ObjectivesMenopause can have psychological, physical, and vasomotor symptoms along with sexual dysfunction and these symptoms can affect the quality of life (QOL). The purpose of this research was to determine and association the effective factors on QOL among postmenopausal Iranian women.MethodsThis cross-sectional study was conducted in 2015 on 300 postmenopausal women in Hamadan, Iran. We used the Menopause-Specific QOL questionnaire (MENQOL) for measuring QOL in postmenopausal women. SPSS version 16 was used for data analysis.ResultsThe mean scores of QOL for vasomotor, psychosocial, physical, and sexual domains were 11.65 ± 5.93, 19.36 ± 1.20, 39.12 ± 1.95 and 11.02 ± 5.66, respectively. Higher scores had worse QOL. Using MENQOL scores, our study showed significant differences in QOL based on age, education level, financial status, number of children, employment, and body mass index (BMI).ConclusionMenopause causes a decrease in QOL, which is dependent to age, work, BMI, financial status and number of children variables. Therefore, it is necessary to develop effective intervention programs to improve QOL in postmenopausal women.

Menopause is a natural part of the aging process in women and is defined as occurring 12 months after the last menstrual period marking the end of menstrual cycles. Menopause has a negative impact on the quality of life (QoL). Various generic and specific questionnaires have been used for assessing different dimensions of QoL in menopausal women. The purpose of this systematic review was to identify those general and specific instruments, and to determine the factors that affect QoL in menopausal women. We assessed eight specific and three general tools and found that some general and specific instruments, such as the 36-item short form (SF-36) and the Menopause Specific Quality of Life Questionnaire (MENQOL), were mostly used for assessment. The specific tools available were diverse. Employment status and a high educational level in menopausal women were considered to be protective factors in improving QoL. Identification of predicting factors of QoL, such as body mass index, race, age, duration of menopause, and social and occupational variables can help to improve the QoL of these women allowing planning of psychological consultations and practical interventions.

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There is sufficient documents based on the observational studies that smoking during pregnancy is significantly associated with an increased risk of placenta previa. Therefore, smoking during pregnancy can be considered as a predictor of placenta previa.