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Cognitive Factors in the Maintenance of Chronic Fatigue Syndrome
Rona Elizabeth Moss-Morris
A
thesissubmitted in partiat fulfilment
ofthe requirements for the
degree ofDoctor in Philosophy
in
theDepartment of Prychiatry
andBehavioural
ScienceFaculty
ofMedicine
andHealth
ScienceThe University
ofAuckland
October
1997Abstract
Chronic Fatigue Syndrome (CFS) is an illness characterized by persistent debilitating fatigue
of
uncertainorigrn.
Precipitating and perpetuating factors of this illness are thought to be distinct and the aim qf thig thesis was to gain greater insight into the role of cognitive factors which may maintain the condition. This work was guided bytwo
central frameworks, the self-regulatory modelof
illness representations and the cognitive tar<onomyofpsychopathology.
These were used to define the different cognitive constmcts and to investigate the way they function as a system to maintain pathological schema anddisability in
CFS.Three studies using different methodologies were conducted to test the hypotheses. The
first
employed a descriptive comparative design to ascertain whether CFS patients have unique cognitions which contribute to their disability over time. The sample was comprisedof
CFS patientswithout
depression(n:39),
CFS patientswith
a concurrent diagnosis of depression(n:14),
patientswith a
primary diagnosis of depression(n:20);
and healthy controls(n:38).
The groups were matchedin
aggregatefor
age, gender, race,ard education.
Subjects completed the Cognitive Errors Questionnaire-Revised,which
measures cognitive distortions relevant to both general and somatic events, and the Illness Perception Questionnaire,which
measures thefive
dimensionsof
the illness representationin
corljunctionwith
other standard measures.Between-group analyses
confirmed that
the depressed group was distinguishedby
alow
self-esteem, feelings ofguilt
and self-recriminations, the propensity to make cognitive distortions acrossall
situations, andto
attributetheir
illnessto
internal, stable andglobal factors. ln
contrast, the CFS patients were characterized by low ratings of their current health status, a skong illness identity, external attributionsfor
their illness, and distortion in thinking that were specific to somatic experiences. CFS depressed patients had
lower
self-esteem than non-depressed patients and had the most pessimistic illnessbeliefs. A
sixmonth follow-up
showedthat CFS patients' cognitive
structuresand level of disability
remained rernarkably stable. Illness identity, serious consequences, somatic errors, andlimiting
coping accounted for a substantial proportion of the variancein
CFS patiants'disability
scores overtime.
These results are discussed in terms of their support for both of the cognitive models. CFS patients appeared to have distinct cognitionswhich
were associatedwith
ongoing disability.I
The subsequent
two
quasi-experimental studies were conducted.in
a single laboratory session. Thefirst
of
these used standardized neuropsychological teststo
determinewhether psychological
variables,particularly
somatic focus, interferewith
CFS patients' performance onhigh
load atte,ntiontasks.
The discrepancy between CFSpatients'
subjective reportsof
concenhation andmemory difficulties
and objective evidence of these deficits was also investigated. The subjects included 25 CFS patients matchedfor
age, gender, and intelligencewith two
groups of healthycontrols.
Oneof
these groups underwent a somatic induction procedtue as part of the investigation of the effects of somatic preoccupation on attentiontasks.
The tests included the verbal memory subscales from the Wechsler Mernory Scale-Revised and the PacedAuditory
SerialAddition
Task(PASAT),
a measure of divided attention and speedof information
processing. The analyses of the induction data failed to support thevalidity
of this procedure resultingin
the somatic control
goup
being dropped from the analysis. Consistent with previous studies theprincipal
deficit in the CFS group appeared to be on thePASAT.
The CFS group appeared to be less accurate than healthy controls in their appraisal of their performance, which were related to negative mood rather than objective performance. Depression was also related to high performance expectations in the CFSSoup, but not
thecontrols.
