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Different subtypes of chronic fatigue in childhood cancer survivors: A DCCSS LATER study

  • Adriaan Penson*
  • , Iris Walraven
  • , Ewald Bronkhorst
  • , Martha A. Grootenhuis
  • , Heleen Maurice-Stam
  • , Margriet van der Heiden van der Loo
  • , Wim J.E. Tissing
  • , Helena J.H. van der Pal
  • , Andrica C.H. de Vries
  • , Dorine Bresters
  • , Cécile M. Ronckers
  • , Marry M. van den Heuvel-Eibrink
  • , Sebastian Neggers
  • , Birgitta A.B. Versluys
  • , Marloes Louwerens
  • , Saskia M.F. Pluijm
  • , Nicole Blijlevens
  • , Eline van Dulmen-den Broeder
  • , Leontien C.M. Kremer
  • , Hans Knoop
  • Jacqueline Loonen
*Corresponding author for this work
  • Radboud University Medical Center
  • Princess Máxima Center for Pediatric Oncology
  • University of Groningen
  • Johannes Gutenberg University Mainz
  • Leiden University
  • Amsterdam UMC
  • University of Amsterdam
  • Amsterdam Public Health Research Institute

Research output: Contribution to journal › Article › Academic › peer-review

1 Citation (Scopus)
60 Downloads (Pure)

Abstract

Introduction: The aim of the current study was to investigate whether subtypes of chronic fatigue (CF) can be identified in childhood cancer survivors (CCS), and if so, to determine the characteristics of participants with a specific subtype. Methods: Participants were included from the nationwide DCCSS LATER cohort. The Checklist Individual Strength (CIS) was completed to assess fatigue. Participants with CF (scored ≥35 on the fatigue severity subscale and indicated to suffer from fatigue for ≥6 months) were divided into subgroups using two-step cluster analysis based on the CIS concentration, motivation, and physical activity subscales. Differences between groups on demographics, psychosocial, lifestyle, and treatment-related variables were determined using ANOVA and chi-square analyses (univariable) and multinomial regression analysis (multivariable). Results: A total of 1910 participants participated in the current study (n = 450 with CF; n = 1460 without CF). Three CF subgroups were identified: Subgroup 1 (n = 133, 29% of participants) had CF with problems in physical activity; Subgroup 2 (n = 111, 25% of participants) had CF with difficulty concentrating; and Subgroup 3 (n = 206, 46% of participants) had multi-dimensional CF. Compared to Subgroup 1, Subgroup 2 more often reported sleep problems, limitations in social functioning, and less often have more than two comorbidities. Subgroup 3 more often reported depression, sleep problems, a lower self-esteem, and limitations in social functioning and a lower educational level compared to Subgroup 1. Conclusion: Different subgroups of CCS with CF can be identified based on fatigue dimensions physical activity, motivation and concentration. Results suggest that different intervention strategies, tailored for each subgroup, might be beneficial.

Original languageEnglish
Article numbere30951
JournalPediatric Blood and Cancer
Volume71
Issue number6
DOIs
Publication statusPublished - Jun 2024

Bibliographical note

Publisher Copyright:
© 2024 The Authors. Pediatric Blood & Cancer published by Wiley Periodicals LLC.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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