Fatigue: Biomedicine, Health & Behavior - Volume 3, Issue 1, 2015

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Titles and abstracts for the journal, Fatigue: Biomedicine, Health & Behavior, Volume 3, Issue 1, 2015.

Volume 3, Issue 1, 2015[edit | edit source]

  • Chronic fatigue syndrome and co-morbid and consequent conditions: evidence from a multi-site clinical epidemiology study

    Abstract - Background: Epidemiologic data that inform our understanding of the type, frequency, and burden of co-morbidities with chronic fatigue syndrome is limited. Purpose: To elucidate co-morbid and consequent conditions, using data from a clinical epidemiology study of long-term CFS patients. Methods: Some 960 adults with CFS were identified at four sites specializing in the diagnosis and treatment of CFS. Patients reported their demographics, CFS course, other medical diagnoses, and current functioning. We determined associations between: co-morbidities and a patient's current health relative to their health when diagnosed with CFS; CFS symptom severity at onset and subsequent diagnosis with a co-morbid condition; and presence of a co-morbidity and functional ability. We also modeled the change in CFS symptom severity over time as it relates to the presence of a co-morbidity. Results: Of the sample, 84% was diagnosed with one or more co-morbid conditions after CFS onset. Fibromyalgia, depression, anxiety, and hypothyroidism were the most common diagnoses. Nearly 60% of the sample reported a mental illness. Conclusions: In general, co-morbid conditions reduced functional ability and were associated with the worsening of CFS symptoms over time. This study provides important new information on the prevalence of co-morbid conditions and their impact on the course of CFS.[1]

  • Test–retest reliability of the DePaul Symptom Questionnaire

    Abstract - Background: The DePaul Symptom Questionnaire (DSQ) was developed to provide a structured approach for collecting standardized symptomatology and health history information to allow researchers and clinicians to determine whether a patient meets the diagnostic criteria for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), myalgic encephalomyelitis (ME), and/or chronic fatigue syndrome (CFS). Purpose: The purpose of this study was to examine the test–retest reliability of the DSQ. Methods: Test–retest reliability of the measure was examined with a sample of 26 adults self-identifying as having either ME/CFS, ME, and/or CFS and 25 adults who did not self-identify as having these illnesses and were otherwise healthy controls. Results: Overall, the majority of items on the DSQ exhibited good to excellent test–retest reliability, with Pearson's or kappa correlation coefficients that were 0.70 or higher. Conclusions: Thus, the present study suggests that the DSQ is a reliable diagnostic measure that can provide a standardized way of examining illness constructs and symptomatology among patients who identify as having ME/CFS, ME, and/or CFS.[2]

  • Prolonged fatigue in Ukraine and the United States: prevalence and risk factors

    Abstract - Background: Prolonged, severe, unalleviated fatigue may be disabling whether it occurs on its own or in conjunction with medical or psychiatric conditions. This paper compares the prevalence and correlates of prolonged fatigue in general population samples in Ukraine versus the US. Methods: Population surveys were conducted in 2002 in both Ukraine (Ukraine World Mental Health [WMH] Survey) and the US (National Comorbidity Survey-Replication; NCS-R). Both surveys administered the Composite International Diagnostic Interview (CIDI 3.0), which contained modules assessing: neurasthenia (prolonged fatigue); mood, anxiety, and alcohol/drug use disorders; chronic medical conditions; and demographic characteristics. Multivariable logistic regression was used to examine risk factors in each country. Results: The lifetime prevalence of prolonged fatigue was higher in Ukraine (5.2%) than the US (3.7%). In both countries, one-fifth of individuals with prolonged fatigue had no medical or DSM-IV psychiatric condition. Also in both settings, fatigue was significantly associated with socio-demographic characteristics (being female, not working, and married before) as well as early onset and adult episodes of mood/anxiety disorder. Fatigue prevalence in Ukraine increased with age, but decreased in the US at age 70. Unique risk factors for fatigue in Ukraine included lower socio-economic status, Ukrainian versus Russian ethnicity, and cardiovascular disease. Unique risk factors in the US were parental depression/anxiety, adult episodes of alcohol/drugs, pain conditions, and other health problems. Conclusions: The lifetime prevalence of prolonged fatigue in Ukraine was 40% higher than that found in US data. In addition, fatigue prevalence increased sharply with age in Ukraine perhaps due to limited social and medical resources and greater comorbidity.[3]

  • Long-term follow-up of multi-disciplinary outpatient treatment for chronic fatigue syndrome/myalgic encephalopathy

    Abstract - Aims: The current study evaluated the long-term effectiveness of a multi-disciplinary approach to chronic fatigue syndrome/myalgic encephalopathy (CFS/ME) in a UK outpatient service. Methods: A longitudinal questionnaire survey was posted to 300 patients, incorporating measures of fatigue, physical functioning, mental health, and pain. Outcome measures administered at baseline (prior to service use) were compared to assessments at discharge, and at follow-up (average 34 months post-intervention). Results: Linear mixed modelling showed that fatigue, physical functioning, and depression significantly improved, although the improvement was reduced for fatigue, physical functioning, and pain at follow-up. Gainful employment had a significant positive association with most measures. Conclusions: The targeted multi-disciplinary service appeared to be at least somewhat effective long-term, and highly acceptable to patients. Patients appeared to benefit from individual and group approaches that combined cognitive behavioural therapy, graded exercise therapy, and pacing.[4]

See also[edit | edit source]

References[edit | edit source]

  1. Bateman, L.; Darakjy, S.; Klimas, N.; Peterson, D.; Levine, S.M.; Allen, A.; Carlson, S.A.; Balbin, E.G.; Gottschalk, G.; March, D. (2015), "Chronic fatigue syndrome and co-morbid and consequent conditions: evidence from a multi-site clinical epidemiology study", Fatigue: Biomedicine, Health & Behavior, 3 (1): 1-15, doi:10.1080/21641846.2014.978109
  2. Jason, Leonard A.; So, Suzanne; Brown, Abigail A.; Sunnquist, Madison; Evans, Meredyth (2015), "Test–retest reliability of the DePaul symptom questionnaire.", Fatigue: Biomedicine, Health & Behavior, 3 (1): 16-32, doi:10.1080/21641846.2014.978110
  3. Friedberg, F., Tintle, N., Clark, J., & Bromet, E. (2015). Prolonged fatigue in Ukraine and the United States: prevalence and risk factors. Fatigue: Biomedicine, Health & Behavior, 3 (1), 33-46. doi:10.1080/21641846.2014.993829
  4. Houlton, A., Christie, M. M., Smith, B., & Gardiner, E. (2015). Long-term follow-up of multi-disciplinary outpatient treatment for chronic fatigue syndrome/myalgic encephalopathy. Fatigue: Biomedicine, Health & Behavior, 3 (1), 47-58. doi:10.1080/21641846.2014.993873