OBJECTIVE: To evaluate prevalence of mental distress and health-related quality of life (HRQoL) in climacteric women. METHODS: A total of 191 women (45 to 65 years of age) were included in this cross-sectional study. A questionnaire about personal information, habits/health, and demographic data was administered in association with the two validated instruments to measure HRQoL, SF-36, Medical Outcomes Study 36-item Short-Form Health Survey and to estimate prevalence of common mental distress (20-item SRQ, Self Reporting Questionnaire). RESULTS: By using the 20-item SRQ for assessing mental distress, and establishing a cut-off level of at least 8 items, 39.8% of the women were categorized as having mental distress. A higher prevalence of mental distress and lower SF-36 scores were found in women in the perimenopause, particularly those with poor education and low family income who did not work outside the home. All SF-36 domains were significantly lower in women with mental distress than those in women without mental distress. CONCLUSION: Prevalence of mental distress is high in this sample of climacteric women and is associated with negative repercussions on the quality of life. This shows that psychosocial factors are significantly involved and psychological support strategies should be instituted in the form of health policies for climacteric women.
OBJECTIVE: To evaluate prevalence of mental distress and health-related quality of life (HRQoL) in climacteric women. METHODS: A total of 191 women (45 to 65 years of age) were included in this cross-sectional study. A questionnaire about personal information, habits/health, and demographic data was administered in association with the two validated instruments to measure HRQoL, SF-36, Medical Outcomes Study 36-item Short-Form Health Survey and to estimate prevalence of common mental distress (20-item SRQ, Self Reporting Questionnaire). RESULTS: By using the 20-item SRQ for assessing mental distress, and establishing a cut-off level of at least 8 items, 39.8% of the women were categorized as having mental distress. A higher prevalence of mental distress and lower SF-36 scores were found in women in the perimenopause, particularly those with poor education and low family income who did not work outside the home. All SF-36 domains were significantly lower in women with mental distress than those in women without mental distress. CONCLUSION: Prevalence of mental distress is high in this sample of climacteric women and is associated with negative repercussions on the quality of life. This shows that psychosocial factors are significantly involved and psychological support strategies should be instituted in the form of health policies for climacteric women.