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Abstract Number: 1978

Employment Status in Fibromyalgia: Comparison of  Employed and  Unemployed Patients and Predictors of Unemployed Status

Yaseen Kinanah1, Nilamba Jhala2, Sahar Kaouk3, Deb Bork4, Sara Davin5, Sarah Rispinto5, William Wilke4 and Carmen E. Gota4, 1Internal Medicine, Cleveland Clinic Foundation, Cleveland, OH, 2Internal Medicine, Cleveland Clinic, Cleveland, OH, 3John Carroll University, University Heights, OH, 4Orthopedic and Rheumatologic Institute, Cleveland Clinic, Cleveland, OH, 5Neurologic Institute, Cleveland Clinic, Cleveland, OH

Meeting: 2017 ACR/ARHP Annual Meeting

Date of first publication: September 18, 2017

Keywords: Employment and fibromyalgia

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Session Information

Date: Tuesday, November 7, 2017

Title: Fibromyalgia, Soft Tissue Disorders, Regional and Specific Clinical Pain Syndromes Poster II

Session Type: ACR Poster Session C

Session Time: 9:00AM-11:00AM

Background/Purpose:

Disabled status in fibromyalgia (FM) was found to be associated with lower education, higher FM symptom burden, and lower functional status. Less is known about the characteristics of unemployed FM patients who are not receiving any form of disability benefits.

Methods:

Patients diagnosed clinically with fibromyalgia were enrolled and classified according to employment status and compared. Questionnaires used: patient health questionnaire (PHQ-9), general anxiety disorder -7 questionnaire (GAD-7), health assessment questionnaire disability index (HAQ-DI), fibromyalgia impact questionnaire (FIQ), pain disability index, pain catastrophizing scale, polysymptomatic distress scale (PSD) as the sum of widespread pain index (WPI), and the symptom severity scale (SS).

Results:

Of 555 FM patients, 87.2% met the ACR 2010 preliminary FM criteria, 38.4% working full time, 13.3% part time, 11.7% receiving disability, 27.9% unemployed 2.7% students and 5.9% retired. We compared patients who were employed either full or part time and/or student, with unemployed FM patients (Table 1).

Binomial logistic regression was performed to ascertain the effects of BMI, education level, PHQ-9, GAD-7, HAQ-DI, pain related disability, FIQ, pain catastrophizing score, and PSD on the likelihood that FM patients were unemployed. The model explained 49.2% (Nagelkerke R2) of the variance in unemployed status, and correctly classified 82.8% of the cases, sensitivity 77.1%, specificity 86.5%, positive predictive value 79.4%, negative predictive value 84.9% Of the nine predictor variables only three were statistically significant: FIQ, pain catastrophizing score and the pain disability index. Increasing FIQ, pain disability index, and pain catastrophizing were each significantly associated with increasing likelihood of being unemployed.

We also compared unemployed to disabled FM patients, and the only significant dfference observed was that more disabled FM were recipients of Medicare 25.5% vs 4% p=0.001.

Conclusion:

Compared to employed fibromyalgia patients, those who are unemployed have higher BMI, are more depressed and experience higher physical and pain related disability. They also have higher FM severity and distress, measured by FIQ and PSD.

Increasing fibromyalgia severity, pain related disability, and catastrophizing predict unemployment status in patients with FM. This information suggests that in order to prevent unemployment, we need to identify early the subset of FM patients with severe FM, who catastrophize and have high pain related disability scores. This subset of FM patients, may need intensive multidisciplinary interventions that include physical and occupational therapy and psychological interventions that can modify patients’ maladaptive responses to pain.

Table 1: Characteristics of employed and unemployed patients with fibromyalgia. Values are the mean (standard deviation) or percentages.

EMPLOYED

UNEMPLOYED

P

N, %

302

66.8%

150

33.2%

Age, years

41.8 (11.1)

42.9(10.0)

0.389

Female sex, %

82.8% female

92% female

0.021

Ethnicity white %

79.8%

78%

0.774

Marital status

0.222

Married %

54.6%

60%

Divorced%

15.9%

18.7%

Living with partner %

1.3%

1.3%

Single %

23.8%

19.3%

Widowed %

2%

0%

Education level

0.655

Less than 12th grade

3.3%

5.3%

High school graduate

14.6%

16.7%

Some college

19.5%

23.3%

College graduate

31.1%

30%

Post graduate

14.9%

6.7%

BMI

29.4 (6.9)

31.7 (9.7)

0.008

PHQ-9

11.6 (6.1)

14 (6.2)

0.0001

GAD-7

8.4 (6.8)

9.3 (6.3)

0.213

WPI

10.8 (4.5)

13.7 (15.5)

0.004

SS

8.6 (2.3)

9.3 (2)

0.002

PSD

19.5 (5.8)

23.9 (17.6)

0.002

Pain catastrophizing score

22 (13.8)

23.3 (12.6)

0.613

HAQ-DI

0.8 (1.0)

1.3 (0.9)

0.0001

Pain disability index

4.6 (2.2)

6.5 (1.9)

0.0001

FIQ total

52.0 (20.1)

68.4 (17.1)

0.0001


Disclosure: Y. Kinanah, None; N. Jhala, None; S. Kaouk, None; D. Bork, None; S. Davin, None; S. Rispinto, None; W. Wilke, None; C. E. Gota, None.

To cite this abstract in AMA style:

Kinanah Y, Jhala N, Kaouk S, Bork D, Davin S, Rispinto S, Wilke W, Gota CE. Employment Status in Fibromyalgia: Comparison of  Employed and  Unemployed Patients and Predictors of Unemployed Status [abstract]. Arthritis Rheumatol. 2017; 69 (suppl 10). https://acrabstracts.org/abstract/employment-status-in-fibromyalgia-comparison-of-employed-and-unemployed-patients-and-predictors-of-unemployed-status/. Accessed .
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