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Development of the Anthropometric Grouping Index for the Eastern Caribbean Population Using the Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study Data
Improving public health initiative requires an accurate anthropometric index that is better suited to a specific community. In this study, the anthropometric grouping index is proposed as a more efficient and discriminatory alternative to the popular BMI for the Eastern Caribbean population. A compl...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9408472/ https://www.ncbi.nlm.nih.gov/pubmed/36012047 http://dx.doi.org/10.3390/ijerph191610415 |
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author | Almodóvar-Rivera, Israel A. Rosario-Rosado, Rosa V. Nazario, Cruz M. Hernández-Santiago, Johan Ramírez-Marrero, Farah A. Nunez, Maxime Maharaj, Rohan Adams, Peter Martinez-Brockman, Josefa L. Tessier-Sherman, Baylah Nunez-Smith, Marcella |
author_facet | Almodóvar-Rivera, Israel A. Rosario-Rosado, Rosa V. Nazario, Cruz M. Hernández-Santiago, Johan Ramírez-Marrero, Farah A. Nunez, Maxime Maharaj, Rohan Adams, Peter Martinez-Brockman, Josefa L. Tessier-Sherman, Baylah Nunez-Smith, Marcella |
author_sort | Almodóvar-Rivera, Israel A. |
collection | PubMed |
description | Improving public health initiative requires an accurate anthropometric index that is better suited to a specific community. In this study, the anthropometric grouping index is proposed as a more efficient and discriminatory alternative to the popular BMI for the Eastern Caribbean population. A completely distribution-free cluster analysis was performed to obtain the 11 categories, leading to AGI-11. Further, we studied these groups using novel non-parametric clustering summaries. Finally, two generalized linear mixed models were fitted to assess the association between elevated blood sugar, AGI-11 and BMI. Our results showed that AGI-11 tends to be more sensitive in predicting levels of elevated blood sugar compared to BMI. For instance, individuals identified as obese III according to BMI are (POR: 2.57; 95% CI: (1.68, 3.74)) more likely to have elevated blood sugar levels, while, according to AGI, individuals with similar characteristics are (POR: 3.73; 95% CI: (2.02, 6.86)) more likely to have elevated blood sugar levels. In conclusion, the findings of the current study suggest that AGI-11 could be used as a predictor of high blood sugar levels in this population group. Overall, higher values of anthropometric measures correlated with a higher likelihood of high blood sugar levels after adjusting by sex, age, and family history of diabetes. |
format | Online Article Text |
id | pubmed-9408472 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94084722022-08-26 Development of the Anthropometric Grouping Index for the Eastern Caribbean Population Using the Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study Data Almodóvar-Rivera, Israel A. Rosario-Rosado, Rosa V. Nazario, Cruz M. Hernández-Santiago, Johan Ramírez-Marrero, Farah A. Nunez, Maxime Maharaj, Rohan Adams, Peter Martinez-Brockman, Josefa L. Tessier-Sherman, Baylah Nunez-Smith, Marcella Int J Environ Res Public Health Article Improving public health initiative requires an accurate anthropometric index that is better suited to a specific community. In this study, the anthropometric grouping index is proposed as a more efficient and discriminatory alternative to the popular BMI for the Eastern Caribbean population. A completely distribution-free cluster analysis was performed to obtain the 11 categories, leading to AGI-11. Further, we studied these groups using novel non-parametric clustering summaries. Finally, two generalized linear mixed models were fitted to assess the association between elevated blood sugar, AGI-11 and BMI. Our results showed that AGI-11 tends to be more sensitive in predicting levels of elevated blood sugar compared to BMI. For instance, individuals identified as obese III according to BMI are (POR: 2.57; 95% CI: (1.68, 3.74)) more likely to have elevated blood sugar levels, while, according to AGI, individuals with similar characteristics are (POR: 3.73; 95% CI: (2.02, 6.86)) more likely to have elevated blood sugar levels. In conclusion, the findings of the current study suggest that AGI-11 could be used as a predictor of high blood sugar levels in this population group. Overall, higher values of anthropometric measures correlated with a higher likelihood of high blood sugar levels after adjusting by sex, age, and family history of diabetes. MDPI 2022-08-21 /pmc/articles/PMC9408472/ /pubmed/36012047 http://dx.doi.org/10.3390/ijerph191610415 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Almodóvar-Rivera, Israel A. Rosario-Rosado, Rosa V. Nazario, Cruz M. Hernández-Santiago, Johan Ramírez-Marrero, Farah A. Nunez, Maxime Maharaj, Rohan Adams, Peter Martinez-Brockman, Josefa L. Tessier-Sherman, Baylah Nunez-Smith, Marcella Development of the Anthropometric Grouping Index for the Eastern Caribbean Population Using the Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study Data |
title | Development of the Anthropometric Grouping Index for the Eastern Caribbean Population Using the Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study Data |
title_full | Development of the Anthropometric Grouping Index for the Eastern Caribbean Population Using the Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study Data |
title_fullStr | Development of the Anthropometric Grouping Index for the Eastern Caribbean Population Using the Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study Data |
title_full_unstemmed | Development of the Anthropometric Grouping Index for the Eastern Caribbean Population Using the Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study Data |
title_short | Development of the Anthropometric Grouping Index for the Eastern Caribbean Population Using the Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study Data |
title_sort | development of the anthropometric grouping index for the eastern caribbean population using the eastern caribbean health outcomes research network (echorn) cohort study data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9408472/ https://www.ncbi.nlm.nih.gov/pubmed/36012047 http://dx.doi.org/10.3390/ijerph191610415 |
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