Paper Title
TO STUDY THE CORRELETAION OF HYPERTENSION IN STUDENTS WITH BMI ABOVE 24.9
Article Identifiers
Authors
Saurabh Patil , Dr Chitra Mridha
Keywords
BMI, blood pressure, systolic bp, diastolic bp, obese, overweight.
Abstract
Objective: To study the correlation of hypertension in students with BMI above 24.9. Method: To start the survey Subjects will be selected according to inclusion criteria and Exclusion criteria. Anthropometric measurements (weight and height) will be taken using the weighing scale and stadiometer, respectively according to need for study BMI will be calculated BMI=weight/height2 and their hypertension is studied if present. BP was recorded using digital sphygmomanometer. Result: In this study significant association was seen between normal SBP and the subjects with BMI more than 24.9 with P value 0.02. Conclusion: this study shows thst there is no significant association of BMI with both hypertensive Systolic and Diastolic BP. Moreover, the results also indicated that there was strong correlation between BMI and Normal systolic blood pressure (SBP).
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"TO STUDY THE CORRELETAION OF HYPERTENSION IN STUDENTS WITH BMI ABOVE 24.9", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 11, page no.a437-a450, November-2022, Available :https://ijnrd.org/papers/IJNRD2211048.pdf
Issue
Volume 7 Issue 11, November-2022
Pages : a437-a450
Other Publication Details
Paper Reg. ID: IJNRD_183798
Published Paper Id: IJNRD2211048
Downloads: 000121128
Research Area: Health ScienceÂ
Country: Buldhana, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2211048.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2211048
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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