Effects of seasonal variations and meteorological factors on IVF pregnancy outcomes: a cohort study from Henan Province, China
Abstract Objective To investigate whether seasonal variations and meteorological factors influence pregnancy outcomes in women undergoing in vitro fertilization-embryo transfer (IVF-ET) treatment. Design Retrospective cohort study. Setting University-affiliated reproductive medical center. Subjects...
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BMC
2022-08-01
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Series: | Reproductive Biology and Endocrinology |
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Online Access: | https://doi.org/10.1186/s12958-022-00986-3 |
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author | Ting Chu Di Wang Ting Yu Jun Zhai |
author_facet | Ting Chu Di Wang Ting Yu Jun Zhai |
author_sort | Ting Chu |
collection | DOAJ |
description | Abstract Objective To investigate whether seasonal variations and meteorological factors influence pregnancy outcomes in women undergoing in vitro fertilization-embryo transfer (IVF-ET) treatment. Design Retrospective cohort study. Setting University-affiliated reproductive medical center. Subjects Women aged < 35 years undergoing IVF from June 1, 2015, to June 1, 2019. Interventions Cycles were divided into four groups according to the date of the beginning of ovulation induction: spring (659 cycles), summer (578 cycles), autumn (519 cycles), and winter (534 cycles). Results The high-quality embryo rate was higher in autumn and winter than in cycles in which ovulation induction occurred in spring and summer (58.70% vs. 58.78% vs. 62.67% vs. 63.42%; P < 0.001). The results of linear regression analysis showed that the high-quality embryo rate was significantly correlated with the daily average temperature of ovulation induction (P = 0.037). The clinical pregnancy rates of cycles starting ovulation induction in spring, summer, and autumn were significantly higher than those starting in winter (70.71% vs. 73.18% vs. 70.13% vs. 65.17%; P = 0.031), while the biochemical pregnancy rate, early abortion rate, and live birth rate were not significantly different (P > 0.050). Multivariate logistic regression analysis showed significant seasonal variation in clinical pregnancy (OR = 1.643, 95% CI = 1.203–2.243; P = 0.002), and that a higher daily average temperature at the time of ovulation induction increased the clinical pregnancy rate (OR = 1.012, 95% CI = 1.001–1.022; P = 0.031). Conclusions In women younger than 35 years who undergo IVF treatment, the season and ambient temperature on the date of the beginning of ovulation induction may have an impact on embryo development and clinical pregnancy. |
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format | Article |
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issn | 1477-7827 |
language | English |
last_indexed | 2024-04-13T11:23:21Z |
publishDate | 2022-08-01 |
publisher | BMC |
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series | Reproductive Biology and Endocrinology |
spelling | doaj.art-98faf2719e07439eadc843fc68710b162022-12-22T02:48:45ZengBMCReproductive Biology and Endocrinology1477-78272022-08-0120111010.1186/s12958-022-00986-3Effects of seasonal variations and meteorological factors on IVF pregnancy outcomes: a cohort study from Henan Province, ChinaTing Chu0Di Wang1Ting Yu2Jun Zhai3Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou UniversityCenter for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou UniversityCenter for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou UniversityCenter for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou UniversityAbstract Objective To investigate whether seasonal variations and meteorological factors influence pregnancy outcomes in women undergoing in vitro fertilization-embryo transfer (IVF-ET) treatment. Design Retrospective cohort study. Setting University-affiliated reproductive medical center. Subjects Women aged < 35 years undergoing IVF from June 1, 2015, to June 1, 2019. Interventions Cycles were divided into four groups according to the date of the beginning of ovulation induction: spring (659 cycles), summer (578 cycles), autumn (519 cycles), and winter (534 cycles). Results The high-quality embryo rate was higher in autumn and winter than in cycles in which ovulation induction occurred in spring and summer (58.70% vs. 58.78% vs. 62.67% vs. 63.42%; P < 0.001). The results of linear regression analysis showed that the high-quality embryo rate was significantly correlated with the daily average temperature of ovulation induction (P = 0.037). The clinical pregnancy rates of cycles starting ovulation induction in spring, summer, and autumn were significantly higher than those starting in winter (70.71% vs. 73.18% vs. 70.13% vs. 65.17%; P = 0.031), while the biochemical pregnancy rate, early abortion rate, and live birth rate were not significantly different (P > 0.050). Multivariate logistic regression analysis showed significant seasonal variation in clinical pregnancy (OR = 1.643, 95% CI = 1.203–2.243; P = 0.002), and that a higher daily average temperature at the time of ovulation induction increased the clinical pregnancy rate (OR = 1.012, 95% CI = 1.001–1.022; P = 0.031). Conclusions In women younger than 35 years who undergo IVF treatment, the season and ambient temperature on the date of the beginning of ovulation induction may have an impact on embryo development and clinical pregnancy.https://doi.org/10.1186/s12958-022-00986-3IVFSeasonTemperatureEmbryonic developmentPregnancy outcome |
spellingShingle | Ting Chu Di Wang Ting Yu Jun Zhai Effects of seasonal variations and meteorological factors on IVF pregnancy outcomes: a cohort study from Henan Province, China Reproductive Biology and Endocrinology IVF Season Temperature Embryonic development Pregnancy outcome |
title | Effects of seasonal variations and meteorological factors on IVF pregnancy outcomes: a cohort study from Henan Province, China |
title_full | Effects of seasonal variations and meteorological factors on IVF pregnancy outcomes: a cohort study from Henan Province, China |
title_fullStr | Effects of seasonal variations and meteorological factors on IVF pregnancy outcomes: a cohort study from Henan Province, China |
title_full_unstemmed | Effects of seasonal variations and meteorological factors on IVF pregnancy outcomes: a cohort study from Henan Province, China |
title_short | Effects of seasonal variations and meteorological factors on IVF pregnancy outcomes: a cohort study from Henan Province, China |
title_sort | effects of seasonal variations and meteorological factors on ivf pregnancy outcomes a cohort study from henan province china |
topic | IVF Season Temperature Embryonic development Pregnancy outcome |
url | https://doi.org/10.1186/s12958-022-00986-3 |
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