The University of Southampton
University of Southampton Institutional Repository
Warning ePrints Soton is experiencing an issue with some file downloads not being available. We are working hard to fix this. Please bear with us.

Anthropometric measures and HbA1c to detect dysglycemia in young Asian women planning conception: The S-PRESTO cohort

Anthropometric measures and HbA1c to detect dysglycemia in young Asian women planning conception: The S-PRESTO cohort
Anthropometric measures and HbA1c to detect dysglycemia in young Asian women planning conception: The S-PRESTO cohort
We investigated whether adding anthropometric measures to HbA1c would have stronger discriminative ability over HbA1c alone in detecting dysglycemia (diabetes and prediabetes) among Asian women trying to conceive. Among 971 Singaporean women, multiple regression models and area under receiver-operating characteristic (AUROC) curves were used to analyze associations of anthropometric (weight, height, waist/hip circumferences, 4-site skinfold thicknesses) and HbA1c z-scores with dysglycemia (fasting glucose ≥6.1 mmol/L with 2-hour glucose ≥7.8 mmol/l). The prevalence of dysglycemia was 10.9%. After adjusting for sociodemographic/medical history, BMI (Odds Ratio [OR] = 1.62 [95%CI 1.32–1.99]), waist-to-height ratio (OR = 1.74 [1.39–2.17]) and total skinfolds (OR = 2.02 [1.60–2.55]) showed the strongest associations with dysglycemia but none outperformed HbA1c (OR = 4.09 [2.81–5.94]). After adjustment for history, adding BMI, waist-to-height ratio and total skinfolds (anthropometry trio) as continuous variables to HbA1c (AUROC = 0.80 [95%CI 0.75–0.85]) performed similarly to HbA1c alone (AUROC = 0.79 [0.74–0.84]). However, using clinically-defined thresholds without considering history, as in common clinical practice, BMI ≥ 23 kg/m2 + HbA1c ≥ 5.7% (AUROC = 0.70 [0.64–0.75]) and anthropometry trio + HbA1c ≥ 5.7% (AUROC = 0.71 [0.65–0.76]) both outperformed HbA1c ≥ 5.7% alone (AUROC = 0.61 [0.57–0.65]). In a two-stage strategy, incorporating BMI ≥ 23 kg/m2 alongside HbA1c ≥ 5.7% into first-stage screening to identify high risk women for subsequent oral glucose tolerance testing improves dysglycemia detection in Asian women preconception.
2045-2322
Chu, Anne H.Y.
7a5ddab5-9318-40d6-9d25-e76144e2d680
Aris, I.M.
ee15a46e-ead3-4b4a-a208-d39038a85480
Ng, Sharon
cb549f0f-0584-4498-8c49-6023fde1fa87
Bernard, Jonathan Y.
c831fc27-9e1a-46ca-b335-859e14c5083b
Mya, Tint
6f8cd9a6-2667-4495-b1c9-40c7ff3ffb28
Yuan, Wen Lun
bd1a80dc-c82a-4387-b754-72e30dd603a7
Godfrey, Keith
0931701e-fe2c-44b5-8f0d-ec5c7477a6fd
Chan, Jerry Kok Yen
42e59d61-c3d1-486b-b33a-22c4645acf12
Shek, Lynette P.
9a77403c-0e0c-4536-a5ad-628ce94b279a
Chong, Yap-Seng
492de658-aa9e-4b57-95bf-33109f4d2cc5
Tan, K.H.
5088c221-ae35-4063-a5b0-84565963688b
Ang, Seng Bin
db42a488-097c-4ead-9f06-ee37a47436b4
Tan, H.H.
7502827f-4a16-4a35-8da7-cff07764ec2a
Chern, Bernard SM
27768f7d-d158-4e87-a21c-df3f0b98b9e0
Yap, Fabian
22f6b954-31fc-4696-a52b-e985a424b95b
Lee, Yung Seng
0e28a8d6-3085-4086-9fa1-ac0684783bcf
Lek, Ngee
517c4b9b-b6c9-4625-9db4-fd2b228b1755
Leow, Melvin Khee-Shing
b8c72ca5-6a27-4e19-83fe-216fe6f8c536
Khoo, Chin Meng
0c1a537b-4ccd-4971-84ee-14e478f28bea
Chan, Shiao-Yng
3c9d8970-2cc4-430a-86a7-96f6029a5293
Chu, Anne H.Y.
7a5ddab5-9318-40d6-9d25-e76144e2d680
Aris, I.M.
ee15a46e-ead3-4b4a-a208-d39038a85480
Ng, Sharon
cb549f0f-0584-4498-8c49-6023fde1fa87
Bernard, Jonathan Y.
c831fc27-9e1a-46ca-b335-859e14c5083b
Mya, Tint
6f8cd9a6-2667-4495-b1c9-40c7ff3ffb28
Yuan, Wen Lun
bd1a80dc-c82a-4387-b754-72e30dd603a7
Godfrey, Keith
0931701e-fe2c-44b5-8f0d-ec5c7477a6fd
Chan, Jerry Kok Yen
42e59d61-c3d1-486b-b33a-22c4645acf12
Shek, Lynette P.
9a77403c-0e0c-4536-a5ad-628ce94b279a
Chong, Yap-Seng
492de658-aa9e-4b57-95bf-33109f4d2cc5
Tan, K.H.
5088c221-ae35-4063-a5b0-84565963688b
Ang, Seng Bin
db42a488-097c-4ead-9f06-ee37a47436b4
Tan, H.H.
7502827f-4a16-4a35-8da7-cff07764ec2a
Chern, Bernard SM
27768f7d-d158-4e87-a21c-df3f0b98b9e0
Yap, Fabian
22f6b954-31fc-4696-a52b-e985a424b95b
Lee, Yung Seng
0e28a8d6-3085-4086-9fa1-ac0684783bcf
Lek, Ngee
517c4b9b-b6c9-4625-9db4-fd2b228b1755
Leow, Melvin Khee-Shing
b8c72ca5-6a27-4e19-83fe-216fe6f8c536
Khoo, Chin Meng
0c1a537b-4ccd-4971-84ee-14e478f28bea
Chan, Shiao-Yng
3c9d8970-2cc4-430a-86a7-96f6029a5293

