ArticlePloS one2016
Identification of Hemoglobin Levels Based on Anthropometric Indices in Elderly Koreans.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Novel Anthropometric Indices and Probability of Adequate Nutrient Intake in the Older Polish Population.Nutrients · 2025Article
- Relationship between Anemia and Anthropometric Profile in Tabari Cohort Population: A Case-Control Study.Journal of research in health sciences · 2025Article
- Association of menopausal status with body composition and anthropometric indices in Korean women.PloS one · 2024Article
- Association between anemia and grip strength indices combined with anthropometry in the Korean population.Scientific reports · 2023Article
- Hematological indices reference intervals for a healthy Arab population in Qatar: Effect of age, gender, and geographic location.Medicine · 2022Article
- Haemoglobin status to determine nutritional anaemia and its association with breakfast skipping and BMI among nursing undergraduates of Farasan Island, KSA.Journal of nutritional science · 2022Article
- Prevalence of anemia and associated factors among the elderly population in South Khorasan, Birjand, 2019.Medical journal of the Islamic Republic of Iran · 2021Article
- Anthropometric Markers With Specific Cut-Offs Can Predict Anemia Occurrence Among Malaysian Young Adults.Frontiers in physiology · 2021Article
- Identification of metabolic syndrome using phenotypes consisting of triglyceride levels with anthropometric indices in Korean adults.BMC endocrine disorders · 2020Article
- A comparison of trunk circumference and width indices for hypertension and type 2 diabetes in a large-scale screening: a retrospective cross-sectional study.Scientific reports · 2018Article
- Mid-arm muscle circumference as a surrogate in predicting insulin resistance in non-obese elderly individuals.Oncotarget · 2017Article
- Association of peptic ulcer disease with obesity, nutritional components, and blood parameters in the Korean population.PloS one · 2017Article
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2 authors.
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Abstract
objectivesAnemia 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.
methodsA 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.
resultsAmong 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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