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Record W4386878260 · doi:10.1098/rsbl.2023.0152

Greater male variability in daily energy expenditure develops through puberty

2023· article· en· W4386878260 on OpenAlexaff
Lewis G. Halsey, Vincent Careau, Philip N. Ainslie, Heliodoro Alemán-Mateo, Lene Frost Andersen, Liam Anderson, Leonore Arab, Issad Baddou, Linda G. Bandini, Kweku Bedu-Addo, Ellen E. Blaak, Stéphane Blanc, A. Bonomi, Carlijn V. C. Bouten, Pascal Bovet, Søren Brage, Maciej S. Buchowski, Nancy F. Butte, Stefan Gerardus Camps, Regina C. Casper, Graeme L. Close, Lisa H. Colbert, Jamie A. Cooper, Richard Cooper, Prasangi Dabare, Sai Krupa Das, Peter S.W. Davies, Sanjoy Deb, Christine Delisle Nyström, William H. Dietz, Lara R. Dugas, Simon Eaton, Ulf Ekelund, Asmaa El Hamdouchi, Sonja Entringer, Terrence Forrester, Barry W. Fudge, Melanie B. Gillingham, Annelies Goris, Michael Gurven, Hinke Haisma, Catherine Hambly, Daniël J. Hoffman, Marije B. Hoos, Sumei Hu, Noorjehan Joonas, Annemiek Joosen, Peter T. Katzmarzyk, Kitty P. Kempen, Misaka Kimura, William E. Kraus, Wantanee Kriengsinyos, Rebecca Kuriyan, Robert F. Kushner, Estelle V. Lambert, Pulani Lanerolle, Christel Larsson, Nader Lessan, Marie Löf, Corby K. Martin, Eric Matsiko, Gerwin A. L. Meijer, James C. Morehen, James P. Morton, Aviva Must, Marian L. Neuhouser, Theresa A. Nicklas, Robert Ojiambo, Kirsi H. Pietiläinen, Yannis Pitsiladis, Jacob Plange‐Rhule, Guy Plasqui, Ross L. Prentice, Roberto Rabinovich, Susan B. Racette, David A. Raichen, Éric Ravussin, Leanne M. Redman, John J. Reilly, Rebecca M. Reynolds, Susan B. Roberts, Dulani Samaranayake, Luís B. Sardinha, Albertine J. Schuit, Analiza M. Silva, Srishti Sinha, Anders Sjödin, Eric Stice, Albert Stunkard, Samuel S. Urlacher, Mauro Eduardo Valencia, Giulio Valenti, Ludo M. Van Etten, Edgar van Mil, Jeanine Verbunt, Jonathan C. K. Wells, George Wilson, Brian M. Wood, Tsukasa Yoshida, Xueying Zhang, Alexia J. Murphy‐Alford, Cornelia Loechl, Amy Luke, Herman Pontzer, Jennifer Rood, Hiroyuki Sagayama, Klaas R. Westerterp, William W. Wong, Yosuke Yamada, John R. Speakman

Bibliographic record

VenueBiology Letters · 2023
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversity of Ottawa
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesNational Cancer InstituteInternational Atomic Energy Agency
KeywordsBiologyBasal metabolic rateSexual maturityEnergy expenditureBasal (medicine)MorphometricsYoung adultEndocrinologyZoologyInternal medicine

Abstract

fetched live from OpenAlex

There is considerably greater variation in metabolic rates between men than between women, in terms of basal, activity and total (daily) energy expenditure (EE). One possible explanation is that EE is associated with male sexual characteristics (which are known to vary more than other traits) such as musculature and athletic capacity. Such traits might be predicted to be most prominent during periods of adolescence and young adulthood, when sexual behaviour develops and peaks. We tested this hypothesis on a large dataset by comparing the amount of male variation and female variation in total EE, activity EE and basal EE, at different life stages, along with several morphological traits: height, fat free mass and fat mass. Total EE, and to some degree also activity EE, exhibit considerable greater male variation (GMV) in young adults, and then a decreasing GMV in progressively older individuals. Arguably, basal EE, and also morphometrics, do not exhibit this pattern. These findings suggest that single male sexual characteristics may not exhibit peak GMV in young adulthood, however total and perhaps also activity EE, associated with many morphological and physiological traits combined, do exhibit GMV most prominently during the reproductive life stages.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0050.001

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 head0.071
GPT teacher head0.370
Teacher spread0.299 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2023
Admission routes1
Has abstractyes

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