Evidence map›Paper›PMID 36823494›Full record

ArticleJournal of cancer survivorship : research and practice2024

Prevalence and predictors of sleep problems in women following a cancer diagnosis: results from the women's wellness after cancer program.

Shannon L Edmed, M Mamun Huda, Simon S Smith, Charrlotte Seib, Janine Porter-Steele, Debra Anderson, Alexandra L McCarthy

Open access · hybridAbstract read
In one paragraph

Article in Journal of cancer survivorship : research and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Effects of anti-inflammatory dietary education on sleep disturbances among patients with breast cancer undergoing chemotherapy: A randomized controlled trial.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Trial
  3. Trial
  4. Smart Home Technologies for Monitoring Cancer Symptoms and Enhancing Palliative Care.Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science · 2025
    Article
  5. Exploring the influence and identifying key predictors of sleep difficulties on health status in long-term breast cancer survivors: a cross-sectional study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    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

7 authors at 6 institutions in 1 country.

Shannon L EdmedInstitute for Social Science Research, The University of Queensland, 80 Meiers Rd, Indooroopilly QLD, Brisbane, 4068, Australia. s.edmed@uq.edu.au.
M Mamun HudaInstitute for Social Science Research, The University of Queensland, 80 Meiers Rd, Indooroopilly QLD, Brisbane, 4068, Australia.
Simon S SmithInstitute for Social Science Research, The University of Queensland, 80 Meiers Rd, Indooroopilly QLD, Brisbane, 4068, Australia.
Charrlotte SeibSchool of Nursing and Midwifery, Griffith University, Southport Queensland, 4215, Australia.
Janine Porter-SteeleSchool of Nursing, Midwifery and Social Work, The University of Queensland, Brisbane, Australia.
Debra AndersonFaculty of Health, University of Technology Sydney, Sydney, NSW, Australia.
Alexandra L McCarthySchool of Nursing, Midwifery and Social Work, The University of Queensland, Brisbane, Australia.
University of Queensland · AUARC Centre of Excellence for Children and Families over the Life Course · AUARC Centre of Excellence for the Digital Child · AUGriffith University · AUMater Research · AUUniversity of Technology Sydney · AU

Funding

ARC Centre of Excellence for Children and Families over the Life Course CE200100025Metro North Hospital and Health Service Diamond Grant SchemeMetro South Health Study, Education and Research Trust Account (SERTA) Grant SchemeNational Health and Medical Research Council Partnership Grant
6 · The paper itself

Abstract

purposeUsing a discrete dataset from the Women's Wellness after Cancer Program (WWACP), we examine the prevalence and predictors of self-reported sleep problems in women previously treated for cancer.

methodsParticipants were 351 women (M

resultsMost women (59%) reported clinically significant sleep disturbance (PSQI > 5), 40% reported insufficient sleep duration (< 7 h), 38% self-reported poor sleep quality and 28% reported poor habitual sleep efficiency (sleep efficiency < 75%). Fewer psychological and vasomotor climacteric symptoms, age < 45 years and having a partner were associated with reduced odds (AOR < 1) of sleep problems. Higher levels of pain-related disability, and an intermediate compared to 'high' level of education, were associated with increased odds (AOR > 1) of sleep problems.

conclusionsThese findings confirm previous studies that have found a high prevalence of sleep problems in women previously treated for cancer. A range of sociodemographic, climacteric and pain-related factors were associated with sleep problems in this study. IMPLICATIONS FOR CANCER SURVIVORS: Targeted interventions to improve sleep quality after cancer treatment should be explored in this population. Predictors identified in this study could inform intervention targeting and development.

Indexed as

NeoplasmsSleep Wake DisordersAdultAgedCancer SurvivorsFemaleHumansMiddle AgedPrevalenceQuality of LifeSelf ReportSleep QualityWomen's HealthCancerSleepSleep disturbanceWomen’s cancerWomen’s health

Identifiers

PMID36823494
PMCPMC11082004
OpenAlexW4321605349

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.