Prediction of gestational diabetes mellitus by different obesity indices
Background The incidence rates of obesity and gestational diabetes mellitus (GDM) are increasing in parallel. This study aimed to evaluate the relationship between different obesity indices, including prepregnancy body mass index (preBMI), the first-trimester abdominal circumference (AC), and first-...
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Published in | BMC pregnancy and childbirth Vol. 22; no. 1; pp. 288 - 8 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
London
BioMed Central
06.04.2022
BMC |
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Online Access | Get full text |
ISSN | 1471-2393 1471-2393 |
DOI | 10.1186/s12884-022-04615-0 |
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Abstract | Background
The incidence rates of obesity and gestational diabetes mellitus (GDM) are increasing in parallel. This study aimed to evaluate the relationship between different obesity indices, including prepregnancy body mass index (preBMI), the first-trimester abdominal circumference (AC), and first-trimester abdominal circumference/height ratio (ACHtR), and GDM, and the efficacy of these three indices in predicting GDM was assessed.
Methods
A total of 15,472 pregnant women gave birth to a singleton at the Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China. Prepregnancy weight was self-reported by study participants, body height and AC were measured by nurses at the first prenatal visit during weeks 11 to 13
+6
of pregnancy. GDM was diagnosed through a 75-g oral glucose tolerance test at 24–28 gestational weeks. Using receiver operator characteristic (ROC) curve analysis, we evaluated the association between obesity indices and GDM.
Results
A total of 1912 women (12.4%) were diagnosed with GDM. Logistic regression analysis showed that AC, ACHtR, and preBMI (
P
< 0.001) were all independent risk factors for the development of GDM. In the normal BMI population, the higher the AC or ACHtR was, the more likely the pregnant woman was to develop GDM. The area under the ROC curve (AUC) was 0.63 (95% CI: 0.62–0.64) for the AC, 0.64 (95% CI: 0.62–0.65) for the ACHtR and 0.63 (95% CI: 0.62–0.64) for the preBMI. An AC ≥ 80.3 cm (sensitivity: 61.6%; specificity: 57.9%), an ACHtR of ≥ 0.49 (sensitivity: 67.3%; specificity: 54.0%), and a preBMI ≥ 22.7 (sensitivity: 48.4%; specificity: 71.8%) were determined to be the best cut-off levels for identifying subjects with GDM.
Conclusions
An increase in ACHtR may be an independent risk factor for GDM in the first trimester of pregnancy. Even in the normal BMI population, the higher the AC and ACHtR are, the more likely a pregnant woman is to develop GDM. AC, ACHtR in the first trimester and preBMI might be anthropometric indices for predicting GDM, but a single obesity index had limited predictive value for GDM. |
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AbstractList | Background
The incidence rates of obesity and gestational diabetes mellitus (GDM) are increasing in parallel. This study aimed to evaluate the relationship between different obesity indices, including prepregnancy body mass index (preBMI), the first-trimester abdominal circumference (AC), and first-trimester abdominal circumference/height ratio (ACHtR), and GDM, and the efficacy of these three indices in predicting GDM was assessed.
Methods
A total of 15,472 pregnant women gave birth to a singleton at the Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China. Prepregnancy weight was self-reported by study participants, body height and AC were measured by nurses at the first prenatal visit during weeks 11 to 13
+6
of pregnancy. GDM was diagnosed through a 75-g oral glucose tolerance test at 24–28 gestational weeks. Using receiver operator characteristic (ROC) curve analysis, we evaluated the association between obesity indices and GDM.
Results
A total of 1912 women (12.4%) were diagnosed with GDM. Logistic regression analysis showed that AC, ACHtR, and preBMI (
P
< 0.001) were all independent risk factors for the development of GDM. In the normal BMI population, the higher the AC or ACHtR was, the more likely the pregnant woman was to develop GDM. The area under the ROC curve (AUC) was 0.63 (95% CI: 0.62–0.64) for the AC, 0.64 (95% CI: 0.62–0.65) for the ACHtR and 0.63 (95% CI: 0.62–0.64) for the preBMI. An AC ≥ 80.3 cm (sensitivity: 61.6%; specificity: 57.9%), an ACHtR of ≥ 0.49 (sensitivity: 67.3%; specificity: 54.0%), and a preBMI ≥ 22.7 (sensitivity: 48.4%; specificity: 71.8%) were determined to be the best cut-off levels for identifying subjects with GDM.
