Evidence map›Paper›PMID 35318570›Full record

ArticleJournal of cancer survivorship : research and practice2023

The association of circadian parameters and the clustering of fatigue, depression, and sleep problems in breast cancer survivors: a latent class analysis.

Belle H de Rooij, Imogen Ramsey, Felix J Clouth, Nadia Corsini, Jane S Heyworth, Brigid M Lynch, Jeff K Vallance, Terry Boyle

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cancer survivorship : research and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Returning to Work after Breast Cancer: A One-Year Mixed-Methods Study.International journal of environmental research and public health · 2024
    Article
  5. Article
  6. Article
  7. Review
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

8 authors at 5 institutions in 3 countries.

Belle H de RooijNetherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands. b.derooij@iknl.nl.
Imogen RamseyRosemary Bryant AO Research Centre, UniSA Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, Australia.ORCID 0000-0002-8757-1572
Felix J ClouthNetherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands.
Nadia CorsiniRosemary Bryant AO Research Centre, UniSA Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, Australia.
Jane S HeyworthSchool of Population and Global Health, The University of Western Australia, Perth, WA, Australia.
Brigid M LynchCancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.
Jeff K VallanceFaculty of Health Disciplines, Athabasca University, Athabasca, Canada.
Terry BoyleAustralian Centre for Precision Health, Allied Health and Human Performance, University of South Australia Cancer Research Institute, Adelaide, South Australia, Australia.
University of South Australia · AUTilburg University · NLAthabasca University · CAThe University of Melbourne · AUThe University of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCircadian rhythms control a wide range of physiological processes and may be associated with fatigue, depression, and sleep problems. We aimed to identify subgroups of breast cancer survivors based on symptoms of fatigue, insomnia, and depression; and assess whether circadian parameters (i.e., chronotype, amplitude, and stability) were associated with these subgroups over time.

methodsAmong breast cancer survivors, usual circadian parameters were assessed at 3-4 months after diagnosis (T0), and symptoms of fatigue, depression, and insomnia were assessed after 2-3 years (T1, N = 265) and 6-8 years (T2, N = 169). We applied latent class analysis to classify survivors in unobserved groups ("classes") based on symptoms at T1. The impact of each of the circadian parameters on class allocation was assessed using multinomial logistic regression analysis, and changes in class allocation from T1 to T2 using latent transition models.

resultsWe identified 3 latent classes of symptom burden: low (38%), moderate (41%), and high (21%). Survivors with a late chronotype ("evening types") or low circadian amplitude ("languid types") were more likely to have moderate or high symptom burden compared to "morning types" and "vigorous types," respectively. The majority of survivors with moderate (59%) or high (64%) symptom burden at T1 had persistent symptom burden at T2. IMPLICATIONS FOR CANCER SURVIVORS: A late chronotype and lower circadian amplitude after breast cancer diagnosis were associated with greater symptoms of fatigue, depression, and insomnia at follow-up. These circadian parameters may potentially be novel targets in interventions aimed at alleviating symptom burden among breast cancer survivors.

Indexed as

Breast NeoplasmsCancer SurvivorsSleep Initiation and Maintenance DisordersCircadian RhythmDepressionFatigueFemaleHumansLatent Class AnalysisSurvivorsBreast cancerCircadian rhythmDepressionFatigueInsomnia

Identifiers

PMID35318570
PMCPMC10442261
OpenAlexW4220703413

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.