Chu, Anne H.Y., Aris, I.M., Ng, Sharon, Bernard, Jonathan Y., Mya, Tint, Yuan, Wen Lun, Godfrey, Keith, Chan, Jerry Kok Yen, Shek, Lynette P., Chong, Yap-Seng, Tan, K.H., Ang, Seng Bin, Tan, H.H., Chern, Bernard SM, Yap, Fabian, Lee, Yung Seng, Lek, Ngee, Leow, Melvin Khee-Shing, Khoo, Chin Meng and Chan, Shiao-Yng (2020) Anthropometric measures and HbA1c to detect dysglycemia in young Asian women planning conception: The S-PRESTO cohort. Scientific Reports, 10 (1), [9228]. (doi:10.1038/s41598-020-66147-x).

Record type: Article

Abstract

We investigated whether adding anthropometric measures to HbA1c would have stronger discriminative ability over HbA1c alone in detecting dysglycemia (diabetes and prediabetes) among Asian women trying to conceive. Among 971 Singaporean women, multiple regression models and area under receiver-operating characteristic (AUROC) curves were used to analyze associations of anthropometric (weight, height, waist/hip circumferences, 4-site skinfold thicknesses) and HbA1c z-scores with dysglycemia (fasting glucose ≥6.1 mmol/L with 2-hour glucose ≥7.8 mmol/l). The prevalence of dysglycemia was 10.9%. After adjusting for sociodemographic/medical history, BMI (Odds Ratio [OR] = 1.62 [95%CI 1.32–1.99]), waist-to-height ratio (OR = 1.74 [1.39–2.17]) and total skinfolds (OR = 2.02 [1.60–2.55]) showed the strongest associations with dysglycemia but none outperformed HbA1c (OR = 4.09 [2.81–5.94]). After adjustment for history, adding BMI, waist-to-height ratio and total skinfolds (anthropometry trio) as continuous variables to HbA1c (AUROC = 0.80 [95%CI 0.75–0.85]) performed similarly to HbA1c alone (AUROC = 0.79 [0.74–0.84]). However, using clinically-defined thresholds without considering history, as in common clinical practice, BMI ≥ 23 kg/m2 + HbA1c ≥ 5.7% (AUROC = 0.70 [0.64–0.75]) and anthropometry trio + HbA1c ≥ 5.7% (AUROC = 0.71 [0.65–0.76]) both outperformed HbA1c ≥ 5.7% alone (AUROC = 0.61 [0.57–0.65]). In a two-stage strategy, incorporating BMI ≥ 23 kg/m2 alongside HbA1c ≥ 5.7% into first-stage screening to identify high risk women for subsequent oral glucose tolerance testing improves dysglycemia detection in Asian women preconception.

Text
Chu-AnthroHbA1c_Dysglycemia-MainDocument(Clean)30Apr20 - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (48kB)
Text
Figures_continuous_categorical_anthro_hba1c_27Apr20
Restricted to Repository staff only
Request a copy
Text
Supplementary File(Revised)27Apr20
Restricted to Repository staff only
Request a copy

More information

Accepted/In Press date: 12 May 2020
e-pub ahead of print date: 8 June 2020

Identifiers

Local EPrints ID: 442023
URI: http://eprints.soton.ac.uk/id/eprint/442023
ISSN: 2045-2322
PURE UUID: 8d6483b4-e67c-48d4-80aa-ccf111e7d1d6
ORCID for Keith Godfrey: ORCID iD orcid.org/0000-0002-4643-0618

Catalogue record

Date deposited: 06 Jul 2020 16:30
Last modified: 26 Nov 2021 07:17

Export record

Altmetrics

Contributors

Author: Anne H.Y. Chu
Author: I.M. Aris
Author: Sharon Ng
Author: Jonathan Y. Bernard
Author: Tint Mya
Author: Wen Lun Yuan
Author: Keith Godfrey ORCID iD
Author: Jerry Kok Yen Chan
Author: Lynette P. Shek
Author: Yap-Seng Chong
Author: K.H. Tan
Author: Seng Bin Ang
Author: H.H. Tan
Author: Bernard SM Chern
Author: Fabian Yap
Author: Yung Seng Lee
Author: Ngee Lek
Author: Melvin Khee-Shing Leow
Author: Chin Meng Khoo
Author: Shiao-Yng Chan

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×