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Pattern and Predicting Risk Factors of Multi-Morbidity in the AzarCohort Population Using Structural Equation Model
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  • Mohammad-Hossein Somi,
  • Alireza Ostadrahimi,
  • Neda Gilani,
  • Arash Haji Kamanaj,
  • Sina Hassannezhad,
  • Elnaz Faramarzi
Mohammad-Hossein Somi
Tabriz University of Medical Sciences
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Alireza Ostadrahimi
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Neda Gilani
Department of Statistics and Epidemiology, Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran.
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Arash Haji Kamanaj
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Sina Hassannezhad
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Elnaz Faramarzi
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Abstract

Background: The co-existence of chronic diseases (CD), a condition defined as multimorbidity (MM), is becoming a major public health issue. Understanding the general framework of MM diseases according to the well-known risk factors can assist in finding direct and indirect relationships among them. Therefore, we aimed to determine pattern and predicting risk factors of multi-morbidity in the Azar Cohort population using Structural Equation Model (SEM). Methods: In this study, the prevalence of MM in 15006 XXX cohort population was evaluated. MM was defined as the co-existence of two or more CDs. The information regarding socio-economic, demographic, sleeping habits, and physical activity were collected by questionnaires. A multi-group SEM was employed to model complex relationships between directly- and indirectly-observed variables. Results: The overall MM was seen in 28.8% of the population. The most prevalent chronic diseases were obesity, hypertension, depression, and diabetes, respectively. Obesity, depression, and diabetes were the most co-occurring CDs in our population. The SEM diagram indicated the overall effect of socio-demographic (predictors) and sleep and physical activity (mediators) on the number of CDs. The number of CDs in the active participants and those who sleep 6.6-7.3 hours/day was lower than the inactive participants and those who sleep ≤6.5 hours/day. Conclusions: According to our results, it seems that the reduction of MM is possible through promoting public health from an early age and for a wide range of socio-economic conditions, provided that the necessary support for general health is offered for the aging population.

Peer review status:UNDER REVIEW

12 Apr 2021Submitted to International Journal of Clinical Practice
12 May 2021Assigned to Editor
12 May 2021Submission Checks Completed
06 Jun 2021Reviewer(s) Assigned