Conclusions
An increase in ACHtR may be an independent risk factor for GDM in the first trimester of pregnancy. Even in the normal BMI population, the higher the AC and ACHtR are, the more likely a pregnant woman is to develop GDM. AC, ACHtR in the first trimester and preBMI might be anthropometric indices for predicting GDM, but a single obesity index had limited predictive value for GDM. Abstract Background The incidence rates of obesity and gestational diabetes mellitus (GDM) are increasing in parallel. This study aimed to evaluate the relationship between different obesity indices, including prepregnancy body mass index (preBMI), the first-trimester abdominal circumference (AC), and first-trimester abdominal circumference/height ratio (ACHtR), and GDM, and the efficacy of these three indices in predicting GDM was assessed. Methods A total of 15,472 pregnant women gave birth to a singleton at the Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China. Prepregnancy weight was self-reported by study participants, body height and AC were measured by nurses at the first prenatal visit during weeks 11 to 13+6 of pregnancy. GDM was diagnosed through a 75-g oral glucose tolerance test at 24–28 gestational weeks. Using receiver operator characteristic (ROC) curve analysis, we evaluated the association between obesity indices and GDM. Results A total of 1912 women (12.4%) were diagnosed with GDM. Logistic regression analysis showed that AC, ACHtR, and preBMI (P < 0.001) were all independent risk factors for the development of GDM. In the normal BMI population, the higher the AC or ACHtR was, the more likely the pregnant woman was to develop GDM. The area under the ROC curve (AUC) was 0.63 (95% CI: 0.62–0.64) for the AC, 0.64 (95% CI: 0.62–0.65) for the ACHtR and 0.63 (95% CI: 0.62–0.64) for the preBMI. An AC ≥ 80.3 cm (sensitivity: 61.6%; specificity: 57.9%), an ACHtR of ≥ 0.49 (sensitivity: 67.3%; specificity: 54.0%), and a preBMI ≥ 22.7 (sensitivity: 48.4%; specificity: 71.8%) were determined to be the best cut-off levels for identifying subjects with GDM. Conclusions An increase in ACHtR may be an independent risk factor for GDM in the first trimester of pregnancy. Even in the normal BMI population, the higher the AC and ACHtR are, the more likely a pregnant woman is to develop GDM. AC, ACHtR in the first trimester and preBMI might be anthropometric indices for predicting GDM, but a single obesity index had limited predictive value for GDM. Background The incidence rates of obesity and gestational diabetes mellitus (GDM) are increasing in parallel. This study aimed to evaluate the relationship between different obesity indices, including prepregnancy body mass index (preBMI), the first-trimester abdominal circumference (AC), and first-trimester abdominal circumference/height ratio (ACHtR), and GDM, and the efficacy of these three indices in predicting GDM was assessed. Methods A total of 15,472 pregnant women gave birth to a singleton at the Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China. Prepregnancy weight was self-reported by study participants, body height and AC were measured by nurses at the first prenatal visit during weeks 11 to 13+6 of pregnancy. GDM was diagnosed through a 75-g oral glucose tolerance test at 24–28 gestational weeks. Using receiver operator characteristic (ROC) curve analysis, we evaluated the association between obesity indices and GDM. Results A total of 1912 women (12.4%) were diagnosed with GDM. Logistic regression analysis showed that AC, ACHtR, and preBMI (P < 0.001) were all independent risk factors for the development of GDM. In the normal BMI population, the higher the AC or ACHtR was, the more likely the pregnant woman was to develop GDM. The area under the ROC curve (AUC) was 0.63 (95% CI: 0.62–0.64) for the AC, 0.64 (95% CI: 0.62–0.65) for the ACHtR and 0.63 (95% CI: 0.62–0.64) for the preBMI. An