Araştırma Makalesi
Üreme Çağındaki Üniversite Öğrencilerinde Menstrual Siklus İzlemi ve Yönetiminde Mobil Uygulamaların Kullanımı ve Etkinliği
Öz
Amaç: Bu çalışmada, üreme çağındaki üniversite öğrencilerinde menstrual siklus izlemi ve yönetiminde mobil uygulamaların kullanımı ve etkinliğinin incelenmesi amaçlanmıştır.
Yöntem: Kesitsel tipteki bu araştırma, Ocak-Mart 2023 tarihleri arasında Trakya Üniversitesi Sağlık Bilimleri Fakültesi’nde eğitim gören n=502 üreme çağındaki kadın öğrenci üzerinde yürütüldü. Araştırma verileri araştırmacılar tarafından literatür incelenerek oluşturulan “Anket Formu” ile toplandı. Verilerin değerlendirilmesinde tanımlayıcı istatistik ve Ki-kare test analiz yöntemleri kullanıldı.
Bulgular: Öğrencilerinin yaş ortalaması 20.82±1.93 ve %66.3’ünün hemşirelik bölümünde okuduğu belirlenmiştir. Öğrencilerin %67.5’inin menstrual siklusu izleme ve yönetiminde mobil uygulama kullandığı, kullananların %88.5’inin menstrual siklusun takibini kolaylaştırdığı için kullandığı ve %62.8’inin mobil uygulamayı yararlı bulduğu bulunmuştur. Menstrual siklusu takip ve izlem için mobil uygulama kullanan öğrencilerin %59.9‘u fiziksel ve duygusal semptomları mobil uygulamada belirtirken, %57.2’si menstrual siklusu etkileyen faktörleri, %64.3’ünün menstrual siklusu semptomlarıyla baş etmede kullandığı yöntemleri mobil uygulamada kaydetmediği belirlenmiştir. Menstrual siklusu izleme ve yönetiminde mobil uygulama kullanan öğrencilerin kullanmayan öğrencilere göre daha fazla premenstrual sendromu ve menstrual siklusu bildiği ve takip ettiği, ovulasyon ve doğurganlık dönemlerinin farkında olduğu saptanmıştır (p <.05).
Sonuç: Çalışmada, mobil uygulama kullanan üreme çağındaki kadın üniversite öğrencilerin menstrual siklus ve ovulasyon farkındalığının daha yüksek olduğu belirlenmiştir.
Anahtar Kelimeler
Üreme çağı üniversite öğrencileri menstrual siklus ve ovulasyon mobil uygulama
Etik Beyan
Araştırmanın yürütülebilmesi için kurumdan yazılı izin ve Trakya Üniversitesi Girişimsel Olmayan Bilimsel Araştırmalar Etik Kurulu'ndan 2022/428 numaralı karar ile onay alınmıştır.
Kaynakça
- Akın, Ö., & Erbil, N. (2023). Investigation of coping behaviors and premenstrual syndrome among university students. Current Psychology, 1-11. https://doi.org/10.1007/s12144-023-04419-1
- Alhammadi, M. H., Albogmi, A. M., Alzahrani, M. K., Shalabi, B. H., Fatta, F. A., & AlBasri, S. F. (2022). Menstrual cycle irregularity during examination among female medical students at King Abdulaziz University, Jeddah, Saudi Arabia. BMC Women's Health, 22(1), 367. https://doi.org/10.1186/s12905-022-01952-2
- Al-Rshoud, F., Qudsi, A., Naffa, F. W., Al Omari, B., & AlFalah, A. G. (2021). The Use and Efficacy of Mobile Fertility-tracking Applications as a Method of Contraception: A Survey. Current Obstetrics and Gynecology Reports, 10(2), 25-29. https://doi.org/10.1007/s13669-021-00305-4
- Alvergne, A., Wheeler, M. V., & Tabor, V. H. (2018). Do sexually transmitted infections exacerbate negative premenstrual symptoms? Insights from digital health. Evolution, Medicine, and Public Health, 2018(1), 138–150. https://doi.org/10.1093/emph/eoy018
- Armour, M., Ferfolja, T., Curry, C., Hyman, M. S., Parry, K., Chalmers, K. J., Smith, C. A., MacMillan, F., & Holmes, K. (2020). The prevalence and educational impact of pelvic and menstrual pain in Australia: A national online survey of 4202 young women aged 13-25 years. Journal of Pediatric and Adolescent Gynecology, 33(5), 511–518. https://doi.org/10.1016/j.jpag.2020.06.007
- Avdic, D., & Johansson, P. (2017). Absenteeism, gender and the morbidity–mortality paradox. Journal of Applied Econometrics, 32(2), 440–462. https://doi.org/10.1002/jae.2516
- Bellizzi, S., Sobel, H. L., Obara, H., & Temmerman, M.. (2015). Underuse of modern methods of contraception: underlying causes and consequent undesired pregnancies in 35 low- and middle-income countries. Human Reproduction, 30, 973–986 . https://doi.org/10.1093/humrep/deu348
- Berglund Scherwitzl, E., Gemzell Danielsson, K., Sellberg, J. A., & Scherwitzl, R. (2016). Fertility awareness-based mobile application for contraception. The European Journal of Contraception & Reproductive Health Care, 21(3), 234–241. https://doi.org/10.3109/13625187.2016.1154143
