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Table 1. 
Comorbidities in the Affected (Cases) and Unaffected (Controls) Subjects
Comorbidities in the Affected (Cases) and Unaffected (Controls) Subjects
Table 2. 
Associations Between CWP and Its Comorbidities
Associations Between CWP and Its Comorbidities
1.
Wolfe  FSmythe  HAYunus  MB  et al.  The American College of Rheumatology 1990 criteria for the classification of fibromyalgia: report of the Multicenter Criteria Committee.  Arthritis Rheum 1990;33160- 172PubMedGoogle ScholarCrossref
2.
Aaron  LABuchwald  D Chronic diffuse musculoskeletal pain, fibromyalgia and co-morbid unexplained clinical conditions.  Best Pract Res Clin Rheumatol 2003;17563- 574PubMedGoogle ScholarCrossref
3.
Bradley  LA Psychiatric comorbidity in fibromyalgia.  Curr Pain Headache Rep 2005;979- 86PubMedGoogle ScholarCrossref
4.
Raphael  KGJanal  MNNayak  SSchwartz  JEGallagher  RM Familial aggregation of depression in fibromyalgia: a community-based test of alternate hypotheses.  Pain 2004;110449- 460PubMedGoogle ScholarCrossref
5.
Wessely  SNimnuan  CSharpe  M Functional somatic syndromes: one or many?  Lancet 1999;354936- 939PubMedGoogle ScholarCrossref
6.
Sullivan  PFSmith  WBuchwald  D Latent class analysis of symptoms associated with chronic fatigue syndrome and fibromyalgia.  Psychol Med 2002;32881- 888PubMedGoogle ScholarCrossref
7.
Aaron  LAHerrell  RAshton  S  et al.  Comorbid clinical conditions in chronic fatigue: a co-twin control study.  J Gen Intern Med 2001;1624- 31PubMedGoogle Scholar
8.
Svedberg  PJohansson  SWallander  MAHamelin  BPedersen  NL Extra-intestinal manifestations associated with irritable bowel syndrome: a twin study.  Aliment Pharmacol Ther 2002;16975- 983PubMedGoogle ScholarCrossref
9.
Kato  KSullivan  PFEvengård  BPedersen  NL Importance of genetic influences on chronic widespread pain.  Arthritis Rheum 2006;541682- 1686PubMedGoogle ScholarCrossref
10.
Lichtenstein  PDe Faire  UFloderus  BSvartengren  MSvedberg  PPedersen  NL The Swedish Twin Registry: a unique resource for clinical, epidemiological and genetic studies.  J Intern Med 2002;252184- 205PubMedGoogle ScholarCrossref
11.
Fukuda  KStraus  SEHickie  ISharpe  MCDobbins  JGKomaroff  ALInternational Chronic Fatigue Syndrome Study Group, The chronic fatigue syndrome: a comprehensive approach to its definition and study.  Ann Intern Med 1994;121953- 959PubMedGoogle ScholarCrossref
12.
Evengård  BJacks  APedersen  NLSullivan  PF The epidemiology of chronic fatigue in the Swedish Twin Registry.  Psychol Med 2005;351317- 1326PubMedGoogle ScholarCrossref
13.
Svensson  DAWaldenlind  EEkbom  KPedersen  NL Heritability of migraine as a function of definition.  J Headache Pain 2004;5171- 176Google ScholarCrossref
14.
Headache Classification Committee of the International Headache Society, Classification and diagnostic criteria for headache disorders, cranial neuralgias and facial pain.  Cephalalgia 1988;8 ((suppl 7)) 1- 96PubMedGoogle ScholarCrossref
15.
Kessler  RCAndrews  GMroczek  DKUstun  BWittchen  H-U The World Health Organization Composite International Diagnostic Interview Short Form (CIDI-SF).  Int J Methods Psychiatr Res 1998;7171- 185Google ScholarCrossref
16.
First  MSpitzer  RGibbon  MWilliams  J Structured Clinical Interview for DSM-IV Axis I Disorders, Research Version, Patient Edition.  New York Biometrics Research, New York State Psychiatric Institute1997;
17.
Cameron  AJLagergren  JHenriksson  CNyren  OLocke  GR  IIIPedersen  NL Gastroesophageal reflux disease in monozygotic and dizygotic twins.  Gastroenterology 2002;12255- 59PubMedGoogle ScholarCrossref
18.
SAS Institute, The SAS System for Windows, Version 9.  Cary, NC SAS Institute2005;
19.
Bergman  SJacobsson  LTHerrstrom  PPetersson  IF Health status as measured by SF-36 reflects changes and predicts outcome in chronic musculoskeletal pain: a 3-year follow up study in the general population.  Pain 2004;108115- 123PubMedGoogle ScholarCrossref
20.
Jason  LATaylor  RRKennedy  CL Chronic fatigue syndrome, fibromyalgia, and multiple chemical sensitivities in a community-based sample of persons with chronic fatigue syndrome–like symptoms.  Psychosom Med 2000;62655- 663PubMedGoogle ScholarCrossref
21.
Arnold  LMHudson  JIHess  EV  et al.  Family study of fibromyalgia.  Arthritis Rheum 2004;50944- 952PubMedGoogle ScholarCrossref
22.
Kato  KSullivan  PFEvengård  BPedersen  NL Premorbid predictors of chronic fatigue.  Arch Gen Psychiatry In pressGoogle Scholar
23.
Wallace  DJLinker-Israeli  MHallegua  DSilverman  SSilver  DWeisman  MH Cytokines play an aetiopathogenetic role in fibromyalgia: a hypothesis and pilot study.  Rheumatology (Oxford) 2001;40743- 749PubMedGoogle ScholarCrossref
24.
Yunus  MBArslan  SAldag  JC Relationship between body mass index and fibromyalgia features.  Scand J Rheumatol 2002;3127- 31PubMedGoogle ScholarCrossref
25.
White  KPHarth  MSpeechley  MOstbye  T Testing an instrument to screen for fibromyalgia syndrome in general population studies: the London Fibromyalgia Epidemiology Study Screening Questionnaire.  J Rheumatol 1999;26880- 884PubMedGoogle Scholar
Original Investigation
August 14, 2006

