ArticleGlobal health action2025
Developing capacity in identifying cost-effective interventions to prevent and reduce obesity in China.
Article in Global health action, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Article
- The impact of agricultural technological innovation on residents' health and its spatial effects.Frontiers in public health · 2025Article
- Does abnormal weight affect sperm quality? A case-control study based on bioelectrical impedance analysis.Frontiers in nutrition · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obesity is associated with multiple noncommunicable diseases and has increased rapidly worldwide. Population obesity in China grew fourfold between 1993 and 2015, increasing most rapidly among children and adolescents. Cost-effective policies and programs delivered over time and at scale are required to change this trajectory, yet application of methodologies to identify such interventions have been sparse. UNICEF China and Peking University together identified the need to strengthen the intervention evidence available to policymakers and to build stakeholders' knowledge and skills. Investment cases combine a review of intervention evidence, policy landscape assessment, and economic modelling to identify cost-effective interventions suited to a specific context. A training and mentorship program aimed to build awareness, knowledge, and skills about this methodology to encourage its use to support decision making and planning to address obesity. Program participants reported increased knowledge of analytical methods to identify contextually relevant cost-effective obesity interventions (92% of evaluation respondents), and 82% reported increased knowledge of evidence-based obesity interventions. 79% reported confidence to apply the learning in their job roles. Training and mentorship can enhance stakeholder knowledge, skills, and confidence to apply investment case methodology to develop economic evidence to strengthen the basis of obesity policy and program commissioning.
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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.