Psychosocial and health status variables independently predict health care seeking in fibromyalgia

Brian C. Kersh, Laurence A. Bradley, Graciela S. Alarcn, Kristin R. Alberts, Adriana Sotolongo, Michelle Martin, Leslie A. Aaron, Derek F. Dewaal, Marla L. Domino, William F. Chaplin, Nicole R. Palardy, Leanne R. Cianfrini, Mireya Triana-Alexander

Research output: Contribution to journalArticle

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Abstract

Objective. To determine whether variables derived from the self-regulatory model of health and illness behavior accurately predict status as a patient or nonpatient with fibromyalgia (FM). Methods. Subjects were 79 patients who met American College of Rheumatology (ACR) criteria for FM and 39 community residents who met ACR criteria for FM but had not sought medical care for their symptoms (nonpatients). Subjects were administered 14 measures that produced 6 domains of variables: background demographics and pain duration; psychiatric morbidity; and personality, environmental, cognitive, and health status factors. These domains were entered in 4 different hierarchical logistic regression analyses to predict status as patient or nonpatient. Results. The full regression model was statistically significant (P < 0.0001) and correctly identified 90.7% of the subjects with a sensitivity of 92.4% and a specificity of 87.2%. The best individual predictors of group status were self-reports of self-efficacy, negative affect, recent stressful events, and perceived pain. Relative to nonpatients, patients reported higher levels of negative affect and perceived pain and a greater number of recent stressful experiences, as well as lower levels of self-efficacy. Conclusion. Consistent with the self-regulatory model of health and illness behavior, psychosocial and health status variables predict health care-seeking behavior in persons with FM independently of background demographics and psychiatric morbidity. These variables may influence the severity of symptoms experienced by persons with this disorder as well as their health care-seeking behavior, but they are not necessary to produce abnormal pain sensitivity in FM.

Original languageEnglish (US)
Pages (from-to)362-371
Number of pages10
JournalArthritis Care and Research
Volume45
Issue number4
StatePublished - Aug 22 2001

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Fibromyalgia
Health Status
Delivery of Health Care
Patient Acceptance of Health Care
Illness Behavior
Pain
Self Efficacy
Psychiatry
Demography
Morbidity
Environmental Health
Health
Rheumatology
Self Report
Personality
Logistic Models
Regression Analysis

All Science Journal Classification (ASJC) codes

  • Rheumatology

Cite this

Kersh, B. C., Bradley, L. A., Alarcn, G. S., Alberts, K. R., Sotolongo, A., Martin, M., ... Triana-Alexander, M. (2001). Psychosocial and health status variables independently predict health care seeking in fibromyalgia. Arthritis Care and Research, 45(4), 362-371.

Psychosocial and health status variables independently predict health care seeking in fibromyalgia. / Kersh, Brian C.; Bradley, Laurence A.; Alarcn, Graciela S.; Alberts, Kristin R.; Sotolongo, Adriana; Martin, Michelle; Aaron, Leslie A.; Dewaal, Derek F.; Domino, Marla L.; Chaplin, William F.; Palardy, Nicole R.; Cianfrini, Leanne R.; Triana-Alexander, Mireya.

In: Arthritis Care and Research, Vol. 45, No. 4, 22.08.2001, p. 362-371.

