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Forecasting obesity prevalence in Korean adults for the years 2020 and 2030 by the analysis of contributing factors

机译:通过影响因素分析预测2020年和2030年韩国成年人的肥胖率

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BACKGROUND/OBJECTIVES There are few studies that forecast the future prevalence of obesity based on the predicted prevalence model including contributing factors. The present study aimed to identify factors associated with obesity and construct forecasting models including significant contributing factors to estimate the 2020 and 2030 prevalence of obesity and abdominal obesity. SUBJECTS/METHODS Panel data from the Korea National Health and Nutrition Examination Survey and national statistics from the Korean Statistical Information Service were used for the analysis. The study subjects were 17,685 male and 24,899 female adults aged 19 years or older. The outcome variables were the prevalence of obesity (body mass index ≥ 25 kg/m2) and abdominal obesity (waist circumference ≥ 90 cm for men and ≥ 85 cm for women). Stepwise logistic regression analysis was used to select significant variables from potential exposures. RESULTS The survey year, age, marital status, job status, income status, smoking, alcohol consumption, sleep duration, psychological factors, dietary intake, and fertility rate were found to contribute to the prevalence of obesity and abdominal obesity. Based on the forecasting models including these variables, the 2020 and 2030 estimates for obesity prevalence were 47% and 62% for men and 32% and 37% for women, respectively. CONCLUSIONS The present study suggested an increased prevalence of obesity and abdominal obesity in 2020 and 2030. Lifestyle factors were found to be significantly associated with the increasing trend in obesity prevalence and, therefore, they may require modification to prevent the rising trend.
机译:背景/目的很少有研究基于预测的流行率模型(包括影响因素)来预测肥胖症的未来患病率。本研究旨在确定与肥胖相关的因素,并构建包括重要的预测因素在内的预测模型,以估算2020年和2030年肥胖和腹部肥胖的患病率。主题/方法使用来自韩国国家健康与营养检查调查的面板数据和来自韩国统计信息服务的国家统计数据进行分析。研究对象为年龄在19岁或以上的17685名男性和24899名女性成年人。结果变量为肥胖(体重指数≥25 kg / m 2 )和腹部肥胖(男性腰围≥90 cm,女性腰围≥85 cm)的患病率。逐步逻辑回归分析用于从潜在风险中选择重要变量。结果调查的年份,年龄,婚姻状况,工作状况,收入状况,吸烟,饮酒,睡眠时间,心理因素,饮食摄入量和生育率被发现与肥胖和腹部肥胖的患病率有关。根据包含这些变量的预测模型,到2020年和2030年肥胖发生率的估计分别为男性和女性分别为47%和62%和32%和37%。结论本研究表明,肥胖症和腹部肥胖症的患病率在2020年和2030年有所增加。生活方式因素与肥胖症患病率的上升趋势显着相关,因此,可能需要对其进行修改以防止上升趋势。

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