Generic placeholder image

Current Pharmaceutical Design

Editor-in-Chief

ISSN (Print): 1381-6128
ISSN (Online): 1873-4286

Research Article

Association of Parity with the Risks of Gestational Diabetes and Macrosomia: A Retrospective Cohort Study in Nanjing, China

Author(s): Shijie Geng, Junya Wang, Zhi Geng and Juan Wen*

Volume 30, Issue 15, 2024

Published on: 04 April, 2024

Page: [1194 - 1199] Pages: 6

DOI: 10.2174/0113816128294311240322041144

Price: $65

conference banner
Abstract

Background: After implementing the two-child policy, more Chinese women who had a previous delivery had their second child. Nevertheless, the impacts of parity on Gestational Diabetes (GDM) and macrosomia have not been fully confirmed. Therefore, we aimed to analyse the characteristics of pregnancy by parity and evaluate the association of parity with risks of GDM/macrosomia in a Chinese population.

Methods: A total of 193,410 pregnant women (including 148,293 primiparae and 45,117 multiparae) with complete information were included. Univariate and multivariate logistic regression analyses were used to examine the association between parity and risks of GDM/macrosomia.

Results: With the gradual implementation of the two-child policy, the proportion of multiparae increased rapidly and then decreased slightly. Multiparae were more likely to be older and have higher intrapartum BMI, as compared to primiparae (P < 0.001). Univariate regression analyses suggested that parity could increase the risks of GDM and macrosomia; while after adjustment, the association between parity and GDM risk disappeared, and the effects of parity on macrosomia risk and birth weight of babies were also weakened. Further, stratified analysis showed that parity only increased the risk of GDM in women over 30 years, and the effects of parity on macrosomia risk and birth weight were more pronounced among women over 30 years compared to women under 30 years.

Conclusion: Parity was not associated with GDM risk, but mildly associated with macrosomia risk. Particular attention should be paid to multiparae with advanced age to reduce the risks of GDM and macrosomia.

