title: Monitoring and assessing symptoms of chronic fatigue syndrome: use of time series regression.
abstract: Chronic Fatigue Syndrome's principal symptoms are severe and include prolonged fatigue and a number of other minor symptoms. Behavioral data collection methods were used in a case study to show some of the benefits that can be derived from monitoring symptoms hourly and daily. Using time series regression, several statistically significant correlates of fatigue were found both within days and between days. Perceived energy, physical exertion, and mental exertion were significantly related to fatigue in both analyses. Collection of such data may help resolve a number of theoretical and methodological problems in research on the Chronic Fatigue Syndrome.
authors.affiliation: Department of Psychology, DePaul University, Chicago, IL 60614, USA.
authors.forename: L A
authors.initials: LA
authors.lastname: Jason
authors.forename: W W
authors.initials: WW
authors.lastname: Tryon
authors.forename: R R
authors.initials: RR
authors.lastname: Taylor
authors.forename: C
authors.initials: C
authors.lastname: King
authors.forename: E L
authors.initials: EL
authors.lastname: Frankenberry
authors.forename: K M
authors.initials: KM
authors.lastname: Jordan
mesh_terms: D000328:Adult; D015673:Fatigue Syndrome, Chronic / Q000175:diagnosis*; D006801:Humans; D008297:Male; D018670:Monitoring, Ambulatory; D012044:Regression Analysis; D012720:Severity of Illness Index