Cluster analysis of Canadian Armed Forces Veterans living with chronic pain: Life After Service Studies 2016.

Abstract: Objective: This study explored the heterogeneity of Canadian Armed Forces veterans living with chronic pain to inform service needs planning and research using cluster analysis.Design: We used a national cross-sectional Statistics Canada population survey.Participants: Participants included 2754 Canadian Armed Forces (CAF) Regular Force veterans released from service between 1998 and 2015 and surveyed in 2016.Methods: We used cluster analysis of veterans with chronic pain based on pain severity, mental health, and activity limitation characteristics. We compared clusters for sociodemographic, health, and service utilization characteristics.Results: Of 2754 veterans, 1126 (41%) reported chronic pain. Veterans in cluster I (47%) rarely had severe pain (2%) or severe mental health problems (8%), and none had severe activity limitations. Veterans in cluster II (26%) more often than veterans in cluster I but less often than veterans in cluster III endorsed severe pain (27%) and severe mental health problems (22%) and were most likely to report severe activity limitation (91%). Veterans in cluster III (27%) were most likely to report severe pain (36%) and severe mental health problems (96%), and a majority reported severe activity limitations (72%). There was evidence of considerable heterogeneity among individuals in terms of socioeconomic characteristics, pain characteristics, mental and physical health status, activity limitations, social integration, and service utilization indicators.Conclusions: About half of Canadian veterans living with chronic pain infrequently endorse severe pain or serious mental health issues without severe activity limitations. The other half had more complex characteristics. The heterogeneity of CAF veterans with chronic pain emphasizes the need for support systems that can address variability of needs

Read the full article
Report a problem with this article

Related articles

  • More for Researchers

    Examining the factor structure of the nine-item avoidant/restrictive food intake disorder screen in a national US military Veteran sample

    Abstract: Disordered eating is a prevalent and relevant health concern that remains understudied among U.S. military veterans. Avoidant/restrictive food intake disorder (ARFID) is a newly recognized feeding and eating disorder characterized by overly restrictive eating due to (a) picky eating, (b) lack of appetite, and (c) fear of aversive consequences related to eating. The Nine-Item ARFID Screen (NIAS) is a recently developed ARFID screening tool with initial validation studies demonstrating psychometric support. However, the psychometric properties of the NIAS have not been investigated in a veteran sample. To advance our understanding of ARFID screening tools that may be appropriate for use in veterans, the present study examined the factor structure of the NIAS using survey data from a large national sample of recently separated veterans (N = 1,486). Measurement invariance across key subgroups was tested in addition to exploring differential associations between the NIAS and related constructs. Results suggested that a three-factor model provided an excellent fit of the data and demonstrated scalar invariance across self-identified men and women, race and ethnicity, and sexual and gender minority (SGM) identity. Some subgroups had higher latent means on the picky eating (women, SGM, non-Hispanic Black), appetite (women, SGM), and fear (women) factors. The NIAS had some overlap with another measure of disordered eating and was moderately correlated with psychosocial impairment and mental health. Overall, the NIAS may be a useful screening tool for ARFID in veterans, given support for the three proposed subscales and equivalence across diverse identities.