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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      05 July-September 2023, Volume 38 Issue 4
    Article

    “A STUDY TO ASSESS THE KNOWLEDGE REGARDING WARNING SIGNS OF OSTEOPOROSIS AMONG GERIATRIC IN SELECTED AREAS OF PUNE CITY.”
    Ramesh Bidari*, Ketaki Kadam, Shweta Bandal, Dhiraj Gawali
    Journal of Data Acquisition and Processing, 2023, 38 (4): 2050-2055 . 

    Abstract

    Introduction: Osteoporosis is a condition that causes bones to become weak and brittle, and it can increase the risk of fractures. Some of the common causes of osteoporosis are age, sex, menopause, family history, low body weight, smoking, alcohol consumption, poor nutrition, lack of exercise, and certain medications or diseases. Osteoporosis can be caused by various factors such as age, sex, menopause, family history, low body weight, smoking, alcohol consumption, poor nutrition, lack of exercise, and certain medications or diseases. The objectives of the study: To assess the knowledge regarding warning signs of osteoporosis among the geriatric & to associate knowledge findings with their demographic variables. Research methodology: In this study we used quantitative research approach. A descriptive research design was selected as the investigation's study methodology. The non-probability convenient sampling technique was used. The sample consists of 100 geriatric in the selected areas of Pune city who had fulfilled the inclusion criteria. The reliability of tool was done on 10 participants the value was 0.84 and tool found reliable. Result: Knowledge regarding warning sign of osteoporosis, which reflects that majority63% of samples, were having average knowledge, 37% were having good knowledge. Mean score was 10.21 along with 1.18 SD. Demographic variables such as no any significant association with age, Occupation, gender and past history of bone disease. Qualification has significant association with knowledge as the p value is more than 0.05.

    Keyword

    Warning signs, Osteoporosis, Weak and brittle, Alcohol consumption, Menopause.


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