Sakineh Mohammad-Alizadeh-Charandabi1, Nazanin Rezaei2, Sevil Hakimi1, Ali Montazeri3. 1. Department of Midwifery, Faculty of Nursing and Midwifery, Tabriz University of Medical Sciences, Tabriz, Iran. 2. Student Research Committee, Department of Midwifery, Faculty of Nursing and Midwifery, Tabriz University of Medical Sciences, Tabriz, Iran. 3. Jahad Daneshgahi Institute of Health Sciences, Tehran, Iran.
Abstract
INTRODUCTION: There have been limited studies on quality of life and its predictors among postmenopausal women. Due to the importance of this subject in health promotion, this study was performed to assess quality of life and its predictive factors in postmenopausal women living in Ilam, Iran. METHODS: In this descriptive correlational study, 400 postmenopausal married women who aged 50-59 years old and lived in Ilam were recruited from 80 randomly selected clusters. The participants were interviewed by a female interviewer using the standard questionnaire of quality of life (SF-36). Data was analyzed by analysis of variance (ANOVA), student's t-test, and linear regression analysis in SPSS. RESULTS: Mean scores (standard deviation) of quality of life in 4 dimensions of physical functioning, general health, mental health, and vitality were 76.8 (19.2), 71.1 (29.2), 74.3 (18.8), and 73.1 (19.6), respectively (with possible range of 0-100). According to linear regression analysis, women with chronic diseases, vasomotor symptoms, or insufficient family income and divorced and widowed subjects had significantly lower scores in all the 4 dimensions of quality of life. Aging was associated with reduced quality of life only in physical functioning dimension (p < 0.001). Although in univariate analysis, quality of life was significantly lower among illiterate participants and those with more children and longer duration of menopause at least in one dimension, the differences were not found to be significant in linear regression analysis. CONCLUSION: Chronic diseases, vasomotor symptoms and insufficient income were strong predictors of all the 4 dimensions of quality of life of postmenopausal women. Therefore, interventions are necessary to improve quality of life and health among this group of individuals.
INTRODUCTION: There have been limited studies on quality of life and its predictors among postmenopausal women. Due to the importance of this subject in health promotion, this study was performed to assess quality of life and its predictive factors in postmenopausal women living in Ilam, Iran. METHODS: In this descriptive correlational study, 400 postmenopausal married women who aged 50-59 years old and lived in Ilam were recruited from 80 randomly selected clusters. The participants were interviewed by a female interviewer using the standard questionnaire of quality of life (SF-36). Data was analyzed by analysis of variance (ANOVA), student's t-test, and linear regression analysis in SPSS. RESULTS: Mean scores (standard deviation) of quality of life in 4 dimensions of physical functioning, general health, mental health, and vitality were 76.8 (19.2), 71.1 (29.2), 74.3 (18.8), and 73.1 (19.6), respectively (with possible range of 0-100). According to linear regression analysis, women with chronic diseases, vasomotor symptoms, or insufficient family income and divorced and widowed subjects had significantly lower scores in all the 4 dimensions of quality of life. Aging was associated with reduced quality of life only in physical functioning dimension (p < 0.001). Although in univariate analysis, quality of life was significantly lower among illiterate participants and those with more children and longer duration of menopause at least in one dimension, the differences were not found to be significant in linear regression analysis. CONCLUSION:Chronic diseases, vasomotor symptoms and insufficient income were strong predictors of all the 4 dimensions of quality of life of postmenopausal women. Therefore, interventions are necessary to improve quality of life and health among this group of individuals.
Entities:
Keywords:
Menopause; Predictive factors; Quality of life; SF-36
Authors: J E Blumel; C Castelo-Branco; L Binfa; G Gramegna; X Tacla; B Aracena; M A Cumsille; A Sanjuan Journal: Maturitas Date: 2000-01-15 Impact factor: 4.342