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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
| Content Provider | MDPI |
|---|---|
| Author | Israel, A. Almodóvar-Rivera Johan, Hernández-Santiago Farah, A. Ramírez-Marrero Rosario-Rosado, Rosa V. Nazario, Cruz M. Nunez, Maxime Maharaj, Rohan Adams, Peter Martinez-Brockman, Josefa L. Tessier-Sherman, Baylah Nunez-Smith, Marcella |
| Copyright Year | 2022 |
| 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. |
| Starting Page | 10415 |
| e-ISSN | 16604601 |
| DOI | 10.3390/ijerph191610415 |
| Journal | International Journal of Environmental Research and Public Health |
| Issue Number | 16 |
| Volume Number | 19 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-08-21 |
| Access Restriction | Open |
| Subject Keyword | International Journal of Environmental Research and Public Health Anthropometric Grouping Index Cluster Analysis Distribution-free Pairwise Overlap Echorn Caribbean Population |
| Content Type | Text |
| Resource Type | Article |
