Evidence map›Paper›PMID 42247337›Full record

ArticleObesity facts2026

Causal Attributions for Obesity and Weight Loss in the Healthy Weight Coaching Program, a 12-Month Online Lifestyle Intervention.

Madeleine P Jones, Mikko S Venäläinen, Anu Joki, Laura-Unnukka Suojanen, Kirsi H Pietiläinen, Aila J Ahola

Abstract read
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Article in Obesity facts, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Madeleine P JonesUniversity of South Florida Morsani College of Medicine, Tampa, Florida, USA.
Mikko S VenäläinenDepartment of Medical Physics, Turku University Hospital and University of Turku, Turku, Finland.
Anu JokiObesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Laura-Unnukka SuojanenHealthy Weight Hub, Abdominal Centre, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Kirsi H PietiläinenObesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland, kirsi.pietilainen@helsinki.fi.
Aila J AholaObesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland, aila.ahola@helsinki.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe investigated how causal attributions - that is, individuals' beliefs about what caused their obesity - are associated with weight loss in a digital lifestyle intervention.

methodsData were collected from Healthy Weight Coaching, a 12-month real-world online intervention. Weight and height were self-reported. Body mass index (BMI) was calculated using interpolated weights at 3, 6, 9, and 12 months. At baseline, participants completed an eight-item questionnaire on causal attributions, rating each as playing no role, some role, or a major role. TwoStep cluster analysis grouped individuals with similar response profiles.

resultsData were available for 1,834 participants (1,524 [83.1%] women, median age 52 years, median BMI 39.1 kg/m2). Participants most frequently attributed obesity to unhealthy dietary habits and lack of physical activity, whereas genetics, family lifestyle habits, and medication were least endorsed. Attributing obesity to stress (somewhat, standardized B = 0.156 [95% CI, 0.051-0.262]; very much, B = 0.204 [95% CI, 0.100-0.307]), fatigue (very much, B = 0.154 [95% CI, 0.073-0.235]), adversities in life (somewhat, B = 0.112 [95% CI, 0.041-0.184]; very much, B = 0.100 [95% CI, 0.024-0.176]), or medication (somewhat, B = 0.089 [95% CI, 0.022-0.155]; very much, B = 0.108 [95% CI, 0.025-0.192]) were associated with lower weight loss compared with those not endorsing these attributions. However, only stress ("very much") reached a small effect size according to Cohen's criteria, whereas the remaining associations were negligible in magnitude despite statistical significance. Cluster analysis revealed four clusters. Compared to those behaviourally focused, particularly endorsing dietary habits and physical activity, all other clusters showed higher endorsement of stress, fatigue, and adversities in life, with a cluster labelled multifactorial fully endorsing all eight items. Relative to behaviourally focused, all other clusters had lower odds of ≥5% weight loss and lost less weight (broad lifestyle oriented, B = 0.104 [95% CI, 0.032-0.177], p = 0.004; psychologically burdened, B = 0.144 [95% CI, 0.063-0.225], p < 0.001; multifactorial, B = 0.222 [95% CI, 0.136-0.308], p < 0.001). Only the multifactorial cluster reached a small effect size.

conclusionsStrong endorsement of stress as a cause of obesity and membership in the multifactorial cluster were associated with less favourable weight loss outcomes. However, effect sizes were small, suggesting limited standalone impact but potential relevance within broader behavioural and psychological treatment contexts.

Indexed as

Causal attributions for obesityDigital healthObesityWeight loss

Identifiers

PMID42247337
PMCPMC13427023

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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.