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Record W2103984355 · doi:10.1123/jpah.9.7.985

Differences in Physical Activity Among Adults in Households With and Without Children

2012· article· en· W2103984355 on OpenAlexaff
Jeanette I. Candelaria, James F. Sallis, Terry L. Conway, Brian E. Saelens, Lawrence D. Frank, Donald J. Slymen

Bibliographic record

VenueJournal of Physical Activity and Health · 2012
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversity of British Columbia
FundersNational Heart, Lung, and Blood Institute
KeywordsSittingPhysical activityPsychological interventionPsychologySedentary behaviorScreen timeLeisure timeDemographyChild careDevelopmental psychologyGerontologyMedicinePhysical therapyPediatrics

Abstract

fetched live from OpenAlex

BACKGROUND: The study aim was to assess the relation of parent status to physical activity (PA) and the impact of parental roles, age and number of children on PA. METHODS: Data for 909 women and 965 men, aged 20-57, were analyzed. Mixed Models were used to assess differences in PA between parents and adults without children, with analyses stratified by sex. The primary outcome was accelerometer-measured total daily minutes of moderate-to-vigorous PA (MVPA). RESULTS: Parenthood was not related to MVPA, but mothers reported more total PA than nonmothers. For mothers and fathers, self-reported household activity was higher and sitting time lower, compared with nonparents. Both men and women with children aged 0-5 reported the highest household activity and the lowest sitting time, with household PA higher and sitting time lower with more children. There was no evidence that leisure, transport, or occupational activity varied by parenthood. CONCLUSIONS: Considering the potential impact of child-rearing on parent time demands, there was little difference in parents' objectively measured MVPA compared with nonparents. Educational interventions or extracurricular programs for students and parents could target families with school-aged children. Development of tools to obtain parent reports of child care-specific PA behaviors would be useful.

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 score0.036
Threshold uncertainty score0.803

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 communication0.0000.001
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 head0.030
GPT teacher head0.313
Teacher spread0.283 · 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

Citations44
Published2012
Admission routes1
Has abstractyes

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