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使用决策树分析预测 30 多岁和 40 多岁肥胖男性的体重控制经验预测模型。

Prediction model of weight control experience in men with obesity in their 30 s and 40 s using decision tree analysis.

机构信息

School of Nursing, Dongyang University, 145, Dongyangdae-ro, Punggi-eup, Yeongju-si, Gyeongsangbuk-do, Republic of Korea.

出版信息

Sci Rep. 2024 Aug 29;14(1):20061. doi: 10.1038/s41598-024-70833-5.

DOI:10.1038/s41598-024-70833-5
PMID:39209913
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11362605/
Abstract

Obesity is an abnormal and potentially dangerous condition caused by excess body fat accumulation. The number of people with obesity is increasing worldwide. Obesity is the primary cause of various diseases; therefore, it is crucial to make efforts to control body weight. Identifying the factors that influence men with obesity to attempt to control and not control their weight is essential. The objective of this study was to create a prediction model for weight control experience among Korean men in their 30 s and 40 s. We analyzed data from the 2022 Community Health Survey and included 12,311 men who were overweight or obese. The men were divided into two groups based on their weight control experience: (1) Yes group (n = 9405) and (2) No group (n = 2906). Chi-square and independent t-tests were used to compare general and health-related characteristics between the groups. Decision tree analysis was used to build a prediction model for weight control experience. A split-sample test was conducted to validate the model. From the results of this study, various models predicting weight control experience were derived. From the decision tree model without setting the first node, those who weighed below average, had a high school diploma or less, and did not know their blood sugar levels had the highest probability of not controlling their weight at 55.3%. In the prediction model where the first node was set to age, those in their 40 s who thought their weight was below average and were unaware of their blood sugar levels had the highest rate of not trying to control their weight at 50.1%. In the prediction model where the first node was set to BMI, those who were overweight but thought their weight was below average and had a high school diploma or less had the highest rate of not trying to control their weight at 51.5%. There is an urgent need to provide obesity prevention and management education to those who have no weight control experience, particularly those at high risk, as identified in this study.

摘要

肥胖是一种由体脂肪过度积累引起的异常且潜在危险的状况。全球肥胖人数不断增加。肥胖是多种疾病的主要原因,因此,努力控制体重至关重要。确定影响肥胖男性试图控制和不控制体重的因素至关重要。本研究的目的是为韩国 30 多岁和 40 多岁男性的体重控制经验建立预测模型。我们分析了 2022 年社区健康调查的数据,纳入了 12311 名超重或肥胖的男性。根据他们的体重控制经验,将这些男性分为两组:(1) Yes 组(n=9405)和(2) No 组(n=2906)。使用卡方检验和独立 t 检验比较两组的一般和健康相关特征。使用决策树分析构建体重控制经验的预测模型。进行了样本分割测试以验证模型。从这项研究的结果中,得出了各种预测体重控制经验的模型。从没有设置第一个节点的决策树模型来看,那些体重低于平均水平、只有高中学历或以下、不知道自己血糖水平的人,体重控制失败的概率最高,为 55.3%。在第一个节点设置为年龄的预测模型中,那些认为自己体重低于平均水平且不知道自己血糖水平的 40 多岁的人,体重控制失败的比例最高,为 50.1%。在第一个节点设置为 BMI 的预测模型中,那些超重但认为自己体重低于平均水平且只有高中学历或以下的人,体重控制失败的比例最高,为 51.5%。本研究发现,有必要向那些没有体重控制经验的人,特别是那些高风险人群,提供肥胖预防和管理教育。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ba3/11362605/47f655429b8c/41598_2024_70833_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ba3/11362605/765f036bc88f/41598_2024_70833_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ba3/11362605/536aceb525ce/41598_2024_70833_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ba3/11362605/47f655429b8c/41598_2024_70833_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ba3/11362605/765f036bc88f/41598_2024_70833_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ba3/11362605/536aceb525ce/41598_2024_70833_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ba3/11362605/47f655429b8c/41598_2024_70833_Fig3_HTML.jpg

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