Latent class analysis of symptoms of depression and anxiety among older women.
This 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. This study examines Chinese women aged 65 years and older. Latent class analysis was used to explore the mental...
| Publicado en: | Journal of Women & Aging Vol. 36; no. 2; pp. 93 - 107 |
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| Autores principales: | , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Mar/Apr2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=175671674&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 175671674 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08952841 JWG jtl: Journal of Women & Aging issn: 08952841 maglogo: N pubinfo: dt: Mar/Apr2024 vid: 36 iid: 2 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 175671674 169846599 175671674 175671674 10.1080/08952841.2023.2243799 175671674 ppf: 93 ppct: 14 formats: tig: atl: Latent class analysis of symptoms of depression and anxiety among older women. aug: au: Zhou, Kexin Zhu, Xuemei Yang, Li Gao, Zihan Wei, Xiao Kuang, Jinke Xu, Mengfan affil: School of Nursing, Qingdao University, Qingdao, Shandong Province, China sug: subj: Mental Health Evaluation Depression Anxiety Signs and Symptoms Women's Health Human China Cross Sectional Studies Female Aged Aged, 80 and Over Descriptive Statistics Structural Equation Modeling Multivariate Analysis Logistic Regression Educational Status Health Behavior Income Health Status Alcohol Drinking Sleep Duration Aged: 65+ years Aged, 80 & over Female ab: This 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. This 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. The 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. These 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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