The resultsdid not
support theoriginal
assumptionthat
somatic preoccupation conhibutesto
neuropsychologicaldifficulties in CFS.
However,mood
factors wereclearly
shown to impact on both the objective and subjective experience of symptoms.The aim of the final study was to investigate the concordance between the self-report data collected in study one and information processing biases in
CFS.
Comparisons of the CFS patients and healthycontols
ona modified Stroop attention task and a self-schema memory task, found no evidence
of
an illness-related biasin
CFS patients' processingof information.
Rather, they demonstrated a significant tgndency to be distracted by and remember depressed-relevant stimuli. The exception was theirpropensity to make somatic interpretations. These results are discussed in terms of the defensiveness hlpothesis, which proposes that CFS patients' negative, external illness perceptions and somatic distortions may act as a defence againstunderlying
feelingsof low
self-esteem. The complex natureof
CFS patients' cognitive structures was revealed and the need to use mquures which do not rely on self-reports was clearly demonshated. These studies provided further supportfor
the central roleof
cognitive factors and mood in perpetuating CFS.Acknowledgements
The support and guidance
from my
primary supervisor, Assoc ProfKeith Petie,
is acknowledgedwith gratitude. You
have beenan inspiration, Keith, in inhoducing me to the
fascinatingfield of
health psychology and the stimulating people whowork
in the area. You have been instrumentalin
opening up new and exciting career pathways and have made the process a lot more fun thatit might
havebeen. My
second supervisor, Assoc Prof Robert Large, also provided valuable guidance and comments in the early stages of this thesis.
Sincere thanks to all the people who gave up their precious time to participate as subjects in these studies.
Without
your participation this researchwould
not have beenpossible. A
special acknowledgement to thoseof
youwith
CFS and depression, who despite your conditions, showed interest in the research and gave generouslyof
your time.Dr Rosamund
Vallings'
support of this research and assistance in recruiting subjects wasinvaluable.
Ros, your dedication to the CFS cause is astounding, as is your tremendous enerry in accomplishing all you do.A
number of others made a big effort to helpwith
the recruihnent process, includingVal Sutcliffe,
Sarah Turbott, Simon Hatcher, andCindy Wharton. Your
assistance was very much appreciated.To
my husband, Grant, a huge thank you for your endless support, unselfishness, and helpwith
various tasks over this period. Thank you for putting upwith
an impoverishedwife
for all these years and for never making demands of my time when the going got tough.Your
belief in me and encouragement has been a great strength and has fuelledmy
determination to pursue these academic goals.To my
proof readers,Val Sutcliffe,
Robin Mackay, Denise Reynolds,Toni
Cathie, and Barbara Herbst, your "eagle eyes" and talent for spottingerors
has been a godsend to me.I
am immensely gratefulfor
the amount of time you have spent on this extremely tedious task and your amazing willingness to doso.
To MaynardWilliams,
Elizabeth Robinson, andDr
Linda Cameron, who provided statistical adviceduring
times of crisis, thank you for your expertise, your time, and hemendous patience. I would also like to thankProf
Jamie Pennebaker,Prof
Simon Wessely,Dr Michael
Sharpe, andDr
PeterWhite who
generously shared their expert knowledge and their latest trnpublished work.To the
"A"
teamin office 3594,
Trecia Wouldes and DeannaBuiclq
thank goodness for youguys! You
have kept me sane throughout this time andI
could not have asked for better office mates.It
certainly haslu
made the prooess awhole
lotmsre futr I d
also very gnrtefrrl to Prof. Robert Kyddforproviding
mewith
laboratory- space and for his support as head of
departnent.
Iobn W,sst, Rndy MelsF.r aud Derrick Brrnn provided theirinv,aluable se,lvices fur setdng up the laborafio.ry:Finatly" I
wi$
to acknowledge tho generous financial srrpport I roceiv,edft@
tho HealthRsearch Cqtncil.
