Association of derived patterns of musculoskeletal disorders with psychological problems: a latent class analysis

Autor: Maryam Yazdi, Sara Karimi Zeverdegani, Amir Hossein MollaAghaBabaee
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Adult
Male
medicine.medical_specialty
010501 environmental sciences
Anxiety
Iran
Stress
01 natural sciences
Musculoskeletal disorders
03 medical and health sciences
0302 clinical medicine
Musculoskeletal disorder
Manufacturing Industry
medicine
Prevalence
Humans
Statistical analysis
030212 general & internal medicine
Musculoskeletal Diseases
Association (psychology)
Depression (differential diagnoses)
0105 earth and related environmental sciences
business.industry
Depression
lcsh:Public aspects of medicine
Confounding
Public Health
Environmental and Occupational Health
lcsh:RA1-1270
General Medicine
Middle Aged
medicine.disease
Health Surveys
Latent class model
Occupational Diseases
Cross-Sectional Studies
Latent Class Analysis
Physical therapy
Population study
medicine.symptom
business
Stress
Psychological
Research Article
Zdroj: Environmental Health and Preventive Medicine
Environmental Health and Preventive Medicine, Vol 24, Iss 1, Pp 1-9 (2019)
ISSN: 1347-4715
1342-078X
Popis: Background Musculoskeletal symptoms often occur in more than one anatomical site. The present study aimed to define specific patterns of multisite musculoskeletal disorders and examine how these patterns are related to common psychological problems. Methods Using the data from an interview-based health survey of 358 samples of the industrial manufacturing male employees, we derived major patterns of musculoskeletal complaints using latent class analysis and investigated its association with psychological problems score extracted from depression, anxiety, and stress measured by Depression/Anxiety/Stress Scale (DASS-21). Musculoskeletal disorders were assessed by Nordic Musculoskeletal Questionnaire (NMQ). The statistical analysis was carried out by Mplus 8. Results Complaints in the lower back (42.1%) and neck (30.7%) had the highest prevalence, and in the hip (15.0%) and ankle (12.2%) the lowest. Three major patterns of musculoskeletal disorders were extracted using latent class analysis. Class 1 (12.9%) was characterized by a high rate of complaints in upper musculoskeletal sites, such as the neck, shoulder, and joints; class 2 (38.2%) was identified by a higher rate of complaints in the lower and upper back; and class 3 (48.9%) was marked by low rates of complaints in all musculoskeletal sites. After adjustment for confounding variables and specifying class 3 as the reference, it turned out that there was a statistically significant association between the psychological problems score and the chance of being in class 1 (OR = 2.47, 95% CI 1.66–3.68), but not a significant association with the chance of being in class 2 (OR = 1.51, 95% CI 0.83–2.72). Conclusion Musculoskeletal disorders can be summarized in the latent class-derived patterns in the adult study population and provide additional prognostics. Common psychological problems are significantly associated with the type of musculoskeletal disorder patterns. The findings in this study could be useful for dealing with prevention and treatment programs.
Databáze: OpenAIRE
Externí odkaz: