MétaCan
Menu
Back to cohort
Record W2317081346 · doi:10.1123/japa.2015-0019

Physiological Responses to Indoor Versus Outdoor Training in Postmenopausal Women

2015· article· en· W2317081346 on OpenAlexafffund
Marianne Lacharité-Lemieux, Isabelle J. Dionne

Bibliographic record

VenueJournal of Aging and Physical Activity · 2015
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversité de Sherbrooke
FundersCanadian Institutes of Health Research
KeywordsMedicineOverweightPhysical therapyPostmenopausal womenTraining (meteorology)Body mass indexIntensity (physics)Endurance trainingInternal medicine

Abstract

fetched live from OpenAlex

Chronic effects of two different exercise environments on self-chosen intensity and physiological adaptations were examined in postmenopausal women. Twenty-three healthy to overweight (body mass index [BMI] 22-29 kg/m2) postmenopausal women performed three weekly training sessions during 12 weeks and were assigned to either: (1) indoor training or (2) outdoor training. Body composition, metabolic profile, and physical fitness (including Vo2max, maximal strength, and endurance) were assessed pre- and postintervention. Exercise intensity was measured every week during the training. Maximum intensity decreased significantly in time only in outdoor training (p ≤ .05). Body composition and VO2max were significantly improved indoors (p ≤ .05), whereas resting blood pressure and upper body maximal strength and endurance were improved outdoors (p ≤ .05). Indoor training is associated with maintaining intensity over time and slightly higher physiological improvements than outdoor training. However, outdoor training seems promising from a long-term perspective, due to its positive effects on health parameters and exercise adherence.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.872
Threshold uncertainty score0.410

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 communication0.0000.000
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 head0.167
GPT teacher head0.396
Teacher spread0.229 · 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

Citations14
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Aging and Physical ActivitySame topicPhysical Activity and HealthFrench-language works237,207