STUDY OBJECTIVE: To identify risk factors of the development of the chronic fatigue syndrome (CFS), the persistence or recurrence of fatigue, or recovery from fatigue in a large sample of fatigued employees. DESIGN: Analyses were based on the Maastricht cohort study (MCS), a prospective population based cohort study among more than 12 000 employees. Multiple regression models were used to identify predictors of CFS-like caseness (meeting research criteria for CFS), non-CFS fatigue caseness, or no fatigue caseness. SETTING: The working population in the Netherlands. PARTICIPANTS: 1143 employees with medically unexplained fatigue were followed up prospectively for 44 months. MAIN RESULTS: At 44 month follow up, 8% of the employees were CFS-like cases (none of who reported to have received a CFS diagnosis), 40% were non-CFS fatigue cases, and 52% were no longer fatigue cases. Factors that predicted CFS-like caseness compared with non-CFS fatigue caseness were high age, exhaustion, female sex, low education, and visits to the general practitioner. Factors that predicted CFS-like caseness compared with no fatigue caseness were fatigue, exhaustion, low education, visits to the GP and occupational physician, and bad self rated health. Factors that predicted non-CFS fatigue caseness compared with no fatigue caseness were fatigue, low self perceived activity, exhaustion, anxious mood, and bad self rated health. CONCLUSIONS: Unexplained fatigue among employees in some instances is a precursor of the development of CFS. The prognostic role of self rated health suggests that prevention and treatment of chronic fatigue should be aimed at changing the perception of health or illness. Less clear is the role of health care seeking or receiving a CFS diagnosis.
STUDY OBJECTIVE: To identify risk factors of the development of the chronic fatigue syndrome (CFS), the persistence or recurrence of fatigue, or recovery from fatigue in a large sample of fatigued employees. DESIGN: Analyses were based on the Maastricht cohort study (MCS), a prospective population based cohort study among more than 12 000 employees. Multiple regression models were used to identify predictors of CFS-like caseness (meeting research criteria for CFS), non-CFS fatigue caseness, or no fatigue caseness. SETTING: The working population in the Netherlands. PARTICIPANTS: 1143 employees with medically unexplained fatigue were followed up prospectively for 44 months. MAIN RESULTS: At 44 month follow up, 8% of the employees were CFS-like cases (none of who reported to have received a CFS diagnosis), 40% were non-CFS fatigue cases, and 52% were no longer fatigue cases. Factors that predicted CFS-like caseness compared with non-CFS fatigue caseness were high age, exhaustion, female sex, low education, and visits to the general practitioner. Factors that predicted CFS-like caseness compared with no fatigue caseness were fatigue, exhaustion, low education, visits to the GP and occupational physician, and bad self rated health. Factors that predicted non-CFS fatigue caseness compared with no fatigue caseness were fatigue, low self perceived activity, exhaustion, anxious mood, and bad self rated health. CONCLUSIONS: Unexplained fatigue among employees in some instances is a precursor of the development of CFS. The prognostic role of self rated health suggests that prevention and treatment of chronic fatigue should be aimed at changing the perception of health or illness. Less clear is the role of health care seeking or receiving a CFS diagnosis.
Authors: N K Aaronson; M Muller; P D Cohen; M L Essink-Bot; M Fekkes; R Sanderman; M A Sprangers; A te Velde; E Verrips Journal: J Clin Epidemiol Date: 1998-11 Impact factor: 6.437
Authors: J B Prins; G Bleijenberg; E Bazelmans; L D Elving; T M de Boo; J L Severens; G J van der Wilt; P Spinhoven; J W van der Meer Journal: Lancet Date: 2001-03-17 Impact factor: 79.321
Authors: Alwin van Drongelen; Cécile R L Boot; Hynek Hlobil; Tjabe Smid; Allard J van der Beek Journal: Int Arch Occup Environ Health Date: 2016-09-24 Impact factor: 3.015