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Record W4408569338 · doi:10.1096/fba.2024-00140

Global warming and obesity: External heat exposure as a modulator of energy balance

2025· review· en· W4408569338 on OpenAlexaboutno aff
Imani Muhammad, Francene M. Steinberg, Jennifer A. Larsen, Robert B. Rucker

Bibliographic record

VenueFASEB BioAdvances · 2025
Typereview
Languageen
FieldMedicine
TopicThermoregulation and physiological responses
Canadian institutionsnot available
Fundersnot available
KeywordsObesityLipogenesisEarth's energy budgetGlobal warmingLatitudeEnergy balanceEnvironmental scienceClimate changeMedicineEndocrinologyBiologyPhysicsAdipose tissueRadiationThermodynamicsEcology

Abstract

fetched live from OpenAlex

In obesity research, the importance of core body temperature (CBT) regulation is often neglected. CBT thermogenic regulation, however, plays a crucial role in heat management through convection, radiation, and conduction processes to remove heat from the body, as well as metabolic processes that sequester heat through lipogenesis. This review emphasizes that even small changes in CBT can significantly impact metabolic events ranging from ATP production to fat deposition. Accordingly, a case is made that physical events, such as external heat exposure, also impact body compositional changes, as do work and metabolic processes. Examples are provided that suggest that independent diet and exercise, where one lives, can have an impact on body composition and obesity. For example, below 35 degrees of the earth's latitude, obesity rates are often 40 percent or greater among adults. However, in regions between 45 and 50 degrees latitude, such as the US-Canadian border, obesity rates are 25%-30%.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.002

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 head0.022
GPT teacher head0.339
Teacher spread0.316 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations2
Published2025
Admission routes1
Has abstractyes

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