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Dietary Cognitive Restraint

2004· article· en· W4242896676 on OpenAlex
Rayisa Hontscharuk, Emma O’Donnell, Nancy I. Williams, Tanya Burke, Mary Jane De Souza

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicEducation, Safety, and Science Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineLeptinAthletesInternal medicineFollicular phaseMenarcheTriiodothyronineMenstrual cycleEndocrinologyHormonePhysiologyObesityPhysical therapy

Abstract

fetched live from OpenAlex

0219 Dietary cognitive restraint (CR) describes a conscious limitation of food intake in an effort to control body weight. Higher levels of CR have been reported in exercising women with exercise-associated menstrual disturbances (EAMD) when compared to levels in eumenorrheic (EU) active women. PURPOSE: To determine if dietary CR also serves as a marker for altered energy homeostasis in EAMD, since EAMD is also linked to physiological energy conserving adaptations. METHODS: Athletic women of varying activity levels (n = 38) completed the three factor eating questionnaire and the EDI2, and blood samples were obtained during the early follicular phase (days 2–6) of two consecutive menstrual cycles in EU athletes or day 1 of two consecutive 30-day periods in oligo/amenorrheic (O/Amen) athletes. Blood samples for each cycle were assayed for total triiodothyronine (TT3), insulin and leptin and levels for each cycle averaged for each subject. RESULTS: In this study, 18 athletes exhibited high CR (above the cut-off for normal, i.e. > 10), as defined in the original questionnaire, and 20 athletes demonstrated CR scores in the normal range. These groups were similar (p>0.05) with respect to age (24.6±0.8 yrs), height (164.2±9.5 cm), weight (57.3±1.1 kg), percent body fat (22.9±1.0), age of menarche (12.6±0.2 yrs) and VO2 max (44.2±0.9 ml/kg/min). The athletes with high CR (n = 18) had a higher (p<0.001) mean score of 14.3±0.7 compared to the non-CR group (n = 20) who had a mean score of 4.8±0.5. The high CR group also had a higher (p = 0.035) score on the EDI-2 subscale of drive for thinness than the non-CR group, 5.0±1.2 and 1.9±0.8, respectively. TT3 levels were lower (p = 0.023) in the high CR group (1.4±0.08 nmol/L) compared to the non-CR group (1.6±0.08 nmol/L). Insulin levels were lower (p = 0.048) in the high CR group (27.78±2.1 pmol/L) compared to the non-CR group (38.9±4.2 pmol/L). Leptin levels were similar (4.8±1.1 ng/ml, p = 0.28), likely due to similar fat mass (12.7±0.7 g) between the groups. Among the high CR group, 50% had either O/Amen (n = 9/18), whereas, among the non-CR group, 25% had either O/Amen (n = 5/20), demonstrating that high CR was dependent on menstrual status (χ2 = 9.9, p = 0.042). CONCLUSION: These data suggest that high CR is associated with markers of altered energy homeostasis indicating low energy availability, including TT3 and insulin, previously demonstrated to be low in athletic women with EAMD and that menstrual status was associated with high CR. Funded by Arthur Thornton Cardiopulmonary Fund.

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.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.246
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.010
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.364
Teacher spread0.324 · 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