全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Factors Influencing Mode of Delivery: A Case-Control Study

DOI: 10.4236/arsci.2024.122012, PP. 141-154

Keywords: Mode of Delivery, Cesarean Section, Influencing Factors, Nomograph

Full-Text   Cite this paper   Add to My Lib

Abstract:

The primary objective of this investigation was to scrutinize the prepregnancy conditions and lifestyles of 2046 women residing in Liuzhou City, with the aim of delineating the determinants of delivery methods. Evidently, the study unearthed substantial correlations between prepregnancy body mass index, educational attainment, exposure to passive smoking, medical history, and other variables with the mode of delivery. Furthermore, a predictive nomogram model was formulated to accurately forecast the likelihood of cesarean section. These discernments equip pertinent authorities with the means to institute targeted screening and supportive measures for women contemplating pregnancy based on these identified factors. Moreover, provision of services such as prepregnancy counseling and clinical risk assessments could be instrumental in curbing the incidence of cesarean section.

References

[1]  Bruno, A.M., Metz, T.D., Grobman, W.A. and Silver, R.M. (2022) Defining a Cesarean Delivery Rate for Optimizing Maternal and Neonatal Outcomes. Obstetrics & Gynecology, 140, 399-407.
https://doi.org/10.1097/AOG.0000000000004876
[2]  Sharma, S. and Dhakal, I. (2018) Cesarean vs Vaginal Delivery: An Institutional Experience. JNMA: Journal of the Nepal Medical Association, 56, 535-539.
https://www.ncbi.nlm.nih.gov/pubmed/30058639
[3]  Darnal, N. and Dangal, G. (2020) Maternal and Fetal Outcome in Emergency versus Elective Caesarean Section. Journal of Nepal Health Research Council, 18, 186-189.
https://doi.org/10.33314/jnhrc.v18i2.2093
[4]  Hamilton, A.R.L. and Drzymalski, D.M. (2022) A Retrospective Review of Clinical and Non-Clinical Factors Associated with Unscheduled Cesarean Deliveries at One Urban Medical Center. International Journal of Gynecology & Obstetrics, 157, 154-158.
https://doi.org/10.1002/ijgo.13727
[5]  Dong, Y., Wang, L., Lu, Y., Fu, Z., Du, Y. and Wang, L. (2021) Factors Affecting Mode of Delivery in Women of Advanced Maternal Age. BioScience Trends, 15, 61-63.
https://doi.org/10.5582/bst.2020.03375
[6]  Fond, G., Bulzacka, E., Boyer, L., Llorca, P.M., Godin, O., Brunel, L., et al. (2017) Birth by Cesarean Section and Schizophrenia: Results from the Multicenter FACE-SZ Data-Set. European Archives of Psychiatry and Clinical Neuroscience, 267, 587-594.
https://doi.org/10.1007/s00406-016-0708-3
[7]  Sharifi, F., Nouraei, S. and Sharifi, N. (2017) Factors Affecting the Choice of Type of Delivery with Breast Feeding in Iranian Mothers. Electron Physician, 9, 5265-5269.
https://doi.org/10.19082/5265
[8]  Zhang, H., Tang, Y. and Wei, J. (2021) Effects of BMI in Early Pregnancy and Body Mass Growth Range during Pregnancy on Adverse Pregnancy Outcomes. Maternal and Child Health Care of China, 36, 3690-3693.
https://doi.org/10.19829/j.zgfybj.issn.1001-4411.2021.16.011
[9]  Ding, L. and Meng, T. (2020) Delivery Types and Outcomes of Pregnancy in Advanced Age Women with Second Fetus. Military Medical Journal of Southeast China, 22, 245-248.
https://doi.org/10.3969/j.issn.1672-271X.2020.03.005
[10]  Cao, Y., Yang, X., Wang, Z. and Zhou, X. (2021) Rate of Cesarean Section and Its Influencing Factors in Chongqing during 2010 and 2020. Journal of Army Medical University, 43, 2495-2499.
https://doi.org/10.16016/j.1000-5404.202105151
[11]  Gondwe, T., Betha, K., Kusneniwar, G.N., Bunker, C.H., Tang, G., Simhan, H., et al. (2019) Maternal Factors Associated with Mode of Delivery in a Population with a High Cesarean Section Rate. Journal of Epidemiology and Global Health, 9, 252-258.
https://doi.org/10.2991/jegh.k.191017.001
[12]  (1985) Appropriate Technology for Birth. The Lancet, 2, 436-437.
https://www.ncbi.nlm.nih.gov/pubmed/2863457
