Examining Race-Related Error in Two-Compartment Models of Body Composition Assessment: A Systematic Review and Meta-Analysis.
J Clin Densitom
; 24(1): 156-168, 2021.
Article
em En
| MEDLINE
| ID: mdl-31810770
ABSTRACT
BACKGROUND:
The Brozek and Siri formulas estimate relative adiposity (%Fat) from total body density (Db) using a 2-compartment (2C) model. Racial/ethnic differences in Db have been reported, along with subsequent errors in estimated %Fat.OBJECTIVE:
The primary aim of this systematic review and meta-analysis was to examine potential race/ethnic differences in the accuracy of the Brozek and Siri 2C formulas using aggregate-level data.METHODS:
Peer-reviewed studies available in English that provided 2C and 4C estimates of %Fat were located using searches of the PubMed (nâ¯=â¯150), Scopus (nâ¯=â¯170), and Web of Science (nâ¯=â¯138) online electronic databases. Random-effects models were used to determine potential differences between racial groups using a mean ES and 95% confidence intervals.RESULTS:
The cumulative results from 78 effects indicate that the relative accuracy of the Brozek equation did not vary between racial groups (between group p = 0.053). In contrast, the Siri equation slightly underestimated %Fat for Asian adults (ESWMD = -1.40%, 95%CI -2.33% to -0.46%; p = 0.004) and Black adults (ESWMD = -1.10%, 95%CI -2.11% to -0.08%; p = 0.034), with no significant differences observed in Hispanic adults (ESWMDâ¯=â¯0.64%, 95%CI -1.02% to 2.31%; p = 0.448) and White adults (ESWMDâ¯=â¯0.08%, 95%CI -0.42% to 0.57%; p = 0.766) (between group p = 0.019).CONCLUSION:
Small, but statistically significant, error was found between racial groups when estimating %Fat using the 2C Siri equation when compared to 4C models. However, the observed error due to race/ethnicity appears to be of little clinical or practical significance when using either equation.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Composição Corporal
/
Hispânico ou Latino
Tipo de estudo:
Systematic_reviews
Limite:
Adult
/
Humans
Idioma:
En
Ano de publicação:
2021
Tipo de documento:
Article