van Deuren S, et al. Prevalence and risk factors of cancer-related fatigue in childhood cancer survivors: a DCCSS LATER study. Cancer. 2022;128(5):1110–21.

Article  PubMed  Google Scholar 

Penson A, et al. The impact of cancer-related fatigue on HRQOL in survivors of childhood cancer: a DCCSS LATER study. Cancers (Basel). 2022;14(12):2851. https://doi.org/10.3390/cancers14122851.

Article  PubMed  Google Scholar 

van Deuren S, et al. Severe fatigue after treatment for childhood cancer. Cochrane Database Syst Rev. 2020;3(3):Cd012681.

PubMed  Google Scholar 

Levesque A, et al. Cancer-related fatigue in childhood cancer survivors: a systematic scoping review on contributors of fatigue and how they are targeted by non-pharmacological interventions. Crit Rev Oncol Hematol. 2022;179:103804.

Article  PubMed  Google Scholar 

Christen S, et al. Recommendations for the surveillance of cancer-related fatigue in childhood, adolescent, and young adult cancer survivors: a report from the International Late Effects of Childhood Cancer Guideline Harmonization Group. J Cancer Surviv. 2020;14(6):923–38.

Article  PubMed  PubMed Central  Google Scholar 

Penson A, et al. Chronic fatigue in childhood cancer survivors is associated with lifestyle and psychosocial factors; a DCCSS LATER study. ESMO Open. 2023;8(6):102044.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Glymour C, Zhang K, Spirtes P. Review of causal discovery methods based on graphical models. Front Genet. 2019;10:524. https://doi.org/10.3389/fgene.2019.00524.

Article  PubMed  PubMed Central  Google Scholar 

Pearl J. Causality. 2 ed. Cambridge: Cambridge University Press; 2009. https://doi.org/10.1017/CBO9780511803161.

Mooij JM, Magliacane S, Claassen T. Joint causal inference from multiple contexts. J Mach Learn Res. 2020;21(1):99.

Google Scholar 

Ullman J. Structural equation modeling: reviewing the basics and moving forward. J Pers Assess. 2006;87:35–50.

Article  PubMed  Google Scholar 

Rahmadi R, et al. Causality on cross-sectional data: stable specification search in constrained structural equation modeling. Appl Soft Comput. 2017;52:687–98.

Article  Google Scholar 

Beran TN, Violato C. Structural equation modeling in medical research: a primer. BMC Res Notes. 2010;3(1):267.

Article  PubMed  PubMed Central  Google Scholar 

Claassen, T. and T. Heskes, A Bayesian approach to constraint based causal inference, in Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence. 2012, AUAI Press: Catalina Island, CA. p. 207–216. https://doi.org/10.48550/arXiv.1210.4866.

Feijen EAM, et al. Clinical evaluation of late outcomes in Dutch childhood cancer survivors: methodology of the DCCSS LATER 2 study. Pediatr Blood Cancer. 2023;70(5):e30212.

Article  PubMed  Google Scholar 

Teepen JC, et al. Long-term risk of subsequent malignant neoplasms after treatment of childhood cancer in the DCOG LATER study cohort: role of chemotherapy. J Clin Oncol. 2017;35(20):2288–98.

Article  CAS  PubMed  Google Scholar 

Vercoulen JH, et al. Dimensional assessment of chronic fatigue syndrome. J Psychosom Res. 1994;38(5):383–92.

Article  CAS  PubMed  Google Scholar 

Penson A, et al. Assessing fatigue in childhood cancer survivors: psychometric properties of the Checklist Individual Strength and the Short Fatigue Questionnaire–a DCCSS LATER study. Cancer Med. 2022;11(4):1172–80. https://doi.org/10.1002/cam4.4490.

Article  PubMed  Google Scholar 

Worm-Smeitink M, et al. The assessment of fatigue: psychometric qualities and norms for the Checklist individual strength. J Psychosom Res. 2017;98:40–6.

Article  CAS  PubMed  Google Scholar 

Wareham NJ, et al. Validity and repeatability of a simple index derived from the short physical activity questionnaire used in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Public Health Nutr. 2003;6(4):407–13.

