Journal of Pain Research · 2019 · 19 citations · 30 references
Social SciencesBehavioral SciencesPsychologyBehavioral HealthHealth PsychologyPsychometricsHeadache DisordersPsychosocial Factors In PainSymptom BurdenSymptom Burden AssessmentWorking ConditionsWorkplace StressGeneralized Anxiety Disorder AssessmentHeadache Impact AssessmentInternal Consistency ReliabilityPsychosocial FunctioningPsychosocial PredictorsSelf-report QuestionnairesSocial Isolation AssessmentSocial Isolation Measurement
Purpose: Psychosocial risk factors are common in headache patients and affect the impact of headache in multiple ways. The aim of our study was to assess how psychosocial risk factors correlate with the headache impact test-6 (HIT-6). To our knowledge this is the first study to evaluate the impact of several psychosocial factors on the HIT-6 score. Patients and methods: Our study population consisted of 469 Finnish female employees reporting headache during the past year. Psychosocial risk factors were assessed using validated, self-administered questionnaires: the generalized anxiety disorder 7-item scale (GAD-7) for anxiety, the major depression inventory (MDI) for depressive symptoms, the ENRICHD short social support instrument (ESSI) for social isolation, the cynical distrust scale for hostility and the Bergen burnout indicator (BBI-15) for work stress. Results: Exploratory factor analysis of the HIT-6 scores revealed two factors, one describing psychological and quality of life aspects affected by headache and the other describing severity of pain and functional decline. Internal consistency of the HIT-6 was 0.87 (95%CI: 0.85–0.89). Correlations between the total HIT-6 score and all measured psychosocial risk factors except for hostility were weak, but statistically significant. Conclusion: The HIT-6 questionnaire has good construct validity and it describes reliably and independently the impact of headache without interference of psychosocial factors in general working-aged female population. Keywords: headache, psychosocial, factor analysis, female employee
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