Birth and Delivery · Labor and Birth
Abstract
The purpose of this study was to evaluate the effects of cognitive training strategies, inclusive of mindfulness-based techniques and pain neuroscience education (PNE), during pregnancy. Using a pre-posttest design, primiparous women seeking a physiological birth used a novel mobile application (GentleBirth) and a web-based PNE course as a means of labor/birth preparation. Self-report questionnaires at baseline, prebirth, and postbirth assessed all studied outcomes (pain knowledge, pain and birth self-efficacy, and birth outcomes). Use of the GentleBirth app combined with PNE during pregnancy was associated with improved pain knowledge, χ2(2) = 95.9, p < .001, and birth self-efficacy, F(2, 268) = 71.54, p < .001; high rates of labor coping, 7.48 (standard deviation 2.29); and lower rates of cesarean births and epidural use.
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Related research
Physical Activity · Exercise and Ovulation
"Effect of birth ball abdominal core training on pregnancy fatigue, waist pain and delivery outcomes"
Zhang R et al., 2022 · Int J Gynaecol Obstet
To evaluate the effect of birth ball abdominal core training on fatigue, waist pain, and delivery outcomes in middle and late pregnancy. A prospective study of 209 primipara in total with 24–27 weeks of gestation were recruited and divided into the training group (109 cases) and the control group (100 cases). The control group received routine prenatal exercise. On the basis of routine prenatal exercise, pregnant women in the training group were given birth ball exercises based on abdominal core training. The difference in pregnancy fatigue, waist discomfort, and delivery outcomes between the two groups were compared. The waist pain and fatigue ratings of women were significantly lower and the vaginal delivery rate (74.3%) was significantly higher (62%) (P < 0.001) in the training group. There were no significant differences in the total stage of labor, postpartum hemorrhage, neonatal weight and 1‐min neonatal Apgar score between the two groups. The rate of episiotomy in the training group (14.7%) was significantly lower than that in the control group (25.0%) (P < 0.05). Birth ball exercises can relieve fatigue and waist pain in middle and late 2021 pregnancy, reduce the rate of episiotomy, and promote spontaneous vaginal delivery.
Effectiveness · Comparative Effectiveness
A randomized trial of web-based fertility-tracking software and fecundability
Wise LA et al., 2023 · Fertil Steril · Free full text on PubMed Central
To assess the effect of randomization to FertilityFriend.com, a mobile computing fertility-tracking app, on fecundability. Parallel non-blinded randomized controlled trial nested within the Pregnancy Study Online (PRESTO), a North American preconception cohort. PATIENT(S): Female participants aged 21 to 45 years attempting conception for ≤6 menstrual cycles at enrolment (2013-2019). Randomization (1:1) of 5532 participants to receive a premium Fertility Friend (FF) subscription. MAIN OUTCOME MEASURE(S): Fecundability (per-cycle probability of conception). Participants completed bimonthly follow-up questionnaires until pregnancy or a censoring event, whichever came first. We first performed an intent-to-treat analysis of the effect of FF randomization on fecundability. In secondary analyses, we used a per-protocol approach that accounted for adherence in each trial arm. In both analyses, we used proportional probabilities regression models to estimate fecundability ratios (FR) and 95% confidence intervals (CI) comparing those randomized vs. not randomized and applied inverse probability weights to account for loss-to-follow-up (intent-to-treat and per-protocol analyses) and adherence (per-protocol analyses only). Using life-table methods, 64% of the 2775 participants randomized to FF and 63% of the 2767 participants not randomized to FF conceived during 12 cycles; these respective percentages were each 70% among those with 0-1 cycles of attempt time at enrolment. Of those randomized to FF, 72% were defined as adherent (68% of observed menstrual cycles). In intent-to-treat analyses, there was no appreciable association overall (FR = 0.97; 95% CI, 0.90-1.04) or within strata of pregnancy attempt time at enrolment, age, education, or other characteristics. In per-protocol analyses, we observed little association overall (FR = 1.06; 95% CI, 0.99-1.14), but weak-to-moderate positive associations among participants who had longer attempt times at enrolment (FR = 1.15; 95% CI, 0.98-1.35 for 3-4 cycles; FR = 1.14; 95% CI, 0.87-1.48 for 5-6 cycles), were aged <25 years (FR = 1.29; 95% CI, 1.01-1.66), had ≤12 years of education (FR = 1.32; 95% CI, 0.92-1.89), or were non-users of hormonal contraception within 3 months before enrolment (FR = 1.10; 95% CI, 1.02-1.19). No appreciable associations were observed in intent-to-treat analyses. In secondary per-protocol analyses that accounted for adherence, randomization to FF was associated with slightly greater fecundability among selected subgroups of participants; however, these results are susceptible to unmeasured confounding.
