Advances in Human Biology

ORIGINAL ARTICLE
Year
: 2018  |  Volume : 8  |  Issue : 3  |  Page : 180--185

A classification analysis of musculoskeletal complaints and its association with anxiety, depression and psychological distress: Results from a large-scale cross-sectional study of adult Iranian population


Maryam Yazdi1, Awat Feizi2, Ammar Hassanzadeh Keshteli3, Hamid Afshar4, Peyman Adibi5 
1 Department of Biostatistics and Epidemiology, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
2 Department of Biostatistics and Epidemiology, School of Health, Isfahan University of Medical Sciences; Psychosomatic Research Center, Isfahan University of Medical Sciences; Integrative Functional Gastroenterology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
3 Integrative Functional Gastroenterology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
4 Psychosomatic Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
5 Integrative Functional Gastroenterology Research Center; Department of Internal Medicine, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran

Correspondence Address:
Awat Feizi
Isfahan University of Medical Sciences, P. O. Box 319, Hezar-Jerib Ave., Isfahan 81746 73461
Iran

Objectives: The current study aimed to classify study population in homogenous groups based on musculoskeletal complaints and investigate the association of common psychological disorders with musculoskeletal complaints in a large sample of Iranian adults. Methods: Using data from a cross-sectional sample of adult Iranian population (n = 4762), individuals were classified in meaningful subgroups based on their musculoskeletal complaints and the association of common psychological disorders with musculoskeletal complaints was investigated in identified classes using structural equation mixture model. Musculoskeletal complaints score extracted through eight items concerning site-specific or widespread musculoskeletal symptoms. Psychological distress was measured by General Health Questionnaire (GHQ-12). Depression and anxiety were measured using Persian validated version of the Hospital Anxiety and Depression Scale (HADS). Results: Two classes characterised by high (15.5%) and low (84.5%) levels of musculoskeletal complaints, were identified using structural equation mixture modeling. All musculoskeletal symptoms had a higher prevalence among participants allocated to 'high musculoskeletal complaints' class compared to 'low musculoskeletal complaints' class. Severe fatigue and back pain were the most reported complaints. Anxiety, depression and psychological distress were positively associated with musculoskeletal complaints score in identified classes, controlling for sex and age. Anxiety showed a stronger association with musculoskeletal complaints score compared to depression and psychological distress. Conclusions: Musculoskeletal complaints can be summarised in a categorical and dimensional structure in the adult study population. Common psychological disorders including anxiety, depression and psychological distress are significantly associated with musculoskeletal complaints. These findings could be useful for dealing with prevention and treatment programmes.


How to cite this article:
Yazdi M, Feizi A, Keshteli AH, Afshar H, Adibi P. A classification analysis of musculoskeletal complaints and its association with anxiety, depression and psychological distress: Results from a large-scale cross-sectional study of adult Iranian population.Adv Hum Biol 2018;8:180-185


How to cite this URL:
Yazdi M, Feizi A, Keshteli AH, Afshar H, Adibi P. A classification analysis of musculoskeletal complaints and its association with anxiety, depression and psychological distress: Results from a large-scale cross-sectional study of adult Iranian population. Adv Hum Biol [serial online] 2018 [cited 2020 Jun 4 ];8:180-185
Available from: http://www.aihbonline.com/article.asp?issn=2321-8568;year=2018;volume=8;issue=3;spage=180;epage=185;aulast=Yazdi;type=0