Published on in Vol 19, No 11 (2017): November

Relationship Between the Menstrual Cycle and Timing of Ovulation Revealed by New Protocols: Analysis of Data from a Self-Tracking Health App

Relationship Between the Menstrual Cycle and Timing of Ovulation Revealed by New Protocols: Analysis of Data from a Self-Tracking Health App

Relationship Between the Menstrual Cycle and Timing of Ovulation Revealed by New Protocols: Analysis of Data from a Self-Tracking Health App

Authors of this article:

Satoshi Sohda1 Author Orcid Image ;   Kenta Suzuki2, 3 Author Orcid Image ;   Ichiro Igari3 Author Orcid Image

Journals

  1. Bull J, Rowland S, Scherwitzl E, Scherwitzl R, Danielsson K, Harper J. Real-world menstrual cycle characteristics of more than 600,000 menstrual cycles. npj Digital Medicine 2019;2(1) View
  2. Goodale B, Shilaih M, Falco L, Dammeier F, Hamvas G, Leeners B. Wearable Sensors Reveal Menses-Driven Changes in Physiology and Enable Prediction of the Fertile Window: Observational Study. Journal of Medical Internet Research 2019;21(4):e13404 View
  3. Karasneh R, Al-Azzam S, Alzoubi K, Muflih S, Hawamdeh S. Smartphone Applications for Period Tracking: Rating and Behavioral Change among Women Users. Obstetrics and Gynecology International 2020;2020:1 View
  4. Levy J, Romo-Avilés N. “A good little tool to get to know yourself a bit better”: a qualitative study on users’ experiences of app-supported menstrual tracking in Europe. BMC Public Health 2019;19(1) View
  5. Simmons R, Jennings V. Fertility awareness-based methods of family planning. Best Practice & Research Clinical Obstetrics & Gynaecology 2020;66:68 View
  6. Tatsumi T, Sampei M, Saito K, Honda Y, Okazaki Y, Arata N, Narumi K, Morisaki N, Ishikawa T, Narumi S. Age-Dependent and Seasonal Changes in Menstrual Cycle Length and Body Temperature Based on Big Data. Obstetrics & Gynecology 2020;136(4):666 View
  7. Sarker B, Rahman M, Rahman T, Rahman T, Rahman F, Khalil J, Hasan M, Mahfuz S, Ahmmed F, Miah M, Ahmed A, Mitra D, Mridha M, Rahman A. Factors associated with calendar literacy and last menstrual period (LMP) recall: a prospective programmatic implication to maternal health in Bangladesh. BMJ Open 2020;10(12):e036994 View
  8. Schantz J, Fernandez C, Jukic A. Menstrual Cycle Tracking Applications and the Potential for Epidemiological Research: a Comprehensive Review of the Literature. Current Epidemiology Reports 2021;8(1):9 View
  9. Luoto S, Krama T, Rubika A, Borráz-León J, Trakimas G, Elferts D, Skrinda I, Krams R, Moore F, Birbele E, Kaminska I, Contreras-Garduño J, Rantala M, Krams I. Socioeconomic position, immune function, and its physiological markers. Psychoneuroendocrinology 2021;127:105202 View
  10. Ford E, Peters A, Roman S, McLaughlin E, Beckett E, Sutherland J. A scoping review of the information provided by fertility smartphone applications. Human Fertility 2022;25(4):625 View
  11. Komada Y, Sato M, Ikeda Y, Kami A, Masuda C, Shibata S. The Relationship between the Lunar Phase, Menstrual Cycle Onset and Subjective Sleep Quality among Women of Reproductive Age. International Journal of Environmental Research and Public Health 2021;18(6):3245 View
  12. Gonçalves A, Prado D, Silva L. Frequency and experience in the use of menstrual cycle monitoring applications by Brazilian women. The European Journal of Contraception & Reproductive Health Care 2021;26(4):291 View
  13. Earle S, Marston H, Hadley R, Banks D. Use of menstruation and fertility app trackers: a scoping review of the evidence. BMJ Sexual & Reproductive Health 2021;47(2):90 View
  14. Whitman S, Pine K, Thorsteinsdottir B, Organick-Lee P, Thota A, Espinoza Suarez N, Johnston E, Boehmer K. Bodily Experiences of Illness and Treatment as Information Work: The Case of Chronic Kidney Disease. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW2):1 View
