Copyright
©The Author(s) 2019.
World J Gastroenterol. Feb 7, 2019; 25(5): 632-643
Published online Feb 7, 2019. doi: 10.3748/wjg.v25.i5.632
Published online Feb 7, 2019. doi: 10.3748/wjg.v25.i5.632
Table 1 General characteristics of the included studies
First author (year of publication) | Study objectives | Age (yr) | Patient population | Percentage of patients with active disease | Main findings related to fatigue |
Marcus et al (2009)[6] | To evaluate the degree of fatigue and health-related quality-of-life in children with IBD | 10-17 | 52 CD; 13 UC; 5 IBD-U; 157 healthy controls | Remission 56%; Mild 22%; Moderate 17%; Severe 5% | Adolescents with IBD have significantly more fatigue than healthy controls; PedsQL total fatigue, general fatigue, and sleep/rest fatigue were all impaired in patients with IBD; Adolescents with IBD are fatigued even when clinical remission is reached |
Nicholas et al (2007)[13] | To understand the lived experience and elements of quality-of-life in adolescents and adolescents with IBD | 7-19 | 61 CD; 19 UC | Not reported | Young patients with IBD commonly feel “sick and tired” and have “no energy” |
Pirinen et al (2010)[16] | To evaluate the effect of disease severity on (the frequency of) sleep problems and daytime-tiredness among adolescents with IBD | 10-18 | 53 CD; 83 UC; 24 IBDU; 236 healthy controls | Not reported | Adolescents with IBD do not report more sleeping problems or overtiredness than their healthy peers Adolescents with active disease have significantly more trouble sleeping, more daytime sleepiness and are overtired compared to adolescents with mild IBD symptoms; Adolescents with severe IBD symptoms have worse quality of sleep and more sleep disturbances than those with less severe IBD |
Werkstetteret al (2012)[8] | To evaluate whether physical activity is reduced in patients with IBD compared to control subjects | 6-20 | 27 CD; 12 UC; 39 healthy controls | Remission 66%; Mild 34% | Patients with IBD show a trend toward less physical activity, especially among girls and those with mild disease activity; There is no relation between inflammatory markers (CRP) and physical activity |
Rogler et al (2013)[7] | To examine the determinants of health- related quality-of-life in adolescents and adolescents with IBD | 11-15 | 64 CD; 46 UC | PCDAI > 15 36%; PUCAI ≥ 10 28% | Patients with IBD (in particular boys) have moderate impairments in physical well-being; Impairment in physical well-being is associated with active inflammation; And its symptoms |
Loonen et al (2002)[12] | To evaluate the impact of IBD on health- related quality of life | 8-18 | 41 CD; 40 UC; 2 IBD-U | Mild 60%; Moderate 23%; Severe 15%; Missing 2% | Adolescents with IBD have impairments in motor functioning (running, walking, playing) and complain more of tiredness, especially those with Crohn’s disease. |
Tojek et al (2002)[14] | To examine family dysfunction, maternal physical symptoms and maternal positive affect as correlates of health status in adolescents with IBD | 11-18 | 36 CD; 26 UC | Not reported | Family dysfunction is related to an increased frequency of fatigue in adolescents; Maternal positive affect is inversely related to fatigue (not significant); Fatigue is independent of maternal negative affect |
Ondersma et al (1996)[15] | To examine how psychological factors relate to disease severity among adolescents with IBD | 11-17 | 34 CD; 22 UC | Not reported | There is a relationship between negative affect and physical symptoms of fatigue |
Table 2 Methodology and quality assessment
First author (year of publication) and study type | Patient selection | Disease activity score | Fatigue score | Study quality |
Marcus et al (2009)[6] Case-control study | Patients: recruited during scheduled clinical appointments at University Hospital, United States; Healthy controls: adolescent children of hospital employees | CD: PCDAI; CU and IBDU: PGA | PedsQL Multidimensional Fatigue Scale, IMPACT-III, PedsQL 4.0 Generic Core Scales Children’s Depression Inventory: Short Form | Good: no sample size justification |
Nicholas et al (2007)[13] Cross-sectional study | Patients: recruited from the database of Reference Children’s Hospital, Canada | No distinction made | Semi structured interview designed by author | Poor: Patients purposively selected, questionnaires not validated, participation rate not reported |
Pirinen et al (2010)[16] Case-control study | Patients: recruited from the database of the Population Register Center, Finland; Healthy controls: matched | VAS disease severity | Youth self-reported questionnaire, Sleep Self Report, child behavior checklist | Medium: Subjective score to assess disease severity, exact sleep duration unknown |
Werkstetter et al (2012)[8] Case-control study | Patients: recruited from University Hospital, Germany; Healthy controls: matched | CD: PCDAI; UC: PUCAI | SenseWear Pro2 accelerometer, German KINDL, IMPACT III | Good: no sample size justification |
Rogler et al (2013)[7] Cross-sectional study | Patients: recruited from Swiss IBD cohort study, Switzerland | CD: PCDAI; UC: PUCAI | KIDSCREEN-27 | Medium: numbers in text and table do not match |
