Evidence map›Paper›PMID 37172763›Full record

ArticleJournal of sport and health science2023

Associations of self-reported and device-assessed physical activity with fatigue, quality of life, and sleep quality in adults living with and beyond cancer.

Phillippa Lally, Natalie Ella Miller, Claire Lawrence, Rebecca J Beeken, Abigail Fisher

Abstract read
In one paragraph

Article in Journal of sport and health science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. The effectiveness of nursing interventions on fatigue and sleep quality in hospitalized cancer patients: the role of foot massage and bed bath.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Trial
  2. Trial
  3. Article
  4. Article
  5. Step count and symptom severity during cancer treatment using the Symptom Care at Home digital platform.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Phillippa LallyDepartment of Behavioural Science and Health, University College London, London WC1E 6BT, UK; Department of Psychology, University of Surrey, Guildford GU2 7XH, UK.
Natalie Ella MillerDepartment of Behavioural Science and Health, University College London, London WC1E 6BT, UK.
Claire LawrenceDepartment of Behavioural Science and Health, University College London, London WC1E 6BT, UK.
Rebecca J BeekenDepartment of Behavioural Science and Health, University College London, London WC1E 6BT, UK; Leeds Institute of Health Sciences, Leeds LS2 9NL, UK.
Abigail FisherDepartment of Behavioural Science and Health, University College London, London WC1E 6BT, UK. Electronic address: abigail.fisher@ucl.ac.uk.

Funding

Cancer Research UK 14133Cancer Research UK 27498
6 · The paper itself

Abstract

backgroundGreater physical activity is associated with improved outcomes in people living with and beyond cancer. However, most studies in exercise oncology use self-reported measures of physical activity. Few have explored agreement between self-reported and device-based measures of physical activity in people living with and beyond cancer. This study aimed to describe physical activity in adults affected by cancer across self-reported and device-assessed activity, to explore levels of agreement between these measures in terms of their utility for categorizing participants as meeting/not meeting physical activity guidelines, and to explore whether meeting guidelines is associated with fatigue, quality of life, and sleep quality.

methodsA total of 1348 adults living with and beyond cancer from the Advancing Survivorship Cancer Outcomes Trial completed a survey assessing fatigue, quality of life, sleep quality, and physical activity. The Godin-Shephard Leisure-Time Physical Activity Questionnaire was used to calculate a Leisure Score Index (LSI) and an estimate of moderate-to-vigorous physical activity (MVPA). Average daily steps and weekly aerobic steps were derived from pedometers worn by participants.

resultsThe percentage of individuals meeting physical activity guidelines was 44.3% using LSI, 49.5% using MVPA, 10.8% using average daily steps, and 28.5% using weekly aerobic steps. Agreement (Cohen's κ) between self-reported and pedometer measures ranged from 0.13 (LSI vs. average daily steps) to 0.60 (LSI vs. MVPA). After adjusting for sociodemographic and health-related covariates, meeting activity guidelines using all measures was associated with not experiencing severe fatigue (odds ratios (ORs): 1.43-1.97). Meeting guidelines using MVPA was associated with no quality-of-life issues (OR = 1.53). Meeting guidelines using both self-reported measures were associated with good sleep quality (ORs: 1.33-1.40).

conclusionLess than half of all adults affected by cancer are meeting physical activity guidelines, regardless of measure. Meeting guidelines is associated with lower fatigue across all measures. Associations with quality of life and sleep differ depending on measure. Future research should consider the impact of physical activity measure on findings, and where possible, use multiple measures.

Indexed as

NeoplasmsQuality of LifeAdultExerciseFatigueHumansSelf ReportSleep QualityCancer survivorshipFatiguePhysical activityQuality of lifeSleep

Identifiers

PMID37172763
PMCPMC10658319

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.