Validation of a lifestyle-based risk score for type 2 diabetes mellitus in Australian adults

The study aimed to assess the performance of a lifestyle-based prognostic risk model (Diabetes Lifestyle Score) for the prediction of 5-year risk of type 2 diabetes mellitus. The model comprises nine self-reported predictors (sex, age, antihypertensive drugs, body mass index, family history of diabe...

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Autores principales:	Vera Helen Buss, Marlien Varnfield, Mark Harris, Margo Barr
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Diabetes mellitus, type 2 Risk factor scores Logistic regression Validation study Cohort analysis Medicine R
Acceso en línea:	https://doaj.org/article/a15830678f0442be82373ea076531989
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spelling	oai:doaj.org-article:a15830678f0442be82373ea0765319892021-11-22T04:24:26ZValidation of a lifestyle-based risk score for type 2 diabetes mellitus in Australian adults2211-335510.1016/j.pmedr.2021.101647https://doaj.org/article/a15830678f0442be82373ea0765319892021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2211335521003387https://doaj.org/toc/2211-3355The study aimed to assess the performance of a lifestyle-based prognostic risk model (Diabetes Lifestyle Score) for the prediction of 5-year risk of type 2 diabetes mellitus. The model comprises nine self-reported predictors (sex, age, antihypertensive drugs, body mass index, family history of diabetes, physical activity, fruits, vegetables, and wholemeal/brown bread). We conducted an external validation and update of the model in an Australian cohort including 97,615 residents of New South Wales aged 45 years and older who were free of type 1 and 2 diabetes mellitus at baseline. Of all participants, 4,741 developed type 2 diabetes mellitus over 5 years. We conducted the statistical analyses in RStudio using the programming language R. The area under the receiver operating characteristic curve (AUC) of the original model was 0.726 (95% confidence interval: 0.719, 0.733). After adjusting the calibration intercept and slope, the original model performed reasonably well in the external cohort. The best performance was measured by using the numerical predictors as continuous variables and refitting all coefficients (AUC: 0.741, 95% confidence interval: 0.734, 0.748). The results of the original model after calibration were comparable to those received from the AUSDRISK score which is routinely used in Australian clinical practice. Hence, the lifestyle-based model might be a reasonable alternative for laypersons since the required information is most likely known by these. Further, the risk score may communicate the message about the importance of a healthy diet to reduce the risk of diabetes.Vera Helen BussMarlien VarnfieldMark HarrisMargo BarrElsevierarticleDiabetes mellitus, type 2Risk factor scoresLogistic regressionValidation studyCohort analysisMedicineRENPreventive Medicine Reports, Vol 24, Iss , Pp 101647- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Diabetes mellitus, type 2 Risk factor scores Logistic regression Validation study Cohort analysis Medicine R
spellingShingle	Diabetes mellitus, type 2 Risk factor scores Logistic regression Validation study Cohort analysis Medicine R Vera Helen Buss Marlien Varnfield Mark Harris Margo Barr Validation of a lifestyle-based risk score for type 2 diabetes mellitus in Australian adults
description	The study aimed to assess the performance of a lifestyle-based prognostic risk model (Diabetes Lifestyle Score) for the prediction of 5-year risk of type 2 diabetes mellitus. The model comprises nine self-reported predictors (sex, age, antihypertensive drugs, body mass index, family history of diabetes, physical activity, fruits, vegetables, and wholemeal/brown bread). We conducted an external validation and update of the model in an Australian cohort including 97,615 residents of New South Wales aged 45 years and older who were free of type 1 and 2 diabetes mellitus at baseline. Of all participants, 4,741 developed type 2 diabetes mellitus over 5 years. We conducted the statistical analyses in RStudio using the programming language R. The area under the receiver operating characteristic curve (AUC) of the original model was 0.726 (95% confidence interval: 0.719, 0.733). After adjusting the calibration intercept and slope, the original model performed reasonably well in the external cohort. The best performance was measured by using the numerical predictors as continuous variables and refitting all coefficients (AUC: 0.741, 95% confidence interval: 0.734, 0.748). The results of the original model after calibration were comparable to those received from the AUSDRISK score which is routinely used in Australian clinical practice. Hence, the lifestyle-based model might be a reasonable alternative for laypersons since the required information is most likely known by these. Further, the risk score may communicate the message about the importance of a healthy diet to reduce the risk of diabetes.
format	article
author	Vera Helen Buss Marlien Varnfield Mark Harris Margo Barr
author_facet	Vera Helen Buss Marlien Varnfield Mark Harris Margo Barr
author_sort	Vera Helen Buss
title	Validation of a lifestyle-based risk score for type 2 diabetes mellitus in Australian adults
title_short	Validation of a lifestyle-based risk score for type 2 diabetes mellitus in Australian adults
title_full	Validation of a lifestyle-based risk score for type 2 diabetes mellitus in Australian adults
title_fullStr	Validation of a lifestyle-based risk score for type 2 diabetes mellitus in Australian adults
title_full_unstemmed	Validation of a lifestyle-based risk score for type 2 diabetes mellitus in Australian adults
title_sort	validation of a lifestyle-based risk score for type 2 diabetes mellitus in australian adults
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/a15830678f0442be82373ea076531989
work_keys_str_mv	AT verahelenbuss validationofalifestylebasedriskscorefortype2diabetesmellitusinaustralianadults AT marlienvarnfield validationofalifestylebasedriskscorefortype2diabetesmellitusinaustralianadults AT markharris validationofalifestylebasedriskscorefortype2diabetesmellitusinaustralianadults AT margobarr validationofalifestylebasedriskscorefortype2diabetesmellitusinaustralianadults
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Validation of a lifestyle-based risk score for type 2 diabetes mellitus in Australian adults

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