Prediction of gestational diabetes mellitus in the Born in Guangzhou Cohort Study, China
<strong>Objective</strong> To assess potential risk factors in identifying women at risk for gestational diabetes mellitus (GDM). <strong>Methods</strong> The present study included data collected as part of a prospective cohort study, and included women with singleton pregn...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Journal article |
| Published: |
Wiley
2018
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| _version_ | 1826277310333976576 |
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| author | Schaefer, K Xiao, W Chen, Q He, J Lu, J Chan, F Chen, N Yuan, M Xia, H Lam, K Hirst, J Qiu, X |
| author_facet | Schaefer, K Xiao, W Chen, Q He, J Lu, J Chan, F Chen, N Yuan, M Xia, H Lam, K Hirst, J Qiu, X |
| author_sort | Schaefer, K |
| collection | OXFORD |
| description | <strong>Objective</strong> To assess potential risk factors in identifying women at risk for gestational diabetes mellitus (GDM). <strong>Methods</strong> The present study included data collected as part of a prospective cohort study, and included women with singleton pregnancies who underwent initial prenatal examination at a tertiary women and children's hospital in Guangzhou, China between February 1, 2012, and December 31, 2015. Maternal characteristics and medical history were investigated to evaluate associations with GDM. A risk factor scoring system for the prediction of GDM was generated using logistic regression. <strong>Results</strong> Overall, 1129 (13.5%) of 8381 women were diagnosed with GDM. Women older than 35 years had a 3.95‐fold increased risk of GDM (95% confidence interval 2.80–5.58) compared with women aged 16–25 years; obese women had a 6.54‐fold higher risk (95% confidence interval 3.50–12.23) compared with underweight women. A risk scoring system was established based on age, body mass index, family history of diabetes, weight gain, and history of GDM. Screening for women with a score of 12 or more would have reduced the number undergoing oral glucose tolerance testing by 2131 (25.4%) patients with a sensitivity of 87% for GDM detection. <strong>Conclusion</strong> The assessment of risk factors for GDM could provide a foundation for improving risk‐based screening strategies in this and similar populations. |
| first_indexed | 2024-03-06T23:26:59Z |
| format | Journal article |
| id | oxford-uuid:6ab38711-2f9f-4217-b2e9-34cc20eb2c21 |
| institution | University of Oxford |
| last_indexed | 2024-03-06T23:26:59Z |
| publishDate | 2018 |
| publisher | Wiley |
| record_format | dspace |
| spelling | oxford-uuid:6ab38711-2f9f-4217-b2e9-34cc20eb2c212022-03-26T18:59:14ZPrediction of gestational diabetes mellitus in the Born in Guangzhou Cohort Study, ChinaJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:6ab38711-2f9f-4217-b2e9-34cc20eb2c21Symplectic Elements at OxfordWiley2018Schaefer, KXiao, WChen, QHe, JLu, JChan, FChen, NYuan, MXia, HLam, KHirst, JQiu, X<strong>Objective</strong> To assess potential risk factors in identifying women at risk for gestational diabetes mellitus (GDM). <strong>Methods</strong> The present study included data collected as part of a prospective cohort study, and included women with singleton pregnancies who underwent initial prenatal examination at a tertiary women and children's hospital in Guangzhou, China between February 1, 2012, and December 31, 2015. Maternal characteristics and medical history were investigated to evaluate associations with GDM. A risk factor scoring system for the prediction of GDM was generated using logistic regression. <strong>Results</strong> Overall, 1129 (13.5%) of 8381 women were diagnosed with GDM. Women older than 35 years had a 3.95‐fold increased risk of GDM (95% confidence interval 2.80–5.58) compared with women aged 16–25 years; obese women had a 6.54‐fold higher risk (95% confidence interval 3.50–12.23) compared with underweight women. A risk scoring system was established based on age, body mass index, family history of diabetes, weight gain, and history of GDM. Screening for women with a score of 12 or more would have reduced the number undergoing oral glucose tolerance testing by 2131 (25.4%) patients with a sensitivity of 87% for GDM detection. <strong>Conclusion</strong> The assessment of risk factors for GDM could provide a foundation for improving risk‐based screening strategies in this and similar populations. |
| spellingShingle | Schaefer, K Xiao, W Chen, Q He, J Lu, J Chan, F Chen, N Yuan, M Xia, H Lam, K Hirst, J Qiu, X Prediction of gestational diabetes mellitus in the Born in Guangzhou Cohort Study, China |
| title | Prediction of gestational diabetes mellitus in the Born in Guangzhou Cohort Study, China |
| title_full | Prediction of gestational diabetes mellitus in the Born in Guangzhou Cohort Study, China |
| title_fullStr | Prediction of gestational diabetes mellitus in the Born in Guangzhou Cohort Study, China |
| title_full_unstemmed | Prediction of gestational diabetes mellitus in the Born in Guangzhou Cohort Study, China |
| title_short | Prediction of gestational diabetes mellitus in the Born in Guangzhou Cohort Study, China |
| title_sort | prediction of gestational diabetes mellitus in the born in guangzhou cohort study china |
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