Hostname: page-component-cd9895bd7-jn8rn Total loading time: 0 Render date: 2024-12-28T03:39:04.291Z Has data issue: false hasContentIssue false

Long-term sickness absence among patients with chronic fatigue syndrome

Published online by Cambridge University Press:  02 January 2018

Ann Kristin Knudsen*
Affiliation:
Research Section of Mental Health Epidemiology, Department of Health Promotion and Development, Faculty of Psychology, University of Bergen, Norway
Max Henderson
Affiliation:
Kings College London, Institute of Psychiatry, London, UK
Samuel B. Harvey
Affiliation:
Kings College London, Institute of Psychiatry, London, UK
Trudie Chalder
Affiliation:
Kings College London, Institute of Psychiatry, London, UK
*
Ann Kristin Knudsen, Research Section of Mental Health Epidemiology, Department of Health Promotion and Development, Faculty of Psychology, University of Bergen, Christiesgt. 13, N-5020 Bergen, Norway. Email: Ann.Knudsen@psych.uib.no
Rights & Permissions [Opens in a new window]

Summary

Chronic fatigue syndrome is associated with high levels of occupational disability. Consecutive out-patients at a chronic fatigue syndrome treatment service were studied for associations between occupational status, symptom severity and cognitive and behavioural responses to symptoms. All patients had high symptom levels; however, those on long-term sickness absence had significantly more physical fatigue (β = 0.098, P<0.05) and worse sleep (β = 0.075, P<0.05). Patients with long-term sickness absence also demonstrated more embarrassment avoidance cognitions (β = 0.086, P<0.05) and avoidance resting behavioural responses (β = 0.078, P<0.05). Identifying and addressing avoidance behaviours and cognitions regarding embarrassment in interventions may enhance the chances of individuals returning to work.

Type
Short report
Copyright
Copyright © Royal College of Psychiatrists, 2011 

The level of disability associated with chronic fatigue syndrome (CFS) is often high and the prognosis and occupational outcomes are poor. Reference Cairns and Hotopf1 Poor occupational outcomes are seen in many chronic disorders, although the associations between disease severity and work-related function are often weak. Although previous research has suggested an association between the level of physical functioning and risk of long-term sickness absence among fatigued employees, Reference Leone, Huibers, Kant, Van Schayck, Bleijenberg and Knottnerus2 other factors including illness beliefs, sleep disturbance, comorbid psychiatric symptoms and attributional style may also be important. Reference Cairns and Hotopf1,Reference Sivertsen, Overland, Bjorvatn, Maeland and Mykletun3Reference Harvey, Wadsworth, Wessely and Hotopf5

The aim of this study was to examine clinical factors associated with long-term sickness absence in patients with CFS. We hypothesised that both symptom severity and cognitive and behavioural responses would be associated with poor occupational outcome.

Method

Consecutive patients entering an out-patient treatment unit for CFS were recruited for this study. All patients were diagnosed with CFS according to the Oxford criteria Reference Sharpe6 following detailed clinical examination and investigations. The information used in this study was collected prior to any intervention.

Patients self-reported their current work status. Those describing themselves as in full-time, part-time or in casual work, or as students, were classified as ‘at work’. Those on sick leave for longer than 3 months or permanently sick or disabled were classified as ‘long-term sickness absence’.

Patients were asked about the number of symptoms they were experiencing from a list of nine commonly reported by patients with CFS (muscle pain, joint pain, tender neck/armpit glands, un-refreshing sleep, poor memory, headaches, sore throat, malaise for 24 hours or more after exertion, and poor concentration). The number of psychiatric symptoms was assessed by the Revised Clinical Interview Schedule (CISR). Reference Lewis, Pelosi, Araya and Dunn7 As fatigue and psychiatric disorder commonly co-occur, Reference Harvey, Wessely, Kuh and Hotopf8 fatigue symptoms in the CISR were omitted. The level of fatigue was measured by the Chalder Fatigue Scale. Reference Chalder, Berelowitz, Pawlikowska, Watts, Wessely and Wright9 This measures physical and mental fatigue producing a total score between 0 and 11. The Jenkins Sleep Scale was used to assess sleep problems. The responses are given on a six-point frequency scale (0–5), giving a total score from 0 to 20. Reference Jenkins, Stanton, Niemcryk and Rose10

The Cognitive and Behavioural Responses Questionnaire (CBRQ) is a new scale designed to assess patients’ cognitive and behavioural responses to symptoms. Reference Skerrett and Moss-Morris11 It has been validated on 230 patients with CFS (further details available from T.C. on request) and has been used in patients with multiple sclerosis. Reference Skerrett and Moss-Morris11 Previous factor analysis of Likert-scored data revealed five cognitive subscales and two behavioural subscales. Of the cognitive subscales, one measures the level of symptom focusing, and four assess how patients interpret their symptoms (catastrophising, damage beliefs, fear avoidance and embarrassment avoidance). The two behavioural response subscales measure all-or-nothing behaviour, and avoidance/resting behaviour. Descriptions of the subscales with examples of questions asked are provided in online Appendix DS1. The internal reliability of the scales on the current sample was high, with Chronbach’s alpha ranging from 0.70 to 0.88.

