Body composition estimates from bioelectrical impedance and its association with cardiovascular risk

African Journal of Primary Health Care & Family Medicine

 
 
Field Value
 
Title Body composition estimates from bioelectrical impedance and its association with cardiovascular risk
 
Creator Kistan, Jesne Wing, Jeffrey Tshabalala, Khanyisile van Hougenhouck-Tulleken, Wesley Basu, Debashis
 
Subject Family medicine; Primary health care; Public Health Medicine body composition; bioelectrical impedance; cardiovascular risk; South Africa; Primary health care
Description Background: Screening for traditional risk factors of cardiovascular disease is well known in primary healthcare (PHC) settings. However, other risk factors through newer tools (such as bioelectrical impedance analysis [BIA]) could also be predictors of increased cardiovascular risk (CVR). Body composition estimates (body fat percentage, body water percentage, body lean mass) by BIA and its association to CVR have been studied with variable results.Aim: This study assesses the body composition estimates and their association with CVR in the South African PHC setting.Methods: A retrospective record analysis was conducted on a cohort of de-identified patients utilising the ABBY® Health Check Machine at a PHC facility in South Africa between May 2020 and August 2022. The ABBY Machine estimates body fat percentage (BF%) and body water percentage (BW%) estimates from BIA. Cardiovascular risk based on the Framingham-risk-score was stratified into high, medium and low CVR. An analysis of variance was used to determine mean differences of BF% and BW% among these groups.Results: A total of 4008 records (n = 4008) were used in the final analysis. The majority of patients were female (70.1%) with a mean age of 33.6 years. Higher mean BF% (35.75% vs. 31.10% vs. 27.73%; p  0.0001) and lower mean BW% (49.46% vs. 53.15% vs. 56.18%; p = 0000) were found to be significantly associated with high CVR.Lessons Learnt: This study demonstrated the use of newer technologies that could assist in the identification of CVR in low resource PHC settings.
 
Publisher AOSIS
 
Contributor SANDLER & CO cc
Date 2024-10-09
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — cross-section;
Format text/html application/epub+zip text/xml application/pdf
Identifier 10.4102/phcfm.v16i1.4587
 
Source African Journal of Primary Health Care & Family Medicine; Vol 16, No 1 (2024); 4 pages 2071-2936 2071-2928
 
Language eng
 
Relation
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:

https://phcfm.org/index.php/phcfm/article/view/4587/7618 https://phcfm.org/index.php/phcfm/article/view/4587/7620 https://phcfm.org/index.php/phcfm/article/view/4587/7621 https://phcfm.org/index.php/phcfm/article/view/4587/7622
 
Coverage South Africa 2020-2022 adult; both gender; all ethnicity
Rights Copyright (c) 2024 Jesne Kistan, Jeffrey Wing, Khanyisile Tshabalala, Wesley van Hougenhouck-Tulleken, Debashis Basu https://creativecommons.org/licenses/by/4.0
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