Preconception blood pressure and time to pregnancy among couples attempting to conceive their first pregnancy

Xiang, Hong; Zhao, Jun; Huang, Kai-Ping; Dai, Qi; Zhang, Honggang; Yang, Xuan; Wu, Jingwei; Fang, Shenghao; Wang, Qiaomei; Shen, Haiping; Xu, Zhihong; Zhang, Yiping; Yan, Donghai; Qi, Daxun; Yang, Xueying; Zhang, Yue; Ma, Xu; Wang, Bei

doi:10.1016/j.ajog.2019.05.038

Cited by 15 publications

(11 citation statements)

References 38 publications

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“…The data have been widely mined for scientific exploration. 2 , 17 We acquired the birthdays of each couple so that we could calculate the ages and age difference between couples. All women self‐reported a range of data, including educational level, occupation, pregnancy history, number of children, menstruation situation, and drinking and smoking habits.…”

Section: Methodsmentioning

confidence: 99%

Female fecundability is associated with pre‐pregnancy allostatic load: Analysis of a Chinese cohort

Xiang

Yin

Zhao

et al. 2022

Acta Obstet Gynecol Scand

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Introduction: Allostatic load (AL) is a practical index that reflects multi-system physiological changes which occur in response to chronic psychosocial stress. This study investigated the association between female pre-pregnancy allostatic load and time to pregnancy. Material and methods:We enrolled 444 women who met the inclusion criteria and were attempting to achieve pregnancy. Their allostatic load scores at baseline were evaluated by nine indicators (systolic blood pressure, diastolic blood pressure, fasting plasma glucose, plasma cortisol, noradrenaline, interleukin-6, hypersensitive C-reactive protein, high density lipoprotein cholesterol and body mass index). The participants were followed up and their pregnancy outcome ascertained 1 year later;we then calculated time-to-pregnancy. Cox models were used to estimate fecundability ratios and their 95% confidence intervals (95% CI) for different allostatic load scores. Results:The median allostatic load score was 1 with a range of 0-6. The females were divided into four groups according to allostatic load score: group A (allostatic load = 0, 150/444, 33.8%), group B (allostatic load = 1-2, 156/444, 35.1%), group C (allostatic load = 3-4, 100/444, 22.5%) and group D (allostatic load = 5-6, 38/444, 8.6%). The cumulative pregnancy rate over 12 months for the four groups (A-D) was 55.4%, 44.5%, 50.9% and 26.9%, respectively (log-rank test, p = 0.042). After adjusting for potential confounding factors, group D showed a 59% reduction of fecundability compared with group A (fecundability ratio = 0.41, 95% CI 0.21-0.83). Conclusions:Women with a higher allostatic load score may have lower fecundability. Our findings suggest that the assessment of allostatic load during pre-conception consultation would be highly prudent.

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Section: Methodsmentioning

confidence: 99%

Female fecundability is associated with pre‐pregnancy allostatic load: Analysis of a Chinese cohort

Xiang

Yin

Zhao

et al. 2022

Acta Obstet Gynecol Scand

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“…Then, TTP can be recorded accurately through follow-up. Meanwhile, life-style changes during the pregnancy attempting period can be recorded; this data can make up for the bias from the single measurement of baseline characteristics [ 15 ]. In addition, a prospective design can also improve the accuracy of the evaluation outcome, especially biochemical pregnancy and early abortion, which would be missed if a retrospective investigation was performed.…”

Section: Main Textmentioning

confidence: 99%

“…There have been few international studies on TTP using RWD. In China, some studies used data from the National Free Pre-pregnancy Health Check-up Project; this data was collected conventionally to explore the risk factors of TTP, including body mass index (BMI) [ 24 ], blood pressure status [ 15 ] and the vaginal microenvironment [ 25 ]. RWD-based studies present some advantages, including low implementation costs, huge sample sizes, and reduced choice bias (all the participants are from a natural population, including infertile and fertile couples).…”

Section: Main Textmentioning

confidence: 99%

“…Furthermore, Whitworth et al reported that type 1 or type 2 diabetes could damage female fertility, even among those with a normal menstrual cycle [ 13 ]. In addition, our previous study found that couples with hypertension (a systolic blood pressure of more than 140 mm Hg or a diastolic blood pressure of more than 90 mm Hg) have a lower fecundability [ 15 ]. However, these associations were not statistically significant in other studies [ 52 ].…”

Section: Main Textmentioning

confidence: 99%

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The current situation and future directions for the study on time-to-pregnancy: a scoping review

et al. 2022

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Introduction As problems associated with infertility and population aging increase, there is a growing interest in the factors that cause a decline in human fertility. Time-to-pregnancy (TTP) is a good indicator with which to reflect human fecundability. Here, we present a comprehensive overview of this topic. Methods Relevant qualitative and quantitative studies were identified by searching the Web of science and PubMed electronic databases. We included all literature, written in English, from inception to the 10th April 2021 providing the focus was on TTP. We conducted a narrative synthesis using thematic analysis. Results Traditional TTP-related study protocols include prospective and retrospective cohorts that provide a wealth of data to reveal potential influences on TTP. Thus far, a variety of factors have been shown to be associated with TTP in couples preparing for pregnancy, including basic demographic characteristics, menstrual status, chronic disease status, environmental endocrine disruptor exposure, and lifestyles. However, there are inevitable epidemiological bias in the existing studies, including recall bias, selection bias and measurement bias. Some methodological advances have brought new opportunities to TTP research, which make it possible to develop precision interventions for population fertility. Future TTP studies should take advantage of artificial intelligence, machine learning, and high-throughput sequencing technologies, and apply medical big data to fully consider and avoid possible bias in the design. Conclusion There are many opportunities and future challenges for TTP related studies which would provide a scientific basis for the “precise health management” of the population preparing for pregnancy.

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“…Previous studies suggested that fertility might be related to some physical health metrics such as prepregnancy blood glucose, blood pressure, and body mass index (BMI) (6)(7)(8). Among them, the research on the correlation between female or male BMI and fertility has always been a hot topic.…”

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confidence: 99%

Couples’ prepregnancy body mass index and time to pregnancy among those attempting to conceive their first pregnancy

Zhang

Zhao

et al. 2020

Fertility and Sterility

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Preconception blood pressure and time to pregnancy among couples attempting to conceive their first pregnancy

Cited by 15 publications

References 38 publications

Female fecundability is associated with pre‐pregnancy allostatic load: Analysis of a Chinese cohort

Female fecundability is associated with pre‐pregnancy allostatic load: Analysis of a Chinese cohort

The current situation and future directions for the study on time-to-pregnancy: a scoping review

Couples’ prepregnancy body mass index and time to pregnancy among those attempting to conceive their first pregnancy

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