AC ≥ 80.3 cm (sensitivity: 61.6%; specificity: 57.9%), an ACHtR of ≥ 0.49 (sensitivity: 67.3%; specificity: 54.0%), and a preBMI ≥ 22.7 (sensitivity: 48.4%; specificity: 71.8%) were determined to be the best cut-off levels for identifying subjects with GDM. Conclusions An increase in ACHtR may be an independent risk factor for GDM in the first trimester of pregnancy. Even in the normal BMI population, the higher the AC and ACHtR are, the more likely a pregnant woman is to develop GDM. AC, ACHtR in the first trimester and preBMI might be anthropometric indices for predicting GDM, but a single obesity index had limited predictive value for GDM. The incidence rates of obesity and gestational diabetes mellitus (GDM) are increasing in parallel. This study aimed to evaluate the relationship between different obesity indices, including prepregnancy body mass index (preBMI), the first-trimester abdominal circumference (AC), and first-trimester abdominal circumference/height ratio (ACHtR), and GDM, and the efficacy of these three indices in predicting GDM was assessed.BACKGROUNDThe incidence rates of obesity and gestational diabetes mellitus (GDM) are increasing in parallel. This study aimed to evaluate the relationship between different obesity indices, including prepregnancy body mass index (preBMI), the first-trimester abdominal circumference (AC), and first-trimester abdominal circumference/height ratio (ACHtR), and GDM, and the efficacy of these three indices in predicting GDM was assessed.A total of 15,472 pregnant women gave birth to a singleton at the Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China. Prepregnancy weight was self-reported by study participants, body height and AC were measured by nurses at the first prenatal visit during weeks 11 to 13+6 of pregnancy. GDM was diagnosed through a 75-g oral glucose tolerance test at 24-28 gestational weeks. Using receiver operator characteristic (ROC) curve analysis, we evaluated the association between obesity indices and GDM.METHODSA total of 15,472 pregnant women gave birth to a singleton at the Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China. Prepregnancy weight was self-reported by study participants, body height and AC were measured by nurses at the first prenatal visit during weeks 11 to 13+6 of pregnancy. GDM was diagnosed through a 75-g oral glucose tolerance test at 24-28 gestational weeks. Using receiver operator characteristic (ROC) curve analysis, we evaluated the association between obesity indices and GDM.A total of 1912 women (12.4%) were diagnosed with GDM. Logistic regression analysis showed that AC, ACHtR, and preBMI (P < 0.001) were all independent risk factors for the development of GDM. In the normal BMI population, the higher the AC or ACHtR was, the more likely the pregnant woman was to develop GDM. The area under the ROC curve (AUC) was 0.63 (95% CI: 0.62-0.64) for the AC, 0.64 (95% CI: 0.62-0.65) for the ACHtR and 0.63 (95% CI: 0.62-0.64) for the preBMI. An AC ≥ 80.3 cm (sensitivity: 61.6%; specificity: 57.9%), an ACHtR of ≥ 0.49 (sensitivity: 67.3%; specificity: 54.0%), and a preBMI ≥ 22.7 (sensitivity: 48.4%; specificity: 71.8%) were determined to be the best cut-off levels for identifying subjects with GDM.RESULTSA total of 1912 women (12.4%) were diagnosed with GDM. Logistic regression analysis showed that AC, ACHtR, and preBMI (P < 0.001) were all independent risk factors for the development of GDM. In the normal BMI population, the higher the AC or ACHtR was, the more likely the pregnant woman was to develop GDM. The area under the ROC curve (AUC) was 0.63 (95% CI: 0.62-0.64) for the AC, 0.64 (95% CI: 0.62-0.65) for the ACHtR and 0.63 (95% CI: 0.62-0.64) for the preBMI. An AC ≥ 80.3 cm (sensitivity: 61.6%; specificity: 57.9%), an ACHtR of ≥ 0.49 (sensitivity: 67.3%; specificity: 54.0%), and a preBMI ≥ 22.7 (sensitivity: 48.4%; specificity: 