Development and Validation of a Diabetes Risk Score Among Two Populations
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2021/01/25
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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. [Description provided by NIOSH]
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ISSN:1932-6203
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Volume:16
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Issue:1
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NIOSHTIC Number:nn:20062915
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Citation:PLoS One 2021 Jan; 16(1):e0245716
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Contact Point Address:Natalie V. Schwatka, Center for Health, Work & Environment, Colorado School of Public Health, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
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Email:natalie.schwatka@cuanschutz.edu
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Federal Fiscal Year:2021
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Performing Organization:University of Colorado Denver, Aurora
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Peer Reviewed:True
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Start Date:20160901
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Source Full Name:PLoS One
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End Date:20260831
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Main Document Checksum:urn:sha-512:aa6a61c7a8349f16e7e040e2c84a933db4fcc474a1efd4a0828642bc5f4d440b0a2cb5736b6078581bf14c2115077bc04da3aee733003a411098d8eb41619718
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