- Berglund Scherwitzl, E., Lindén Hirschberg, A., & Scherwitzl, R. (2015). Identification and prediction of the fertile window using Natural Cycles. The European Journal of Contraception & Reproductive Health Care, 20(5), 403–408. https://doi.org/10.3109/13625187.2014.988210
- Berglund Scherwitzl, E., Lundberg, O., Koop Kallner, H., Gemzell Danielsson, K., Trussell, J., & et al. (2017). Perfect-use and typical-use Pearl Index of a contraceptive mobile app. Contraception, 96(6), 420-425. https://doi.org/10.1016/j.contraception.2017.08.014
- Bradley, D., Landau, E., Jesani, N., Mowry, B., Chui, K., Baron, A., & Wolfberg, A. (2021). Time to conception and the menstrual cycle: an observational study of fertility app users who conceived. Human Fertility, 24(4), 267-275. https://doi.org/10.1080/14647273.2019.1613680
- Costa Figueiredo, M., Huynh, T., Takei, A., Epstein, D. A., & Chen, Y. (2021). Goals, life events, and transitions: examining fertility apps for holistic health tracking. JAMIA Open, 4(1), 1–12. https://doi.org/10.1093/jamiaopen/ooab013
- Duane, M., Contreras, A., Jensen, E. T., & White, A. (2016). The performance of fertility awareness-based method apps marketed to avoid pregnancy. The Journal of the American Board of Family Medicine, 29(4), 508–511. https://doi.org/10.3122/jabfm.2016.04.160022
- Earle, S., Marston, H. R., Hadley, R., & Banks, D. (2021). Use of menstruation and fertility app trackers: a scoping review of the evidence. BMJ Sexual & Reproductive Health, 47(2), 90–101. http://dx.doi.org/10.1136/bmjsrh-2019-200488
- Epstein, D. A., Lee, N. B., Kang, J. H., Agapie, E., Schroeder, J., Pina, L. R., & et al. (2017). Examining menstrual tracking to inform the Design of Personal Informatics Tools. In: Proceedings of the SIGCHI conference on human factors in computing systems CHI Conference, vol. 2017; p. 6876–6888.
- Faul, F., Erdfelder, E., Lang, A., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175-191. https://link.springer.com/article/10.3758/BF03193146
- Ford, E.A., Roman, S.D., McLaughlin, E.A. Beckett, E. L., & Sutherland, J. M. (2020). The association between reproductive health smartphone applications and fertility knowledge of Australian women. BMC Women's Health, 20, 45.https://doi.org/10.1186/s12905-020-00912-y
- Freis, A., Freundl-Schütt, T., Wallwiener, L. M., Baur, S., Strowitzki, T., Freundl, G., & Frank-Herrmann, P. (2018). Plausibility of menstrual cycle apps claiming to support conception. Frontiers in Public Health, 6, 98. https://doi.org/10.3389/fpubh.2018.00098
- Handy, A. B., Greenfield, S. F., Yonkers, K. A., & Payne, L. A. (2022). Psychiatric symptoms across the menstrual cycle in adult women: A comprehensive review. Harvard Review of Psychiatry. 30(2), 100-118. https://doi.org/10.1097/HRP.0000000000000329
- Herrmann, M. A., & Rockoff, J. E. (2013). Do menstrual problems explain gender gaps in absenteeism and earnings?: Evidence from the national health interview survey. Labour Economics, 24, 12-22. https://doi.org/10.1016/j.labeco.2013.05.005
- Hough, A., & Bryce, M. (2019). Exaggerating contraceptive efficacy: the implications of the Advertising Standards Authority action against Natural Cycles. BMJ Sexual & Reproductive Health, 45(1), 71-72. http://dx.doi.org/10.1136/bmjsrh-2018-200209
- Ikbal, I., Nurdiana, L., Luckyardi, S., & Rafdhi, A. A. (2021). Development of menstrual multimedia learning applications and ıts ıssues for muslim women on mobile-based. Jurnal Teknologi Informasi dan Pendidikan, 14(2), 185-191. https://doi.org/10.24036/jtip.v14i2.449
- Joyce, K. M., Good, K. P., Tibbo, P., Brown, J., & Stewart, S. H. (2021). Addictive behaviors across the menstrual cycle: A systematic review. Archives of Women's Mental Health., 24(4), 529-542. https://doi.org/10.1007/s00737-020-01094-0
- Kalaycıoğlu, O., & Akhanlı, S. E. (2020). Sağlık araştırmalarında güç analizinin önemi ve temel prensipleri: Tıbbi çalışmalar üzerinde uygulamalı örnekler. Turkish Journal of Public Health, 18(1), 103-112. https://doi.org/10.20518/tjph.602400
- Kissow, J., Jacobsen, K. J., Gunnarsson, T. P., Jessen, S., & Hostrup, M. (2022). Effects of follicular and luteal phase-based menstrual cycle resistance training on muscle strength and mass. Sports Medicine, 52, 2813-2819. https://doi.org/10.1007/s40279-022-01679-y
