Tag: large-scale study

Effect of psychiatric disorders on outcome of cognitive-behavioural therapy for chronic fatigue syndrome

Abstract:

Psychiatric disorders have been associated with poor outcome in individuals with chronic fatigue syndrome (CFS). This study examines the impact of psychiatric disorders on outcome of cognitive-behavioural therapy (CBT). Psychiatric diagnoses were assessed with a structured psychiatric interview in a CBT trial of 270 people with CFS. Lifetime and current psychiatric disorders were found in 50 and 32% respectively. No significant differences in fatigue severity and functional impairment following treatment were found between participants with and without psychiatric diagnoses.

 

Source: Prins J, Bleijenberg G, Rouweler EK, van der Meer J. Effect of psychiatric disorders on outcome of cognitive-behavioural therapy for chronic fatigue syndrome. Br J Psychiatry. 2005 Aug;187:184-5. http://bjp.rcpsych.org/content/187/2/184.long (Full article)

 

Psychometric properties of the CDC Symptom Inventory for assessment of chronic fatigue syndrome

Abstract:

OBJECTIVES: Validated or standardized self-report questionnaires used in research studies and clinical evaluation of chronic fatigue syndrome(CFS) generally focus on the assessment of fatigue. There are relatively few published questionnaires that evaluate case defining and other accompanying symptoms in CFS. This paper introduces the self-report CDC CFS Symptom Inventory and analyzes its psychometric properties.

METHODS: One hundred sixty-four subjects (with CFS, other fatiguing illnesses and non fatigued controls) identified from the general population of Wichita, Kansas were enrolled. Evaluation included a physical examination, a standardized psychiatric interview, three previously validated self-report questionnaires measuring fatigue and illness impact (Medical Outcomes Survey Short-Form-36 [MOS SF-36], Multidimensional Fatigue Inventory [MFI], Chalder Fatigue Scale), and the CDC CFS Symptom Inventory. Based on theoretical assumptions and statistical analyses, we developed several different Symptom Inventory scores and evaluated them on their ability to differentiate between participants with CFS and non-fatigued controls.

RESULTS: The Symptom Inventory had good internal consistency and excellent convergent validity. A Total score (all symptoms), Case Definition score (CFS case defining symptoms) and Short Form score (6 symptoms with minimal correlation) differentiated CFS cases from controls. Furthermore, both the Case Definition and Short Form scores distinguished people with CFS from fatigued subjects who did not meet criteria for CFS.

CONCLUSION: The Symptom Inventory appears to be a reliable and valid instrument to assess symptoms that accompany CFS. It is a positive addition to existing instruments measuring fatigue because it allows other dimensions of the illness to be assessed. Further research is needed to confirm and replicate the current findings in a normative population.

 

Source: Wagner D, Nisenbaum R, Heim C, Jones JF, Unger ER, Reeves WC. Psychometric properties of the CDC Symptom Inventory for assessment of chronic fatigue syndrome. Popul Health Metr. 2005 Jul 22;3:8. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1183246/ (Full article)

 

A longitudinal study of physical activity and body mass index among persons with unexplained chronic fatigue

Abstract:

OBJECTIVE AND METHODS: A cohort of 100 patients with unexplained chronic fatigue (CF) was assessed longitudinally for 1.5 years to determine if physical activity (kcal expended), exercise capacity (VO(2)max), perceived exertion, and body mass index (BMI) changed over time and were associated with changes in CF-related clinical status.

RESULTS: BMI increased significantly over time but did not predict changes in clinical status. Increasing energy expenditure was associated with increasing vitality and decreasing CF symptom severity over time, and decreasing perceived exertion was associated with increasing physical functioning. However, increasing perceived exertion was also associated with increasing CF symptoms.

CONCLUSIONS: These data do not support models that posit associations between CF and deconditioning.

 

Source: Schmaling KB, Fiedelak JI, Bader J, Buchwald D. A longitudinal study of physical activity and body mass index among persons with unexplained chronic fatigue. J Psychosom Res. 2005 Apr;58(4):375-81. http://www.ncbi.nlm.nih.gov/pubmed/15992573

 

Chronic Fatigue Syndrome: a survey of GPs’ attitudes and knowledge

Abstract:

BACKGROUND: GPs need evidence and guidance to help them diagnose and manage Chronic Fatigue Syndrome (CFS)/ME appropriately.

OBJECTIVES: The aim of this survey was to obtain baseline data and identify the factors associated with GPs’ attitudes to and knowledge of CFS/ME. The attitude of GPs to the condition is an important indicator of likely prognosis.

