| 李宗锴,黄妍,汪子平,景慧,滕雨芯,刘叶舟,申远,李强,米白冰,杨姣梅,颜虹,党少农.陕西省成年人群衰弱的流行特征及其影响因素重要性评价研究[J].Chinese journal of Epidemiology,2025,46(1):131-139 |
| 陕西省成年人群衰弱的流行特征及其影响因素重要性评价研究 |
| Prevalence of frailty and importance of influencing factors in adults in Shaanxi Province |
| Received:June 12, 2024 |
| DOI：10.3760/cma.j.cn112338-20240612-00345 |
| KeyWord: 衰弱 衰弱指数 特征重要性 |
| English Key Word: Frailty Frailty index Feature importance |
| FundProject:陕西省自然科学基础研究计划（2021JM-034）；国家重点研发计划（2017YFC0907200，2017YFC0907201） |
| Author Name | Affiliation | E-mail | | Li Zongkai | Department of Epidemiology and Biostatistics, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China | | | Huang Yan | Department of Epidemiology and Biostatistics, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China | | | Wang Ziping | Department of Epidemiology and Biostatistics, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China | | | Jing Hui | Department of Epidemiology and Biostatistics, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China | | | Teng Yuxin | Department of Epidemiology and Biostatistics, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China | | | Liu Yezhou | Department of Epidemiology and Biostatistics, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China | | | Shen Yuan | Department of Epidemiology and Biostatistics, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China | | | Li Qiang | Department of Epidemiology and Biostatistics, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China | | | Mi Baibing | Department of Epidemiology and Biostatistics, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China | | | Yang Jiaomei | Department of Epidemiology and Biostatistics, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China | | | Yan Hong | Department of Epidemiology and Biostatistics, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China | | | Dang Shaonong | Department of Epidemiology and Biostatistics, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China | tjdshn@mail.xjtu.edu.cn |
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| Abstract: |
| 目的 了解陕西省人群衰弱情况并探索其影响因素的重要性。方法 数据来源于2018-2019年西北区域自然人群队列中陕西省城乡人群队列基线调查，构建衰弱指数（FI）评价人群衰弱状态，使用XGboost模型结合Shapley方法分性别年龄对影响衰弱的社会人口学特征和生活行为因素进行重要性分析。结果 共纳入25 079名研究对象，964名（3.8%）患有衰弱，女性衰弱患病率（3.9%）与男性（3.8%）差异无统计学意义（P=0.629），但不同性别FI分布差异有统计学意义（P<0.001），男性衰弱前期的比例高于女性。衰弱患病率随年龄增长而增加（P<0.001），青年、中年和老年衰弱患病率在女性中分别为1.3%、2.5%和7.8%，在男性中分别为1.9%、2.7%和5.5%。社会人口学特征和生活行为方式都是衰弱的影响因素，但其重要性存在性别和年龄差异。青年女性中影响因素贡献前五位是文化程度、熬夜情况、家庭年收入、静坐时间和婚姻状况，青年男性是熬夜情况、吸烟状况、家庭年收入、静坐时间和饮酒状况。中年女性的前五位是文化程度、家庭年收入、吸入二手烟、熬夜情况和静坐时间，中年男性是家庭年收入、文化程度、静坐时间、熬夜情况和饮酒状况。老年女性的前五位是家庭年收入、吸入二手烟、静坐时间、婚姻状况和拥有智能手机，老年男性是文化程度、家庭年收入、吸烟状况、拥有智能手机和静坐时间。结论 陕西省人群FI分布存在性别差异，衰弱患病率随着年龄增长而增加，但中青年也有衰弱风险。青年男性的衰弱主要与熬夜情况、吸烟状况、静坐时间、饮酒状况等不良生活行为方式有关，而中老年男性和女性的衰弱更多受到文化程度、经济状况、婚姻状况等社会人口学特征的影响。 |
| English Abstract: |
| Objective To understand the prevalence of frailty and the importance of its influencing factors in adult population in Shaanxi Province. Methods The data were from Shaanxi baseline survey of natural population cohort study in northwest China during 2018-2019. The frailty index (FI) was constructed to evaluate the frailty status of the population, and XGboost model combined with Shapley method was used to analyze the importance of the sociodemographic and life behavior factors affecting the prevalence of frailty by gender and age. Results A total of 25 079 subjects were included, in whom 964 (3.8%) had frailty, and there was no significant difference in the overall prevalence of frailty between women (3.9%) and men (3.8%) (P=0.629), but there was a gender specific difference in the distribution of FI (P<0.001), and the proportion of the pre-frailty in men was higher than that in women. The prevalence of frailty increased with age (P<0.001), the prevalence of frailty were 1.3%, 2.5% and 7.8% in young, middle-aged and elderly women, respectively, and 1.9%, 2.7% and 5.5% in young, middle-aged and elderly men, respectively. Sociodemographic characteristics and lifestyle patterns were both influencing factors for the prevalence of frailty, but their importance varied with gender and age. The top five contributing factors were education level, staying up late, annual family income level, sedentary time and marital status in young women, and staying up late, smoking, annual family income level, sedentary time and drinking in young men. The top five contributing factors were education level, annual family income level, passive exposure to smoking, staying up late, and sedentary time in middle-aged women, and annual family income level, education level, sedentary time, staying up late and drinking in middle-aged men. The top five contributing factors were annual family income level, passive exposure to smoking, sedentary time, marital status, and smartphone use in elderly women, and education level, annual family income level, smoking, smartphone use and sedentary time in elderly men. Conclusions There are gender specific differences in the distribution of FI in Shaanxi. The prevalence of frailty increased with age, but young and middle-aged people also have frailty risk. The prevalence of frailty in young men was mainly related to unhealthy life behaviors, such as staying up late, smoking, sedentary behavior and drinking, while the prevalence of frailty in middle-aged and elderly men and women were more affected by sociodemographic factors, such as education level, economic status and marital status. |
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