SynthesisNature human behaviour2025
A systematic review and meta-analysis of the effectiveness of social norms messaging approaches for improving health behaviours in developed countries.
Synthesis in Nature human behaviour, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review and meta-analysis of the effectiveness of social norms messaging approaches for improving health behaviours in developed countries.Nature human behaviour · 2025Pooled it
- The Impact of Chatbot Type and Normative Messaging on Chatbot Usage Intention Based on the Health Technology Acceptance Model: Randomized Controlled Trial.Journal of medical Internet research · 2026Trial
- Authority endorsements backfire and social norms fail to increase vaccination intent in post-COVID Kazakhstan.SSM - population health · 2026Article
- Combined signals of scientific and social consensus best mobilize action on societal challenges even if government and industry oppose.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Sustainability and nutritional composition of food choices in hospital canteens: a pre-post intervention study.Frontiers in nutrition · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Social norms approaches have been widely applied in health promotion as a cost-effective behaviour-change strategy, but have been little evaluated as a whole. We conducted a pre-registered systematic review and meta-analysis of randomized controlled trials using social norms messaging in developed countries targeted at changing health behaviours among 16+-year-olds to evaluate their effectiveness. Relevant studies were identified through searches in PsycINFO, Medline, Embase, Web of Science, TRIP, Cochrane and grey literature sources. Risk of bias was assessed independently by two reviewers using the Cochrane RoB 2 tool. A random-effects meta-analysis standardized effect sizes to Cohen's d, assessed heterogeneity with I² and applied robust Bayesian meta-analysis to adjust for publication bias. Searches resulted in 89 studies (n = 85,759), which exhibited a small effect of social norms messaging on health behaviours (Cohen's d = 0.1, 95% confidence interval (CI) [0.09, 0.19], P < 0.001). However, this effect disappeared after controlling for publication bias. We conducted moderator analyses, finding no significant differences from the overall effect for different types of social norms message, delivery modalities, health domains or target populations. The review is limited by the lack of studies assessing whether normative information changed participant perceptions, inconsistent use of manipulation checks, and high heterogeneity across studies in terms of target behaviour, population and intervention delivery, affecting the robustness of conclusions. Our analysis suggests that when appropriately controlling for publication bias, social norms messages are not effective at improving health behaviours. Thus, future attempts at improving public health should focus on alternative approaches.
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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.