Co-morbidity and physician use in fibromyalgia.
OBJECTIVE
To describe comorbidity in women with FM, and to examine the effects of different types of comorbidity on physician use.


METHODS
Women (n = 180) with primary FM were evaluated at baseline and 6 months later for self-reported health resource use and covariates. Reported comorbidity was classified into 4 categories: medical, psychiatric, "functional", and unknown. The category for "functional" conditions included disorders that have been classified by previous authors as medically unexplained symptoms such as the irritable bowel and chronic fatigue syndromes. Logistic regression models were developed to examine associations between types of comorbidity and physician use.


RESULTS
Comorbid conditions were reported by over 90% of the sample. Total number of comorbid complaints was associated with high number of physician visits. In logistic regression models (controlling for age, ethnicity, education, disability, pain, and psychological vulnerability) medical comorbidity was a much stronger determinant of high number of physician visits than was "functional" comorbidity.


CONCLUSIONS
Comorbidity with other disorders, both functional and medical, was high in this sample. Medical and psychiatric comorbidity were stronger determinants of high physician use than "functional" comorbidity.
Bernatsky
S
S
Division of Clinical Epidemiology, McGill University Health Center, Montreal, Quebec, Canada.
Dobkin
P L
PL
De Civita
M
M
Penrod
J R
JR
D002170:Canada / Q000453:epidemiology; D002318:Cardiovascular Diseases / Q000453:epidemiology; D003153:Community Health Services / Q000706:statistics & numerical data*; D015897:Comorbidity; D003920:Diabetes Mellitus / Q000453:epidemiology; D005260:Female; D005356:Fibromyalgia / Q000453:epidemiology*; D019538:Health Care Surveys; D006306:Health Surveys; D006801:Humans; D001523:Mental Disorders / Q000453:epidemiology; D008875:Middle Aged; D015233:Models, Statistical; D010146:Pain / Q000453:epidemiology; D012044:Regression Analysis; D012219:Rheumatology / Q000706:statistics & numerical data*; D016387:Women's Health