# Mapping the intersection of social status and comorbidity in knee osteoarthritis: A WOMAC-based study

## TL;DR

This study explores how social factors and health conditions affect the severity of knee osteoarthritis in Bangladesh.

## Contribution

The study identifies key predictors of knee OA severity, emphasizing social and comorbid factors in a low-resource setting.

## Key findings

- Age, obesity, and diabetes were the strongest predictors of severe knee OA symptoms.
- Women and individuals over 70 years old were more likely to experience severe symptoms.
- Low education, obesity, diabetes, and cardiovascular disease were linked to higher OA severity.

## Abstract

Knee osteoarthritis (OA) is a disabling joint condition that leads to extreme morbidityand quality of life impairment, particularly among older adults. This study aimed to investigate the socio-demographic factors and comorbid conditions influencing the severity of symptoms of knee OA using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Data were derived from 622 patients across 9 months from the major healthcare facilities of Dhaka. This study found age, sex, educational status, obesity, diabetes mellitus, and cardiovascular disease (CVD) were predictors for the severity of symptoms of OA of the knee. Female participants were more prone to have severe symptoms compared to males, and those who were more than 70-years-old were at greater risk of severe symptoms. Low educational status, obesity, diabetes mellitus, and CVD were also predictors for severe OA of the knee. Age (p < 0.001), obesity (p < 0.001), and diabetes (p < 0.001) were the best predictors of severity of symptoms based on the multinomial logistic regression analysis. The findings from the study highlighted the associated factors of knee OA and the need for integral healthcare measures that address both the socio-economic and the physical determinants. Focused interventions need to be employed, particularly for high-risk groups such as the elderly, women, and the comorbid, to minimize the incidence of OA of the knee and maximize the outcomes for patients in settings such as that of Bangladesh, where resources may not be available.