Research Output
Articles
Publication Date: 2024
BMC Public Health (14712458)24(1)
Background: spousal violence against women (SVAW) is a common form of violence that occurs within the family context, with spouses being the main perpetrators. Afghanistan has one of the highest rates of SVAW in the world, and its impact on reproductive health and fertility is not well understood. This study aims to investigate the extent to which SVAW influences the total fertility rate (TFR) of Afghan women. Methods: In this study, a regression model of discrete-time survival models was used to calculate the total fertility rate (TFR), parity progression ratio (PPRs), and average closed birth intervals (CBI) between two children. The method used in this study has its roots in the works of Griffin Finney (1983) and was further developed by Redford et al. (2010). The study population utilized the 2015 Afghanistan Demographic and Health Survey, and sample weights were used to ensure accurate estimates for the population of Afghanistan as a whole. Results: The study found that women in Afghanistan who have experienced SV are more likely to progress to the next parity, start childbearing faster, and continue to do so. Women who have not experienced SV tend to progress to higher parities at a slower pace during their initial reproductive years. The study also suggests that women with spousal violence (SV) experience may have slightly higher fertility rates and shorter birth intervals for certain birth orders, although the differences between the two groups are generally small. Specifically, the total fertility rate (TFR) for women who experienced SV was 6.9, while the TFR for women who did not experience SV was 6.2. Conclusions: These results provide valuable information for policymakers and public health professionals in developing effective policies and programs to address SVAW and improve maternal and child health outcomes in Afghanistan. © The Author(s) 2024.
Publication Date: 2023
Journal of Arid Land (16746767)15(4)pp. 424-438
In the current scenario, Lake Urmia, one of the vastest hyper saline lakes on the Earth, has been affected by serious environmental degradation. Using different satellite images and observational data, this study investigated the changes in the lake for the period 1970–2020 based on the effects of climate change and several human-induced processes on Lake Urmia, such as population growth, excessive dam construction, low irrigation water use efficiency, poor water resources management, increased sediment flow into the lake, and lack of political and legal frameworks. The results indicated that between 1970 and 1997, the process of change in Lake Urmia was slow; however; the shrinkage was faster between 1998 and 2018, with about 30.00% of the lake area disappearing. As per the findings, anthropogenic factors had a much greater impact on Lake Urmia than climate change and prolonged drought; the mismanagement of water consumption in the agricultural sector and surface and underground water withdrawals in the basin have resulted in a sharp decrease in the lake’s surface. These challenges have serious implications for water resources management in Lake Urmia Basin. Therefore, we provided a comprehensive overview of anthropogenic factors on the changes in Lake Urmia along with existing opportunities for better water resources management in Lake Urmia Basin. This study serves as a guideline framework for climate scientists and hydrologists in order to assess the effects of different factors on lake water resources and for decision-makers to formulate strategies and plans according to the management task. © 2023, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature.
Publication Date: 2022
BMC Geriatrics (14712318)22(1)pp. 622-622
BACKGROUND: This study first examines the pattern and trend of elderly living alone during the last five censuses in Iran. Then, after describing the characteristics of the elderly who live alone, it determines how social, economic, and demographic characteristics relate to the solo living of the elderly. METHODS: The data for people aged 60 and above are from two sources, including the aggregate data from five successive Iranian censuses and the individual data of 2% of the 2016 Iranian census. To determine the relative importance of variables such as sex, age, education, and activity status of the elderly, a set of logistic regression models using STATA software has been used for individual data analysis of the 2016 census. RESULTS: The proportion of older people living alone in 1986, 1996, 2006, 2011, and 2016 was 9.1, 9.0, 10.9, 14.5, and 14.9%, respectively. City residents are less likely to live alone than villagers, and women are more likely to live alone than men. The odds of living solo among Illiterate, Primary school, Secondary & High school and Holding a high school diploma elderly higher than those with university education. Being a student and homemaker increases solo living relative to employees, but pensioners reduce solo living relative to employees. Moreover, the odds of solo living of the elderly in the early and middle stages of old age is less than in late old age. Also, the variables included in the analysis explained 16% of the variation in solo living. CONCLUSION: The prevalence of elderly solo living is increasing. And this increase continues due to the fundamental decline in childbearing, changes in family structure, and the effects of culture and tradition. Also, due to the rise in life expectancy, which increases the number of years of life with the disease, and disability, the lack of relief organizations will create more difficult conditions for the older people living alone. © 2022. The Author(s).