Article  PubMed  Google Scholar 

Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67(6):361–70.

Article  CAS  PubMed  Google Scholar 

Bjelland I, et al. The validity of the Hospital Anxiety and Depression Scale. An updated literature review. J Psychosom Res. 2002;52(2):69–77.

Article  PubMed  Google Scholar 

Rosenberg M. The measurement of self-esteem, society and the adolescent self-image. Princeton; 1965. p. 16-36.

Sinclair SJ, et al. Psychometric properties of the Rosenberg Self-Esteem Scale: overall and across demographic groups living within the United States. Eval Health Prof. 2010;33(1):56–80.

Article  PubMed  Google Scholar 

Evers AW, et al. Beyond unfavorable thinking: the illness cognition questionnaire for chronic diseases. J Consult Clin Psychol. 2001;69(6):1026.

Article  CAS  PubMed  Google Scholar 

Lauwerier E, et al. The construct validity of the illness cognition questionnaire: the robustness of the three-factor structure across patients with chronic pain and chronic fatigue. Int J Behav Med. 2010;17(2):90–6.

Article  PubMed  Google Scholar 

Bruil, J., Fekkes, M., Vogel, T., Verrips, GHW. TAAQOL manual. 2004; Available from: https://www.tno.nl/media/4727/vragenlijsten_01032012.pdf. Accessed Apr 2024.

Buysse DJ, et al. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213.

Article  CAS  PubMed  Google Scholar 

Beck SL, et al. Psychometric evaluation of the Pittsburgh Sleep Quality Index in cancer patients. J Pain Symptom Manage. 2004;27(2):140–8.

Article  PubMed  Google Scholar 

Teepen JC, et al. Questionnaire- and linkage-based outcomes in Dutch childhood cancer survivors: methodology of the DCCSS LATER study part 1. Cancer Med. 2023;12(6):7588–602.

Article  PubMed  Google Scholar 

Penson A, et al. Methodology of the DCCSS later fatigue study: a model to investigate chronic fatigue in long-term survivors of childhood cancer. BMC Med Res Methodol. 2021;21(1):106.

Article  PubMed  PubMed Central  Google Scholar 

Nijrolder I, Leone SS, van der Horst HE. Explaining fatigue: an examination of patient causal attributions and their (in)congruence with family doctors’ initial causal attributions. Eur J Gen Pract. 2015;21(3):164–9.

Article  PubMed  Google Scholar 

Bower JE, et al. Fatigue in long-term breast carcinoma survivors: a longitudinal investigation. Cancer. 2006;106(4):751–8.

Article  PubMed  Google Scholar 

Reinertsen KV, et al. Predictors and course of chronic fatigue in long-term breast cancer survivors. J Cancer Surviv. 2010;4(4):405–14.

Article  PubMed  PubMed Central  Google Scholar 

Servaes P, et al. The course of severe fatigue in disease-free breast cancer patients: a longitudinal study. Psychooncology. 2007;16(9):787–95.

Article  CAS  PubMed  Google Scholar 

Bland JM, Altman DG. Statistics notes: bootstrap resampling methods. BMJ : British Medical Journal. 2015;350:h2622.

Article  PubMed  Google Scholar 

Raftery AE. Bayesian model selection in structural equation models. Sage Focus Editions. 1993;154:163–163.

Google Scholar 

Schermelleh-Engel K, Moosbrugger H, Müller H. Evaluating the fit of structural equation models: tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research. 2003;8(2):23–74.

Google Scholar 

R Core Team (2018) R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. https://www.R-project.org.

Donders AR, et al. Review: a gentle introduction to imputation of missing values. J Clin Epidemiol. 2006;59(10):1087–91.

Article  PubMed  Google Scholar 

Rubin DB. Multiple imputation for nonresponse in surveys. Vol. 81. Hoboken: John Wiley & Sons; 2004.

Marshall A, et al. Combining estimates of interest in prognostic modelling studies after multiple imputation: current practice and guidelines. BMC Med Res Methodol. 2009;9(1):57.