[13]  Li, J.Q. (2021) Survey of Factors Influencing Women’s Selection of the Delivery Method of Their Second Child in Shanxi Province, China. Pakistan Journal of Medical Sciences, 37, 846-850.
https://doi.org/10.12669/pjms.37.3.2634
[14]  Li, Y., Xi, Y. and Huang, L. (2019) Investigation of Factors Affecting Delivery Mode Selection in Patients with Scarred Uterus. Chinese Journal of Urban and Rural Enterprise Hygiene, 34, 107-108.
https://doi.org/10.16286/j.1003-5052.2019.04.042
[15]  Istrate-Ofiteru, A.M., Berceanu, C., Berceanu, S., Busuioc, C.J., Rosu, G.C., Ditescu, D., et al. (2020) The Influence of Gestational Diabetes Mellitus (GDM) and Gestational Hypertension (GH) on Placental Morphological Changes. Romanian Journal of Morphology and Embryology, 61, 371-384.
https://doi.org/10.47162/RJME.61.2.07
[16]  Preda, A., Padureanu, V., Mota, M., Stefan, A.G., Comanescu, A.C., Radu, L., et al. (2021) Analysis of Maternal and Neonatal Complications in a Group of Patients with Gestational Diabetes Mellitus. Medicina, 57, Article 1170.
https://doi.org/10.3390/medicina57111170
[17]  Story, L. and Chappell, L.C. (2017) Preterm Pre-Eclampsia: What Every Neonatologist Should Know. Early Human Development, 114, 26-30.
https://doi.org/10.1016/j.earlhumdev.2017.09.010
[18]  Wang, M., Hua, S. and Jin, Y. (2020) 164 Clinical Analysis of Failed Vaginal Trial Delivery Converted to Cesarean Section. Xinjiang Medical Journal, 50, 955-957.
https://k.vipslib.com/asset/detail/203986098995
[19]  Huang, K., Tao, F., Faragher, B., Raven, J., Tolhurst, R., Tang, S., et al. (2013) A Mixed-Method Study of Factors Associated with Differences in Caesarean Section Rates at Community Level: The Case of Rural China. Midwifery, 29, 911-920.
https://doi.org/10.1016/j.midw.2012.11.003
[20]  Sharma, G. (2016) The Changing Paradigm of Labour and Childbirth in Indian Cities: An Enquiry into Increasing Rates of Caesarean Deliveries. International Journal of Epidemiology, 45, 1390-1393.
https://doi.org/10.1093/ije/dyw119
[21]  Henson, M.C. and Chedrese, P.J. (2004) Endocrine Disruption by Cadmium, a Common Environmental Toxicant with Paradoxical Effects on Reproduction. Experimental Biology and Medicine, 229, 383-392.
https://doi.org/10.1177/153537020422900506
[22]  Enomoto, K., Aoki, S., Toma, R., Fujiwara, K., Sakamaki, K. and Hirahara, F. (2016) Pregnancy Outcomes Based on Pre-Pregnancy Body Mass Index in Japanese Women. PLOS ONE, 11, e0157081.
https://doi.org/10.1371/journal.pone.0157081
[23]  Mohammadi, M., Maroufizadeh, S., Omani-Samani, R., Almasi-Hashiani, A. and Amini, P. (2019) The Effect of Prepregnancy Body Mass Index on Birth Weight, Preterm Birth, Cesarean Section, and Preeclampsia in Pregnant Women. Journal of Maternal-Fetal and Neonatal Medicine, 32, 3818-3823.
https://doi.org/10.1080/14767058.2018.1473366
[24]  Cresswell, J.A., Campbell, O.M., De Silva, M.J., Slaymaker, E. and Filippi, V. (2016) Maternal Obesity and Caesarean Delivery in Sub-Saharan Africa. Tropical Medicine & International Health, 21, 879-885.
https://doi.org/10.1111/tmi.12713
[25]  Zhou, H., Gu, N., Yang, Y., Wang, Z., Hu, Y. and Dai, Y. (2022) Nomogram Predicting Cesarean Delivery Undergoing Induction of Labor among High-Risk Nulliparous Women at Term: A Retrospective Study. BMC Pregnancy Childbirth, 22, Article No. 55.
https://doi.org/10.1186/s12884-022-04386-8
[26]  Hernandez-Martinez, A., Pascual-Pedreno, A.I., Bano-Garnes, A.B., Melero-Jimenez, M.R., Tenias-Burillo, J.M. and Molina-Alarcon, M. (2016) Predictive Model for Risk of Cesarean Section in Pregnant Women after Induction of Labor. Archives of Gynecology and Obstetrics, 293, 529-538.
https://doi.org/10.1007/s00404-015-3856-1
[27]  Rossi, R.M., Requarth, E., Warshak, C.R., Dufendach, K.R., Hall, E.S. and DeFranco, E.A. (2020) Risk Calculator to Predict Cesarean Delivery among Women Undergoing Induction of Labor. Obstetrics & Gynecology, 135, 559-568.
https://doi.org/10.1097/AOG.0000000000003696

Full-Text

comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133

WeChat 1538708413