Anthropometric cut-offs for screening metabolic syndrome in a Nigerian population in southeast Nigeria
DOI:
https://doi.org/10.48047/Keywords:
Anthropometry, metabolic syndrome, abdominal volume index, obesity, predictorsAbstract
Background: The use of anthropometric measures for assessment of metabolic syndrome
(MetS) could provide a safe, rapid, effective and inexpensive method to screen MetS, but
there has not been consensus on the best anthropometric indicators and cut-off points.
Objective. The goal of this study is to determine the ability of 11 anthropometric indicators to
predict MetS in a Nigerian population. Methods: A total of 4,168 subjects aged 20 to 50
years were recruited from southeast Nigeria between September 2017 and August 2018 for a
cross-sectional study. MetS was defined based on the International Diabetes Federation (IDF)
criteria. We used the receiver operating characteristic (ROC) curves to evaluate balance between
sensitivity and specificity to predict MetS and its factors.
