An internet survey of 2,596 people with fibromyalgia
© Bennett et al; licensee BioMed Central Ltd. 2007
Received: 24 July 2006
Accepted: 09 March 2007
Published: 09 March 2007
This study explored the feasibility of using an Internet survey of people with fibromyalgia (FM), with a view to providing information on demographics, sources of information, symptoms, functionality, perceived aggravating factors, perceived triggering events, health care utilization, management strategies, and medication use.
A survey questionnaire was developed by the National Fibromyalgia Association (NFA) in conjunction with a task force of "experts in the field". The questionnaire underwent several rounds of testing to improve its face validity, content validity, clarity and readability before it was mounted on the internet. The questionnaire consisted of 121 items and is available online at the website of the National Fibromyalgia Association.
The questionnaire was completed by 2,569 people. Most were from the United States, with at least one respondent from each of the 50 states. Respondents were predominantly middle-aged Caucasian females, most of whom had FM symptoms for ≥ 4 years. The most common problems were morning stiffness, fatigue, nonrestorative sleep, pain, concentration, and memory. Aggravating factors included: emotional distress, weather changes, insomnia, and strenuous activity. Respondents rated the most effective management modalities as rest, heat, pain medications, antidepressants, and hypnotics. The most commonly used medications were: acetaminophen, ibuprofen, naproxen, cyclobenzaprine, amitriptyline, and aspirin. The medications perceived to be the most effective were: hydrocodone preparations, aprazolam, oxycodone preparations, zolpidem, cyclobenzaprine, and clonazepam.
This survey provides a snap-shot of FM at the end of 2005, as reported by a self-selected population of people. This descriptive data has a heuristic function, in that it identifies several issues for further research, such as the prescribing habits of FM health care providers, the role of emotional precipitants, the impact of obesity, the significance of low back pain and the nature of FM related stiffness.
Over the past 20 years fibromyalgia (FM) has emerged as a leading cause of office visits to rheumatologists, both in its primary form and as an accompaniment of other rheumatic disorders. Epidemiological studies report a FM prevalence of between 2 and 7% in most nations [1–12], with a female to male ratio of approximately 9:1. It is increasingly evident that FM represents a significant challenge in view of its high prevalence, frequent comorbidities, and frustration with current treatment modalities.
Patient self-report is increasingly used to assess the impact of rheumatic diseases and gain insight into their impact and to formulate new questions for investigation [13–16]. Study groups such as OMERACT (Outcome Measures in Rheumatology) use self-reported information as a preliminary step in the development of Delphi-based questionnaires with the eventual aim of defining optimal outcome measures for clinical trials .
The major aims of the current study were to conduct a large internet-based national survey of people with FM to determine: (1) demographics and sources of information about FM, (2) symptoms and functionality, (3) perceived aggravating factors, (4) perceived triggering events, (5) diagnosis and health care utilization, (6) management strategies, and (7) medication use.
This questionnaire was developed in conjunction with The National Fibromyalgia Association (NFA) and a multidisciplinary Task Force of FM experts. The NFA is a nonprofit organization whose mission is to develop and execute programs dedicated to improving the quality of life for people with FM by increasing the awareness of the public, media, government, and medical community. The first draft of the questionnaire was completed in 2004 with a focus group of 12 FM volunteers providing feedback.
In order to establish content validity of the Questionnaire the following steps were taken:
• The questionnaire was administered to 42 people (ages 24–74) diagnosed with FM who attended a symposium on FM that was held at California State University, Fullerton. Based on the resulting feedback, the questionnaire was modified to improve its content, clarity, readability, and overall quality.
• The revised questionnaire was further tested on the a focus group of 21 people with FM (age range 36–60) who had volunteered to participate in NFA surveys via e-mail. Based on feedback from this focus group, the Questionnaire was further adapted to further improve its content, clarity, readability, and quality.
• A 2-day workshop of the Task Force met in October 2005 to finalize the Questionnaire content and format.
