Given that fertility rates are high in most sub-Saharan countries, it is critically important to understand the drivers of the demand for children to inform population reduction policies. Yet little is known about the individual-level factors that drive the desire for fertility limitation. The desire to limit births may be driven by the achievement of family size targets. However, since children are born at different stages of the life course, fertility desires may also be influenced by past reproductive, socio-economic experiences, and perceptions about future welfare. In this study, the determinants of the desire to stop childbearing were analyzed at the individual-level using prospective longitudinal data (1998-2003) on the reproductive lives of women in six communities in southern Ghana. Using variation within-woman, we modeled the impact of changes in reproductive life cycle events, health status, perceptions of future household economic conditions, perceptions of the cost of additional children, and spousal interactions on a woman's fertility preferences. We found that the desire to stop childbearing is influenced by reproductive life stage (such as age, parity); events (marital transitions, child death); perceptions of personal health (particularly anticipated demands of the next pregnancy on the woman's health); the household's economic welfare; and the overall subjective cost of children. The economic utility models which emphasize cost/benefit considerations, as well as the anthropological and sociological theories which emphasize norms, appear to be validated in this empirical analysis in that both subjective elements and normative considerations are incorporated into fertility decisions.
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http://dx.doi.org/10.1016/j.socscimed.2011.12.035 | DOI Listing |
Postgrad Med J
January 2025
Proof of Concept Center, Eastern Hepatobiliary Surgery Hospital, Third Affiliated Hospital, Second Military Medical University, Naval Medical University, No. 255, Yangpu District, Shanghai, 200433, China.
Objectives: The objective was to investigate the role of double extraction in reducing data errors in evidence synthesis for pharmaceutical and non-pharmaceutical interventions.
Design: Crossover randomized controlled trial (RCT).
Setting: University and hospital with teaching programs in evidence-based medicine.
Front Microbiol
December 2024
School of Art, Xi'an University of Science and Technology, Xi'an, China.
The iterative bleaching extends multiplexity (IBEX) Knowledge-Base is a central portal for researchers adopting IBEX and related 2D and 3D immunofluorescence imaging methods. The design of the Knowledge-Base is modeled after efforts in the open-source software community and includes three facets: a development platform (GitHub), static website, and service for data archiving. The Knowledge-Base facilitates the practice of open science throughout the research life cycle by providing validation data for recommended and non-recommended reagents, e.
View Article and Find Full Text PDFJ Pharm Policy Pract
December 2024
College of Pharmacy, Qatar University, Doha, Qatar.
On 25-26 April 2024, the 5th PPRI (Pharmaceutical Pricing and Reimbursement Information) Conference on ensuring equitable access to affordable medicines took place in Vienna (Austria). Twenty-four accepted contributions were presented either as oral presentations or posters, adding to invited keynote lectures, stakeholder debates and workshops. The global multi-stakeholder audience discussed a range of approaches in pharmaceutical policies, which have the potential to successfully and sustainably address current and future challenges in ensuring patient access to affordable medicines globally.
View Article and Find Full Text PDFFront Cell Dev Biol
December 2024
Jiangxi Engineering Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases, Jiangxi Key Laboratory of Organs Development and Epigenetics, Key Laboratory of Jiangxi Province for Biological Invasion and Biosecurity, College of Life Sciences, Clinical Research Center of Affiliated Hospital of Jinggangshan University, Jinggangshan University, Ji'an, China.
Reproductive system diseases have become a major health challenge facing humans, so extensive investigations are needed to understand their complex pathogenesis and summarize effective treatments. In the study of reproductive diseases, mice are the most commonly used animal model. However, the cost and time required to establish mouse animal models are high.
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