Literature DB >> 32806955

Activity measurement in pediatric chronic fatigue syndrome.

Bernardo Loiacono1, Madison Sunnquist1, Laura Nicholson1, Leonard A Jason1.   

Abstract

OBJECTIVES: Individuals with myalgic encephalomyelitis (ME) and chronic fatigue syndrome (CFS) experience debilitating symptoms, including post-exertional malaise, an intensification of symptoms after physical or cognitive exertion. Previous studies found differences in the activity levels and patterns of activity among individuals with ME and CFS, compared to healthy controls; however, limited research exists on the activity levels of pediatric patients. The objective of this study was to examine differences in activity between healthy children and youth with ME and CFS.
METHODS: The present study examines the objective (i.e., ActiGraphy) and self-reported levels of activity among children (ages 5 to 17) enrolled in a community-based study of pediatric CFS.
RESULTS: Children with ME and CFS evidenced lower activity levels than healthy control children. Moreover, participants with ME and CFS evidenced increased nighttime activity and delayed initiation of daytime activity. Participants' self-reported activity data significantly correlated with their ActiGraph data, suggesting that children with ME and CFS are able to accurately describe their activity level. DISCUSSION: This study highlights differences in activity level and diurnal/nocturnal activity patterns between healthy children and those with ME and CFS. These differences should be considered in identifying appropriate supports and accommodations for children with ME and CFS.

Entities:  

Keywords:  Chronic fatigue syndrome; activity; myalgic encephalomyelitis; pediatric

Mesh:

Year:  2020        PMID: 32806955      PMCID: PMC7944384          DOI: 10.1177/1742395320949613

Source DB:  PubMed          Journal:  Chronic Illn        ISSN: 1742-3953


  31 in total

1.  Identifying physical activity patterns in chronic fatigue syndrome using actigraphic assessment.

Authors:  S P van der Werf; J B Prins; J H Vercoulen; J W van der Meer; G Bleijenberg
Journal:  J Psychosom Res       Date:  2000-11       Impact factor: 3.006

2.  Validation of the fatigue severity scale in a Swiss cohort.

Authors:  Philipp O Valko; Claudio L Bassetti; Konrad E Bloch; Ulrike Held; Christian R Baumann
Journal:  Sleep       Date:  2008-11       Impact factor: 5.849

3.  Sleep abnormalities demonstrated by home polysomnography in teenagers with chronic fatigue syndrome.

Authors:  G Stores; A Fry; C Crawford
Journal:  J Psychosom Res       Date:  1998-07       Impact factor: 3.006

4.  Assessment of physical activity by self-report: status, limitations, and future directions.

Authors:  J F Sallis; B E Saelens
Journal:  Res Q Exerc Sport       Date:  2000-06       Impact factor: 2.500

5.  Comparison of the ActiGraph 7164 and the ActiGraph GT1M during self-paced locomotion.

Authors:  Sarah L Kozey; John W Staudenmayer; Richard P Troiano; Patty S Freedson
Journal:  Med Sci Sports Exerc       Date:  2010-05       Impact factor: 5.411

6.  Practical guide to measuring physical activity.

Authors:  Louisa G Sylvia; Emily E Bernstein; Jane L Hubbard; Leigh Keating; Ellen J Anderson
Journal:  J Acad Nutr Diet       Date:  2013-11-28       Impact factor: 4.910

7.  Chronic fatigue syndrome impairs circadian rhythm of activity level.

Authors:  Warren W Tryon; Lenny Jason; Erin Frankenberry; Susan Torres-Harding
Journal:  Physiol Behav       Date:  2004-10-15

8.  Actigraphic assessment of sleep disorders in children with chronic fatigue syndrome.

Authors:  Junko Ohinata; Nao Suzuki; Akiko Araki; Satoru Takahashi; Kenji Fujieda; Hajime Tanaka
Journal:  Brain Dev       Date:  2007-11-26       Impact factor: 1.961

Review 9.  Assessment of fatigue in chronic disease: a bibliographic study of fatigue measurement scales.

Authors:  Niels Henrik Hjollund; Johan Hviid Andersen; Per Bech
Journal:  Health Qual Life Outcomes       Date:  2007-02-27       Impact factor: 3.186

10.  Comparison of older and newer generations of ActiGraph accelerometers with the normal filter and the low frequency extension.

Authors:  Kelli L Cain; Terry L Conway; Marc A Adams; Lisa E Husak; James F Sallis
Journal:  Int J Behav Nutr Phys Act       Date:  2013-04-25       Impact factor: 6.457

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