Literature DB >> 22301698

Coping styles in chronic fatigue syndrome: findings from a population-based study.

Urs M Nater, Elizabeth Maloney, Jin-Mann S Lin, Christine Heim, William C Reeves.   

Abstract

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Year:  2012        PMID: 22301698      PMCID: PMC3701445          DOI: 10.1159/000329996

Source DB:  PubMed          Journal:  Psychother Psychosom        ISSN: 0033-3190            Impact factor:   17.659


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Chronic fatigue syndrome (CFS) is a common and debilitating illness [1]. As yet the pathophysiology of CFS remains inchoate, so pharmacologic management aims to alleviate symptoms and is not curative. Cognitive-behavioral therapy and graded exercise therapy appear to be the most effective treatments for CFS [2]. Such therapies require that patients understand, adhere to and practice specific activities to manage their thoughts and expenditure of physical energy. This necessary understanding and commitment are heavily impacted by patients’ coping styles and concomitant psychopathology. In a previous population-based study, we found that people with CFS were significantly more likely to use maladaptive everyday coping strategies than non-fatigued matched controls [3]. In another population-based study, we found that about 60% of people with CFS suffered psychiatric comorbidity; in particular affective and anxiety disorders [4], and displayed maladaptive personality styles [5]. In the current population-based study, we examined coping styles in CFS and how these are affected by depression and anxiety. Study participants were identified during a survey of unwellness in metropolitan, urban, and rural populations of Georgia. Details are given in Reeves et al. [1]. All participants gave informed consent. To identify medical conditions considered exclusionary for CFS [6], participants completed past medical history questionnaires underwent a standardized physical examination, and provided blood and urine specimens for routine clinical laboratory screening. To identify exclusionary psychiatric conditions, participants completed the SCID, a standardized interview [7]. We diagnosed CFS as recommended by the International CFS Study Group [6]. Well controls had no medical or psychiatric conditions considered exclusionary for CFS. We included 113 CFS suffers and 124 ‘well’ controls in our analyses. We used the Ways of Coping Questionnaire (WCQ) to measure coping styles [8]. This 66-item self-report questionnaire comprises a wide range of thoughts and acts that people utilize to deal with the internal or external demands of specific stressful encounters. Coping strategies are summarized in eight scales (table 1). The Self-Rating Depression Scale was used to quantify depressive symptoms, based on 20 items [9]. Anxiety was assessed using the State Anxiety Inventory that provides a continuous score based on 20 items [10].
Table 1

Coping styles in CFS cases and well controls

Coping strategiesWCQ summary scores (95% CI)
F values with d.f.p valuesEffect size η2
CFS (n = 113)well controls (n = 124)
Escape-avoidance14.2 (13.3–15.1)10.9 (10.4–11.4)F(1, 225) = 32.51<0.00110.13
F(1, 223) = 27.95<0.00120.11

Confrontive coping12.3 (11.6–13.0)9.8 (9.3–10.3)F(1, 225) = 29.24<0.00110.12
F(1, 223) = 24.41<0.00120.10

Distancing11.6 (10.9–12.2)10.4 (9.9–10.9)F(1, 225) = 4.860.02810.02
F(1, 223) = 3.640.05820.02

Self-controlling16.3 (15.6–17.1)14.6 (13.9–15.4)F(1, 225) = 13.52<0.00110.06
F(1, 223) = 11.140.00120.05

Seeking social support12.8 (12.1–13.5)12.3 (11.6–13.0)F(1, 225) = 1.880.17110.01
F(1, 223) = 2.080.15120.01

Accepting responsibility8.0 (7.4–8.6)6.2 (5.8–6.7)F(1, 225) = 19.19<0.00110.08
F(1, 223) = 15.97<0.00120.07

Planful problem solving14.3 (13.5–15.0)13.9 (13.1–14.7)F(1, 225) = 1.440.23210.01
F(1, 223) = 1.090.29720.01

Positive reappraisal15.2 (14.2–16.1)14.5 (13.5–15.4)F(1, 225) = 0.950.33210.004
F(1, 223) = 0.720.39720.003

Age, sex, race, and education level are covariates.

