.073-1.709),运动不足(OR: 1.259;95% CI, 1.049-1.512)和不规律的早餐消费(OR: 1.309;95% ci, 1.078-1.590)。在序贯PAF估计中,体重异常贡献最大(22.2%);95% CI, 16.2-28.2%),其次是吸烟(6.4%;95% CI, 1.1-11.6%),运动不足(5.8%;95% CI, 1.2-10.5%),不规律的早餐消费(4.9%;95% CI, 0.5-9.2%)和过度饮酒(3.6%;95% ci, 0.1-7.4%)。这些结果在敏感性分析中保持一致,包括未确诊的糖尿病病例。结论:体重异常是前驱糖尿病的最大诱因(PAF>20%)。韩国的糖尿病预防项目应该在改变生活方式的综合方法中优先考虑体重管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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