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Record W3208451055 · doi:10.3390/nu13113907

Feel Good, Eat Better: The Role of Self-Compassion and Body Esteem in Mothers’ Healthy Eating Behaviours

2021· article· en· W3208451055 on OpenAlexafffund
Noémie Carbonneau, Anne C. Holding, Geneviève L. Lavigne, Julie Robitaille

Bibliographic record

VenueNutrients · 2021
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsUniversité LavalUniversité du Québec à Trois-Rivières
FundersSocial Sciences and Humanities Research CouncilSocial Sciences and Humanities Research Council of Canada
KeywordsSelf-compassionPsychologyEmotional eatingKindnessTraitCompassionClinical psychologyEating disordersDevelopmental psychologyMindfulnessEating behaviorMedicineObesity

Abstract

fetched live from OpenAlex

Mothers' eating behaviours are important to ensure the health and well-being of themselves and their families. Recent research has pointed to self-compassion, defined as extending kindness to oneself in times of perceived inadequacy or general suffering, as a trait associated with healthy forms of eating, such as intuitive eating, and reduced maladaptive forms of eating, such as emotional eating. However, little is known about the psychological mechanism through which self-compassion relates to healthy eating behaviours. This study examined 100 mothers' levels of self-compassion, body esteem and eating behaviours. Structural equation modelling revealed that self-compassion was positively associated with diet quality and intuitive eating, while being negatively associated with emotional eating. Moreover, these links occurred, in part, due to higher body esteem. This points to a mechanism through which self-compassion may positively contribute to mothers' healthy eating behaviours. The implications for eating outcomes and women's health are discussed.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.304
Teacher spread0.288 · 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

Citations11
Published2021
Admission routes2
Has abstractyes

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