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Record W2415779376 · doi:10.1002/oby.21338

Gender expression associated with BMI in a prospective cohort study of US adolescents

2016· article· en· W2415779376 on OpenAlexaff
S. Bryn Austin, Najat J. Ziyadeh, Jerel P. Calzo, Kendrin R. Sonneville, Grace Kennedy, Andrea L. Roberts, Jess Haines, Emily A. Scherer

Bibliographic record

VenueObesity · 2016
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of Guelph
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentMaternal and Child Health BureauNational Institute on Drug AbuseHealth Resources and Services AdministrationNational Institutes of Health
KeywordsSexual orientationMedicineDemographyObesityPsychological interventionBody mass indexLongitudinal studyCohortGerontologyPsychologyInternal medicineSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine the relationship between gender expression (GE) and BMI in adolescence. METHODS: Repeated measures of weight-related behaviors and BMI were collected from 1996 to 2011 via annual/biennial self-report surveys from youth aged 10 to 23 years (6,693 females, 2,978 males) in the longitudinal Growing Up Today Study. GE (very conforming [referent], mostly conforming, nonconforming) was assessed in 2010/11. Sex-stratified, multivariable linear models estimated GE group differences in BMI and the contribution of sexual orientation and weight-related exposures to group differences. Models for males included interaction terms for GE with age. RESULTS: In females, mostly conforming youth had 0.53 kg m(-2) and nonconforming had 1.23 kg m(-2) higher BMI; when adding adjustment for sexual orientation and weight-related exposures, GE group estimates were attenuated up to 8% and remained statistically significant. In males, mostly conforming youth had -0.67 kg m(-2) and nonconforming had -1.99 kg m(-2) lower BMI (age [in years]) interactions were between -0.09 and -0.14 kg m(-2) ; when adding adjustment for sexual orientation and weight-related exposures, GE group estimates were attenuated up to 11% and remained statistically significant. CONCLUSIONS: GE is a strong independent predictor of BMI in adolescence. Obesity prevention and treatment interventions with youth must address ways that gender norms may reinforce or undermine healthful behaviors.

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)0.000
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 score0.006
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.017
GPT teacher head0.291
Teacher spread0.274 · 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

Citations21
Published2016
Admission routes1
Has abstractyes

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