• A study was conducted to determine whether the finalized Questionnaire had appropriate stability over a 1–2 week period. Intraclass correlation coefficients (ICCs) were calculated to index test-retest reliability. The majority of the single ICC values fell within the acceptable range of values from 0.82 to 1.00 with few exceptions. Most items with lower ICCs required participants to recall specific dates or to estimate things which occurred within a specified time frame (i.e., recall issues). Others items with lower ICCs related to symptoms and states (i.e., clinical features that typically fluctuate in intensity and frequency).
The reading level of the Questionnaire, except for section # 6 (medications), was estimated by using the "readability statistics" tool that is available in Microsoft Word. This analysis showed a Flesch Reading Ease score of 60.8 and a Flesch-Kincaid Grade Level of 7.0. The grade level estimates range from grade 5 through college; grade 7 is fairly low; indicating the Questionnaire was quite suitable for use by lay people.
The final Questionnaire consisted of 121 items  and consisted of 5 sections:
(1) Background Information (questions 1–25), (2) Symptoms (questions 26–51), (3) Physical Ability Impact (questions 52–63), (4) Employment Impact (questions 64–87), and (5) nature and effectiveness of interventions (questions 88–121). A decision was made to post the survey on the Internet for whatever period was required to obtain a representative sample of approximately 3,000 responses.
The questionnaire was posted on the NFA's website on October 12, 2005. The survey was completed in a satisfactory manner by 2,569 people over the course of 3 days. The vast majority of responses were from the United States. There was at least 1 responder from each of the 50 States in the United States. In most States approximately 0.05% of the estimated female FM population responded to the survey -based on a conservative estimate FM prevalence of 3.5% in women and the 2002 National Census figures . In addition, there were 46 responses from 12 other countries (Canada, United Kingdom, Ireland, Australia, New Zealand, Mexico, Germany, Holland, Bermuda, France, Israel, and Hungary).
Demographics and the sources of information about FM
Demographic profile of responders
47.3 ± 10.68
Current weight [pounds]
179.5 ± 45.9
Weight at age 18
129.1.5 ± 26.8
64.7 ± 3.2
Body mass index [BMI]
30.1 ± 7.6
Symptoms < 7 months
> 4 years
Marital Status: Currently married
Number of Children: One child
> 3 children
Household income: < $9,000
Respondents obtained information about FM from diverse sources, including professional and consumer organizations: Health care professionals providing FM information were: family physicians (45.8%), rheumatologist (43.6%), internists (23.1%), massage therapists (20.3%), chiropractors (20.2%), physical therapists (14.4%), mental health professionals (psychiatrist/psychologist/social workers) (13.1%), pharmacists (7.8%), nurse practitioners/physician assistants (7.6%), nurses (5.3%), nutritionist/dietitians (4.4%), and gynecologists (2.9%). In addition to health care professionals, respondents received information from a number of other sources including: NFA (sponsors of the survey,70%), general media (41.6%), Arthritis Foundation (35.2%), Internet message boards (23.4%), Internet chat rooms (12.5%), local support groups (12%), and informal sources (e.g., friends,32.6%), health food store,13.6%, family member,10.7%). These percentages do not summate to 100% as more than one source could be acknowledged.
Symptoms and functionality
Frequencies of symptoms and current comorbidities ≥ 25 % [in descending order of frequency]
Low back pain
Irritable bowel syndrome
Symptom intensity during the past week [in descending order of severity]
Mean ± SD
7.2 ± 2.5
7.1 ± 2.1
6.8 ± 2.7
6.4 ± 2.0
5.9 ± 2.7
5.9 ± 2.6
Difficulty falling asleep
5.6 ± 3.3
4.8 ± 3.2
4.5 ± 3.1
4.4 ± 3.1
4.3 ± 3.1
3.9 ± 2.9
3.6 ± 2.7
3.6 ± 2.8
3.5 ± 2.9
Swelling of feet and ankles
3.2 ± 3.1
2.9 ± 2.8
2.5 ± 2.9
1.9 ± 2.9
Chronic pain, fatigue stiffness, and other FM-associated symptoms frequently impact on an individual's functional capabilities. Survey participants responded to the question: "even if you did not do the following activities, please indicate what you think your ability to do them during the past week would be?" The percentage of responders who indicated that they would have no difficulty performing each task was as follows: normal activities of daily living (65%); walking 2 blocks (45%); climbing stairs (38%); shopping (34%); light household duties (e.g., cooking/dusting) (32%); lifting or carrying 10 pounds (30%); walking half a mile (27%); walking 1 mile (18%); lifting or carrying 25 pounds (8%); heavy household duties (e.g., vacuuming/scrubbing) (7%); and strenuous recreational activity (hiking/biking) (3%).
