Bayes Conditional Probability-Based Causation Analysis between Gestational Diabetes Mellitus (GDM) and Pregnancy-Induced Hypertension (PIH): A Statistic Case Study in Harbin, China
Both gestational diabetes mellitus (GDM) and pregnancy-induced hypertension (PIH) would influence the gestation significantly. However, the causation between these two symptoms remains speculative. 16,404 pregnant women were identified in Harbin, China, in this study. We investigated and evaluated t...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Diabetes Research |
| Online Access: | http://dx.doi.org/10.1155/2022/2590415 |
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| _version_ | 1832562385444929536 |
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| author | Dan Diao Fang Diao Bin Xiao Ning Liu Dan Zheng Fengjuan Li Xu Yang |
| author_facet | Dan Diao Fang Diao Bin Xiao Ning Liu Dan Zheng Fengjuan Li Xu Yang |
| author_sort | Dan Diao |
| collection | DOAJ |
| description | Both gestational diabetes mellitus (GDM) and pregnancy-induced hypertension (PIH) would influence the gestation significantly. However, the causation between these two symptoms remains speculative. 16,404 pregnant women were identified in Harbin, China, in this study. We investigated and evaluated the causal effect of GDM on PIH based on the Bayes conditional probability. The statistical results indicated that PIH might cause GDM, but not vice versa. Also, this case study demonstrated that the decrease temperature might also cause hypertension during pregnancy, and the prevalence rate of GDM increased with age. However, the prevalence of diabetes did not show a remarkable difference in varied areas and ages. This study could provide some essential information that will help to investigate the mechanism for GDM and PIH. |
| format | Article |
| id | doaj-art-2193ce60956c438680ba0ce752f0025b |
| institution | Kabale University |
| issn | 2314-6753 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Diabetes Research |
| spelling | doaj-art-2193ce60956c438680ba0ce752f0025b2025-02-03T01:22:45ZengWileyJournal of Diabetes Research2314-67532022-01-01202210.1155/2022/2590415Bayes Conditional Probability-Based Causation Analysis between Gestational Diabetes Mellitus (GDM) and Pregnancy-Induced Hypertension (PIH): A Statistic Case Study in Harbin, ChinaDan Diao0Fang Diao1Bin Xiao2Ning Liu3Dan Zheng4Fengjuan Li5Xu Yang6Red Cross Central Hospital (Harbin Obstetrics and Gynecology Hospital Affiliated with Harbin Medical University)Red Cross Central Hospital (Harbin Obstetrics and Gynecology Hospital Affiliated with Harbin Medical University)Red Cross Central Hospital (Harbin Obstetrics and Gynecology Hospital Affiliated with Harbin Medical University)Red Cross Central Hospital (Harbin Obstetrics and Gynecology Hospital Affiliated with Harbin Medical University)Red Cross Central Hospital (Harbin Obstetrics and Gynecology Hospital Affiliated with Harbin Medical University)Red Cross Central Hospital (Harbin Obstetrics and Gynecology Hospital Affiliated with Harbin Medical University)School of Civil EngineeringBoth gestational diabetes mellitus (GDM) and pregnancy-induced hypertension (PIH) would influence the gestation significantly. However, the causation between these two symptoms remains speculative. 16,404 pregnant women were identified in Harbin, China, in this study. We investigated and evaluated the causal effect of GDM on PIH based on the Bayes conditional probability. The statistical results indicated that PIH might cause GDM, but not vice versa. Also, this case study demonstrated that the decrease temperature might also cause hypertension during pregnancy, and the prevalence rate of GDM increased with age. However, the prevalence of diabetes did not show a remarkable difference in varied areas and ages. This study could provide some essential information that will help to investigate the mechanism for GDM and PIH.http://dx.doi.org/10.1155/2022/2590415 |
| spellingShingle | Dan Diao Fang Diao Bin Xiao Ning Liu Dan Zheng Fengjuan Li Xu Yang Bayes Conditional Probability-Based Causation Analysis between Gestational Diabetes Mellitus (GDM) and Pregnancy-Induced Hypertension (PIH): A Statistic Case Study in Harbin, China Journal of Diabetes Research |
| title | Bayes Conditional Probability-Based Causation Analysis between Gestational Diabetes Mellitus (GDM) and Pregnancy-Induced Hypertension (PIH): A Statistic Case Study in Harbin, China |
| title_full | Bayes Conditional Probability-Based Causation Analysis between Gestational Diabetes Mellitus (GDM) and Pregnancy-Induced Hypertension (PIH): A Statistic Case Study in Harbin, China |
| title_fullStr | Bayes Conditional Probability-Based Causation Analysis between Gestational Diabetes Mellitus (GDM) and Pregnancy-Induced Hypertension (PIH): A Statistic Case Study in Harbin, China |
| title_full_unstemmed | Bayes Conditional Probability-Based Causation Analysis between Gestational Diabetes Mellitus (GDM) and Pregnancy-Induced Hypertension (PIH): A Statistic Case Study in Harbin, China |
| title_short | Bayes Conditional Probability-Based Causation Analysis between Gestational Diabetes Mellitus (GDM) and Pregnancy-Induced Hypertension (PIH): A Statistic Case Study in Harbin, China |
| title_sort | bayes conditional probability based causation analysis between gestational diabetes mellitus gdm and pregnancy induced hypertension pih a statistic case study in harbin china |
| url | http://dx.doi.org/10.1155/2022/2590415 |
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