- Krebs, P., & Duncan, D. T. (2015). Health app use among US mobile phone owners: a national survey. JMIR mHealth and uHealth, 3(4), e101. https://doi.org/10.2196/mhealth.4924
- Lutz, S., & Sivakumar, G. (2020). Leaking the secret: women’s attitudes toward menstruation and menstrual-tracker mobile apps. Gender, Technology and Development, 24(3), 362-377. https://doi.org/10.1080/09718524.2020.1786990
- Moglia, M. L., Nguyen, H. V., Chyjek, K., Chen, K. T., & Castaño, P. M. (2016). Evaluation of smartphone menstrual cycle tracking applications using an adapted applıcations scoring system. Obstetrics & Gynecology, 127(6), 1153-1160. https://doi.org/10.1097/AOG.0000000000001444
- Münster, K., Schmidt, L., & Helm, P. (1992). Length and variation in the menstrual cycle—a cross‐sectional study from a Danish county. BJOG: An International Journal of Obstetrics & Gynaecology, 99(5), 422-429. https://doi.org/10.1111/j.1471-0528.1992.tb13762.x
- Pierson, E., Althoff, T., & Leskovec, J. (2018). Modeling individual cyclic variation in human behavior. WWW '18: Proceedings of the 2018 World Wide Web Conference, 107-116. https://doi.org/10.1145/3178876.3186052
- Pierson, E., Althoff, T., Thomas, D., Hillard, P., & Leskovec, J. (2019). The menstrual cycle is a primary contributor to cyclic variation in women’s mood, behavior, and vital signs. BioRxiv, 583153. https://doi.org/10.1101/583153
- Pierson, E., Althoff, T., Thomas, D., Hillard, P., & Leskovec, J. (2021). Daily, weekly, seasonal and menstrual cycles in women’s mood, behaviour and vital signs. Nature Human Behaviour, 5(6), 716-725. https://doi.org/10.1038/s41562-020-01046-9
- Ponzo, S., Wickham, A., Bamford, R., Radovic, T., Zhaunova, L., Peven, K., & Payne, J. (2022). Menstrual cycle-associated symptoms and workplace productivity in US employees: a cross-sectional survey of users of the Flo mobile phone app. Digital Health, 8, 1-12. https://doi.org/10.1177/20552076221145852
- Rezende, A. P. R., Alvarenga, F. R., Ramos, M., Franken, D. L., Costa, J. S. D. D., Pattussi, M. P., & Paniz, V. M. V. (2022). Prevalence of premenstrual syndrome and associated factors among academics of a university in midwest Brazil. Revista Brasileira de Ginecologia e Obstetrícia, 44, 133-141. https://doi.org/10.1055/s-0041-1741456
- Schoep, M. E., Adang, E. M., Maas, J. W., De Bie, B., Aarts, J. W., & Nieboer, T. E. (2019). Productivity loss due to menstruation-related symptoms: a nationwide cross-sectional survey among 32 748 women. BMJ Open, 9(6), e026186. http://dx.doi.org/10.1136/bmjopen-2018-026186
- Shemtob, L., & Littlewood, R. (2018). Case in point: Natural Cycles Facebook advertisement withdrawn. BMJ Sexual & Reproductive Health, 44(4), 316-317. http://dx.doi.org/10.1136/bmjsrh-2018-200225
- Starling, M. S., Kandel, Z., Haile, L., & Simmons, R. G. (2018). User profile and preferences in fertility apps for preventing pregnancy: an exploratory pilot study. Mhealth, 4, 21. https://doi.org/10.21037/mhealth.2018.06.02
- Stawarz, K., Cox, A. L., & Blandford, A. (2014, April). Don't forget your pill! Designing effective medication reminder apps that support users' daily routines. In Proceedings of the CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2269–78. https://doi.org/10.1145/2556288.2557079
- Symul, L., Wac, K., Hillard, P., & Salathé, M. (2019). Assessment of menstrual health status and evolution through mobile apps for fertility awareness. NPJ Digital Medicine, 2(1), 1-10. https://doi.org/10.1038/s41746-019-0139-4
- Wharton, W., Gleason, C. E., Sandra, O., Carlsson, C. M., & Asthana, S. (2012). Neurobiological underpinnings of the estrogen-mood relationship. Current Psychiatry Reviews, 8(3), 247-256. https://doi.org/10.2174/157340012800792957
- Zvarikova, K., Machova, V., & Pera, A. (2022). Menstrual cycle tracking apps, fertility and reproductive data, and mobile health care management. Journal of Research in Gender Studies, 12(1), 84-98. https://www.ceeol.com/search/article-detail?id=1066654
The Use and Efficiency of Mobile Applications in the Monitoring and Management of Menstrual Cycle in University Students in Reproductive Age
Öz
Aim: In this study, it was aimed to examine the use and effectiveness of mobile applications in the monitoring and management of menstrual cycle in university students of reproductive age.