Age, sex, race, education level, depressivity, and anxiety are covariates.

Data were tested for normal distribution by the Kolmogorov-Smirnov test. For metric data, group differences between CFS and well subjects were analyzed with general linear models. Homogeneity of variance was assessed using Levene's test. Analyses were two-tailed with the level of significance set at p < 0.05. Demographic features were similar among participants with CFS and well controls. The two groups differed significantly regarding depressive symptoms (CFS: mean (95% CI) = 70.5 (41.5–99.5), well: 37.0 (21.5–52.5); p < 0.001) and anxiety (CFS: 63.8 (34.5–93.1), well: 25.7 (24.7–26.8); p < 0.001). Coping strategies also differed significantly between the two groups (table 1). A multivariate analysis indicated an overall difference (F8, 218 = 5.97; p < 0.001; η2 = 0.18). Relative to the well group, those with CFS had statistically significantly higher mean scores in the escape-avoidance, confrontive, distancing, self-controlling, and accepting responsibility coping styles. All differences remained significant after controlling for age, sex, race, and education level. Effect sizes were of medium strength for those coping styles that differed significantly, with distancing being the exception. We also computed correlations between coping styles, illness duration and fatigue levels (as measured by the Multidimensional Fatigue Inventory [11]) in CFS, but did not observe any significant correlations. We further adjusted for state anxiety and symptoms of depression for comparisons of escape-avoidance, confrontive, distancing, self-controlling, and accepting responsibility coping styles between groups. In this fully adjusted model, all differences in scores for these coping styles between study groups remained significant, except for distancing. Neither symptoms of depression nor anxiety were significantly associated with these coping styles (all p > 0.05). This survey of metropolitan, urban, and rural Georgia populations corroborated our previous findings from the general population of Wichita [3] inasmuch as persons with CFS were significantly more likely to employ maladaptive coping strategies than well controls. Several other studies have documented dysfunctional or maladaptive coping styles in CFS [12]. Our current study circumvented the various methodological problems associated with recruiting participants from primary or tertiary care, which may increase the likelihood that our findings are generalizable to the entire population of persons with CFS, not just those who have obtained medical care. In accordance with our previous study, escape-avoidance emerged as the most prominent coping style in CFS. People utilizing this coping style incorporated behavioral efforts to escape or avoid a specific problem (item example from the WCQ when asked about how the response to a recent stressful event was: ‘I tried to make myself feel better by eating, drinking, smoking, using drugs or medications, etc.’). Further, confrontive coping, which was also used more often in CFS, is characterized by aggressive efforts to alter a stressful situation (‘I expressed anger to the person who caused the problem’). High scores in self-controlling coping indicate increased efforts to regulate an individual's emotions (‘I tried to keep my feelings to myself’), and, finally, high scores in accepting responsibility indicate that someone acknowledges his or her own role in the problem (‘I criticized or lectured myself’). As these coping styles are not inherently negative, it can be assumed that they can turn maladaptive when predominantly used in solving everyday problems. Also, in some instances predominant use of some coping styles may even be an adaptive reaction to the experience of a severe stressor. This needs to be examined in further analyses. A further limitation is that no statement can be made on whether the differences in coping styles between CFS patients and well controls play a role in the causation of CFS and/or might be a consequence of CFS. Also, another community-based study of chronic fatigue showed that no differences existed with regard to coping styles between individuals with CFS and healthy controls [13]. However, measurement of coping differed from our study, rendering it difficult to compare findings between the two studies. Finally, the question arises of whether coping patterns found in CFS are similar to other chronic illnesses. Although some studies indicate that this might not be the case [14], future studies should ascertain whether coping styles found in our study are specific for CFS or not. Importantly, we found that discrepancies between the two groups could not be explained by the presence of depressive symptoms or anxiety, despite of high levels of psychopathology in individuals with CFS. Our findings have important consequences for treatment strategies in CFS. Interventions such as cognitive-behavioral therapy and graded exercise therapy aim at improving adaptive coping capabilities. These treatment approaches will most likely be successful without taking concomitant psychopathology into account. Future studies should now incorporate longitudinal designs in order to determine causal pathways between coping and illness.
  10 in total

Review 1.  Coping and illness cognitions: chronic fatigue syndrome.