The respondents were nearly equally divided regarding their ability to maintain gainful employment. Those who were still working felt that their symptoms compromised their ability to be productive due to frequent absences and reduced work hours. Approximately 20% of the respondents had filed some form of disability claim and 6% received workman's compensation.
Perceived aggravating factors
Factors perceived to worsen FM symptoms [in descending order of frequency]
Low to moderate physical activity
Lack of emotional support
Time zone changes
Work related conflicts
Medication side effects
Perceived triggering events
Perceived triggering events of FM onset (in descending order of frequency)
Physical injury (non-MVA)
Motor vehicle accident (MVA)
Emotional and physical abuse as an adult
Emotional and physical abuse as a child
Sexual abuse as a child
Sexual abuse as adult
Diagnosis and health care utilization
Most responders (98.4%) had been formally diagnosed as having FM by a health care provider. In 55% of responders the diagnosis had been made 4 or more years prior to the completion of the survey, whereas in 9% the diagnosis had been made within the last year. Rheumatologists were responsible for the diagnosis in 42.4% of responders followed by family physicians and internists in 23.2% and 12.2%, respectively. In just under 10% of responders the diagnosis of FM was made by other health care providers (chiropractors, nurse-practitioners, osteopaths, psychiatrists, gynecologists, and nurses). Some 46% had consulted between 3 to 6 health care providers before obtaining the diagnosis of FM, while 24.6% had seen >6 health care providers prior to diagnosis. In response to the question "how legitimate does your current health care provider treat your fibromyalgia?", there was roughly a bimodal distribution with 65.1% reporting "legitimate" or "very legitimate", whereas 27.8% felt that their health care provider did not view FM as a "very legitimate" disorder.
Over 96% of responders had seen a health care provider at least once over the past year for their FM symptoms. Some 44% of responders reported that they had visited a health care provider 1 to 4 times in the past year. An additional 23% indicated they visited responder 5 to 8 times in this time period, 14% reported 9 to 12 visits, and 13% reported more than 12 visits (13%). Approximately 29% of respondents indicated they had visited an emergency room on at least 1 to 4 occasions in the last year. Hospitalization due to FM symptoms was reported by 3.5% of the responders.
Approximately 70.4% of the sample reported that they had medical insurance. Most responders had out-of-pocket expenses related to management of their FM. For instance 74% of responders reported spending between $100 and $500 each month on over-the-counter products; whereas 61% spent between $100 and $500 each month on prescription medications.
Interventions used by the survey responders [in descending order of frequency]
Effectiveness [0–10 scale]
6.3 ± 2.5
Distraction [reading, watching TV etc.]
4.7 ± 2.5
Heat modalities [warm water, hot packs]
6.3 ± 2.3
3.8 ± 2.8
OTC pain medications
3.8 ± 2.3
Prescription pain medications
6.3 ± 2.4
4.6 ± 2.6
6.2 ± 2.8
5.4 ± 2.6
6.0 ± 2.9
Prescription sleep medications
6.5 ± 2.7
5.1 ± 5.5
6.1 ± 2.8
5.0 ± 3.0
Cold therapy [ice packs etc.]
