ReviewBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2025
[Utilising behavioural data to promote climate-healthy behaviour: methods, potential and future directions].
Review in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Climate-healthy behaviour plays a key role in designing sustainable strategies for health promotion. This article demonstrates how behavioural data can be leveraged to gain a clearer understanding of individual routines and structural conditions, and how evidence-based measures can be developed on that basis. Based on the interdisciplinary approach of behavioural and cultural insights (BCIs) and the COM‑B theoretical framework (Capability, Opportunity, Motivation-Behaviour), it explains how psychological, social and cultural factors influence human behaviour and the role of systematic behavioural data collection in promoting climate-healthy routines.On one hand, quantitative approaches such as online surveys, experience sampling (a real-time survey of experience and behaviour in everyday life) and (online) experiments allow for large-scale analysis and the identification of behavioural patterns. On the other hand, qualitative methods (e.g. interviews, focus groups, diary studies) provide in-depth insights into decision-making processes and social norms. Combined into so-called mixed-methods approaches, these procedures can uncover barriers-such as limited knowledge or insufficient infrastructure-and target them.Using the HEATCOM and PACE projects as examples, the article illustrates how heat protection and climate-healthy behaviour are examined within this integrative concept. Ethical considerations and data protection issues are also discussed, demonstrating how transparency and scientific evidence can dispel concerns of manipulation. Finally, the challenges of political implementation are explored, and recommendations for decision-makers are outlined on how to successfully integrate behavioural data into climate adaptation and health promotion measures.
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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.