ArticleBMJ paediatrics open2021
Fatigue among children with a chronic disease: a cross-sectional study.
Article in BMJ paediatrics open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Reducing fatigue in pediatric rheumatic conditions: a systematic review.Pediatric rheumatology online journal · 2021Pooled it
- The Effect of Internet-Based Cognitive Behavioral Therapy (I-CBT) for Severe Fatigue in Adolescents with Immune Dysregulation Disorders: Preliminary Findings using a Multiple Single-Case Experimental Design.Journal of clinical psychology in medical settings · 2026Trial
- Pain Predicts Next-Day Fatigue in Adolescents and Young Adults Receiving Maintenance Treatment for Acute Lymphoblastic Leukemia.Journal of adolescent and young adult oncology · 2026Article
- Fatigue after pediatric bone sarcoma: prevalence and associated factors in pediatric and adult patients and survivors after treatment.Journal of cancer survivorship : research and practice · 2026Article
- Quality of life outcome study of children that had undergone surgery for oesophageal atresia with or without a tracheo-oesophageal fistula.European journal of pediatrics · 2026Article
- Fatigue in pediatric inflammatory bowel disease: Explained by transdiagnostic and disease-focused factors.Journal of pediatric gastroenterology and nutrition · 2026Article
- Transition readiness among Chinese adolescents with chronic diseases: the promoting role of self-efficacy and willingness to engage in healthcare.BMC health services research · 2025Article
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- Empowering families: the role of family-centered programs in alleviating fatigue for chronically ill children and their parents.BMC pediatrics · 2025Article
- Like walking through treacle: the experience of fatigue for young people with interstitial lung disease.Orphanet journal of rare diseases · 2025Article
- Experience sampling methodology in pediatrics: a qualitative analysis of user perspectives on the PROfeel blended mHealth intervention for fatigue.Frontiers in digital health · 2025Article
- A cross-sectional analysis of air pollution in primary schools and children fatigue.Frontiers in public health · 2025Article
- Chronic fatigue in childhood cancer survivors is associated with lifestyle and psychosocial factors; a DCCSS LATER study.ESMO open · 2023Article
- Exploring listening-related fatigue in children with and without hearing loss using self-report and parent-proxy measures.Frontiers in pediatrics · 2023Article
- A 12-week lifestyle intervention: effects on fatigue, fear, and nutritional status in children with a Fontan circulation.Frontiers in pediatrics · 2023Article
- Possible Targets to Reduce Fatigue in Chronic Immune Thrombocytopenia Patients - An Explorative Study.TH open : companion journal to thrombosis and haemostasis · 2022Article
- Responsiveness of the Italian version of the Pediatric Quality of Life Multidimensional Fatigue Scale in adult inpatients with obesity.Scientific reports · 2022Article
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- Article
- Methodology of the DCCSS later fatigue study: a model to investigate chronic fatigue in long-term survivors of childhood cancer.BMC medical research methodology · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To determine: (1) which biological/lifestyle, psychological and/or social factors are associated with fatigue among children with a chronic disease and (2) how much each of these factors contributes to explaining variance in fatigue. Design and setting: This was a cross-sectional study across two children's hospitals. Patients: We included children aged 8-18 years who visited the outpatient clinic with cystic fibrosis, an autoimmune disease or postcancer treatment. Main outcome measures: Fatigue was assessed using the PedsQL Multidimensional Fatigue Scale. Generic biological/lifestyle, psychological and social factors were assessed using clinical assessment tools and questionnaires. Multiple linear regression analyses were used to test the associations between these factors and fatigue. Finally, a multivariable regression model was used to determine which factor(s) have the strongest effect on fatigue. Results: A total of 434 out of 902 children were included (48% participation rate), with a median age of 14.5 years; 42% were male. Among these 434 children, 21.8% were severely fatigued. Together, all biopsychosocial factors explained 74.6% of the variance in fatigue. More fatigue was uniquely associated with poorer physical functioning, more depressive symptoms, more pressure at school, poorer social functioning and older age. Conclusions: Fatigue among children with a chronic disease is multidimensional. Multiple generic biological/lifestyle, psychological and social factors were strongly associated with fatigue, explaining 58.4%; 65.8% and 50.0% of the variance in fatigue, respectively. Altogether, almost three-quarters of the variance in fatigue was explained by this biopsychosocial model. Thus, when assessing and treating fatigue, a transdiagnostic approach is preferred, taking into account biological, psychological and social factors.
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