MétaCan
Menu
← Back to cohort

Introducing The Physical Activity Longitudinal Study

2005· article· en· W2017230709 on OpenAlexaffabout
Cora L. Craig, Lise Gauvin, Sue E. Cragg, Peter T. Katzmarzyk, Thomas M. Stephens, Storm J. Russell, Marjorie Keast, Lloyd Bentz, Louise Potvin

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2005
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsMinistry of Health and Long Term CareQueen's UniversityAlberta Environment and Protected AreasUniversité de MontréalInro Consultants (Canada)Canadian Fitness and Lifestyle Research Institute
Fundersnot available
KeywordsPsychologyPhysical fitnessGerontologyMental healthPopulationVitalityLongitudinal studyCohortWaistNeighbourhood (mathematics)DemographyMedicineObesityEnvironmental healthPhysical therapy

Abstract

fetched live from OpenAlex

Substantial evidence has been accumulated on the health benefits of physical activity. However, the relative contributions of individual and environmental determinants of lifetime participation are poorly understood. PURPOSE To outline the background and methods of the Physical Activity Longitudinal Study (PALS), a follow-up study that was undertaken to examine the individual- and neighborhood-level influences on long-term participation in physical activity and its relationship to health outcomes. METHODS The sample was a representative, population- and place-based cohort consisting of 4904 individuals in families participating in the 1981 Canada Fitness Survey and 1988 Campbell's Survey of Well Being. Information on leisure-time physical activity was collected at baseline (1981) and about 20-years later using a validated adaptation of the Minnesota Leisure Time Physical Activity Questionnaire. Self-rated health status was gathered at all time points; self-reported chronic conditions were recorded in 1988 and 2002–4, and physical functioning, bodily pain, vitality, mental health, and physical role limitations were assessed in 2002–4 using a standard scale (SF36). Height and weight were self-reported in 2002–4 and were measured in 1981 and 1988 using the Canadian Standardized Test of Fitness (including waist circumference, aerobic fitness, sit-ups and pushups). Environmental data collected in 2002–4 included neighborhood socio-economic status, social cohesion, and urban form (mixed use, safety, traffic, etc). The place-based design provided data on degree of urbanization at each time point. RESULTS After extensive tracing activities, 2511 individuals provided self-reported data between November 2002 and April 2004. An estimated 899 among the 4904 persons eligible were deceased, which is being confirmed by mortality record linkage; 32 were unable to participate due to health reasons; 973 refused; and the remaining 489 were lost to follow-up. This yields an overall non-response rate of 29.8% over the 20-year period. No differences were observed in the 1981 profile of participants compared to the eligible cohort (physical activity, other lifestyle, health, median income, housing) although fewer respondents than non-respondents smoked or were underweight at baseline. CONCLUSION Results emanating from the population and place perspective of PALS should help inform policy development on socio-environmental factors to promote physical activity and population health. Results will be released through conferences and Publications beginning in 2006.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0120.005

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 head0.044
GPT teacher head0.363
Teacher spread0.319 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2005
Admission routes2
Has abstractyes

Explore more

Same venueMedicine & Science in Sports & Exercise→Same topicPhysical Activity and Health→French-language works237,207→