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Development and validation of a diabetes risk score among two populations

The purpose of this study was to assess the validity of a practical diabetes risk score amongst two heterogenous populations, a working population and a non-working population. Study population 1 (n = 2,089) participated in a large-scale screening program offered to retired workers to discover previ...

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Autores principales: Schwatka, Natalie V., Smith, Derek E., Golden, Ashley, Tran, Molly, Newman, Lee S., Cragle, Donna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7833146/
https://www.ncbi.nlm.nih.gov/pubmed/33493190
http://dx.doi.org/10.1371/journal.pone.0245716
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author Schwatka, Natalie V.
Smith, Derek E.
Golden, Ashley
Tran, Molly
Newman, Lee S.
Cragle, Donna
author_facet Schwatka, Natalie V.
Smith, Derek E.
Golden, Ashley
Tran, Molly
Newman, Lee S.
Cragle, Donna
author_sort Schwatka, Natalie V.
collection PubMed
description The purpose of this study was to assess the validity of a practical diabetes risk score amongst two heterogenous populations, a working population and a non-working population. Study population 1 (n = 2,089) participated in a large-scale screening program offered to retired workers to discover previously undetected/incipient chronic illness. Study population 2 (n = 3,293) was part of a Colorado worksite wellness program health risk assessment. We assessed the relationship between a continuous diabetes risk score at baseline and development of diabetes in the future using logistic regression. Receiver operating curves and sensitivity/specificity of the models were calculated. Across both study populations, we observed that participants with diabetes at follow-up had higher diabetes risk scores at baseline than participants who did not have diabetes at follow-up. On average, the odds ratio of developing diabetes in the future was 1.38 (95% CI: 1.26–1.50, p < 0.0001) for study population 1 and 1.68 (95% CI: 1.45–1.95, p-value < 0.0001) for study population 2. These findings indicate that the diabetes risk score may be generalizable to diverse individuals, and thus potentially a population level diabetes screening tool. Minimally-invasive diabetes risk scores can aid in the identification of sub-populations of individuals at risk for diabetes.
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spelling pubmed-78331462021-01-26 Development and validation of a diabetes risk score among two populations Schwatka, Natalie V. Smith, Derek E. Golden, Ashley Tran, Molly Newman, Lee S. Cragle, Donna PLoS One Research Article The purpose of this study was to assess the validity of a practical diabetes risk score amongst two heterogenous populations, a working population and a non-working population. Study population 1 (n = 2,089) participated in a large-scale screening program offered to retired workers to discover previously undetected/incipient chronic illness. Study population 2 (n = 3,293) was part of a Colorado worksite wellness program health risk assessment. We assessed the relationship between a continuous diabetes risk score at baseline and development of diabetes in the future using logistic regression. Receiver operating curves and sensitivity/specificity of the models were calculated. Across both study populations, we observed that participants with diabetes at follow-up had higher diabetes risk scores at baseline than participants who did not have diabetes at follow-up. On average, the odds ratio of developing diabetes in the future was 1.38 (95% CI: 1.26–1.50, p < 0.0001) for study population 1 and 1.68 (95% CI: 1.45–1.95, p-value < 0.0001) for study population 2. These findings indicate that the diabetes risk score may be generalizable to diverse individuals, and thus potentially a population level diabetes screening tool. Minimally-invasive diabetes risk scores can aid in the identification of sub-populations of individuals at risk for diabetes. Public Library of Science 2021-01-25 /pmc/articles/PMC7833146/ /pubmed/33493190 http://dx.doi.org/10.1371/journal.pone.0245716 Text en © 2021 Schwatka et al 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
Schwatka, Natalie V.
Smith, Derek E.
Golden, Ashley
Tran, Molly
Newman, Lee S.
Cragle, Donna
Development and validation of a diabetes risk score among two populations
title Development and validation of a diabetes risk score among two populations
title_full Development and validation of a diabetes risk score among two populations
title_fullStr Development and validation of a diabetes risk score among two populations
title_full_unstemmed Development and validation of a diabetes risk score among two populations
title_short Development and validation of a diabetes risk score among two populations
title_sort development and validation of a diabetes risk score among two populations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7833146/
https://www.ncbi.nlm.nih.gov/pubmed/33493190
http://dx.doi.org/10.1371/journal.pone.0245716
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