METHODS: A postal questionnaire was sent to 1054 GPs served by Taunton, Bristol and Gloucester laboratories. GPs’ attitudes to nine statements about CFS/ME were assessed and the factors associated with positive or negative responses were determined. Knowledge of the clinical features was also assessed.

RESULTS: 811 GPs (77%) returned the questionnaire. 48% of GPs did not feel confident with making a diagnosis of CFS/ME and 41% did not feel confident in treatment. 72% of GPs accepted CFS/ME as a recognisable clinical entity and those GPs had significantly more positive attitudes. Three other key factors that were significantly, positively associated with GPs’ attitudes were knowing someone socially with CFS/ME, being male and seeing more patients with the condition in the last year.

CONCLUSION: Despite the publication of guidance for GPs on CFS/ME, confidence with making a diagnosis and management was found to be low. Educational initiatives and guidance for GPs should stress the importance of accepting CFS/ME as a recognisable clinical entity, as this is linked to having a positive attitude and could lead to improved confidence to make a diagnosis and treat CFS/ME patients.

 

Source: Bowen J, Pheby D, Charlett A, McNulty C. Chronic Fatigue Syndrome: a survey of GPs’ attitudes and knowledge. Fam Pract. 2005 Aug;22(4):389-93. Epub 2005 Apr 1. http://fampra.oxfordjournals.org/content/22/4/389.long (Full article)

 

Predictors of outcome following treatment for chronic fatigue

Abstract:

We explored the role of baseline characteristics of 105 patients who presented with fatigue in primary care in determining outcome following either graded exercise or cognitive-behavioural therapy. Meeting the criteria for chronic fatigue syndrome was the most powerful predictor of poor outcome and this negative effect was enhanced by greater functional impairment or greater perceived negative consequences, but was not further enhanced by both.

 

Source: Darbishire L, Seed P, Ridsdale L. Predictors of outcome following treatment for chronic fatigue. Br J Psychiatry. 2005 Apr;186:350-1. http://bjp.rcpsych.org/content/186/4/350.long (Full article)

 

Prevalence of severe fatigue in primary care

Although chronic fatigue in UK adult primary care patients is relatively common,1 there have been no comparative studies in children. Estimates of the prevalence of chronic fatigue syndrome (CFS) or CFS-like illness in children vary widely according to case definition and methodology and range from 2.7/100 0002 to 570/ 100 000,3 although they all suggest that the prevalence is lower than among adults.1

You can read the rest of this article here: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1720362/pdf/v090p00367.pdf

 

Source: Haines LC, Saidi G, Cooke RW. Prevalence of severe fatigue in primary care. Arch Dis Child. 2005 Apr;90(4):367-8. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1720362/pdf/v090p00367.pdf (Full article)

 

Development of a functional ability scale for children and young people with myalgic encephalopathy (ME)/chronic fatigue syndrome (CFS)

Abstract:

The numerous symptoms and unpredictable pattern of myalgic encephalopathy (ME) make it difficult to describe, especially for children. It was left to carers to guess what the child could achieve each day, often leading to over/underestimates. A functional ability scale was needed, which measured from 0 to 100 percent able and that children and young people themselves designed.

A new scale was developed from the Moss Ability Scale using the critique of 251 children and young people from the Association of Young People with ME (AYME). Responding to the shift in emphasis towards patients taking an active role in their own care, it was felt these young people would know whether the scale measured what it had set out to measure, and were asked questions on the face and content validity of the scale. There was a 99 percent agreement between the young people that the final scale was ‘workable’ or better.

 

Source: Moss J. Development of a functional ability scale for children and young people with myalgic encephalopathy (ME)/chronic fatigue syndrome (CFS). J Child Health Care. 2005 Mar;9(1):20-30. http://www.ncbi.nlm.nih.gov/pubmed/15684437

 

Predictors of outcome in fatigued employees on sick leave: results from a randomised trial

Abstract:

OBJECTIVE: The main objective of this study was to identify predictors of fatigue caseness, work resumption and chronic fatigue syndrome (CFS)-like caseness in a sample of fatigued employees on sick leave.

METHODS: For 12 months, 151 fatigued employees on sick leave, 44% of whom met research criteria for CFS at baseline, were followed. Measures included fatigue, health aspects, psychological problems, burnout, causal attributions and self-efficacy. Logistic regression analysis was used to determine associations between predictor variables at baseline and outcome at follow-up.

