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Record W3190426747 · doi:10.1037/sah0000334

Factors linking perceived discrimination and weight bias internalization to body appreciation and eating pathology: A moderated mediation analysis of self-compassion and psychological distress.

2021· article· en· W3190426747 on OpenAlexaff
Rachelle Pullmer, Stephanie G. Kerrigan, Carlos M. Grilo, Janet A. Lydecker

Bibliographic record

VenueStigma and Health · 2021
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsSt. Paul's Hospital
FundersNational Institute of Diabetes and Digestive and Kidney Diseases
KeywordsPsychologyInternalizationSelf-compassionPsychopathologyWeight stigmaModerated mediationDistressClinical psychologyMediationEating disordersModerationDisordered eatingMindfulnessSocial psychologyBody mass indexOverweightMedicine

Abstract

fetched live from OpenAlex

Stigma and recurrent discriminatory experiences can lead to distress and internalization of biases. Self-compassion is a widely-recognized resilience factor that may decrease the impact of discrimination on psychological well-being. Research highlights the potential utility of self-compassion in counteracting the harmful effects of discrimination, reducing psychological distress, and preventing the development of eating disorders. The current study examined the roles of self-compassion and psychological distress in perceived discrimination, internalized weight bias, body image, and eating pathology. Participants (N=694) living in the United States completed an online battery of measures assessing perceived discrimination, weight bias internalization, self-compassion, psychological distress, body appreciation, and eating pathology. Self-compassion was associated negatively with perceived discrimination, weight-bias internalization, psychological distress, and eating pathology and was associated positively with body appreciation. Moderated mediation analyses examined whether psychological distress statistically mediated the relationship between perceived discrimination (Model 1) or weight bias internalization (Model 2) on body appreciation, as well as between perceived discrimination (Model 3) or weight bias internalization (Model 4) on eating psychopathology. For all models, self-compassion was explored as a moderator of indirect and direct effects. Results revealed how psychological distress mediated the link between perceived discrimination and body appreciation/eating psychopathology, as well as between weight bias internalization and body appreciation, but not eating psychopathology. For weight bias internalization models only, the statistical links between psychological distress in relation to body appreciation/eating psychopathology were stronger for those with lower self-compassion. Self-compassion may promote more effective coping and outcomes for individuals who are subject to societal stigma.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.164
GPT teacher head0.464
Teacher spread0.300 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations15
Published2021
Admission routes1
Has abstractyes

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