It
has'bwn a privitese to bo able to de,eote thistine
te etudy and to have had theopputunity
to prreocutnry work
overseas.IY
Table of Contents
Abstract .... i
Acknowledgements .... iti Tableof
Contents.... ... v
ListofTables.. ... vtii ListofFigures... ...x
ListofAbbreviations ... xi
SECTION
1 :INTRODUCTION
1.Introduction to Chronic
tr'atigueSyndrome ..
. . ... . I HistoricalPerspective ...1
OverlappingSyndromes... ...11
Epidemiolory... ....13
Biomedical Investigations
ofChronic
FatigueSyndrome
. . .'. .
18ViralFindings ...18
ImmunologicalFindings... ....21
CentralNervous
SystemFindings ...26
Muscle, Cardiovascular, and Respiratory
Abnormalities
. ..
32Allergy,Diets,andPollutants ....35
The Latest "Diagnostic"
Test
. ..
36Conclusions.... ....37
Psychological and Social
Investigations
ofChronic
FatigueSyndrome
. . . ..
39SocioculturalFactorsinCbronicFatigueSyndrome ...39
ChronicFatigueSyndromeandDiagnosedPsychiatricDisorder ... M PersonalityandCFS ...54
ChronicFatigueSyndromeandStress ...57
PsychiatricDisorder,PersistentDisability,andSynptomExperienceinCFS...53
Conclusions... ...59
Neuropsychological
Studies ofChronic
FatigueSyndrome ..
... 6l
Objective Neuropsychological Deficitsin
Chronic FatigueSyndrome
. .. 6l
NeuropsychologicalPerformanceandOrganicFactors ...69
NeuropsychologicalPerformanceandPsychologicalFactors ...71
Conclusions
andFutureDirections ...75
Cognitive Behavioural Models
ofChronic
FatigueSyndrome ...77 CognitiveBehaviouralModelsofCFS ...77
The Self-Regulatory Model of Illness Representations
.
. . ..
87 Cognitive Distortions and Chronic FatigueSyndrome
. . . ..
92CognitiveModelsofPsychopathology ...95
SummaryandConclusions ....103
Hypotheses
Formulation . .. ....
106Summary of the
Aetiological
Factorsin CFS
. . . ..
106Rationale for the Current
Research
. . ..
109Study 1: Cognitive Styles
in
Chronic Fatigue Syndrome andDepression
. . .. Il2
Study 2: Information Processing Biases
in
Chronic FatigueSyndrome
. . . . ..
115Study 3: Psychological Factors and Neuropsychological Performance
in CFS
. . . ..
I 15SECTION 2: COGNITIVE STYLES STUDY
7.
Methodology for Cognitive
Stylesin Chronic
FatigueSyndrome
andDepression
. ... , ll7
Subjects ... ll7
Measures ....l2l
Procedure ....128
Results
for Cognitive
Stylesin Chronic
FatigueSyndrome
andDepression . .... ll7
Between-GroupHypotheses ....129
Within-GroupHypotheses. ...149
Discussion
for Cognitive
Stylesin Chronic
FatigueSyndrome
andDepression ...
. . ..
155 Comparisons between Chronic Fatigue Syndrome and PrimaryDepression
..
155Summary and Practical
Implications
..
164LimitationsandFutureDirections ...167
SECTION 3: THE LABORATORY
STIJDTES10. Methodology for
theLaboratory
Studies 8.9.
Subjects
Measures for the Neuropsychological Study Procedure for the Neuropsychological Study Measures for the Information Processing Study Procedure
for
the Information Processing Studyr69
169r7l
178 180 185
vl
11.
t2
Results
for
theLaboratory Studies
. ..
169Psychological Factors and Neuropsychological Performance
in CFS
. ..
186lnformationProcessingStudy ...208
Discussion
for
theLaboratory Studies ..
....222
Psychological Factors and Neuropsychological Performance
in CFS
. . . 222lnformation Processing
Study
. ..238
Conclusions.... ...247
REFERENCES. ...