71.8%) were determined to be the best cut-off levels for identifying subjects with GDM.An increase in ACHtR may be an independent risk factor for GDM in the first trimester of pregnancy. Even in the normal BMI population, the higher the AC and ACHtR are, the more likely a pregnant woman is to develop GDM. AC, ACHtR in the first trimester and preBMI might be anthropometric indices for predicting GDM, but a single obesity index had limited predictive value for GDM.CONCLUSIONSAn increase in ACHtR may be an independent risk factor for GDM in the first trimester of pregnancy. Even in the normal BMI population, the higher the AC and ACHtR are, the more likely a pregnant woman is to develop GDM. AC, ACHtR in the first trimester and preBMI might be anthropometric indices for predicting GDM, but a single obesity index had limited predictive value for GDM. The incidence rates of obesity and gestational diabetes mellitus (GDM) are increasing in parallel. This study aimed to evaluate the relationship between different obesity indices, including prepregnancy body mass index (preBMI), the first-trimester abdominal circumference (AC), and first-trimester abdominal circumference/height ratio (ACHtR), and GDM, and the efficacy of these three indices in predicting GDM was assessed. A total of 15,472 pregnant women gave birth to a singleton at the Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China. Prepregnancy weight was self-reported by study participants, body height and AC were measured by nurses at the first prenatal visit during weeks 11 to 13 of pregnancy. GDM was diagnosed through a 75-g oral glucose tolerance test at 24-28 gestational weeks. Using receiver operator characteristic (ROC) curve analysis, we evaluated the association between obesity indices and GDM. A total of 1912 women (12.4%) were diagnosed with GDM. Logistic regression analysis showed that AC, ACHtR, and preBMI (P < 0.001) were all independent risk factors for the development of GDM. In the normal BMI population, the higher the AC or ACHtR was, the more likely the pregnant woman was to develop GDM. The area under the ROC curve (AUC) was 0.63 (95% CI: 0.62-0.64) for the AC, 0.64 (95% CI: 0.62-0.65) for the ACHtR and 0.63 (95% CI: 0.62-0.64) for the preBMI. An AC ≥ 80.3 cm (sensitivity: 61.6%; specificity: 57.9%), an ACHtR of ≥ 0.49 (sensitivity: 67.3%; specificity: 54.0%), and a preBMI ≥ 22.7 (sensitivity: 48.4%; specificity: 71.8%) were determined to be the best cut-off levels for identifying subjects with GDM. An increase in ACHtR may be an independent risk factor for GDM in the first trimester of pregnancy. Even in the normal BMI population, the higher the AC and ACHtR are, the more likely a pregnant woman is to develop GDM. AC, ACHtR in the first trimester and preBMI might be anthropometric indices for predicting GDM, but a single obesity index had limited predictive value for GDM. |
ArticleNumber | 288 |
Author | Fan, Yongfang Cheng, Yan Li, Tingting Song, Zhimin Cheng, Haidong Zhang, Qingying |
Author_xml | – sequence: 1 givenname: Zhimin surname: Song fullname: Song, Zhimin organization: Department of Gynecology, Women’s Hospital, Zhejiang University School of Medicine – sequence: 2 givenname: Yan surname: Cheng fullname: Cheng, Yan organization: Obstetrics and Gynecology Hospital, Fudan University – sequence: 3 givenname: Tingting surname: Li fullname: Li, Tingting organization: Obstetrics and Gynecology Hospital, Fudan University – sequence: 4 givenname: Yongfang surname: Fan fullname: Fan, Yongfang organization: Department of Gynecology, Women’s Hospital, Zhejiang University School of Medicine – sequence: 5 givenname: Qingying surname: Zhang fullname: Zhang, Qingying organization: Obstetrics and Gynecology Hospital, Fudan University – sequence: 6 givenname: Haidong surname: Cheng fullname: Cheng, Haidong email: hdcheng_2003@163.com organization: Obstetrics and Gynecology