Chronic Widespread Pain and Its Comorbidities: A Population-Based Study

Author Affiliations

Author Affiliations: Department of Medical Epidemiology and Biostatistics, Karolinska Institutet (Drs Kato, Sullivan, and Pedersen), and Department of Laboratory Medicine, Karolinska Institutet at Karolinska University Hospital Huddinge (Dr Evengård), Stockholm, Sweden; Departments of Genetics, Psychiatry, and Epidemiology, University of North Carolina at Chapel Hill (Dr Sullivan); and Department of Psychology, University of Southern California, Los Angeles (Dr Pedersen).

Arch Intern Med. 2006;166(15):1649-1654. doi:10.1001/archinte.166.15.1649
Abstract

Background  Chronic widespread pain (CWP), the cardinal symptom of fibromyalgia, is prevalent and co-occurs with numerous symptom-based conditions such as chronic fatigue syndrome, joint pain, headache, irritable bowel syndrome, and psychiatric disorders. Few studies have examined the comorbidities of CWP in the general population. Furthermore, little is known about the importance of familial (genetic and family environmental) factors in the etiology of co-occurrence.

Methods  Data were obtained from 44 897 individuals in the Swedish Twin Registry via computer-assisted telephone interview from 1998 through 2002 (age ≥42 years; 73.2% response rate). Screening for CWP was based on the American College of Rheumatology criteria without clinical evaluation. Measures for comorbidities were based on standard criteria when available. Odds ratios (ORs) were calculated in case-control and co-twin control designs to assess the effect of familial confounding in the associations.

Results  Considerable co-occurrences were found in CWP cases for chronic fatigue (OR, 23.53; 95% confidence interval [CI], 19.67-28.16), joint pain (OR, 7.41; 95% CI, 6.70-8.21), depressive symptoms (OR, 5.26; 95% CI, 4.75-5.82), and irritable bowel syndrome (OR, 5.17; 95% CI, 4.55-5.88). In co-twin control analyses, ORs were no longer significant for psychiatric disorders, whereas they decreased but remained significant for most other comorbidities. No changes in ORs were observed for headache.

Conclusions  Associations between CWP and most comorbidities are mediated by unmeasured genetic and family environmental factors in the general population. The extent of mediation via familial factors is likely to be disorder specific.

