Establishing and testing a multiple regression equation to predict body fat from height, weight, waist circumference, and hip circumference

Pawan Kumar Jha; Subhasis Mukherjee; Purab Kalyan Modak; Sharada Mayee Swain

doi:10.5455/njppp.2022.12.04162199911042022

2023, Vol: 13, Issue: 5

13/5Current Issue Online First Archive Aims and Scope Abstracting & Indexing Most Accessed Articles Most Downloaded Articles Most Cited Articles

Required files to be uploaded

Authorship Declaration

« Previous Article

Original Research

Natl J Physiol Pharm Pharmacol. 2022; 12(5): 695-698

doi: 10.5455/njppp.2022.12.04162199911042022

Establishing and testing a multiple regression equation to predict body fat from height, weight, waist circumference, and hip circumference

Pawan Kumar Jha, Subhasis Mukherjee, Purab Kalyan Modak, Sharada Mayee Swain.

Abstract
Background: Body fat measurement requires a dedicated device and careful preparation of the subjects concerning food and water intake, exercise, precautions about alcohol intake, or any other condition that may change the hydration status of the subject. If simple anthropometric parameters can be used to estimate body fat that may help clinicians to know the body without measuring it.

Aim and Objectives: The aim of the study was to find a regression equation to estimate body fat from height, weight, waist circumference (WC), and hip circumference (HC).

Materials and Methods: First, we measured the height, weight, WC, HC, and body fat of 80 individuals with proper care for bioelectric impedance analysis. Then, this data were used to find multiple regression equation. Then, the equation was tested with 20 individuals where we measured the height, weight, WC, and HC and put those data into the equation to estimate body fat.

Results: The mean age of participants was 28.12 ± 3.45 years. The height, weight, WC, and HC all contributed statistically significantly to the prediction of body fat, F (4.75) = 31.17 P < 0.0001. The established regression equation was: Body fat = 40.134 - (height in cm × 0.271) + (weight in kg × 0.412) + (WC in cm × 0.052) + (HC in cm × 0.067). During the test of the equation, measured mean fat (36.79 ± 2.64%) was not statistically different (P = 0.75) from estimated body fat (36.6 ± 3.23%).

Conclusion: A multiple regression equation was formulated to estimate body fat from the height, weight, WC, and HC of an individual. This equation successfully estimated body fat from the anthropometric parameters. A further large-scale study is needed to find a more generalized estimation equation.

Key words: Anthropometry; Body Fat; Regression Equation; Body Mass Index; Obesity

	ARTICLE TOOLS
	Abstract
	PDF Fulltext
	How to cite this article
	Citation Tools
	Related Records
	Articles by Pawan Kumar Jha Articles by Subhasis Mukherjee Articles by Purab Kalyan Modak Articles by Sharada Mayee Swain
	on Google
	on Google Scholar

How to Cite this Article

Pubmed Style

Jha PK, Mukherjee S, Modak PK, Swain SM. Establishing and testing a multiple regression equation to predict body fat from height, weight, waist circumference, and hip circumference. Natl J Physiol Pharm Pharmacol. 2022; 12(5): 695-698. doi:10.5455/njppp.2022.12.04162199911042022

Web Style

Jha PK, Mukherjee S, Modak PK, Swain SM. Establishing and testing a multiple regression equation to predict body fat from height, weight, waist circumference, and hip circumference. https://www.njppp.com/?mno=14458 [Access: May 01, 2023]. doi:10.5455/njppp.2022.12.04162199911042022

AMA (American Medical Association) Style

Jha PK, Mukherjee S, Modak PK, Swain SM. Establishing and testing a multiple regression equation to predict body fat from height, weight, waist circumference, and hip circumference. Natl J Physiol Pharm Pharmacol. 2022; 12(5): 695-698. doi:10.5455/njppp.2022.12.04162199911042022

Vancouver/ICMJE Style

Jha PK, Mukherjee S, Modak PK, Swain SM. Establishing and testing a multiple regression equation to predict body fat from height, weight, waist circumference, and hip circumference. Natl J Physiol Pharm Pharmacol. (2022), [cited May 01, 2023]; 12(5): 695-698. doi:10.5455/njppp.2022.12.04162199911042022

Harvard Style

Jha, P. K., Mukherjee, . S., Modak, . P. K. & Swain, . S. M. (2022) Establishing and testing a multiple regression equation to predict body fat from height, weight, waist circumference, and hip circumference. Natl J Physiol Pharm Pharmacol, 12 (5), 695-698. doi:10.5455/njppp.2022.12.04162199911042022

Turabian Style

Jha, Pawan Kumar, Subhasis Mukherjee, Purab Kalyan Modak, and Sharada Mayee Swain. 2022. Establishing and testing a multiple regression equation to predict body fat from height, weight, waist circumference, and hip circumference. National Journal of Physiology, Pharmacy and Pharmacology, 12 (5), 695-698. doi:10.5455/njppp.2022.12.04162199911042022

Chicago Style

Jha, Pawan Kumar, Subhasis Mukherjee, Purab Kalyan Modak, and Sharada Mayee Swain. "Establishing and testing a multiple regression equation to predict body fat from height, weight, waist circumference, and hip circumference." National Journal of Physiology, Pharmacy and Pharmacology 12 (2022), 695-698. doi:10.5455/njppp.2022.12.04162199911042022

MLA (The Modern Language Association) Style

Jha, Pawan Kumar, Subhasis Mukherjee, Purab Kalyan Modak, and Sharada Mayee Swain. "Establishing and testing a multiple regression equation to predict body fat from height, weight, waist circumference, and hip circumference." National Journal of Physiology, Pharmacy and Pharmacology 12.5 (2022), 695-698. Print. doi:10.5455/njppp.2022.12.04162199911042022

APA (American Psychological Association) Style

Jha, P. K., Mukherjee, . S., Modak, . P. K. & Swain, . S. M. (2022) Establishing and testing a multiple regression equation to predict body fat from height, weight, waist circumference, and hip circumference. National Journal of Physiology, Pharmacy and Pharmacology, 12 (5), 695-698. doi:10.5455/njppp.2022.12.04162199911042022

Author Login Reviewer Login About Publisher Editorial Policies Peer Review Policy Editorial & Peer Review Process Publication Ethics and Publication Malpractice Statement Conflict of Interest Policy Plagiarism Policy Protection of Research Participants (Statement On Human And Animal Rights)Corrections, Retractions & Expressions of Concern Self-Archiving Policies Statement of Informed Consent Advertising Policy Terms of Use License Information Copyright Information



Copyright © 2023 National Journal of Physiology, Pharmacy and Pharmacology All Rights Reserved. Subject to change without notice from or liability to National Journal of Physiology, Pharmacy and Pharmacology. For best results, please use Internet Explorer or Google Chrome	Contact Information Publisher publishernjppp@gmail.com Editorial query editornjppp1@gmail.com MOB - 8780040272

Contact Information

How to cite this article