Identification of Hemoglobin Levels Based on Anthropometric Indices in Elderly Koreans

Bum Ju Lee and Jong Yeol Kim

PLOS ONE, 2016, vol. 11, issue 11, 1-12

Abstract: Objectives: Anemia is independently and strongly associated with an increased risk of mortality in older people and is also strongly associated with obesity. The objectives of the present study were to examine the associations between the hemoglobin level and various anthropometric indices, to predict low and normal hemoglobin levels using combined anthropometric indices, and to assess differences in the hemoglobin level and anthropometric indices between Korean men and women. Methods: A total of 7,156 individuals ranging in age from 53–90 years participated in this retrospective cross-sectional study. Binary logistic regression (LR) and naïve Bayes (NB) models were used to identify significant differences in the anthropometric indices between subjects with low and normal hemoglobin levels and to assess the predictive power of these indices for the hemoglobin level. Results: Among all of the variables, age displayed the strongest association with the hemoglobin level in both men (p

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0165622

DOI: 10.1371/journal.pone.0165622

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