4.8 ± 2.8
5.1 ± 3.0
Counseling [psychologist, MSW, pastor]
4.8 ± 3.0
6.0 ± 3.0
Non-aerobic exercise [stretching, yoga, Tai Chi]
5.1 ± 2.9
4.7 ± 3.1
OTC sleep medications
4.0 ± 2.9
4.3 ± 2.9
Trigger point injections
5.0 ± 3.3
4.6 ± 3.0
4.3 ± 2.9
4.8 ± 3.1
4.5 ± 3.5
4.6 ± 3.3
Cognitive behavioral therapy
4.3 ± 3.2
Energy healing [e.g. Reiki]
4.0 ± 3.2
2.9 ± 2.9
3.4 ± 3.4
2.5 ± 2.9
Medications used by survey responders
Medications used by ≥ 25% of the survey responders [% use sorted on "ever used"]
Drug (with common USA brand name)
Ibuprofen [Motrin, Advil]
Naproxen [Naprosyn, Aleve]
Codeine + APAP [Tylenol #2 or #3 or #4]
Hydrocodone + APAP [Vicodin]
Propoxyphene + APAP [Darvocet]
Oxycodone + APAP [Percocet, Roxicet]
Tramadol + APAP [Ultracet]
Over the course of 3 days, over 2500 respondents completed a survey that was posted on the web site of the National Fibromyalgia Association. The demographics of the respondents to this survey revealed no particular surprises when compared to other epidemiologic studies and surveys [1–12]. The household income was similar to a previous survey of 537 FM patients in the San Diego, California . In comparison to United States National Census figures, respondents were moderately overweight. Several other studies have reported obesity in FM [21–23] and weight reduction has been reported to provide improvement . This concordance in demographic variables with other published FM studies suggests that the Questionnaire provided a reasonably representative measure.
It is difficult to make direct comparisons of health care utilization in this survey and other studies, as it is largely derived from patients with internet access in the United States. For example, a Canadian study reported annual visits to health care providers were 11.6, emergency room visits were 0.6, and hospital inpatient days or 2.1 . However, the health care system in Canada is a nationalized service compared to the fee for service system in the United States. It is impossible to disentangle the availability and costs of services from service utilization.
Although a hallmark of FM is pain, the respondents listed morning stiffness, fatigue, and non-restorative sleep before pain, as comparable in severity. While morning stiffness is a common symptom in inflammatory rheumatic disorders [26, 27] it has only been mentioned in the occasional FM study [28, 29]. Morning stiffness is a characteristic feature of inflammatory arthritidies, where it has been defined as "slowness or difficulty moving the joints when getting out of bed or after staying in one position too long, which involves both sides of the body and gets better with movement" . Whether such a precise definition would apply to FM patients would be an interesting topic for future study. Morning stiffness in rheumatoid arthritis has been correlated with elevated serum levels of hyaluronic acid . Raised levels of hyaluronic acid have been reported in one study FM patients , but not in several others [33–35]. The 63% prevalence of low back pain is particularly noteworthy, as this has not been previously reported in survey or epidemiological studies of FM. It may be a productive topic for future research, as patients with low back pain have been reported to develop FM in 25% of cases  and some patients with LBP have augmented pain processing .
Six of the most frequently cited exacerbating factors involved some form of emotional distress (endorsed by 83% of the respondents). These results are in accord with several other studies [38–40]. The perceived adverse effect of weather changes (80% endorsed) is noteworthy. This effect has been previously reported  but in 2 studies FM symptoms failed to correlate with meteorological variables [42, 43]. In another study pain was correlated with high atmospheric pressure and low temperature . Concordant with several other reports [45–47] "forgetfulness" and problems with "concentration" were rated as quite common and problematical. The frequency of disability claims in the current survey was about the same as a multicenter study in the United States .
One study of the prevalence of sexual abuse in FM suggested that it might be as high as 57% . The 7.8% prevalence of childhood sexual abuse in the current survey is substantially lower and may reflect differences in "candidness" between an Internet based survey population and one-on-one interviews. A recent telephone based study found no association between FM and sexual abuse, but did report a three-fold increase of FM in women who had been raped. Thus, it was hypothesized that chronic stress, in the form of posttraumatic stress disorder, may mediate the relationship between rape and FM .
Among the most interesting data to come out of this survey was the use of various management strategies and medications by the participants. An attempt was also made to assess the perceived effectiveness of various therapies (on a 0 to 10 scale, with 10 being most effective). The 3 most commonly used interventions were non-medicinal (rest, heat, and distraction). Interventions with the highest effectiveness ratings were: prescription sleep medications (rating: 6.5), prescription pain medications (rating: 6.3), resting (rating: 6.3), heat (rating: 6.3), and prescription antidepressants (rating: 6.2). Although non-prescription pain medications and nutritional supplements were commonly used they did not appear to be particularly effective (ratings of 3.8 and 2.8 respectively). Conversely, pool therapy, used by a quarter of the respondents, was as effective as many of the more frequently used management strategies.
