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ORIGINAL ARTICLE
Year : 2020  |  Volume : 8  |  Issue : 1  |  Page : 19-21

A Cross-sectional study on screening for knee osteoarthritis and associated factors in a rural area of India


1 Final MBBS Part-1 Student, Konaseema Institute of Medical Sciences and Research Foundation (KIMS&RF), Amalapuram, Andhra Pradesh, India
2 Professor and Head of Department, Department of Community Medicine, Konaseema Institute of Medical Sciences and Research Foundation (KIMS&RF), Amalapuram, Andhra Pradesh, India
3 Final MBBS Part-2 Student, Konaseema Institute of Medical Sciences and Research Foundation (KIMS&RF), Amalapuram, Andhra Pradesh, India

Correspondence Address:
Mr. Lakshmi Venkata Simhachalam Kutikuppala
Final MBBS Part-1, Konaseema Institute of Medical Sciences and Research Foundation, Chaitanya Nagar, NH-216, Amalapuram - 533 201, Andhra Pradesh
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/JIHS.JIHS_4_20

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Background: Osteoarthritis (OA) is a degenerative disease that worsens over time after fourth decade of life. It accounts for the decrease in activities of daily living in the elderly population. Hence, early diagnosis and treatment are essential to increase the quality of life. Objectives: The objective is to identify the high risk people for OA in a rural area and to find out the significant factors associated to OA among the rural population. Materials and Methods: Cross-sectional study among rural population with a convenient sample size of 100 in which 50 were male and 50 were female. Institutional ethics committee approval was taken. Informed written consent was obtained from the participants. Data collection procedure employed was Western Ontario and McMaster Universities (WOMAC) OA index. Statistical analysis was done by Epi-info statistical software package version 3.5.4 for data analysis. Results: According to WOMAC Index 38% of the subjects belonged to high risk and 62% belonged to low risk. Age group, gender, and family history were significantly associated with these scores. Conclusion: In a resource poor setting, questionnaire-based tool to detect high risk individuals for OA at an early stage is useful in reducing the morbidity.


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