250APPENDICES . ..,..286
A.
Neuropsychological deficits in chronic fatigue syndrome:Artifact
orreality?
. . ..
286B.
Details of the power analysis for the study on cognitive stylesin
CFS and depression289C.
Subject information sheet and consent form for CFS patients participating in the study on cognitive stylesin
CFS and depression.
. . ..
291lnterview
sheet based on CDC research criteria forCFS . 294
Subject infomration sheet and consent form for healthy controls participating in the study on cognitive styles
in
CFS anddepression
. ..
296CognitiveStylesQuestionnaire... ....299
Cognitive distortions of somatic experiences: Revision and validation
of
a measure.
315 Covering letter for the 6 monthfollow-up questionnaire
..
329Reminder letter for the 6 month
follow-up questionnaire
..
330Details of the power analysis for the laboratory
studies
. ..
331Subject information
sheet, consentform and symptom checklist for CFS
subjectsparticipating in the laboratory
studies
..
332Subject information
sheet and consentfonn for healthy controls participating in
thelaboratorystudies ..335
Pre-LaboratoryQuestionnaire. ...337 LaboratoryQuestiorrnaire ...
341Batteryofneuropsychologicaltests. ...343 Somaticinductionactivity ...352
ModifiedCFSStroopTask. ....353
Neuhal and somatic responses to the ambiguous word cues across subject
groups
..
358 D.E.
F.
G.
H
I
J.
K.
L
M.
N.
o.
P.
a.
R.
vtt
8.1 8.2 8.3 8.4 8.5 8.6
1.1
3.1 4.1 7.1 7.2
8.9 8.10
10.1
10.2 10.3 10.4 10.5
ll,l
List of Tables
The 1994 CDC criteria for Diagnosing CFS
Questionnaire
. . .. l0
Studies of Psychiatric Disorder in Chronic Fatigue
Syndrome
. . ..
46Neuropsychological
StudiesinChronicFatigueSyndrome ...
62Demographic Characteristics
of
Subject Groups Included in the Cognitive StylesStudy
. ..
119 Current and Past Diagnoses of Depression and Antidepressant Medication across Illness Groups120 Analysis of Variance
of
Self-Focusing, Symptom-Focusing, andLimiting Coping
. ..
136 Analysisof
Variance of the IPQ ClusterDimensions
. . ..
139Patterns
of
Symptom Endorsement across the IllnessGroups
. . . ..
140Univariate effects of IPQ Cluster Membership and Age on the SIP
Subscales
.. l4l
AnalysisofVarianceoftheAttributionalClusterDimensions .... ...
145Univariate effects of
Attributional
Cluster Membership on Self-esteem and theBDI
Subscales 148 Spearman Correlations between the Causal Factors and both Self-Esteem and theBDI
Subscales..
148Correlations between the IPQ Variables, Somatic Focus, Somatic Cognitive Errors and
Limiting
Coping ..149
Test-RetestCorrelations
forthelllness-RelatedCognitiveVariables andDisability ...
150Results ofHierarchical Multiple Regressions of Cognitive Factors on CFS-Related Disability,
Well-
Being,andFatigue.... ...152
Demographic Characteristics
of
Subject Groups Included in the LaboratoryStudies
..
170Words Selected for the CFS Shoop
Task
. . . ..
181Categories
of
Self-Referent Adjectives Included in the Self-SchemaTask
. . ..
183WordsincludedintheAmbiguousCuesTask. ...
184Summary of the Somatic and Neutral Responses to the Ambiguous Word Cues
.
. . ..
185Laboratory Symptom and Mood Reports in the Healthy and Somatic Control Groups,
Controlling
forBaselineMeasures ....187
8.7
lI.2 NART Enor
andIQ
Scoresin
CFS and Healthy ControlsGroups
. . ..
18911.3
Time of Day of Testingin
CFS and Healthy ControlsGroups
. . ..
