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Record W2234076987 · doi:10.5779/hypothesis.v10i1.388

Milder forms of obesity may be a good evolutionary adaptation: 'Fitness First' hypothesis

2015· article· en· W2234076987 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueHypothesis · 2015
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsnot available
Fundersnot available
KeywordsObesityBiologyInsulin resistanceFecundityOffspringBioinformaticsEndocrinologyGeneticsMedicineEnvironmental healthPopulation

Abstract

fetched live from OpenAlex

The prevalence of obesity is steadily increasing and is considered mal- adaptive, as it is a risk factor for diabetes, hypertension, cardiovascular illnesses and cancer. However, contrary to popular be- lief and expectations, recent studies have shown that people with milder grades of adiposity survive better (obesity para- dox), both in normal and adverse condi- tions. Several new observations have been made on how insulin resistance accompa- nying obesity may be beneficial in selected situations. Insulin resistance operates at the post receptor level and selectively involves the phosphatidylinositol 3-kinase pathway controlling glucose metabolism while leav- ing the mitogen-activated protein kinase pathways intact, which promotes somatic growth. In insulin-resistant states, glucose is shunted away from the glycolytic pathways to the pentose phosphate pathway gener- ating more nicotinamide adenine dinucleo- tide phosphate (NADPH) for antioxidant enzymes for combating stress. Mild obesity improves survival probability but at the same time decreases fertility. Anthropological evidence shows that humans produce fewer children in resource-rich environ- ments, leading to improved biological fitness of progeny. This article examines the situ- ation of the obesity epidemic from a fresh evolutionary point of view, discusses and integrates the evidence from medicine, mo- lecular biology, evolution and anthropology, and hypothesizes that milder forms of adi- posity may be an evolutionary adaptation of humans to a resource-rich environment - a mechanism improving survival and promot- ing investment in fewer offspring, thereby improving the biological fitness of the race. However, this article does not recommend that readers maintain a bulging waistline. INTRODUCTION Obesity is a state in which excess fat is deposited at various sites in the body, gradually leading to a variety of health-related problems. The incidence of obesity is increasing world- wide; it is estimated that there are more than 1.4 billion people in the world who are overweight, of whom 500 million are obese 1 . In the USA, in 2012, it was esti- mated that 67.3% of people were obese or overweight 2 .

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)0.000
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 score0.206
Threshold uncertainty score0.781

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.100
GPT teacher head0.279
Teacher spread0.179 · 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