Loonen et al (2002)[12] Cross-sectional study | Patients: recruited from a database of two large tertiary referral centers, Netherlands | 5-item symptom card (completed by patients) | TACQOL, IMPACT-II | Good: validated questionnaires, the results compared with healthy controls |
Tojek et al (2002)[14] Cross-sectional study | Patients: recruited from routine outpatient visit in 2 urban pediatric gastroenterology hospitals, United States | No distinction made | Questions designed by author | Medium: parental factors can influence adolescent’s health, the converse remains possible, only mothers investigated, questionnaires not validated |
Ondersma et al (1996)[15] Cross-sectional study | Patients: recruited from 2 pediatric gastroenterology hospitals, United States | No distinction made | 10-item Subjective Illness Questionnaire (parts or RCMAS and CDI) | Medium: no sample size justification, parts of validated questionnaires |
Table 3 Description of fatigue-related diagnostic tests
Abbreviation | Full name | Details |
CBCL | Child Behavior Checklist | Caregiver report form that categorizes problem behaviors in preschool and school-aged children in the following 8 syndromes: aggressive, anxious-depressed, attention, rule-breaking, somatic complaints, social, thought, withdrawn-depressed. |
CDI | Children’s Depression Inventory | Adolescent self-reported assessment. For each of 26 items, respondents endorsed one of three sentences indicating varying levels of depression. |
IMPACT-III | Not applicable | IBD disease-specific health-related quality-of-life questionnaire for pediatric patients. It is composed of 35 items in the following 6 domains: IBD-related symptoms (7 items), systemic symptoms (3), emotional functioning (7), social functioning (12), body image (3) and treatment/intervention-related concerns (3). Each item is scored on a 5-point Likert scale, coded from 0 to 4 points. Higher scores indicate better quality of life. |
KIDSCREEN 27 | Not applicable | Self-reported survey is a quality of life questionnaire consisting of 27 items measuring physical well-being, psychological well-being, autonomy and parent relations, peers and social support, and school environment. |
KINDL | Not applicable | Adolescent self-reported survey consists of 24 Likert-scaled items, which are subdivided into the following six dimensions (subscales) of quality of life: physical well-being, emotional well- being; self-worth, well-being in the family, well-being regarding friendships and well-being at school. |
McMaster Family Assessment Device | Not applicable | Adolescent self-reported 60-item instrument that assesses six domains, namely, problem solving, communication, roles, affective responsiveness, affective involvement, behavior control and general functioning of family functioning as well as general family dysfunction. |
PedsQL generic scale | Pediatric Quality of Life Inventory | Parent reported and self-reported assessment. A modular approach to measuring health-related quality of life (HRQOL) in healthy children and adolescents and those with acute and chronic health conditions. It contains the following four multidimensional scales: physical functioning, emotional functioning, social functioning, school functioning. |
PedsQL Multidimensional Fatigue Scale | Pediatric Quality of Life Inventory Multidimensional Fatigue Scale | Age-appropriate versions and parallel forms for children and parents. It measures the perceptions of fatigue by children and their parents and has been validated in a variety of pediatric chronic diseases. |
RCMAS | Revised Children’s Manifest Anxiety scale | Adolescent self-reported assessment that is a true/false anxiety measure containing 28 items. The measured key areas are physiological anxiety, worry, social anxiety and defensiveness. The scale differentiates between anxiety-disordered and normal Children. |
SSR | Sleep Self Report | Adolescent self-reported assessment to discern sleep patterns and possible difficulties with sleep. |
TACQOL | TNO-AZL Children’s Quality of life Questionnaire | Generic health-related quality of life questionnaire enabling comparisons between groups of children with varying chronic diseases. It includes 7 scales, involving general physical function, motor function, daily function, cognitive function, social contact, and positive and negative moods. |
YSR | Youth Self Report | Adolescent self-reported assessment with the following eight empirically-based syndrome scales: anxious/depressed, withdrawn/depressed and somatic complaints composing the internalizing (i.e., emotional) broad-band scale; rule-breaking behavior and aggressive behavior composing the externalizing (i.e., behavioral) broad-band scale; and these two scales, together with the syndrome scales of social, thought and attention problems, compose the total problems scale. |
- Citation: Van de Vijver E, Van Gils A, Beckers L, Van Driessche Y, Moes ND, van Rheenen PF. Fatigue in children and adolescents with inflammatory bowel disease. World J Gastroenterol 2019; 25(5): 632-643
- URL: https://www.wjgnet.com/1007-9327/full/v25/i5/632.htm
- DOI: https://dx.doi.org/10.3748/wjg.v25.i5.632