The most commonly used medications were acetaminophen (94%), ibuprofen (87%), naproxen (66%), cyclobenzaprine (64%), and amitriptyline (55%). Based on the percentage of respondents who rated medications as helpful, the top 10 were: hydrocodone preparations (75%), aprazolam (70%), oxycodone preparations (67%), diazepam (65%), zolpidem (64%), clonazepam (61%), cyclobenzaprine (58%), codeine preparations (55%), propoxyphene preparations (54%), and ibuprofen (51%). Interestingly, there is a discrepancy between the most commonly used and the most effective medications. This, discrepancy may be associated with the heavy use of over-the-counter drugs, which are generally cheaper than prescription drugs. There may also be a reluctance of physicians to provide ongoing prescriptions of opioids and benzodiazepines. The perceived effectiveness of hydrocodone preparations is of some interest as this medication has never been formally tested in FM patients. Future research should examine the profile of health care providers who prescribed this and similar opioids. Aprazolam (reported as being helpful in 70% of respondents) has been noted to be of some benefit when used in conjunction with ibuprofen , but has never been formally evaluated as a stand-alone drug in FM.
Another way to consider effectiveness of medications is to examine continuation of treatment. The most commonly reported medications that respondents continuing to use were: hydrocodone preparations (41%), ibuprofen (41%), clonazepam (40%), acetaminophen (37%), gabapentin (36%), trazodone (36%), zolpidem (34%), aprozolam (30%), cyclobenzaprine (30%), and bupropion (29%). As expected, newer medications available at the end of 2005, such as duloxetine, sodium oxybate, and pregabalin, were being used by only a small percentage of respondents (i.e., < 8%). Non-adherence to prescribed medications is reported to be common in FM patients , but whether this is a result of lack of efficacy, side effects, cost, or psychosocial factors, is not known.
In interpreting the results of this survey it is important to acknowledge its limitations. The surveyed population was self-selected as people with FM who had Internet access and was familiar with the NFA website. Approximately 70% of the respondents indicated that they obtained information about FM from the NFA (the sponsors of the survey). It is possible that those familiar with NFA differ in important ways from people with FM in general. They were not personally interviewed or formally diagnosed. Thus an unknown proportion of those responding may not have met in 1990 ACR classification criteria for a diagnosis of FM . However, only 1.6% of the responders reported that their diagnosis of FM had not been confirmed by a health care professional. There is some evidence that certain combinations of symptoms are strongly correlated with an ACR based diagnosis of FM. For instance, Katz has reported that a history of widespread regional pain (score ≥ 8.0) plus fatigue (score ≥ 6.0) has a 75% concordance with ACR criteria . This Internet based survey was new and previously untested and there is a need to confirm its psychometric properties in future studies. Preliminary testing suggested good face validity and test-retest reliability. Internet-based surveys are increasingly used to obtain patient data  and several studies have reported a good correlation with paper-and- pencil surveys [56, 57].
The information from this survey provides as a glimpse into the FM landscape in the United States at the end of 2005 as perceived by a self-selected group of FM patients with Internet access. These results pose several issues for more in depth research, such as the prescribing habits of FM health care providers, the role of emotional precipitants, the impact of obesity, the significance of low back pain and the nature of FM related stiffness.
We thank the following members of the Task Force for their contributions to this manuscript:
• Richard Gevirtz, PhD, Alliant International University San Diego, CA
• Kim Jones, PhD, FNP, Oregon Health & Science University, Portland OR
• Philip Mease, MD, University of Washington, Seattle WA
• Shari McMahan, PhD, California State University, Fullerton
• Daniel Rooks, PhD, Harvard Medical School, Beth Israel-Deaconess Medical Center, MA
• Dana Rutledge, RN, PhD, California State University, Fullerton
• Stuart Silverman, MD, University of California, Los Angeles, CA
Authors and members of the task force did not receive any funding, or any other remuneration, for their participation in this project.
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