Development and validation of a nomogram for predicting comorbid anxiety and depression in patients with gestational diabetes mellitus

doi:10.4239/wjd.123436

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World Journal of Diabetes

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1948-9358

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Diabetes. Nov 15, 2026; 17(11): 123436
Published online Nov 15, 2026. doi: 10.4239/wjd.123436

Table 5 Multivariate logistic regression analysis of comorbid anxiety and depression in gestational diabetes mellitus patients

Item	β	SE	Wald χ²	P value	OR (95%CI)
Age	0.338	0.093	13.166	< 0.001	1.403 (1.168-1.684)
Previous abortion	1.621	0.469	11.927	0.001	5.057 (2.016-12.686)
Educational level	1.391	0.427	10.626	0.001	4.018 (1.741-9.272)
Social support	1.358	0.430	9.955	0.002	3.889 (1.673-9.042)

OR: Odds ratio; CI: Confidence interval.

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Citation: Zhu CW, Wang L. Development and validation of a nomogram for predicting comorbid anxiety and depression in patients with gestational diabetes mellitus. World J Diabetes 2026; 17(11): 123436
URL: https://www.wjgnet.com/1948-9358/full/v17/i11/123436.htm
DOI: https://dx.doi.org/10.4239/wjd.123436

Zhu CW, Wang L. Development and validation of a nomogram for predicting comorbid anxiety and depression in patients with gestational diabetes mellitus. World J Diabetes 2026; 17(11): 123436 [DOI: 10.4239/wjd.123436]

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