Fibromyalgia is a complex multifactorial disorder characterized by persistent widespread pain, tenderness, and abnormal pain sensitivity with unknown etiology.1 Patients with fibromyalgia tend to have other unexplained clinical conditions such as chronic fatigue syndrome (CFS), irritable bowel syndrome, temporomandibular joint syndrome, and multiple chemical sensitivities.2 In addition, it has often been reported that psychiatric disorders such as major depression and generalized anxiety disorder are prevalent among patients with fibromyalgia in clinical settings.3 Despite the relative abundance of fibromyalgia and its comorbid symptoms at clinics, a limited number of studies allow comparisons among a wide range of comorbidities of fibromyalgia or its cardinal symptom, chronic widespread pain (CWP), in general population samples. It is known that having 2 comorbid disorders can increase the likelihood of inclusion in a clinical sample, resulting in biases.

As yet, the etiology of overlapping symptoms in fibromyalgia or CWP and the comorbidities is largely unknown. Some argue that these medically unexplained syndromes should be viewed as a manifestation of psychogenic disorders,4 whereas others postulate that the associations reflect common etiologies that underlie the disorders.5,6 Although these studies suggest underlying mechanisms shared by those disorders, it remains unclear whether and to what extent the associations reflect confounding by genetic influences. Twin samples can be used for assessing those associations with control for genetic background and unmeasured family environment. To our knowledge, few studies have used twins to examine explicitly familial mediation of comorbidities. In 1 study,7 strong associations were found between fibromyalgia and chronic fatigue. A small study8 based on the Swedish Twin Registry did not find an association between fibromyalgia and irritable bowel syndrome. However, because of limited sample sizes, conclusions are limited.

In the present study, we used a considerably larger population-based sample with systematic criteria for screening a variety of disorders and health conditions that have frequently been reported to co-occur with CWP. Our first objective was to assess a wide range of comorbidities of CWP in a large community sample of nearly 45 000 individuals.9 The second objective was to evaluate the influences of unmeasured genetic and family environmental factors that confound the associations of comorbidities with CWP. To perform this study, we used a 2-stage approach that included a classic case-control design and co-twin control design. A change in the association between these 2 stages suggests genetic and family environmental confounding.

Methods
Subjects

Subjects were participants in the Swedish Twin Registry, which consists of all twin births in Sweden from 1886 to 2000, with data on place of birth, current vital status, and the addresses of more than 160 000 individuals.10 All living, contactable, and consenting twins born in Sweden before 1959 were interviewed via telephone from 1998 to 2002. Interviews were conducted by trained personnel with adequate medical background using a computer-based data collection system. All participants provided verbal informed consent during this telephone interview, which was later confirmed by postcard.

Zygosity was based on responses to questions regarding physical similarity in childhood. This method has been validated repeatedly as having 98% or higher accuracy by using DNA markers.10

Measures for cwp

The screening algorithm for CWP was based on the classification criteria for fibromyalgia proposed by the American College of Rheumatology,1 but differed in that our definition of CWP relied on self-reports without clinical examinations by physicians or inspections of medical records and that the count of tender points was not required. The stem question was, “Have you suffered from general pain during the last 3 months?” Interviewees who endorsed this item were then asked, “Did you have continuous pain during all 3 months?” Subjects who endorsed the second item were further asked, “Do you suffer from pain in both the upper and lower body?” and “Do you suffer from pain in both the right and left sides?” We also obtained information about axial skeletal pain by asking, “Have you had any back pain in the last 12 months?” Those who endorsed all 4 of these items were defined as CWP cases. Those who did not endorse the first or second question regarding general pain during the last 3 months were considered unaffected and were used as controls in the analyses. Further details concerning the sample and twin similarity for CWP are reported elsewhere.9

