Musculoskeletal Diseases as the Most Prevalent Component of Multimorbidity: A Population-Based Study.
Nina RajovicSlavisa ZagoracAndja CirkovicBojana MatejicDanilo JeremicRadica TasicJelena CumicSrdjan MašićJovana GrupkovicVekoslav MitrovicNatasa MilicBoris GluscevicPublished in: Journal of clinical medicine (2024)
Background/Objectives : Due to their high frequency, common risk factors, and similar pathogenic mechanisms, musculoskeletal disorders (MSDs) are more likely to occur with other chronic illnesses, making them a "component disorder" of multimorbidity. Our objective was to assess the prevalence of multimorbidity and to identify the most common clusters of diagnosis within multimorbidity states, with the primary hypothesis that the most common clusters of multimorbidity are MSDs. Methods : The current study employed data from a population-based 2019 European Health Interview Survey (EHIS). Multimorbidity was defined as a ≥2 diagnosis from the list of 17 chronic non-communicable diseases, and to define clusters, the statistical method of hierarchical cluster analysis (HCA) was performed. Results : Out of 13,178 respondents, multimorbidity was present among 4398 (33.4%). The HCA method yielded six multimorbidity clusters representing the most common diagnoses. The primary multimorbidity cluster, which was prevalent among both genders, age groups, incomes per capita, and statistical regions, consisted of three diagnoses: (1) lower spine deformity or other chronic back problem (back pain), (2) cervical deformity or other chronic problem with the cervical spine, and (3) osteoarthritis. Conclusions : Given the influence of musculoskeletal disorders on multimorbidity, it is imperative to implement appropriate measures to assist patients in relieving the physical discomfort and pain they endure. Public health information, programs, and campaigns should be utilized to promote a healthy lifestyle. Policymakers should prioritize the prevention of MSDs by encouraging increased physical activity and a healthy diet, as well as focusing on improving functional abilities.
Keyphrases
- physical activity
- health information
- high frequency
- risk factors
- healthcare
- mental health
- public health
- chronic kidney disease
- end stage renal disease
- body mass index
- chronic pain
- rheumatoid arthritis
- ejection fraction
- machine learning
- pain management
- deep learning
- risk assessment
- artificial intelligence
- type diabetes
- climate change