OBJECTIVES: Surgical menopause can influence women's quality of life in many aspects. This study was designed to assess the effectiveness of a multi-dimensional group counseling program based on the great clients, ask clients, tell clients, help clients, explain how to use, return for follow up (GATHER) approach, on quality of life in the surgically menopausal women.METHODS: This randomized clinical trial was conducted using two groups. The study comprised 78 women meeting inclusion criteria who had visited 4 healthcare centers in Tehran from December 2017 to September 2018. The participants were selected through simple random sampling (39 in each group). The intervention group underwent 6 consecutive weekly group counseling sessions based on GATHER approach, whereas the control group received no interventions. Data were collected using the Menopause-specific Quality of Life questionnaire at 4 time-points (i.e., baseline, immediately after the intervention, 1 month after the intervention, and 3 months after the intervention).RESULTS: The trend of changes at four time-points obtained on the basis of repeated measures test results showed significant betweengroup differences in vasomotor (P = 0.001), psychosocial (P = 0.025), and physical (P = 0.001) domains. Friedman test showed significant between-group differences in the mean score trend of changes at 4 time-points in sexual (P = 0.002) and overall quality of life (P = 0.004) domains.CONCLUSIONS: On the basis of the study results, implementation of this approach with less expenditure in healthcare centers aimed at improving quality of life in surgically menopausal women is highly recommended.
Counseling ; Delivery of Health Care ; Female ; Follow-Up Studies ; Health Expenditures ; Humans ; Menopause ; Quality of Life

Objective: With the rise of urbanization globally, the problem of living in slums has become a problem for the civil society. As a vulnerable segment, women make up half of the population in these regions; therefore, women’s mental health has always been a concern. The purpose of this study was to review the social determinants of mental health in women living in slum areas. Methods: We systematically reviewed articles published between 2009 and 2019 on the social determinants of women’s mental health in SID, Magiran, Google scholar, PubMed, Scopus, Science Direct, Embase, MEDLINE, PsychINFO, and PsychARTICLES databases using MeSH keywords according to PRISMA guidelines. The quality of the studies was assessed depending on the type of study using Ottawa Newcastle” scale and Joanna Briggs Institute quality assessment tools. Finally, 23 studies were analyzed. Results: Different social determinants influenced the mental health of women living in slum areas. Among the structural determinants, the socioeconomic level had the highest frequency, and gender was in the second rank with the highest correlation with poorer women’s mental health status. Among the intermediate determinants, living conditions, food insecurity, social capital, and social support were most frequently associated with mental health status. Conclusion Women living in slum areas are prone to developing mental disorders and poorer mental health; therefore, supporting these women and creating job opportunities to raise their incomes and, subsequently, improve their social, economic, and living conditions should be taken into consideration. In addition, this requires careful planning and comprehensive social support.

Objective: In addition to the many social, economic, cultural, security, and environmental problems in the metropolitan areas, suburbanization has led to the growth and spread of domestic violence against women, and is still increasing. Different social determinants can play a role in violence against suburban women, so this study was designed to investigate the social determinants of domestic violence in suburban women of developing countries. Methods: According to PRISMA guideline, the keywords, which were determined considering MESH, were searched in Google Scholar, MEDLINE, SID, Web of Science, Pubmed, Scopus and Science Direct with the 2009 to 2019 time limit. STROBE checklist was used for evaluating quantitative studies and JBI for qualitative studies. Finally 30 high quality studies were included. Results: The prevalence of general domestic violence among women of different ages was reported between 2.3-73.78% in the suburban regions of developing countries. The prevalence of physical, emotional and psychological violence was about 11.54-61.6% and 7.8-84.3%. The prevalence of sexual,economic and the verbal violence was about 0.8-58.8%, 13.7- 43.7% and 33.21-86.1%. The most common factors affecting violence against women were the structural factors of early marriage, the husband’s addiction to alcohol and drugs. Conclusion General domestic violence and its various types are prevalent in different parts of the world and the factors affecting domestic violence such as age, marriage age, low literacy, husband addiction to alcohol and drugs are all things that can be prevented by special health planning in these areas to improve women’s health and thus prevent violence against suburban women.

Objective: With the rise of urbanization globally, the problem of living in slums has become a problem for the civil society. As a vulnerable segment, women make up half of the population in these regions; therefore, women’s mental health has always been a concern. The purpose of this study was to review the social determinants of mental health in women living in slum areas. Methods: We systematically reviewed articles published between 2009 and 2019 on the social determinants of women’s mental health in SID, Magiran, Google scholar, PubMed, Scopus, Science Direct, Embase, MEDLINE, PsychINFO, and PsychARTICLES databases using MeSH keywords according to PRISMA guidelines. The quality of the studies was assessed depending on the type of study using Ottawa Newcastle” scale and Joanna Briggs Institute quality assessment tools. Finally, 23 studies were analyzed. Results: Different social determinants influenced the mental health of women living in slum areas. Among the structural determinants, the socioeconomic level had the highest frequency, and gender was in the second rank with the highest correlation with poorer women’s mental health status. Among the intermediate determinants, living conditions, food insecurity, social capital, and social support were most frequently associated with mental health status. Conclusion Women living in slum areas are prone to developing mental disorders and poorer mental health; therefore, supporting these women and creating job opportunities to raise their incomes and, subsequently, improve their social, economic, and living conditions should be taken into consideration. In addition, this requires careful planning and comprehensive social support.

Objective: In addition to the many social, economic, cultural, security, and environmental problems in the metropolitan areas, suburbanization has led to the growth and spread of domestic violence against women, and is still increasing. Different social determinants can play a role in violence against suburban women, so this study was designed to investigate the social determinants of domestic violence in suburban women of developing countries. Methods: According to PRISMA guideline, the keywords, which were determined considering MESH, were searched in Google Scholar, MEDLINE, SID, Web of Science, Pubmed, Scopus and Science Direct with the 2009 to 2019 time limit. STROBE checklist was used for evaluating quantitative studies and JBI for qualitative studies. Finally 30 high quality studies were included. Results: The prevalence of general domestic violence among women of different ages was reported between 2.3-73.78% in the suburban regions of developing countries. The prevalence of physical, emotional and psychological violence was about 11.54-61.6% and 7.8-84.3%. The prevalence of sexual,economic and the verbal violence was about 0.8-58.8%, 13.7- 43.7% and 33.21-86.1%. The most common factors affecting violence against women were the structural factors of early marriage, the husband’s addiction to alcohol and drugs. Conclusion General domestic violence and its various types are prevalent in different parts of the world and the factors affecting domestic violence such as age, marriage age, low literacy, husband addiction to alcohol and drugs are all things that can be prevented by special health planning in these areas to improve women’s health and thus prevent violence against suburban women.