Optimal cut-points of different anthropometric indices and their joint effect in prediction of type 2 diabetes: results of a cohort study.
- DOI
- 10.1186/s12889-018-5611-6
- Published
- 2018 Jun 5
- Container
- BMC public health
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1186/s12889-018-5611-6,
title = {Optimal cut-points of different anthropometric indices and their joint effect in prediction of type 2 diabetes: results of a cohort study.},
author = {Zafari N and Lotfaliany M and Mansournia MA and Khalili D and Azizi F and Hadaegh F},
year = {2018},
journal = {BMC public health},
doi = {10.1186/s12889-018-5611-6},
url = {https://doi.org/10.1186/s12889-018-5611-6}
}RIS
TY - JOUR TI - Optimal cut-points of different anthropometric indices and their joint effect in prediction of type 2 diabetes: results of a cohort study. AU - Zafari N AU - Lotfaliany M AU - Mansournia MA AU - Khalili D AU - Azizi F AU - Hadaegh F PY - 2018 JO - BMC public health DO - 10.1186/s12889-018-5611-6 UR - https://doi.org/10.1186/s12889-018-5611-6 ER -
APA
N, Z., M, L., MA, M., D, K., F, A., & F, H. (2018). Optimal cut-points of different anthropometric indices and their joint effect in prediction of type 2 diabetes: results of a cohort study.. BMC public health. https://doi.org/10.1186/s12889-018-5611-6
Source records
- pubmed · retrieved 2026-09-27T16:08:02.094Z