MétaCan
Menu
Back to cohort
Record W2113279562 · doi:10.1123/jpah.5.4.592

Gender Differences in Response to a Physical Activity Intervention in Overweight and Obese Children

2008· article· en· W2113279562 on OpenAlexafffund
Gary S. Goldfield, Risa Mallory, Denis Prud’homme, Kristi B. Adamo

Bibliographic record

VenueJournal of Physical Activity and Health · 2008
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsChildren's Hospital of Eastern Ontario
FundersCanadian Institutes of Health Research
KeywordsOverweightPhysical activityIntervention (counseling)ObesityPsychologyChildhood obesityMedicineDevelopmental psychologyGerontologyPhysical therapyEndocrinologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: This study evaluated the effects of gender on response to a behavioral intervention that rewarded increases in physical activity (PA) with increases in access to TV viewing. METHODS: We performed a secondary analysis of a clinical trial that randomized 30 overweight or obese, 8- to 12-year-old children to an intervention (8 boys, 6 girls) or control (7 boys, 9 girls) group. Participants wore accelerometers every day for 8 weeks and attended biweekly meetings to download the activity monitors. For the intervention group, accumulating 400 counts of PA on accelerometers earned 1 hour of TV time, which was controlled by a Token TV electronic device. Controls wore activity monitors but had free access to TV. RESULTS: Compared with girls, boys in the intervention group exhibited greater increases in overall daily PA counts (110% versus 40%, P < .05) and minutes per day of moderate-to-vigorous physical activity (MVPA; +18.1 versus +2.7, P < .05). Neither boys nor girls in the control group showed significant changes in overall PA or intensity of PA. CONCLUSION: Wearing an accelerometer in combination with rewarding PA with TV might be a more effective intervention for increasing overall PA and time spent in MVPA in overweight and obese boys than it is for overweight or obese girls.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.115
Threshold uncertainty score0.752

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.053
GPT teacher head0.354
Teacher spread0.301 · 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

Citations25
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Physical Activity and HealthSame topicObesity, Physical Activity, DietFrench-language works237,207