MétaCan
Menu
Back to cohort
Record W4406686916 · doi:10.1093/haschl/qxaf002

Economic and equity evaluation of age restrictions on over-the-counter diet pills and muscle-building supplements

2025· article· en· W4406686916 on OpenAlexaff
Cynthia A. Tschampl, Masami Tabata‐Kelly, Mary R. Lee, Elena Soranno, Upanita Barman, Amanda Raffoul, S. Bryn Austin

Bibliographic record

VenueHealth Affairs Scholar · 2025
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPillEquity (law)Health equityEnvironmental healthMedicinePer capitaPublic healthPublic economicsBusinessDemographyGerontologyHealth careEconomicsEconomic growthPolitical sciencePopulation

Abstract

fetched live from OpenAlex

Over-the-counter diet pills and muscle-building supplements are linked to increased eating disorder diagnoses, especially among youth. With limited regulatory oversight, minors may unknowingly consume harmful substances leading to other adverse effects. Massachusetts has proposed restricting sales to individuals under 18 years. However, concerns about health equity and unintended consequences arise when proposing new policies. We conducted a cost-effectiveness analysis of the proposed age-restriction policy compared to the status quo, focusing on 2 closed cohorts of males and females aged 0-17 years in Massachusetts over a 30-year time horizon. We evaluated the impact from both societal and health systems' perspectives and further assessed equity implications by modeling 3 racial/ethnic subgroups. The policy is projected to prevent 57 034 eating disorder cases and over 46 000 additional adverse medical events (eg, liver injuries). It would yield 51 749 quality-adjusted life years and generate healthcare savings of $14 million and societal savings of $30 million annually. The Latine subpopulation would see the highest per capita health benefits followed by Black and White residents, respectively. Restricting the sale of these supplements to minors offers both health and economic benefits. These findings underscore the policy's effectiveness, fiscal responsibility, and positive equity impacts, providing confidence for policymakers and the public.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.176
Threshold uncertainty score0.444

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0000.000

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 head0.042
GPT teacher head0.390
Teacher spread0.347 · 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 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

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueHealth Affairs ScholarSame topicObesity, Physical Activity, DietFrench-language works237,207