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使用基于生育感知的移动应用程序来计划怀孕的女性的妊娠时间。

Time to Pregnancy for Women Using a Fertility Awareness Based Mobile Application to Plan a Pregnancy.

机构信息

Natural Cycles USA Corp., New York, New York, USA.

Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, North Carolina, USA.

出版信息

J Womens Health (Larchmt). 2021 Nov;30(11):1538-1545. doi: 10.1089/jwh.2021.0026. Epub 2021 Sep 8.

Abstract

Time to pregnancy (TTP) is a biomarker of fecundability and has been associated with behavioral and environmental characteristics; however, these associations have not been examined in a large population-based sample of application (app) users. This observational study followed 5,376 women with an age range of 18 to 45 years who used an app to identify their fertile window. We included women who started trying to conceive between September 30, 2017 and August 31, 2018. TTP was calculated as the number of menstrual cycles from when the user switched to "Plan" mode up to and including the cycle in which they logged a positive pregnancy test. We examined associations with several characteristics, including age, gravidity, body mass index, cycle length and cycle length variation, frequency of sexual intercourse, and temperature measuring frequency. Discrete time fecundability models were used to estimate fecundability odds ratios. For the complete cohort the 6-cycle and 12-cycle cumulative pregnancy probabilities were found to be 61% (95% confidence interval [CI]: 59-62) and 74% (95% CI: 73-76), respectively. The median TTP was four cycles. The highest fecundability was associated with an age of less than 35 years, with cycle length variation <5 days and logging sexual intercourse on at least 20% of days added (the proportion of days in which intercourse was logged) (11.5% [ = 613] of entire sample). This group achieved a 6- and 12-cycle cumulative pregnancy probability of 88% (95% CI: 85-91) and 95% (95% CI: 94-97), respectively, and a TTP of 2 cycles. Natural Cycles was an effective method of identifying the fertile window and a noninvasive educational option for women planning a pregnancy. Women under age 35 with regular cycles showed a high pregnancy rate.

摘要

妊娠时间 (TTP) 是生育能力的生物标志物,与行为和环境特征有关;然而,这些关联尚未在应用程序 (app) 用户的大型基于人群的样本中进行研究。这项观察性研究跟踪了 5376 名年龄在 18 至 45 岁之间的女性,她们使用应用程序来确定自己的易孕期。我们纳入了 2017 年 9 月 30 日至 2018 年 8 月 31 日期间开始尝试怀孕的女性。TTP 计算为从用户切换到“计划”模式到记录阳性妊娠试验的周期中,月经周期的数量。我们研究了与几个特征的关联,包括年龄、孕次、体重指数、周期长度和周期长度变化、性交频率和体温测量频率。离散时间生育能力模型用于估计生育能力优势比。对于完整队列,6 个周期和 12 个周期的累积妊娠概率分别为 61%(95%置信区间 [CI]:59-62)和 74%(95% CI:73-76)。TTP 的中位数为 4 个周期。生育能力最高的是年龄小于 35 岁,周期长度变化<5 天,并且至少有 20%的记录性交天数(记录性交的天数比例)增加(整个样本的 11.5%[=613])。该组实现了 6 个和 12 个周期的累积妊娠概率分别为 88%(95% CI:85-91)和 95%(95% CI:94-97),TTP 为 2 个周期。自然周期是识别易孕期的有效方法,也是计划怀孕的女性的一种非侵入性教育选择。年龄小于 35 岁、周期规律的女性妊娠率较高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d59/8917888/b8d4ce778671/jwh.2021.0026_figure1.jpg

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