  15. Yokomizo R, Nakamura A, Sato M, Nasu R, Hine M, Urayama K, Kishi H, Sago H, Okamoto A, Umezawa A. Smartphone application improves fertility treatment-related literacy in a large-scale virtual randomized controlled trial in Japan. npj Digital Medicine 2021;4(1) View
  16. Sasaki N, Akiyama H, Kawakami N, Nishi D. Preconception menstrual cycle disorder and antenatal depression: a cross-sectional study with prerecorded information. Journal of Psychosomatic Obstetrics & Gynecology 2022;43(4):411 View
  17. Prado R. Comment on “Challenging Aspects of Research on the Influence of the Menstrual Cycle and Oral Contraceptives on Physical Performance”. Sports Medicine 2023;53(4):927 View
  18. Hamidovic A, Dang N, Khalil D, Sun J. Association between Neuroticism and Premenstrual Affective/Psychological Symptomatology. Psychiatry International 2022;3(1):52 View
  19. Polak K, Nora P, Perry B, Martin C, Dillon P, Thacker L, Nance S, Kornstein S, Svikis D. Licit Substance Use and Premenstrual Syndrome Symptom Severity in Female College Students. Women's Health Reports 2022;3(1):443 View
  20. Dang N, Khalil D, Sun J, Naveed A, Soumare F, Hamidovic A. Waist Circumference and Its Association With Premenstrual Food Craving: The PHASE Longitudinal Study. Frontiers in Psychiatry 2022;13 View
  21. Hamidovic A, Soumare F, Naveed A, Davis J. Mid-Luteal Progesterone Is Inversely Associated with Premenstrual Food Cravings. Nutrients 2023;15(5):1097 View
  22. Hamidovic A, Davis J, Soumare F, Naveed A, Ghani Y, Semiz S, Khalil D, Wardle M. Allopregnanolone Is Associated with a Stress-Induced Reduction of Heart Rate Variability in Premenstrual Dysphoric Disorder. Journal of Clinical Medicine 2023;12(4):1553 View
  23. Dang N, Khalil D, Sun J, Naveed A, Soumare F, Nusslock R, Hamidovic A. Behavioral Symptomatology in the Premenstruum. Brain Sciences 2022;12(7):814 View
  24. Hamidovic A, Davis J, Soumare F, Datta A, Naveed A. Trajectories of Allopregnanolone and Allopregnanolone to Progesterone Ratio across the Six Subphases of Menstrual Cycle. Biomolecules 2023;13(4):652 View
  25. Muehlmann M, Tomczyk S. Mobile Apps for Sexual and Reproductive Health Education: a Systematic Review and Quality Assessment. Current Sexual Health Reports 2023;15(2):77 View
  26. Li H, Gibson E, Jukic A, Baird D, Wilcox A, Curry C, Fischer-Colbrie T, Onnela J, Williams M, Hauser R, Coull B, Mahalingaiah S. Menstrual cycle length variation by demographic characteristics from the Apple Women’s Health Study. npj Digital Medicine 2023;6(1) View
  27. Mitake S, Wada‐Hiraike O, Kashiwabara K, Nakamura A, Nasu R, Hine M, Matsuyama Y, Fujii T, Osuga Y. Distribution of the follicular and luteal phase lengths and their age‐dependent changes in Japanese women: A large population study. Reproductive Medicine and Biology 2023;22(1) View
  28. Namie T, Kotaka T, Watanabe K, Takasu N, Nakamura W, Nakamura T. Menstrual variations of sleep–wake rhythms in healthy women. Sleep and Biological Rhythms 2024 View
  29. Mansouri S. Development of a Permanent Device for Fertility Period Detection by Basal Body Temperature and Analysis of the Cervical Mucus Potential of Hydrogen. Journal of Medical Signals & Sensors 2021;11(2):92 View

Books/Policy Documents

  1. Fedorowicz J, Sosnowski Ł, Ślęzak D, Szymusik I, Chaber W, Miłobędzki Ł, Penza T, Sosnowska J, Wójcicka K, Zaleski K. Rough Sets. View
  2. Raith-Paula E, Frank-Herrmann P. Natürliche Familienplanung heute. View
  3. Santos-Gago J, Álvarez-Sabucedo L, González-Maciel R, Alonso-Rorís V, García-Soidán J, Wanden-Berghe C, Sanz-Valero J. New Knowledge in Information Systems and Technologies. View
  4. . Household Self-Tracking during a Global Health Crisis. View