The Effects of Caregiving on Women's Self-Assessed Health Status: An International Comparison.
To compare the self-assessed health status (SAHS) of female caregivers of older adults across the United States (N = 1,496), China (N = 485), and the United Kingdom (N = 252), data from three data sets were analyzed to isolate significant predictors of SAHS using an adapted meta-analytic technique....
| Publicado en: | Health Care for Women International Vol. 33; no. 10; pp. 878 - 896 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Oct2012
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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=104502465&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104502465 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 07399332 1HP jtl: Health Care for Women International issn: 07399332 maglogo: N pubinfo: dt: Oct2012 vid: 33 iid: 10 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 104502465 79722975 10.1080/07399332.2011.645966 NLM22946591 104502465 ppf: 878 ppct: 18 formats: fmt: @attributes: type: P tig: atl: The Effects of Caregiving on Women's Self-Assessed Health Status: An International Comparison. aug: au: Arnsberger, Pam Lynch, Una Li, Fenfang affil: School of Social Work, University of Hawai‘i at Manoa, Honululu, Hawai‘i, USA sug: subj: Health Status Caregivers Women's Health Self Concept Human United States United Kingdom Female Self Report Probability Sample Activities of Daily Living Surveys Interviews Northern Ireland Sample Size China Meta Analysis Coding Variable Effect Size Data Analysis Software Fisher's Exact Test Chi Square Test Confidence Intervals Female ab: To compare the self-assessed health status (SAHS) of female caregivers of older adults across the United States (N = 1,496), China (N = 485), and the United Kingdom (N = 252), data from three data sets were analyzed to isolate significant predictors of SAHS using an adapted meta-analytic technique. Higher income and full-time employment were predictors of higher SAHS; chronic health condition and emotional strain predicted lower SAHS. Female gender was a predictor of lower SAHS. The health status of women was negatively impacted by the caregiving experience. National policies, such as those in the United Kingdom, may result in higher SAHS for women caregivers. pubtype: Academic Journal doctype: meta analysis research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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