Literature DB >> 15625663

A structural model of menopausal depression in Korean women.

Heejung Choi1, Dongsuk Lee, Kunsei Lee, Hyeongsu Kim, Eunmi Ham.   

Abstract

The purpose of this study was to develop and test a hypothetical model of predicting depression experienced by women during menopause. The subjects were menopausal women between 45 and 55 years of age, conveniently selected in two Korean cities. The instruments used in collecting data were scales for attitudes towards menopause and aging, scales for social support, scales for social conflicts, and the CES-D scale. Data were collected from 305 subjects through self-reported questionnaires. The data were analyzed using the LISREL program. The results of this study confirm that the important variables in the prediction of menopausal depression are educational and economic statuses, and perceived health status, and that the mediating variables are attitudes towards menopause and aging, social support, and social conflicts. Accordingly, the development of comprehensive intervention programs for decreasing menopausal depression should consider all of these variables.

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Year:  2004        PMID: 15625663     DOI: 10.1016/j.apnu.2004.09.006

Source DB:  PubMed          Journal:  Arch Psychiatr Nurs        ISSN: 0883-9417            Impact factor:   2.218


  3 in total

1.  A situation-specific theory of Asian immigrant women's menopausal symptom experience in the United States.

Authors:  Eun-Ok Im
Journal:  ANS Adv Nurs Sci       Date:  2010 Apr-Jun       Impact factor: 1.824

2.  Prevalence of Depression and its Association with Sociodemographic Factors in Postmenopausal Women in an Urban Resettlement Colony of Delhi.

Authors:  Pooja Ahlawat; M Meghachandra Singh; Suneela Garg; Y M Mala
Journal:  J Midlife Health       Date:  2019 Jan-Mar

3.  Are Essential Women's Healthcare Services Fully Covered? A Comparative Analysis of Policy Documents in Shanghai and New York City from 1978-2017.

Authors:  Qingyu Zhou; Qinwen Yu; Xin Wang; Peiwu Shi; Qunhong Shen; Zhaoyang Zhang; Zheng Chen; Chuan Pu; Lingzhong Xu; Zhi Hu; Anning Ma; Zhaohui Gong; Tianqiang Xu; Panshi Wang; Hua Wang; Chao Hao; Li Li; Xiang Gao; Chengyue Li; Mo Hao
Journal:  Int J Environ Res Public Health       Date:  2021-04-17       Impact factor: 3.390

  3 in total

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