Evidence map›Paper›PMID 39629404›Full record

ArticleJournal of family medicine and primary care2024

Bioelectrical impedance analysis predicts prehypertension and hypertension: A hospital-based cross-sectional study.

M Yogesh, Mansi Mody, Jenish Patel, Samyak Shah, Naresh Makwana, Jay Nagda

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Article in Journal of family medicine and primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

M YogeshDepartment of Community Medicine, Shri M. P. Shah Government Medical College, Jamnagar, Gujarat, India.
Mansi ModyDepartment of Internal Medicine Final Year Medical Student, Shri M. P. Shah Government Medical College, Jamnagar, Gujarat, India.
Jenish PatelDepartment of Internal Medicine Final Year Medical Student, Shri M. P. Shah Government Medical College, Jamnagar, Gujarat, India.
Samyak ShahDepartment of Internal Medicine Third-Year Student, Shri M. P. Shah Government Medical College, Jamnagar, Gujarat, India.
Naresh MakwanaDepartment of Internal Medicine Final Year Medical Student, Shri M. P. Shah Government Medical College, Jamnagar, Gujarat, India.
Jay NagdaDepartment of Internal Medicine Final Year Medical Student, Shri M. P. Shah Government Medical College, Jamnagar, Gujarat, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypertension prediction using anthropometry and bioimpedance offers practical advantages for screening. We aimed to analyze various anthropometric and bioelectrical impedance (BIA) estimates as predictive markers of prehypertension and hypertension. Methods: This cross-sectional analysis included 432 adult participants recruited from the medicine outpatient department of a tertiary hospital. Blood pressure measurements; anthropometric measurements of weight, body mass index, waist circumference, and hip circumference; and BIA (Omron HBF 375) were performed for body fat%, resting metabolic rate, visceral fat level, and skeletal muscle percentage. Results: Of the 432 participants comprising 220 males and 212 females, 36.8% were normotensive, 42% were prehypertensive, and 21% were hypertensive. Visceral fat (r 0.662, 95% CI: 0.60-0.72, Conclusion: Multiple BIA estimates, including high visceral fat content, resting metabolic rate, and adipose marker levels combined with low skeletal muscle percentage, were strongly associated with hypertension. Our analysis suggested the superiority of bioimpedance predictors over anthropometry-based prediction modeling alone for screening for hypertension in clinical practice.

Indexed as

Bioelectrical impedance analysisbody compositionhypertensionprehypertensionskeletal muscle massvisceral fat

Identifiers

PMID39629404
PMCPMC11610864

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