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Record W4417091258 · doi:10.1093/abm/kaaf098

Changes in physical activity 1 year after breast cancer diagnosis and associations with patient-reported outcomes: results from the AMBER cohort

2025· article· en· W4417091258 on OpenAlexafffundabout
Jeff K. Vallance, Christine M. Friedenreich, Ruixuan Zhang, Qinggang Wang, Charles E. Matthews, Lin Yang, Margaret L. McNeely, Chad W. Wagoner, Nicole Culos-Reed, Gordon J. Bell, Jessica McNeil, Leanne Dickau, Kerry S. Courneya

Bibliographic record

VenueAnnals of Behavioral Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversity of AlbertaUniversity of CalgaryAlberta Health ServicesAthabasca University
FundersCanadian Institutes of Health ResearchCanada Research Chairs
KeywordsPhysical activityBreast cancerCohortCohort studyMotor activityPhysical activity level

Abstract

fetched live from OpenAlex

BACKGROUND: Few studies have prospectively examined how changes in physical activity in the first year after a breast cancer diagnosis may affect patient-reported outcomes (PROs) including quality of life and fatigue. PURPOSE: The purpose of this study was to examine changes in device-measured physical activity and associations with changes in quality of life [physical composite summary score (PCS) and mental composite summary score (MCS)] and fatigue from the first year after diagnosis among newly diagnosed women with breast cancer in the Alberta Moving Beyond Breast Cancer Study. METHODS: In this prospective cohort study, we assessed women within a median of 60 days postsurgery (N = 1442) and again 1 year later (N = 1194). At both timepoints, participants wore an ActiGraph accelerometer for 7 days to measure light and moderate-to-vigorous physical activity (MVPA) and an activPAL accelerometer for daily steps. We used analysis of covariance to compare PRO change scores (dependent variables: PCS and MCS, and fatigue) across activity change quartiles (Q). RESULTS: Participants were categorized into Q1 (decreased activity: mean changes = -37.2 minutes/day), Q2 (stable activity: mean change = -4.8 minutes/day), Q3 (modest increase in activity: mean change = 13.2 minutes/day), and Q4 (large increase in activity: mean change = +49.8 minutes/day). For MVPA, participants in Q4 had significantly larger improvements in PCS and MCS compared with those in the lowest quartiles (PCS: Q1 Δ = 1.5 points, P = .026; Q2 Δ = 1.6 points, P = .017; MCS: Q1 Δ = 2.2 points, P = .007). Significant differences also emerged for fatigue as participants in Q4 of MVPA reported improvements in fatigue compared to those in Q1 (Δ = 1.9 points, P = .017) and Q2 (Δ = 1.9 points, P = .016). Improvements in PCS, MCS, and fatigue were observed when comparing the highest quartile of change (Q4) in light intensity activity, daily steps, and MVPA in ≥10-minute bouts to those in Q1 and Q2. CONCLUSIONS: Women with breast cancer who increased physical activity from diagnosis to 1 year had significantly better improvements in PCS, MCS, and fatigue compared with those who decreased or maintained their physical activity.

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 score0.040
Threshold uncertainty score0.960

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 head0.062
GPT teacher head0.381
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 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

Citations0
Published2025
Admission routes3
Has abstractyes

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