Measures for comorbidities

Each comorbidity was evaluated using diagnostic items specific to each disease domain, and standardized instruments were used when available. None of these are exclusionary for CWP. Screening for chronic fatigue was based on criteria that emulated the 1994 criteria for CFS11 and were only asked of twins born in 1935 or later (ie, aged <65 years at the time of the interview). The 2 definitions of chronic fatigue used in the present study (chronic impairing fatigue and CFS-like illness) correspond to “CF-B” and “CF-C” in our previous report.12 Information about possible rheumatoid arthritis was obtained from a single question regarding the presence or absence of current or past rheumatoid arthritis. Prolonged joint pain was considered present if its duration was more than 4 weeks at a time. Osteoarthritis was considered present if the subject was diagnosed by a physician as having it in a knee or a hip. Subjects who endorsed any of these items about pain (ie, possible rheumatoid arthritis, prolonged joint pain, and osteoarthritis) were considered to have joint pain. Migraine and tension-type headache were assessed for subjects younger than 65 years with an algorithm13 in line with the International Headache Society criteria.14 Depressive symptoms were assessed using the Iowa Short Form of the Center for Epidemiology Studies Depression Scale with 11 items, and a score of 9 or above was considered as the presence of depressive symptoms. Major depression and generalized anxiety disorder were assessed by using the Composite International Diagnostic Interview–Short Form adapted from its original design for 12-month prevalence to assess lifetime prevalence.15 Eating disorders were assessed for subjects younger than 65 years via questions based on the Structured Clinical Interview for DSM-IV.16 Irritable bowel syndrome8 and gastroesophageal reflux disease17 were defined using previously reported criteria. Prolonged cough was assessed if the subject reported having recurrent cough more than 3 successive months per year. Possible asthma was considered present if the subject reported diagnosis by a physician. Allergy was assessed if the subject affirmed any type of allergy given in a list (eg, eczema). The presence of urological diseases (renal disease and urinary tract problems) was based on questions about lifetime occurrence.

Furthermore, subjects were asked to rate their general health and categorized as having good to excellent health vs indifferent to bad health. Subjects were also categorized as reporting poorer vs the same or better health status than 5 years before the interview. When asked to report whether their health prevented activities, responses were categorized as “partially” or “to a great extent” vs “not at all.” The body mass index was calculated as the weight in kilograms divided by the square of height in meters. The cutoff points were 30 or higher for obesity and 25 or higher for overweight (http://www.cdc.gov/nccdphp/dnpa/obesity/defining.htm). Frequent infections were assessed if the subject usually had common colds or other infections more than twice per year. Subjects 55 years or older were asked how often during the past 6 months they were affected by waking up too early, feelings of not having had enough sleep on awakening, or feelings of having disturbed, uneasy sleep. Those who reported “usually” or “always” having any of the 3 problems were considered to have sleep problems.

Statistical analyses

We used generalized estimating equation (GEE) analyses to evaluate the association between CWP and comorbidities with commercially available software (PROC GENMOD in SAS, version 9).18 By using GEEs, we can account for the clustering or lack of independence of twins within a pair. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated with adjustment for age and sex. In co-twin control analyses, we selected monozygotic (MZ) or same-sex dizygotic (DZ) twin pairs who were discordant for both CWP and comorbidity status. Odds ratios and 95% CIs were obtained using a procedure in the statistical software (PROC LOGISTIC in SAS, version 9).18

If we find overlap in genetic effects for CWP and a comorbid disorder or symptom, the association could reflect confounding by genes. Using twins discordant for case status is more informative than using unrelated case-control samples because it allows matching for unmeasured familial factors that could be genetic or environmental. In particular, discordant MZ twins are ideal case-control pairs, with whom all genes and environmental effects in early life are shared. Thus, if the association found in GEE analyses decreases in co-twin analyses, this suggests familial confounding, and if the association further decreases when MZ twins are used, this suggests genetic confounding. In contrast, if a significant association remains when using MZ twins only, it means that the association reflects mechanisms other than genetic and family environmental effects.

Results

Of all 61 355 eligible individuals, 44 897 (73.2%) responded to the interview (33 190 pair-wise respondents and 11 707 single respondents). Of the complete pairs, 4310 pairs were MZ; 6137, same-sex DZ; 5980, opposite-sex DZ; and 168, of unknown zygosity. The mean ± SD age of the sample was 59.8 ± 11.1 years, and 53.5% were women. Of the 43 338 respondents who provided usable answers for the stem question, CWP was found in 1776 individuals (4.1%), and 81.7% were women. The mean age at onset of CWP was 45.7 years, and the median duration of having CWP was 10 years.

Table 1 shows the number of subjects with and without each comorbid illness or symptom in those who were affected (cases) and not affected (controls) with CWP. Nearly 60% of the cases reported that they had at least 1 of the manifestations of joint pain (ie, possible rheumatoid arthritis, prolonged joint pain, and osteoarthritis), compared with only 16.2% in the controls. More than 80% of the cases answered that their general health was poor and that their health condition prevented their activities, whereas only 26.7% and 26.4%, respectively, of the controls did so.

