In:
Obstetrics & Gynecology, Ovid Technologies (Wolters Kluwer Health), Vol. 133, No. 5 ( 2019-05), p. S162-S223
Abstract:
The Natural Cycles digital fertility awareness-based method of contraception computes a daily fertility status based on dates of menstruation and basal body temperature (BBT) measurements. Every morning, the user measures her BBT upon waking, before getting out of bed. This study aims to further understand the impact of sleeping habits on the effectiveness of the app for pregnancy prevention. METHODS: A questionnaire addressing sleeping habits was sent out to users through an in-app message. The response rate was 45.2%, resulting in 39,244 women being included in the analysis. The sample was divided into cohorts based on the selected questionnaire answer. For each cohort, the contraceptive effectiveness was calculated as a one year typical-use Pearl Index (PI). (EPN, Stockholm, diary number 2017/563-31). RESULTS: Most users reported that they wake up at the same time during work days (52%). Other answers were; wake up several times during the night (16%), wake same time every day (14%), shift work (12%), and sleep in or snooze (6%). The PI of all respondents was 4.9 (SD±0.1), sensitivity analysis showed that if those who did not respond were included, the PI was significantly higher (PI 6.6±0.1). Sub-cohort analysis showed that those reporting “sleep late/snooze” had the lowest PI (3.7±0.4). CONCLUSION: In this study, the fertility awareness-based method app had a typical-use PI between 3.7 and 6.1, depending on self-reported sleeping habits. Respondents had a lower PI than those who did not respond, suggesting that other factors such as behavior and compliance influence the effectiveness outcome.
Type of Medium:
Online Resource
ISSN:
0029-7844
DOI:
10.1097/01.AOG.0000558862.85859.5c
Language:
English
Publisher:
Ovid Technologies (Wolters Kluwer Health)
Publication Date:
2019
detail.hit.zdb_id:
2012791-1
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