The total fertility rate in Iran has declined to below replacement level recently, and a new approach has been taken to tackle this issue. Thus, this study aimed to identify the involved stakeholders and their characteristics in the new population policy change in Iran. We employed a qualitative approach using the purposive sampling of key informants and the identification of relevant documents. The main stakeholders were divided into seven key groups: religious, political, governmental, professional, international sectors, media, and nongovernmental organizations. In addition, there was no centralized, clear, and comprehensive mechanism to guide the activities of stakeholders to coordinate and bring the total fertility rate to the replacement level in Iran. Despite the importance of the new population policy in Iran, in recent years, we still experience dispersion and inconsistency among various actors in this area. It is imperative to go through a consensus and coalition at macro-level authorities alongside evidenced-based population policymaking.
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http://dx.doi.org/10.1186/s41043-022-00338-2 | DOI Listing |
Soc Stud Sci
January 2025
Ford School of Public Policy, University of Michigan, Ann Arbor, MI, USA.
There is growing concern around the world about declining trust in the scientific enterprise. Some STS scholars argue that the solution is to move to a system of 'virtual diversity' where scientists are responsible for translating public concerns into their work. This commentary argues that this containment approach will have the opposite effect.
View Article and Find Full Text PDFAddiction
January 2025
Department of Addictions, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Background And Aims: Many vaping products feature bright colors and novel brand names and flavor descriptors, which may appeal to youth. We measured the strength of the associations between e-liquid packaging design (branded, white standardized or white standardized limiting brand and flavor descriptors) and perceived peer interest in trying the e-liquids among youth.
Design: A between-subjects online experiment.
Heart Rhythm O2
December 2024
Cardiology Department, Health Sciences North Research Institute, Northern Ontario School of Medicine University, Sudbury, Ontario, Canada.
Background: There is consensus on the safety of standard dose direct oral anticoagulants (DOACs) for stroke prevention in patients undergoing cardioversion of atrial fibrillation (AF), but outcomes of reduced dose DOACs in this setting remain unclear.
Objective: This systematic review and meta-analysis aimed to compare the rate of cardioversion-associated thromboembolic events between patients taking reduced dose DOACs and those receiving standard dose anticoagulation.
Methods: A systematic search was conducted for studies published between January 1, 2009, and February 16, 2024 in PubMed, Embase, and Cochrane Central Register of Controlled Trials.
Cureus
December 2024
Department of Environmental Health Engineering, Faculty of Public Health, Sri Ramachandra Institute of Higher Education and Research (Deemed to be University), Chennai, IND.
Background Chronic kidney disease (CKD) is prevalent in India, particularly among underprivileged populations. Government initiatives such as the Dr. YSR Aarogyasri Health Insurance Scheme aim to provide affordable healthcare to economically impoverished individuals with kidney diseases.
View Article and Find Full Text PDFNPJ Clim Atmos Sci
January 2025
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA 30332 USA.
Climate change poses direct and indirect threats to public health, including exacerbating air pollution. However, the influence of rising temperature on air quality remains highly uncertain in the United States, particularly under rapid reduction in anthropogenic emissions. Here, we examined the sensitivity of surface-level fine particulate matter (PM) and ozone (O) to summer temperature anomalies in the contiguous US as well as their decadal changes using high-resolution datasets generated by machine learning.
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