189ll.4
Medication usein
CFS and Healthy ControlGroups
. . . . ..
190I1.5
Univariate Effectsof
Group Membership on CFS-related Symptoms,Arxieff,
and Depressionv|lr
190
11.6
CorrelationMahix
of the Variables from the Pre-laboratoryQuestionnaire
. . ..
191lI.7
Univariate Effects of Group Membership on Laboratory Symptom and MoodReports
. . ..
193I1.8
Univariate Effectsof
Group Membership on the PhysiologicalVariables
. ..
..
19611.9
CorrelationMatrix
of the Variables from the LaboratoryQuestionnaire
. . ..
19611.10
Univariate Effects of Group Membership and the Covariates on Memory Test Scoresin
CFS andHealthyControlgroups ....198
I I . I
I
Medication use and Neuropsychological Performancein CFS
. . ..
199ll.l2
Correlations between the PreJaboratory Variables and Neuropsychological Performance in CFS 200 I I .l3
Correlations between the Laboratory Variables and Neuropsychological Performancein
CFS andHealthyControlGroups ....202
I
l.l4
Results of theMultiple
Regression on CFS Patients'PASAT scores
. . ..
20311.15 Correlations Between CFS Patients'
SubjectiveAppraisals of Cognitive Difficulty and
theLaboratoryVariables ...204
Results
ofMultiple
Regressions on CFS Patients' Subjective Appraisals of CognitiveDifficulty
andPerformance... ....205
Results of Multiple
Regressionson Healthy Controls' Subjective Appraisal of
CognitivePerformance... ...206
T-tests
of
CFS relatedDisability
and NeuropsychologicalPerformance
. ..
. ..207
11.16
rt.t7
I 1.18 I 1.19 11.20
1,1.21
tL.22
11.23 11.24tt.25 tl.26 tr.27
11.28
tr.29
Correlations between the Self-Schema Variables, the Demographic Factors and
NA
Simple Effects Analysisof
Group for each levelof
Self-Descriptive Adjective-TypeSimple Effects Analysis
of
Adjective-TypeHolding
Subject GroupConstant
. . ..
211Simple Effects Analysis of Group
for
each Level ofRecall
. . ..
213Simple Effects Analysis of Recall
Holding
Subject GroupConstant
. . ..
213Correlations between the Self-Schema Variables, and Symptom and Mood Reports
in
CFS.
215 Correlations between theModified
Stroop Variables, the Demographic Factors andMood .
216 Simple Effects Analysis of Group for each level of DepressiveStimuli
..218
Simple Effects Analysis of Depressive Interference,
Holding
Subject Group Constant . . . ..
218 Correlations between Stroop Interference, and Symptom and Mood Reportsin CFS
. . ..
220 Correlations between the Somatic Bias Variables, the Demographic Factors, andNA
. . . ..
220ix
List of Figures
6.1.
Summary of the possible aetiological factorsin CFS
. . ..
1076.2.
Taxonomy of the cognitive mechanisms in the maintenance of chronic fatiguesyndrome
..
1116.3.
Outline of the research hlpothesesfor
each study based on the cognitivetaxonomy
..
I 138.1
Dimensionsofpsychological
well-being acrossgroups
1308.2 BDlsubscalesacrossgroups ...132 8.3
Sellesteem and self-rated health ircrossgroups
. . . ..
1338.4
Cognitiveerors
acrossgroups
. . ..
1348.5
Illness Perception Questionnaire (IPQ)clusters
. . . ..
1388.6 ComparisonofillnessgroupsacrosslPQclusters.... ...
1398.7
Causal beliefsin
CFS and depressedgroups
. ..
1438.8 Attributionalclusters ...L44
8.9
Comparison of illness groups across the attributionalclusters
. . .. I45 l1.l
Changesin
moodin
somatic and healthy control grcups during the laboratory procedure . ..