Effectiveness · Fertile Window Estimation
Fecundability in relation to use of mobile computing apps to track the menstrual cycle
Stanford JB et al., 2020 · Hum Reprod · Free full text on PubMed Central
To what extent does the use of mobile computing apps to track the menstrual cycle and the fertile window influence fecundability among women trying to conceive? After adjusting for potential confounders, use of any of several different apps was associated with increased fecundability ranging from 12% to 20% per cycle of attempt. Many women are using mobile computing apps to track their menstrual cycle and the fertile window, including while trying to conceive. STUDY DESIGN, SIZE, The Pregnancy Study Online (PRESTO) is a North American prospective internet-based cohort of women who are aged 21-45 years, trying to conceive and not using contraception or fertility treatment at baseline. PARTICIPANTS/MATERIALS, SETTING, We restricted the analysis to 8363 women trying to conceive for no more than 6 months at baseline; the women were recruited from June 2013 through May 2019. Women completed questionnaires at baseline and every 2 months for up to 1 year. The main outcome was fecundability, i.e. the per-cycle probability of conception, which we assessed using self-reported data on time to pregnancy (confirmed by positive home pregnancy test) in menstrual cycles. On the baseline and follow-up questionnaires, women reported whether they used mobile computing apps to track their menstrual cycles ('cycle apps') and, if so, which one(s). We estimated fecundability ratios (FRs) for the use of cycle apps, adjusted for female age, race/ethnicity, prior pregnancy, BMI, income, current smoking, education, partner education, caffeine intake, use of hormonal contraceptives as the last method of contraception, hours of sleep per night, cycle regularity, use of prenatal supplements, marital status, intercourse frequency and history of subfertility. We also examined the impact of concurrent use of fertility indicators: basal body temperature, cervical fluid, cervix position and/or urine LH. MAIN Among 8363 women, 6077 (72.7%) were using one or more cycle apps at baseline. A total of 122 separate apps were reported by women. We designated five of these apps before analysis as more likely to be effective (Clue, Fertility Friend, Glow, Kindara, Ovia; hereafter referred to as 'selected apps'). The use of any app at baseline was associated with 20% increased fecundability, with little difference between selected apps versus other apps (selected apps FR (95% CI): 1.20 (1.13, 1.28); all other apps 1.21 (1.13, 1.30)). In time-varying analyses, cycle app use was associated with 12-15% increased fecundability (selected apps FR (95% CI): 1.12 (1.04, 1.21); all other apps 1.15 (1.07, 1.24)). When apps were used at baseline with one or more fertility indicators, there was higher fecundability than without fertility indicators (selected apps with indicators FR (95% CI): 1.23 (1.14, 1.34) versus without indicators 1.17 (1.05, 1.30); other apps with indicators 1.30 (1.19, 1.43) versus without indicators 1.16 (1.06, 1.27)). In time-varying analyses, results were similar when stratified by time trying at study entry (<3 vs. 3-6 cycles) or cycle regularity. For use of the selected apps, we observed higher fecundability among women with a history of subfertility: FR 1.33 (1.05-1.67). LIMITATIONS, Neither regularity nor intensity of app use was ascertained. The prospective time-varying assessment of app use was based on questionnaires completed every 2 months, which would not capture more frequent changes. Intercourse frequency was also reported retrospectively and we do not have data on timing of intercourse relative to the fertile window. Although we controlled for a wide range of covariates, we cannot exclude the possibility of residual confounding (e.g. choosing to use an app in this observational study may be a marker for unmeasured health habits promoting fecundability). Half of the women in the study received a free premium subscription for one of the apps (Fertility Friend), which may have increased the overall prevalence of app use in the time-varying analyses, but would not affect app use at baseline. Most women in the study were college educated, which may limit application of results to other populations. Use of a cycle app, especially in combination with observation of one or more fertility indicators (basal body temperature, cervical fluid, cervix position and/or urine LH), may increase fecundability (per-cycle pregnancy probability) by about 12-20% for couples trying to conceive. We did not find consistent evidence of improved fecundability resulting from use of one specific app over another. STUDY FUNDING/COMPETING INTEREST(S): This research was supported by grants, R21HD072326 and R01HD086742, from the Eunice Kennedy Shriver National Institute of Child Health and Human Development, USA. In the last 3 years, Dr L.A.W. has served as a fibroid consultant for AbbVie.com. Dr L.A.W. has also received in-kind donations from Sandstone Diagnostics, Swiss Precision Diagnostics, FertilityFriend.com and Kindara.com for primary data collection and participant incentives in the PRESTO cohort. Dr J.B.S. reports personal fees from Swiss Precision Diagnostics, outside the submitted work. The remaining authors have nothing to declare. N/A.
Technology · Cycle Tracking Apps
The Performance of Fertility Awareness-based Method Apps Marketed to Avoid Pregnancy
Duane M et al., 2016 · J Am Board Fam Med · Free to read
In recent years there has been an explosion in the development of medical apps, with more than 40,000 apps now available. Nearly 100 apps allow women to track their fertility and menstrual cycles and can be used to avoid or achieve pregnancy. Apps offer a convenient way to track fertility biomarkers. However, only some use evidence-based fertility awareness-based methods (FABMs), which with ideal use have rates of effectiveness similar to those of commonly used forms of hormonal birth control. Since having a baby or preventing a pregnancy are important responsibilities, it is critical that women and couples have access to reliable, evidence-based apps that allow them to accurately track their fertility. We developed a tool to evaluate and rate fertility apps. This tool is specifically designed to help couples avoid pregnancy. Results showed that the majority of fertility apps are not based on evidence-based FABMs or include a disclaimer discouraging use for avoiding pregnancy. However, at least 1 app in each FABM category (except symptohormonal methods) had a perfect score on accuracy. Relying solely on an app to use an FABM, without appropriate training in the method, may not be sufficient to prevent pregnancy.
Birth and Delivery › Labor and Birth › Physiologic Birth
Alison Hock, Tracy Donegan, Luciana G Macedo, Stephanie Di Pelino, Sinéad Dufour
A Hock, T Donegan, L Macedo, S Pelino, S Dufour
PMID 42170056 42170056 DOI 10.1891/jpe-2023-0033 10.1891/jpe-2023-0033 Hock et al. 2026, Hock 2026