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ORIGINAL ARTICLE
Year : 2020  |  Volume : 21  |  Issue : 2  |  Page : 95-100

Assessment of psychiatric variables in geriatric patients diagnosed with different types of osteoarthritis: Radiographic-based evidences


1 Student, Department of Clinical Pharmacy and PharmD, Vaagdevi College of Pharmacy, Warangal, Telangana, India
2 Professor, Department of Orthopedics, Kakatiya Medical College, Mahatma Gandhi Memorial Hospital, Warangal, Telangana, India
3 Associate Professor, Department of Clinical Pharmacy and Pharm D, Vaagdevi College of Pharmacy, Warangal, Telangana, India
4 Principal, Department of Clinical Pharmacy, Jayamukhi College of Pharmacy, Kakatiya University, Warangal, Telangana, India
5 Head, Department of Clinical Pharmacy and Pharm D, Vaagdevi College of Pharmacy, Kakatiya University, Mahatma Gandhi Memorial Hospital, Warangal, Telangana, India

Correspondence Address:
Dr. Venkateshwarlu Eggadi
9-1-175/1, Vishwakarma Street, Warangal - 506 002, Telangana
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/AMH.AMH_35_20

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Context: Osteoarthritis (OA) is the most prevalent musculoskeletal condition in the world and is the most common cause of joint disability in approximately 15% of the total world population. The severity of the disease increases with age. It can have adverse effects on mental stability and is associated with poor clinical prognosis. Aim: The aim of the study is to assess psychiatric variables (depression, anxiety, and perceived stress) in geriatric patients diagnosed with OA based on radiographic evidence and the item(s)/question(s) from questionnaires influencing their emotional instability. Settings and Design: The prospective observational study was conducted in a tertiary care Mahatma Gandhi Memorial Hospital, Warangal. Subjects and Methods: The study conducted for a period of 6 months and encompasses 158 elders with different types of OA. Standardized questionnaires were used to assess psychiatric variables. Statistical Analysis Used: Statistical analysis was conducted using Microsoft Excel 2019 and IBM SPSS Statistics for Windows, Version 22.0. (IBM Corp, Armonk, NY, USA). Results: The results of Pillai's trace revealed the scores of depression and anxiety as severe and perceived stress as moderate. Linear logistic regression stepwise disclosed the order of included variables affecting depression, anxiety, and perceived stress based on their level of significance (P < 0.05). Conclusion: The findings in our study exemplify a strong correlation between psychiatric variables and OA.


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