Table 2 shows ORs of having each comorbid illness or characteristic in cases relative to controls, by using (1) GEEs, (2) MZ and same-sex DZ co-twins, and (3) MZ co-twins. In GEEs, we found significant ORs for all of the comorbidities, of which chronic fatigue showed the highest. Odds ratios greater than 5 were also observed for poor self-rated health, “health prevents activities,” prolonged joint pain, possible rheumatoid arthritis, depressive symptoms, poorer health status compared with 5 years ago, and irritable bowel syndrome. The prevalences and ORs did not differ significantly when restricted to the pairs in which both members of the pair responded. When co-twin controls were used, ORs were reduced in almost all comorbidities and health conditions except migraine, tension-type headache, and frequent infections. Notable reductions from significant association in GEE to nonsignificance in co-twin control analyses were found for psychiatric disorders (major depression, generalized anxiety disorder, and eating disorders), prolonged cough, possible asthma, and overweight. The changes in the importance of these disorders and symptoms across the degree of adjustment suggest the presence of confounding from genetic and family environmental effects. Nevertheless, the ORs for most of the comorbidities were still significant in the analyses using MZ twins only, indicating that these comorbidities are not solely a function of genetic and family environmental mechanisms.

Comment

In the present study using a large population-based sample, we empirically confirmed clinical observations that considerable overlap exists between CWP and other symptom-based conditions such as chronic fatigue, irritable bowel syndrome, and psychiatric disorders. It has been unclear whether and to what extent familial factors mediate the association between CWP and its comorbidities. We demonstrated that most associations between these disorders are at least partly attributable to unmeasured genetic and family environmental factors. Associations of CWP with comorbidities such as psychiatric disorders appear to be explained entirely by those familial influences, whereas other disorders co-occur with CWP after such influences are taken into account. Our results lend support to previous community-based studies19 that show the substantial influence of fibromyalgia or CWP on individuals' health status and quality of life in the general population.

The CWP cases were more likely than controls to have chronic fatigue (21.6% vs 1.0% for CFS-like illness). The ORs increased from 10- to more than 20-fold as the case definition of chronic fatigue became more stringent. Our results are remarkably similar to those reported by Jason and colleagues20 on fibromyalgia and CFS (22.7%). In our analyses using affected twins and their unaffected co-twins, sizable reductions in the estimate of association were observed for both definitions of chronic fatigue. This supports the notion that CWP and chronic fatigue share considerable aspects of their pathogenetic pathways through genetic and family environmental mechanisms. However, the nearly 10-fold risk for comorbid CFS-like illness in discordant MZ twins indicates that nongenetic, nonfamilial pathological mechanisms are shared by CWP and chronic fatigue.

It is not surprising that strong associations were found between CWP and other pain-related disorders such as joint pain, headache, and irritable bowel syndrome. The decreased risk when genetic and family environmental factors were adjusted for suggests the importance of these factors as mediators of the comorbidities. In contrast, it is rather puzzling that migraine and tension-type headache did not decrease in ORs as the degree of adjustment for familial factors increased, indicating mechanisms of association not attributable to genetic variants. The comorbidities may nevertheless reflect a common pathophysiology mediated via exogenous factors such as stress.

The associations between CWP and most psychiatric disorders essentially disappeared in the MZ case-control analyses, indicating the role of genetic factors. Arnold and colleagues21 found indirect evidence that genetic factors may be involved in the co-occurrence of mood disorders and fibromyalgia. Our results clearly indicate that not only major depression but also generalized anxiety disorder and eating disorders co-occur with CWP largely owing to genetic factors in common. Using the same sample as in this study, we recently found that the association between emotional instability and chronic fatigue was entirely mediated by familial factors.22 Genetic susceptibility to emotional instability may therefore play an etiological role in the links among psychiatric disorders, CWP, and chronic fatigue.

Genetic mediation was also evident for prolonged cough, possible asthma, and overweight (defined as having a body mass index of ≥25). Autonomic dysfunction and/or cytokine abnormalities may serve as the underlying pathogenesis in the association between asthma or prolonged cough and CWP.23 Although the co-occurrence of CWP and higher body mass index is usually understood as the consequence of physical inactivity,24 the present results implicate genetic mechanisms that influence both CWP and obesity.

Collectively, our findings indicate significant overlaps in underlying mechanisms between CWP and many of the comorbidities investigated. However, it is unlikely that the co-existence of CWP, chronic fatigue, headache, and psychiatric disorders merely reflects different manifestations of a single disorder, in that the extent to which genetic influences mediate these associations ranges from negligible (headache) to exhaustive (psychiatric disorders). Further investigations with genetically informative samples are therefore warranted to distinguish, for example, a group of disorders that share genetic susceptibility from a group of disorders that share environmental risk factors. Moreover, given that most of the cases with CWP and those with most of the comorbidities were women, a search for sex-specific mechanisms would also be warranted.

