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Identification of Hemoglobin Levels Based on Anthropometric Indices in Elderly Koreans

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 predi...

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Autores principales: Lee, Bum Ju, Kim, Jong Yeol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5094659/
https://www.ncbi.nlm.nih.gov/pubmed/27812118
http://dx.doi.org/10.1371/journal.pone.0165622
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author Lee, Bum Ju
Kim, Jong Yeol
author_facet Lee, Bum Ju
Kim, Jong Yeol
author_sort Lee, Bum Ju
collection PubMed
description 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 < 0.0001, odds ratio [OR] = 0.487, area under the receiver operating characteristic curve based on the LR [LR-AUC] = 0.702, NB-AUC = 0.701) and women (p < 0.0001, OR = 0.636, LR-AUC = 0.625, NB-AUC = 0.624). Among the anthropometric indices, weight and body mass index (BMI) were the best predictors of the hemoglobin level. The predictive powers of all of the variables were higher in men than in women. The AUC values for the NB-Wrapper and LR-Wrapper predictive models generated using combined anthropometric indices were 0.734 and 0.723, respectively, for men and 0.649 and 0.652, respectively, for women. The use of combined anthropometric indices may improve the predictive power for the hemoglobin level. DISCUSSION: Among the various anthropometric indices, with the exception of age, we did not identify any indices that were better predictors than weight and BMI for low and normal hemoglobin levels. In addition, none of the ratios between pairs of indices were good indicators of the hemoglobin level. Finally, the Korean men tended to have higher associations between the anthropometric indices and anemia than the women.
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spelling pubmed-50946592016-11-18 Identification of Hemoglobin Levels Based on Anthropometric Indices in Elderly Koreans Lee, Bum Ju Kim, Jong Yeol PLoS One Research Article 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 < 0.0001, odds ratio [OR] = 0.487, area under the receiver operating characteristic curve based on the LR [LR-AUC] = 0.702, NB-AUC = 0.701) and women (p < 0.0001, OR = 0.636, LR-AUC = 0.625, NB-AUC = 0.624). Among the anthropometric indices, weight and body mass index (BMI) were the best predictors of the hemoglobin level. The predictive powers of all of the variables were higher in men than in women. The AUC values for the NB-Wrapper and LR-Wrapper predictive models generated using combined anthropometric indices were 0.734 and 0.723, respectively, for men and 0.649 and 0.652, respectively, for women. The use of combined anthropometric indices may improve the predictive power for the hemoglobin level. DISCUSSION: Among the various anthropometric indices, with the exception of age, we did not identify any indices that were better predictors than weight and BMI for low and normal hemoglobin levels. In addition, none of the ratios between pairs of indices were good indicators of the hemoglobin level. Finally, the Korean men tended to have higher associations between the anthropometric indices and anemia than the women. Public Library of Science 2016-11-03 /pmc/articles/PMC5094659/ /pubmed/27812118 http://dx.doi.org/10.1371/journal.pone.0165622 Text en © 2016 Lee, Kim http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lee, Bum Ju
Kim, Jong Yeol
Identification of Hemoglobin Levels Based on Anthropometric Indices in Elderly Koreans
title Identification of Hemoglobin Levels Based on Anthropometric Indices in Elderly Koreans
title_full Identification of Hemoglobin Levels Based on Anthropometric Indices in Elderly Koreans
title_fullStr Identification of Hemoglobin Levels Based on Anthropometric Indices in Elderly Koreans
title_full_unstemmed Identification of Hemoglobin Levels Based on Anthropometric Indices in Elderly Koreans
title_short Identification of Hemoglobin Levels Based on Anthropometric Indices in Elderly Koreans
title_sort identification of hemoglobin levels based on anthropometric indices in elderly koreans
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5094659/
https://www.ncbi.nlm.nih.gov/pubmed/27812118
http://dx.doi.org/10.1371/journal.pone.0165622
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