Patterns of pain medication usage and self-reported pain in older Irish adults with osteoarthritis: a latent class analysis of data from the Irish Longitudinal Study on Ageing
Background: This study aimed to identify and describe links between pain medication use and self-reported pain among people aged ≥ 50 years with osteoarthritis (OA) in an Irish population, and to examine the relationships between pain, medication usage and socioeconomic and clinical characteristics.
Methods: Secondary data analysis of wave 1 cross-sectional data from The Irish Longitudinal Study on Ageing (TILDA) was undertaken of 1042 people with self-reported doctor-diagnosed OA. We examined use of medications typically included in OA clinical guidelines, including non-opioid analgesics (e.g. paracetamol), topical and oral non-steroidal anti-inflammatory drugs (NSAIDs), opioids and nutraceuticals. Latent Class Analysis (LCA) was used to identify underlying clinical subgroups based on medication usage patterns, and self-reported pain severity. Multinomial logistic regression was used to explore sociodemographic and clinical characteristic links to latent class membership.
Results: A total of 358 (34.4%) of the 1042 people in this analysis were taking pain medications including oral NSAIDs (17.5%), analgesics (11.4%) and opioids (8.7%). Nutraceutical (glucosamine/chondroitin) use was reported by 8.6% and topical NSAID use reported by 1.4%. Three latent classes were identified: (1) Low medication use/no pain (n = 382, 37%), (2) low medication use/moderate pain (n = 523, 50%) and (3) moderate medication use/high pain (n = 137, 13%). Poorer self-rated health and greater sleep disturbance were associated with classes 2 and 3; depressive symptoms and female gender were associated with class 2, and retirement associated with class 3.
Conclusions: Whilst pain medication use varied with pain severity, different medication types reported broadly aligned with OA guidelines. The two subgroups exhibiting higher pain levels demonstrated poorer self-rated health and greater sleep disturbance.
Funding
Development of a Model of Care for Osteoarthritis in Primary Care in Ireland- A mixed methods study
Health Research Board
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Data Availability Statement
TILDA data can be accessed via the Irish Social Science Data Archive (www. ucd.ie/issda)). The publicly accessible dataset files are hosted by the Irish Social Science Data Archive based in University College Dublin, and the Interuniversity Consortium for Political and Social Research (ICPSR) based in the University of Michigan. Researchers wishing to access the data must complete a request form, available on either the ISSDA or ICPSR website.Comments
The original article is available at https://bmcmusculoskeletdisord.biomedcentral.com/Published Citation
French HP. et al. Patterns of pain medication usage and self-reported pain in older Irish adults with osteoarthritis: A latent class analysis of data from the Irish Longitudinal Study on Ageing. BMC Musculoskelet Disord. 2024;25(1):773.Publication Date
2 October 2024External DOI
PubMed ID
39358713Department/Unit
- Data Science Centre
- Health Psychology
- Public Health and Epidemiology
- School of Pharmacy and Biomolecular Sciences
- School of Physiotherapy
- School of Population Health
Publisher
BioMed CentralVersion
- Published Version (Version of Record)