ReviewBMC pediatrics2022
Setting and prioritizing evidence-informed policies to control childhood obesity in Iran: a mixed Delphi and policy dialogue approach.
Review in BMC pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed, 3 citations in OpenAlex.
- A scoping review of obesity policies and reimbursement landscape: global insights and lessons for Thailand.Implementation science communications · 2026Article
- Barriers and facilitators to the institutionalization and sustainability of knowledge translation platforms in the eastern Mediterranean: a scoping review.Health research policy and systems · 2025Article
- Addressing childhood obesity in Iran: exploring a multifaceted conceptual model in a low/middle income country through stakeholder lens.BMC public health · 2025Article
- A Comparative Analysis of Butter, Ghee, and Margarine and Its Implications for Healthier Fat and Oil Group Choices: SWOT Analysis.Food science & nutrition · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe prevalence of childhood obesity (CO) and related complications is high and alarmingly increasing in Iran. This study applied a mixed Delphi & Policy Dialogue approach to exploring and prioritizing policy options to control childhood obesity in Iran.
methodsThis study is organized in three Delphi phases followed by a policy dialogue session. This study applied the advocacy collation framework and evidence-informed policy-making approach to enhance the chance of a feasible and acceptable policy package. The first step consisted of interviews with 30 experts and primary stakeholders. Based on their answers and a comprehensive literature review, a list of presumed effective policy options to combat CO in Iran was made. Then, panelists were asked to score each policy option using a five-point Likert scale in seven constructs. To maximize the spread of opinions, panelists were chosen to represent three perspectives: policy-makers at different levels, presidents of various organizations who would implement potential policy options, and academics. Twenty-one stakeholders were invited to discuss the policy options in a policy dialogue section.
resultsWe introduced 27 policy options and asked stakeholders to rank them using seven criteria on a five-level Likert scale. Totally, 41 experts participated in round 2 (66.2% response rate), and 33 experts took part in round 3 (72% response rate). Participants believed that healthy schools, creating healthy environments in kindergartens and other child care centers, subsidizing healthy foods, educating healthy lifestyles in mass media, and increasing access to physical activity facilities are the most effective and feasible policies in controlling CO. After the policy dialogue, the healthy school remained the most prioritized policy. a policy package to combat CO in Iran was designed with the participation of all stakeholders.
conclusionThe advocacy collation framework and the evidence-informed policy-making approach were used to draft a policy package to combat CO, increasing the acceptability and feasibility of the developed policy package.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.