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Record W1933779592

Weight loss and body shape expectations of laparoscopic sleeve gastrectomy candidates in Newfoundland and Labrador

2013· dissertation· en· W1933779592 on OpenAlexaboutno aff
Hilary I. Price

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2013
Typedissertation
Languageen
FieldMedicine
TopicBariatric Surgery and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsWeight lossBody mass indexSleeve gastrectomyMedicineDreamSurgeryPsychological interventionObesityDemographyGeneral surgeryPsychologyGastric bypassInternal medicinePsychiatryPsychotherapist
DOInot available

Abstract

fetched live from OpenAlex

Background: Laparoscopic sleeve gastrectomy (LSG) is a restrictive type bariatric surgery that promotes significant, sustainable weight loss in obese individuals (body mass index (BMI) ≥ 40 kg/m² or BMI 35.0-39.9 kg/m² with major comorbidity) resulting in 45-60% excess weight loss (%EWL). Unrealistic expectations have been consistently reported in the literature of individuals seeking both non-surgical and surgical weight loss interventions. It has been argued that they may negatively impact treatment adherence and weight loss outcomes. -- Purpose: To examine the postoperative weight loss and body shape expectations of LSG candidates in Newfoundland and Labrador (NL). -- Methods: The 'Goals and Relative Weights Questionnaire' and 'Stunkard Figure Rating Scale' were administered to 84 consecutive LSG candidates. They reported postoperative weight loss and body shape expectations in four categories: (1) dream (whatever you wanted); (2) happy (would be happy to achieve); (3) acceptable (could accept even if not happy with); and (4) disappointed (would not view as successful in any way) before the start of a bariatric surgery education session. Body image dissatisfaction (BID) was scored. -- Results: Of the 84 candidates, 69 were women and 15 were men (age 43.7 ± 8.7 years; BMI 49.0 ± 7.0 kg/m²). Expectations for their dream (71.1 ± 11.7 kg), happy (80.0 ± 14.2 kg), acceptable (86.2 ± 17.0 kg) and disappointed (105.6 ± 21.0 kg) weights equated to higher %EWLs (88.7 ± 11 .3 %EWL; 76.4 ± 12.8% EWL; 68.2 ± 16.1 %EWL; and 40.6 ± 21.0 %EWL) than are clinically expected from LSG. %EWLs were significantly different (p<0.05-p<0.003) between all weight loss categories, except goal and dream weights. Men and women were dissatisfied with their current body image (BID score= 4.1± 1.3) and had unrealistic postoperative body shape expectations. -- Conclusions: There is a disconnect between the weight loss expectations of bariatric surgery candidates in NL and what can be clinically expected from LSG surgery. Body shape expectations do not correspond with evidence-based weight loss outcomes from LSG surgery.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.670
Threshold uncertainty score0.655

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.264
Teacher spread0.249 · 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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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