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Sökning: id:"swepub:oai:DiVA.org:oru-112026" > Preliminary Validat...

Preliminary Validation of a General Factor Model of Chronic Overlapping Pain Conditions

Summit, Alynna G. (författare)
Department of Applied Health Science, School of Public Health, Indiana University, 1025 E. 7(th) Street, Bloomington, IN, 47405, USA
Chen, Cen (författare)
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-171 77 Stockholm, Sweden
Pettersson, Erik (författare)
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-171 77 Stockholm, Sweden
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Boersma, Katja, professor, 1973- (författare)
Örebro universitet,Institutionen för beteende-, social- och rättsvetenskap,Center for Health and Medical Psychology (CHAMP)
D'Onofrio, Brian M. (författare)
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-171 77 Stockholm, Sweden; Department of Psychological and Brain Sciences, Indiana University, 1101 E. 10(th) Street, Bloomington, IN, 47405 USA
Lichtenstein, Paul (författare)
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-171 77 Stockholm, Sweden
Quinn, Patrick D. (författare)
Department of Applied Health Science, School of Public Health, Indiana University, 1025 E. 7(th) Street, Bloomington, IN, 47405, USA
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Department of Applied Health Science, School of Public Health, Indiana University, 1025 E 7(th) Street, Bloomington, IN, 47405, USA Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-171 77 Stockholm, Sweden (creator_code:org_t)
2024
2024
Engelska.
Ingår i: Journal of Pain. - : Elsevier. - 1526-5900 .- 1528-8447.
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Chronic overlapping pain conditions (COPCs) by definition frequently co-occur, perhaps reflecting their shared etiologies. Their overlapping nature presents a methodological challenge, possibly masking associations between COPCs and health outcomes attributable to either general or specific processes. To address this challenge, we used population-based cohort data to evaluate the predictive validity of a bifactor model of nine self-reported COPCs by assessing its association with incident pain-related clinical diagnoses; pain-relevant pharmacotherapy; and other health outcomes. We obtained data from a 2005-2006 study of Swedish adult twins linked with health data from nationwide registers through 2016 (N = 25,418). We then fit a bifactor model comprising a general COPC factor and two independent specific factors measuring pain-related somatic symptoms and neck and shoulder pain. Accounting for age, biological sex, and cancer, the general factor was associated with increased risk of all pain-related outcomes (e.g., COPC diagnosis aOR, 1.71; 95% CI [1.62, 1.81]), most mental health-related outcomes (e.g., depression aOR, 1.72 [1.60, 1.85]), and overdose and mortality (e.g., all-cause mortality aOR, 1.25 [1.09, 1.43]). The somatic symptoms specific factor was associated with pain-relevant pharmacotherapy (e.g., prescribed opioids aOR, 1.25 [1.15, 1.36]), most mental health-related outcomes (e.g., depression aOR, 1.95 [1.70, 2.23]), and overdose (e.g., nonfatal overdose aOR, 1.66 [1.31, 2.10]). The neck and shoulder pain specific factor was weakly and inconsistently associated with the outcomes. Findings provide initial support for the validity and utility of a general-factor model of COPCs as a tool to strengthen understandings of co-occurrence, etiology, and consequences of chronic pain. PERSPECTIVE: This article presents associations between a novel measurement model of chronic overlapping pain conditions (COPCs) and various health outcomes. Findings provide support for measuring pain across multiple domains rather than only measuring pain specific to one physical location in both research and clinical contexts.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)

Nyckelord

Bifactor model
chronic pain
comorbidity
general factor of pain
mental health

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