[1]
Zeng Y, Hesketh T. The effects of China’s universal two-child policy. Lancet 2016; 388(10054): 1930-8.
[http://dx.doi.org/10.1016/S0140-6736(16)31405-2] [PMID: 27751400]
[2]
Hesketh T, Zhou X, Wang Y. The end of the one-child policy. JAMA 2015; 314(24): 2619-20.
[http://dx.doi.org/10.1001/jama.2015.16279] [PMID: 26545258]
[3]
Lin L, Lu C, Chen W, Li C, Guo VY. Parity and the risks of adverse birth outcomes: A retrospective study among Chinese. BMC Pregnancy Childbirth 2021; 21(1): 257.
[http://dx.doi.org/10.1186/s12884-021-03718-4] [PMID: 33771125]
[4]
Kc K, Shakya S, Zhang H. Gestational diabetes mellitus and macrosomia: A literature review. Ann Nutr Metab 2015; 66(S2): 14-20.
[http://dx.doi.org/10.1159/000371628] [PMID: 26045324]
[5]
Chu AHY, Godfrey KM. Gestational diabetes mellitus and developmental programming. Ann Nutr Metab 2020; 76(S3): 4-15.
[http://dx.doi.org/10.1159/000509902] [PMID: 33465774]
[6]
Lu Y, Zhang J, Lu X, Xi W, Li Z. Secular trends of macrosomia in southeast China, 1994-2005. BMC Public Health 2011; 11(1): 818.
[http://dx.doi.org/10.1186/1471-2458-11-818] [PMID: 22011362]
[7]
Juan J, Yang H. Prevalence, prevention, and lifestyle intervention of gestational diabetes mellitus in China. Int J Environ Res Public Health 2020; 17(24): 9517.
[http://dx.doi.org/10.3390/ijerph17249517] [PMID: 33353136]
[8]
Said AS, Manji KP. Risk factors and outcomes of fetal macrosomia in a tertiary centre in Tanzania: A case-control study. BMC Pregnancy Childbirth 2016; 16(1): 243.
[http://dx.doi.org/10.1186/s12884-016-1044-3] [PMID: 27557930]
[9]
Zhang HX, Zhao YY, Wang YQ. Analysis of the characteristics of pregnancy and delivery before and after implementation of the two-child policy. Chin Med J 2018; 131(1): 37-42.
[http://dx.doi.org/10.4103/0366-6999.221268] [PMID: 29271378]
[10]
Rao J, Fan D, Wu S, et al. Trend and risk factors of low birth weight and macrosomia in south China, 2005-2017: A retrospective observational study. Sci Rep 2018; 8(1): 3393.
[http://dx.doi.org/10.1038/s41598-018-21771-6] [PMID: 29467433]
[11]
Koyanagi A, Zhang J, Dagvadorj A, et al. Macrosomia in 23 developing countries: An analysis of a multicountry, facility-based, cross-sectional survey. Lancet 2013; 381(9865): 476-83.
[http://dx.doi.org/10.1016/S0140-6736(12)61605-5] [PMID: 23290494]
[12]
Luo L, Zeng H, Zeng M, et al. The second pregnancy has no effect in the incidence of macrosomia: A cross-sectional survey in two western Chinese regions. J Health Popul Nutr 2021; 40(1): 19.
[http://dx.doi.org/10.1186/s41043-021-00244-z] [PMID: 33849665]
[13]
Tai W, Hu L, Wen J. Maternal and neonatal outcomes after assisted reproductive technology: A retrospective cohort study in China. Front Med 2022; 9: 837762.
[http://dx.doi.org/10.3389/fmed.2022.837762] [PMID: 35479950]
[14]
Wen J. Impact of COVID-19 pandemic on birth outcomes: A retrospective cohort study in Nanjing, China. Front Public Health 2022; 10: 923324.
[http://dx.doi.org/10.3389/fpubh.2022.923324] [PMID: 35923970]
[15]
Brekke PH, Rama T, Pilán I, Nytrø Ø, Øvrelid L. Synthetic data for annotation and extraction of family history information from clinical text. J Biomed Semantics 2021; 12(1): 11.
[http://dx.doi.org/10.1186/s13326-021-00244-2] [PMID: 34261535]
[16]
Metzger BE, Gabbe SG, Persson B, et al. International association of diabetes and pregnancy study groups recommendations on the diagnosis and classification of hyperglycemia in pregnancy. Diabetes Care 2010; 33(3): 676-82.
[http://dx.doi.org/10.2337/dc09-1848] [PMID: 20190296]
[17]
Schwartz N, Nachum Z, Green MS. The prevalence of gestational diabetes mellitus recurrence-effect of ethnicity and parity: A metaanalysis. Am J Obstet Gynecol 2015; 213(3): 310-7.
[http://dx.doi.org/10.1016/j.ajog.2015.03.011] [PMID: 25757637]
[18]
Karcaaltincaba D, Calis P, Ocal N, Ozek A, Inan AM, Bayram M. Prevalence of gestational diabetes mellitus evaluated by universal screening with a 75-g, 2-hour oral glucose tolerance test and IADPSG criteria. Int J Gynaecol Obstet 2017; 138(2): 148-51.
[http://dx.doi.org/10.1002/ijgo.12205] [PMID: 28494099]
[19]
Zhu WW, Yang HX, Wang C, Su RN, Feng H, Kapur A. High prevalence of gestational diabetes mellitus in Beijing. Chin Med J 2017; 130(9): 1019-25.
[http://dx.doi.org/10.4103/0366-6999.204930] [PMID: 28469095]
[20]
Wen J, Kang C, Wang J, et al. Association of maternal serum 25-hydroxyvitamin D concentrations in second and third trimester with risk of macrosomia. Sci Rep 2018; 8(1): 6169.
[http://dx.doi.org/10.1038/s41598-018-24534-5] [PMID: 29670182]
[21]
Usta A, usta CS, Yildiz A, et al. Frequency of fetal macrosomia and the associated risk factors in pregnancies without gestational diabetes mellitus. Pan Afr Med J 2017; 26: 62.
[http://dx.doi.org/10.11604/pamj.2017.26.62.11440] [PMID: 28451039]

Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy