Javascript must be enabled for the correct page display
Faculty of Medical Sciences

A multidimensional approach of fatigue in children with JIA

Siers, N. (Nicole) (2015) A multidimensional approach of fatigue in children with JIA. thesis, Human Movement Sciences.

Full text available on request.

Abstract

Background: Fatigue is frequently reported in children with Juvenile Idiopathic Arthritis (JIA). However, comparison of fatigue levels in JIA with a healthy control group is scarce. Fatigue has shown to be a multidimensional construct, however, the domains that are affected most in JIA, resulting in fatigue, are currently unknown. Objectives: 1) To identify to what extent children with JIA experience fatigue, based on total fatigue, general fatigue, sleep/rest fatigue and cognitive fatigue scores on the PedsQL MFS, each compared to normative data, 2) To identify the relationships between total fatigue levels with general, sleep/rest and cognitive fatigue levels, 3) To identify the variables that contribute to the experience of total fatigue, general fatigue, sleep/rest fatigue and cognitive fatigue measured with the PedsQL MFS. Methods: Data of 80 children aged 8-12 years classified with any form of JIA were analyzed. Fatigue levels (total fatigue, general fatigue, sleep/rest fatigue and cognitive fatigue) were assessed using the PedsQL multidimensional fatigue scale (MFS). Patient characteristics and data of different questionnaires were selected for analysis. Normative data was adopted from the study of Gordijn et al. (2011). Independent samples t-tests were conducted to define group differences. Multiple regression analysis was performed to identify predictors of total, general, sleep/rest and cognitive fatigue. Results: As a group, children with JIA showed no significant elevated fatigue levels compared to the healthy population. On the individual level, patients with a similar total fatigue level, show wide variability in general, sleep/rest and cognitive fatigue. Energy levels (VAS energy), functional ability (CHAQ-38), and JIA subtype predicted total fatigue scores, general fatigue scores and cognitive fatigue scores. Sleep/rest fatigue was predicted by energy levels. However, 49-93% of the different domains of fatigue remain unexplained. Conclusion: As a group, the children with JIA showed no significant elevated fatigue levels on all domains of fatigue. However, on the individual level, wide variability in scores on total, general, sleep/rest and cognitive domain of fatigue is shown. JIA subtype, energy levels and functional ability predict total, general and cognitive fatigue. Only energy levels predict sleep/rest fatigue.

Item Type: Thesis (UNSPECIFIED)
Supervisor name: Mouton, L.J. and Armbrust, W. and Lelieveld, O.T.H.M.
Faculty: Medical Sciences
Date Deposited: 15 Apr 2022 14:05
Last Modified: 15 Apr 2022 14:05
URI: https://umcg.studenttheses.ub.rug.nl/id/eprint/3110

Actions (login required)

View Item View Item