A notable strength of this study is that the participants can be considered a representative sample of the entire population of Sweden,10 and that the screening interviews were conducted in a blinded manner, ie, without prior knowledge about the health condition of each individual. Moreover, the number of participants was large enough to examine even relatively minor comorbidities of CWP (eg, frequent infections) with sufficient statistical power. Another major strength is that our study is based on a genetically informative sample, which permits controlling for influences of genes and family environment that are not measured directly.

Some limitations should be noted. First, the screening used in this study did not include clinical evaluation, which is required in the American College of Rheumatology criteria for fibromyalgia. Thus, inferences should be tempered when our findings are compared with those of studies based on clinical evaluation. However, questionnaire- or interview-based screening has been suggested as useful in general population surveys, with relatively high positive predictive value and test-retest reliability.25 Second, the information about axial skeletal pain is based on back pain during the 12 months before the interview. We might have misclassified cases who did not have back pain for 3 consecutive months. However, we might have missed potential cases who actually had axial pain in another part of the body (eg, cervical spine) as well as generalized pain. Third, classification criteria used for screening the comorbidities depended on self-report, without validation by medical records. The information about some diseases was obtained from a single yes/no question, without asking whether they were diagnosed by a physician. However, most of the comorbidities were evaluated using standardized algorithms, such as the Composite International Diagnostic Interview–Short Form for major depression and generalized anxiety disorder. Finally, CWP had to be present at the time of the interview, whereas some of the comorbidities were diagnosed as lifetime occurrence. Thus, temporal order is unclear.

In conclusion, the present study demonstrated that, in the general population, CWP was significantly associated with comorbidities that are frequently observed in clinical settings. In addition, we found that those associations were partly or entirely mediated by unmeasured genetic and family environmental factors. Furthermore, the extent to which the associations were explained by these influences was specific to each disorder. We believe that our findings provide some evidence for better understanding of the mechanisms of CWP and its comorbidities.

Correspondence: Kenji Kato, PhD, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden (Kenji.Kato@ki.se).

Accepted for Publication: May 18, 2006.

Author Contributions: Dr Pedersen had full access to the data and takes responsibility for the integrity of the data and the accuracy of analysis.

Financial Disclosure: None reported.

Funding/Support: This study was supported by grants NS-041483 (Dr Pedersen) and AI-056014 (Dr Sullivan) from the National Institutes of Health. The Swedish Twin Registry is supported by grants from the Swedish Department of Higher Education and the Swedish Scientific Council and an unrestricted grant from AstraZeneca.

Role of the Sponsor: None of the sponsors had a role in the design and conduct of the study; the collection, management, analysis, and interpretation of the data; or the preparation, review, or approval of the manuscript.

