ArticleApplied psychology. Health and well-being2025
What (not) to eat: Exploring weight-loss and dietary intentions in representative samples from Germany and Austria.
Article in Applied psychology. Health and well-being, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
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Who cites it
5 citing papers in PubMed.
- Self-control strategies to reduce meat consumption: An ecological momentary intervention.Applied psychology. Health and well-being · 2026Trial
- Easy or difficult? Investigating perceived ease of changing eating and physical activity behaviors.Applied psychology. Health and well-being · 2026Article
- Nomothetic and idiographic determinants of dietary lapses and adherence: an exploratory mixed methods ecological momentary assessment study of open-text responses.Frontiers in nutrition · 2026Article
- What (not) to eat: Exploring weight-loss and dietary intentions in representative samples from Germany and Austria.Applied psychology. Health and well-being · 2025Article
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Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite significant health risks associated with high body weight and poor diet, little is known about the prevalence and targets of weight-loss and dietary intentions. This information could, however, help tailor behaviour change interventions. Therefore, the present study described weight-loss and dietary intentions and their co-occurrence in a representative sample (N = 1,510; 50.40% women; M
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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.