188ll.2
Changes in somatic symptoms in CFS and healthycontol
groups during the laboratory procedure 19411.3
Changes in moodin
CFS and healthy control groupsduring
the laboratory procedure . . . ..
195Il.4
Self-descriptive adjectives in the healthy control and CFSgroups
. . ..
210I1.5
Recall of adjectivesin
the healthy control and CFSgroups
. . .. 212
I1.6
Predicted recall of negative adjectives based on the group membership byNA interaction
..
214ll.7
Predicted recall of postive adjectives based on the group membership byNA
interaction . .. 214
11.8
Time taken to colour name the Stroop variables in the healthy control and CFSgroups
. . . . 217 Il.9
Mean scoresfor
interference in colour naming as a functionof
stimulusmaterial
. ..
21911,10
Somaticbiasscoresacrossgroups ...221
List of Abbreviations
ACTH
adrenocorticotropic homroneAVP
arginine vasopressinANOVA
analysis of varianceANCOVA
analysis of covarianceBDI
Beck Depression InventoryBDV
Borna disease virusBP
blood pressureCANTAB
Canrbridge Automated Neuropsychological Test BatteryCATEGO
Computerized Diagnostic System for ICD-9 DiagnosesCBT
cognitive behavioural therapyCDC
Centers for Disease Confrol and PreventionCEQ-R
Cognitive Error Questionnaire RevisedCF
chronic fatigueCFIDS
chronic fatigue immune dysfunction syndromeCFS
chronic fatigue syndromeComposite Intemational Diagnostic Interview cytomegalovirus
cenhal nervous system
CRH
corticotrophin-releasing hormoneCVLT
California Verbal Learning TestDBP
diastolic blood pressureDTH
delayed-typehlpersensitivity
DIS
Diagnostic Interview ScheduleDSM
Diagnostic and Statistical Manual of Mental DisordersDTH
delayed-type hypersensitivityDV
dependent variableEBV
Epstein-Barr virusERPs
event-related potentialsGAD
generalized anxiety disorderGP
general practitionerHAD
The HospitalAnxiety
and Depression InventoryHHV6
human herpesvirus 6CIDI CMV
CNS
IIPA
hlpothalamic-pituitary-adrenalIIR
Heart rateIBQ
Illness Behaviour QuestionnaireICD
International Classification of DiseasesIPQ
Illness Perception QuestionnaireIV
independent variableMANOVA multiple
analysis of varianceMANCOVA multiple
analysis of covarianceMCS multiple
chemical sensitivitiesME
myalgic encephalomyelitisMHI-5
Five Item Mental Health ScaleMI
myocardial infarctionMMPI
Minnesota Multiphasic Personality InventoryMRI
nuclear magnetic resonance imagingMS multiple
sclerosisNA
negative affectNART
NationalAdult
Reading TestNK
naturalkiller
PA
positive affectPANAS
Positive and NegativeAffect
SchedulePASAT
PacedAuditory
SerialAddition
TestPSE
Present State ExaminationPIFS
post-infectious fatigue syndromeRA
rheumatoidarttritis
RCIS
RevisedClinical
Interview ScheduleRDC
Research Diagnostic CriteriaSAD
seasonal affective disorderSADS
Schedule forAffective
Disorders and SchizophreniaSAT
Verbal Scholastic Aptitude TestSBP
systolic blood pressureSCID-P
StructuredClinical
Interview (psychiatric patient version)SCAN
Schedules forClinical
AssessmentofNeuropsychiatry
SIP
Sickness ImpactProfile
SPECT
single-photon-emission-computed tomographic scanning xllSTAI StateTraitAfixietylnventory
TukeyIISD
Tukey,honestlysignificarit.diffwnce
US
United StatesIIP'A
Verbal pair,€d assooiatesWAIS
Wechsler adult intelligence qaaloWAIS-R
Wechsler adult intelligence scalerwised
Un![S
Vrlechslermunorysoalo$1ffi$.R
trMeohslermennorysaalerevisd
,ilu