更年期女性慢性病发展轨迹及其影响因素追踪研究OACHSSCD
Longitudinal study on the development trajectory and influencing factors of chronic diseases among menopausal women
该研究采用中国健康与养老追踪调查(CHARLS)2011-2020年五期数据,选取3508名基线年龄在40~54岁的女性作为研究对象,采用组基轨迹模型识别其慢性病发展轨迹,并进一步按出生队列进行亚组分析,以探究更年期女性慢性病发展轨迹及其影响因素,为更年期女性的健康管理提供参考依据.结果显示,更年期女性慢性病发展轨迹可分为三类:低水平缓慢增长型(21.3%)、中等水平稳步增长型(60.6%)和高水平快速增长型(18.1%).按出生队列划分的轨迹分析结果同样显示上述三类轨迹,其中与1957-1961年出生队列相比,1962-1971年出生队列中归属于低水平组的比例更高,归属于高水平组的比例更低.Logistic回归分析表明,绝经、睡眠、吸烟和工作情况是轨迹类别划分的主要影响因素.研究表明,更年期女性慢性病发展轨迹存在异质性,应实施分层干预,加强慢性病防治宣教与个性化健康服务,助力更年期平稳过渡.
To identify the development trajectory of chronic diseases among menopausal women and its influencing factors,and to provide a reference basis for the health management of menopausal women,this study utilized five waves of data spanning 2011-2020 from the China Health and Retirement Longitudinal Study(CHARLS).A total of 3 508 women aged 40-54 at baseline were selected as subjects.Group-based trajectory modeling(GBTM)was employed to identify their chronic disease developmental trajectories,with further subgroup analysis conducted by birth cohort.Results indicated three types of developmental trajectories of chronic diseases among menopausal women:low-level slow growth(21.3%),moderate-level steady growth(60.6%),and high-level rapid growth(18.1%).Trajectory analysis classified by birth cohort further revealed the same three categories.Compared to the 1957-1961 birth cohort,the 1962-1971 cohort had a higher proportion in the low-level group and a lower proportion in the high-level group.Logistic regression analysis indicated that menopausal status,sleep,smoking,and employment status were the main influencing factors for trajectory classification.These findings revealed heterogeneity in the developmental trajectories of chronic diseases among menopausal women.Therefore,the study proposes implementing stratified interventions alongside strengthening health education on chronic disease prevention and control,and providing personalized health services to facilitate a smooth menopausal transition.
陈小婷;温勇;宗占红
南京邮电大学理学院,江苏 南京 210023南京邮电大学理学院,江苏 南京 210023南京邮电大学社会与人口学院,江苏 南京 210023
医药卫生
更年期女性慢性病影响因素组基轨迹模型
menopausal womenchronic diseasesinfluencing factorsgroup-based trajectory model
《南京医科大学学报(社会科学版)》 2026 (1)
78-84,7
国家社会科学基金"积极老龄化视角下老年友好型社区构建研究"(20BRK030)
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