SPSS version 15.0 for Windows was used for the statistical analyses. Differences between those included and excluded from analysis were tested for using Student’s t-tests and chi-squared tests. The associations between each measure of symptom severity, cognitive and behavioral responses and long-term sickness absence were initially examined using linear regression. Standardised coefficients were calculated with age, gender and education considered as possible confounders. Finally, those factors identified as being associated with long-term sickness absence on individual testing were then entered into a backwards stepwise regression model.

Results

Data were available for 257 consecutive out-patients meeting diagnostic criteria for CFS. Individuals with missing information (n = 48) and those who reported being unemployed, retired or looking after the home (n = 41) were excluded from the analysis. The sample mean age was 38.4 years (range 18–61), and more than two-thirds (68.6%) were female. Over half (51.7%) had university education. There were significantly more women among the excluded individuals, who were also older and had lower attained education level (P<0.01 for all variables). There was no significant difference between those included and those excluded in terms of number of symptoms (P = 0.20) and level of fatigue (P = 0.85). Scores on the cognitive and behavioural subscales were normally distributed.

Seventy-one (42.3%) of the patients reported long-term sickness absence. Both working patients and those on long-term sickness absence had high levels of symptom severity (Table 1 shows key results; for complete results see online Table DS1).

Table 1 Mean score (standard deviation) for symptom severity and cognitive and behavioural responses to symptoms among workers (n = 97) v. individuals on long-term sick leave (n = 71)

Variable n a Workers, mean (s.d.) Long-term sick leave, mean (s.d.)
Symptom severity
    CISR symptom score b 119 12.99 (7.62) 13.04 (9.94)
    Chalder Fatigue Scale Physical 161 5.80 (1.87) 6.32 (1.64) *
    Jenkins Sleep Scale 163 10.65 (4.93) 12.58 (4.81) *
Cognitive and behavioural responses
    Fear avoidance 159 13.46 (4.02) 14.68 (3.42)
    Embarrassment avoidance 162 11.12 (5.38) 12.94 (5.07) *
    Avoidance resting behaviour 161 12.23 (4.63) 14.32 (5.90) *

P = 0.051

* P < 0.05, adjusted for age, gender and education.

CISR, Revised Clinical Interview Schedule.

a Total with valid responses on scale. Individuals with missing responses on scale items excluded from the analysis.

b Total score CISR symptoms without fatigue.

However, only physical fatigue and sleep were significantly worse among the patients with long-term sickness absence (β = 0.098, P<0.05 and β = 0.075, P<0.05 respectively). For cognitive and behavioural responses, patients reporting long-term sickness absence had significantly higher mean scores on the subscales embarrassment avoidance (β = 0.086, P<0.05) and avoidance resting behaviour (β = 0.078, P<0.05), and borderline significant higher levels of fear avoidance (β = 0.078, P = 0.05). The subanalysis using backwards stepwise regression produced a final model containing four elements; fear avoidance (P = 0.03), embarrassment avoidance (P = 0.05), physical fatigue (P =0.09) and age (P<0.001).

Discussion

Long-term sickness absence among patients with CFS was associated with physical fatigue, poor sleep, and cognitive and behavioural responses characterised by embarrassment over symptoms and avoidant behaviour.

The strengths of this study include its clinical setting, diagnostic procedures and the large amount of detailed information collected about each patient. The small sample size, multiple comparisons and the use of stepwise regression raises the risk of findings occurring by chance (type 1 error). In order to reduce this risk we carried out the minimum number of statistical tests required to examine our a priori hypotheses. As we were only able to look at cross-sectional associations, we cannot comment on cause and effect. The use of data from a specialised CFS clinic and the use of a new scale may limit the generalisability of our results.

To our knowledge, this is the first study to examine the associations between specific cognitive and behavioural responses and long-term sickness absence in patients with CFS. Our findings are in accordance with previous studies suggesting that factors other than symptom severity are important in predicting prognosis in CFS. Reference Sivertsen, Overland, Bjorvatn, Maeland and Mykletun3 Similar findings have occurred when the role of cognitive and emotional factors have been considered in musculoskeletal and cardiovascular disorders, Reference Hoving, van der Meer, Volkova and Frings-Dresen12Reference Vlaeyen and Linton14 with passive–reactive coping strategies, such as avoidance, appearing to be of particular importance in predicting occupational outcomes. Reference van Rhenen, Schaufeli, van Dijk and Blonk15 We suggest that cognitive and behavioral responses have a role in predicting functional outcomes of any chronic illness, although the contested nature of CFS may increase their importance. This may accentuate any embarrassment over symptoms or fears that symptoms may get out of control. Such reactions, when combined with a tendency towards avoidant responses may contribute to an increasing spiral of avoidance of all social situations including work.

