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Record W3164732000 · doi:10.1002/oby.23168

Eating and Exercise‐Related Correlates of Weight Stigma: A Multinational Investigation

2021· article· en· W3164732000 on OpenAlexaboutno aff
Leah M. Lessard, Rebecca M. Puhl, Mary S. Himmelstein, Rebecca L. Pearl, Gary D. Foster

Bibliographic record

VenueObesity · 2021
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood InstituteWW International
KeywordsWeight stigmaStigma (botany)Weight managementMedicinePopulationWeight lossWeight gainGerontologyPsychologyEnvironmental healthClinical psychologyBody mass indexPsychiatryObesityBody weightOverweight

Abstract

fetched live from OpenAlex

OBJECTIVE: Weight stigma is prevalent across the world. However, little is known about whether and how the harmful health consequences of weight stigma may vary across countries. The current study examined the association between experiences of weight stigma and multiple eating and exercise-related indicators among a large, multinational sample of adults. METHODS: Adults enrolled in an international weight management program residing in Australia, Canada, France, Germany, the United Kingdom, and the United States completed identical Web-based surveys in the dominant language for their country. Participants (N = 13,996) reported on their personal experiences of weight stigma and health, including eating behaviors, attitudes toward exercise, and perceived stress. RESULTS: More than half of all participants in each country reported experiencing weight stigma. Participants who had experienced weight stigma reported engaging in more eating to cope, gym avoidance, and self-monitoring behaviors, as well as higher levels of stress and reduced eating self-efficacy. These associations were documented over and above sociodemographic characteristics and BMI and did not vary across countries. CONCLUSIONS: Study findings document uniform health-related correlates of weight stigma within a multinational context and underscore the need for global initiatives to curtail weight stigma in order to support population health.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.371
Teacher spread0.332 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations30
Published2021
Admission routes1
Has abstractyes

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