ArticleWorld journal of orthopedics2024
Construction and validation of a risk prediction model for depressive symptoms in a middle-aged and elderly arthritis population.
Article in World journal of orthopedics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundArthritis is a prevalent and debilitating condition that affects a significant proportion of middle-aged and older adults worldwide. Characterized by chronic pain, inflammation, and joint dysfunction, arthritis can severely impact physical function, quality of life, and mental health. The overall burden of arthritis is further compounded in this population due to its frequent association with depression. As the global population both the prevalence and severity of arthritis are anticipated to increase.
aimTo investigate depressive symptoms in the middle-aged and elderly arthritic population in China, a risk prediction model was constructed, and its effectiveness was validated.
methodsUsing the China Health and Retirement Longitudinal Study 2018 data on middle-aged and elderly arthritic individuals, the population was randomly divided into a training set (
resultsThe prevalence of depressive symptoms in the middle-aged and elderly arthritis population in China was 47.1%, multifactorial logistic regression analyses revealed that gender, age, number of chronic diseases, number of pain sites, nighttime sleep time, education, audiological status, health status, and place of residence were all predictors of depressive symptoms. The area under the curve values for the training and validation sets were 0.740 (95% confidence interval: 0.726-0.755) and 0.731 (95% confidence interval: 0.709-0.754), respectively, indicating good model differentiation. The calibration curves demonstrated good prediction accuracy, and the decision curve analysis curves demonstrated good clinical utility.
conclusionThe risk prediction model developed in this study has strong predictive performance and is useful for screening and assessing depression symptoms in middle-aged and elderly arthritis patients.
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