Latent class analysis of symptoms of depression and anxiety among older women

被引:1
作者
Zhou, Kexin [1 ]
Zhu, Xuemei [2 ]
Yang, Li [1 ,3 ]
Gao, Zihan [1 ]
Wei, Xiao [1 ]
Kuang, Jinke [1 ]
Xu, Mengfan [1 ]
机构
[1] Qingdao Univ, Sch Nursing, Qingdao, Shandong, Peoples R China
[2] Harbin Med Univ, Affiliated Hosp 2, Dept Nursing, Harbin, Peoples R China
[3] Qingdao Univ, Sch Nursing, 15 Ningde Rd, Qingdao 266021, Shandong, Peoples R China
关键词
Anxiety; depression; older women; MENTAL-HEALTH; ADULTS; CHINESE; SMOKING; PREVALENCE; DRINKING; SUBTYPES; MIDLIFE; GROWTH; COHORT;
D O I
10.1080/08952841.2023.2243799
中图分类号
R4 [临床医学]; R592 [老年病学];
学科分类号
1002 ; 100203 ; 100602 ;
摘要
ObjectivesThis cross-sectional study aims to consider the potential classification of depression and anxiety symptoms among older women, and identify the influencing factors of this classification.MethodsThis study examines Chinese women aged 65 years and older. Latent class analysis was used to explore the mental health subgroups of older women, and multivariate logistic regression was employed to examine the influencing factors based on the health ecological model among these subgroups.ResultsThe results helped classify this population under three subgroups: the coexistence of depression and anxiety group, dominated depression group, and the low symptoms group. Moreover, class differences in terms of age, residence, education, income, assessment of current life and health status, sleep duration, and health behaviors, such as alcohol use and exercise were noted.ConclusionsThese findings explain the heterogeneity among older women, and help illuminate their unique aspects of mental health. Accordingly, they are significant for scholars and policymakers to understand depression and anxiety among older women.
引用
收藏
页码:93 / 106
页数:14
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