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Record W2554382512 · doi:10.5539/jfr.v5n6p80

Fad Diets: Lifestyle Promises and Health Challenges

2016· article· en· W2554382512 on OpenAlexvenueno aff
Jomana Khawandanah, Ihab Tewfik

Bibliographic record

VenueJournal of Food Research · 2016
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsnot available
Fundersnot available
KeywordsObesityOverweightWeight lossPopularityGerontologyGovernment (linguistics)Environmental healthQuality of life (healthcare)MedicineAffect (linguistics)Public healthPsychologySocial psychologyEndocrinologyNursing

Abstract

fetched live from OpenAlex

Chronic excess of dietary intake combined with reduced energy expenditure increase the positive energy balance. This transition in behaviour contributes significantly to prevalence of obesity, impairment of health, reduction in quality of life and increases health-care costs. While obesity has turned into a public health threat, with the government failing to reverse this growing trend, good number of people is undertaking fad diets with the hope to lose weight fast and easy. Furthermore, media and peers contribute to the popularity of fad diets as they put pressure to individuals who desire a certain body image, which leads to low self-esteem and perhaps eating disorders. Despite the fact that fad diets may appeal as simple way to lose weight, recent studies have shown that such diets in the long term are unsustainable and can bring adverse side effects to health. Consideration of the reviewed literature suggests that long-life changes in diet and lifestyle might be the best approaches to maintain a healthy weight in the long term. Overweight individuals should consult nutrition professions before adopting any fad diets to minimise the health risks and psychological impacts.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.916
Threshold uncertainty score0.142

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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)0.0000.000

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 head0.280
GPT teacher head0.458
Teacher spread0.177 · 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.

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

Citations41
Published2016
Admission routes1
Has abstractyes

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