Hospital, Fudan University |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35387610$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1210/clinem/dgaa899 10.1016/j.ajog.2007.09.028 10.1080/15438627.2018.1502183 10.1080/10543406.2011.592234 10.1016/j.diabres.2018.08.019 10.2337/dc09-1848 10.2337/dc17-S016 10.1371/journal.pone.0206617 10.1371/journal.pone.0136017 10.1111/j.1467-789X.2011.00944.x 10.1055/s-0038-1670634 10.1590/1516-3180.2016.0358280417 10.1016/j.amjms.2017.09.012 10.2337/dc21-S014 10.2337/dc12-1157 10.3390/nu11061210 10.1016/S0020-7292(15)30033-3 10.3109/14767058.2013.847081 10.4093/dmj.2017.41.6.486 10.1016/j.diabres.2016.12.014 10.18632/oncotarget.17651 10.1186/s12884-021-04295-2 10.1016/j.jsbmb.2020.105737 10.2337/dc15-2027 10.1371/journal.pone.0215372 10.1097/AOG.0000000000002159 10.1111/jdi.12989 |
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Keywords | Obesity indices Gestational diabetes mellitus First trimester pregnancy Abdominal circumference height ratio Abdominal circumference Receiver operator characteristic |
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References | AM Nevill (4615_CR29) 2020; 28 G Jamar (4615_CR11) 2017; 135 K Giannakou (4615_CR19) 2019; 14 H Zhou (4615_CR17) 2012; 22 SH Yang (4615_CR26) 2017; 41 4615_CR13 CV Bolognani (4615_CR32) 2014; 27 B Xi (4615_CR8) 2012; 13 LR De Souza (4615_CR27) 2016; 39 4615_CR16 B Zhou (4615_CR10) 2002; 23 S Yasuda (4615_CR20) 2019; 10 Committee on Practice B-O (4615_CR5) 2017; 130 American Diabetes A: 13 (4615_CR3) 2017; 40 American Diabetes A: 14 (4615_CR2) 2021; 44 WW Zhu (4615_CR6) 2013; 36 W Bender (4615_CR23) 2019; 36 C Assaf-Balut (4615_CR14) 2020; 67 P Li (4615_CR24) 2018; 355 D KhushBakht (4615_CR25) 2018; 10 MM Hedderson (4615_CR22) 2008; 198 B Dong (4615_CR7) 2017; 8 M Hod (4615_CR1) 2015; 131 AL Borel (4615_CR12) 2018; 13 AA Adane (4615_CR21) 2017; 124 P Popova (4615_CR4) 2016; 41 J Wang (4615_CR30) 2021; 21 PV Popova (4615_CR31) 2015; 40 GJ Cho (4615_CR9) 2015; 10 P Consensus (4615_CR15) 2010; 33 D Dhawan (4615_CR28) 2020; 203 B Cristina (4615_CR18) 2018; 144 YT Wu (4615_CR33) 2021; 106 |
References_xml | – volume: 106 start-page: e1191 issue: 3 year: 2021 ident: 4615_CR33 publication-title: J Clin Endocrinol Metab doi: 10.1210/clinem/dgaa899 – volume: 67 start-page: 342 issue: 5 year: 2020 ident: 4615_CR14 publication-title: Endocrinol Diabetes Nutr (Engl Ed) – volume: 198 start-page: 401 issue: 4 year: 2008 ident: 4615_CR22 publication-title: Am J Obstet Gynecol doi: 10.1016/j.ajog.2007.09.028 – volume: 28 start-page: 15 issue: 1 year: 2020 ident: 4615_CR29 publication-title: Res Sports Med doi: 10.1080/15438627.2018.1502183 – volume: 22 start-page: 1244 issue: 6 year: 2012 ident: 4615_CR17 publication-title: J Biopharm Stat doi: 10.1080/10543406.2011.592234 – volume: 144 start-page: 286 year: 2018 ident: 4615_CR18 publication-title: Diabetes Res Clin Pract doi: 10.1016/j.diabres.2018.08.019 – volume: 33 start-page: 676 issue: 3 year: 2010 ident: 4615_CR15 publication-title: Diabetes Care doi: 10.2337/dc09-1848 – volume: 23 start-page: 5 issue: 1 year: 2002 ident: 4615_CR10 publication-title: Zhonghua Liu Xing Bing Xue Za Zhi – volume: 40 start-page: 239 issue: 4 year: 2015 ident: 4615_CR31 publication-title: Minerva Endocrinol – volume: 40 start-page: S114 issue: Suppl 1 year: 2017 ident: 4615_CR3 publication-title: Diabetes Care doi: 10.2337/dc17-S016 – volume: 13 start-page: e0206617 issue: 11 year: 2018 ident: 4615_CR12 publication-title: PloS One doi: 10.1371/journal.pone.0206617 – volume: 10 start-page: e0136017 issue: 8 year: 2015 ident: 4615_CR9 publication-title: PloS One doi: 10.1371/journal.pone.0136017 – ident: 4615_CR16 – volume: 13 start-page: 287 issue: 3 year: 2012 ident: 4615_CR8 publication-title: Obes Rev doi: 10.1111/j.1467-789X.2011.00944.x – volume: 36 start-page: 517 issue: 5 year: 2019 ident: 4615_CR23 publication-title: Am J Perinatol doi: 10.1055/s-0038-1670634 – volume: 135 start-page: 462 issue: 5 year: 2017 ident: 4615_CR11 publication-title: Sao Paulo Med J doi: 10.1590/1516-3180.2016.0358280417 – volume: 355 start-page: 149 issue: 2 year: 2018 ident: 4615_CR24 publication-title: Am J Med Sci doi: 10.1016/j.amjms.2017.09.012 – volume: 44 start-page: S200 issue: Suppl 1 year: 2021 ident: 4615_CR2 publication-title: Diabetes Care doi: 10.2337/dc21-S014 – volume: 36 start-page: 586 issue: 3 year: 2013 ident: 4615_CR6 publication-title: Diabetes Care doi: 10.2337/dc12-1157 – ident: 4615_CR13 doi: 10.3390/nu11061210 – volume: 131 start-page: S173 issue: Suppl 3 year: 2015 ident: 4615_CR1 publication-title: Int J Gynaecol Obstet doi: 10.1016/S0020-7292(15)30033-3 – volume: 27 start-page: 943 issue: 9 year: 2014 ident: 4615_CR32 publication-title: J Matern Fetal Neonatal Med doi: 10.3109/14767058.2013.847081 – volume: 41 start-page: 486 issue: 6 year: 2017 ident: 4615_CR26 publication-title: Diabetes Metab J doi: 10.4093/dmj.2017.41.6.486 – volume: 124 start-page: 72 year: 2017 ident: 4615_CR21 publication-title: Diabetes Res Clin Pract doi: 10.1016/j.diabres.2016.12.014 – volume: 10 start-page: e2699 issue: 5 year: 2018 ident: 4615_CR25 publication-title: Cureus – volume: 8 start-page: 58364 issue: 35 year: 2017 ident: 4615_CR7 publication-title: Oncotarget doi: 10.18632/oncotarget.17651 – volume: 21 start-page: 814 issue: 1 year: 2021 ident: 4615_CR30 publication-title: BMC Pregnancy Childbirth doi: 10.1186/s12884-021-04295-2 – volume: 203 start-page: 105737 year: 2020 ident: 4615_CR28 publication-title: J Steroid Biochem Mol Biol doi: 10.1016/j.jsbmb.2020.105737 – volume: 39 start-page: 61 issue: 1 year: 2016 ident: 4615_CR27 publication-title: Diabetes Care doi: 10.2337/dc15-2027 – volume: 14 start-page: e0215372 issue: 4 year: 2019 ident: 4615_CR19 publication-title: PloS One doi: 10.1371/journal.pone.0215372 – volume: 130 start-page: e17 issue: 1 year: 2017 ident: 4615_CR5 publication-title: Obstet Gynecol doi: 10.1097/AOG.0000000000002159 – volume: 41 start-page: 477 issue: 4 year: 2016 ident: 4615_CR4 publication-title: Minerva Endocrinol – volume: 10 start-page: 1075 issue: 4 year: 2019 ident: 4615_CR20 publication-title: J Diabetes Investig doi: 10.1111/jdi.12989 |
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The incidence rates of obesity and gestational diabetes mellitus (GDM) are increasing in parallel. This study aimed to evaluate the relationship... The incidence rates of obesity and gestational diabetes mellitus (GDM) are increasing in parallel. This study aimed to evaluate the relationship between... Background The incidence rates of obesity and gestational diabetes mellitus (GDM) are increasing in parallel. This study aimed to evaluate the relationship... Abstract Background The incidence rates of obesity and gestational diabetes mellitus (GDM) are increasing in parallel. This study aimed to evaluate the... |
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SubjectTerms | Abdomen Abdominal circumference Abdominal circumference height ratio Blood Glucose - analysis Body Mass Index China - epidemiology Diabetes, Gestational - diagnosis Diabetes, Gestational - epidemiology Female First trimester pregnancy Gestational diabetes Gestational diabetes mellitus Glucose Glucose Tolerance Test Gynecology Hospitals Humans Maternal and Child Health Medicine Medicine & Public Health Obesity Obesity - complications Obesity - epidemiology Obesity indices Obstetrics Overweight Population Pregnancy Pregnancy Trimester, First Prenatal care Receiver operator characteristic Regression analysis Reproductive Medicine Risk Factors Womens health Working groups |
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Title | Prediction of gestational diabetes mellitus by different obesity indices |
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