Authors:  S Ax; V H Gregg; D Jones
Journal:  Clin Psychol Rev       Date:  2001-03

2.  A SELF-RATING DEPRESSION SCALE.

Authors:  W W ZUNG
Journal:  Arch Gen Psychiatry       Date:  1965-01

3.  Psychiatric comorbidity in persons with chronic fatigue syndrome identified from the Georgia population.

Authors:  Urs M Nater; Jin-Mann S Lin; Elizabeth M Maloney; James F Jones; Hao Tian; Roumiana S Boneva; Charles L Raison; William C Reeves; Christine Heim
Journal:  Psychosom Med       Date:  2009-05-04       Impact factor: 4.312

4.  Coping styles in people with chronic fatigue syndrome identified from the general population of Wichita, KS.

Authors:  Urs M Nater; Dieter Wagner; Laura Solomon; James F Jones; Elizabeth R Unger; Dimitris A Papanicolaou; William C Reeves; Christine Heim
Journal:  J Psychosom Res       Date:  2006-06       Impact factor: 3.006

5.  Defensive coping styles in chronic fatigue syndrome.

Authors:  C Creswell; T Chalder
Journal:  J Psychosom Res       Date:  2001-10       Impact factor: 3.006

6.  Personality features and personality disorders in chronic fatigue syndrome: a population-based study.

Authors:  Urs M Nater; James F Jones; Jin-Mann S Lin; Elizabeth Maloney; William C Reeves; Christine Heim
Journal:  Psychother Psychosom       Date:  2010-07-28       Impact factor: 17.659

7.  Is a full recovery possible after cognitive behavioural therapy for chronic fatigue syndrome?

Authors:  Hans Knoop; Gijs Bleijenberg; Marieke F M Gielissen; Jos W M van der Meer; Peter D White
Journal:  Psychother Psychosom       Date:  2007       Impact factor: 17.659

8.  The Multidimensional Fatigue Inventory (MFI) psychometric qualities of an instrument to assess fatigue.

Authors:  E M Smets; B Garssen; B Bonke; J C De Haes
Journal:  J Psychosom Res       Date:  1995-04       Impact factor: 3.006

9.  Prevalence of chronic fatigue syndrome in metropolitan, urban, and rural Georgia.

Authors:  William C Reeves; James F Jones; Elizabeth Maloney; Christine Heim; David C Hoaglin; Roumiana S Boneva; Marjorie Morrissey; Rebecca Devlin
Journal:  Popul Health Metr       Date:  2007-06-08

Review 10.  Identification of ambiguities in the 1994 chronic fatigue syndrome research case definition and recommendations for resolution.

Authors:  William C Reeves; Andrew Lloyd; Suzanne D Vernon; Nancy Klimas; Leonard A Jason; Gijs Bleijenberg; Birgitta Evengard; Peter D White; Rosane Nisenbaum; Elizabeth R Unger
Journal:  BMC Health Serv Res       Date:  2003-12-31       Impact factor: 2.655

  10 in total
  2 in total

Review 1.  Specifics of chronic fatigue syndrome coping strategies identified in a French flash survey during the COVID-19 containment.

Authors:  Florence Moncorps; Emmanuelle Jouet; Sabine Bayen; Isabelle Fornasieri; Sophie Renet; Olivier Las-Vergnas; Nassir Messaadi
Journal:  Health Soc Care Community       Date:  2021-04-06

2.  Patterns of control beliefs in chronic fatigue syndrome: results of a population-based survey.

Authors:  Johanna M Doerr; Daniela S Jopp; Michael Chajewski; Urs M Nater
Journal:  BMC Psychol       Date:  2017-03-06
  2 in total

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