209 related articles for article (PubMed ID: 31341953)
1. Assessment of menstrual health status and evolution through mobile apps for fertility awareness.
Symul L; Wac K; Hillard P; Salathé M
NPJ Digit Med; 2019; 2():64. PubMed ID: 31341953
[TBL] [Abstract][Full Text] [Related]
2. Characteristics of menstrual cycles with or without intercourse in women with no known subfertility.
Najmabadi S; Schliep KC; Simonsen SE; Porucznik CA; Egger MJ; Stanford JB
Hum Reprod Open; 2022; 2022(4):hoac039. PubMed ID: 36186844
[TBL] [Abstract][Full Text] [Related]
3. Relationship Between the Menstrual Cycle and Timing of Ovulation Revealed by New Protocols: Analysis of Data from a Self-Tracking Health App.
Sohda S; Suzuki K; Igari I
J Med Internet Res; 2017 Nov; 19(11):e391. PubMed ID: 29180346
[TBL] [Abstract][Full Text] [Related]
4. Fecundability in relation to use of mobile computing apps to track the menstrual cycle.
Stanford JB; Willis SK; Hatch EE; Rothman KJ; Wise LA
Hum Reprod; 2020 Oct; 35(10):2245-2252. PubMed ID: 32910202
[TBL] [Abstract][Full Text] [Related]
5. Evaluation of Menstrual Cycle Tracking Behaviors in the Ovulation and Menstruation Health Pilot Study: Cross-Sectional Study.
Adnan T; Li H; Peer K; Peebles E; James K; Mahalingaiah S
J Med Internet Res; 2023 Oct; 25():e42164. PubMed ID: 37889545
[TBL] [Abstract][Full Text] [Related]
6. Menstrual Cycle Length and Patterns in a Global Cohort of Women Using a Mobile Phone App: Retrospective Cohort Study.
Grieger JA; Norman RJ
J Med Internet Res; 2020 Jun; 22(6):e17109. PubMed ID: 32442161
[TBL] [Abstract][Full Text] [Related]
7. Characterization of Self-reported Improvements in Knowledge and Health Among Users of Flo Period Tracking App: Cross-sectional Survey.
Zhaunova L; Bamford R; Radovic T; Wickham A; Peven K; Croft J; Klepchukova A; Ponzo S
JMIR Mhealth Uhealth; 2023 Apr; 11():e40427. PubMed ID: 37099370
[TBL] [Abstract][Full Text] [Related]
8. A predictive model for next cycle start date that accounts for adherence in menstrual self-tracking.
Li K; Urteaga I; Shea A; Vitzthum VJ; Wiggins CH; Elhadad N
J Am Med Inform Assoc; 2021 Dec; 29(1):3-11. PubMed ID: 34534312
[TBL] [Abstract][Full Text] [Related]
9. A Critical Appraisal of Fertility and Menstrual Tracking Apps for the iPhone.
Zwingerman R; Chaikof M; Jones C
J Obstet Gynaecol Can; 2020 May; 42(5):583-590. PubMed ID: 31882289
[TBL] [Abstract][Full Text] [Related]
10. Menstrual Tracking Mobile App Review by Consumers and Health Care Providers: Quality Evaluations Study.
Ko S; Lee J; An D; Woo H
JMIR Mhealth Uhealth; 2023 Mar; 11():e40921. PubMed ID: 36857125
[TBL] [Abstract][Full Text] [Related]
11. Survey Analysis of Quantitative and Qualitative Menstrual Cycle Tracking Technologies.
Stujenske TM; Mu Q; Pérez Capotosto M; Bouchard TP
Medicina (Kaunas); 2023 Aug; 59(9):. PubMed ID: 37763628
[No Abstract] [Full Text] [Related]
12. Findings from a mobile application-based cohort are consistent with established knowledge of the menstrual cycle, fertile window, and conception.
Faust L; Bradley D; Landau E; Noddin K; Farland LV; Baron A; Wolfberg A
Fertil Steril; 2019 Sep; 112(3):450-457.e3. PubMed ID: 31272722
[TBL] [Abstract][Full Text] [Related]
13. Real-life insights on menstrual cycles and ovulation using big data.
Soumpasis I; Grace B; Johnson S
Hum Reprod Open; 2020; 2020(2):hoaa011. PubMed ID: 32328534
[TBL] [Abstract][Full Text] [Related]
14. Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile-health data.
Li K; Urteaga I; Wiggins CH; Druet A; Shea A; Vitzthum VJ; Elhadad N
NPJ Digit Med; 2020; 3():79. PubMed ID: 32509976
[TBL] [Abstract][Full Text] [Related]
15. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
16. Innovative Approaches to Menstruation and Fertility Tracking Using Wearable Reproductive Health Technology: Systematic Review.
Lyzwinski L; Elgendi M; Menon C
J Med Internet Res; 2024 Feb; 26():e45139. PubMed ID: 38358798
[TBL] [Abstract][Full Text] [Related]
17. Assessing the Efficacy of an App-Based Method of Family Planning: The Dot Study Protocol.
Simmons RG; Shattuck DC; Jennings VH
JMIR Res Protoc; 2017 Jan; 6(1):e5. PubMed ID: 28100441
[TBL] [Abstract][Full Text] [Related]
18. Factors Used by Mobile Applications to Predict Female Fertility Status and Their Reported Effectiveness: A Scoping Review.
Saugar EE; Katsoulos S; Kim HS; Fakharzadeh N; Schaffer J; Ahmad M; Zeher C; Benedict M; Gupta S; Foster-Moumoutjis G
Cureus; 2023 Nov; 15(11):e48847. PubMed ID: 38106802
[TBL] [Abstract][Full Text] [Related]
19. User profile and preferences in fertility apps for preventing pregnancy: an exploratory pilot study.
Starling MS; Kandel Z; Haile L; Simmons RG
Mhealth; 2018; 4():21. PubMed ID: 30050917
[TBL] [Abstract][Full Text] [Related]
20. Using Hormone Data and Age to Pinpoint Cycle Day within the Menstrual Cycle.
Hills E; Woodland MB; Divaraniya A
Medicina (Kaunas); 2023 Jul; 59(7):. PubMed ID: 37512159
[No Abstract] [Full Text] [Related]
[Next] [New Search]