Research output: Contribution to journalArticle

Kersh, BC, Bradley, LA, Alarcn, GS, Alberts, KR, Sotolongo, A, Martin, M, Aaron, LA, Dewaal, DF, Domino, ML, Chaplin, WF, Palardy, NR, Cianfrini, LR & Triana-Alexander, M 2001, 'Psychosocial and health status variables independently predict health care seeking in fibromyalgia', Arthritis Care and Research, vol. 45, no. 4, pp. 362-371.
Kersh BC, Bradley LA, Alarcn GS, Alberts KR, Sotolongo A, Martin M et al. Psychosocial and health status variables independently predict health care seeking in fibromyalgia. Arthritis Care and Research. 2001 Aug 22;45(4):362-371.
Kersh, Brian C. ; Bradley, Laurence A. ; Alarcn, Graciela S. ; Alberts, Kristin R. ; Sotolongo, Adriana ; Martin, Michelle ; Aaron, Leslie A. ; Dewaal, Derek F. ; Domino, Marla L. ; Chaplin, William F. ; Palardy, Nicole R. ; Cianfrini, Leanne R. ; Triana-Alexander, Mireya. / Psychosocial and health status variables independently predict health care seeking in fibromyalgia. In: Arthritis Care and Research. 2001 ; Vol. 45, No. 4. pp. 362-371.
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abstract = "Objective. To determine whether variables derived from the self-regulatory model of health and illness behavior accurately predict status as a patient or nonpatient with fibromyalgia (FM). Methods. Subjects were 79 patients who met American College of Rheumatology (ACR) criteria for FM and 39 community residents who met ACR criteria for FM but had not sought medical care for their symptoms (nonpatients). Subjects were administered 14 measures that produced 6 domains of variables: background demographics and pain duration; psychiatric morbidity; and personality, environmental, cognitive, and health status factors. These domains were entered in 4 different hierarchical logistic regression analyses to predict status as patient or nonpatient. Results. The full regression model was statistically significant (P < 0.0001) and correctly identified 90.7{\%} of the subjects with a sensitivity of 92.4{\%} and a specificity of 87.2{\%}. The best individual predictors of group status were self-reports of self-efficacy, negative affect, recent stressful events, and perceived pain. Relative to nonpatients, patients reported higher levels of negative affect and perceived pain and a greater number of recent stressful experiences, as well as lower levels of self-efficacy. Conclusion. Consistent with the self-regulatory model of health and illness behavior, psychosocial and health status variables predict health care-seeking behavior in persons with FM independently of background demographics and psychiatric morbidity. These variables may influence the severity of symptoms experienced by persons with this disorder as well as their health care-seeking behavior, but they are not necessary to produce abnormal pain sensitivity in FM.",
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AU - Bradley, Laurence A.

AU - Alarcn, Graciela S.

AU - Alberts, Kristin R.

AU - Sotolongo, Adriana

AU - Martin, Michelle

AU - Aaron, Leslie A.

AU - Dewaal, Derek F.

AU - Domino, Marla L.

AU - Chaplin, William F.

AU - Palardy, Nicole R.

AU - Cianfrini, Leanne R.

AU - Triana-Alexander, Mireya

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N2 - Objective. To determine whether variables derived from the self-regulatory model of health and illness behavior accurately predict status as a patient or nonpatient with fibromyalgia (FM). Methods. Subjects were 79 patients who met American College of Rheumatology (ACR) criteria for FM and 39 community residents who met ACR criteria for FM but had not sought medical care for their symptoms (nonpatients). Subjects were administered 14 measures that produced 6 domains of variables: background demographics and pain duration; psychiatric morbidity; and personality, environmental, cognitive, and health status factors. These domains were entered in 4 different hierarchical logistic regression analyses to predict status as patient or nonpatient. Results. The full regression model was statistically significant (P < 0.0001) and correctly identified 90.7% of the subjects with a sensitivity of 92.4% and a specificity of 87.2%. The best individual predictors of group status were self-reports of self-efficacy, negative affect, recent stressful events, and perceived pain. Relative to nonpatients, patients reported higher levels of negative affect and perceived pain and a greater number of recent stressful experiences, as well as lower levels of self-efficacy. Conclusion. Consistent with the self-regulatory model of health and illness behavior, psychosocial and health status variables predict health care-seeking behavior in persons with FM independently of background demographics and psychiatric morbidity. These variables may influence the severity of symptoms experienced by persons with this disorder as well as their health care-seeking behavior, but they are not necessary to produce abnormal pain sensitivity in FM.

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