References
1.
Wolfe  FSmythe  HAYunus  MB  et al.  The American College of Rheumatology 1990 criteria for the classification of fibromyalgia: report of the Multicenter Criteria Committee.  Arthritis Rheum 1990;33160- 172PubMedGoogle ScholarCrossref
2.
Aaron  LABuchwald  D Chronic diffuse musculoskeletal pain, fibromyalgia and co-morbid unexplained clinical conditions.  Best Pract Res Clin Rheumatol 2003;17563- 574PubMedGoogle ScholarCrossref
3.
Bradley  LA Psychiatric comorbidity in fibromyalgia.  Curr Pain Headache Rep 2005;979- 86PubMedGoogle ScholarCrossref
4.
Raphael  KGJanal  MNNayak  SSchwartz  JEGallagher  RM Familial aggregation of depression in fibromyalgia: a community-based test of alternate hypotheses.  Pain 2004;110449- 460PubMedGoogle ScholarCrossref
5.
Wessely  SNimnuan  CSharpe  M Functional somatic syndromes: one or many?  Lancet 1999;354936- 939PubMedGoogle ScholarCrossref
6.
Sullivan  PFSmith  WBuchwald  D Latent class analysis of symptoms associated with chronic fatigue syndrome and fibromyalgia.  Psychol Med 2002;32881- 888PubMedGoogle ScholarCrossref
7.
Aaron  LAHerrell  RAshton  S  et al.  Comorbid clinical conditions in chronic fatigue: a co-twin control study.  J Gen Intern Med 2001;1624- 31PubMedGoogle Scholar
8.
Svedberg  PJohansson  SWallander  MAHamelin  BPedersen  NL Extra-intestinal manifestations associated with irritable bowel syndrome: a twin study.  Aliment Pharmacol Ther 2002;16975- 983PubMedGoogle ScholarCrossref
9.
Kato  KSullivan  PFEvengård  BPedersen  NL Importance of genetic influences on chronic widespread pain.  Arthritis Rheum 2006;541682- 1686PubMedGoogle ScholarCrossref
10.
Lichtenstein  PDe Faire  UFloderus  BSvartengren  MSvedberg  PPedersen  NL The Swedish Twin Registry: a unique resource for clinical, epidemiological and genetic studies.  J Intern Med 2002;252184- 205PubMedGoogle ScholarCrossref
11.
Fukuda  KStraus  SEHickie  ISharpe  MCDobbins  JGKomaroff  ALInternational Chronic Fatigue Syndrome Study Group, The chronic fatigue syndrome: a comprehensive approach to its definition and study.  Ann Intern Med 1994;121953- 959PubMedGoogle ScholarCrossref
12.
Evengård  BJacks  APedersen  NLSullivan  PF The epidemiology of chronic fatigue in the Swedish Twin Registry.  Psychol Med 2005;351317- 1326PubMedGoogle ScholarCrossref
13.
Svensson  DAWaldenlind  EEkbom  KPedersen  NL Heritability of migraine as a function of definition.  J Headache Pain 2004;5171- 176Google ScholarCrossref
14.
Headache Classification Committee of the International Headache Society, Classification and diagnostic criteria for headache disorders, cranial neuralgias and facial pain.  Cephalalgia 1988;8 ((suppl 7)) 1- 96PubMedGoogle ScholarCrossref
15.
Kessler  RCAndrews  GMroczek  DKUstun  BWittchen  H-U The World Health Organization Composite International Diagnostic Interview Short Form (CIDI-SF).  Int J Methods Psychiatr Res 1998;7171- 185Google ScholarCrossref
16.
First  MSpitzer  RGibbon  MWilliams  J Structured Clinical Interview for DSM-IV Axis I Disorders, Research Version, Patient Edition.  New York Biometrics Research, New York State Psychiatric Institute1997;
17.
Cameron  AJLagergren  JHenriksson  CNyren  OLocke  GR  IIIPedersen  NL Gastroesophageal reflux disease in monozygotic and dizygotic twins.  Gastroenterology 2002;12255- 59PubMedGoogle ScholarCrossref
18.
SAS Institute, The SAS System for Windows, Version 9.  Cary, NC SAS Institute2005;
19.
Bergman  SJacobsson  LTHerrstrom  PPetersson  IF Health status as measured by SF-36 reflects changes and predicts outcome in chronic musculoskeletal pain: a 3-year follow up study in the general population.  Pain 2004;108115- 123PubMedGoogle ScholarCrossref
20.
Jason  LATaylor  RRKennedy  CL Chronic fatigue syndrome, fibromyalgia, and multiple chemical sensitivities in a community-based sample of persons with chronic fatigue syndrome–like symptoms.  Psychosom Med 2000;62655- 663PubMedGoogle ScholarCrossref
21.
Arnold  LMHudson  JIHess  EV  et al.  Family study of fibromyalgia.  Arthritis Rheum 2004;50944- 952PubMedGoogle ScholarCrossref
22.
Kato  KSullivan  PFEvengård  BPedersen  NL Premorbid predictors of chronic fatigue.  Arch Gen Psychiatry In pressGoogle Scholar
23.
Wallace  DJLinker-Israeli  MHallegua  DSilverman  SSilver  DWeisman  MH Cytokines play an aetiopathogenetic role in fibromyalgia: a hypothesis and pilot study.  Rheumatology (Oxford) 2001;40743- 749PubMedGoogle ScholarCrossref
24.
Yunus  MBArslan  SAldag  JC Relationship between body mass index and fibromyalgia features.  Scand J Rheumatol 2002;3127- 31PubMedGoogle ScholarCrossref
25.
White  KPHarth  MSpeechley  MOstbye  T Testing an instrument to screen for fibromyalgia syndrome in general population studies: the London Fibromyalgia Epidemiology Study Screening Questionnaire.  J Rheumatol 1999;26880- 884PubMedGoogle Scholar
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