RESULTS: After 12 months, 43% of the patients were no longer fatigue cases, and 62% had resumed work. Recovery from fatigue caseness was predicted by stronger psychological attributions and other perception-related factors, whereas work resumption was predicted by lower age, male sex, CFS-like caseness and less cognitive difficulties. Lower physical functioning scores were predictive of (the development of) CFS-like caseness.

CONCLUSION: Recovering from persistent fatigue and work resumption seem to result from different underlying processes and do not necessarily fall together. As many factors associated with outcome in fatigue reflect illness perception, the prevention of persistent fatigue and CFS may partly be achieved by the modification of perception.

 

Source: Huibers MJ, Bleijenberg G, van Amelsvoort LG, Beurskens AJ, van Schayck CP, Bazelmans E, Knottnerus JA. Predictors of outcome in fatigued employees on sick leave: results from a randomised trial. J Psychosom Res. 2004 Nov;57(5):443-9. http://www.ncbi.nlm.nih.gov/pubmed/15581647

 

Sociodemographic and symptom correlates of fatigue in an adolescent primary care sample

Abstract:

PURPOSE: To describe the prevalence of prolonged fatigue, chronic fatigue syndrome (CFS)-like illness, and associated symptom patterns in adolescents attending primary care.

METHODS: The design was cross-sectional. A questionnaire designed by the authors assessing fatigue and associated symptoms was administered to 901 adolescents (aged 11-18 years) attending 12 primary care clinics in the Chicago area. Prevalence rates for prolonged fatigue and CFS-like illness were calculated. Univariate comparisons involving sociodemographic data and fatigue severity were made between adolescents with and without prolonged fatigue, and sociodemographic and symptom predictors of prolonged fatigue were identified using logistic regression analysis.

RESULTS: Prolonged fatigue (> or = 1 month) occurred at a rate of 8.0% and CFS-like illness occurred at a rate of 4.4%. Adolescents with prolonged fatigue were significantly older and also reported greater fatigue severity than those without fatigue. Findings from logistic regression indicated that, in addition to increasing age, headaches, muscle pains, fever, and fatigue made worse by exercise were significantly associated with prolonged fatigue.

CONCLUSIONS: Abnormal fatigue is a disabling and prevalent condition in adolescents in primary care. It is associated with a number of additional symptoms, many of which may have viral origins.

 

Source: Mears CJ, Taylor RR, Jordan KM, Binns HJ; Pediatric Practice Research Group. Sociodemographic and symptom correlates of fatigue in an adolescent primary care sample. J Adolesc Health. 2004 Dec;35(6):528e.21-6. http://www.ncbi.nlm.nih.gov/pubmed/15581533

 

Prediction of peak oxygen uptake in patients fulfilling the 1994 CDC criteria for chronic fatigue syndrome

Abstract:

PURPOSE: To establish an inexpensive, simple method of predicting peak oxygen uptake (VO2peak) in patients fulfilling the 1994 Centers for Disease Control and Prevention (CDC) criteria for chronic fatigue syndrome (CFS).

DESIGN: A retrospective observational study.

SETTING: An outpatient tertiary care chronic fatigue clinic.

SUBJECTS: Two hundred and forty consecutive patients fulfilling the 1994 CDC criteria for CFS.

INTERVENTIONS: Heart rate, metabolic and ventilatory parameters were measured continuously during a maximal exercise stress test on a bicycle ergometer. Using the equation peak oxygen uptake = 13.1 x peak workload +284 (used by Mullis et al., Br J Sports Med 1999; 33: 352-56), VO2peak was predicted from the peak workload of a maximal exercise capacity test. Pearson correlation coefficient and linear regression analysis were used to establish the most accurate way to predict VO2peak.

RESULTS: Percentage error encountered when comparing actual measured VO2peak with predicted value was 17.3% (+/-10.0). A strong correlation between VO2peak and peak workload was observed (r= 0.89, p < 0.001). A regression analysis established the relation as VO2peak = 10.47 x peak workload +284.1, where VO2peak is given in ml/min and peak workload in W (error in prediction = 11.0+/-9.5%).

CONCLUSIONS: Monitoring of the peak workload during a maximal, graded bicycle ergometric test suffices to predict the VO2peak. When predicting VO2peak the used operational definition for the diagnosis of CFS could be taken into account. Compared with the equation used by Mullis et al., peak workload is multiplied by 10.47 in order to predict peak oxygen uptake in CDC-defined CFS patients.

 

Source: Nijs J, De Meirleir K. Prediction of peak oxygen uptake in patients fulfilling the 1994 CDC criteria for chronic fatigue syndrome. Clin Rehabil. 2004 Nov;18(7):785-92. http://www.ncbi.nlm.nih.gov/pubmed/15573835