To date there is little evidence on the effectiveness of interventions to prevent long-term sickness absence and facilitate return to work in patients with CFS. The results of this study suggest that identifying and addressing avoidance behaviours and cognitions regarding embarrassment in interventions for CFS may enhance the chances of individuals returning to work.

Funding

The authors received no specific funding for this study. T.C., S.B.H. and M.H. acknowledge financial support from the NIHR Biomedical Research Centre for Mental Health at the South London and Maudsley NHS Foundation Trust and the Institute of Psychiatry, King’s College London.

Acknowledgements

We thank the patients for completing the questionnaires, Julia Brown and Mary Ridge the research assistants who entered the data and all the therapists involved in collecting the data: Katharine Rimes, Mary Burgess, Suzanne Roche, Barbara Bowman, Sue Wilkins, Antonia Dittner and Henry Prempeh Adu Bobi.

Footnotes

These authors contributed equally to the work.

Declaration of interest

T.C. is an author of self-help books on chronic fatigue.

References

1 Cairns, R, Hotopf, M. A systematic review describing the prognosis of chronic fatigue syndrome. Occup Med 2005; 55: 2031.Google Scholar
2 Leone, SS, Huibers, MJH, Kant, I, Van Schayck, CP, Bleijenberg, G, Knottnerus, JA. Long-term predictors of outcome in fatigued employees on sick leave: a 4-year follow-up study. Psychol Med 2006; 36: 1293–300.CrossRefGoogle ScholarPubMed
3 Sivertsen, B, Overland, S, Bjorvatn, B, Maeland, JG, Mykletun, A. Does insomnia predict sick leave? The Hordaland Health Study. J Psychosomat Res 2009; 661: 6774.Google Scholar
4 Huibers, MJH, Kant, IJ, Swaen, GMH, Kasl, SV. Prevalence of chronic fatigue syndrome-like caseness in the working population: results from the Maastricht cohort study. Occup Environ Med 2004; 61: 464–6.CrossRefGoogle ScholarPubMed
5 Harvey, SB, Wadsworth, M, Wessely, S, Hotopf, M. The relationship between prior psychiatric disorder and chronic fatigue: evidence from a national birth cohort study. Psychol Med 2008; 387: 933–40.Google Scholar
6 Sharpe, MC. A report – chronic fatigue syndrome – guidelines for research. J R Soc Med 1991; 84: 118–21.Google ScholarPubMed
7 Lewis, G, Pelosi, AJ, Araya, R, Dunn, G. Measuring psychiatric disorder in the community: a standardised assessment for use by lay interviewers. Psychol Med 1992; 222: 465–86.Google Scholar
8 Harvey, SB, Wessely, S, Kuh, D, Hotopf, M. The relationship between fatigue and psychiatric disorders: evidence for the concept of neurasthenia. J Psychosomat Res 2009; 66: 445–54.Google Scholar
9 Chalder, T, Berelowitz, G, Pawlikowska, T, Watts, L, Wessely, S, Wright, D, et al. Development of a fatigue scale. J Psychosomat Res 1993; 37: 147–53.CrossRefGoogle ScholarPubMed
10 Jenkins, CD, Stanton, BA, Niemcryk, SJ, Rose, RM. A scale for the estimation of sleep problems in clinical research. J Clin Epidemiol 1988; 41: 313–21.CrossRefGoogle ScholarPubMed
11 Skerrett, TN, Moss-Morris, R. Fatigue and social impairment in multiple sclerosis: the role of patients' cognitive and behavioral responses to their symptoms. J Psychosomat Res 2006; 615: 587–93.Google Scholar
12 Hoving, JL, van der Meer, M, Volkova, AY, Frings-Dresen, MH. Illness perceptions and work participation: a systematic review. Int Arch Occup Environ Health 2010; 836: 595605.Google Scholar
13 Scharloo, M, Kaptein, AA, Weinman, J, Hazes, JM, Willems, LN, Bergman, W, et al. Illness perceptions, coping and functioning in patients with rheumatoid arthritis, chronic obstructive pulmonary disease and psoriasis. J Psychosomat Res 1998; 445: 573–85.Google Scholar
14 Vlaeyen, JWS, Linton, SJ. Fear-avoidance and its consequences in chronic musculoskeletal pain: a state of the art. Pain 2000; 853: 317–32.Google Scholar
15 van Rhenen, W, Schaufeli, WB, van Dijk, FJH, Blonk, RW. Coping and sickness absence. Int Arch Occup Environ Health 2008; 814: 461–72.Google Scholar
Figure 0

Table 1 Mean score (standard deviation) for symptom severity and cognitive and behavioural responses to symptoms among workers (n = 97) v. individuals on long-term sick leave (n = 71)

Supplementary material: PDF

Knudsen et al. supplementary material

Supplementary Material

Download Knudsen et al. supplementary material(PDF)
PDF 40.7 KB
Submit a response

eLetters

No eLetters have been published for this article.