Method: This cross-sectional study was conducted on 502 female reproductive age students studying at Trakya University Faculty of Health Sciences between January and March 2023. The research data were collected with the "Survey Form" created by the researchers by examining the literature. Descriptive statistics and Chi-square test analysis methods were used in the evaluation of the data.
Results: It was determined that the mean age of reproductive age female university students was 20.82±1.93, and 66.3% of them were studying in the nursing department. 67.5% of the students use mobile application in monitoring and management of the menstrual cycle, 88.5% of the mobile application users use it because it facilitates the follow-up of the menstrual cycle, 62.8% find the mobile application useful and 55.3% use the mobile application. While 59.9% of the students using mobile application for tracking and monitoring the menstrual cycle stated physical and emotional symptoms in the mobile application, 57.2% did not record the factors affecting the menstrual cycle and 64.3% did not record the methods they used to cope with menstrual cycle symptoms in the mobile application. determined. It was determined that students who use mobile applications in monitoring and management of menstrual cycle know and follow more premenstrual syndrome and menstrual cycle and are aware of ovulation and fertility periods than students who do not use it (p <.05).
Conclusion: In the study, it was determined that female university students of reproductive age who use mobile applications have higher awareness of menstrual cycle and ovulation.
Anahtar Kelimeler
Reproductive age university students menstrual cycle and ovulation mobile application
Kaynakça
- Akın, Ö., & Erbil, N. (2023). Investigation of coping behaviors and premenstrual syndrome among university students. Current Psychology, 1-11. https://doi.org/10.1007/s12144-023-04419-1
- Alhammadi, M. H., Albogmi, A. M., Alzahrani, M. K., Shalabi, B. H., Fatta, F. A., & AlBasri, S. F. (2022). Menstrual cycle irregularity during examination among female medical students at King Abdulaziz University, Jeddah, Saudi Arabia. BMC Women's Health, 22(1), 367. https://doi.org/10.1186/s12905-022-01952-2
- Al-Rshoud, F., Qudsi, A., Naffa, F. W., Al Omari, B., & AlFalah, A. G. (2021). The Use and Efficacy of Mobile Fertility-tracking Applications as a Method of Contraception: A Survey. Current Obstetrics and Gynecology Reports, 10(2), 25-29. https://doi.org/10.1007/s13669-021-00305-4
- Alvergne, A., Wheeler, M. V., & Tabor, V. H. (2018). Do sexually transmitted infections exacerbate negative premenstrual symptoms? Insights from digital health. Evolution, Medicine, and Public Health, 2018(1), 138–150. https://doi.org/10.1093/emph/eoy018
- Armour, M., Ferfolja, T., Curry, C., Hyman, M. S., Parry, K., Chalmers, K. J., Smith, C. A., MacMillan, F., & Holmes, K. (2020). The prevalence and educational impact of pelvic and menstrual pain in Australia: A national online survey of 4202 young women aged 13-25 years. Journal of Pediatric and Adolescent Gynecology, 33(5), 511–518. https://doi.org/10.1016/j.jpag.2020.06.007
- Avdic, D., & Johansson, P. (2017). Absenteeism, gender and the morbidity–mortality paradox. Journal of Applied Econometrics, 32(2), 440–462. https://doi.org/10.1002/jae.2516
- Bellizzi, S., Sobel, H. L., Obara, H., & Temmerman, M.. (2015). Underuse of modern methods of contraception: underlying causes and consequent undesired pregnancies in 35 low- and middle-income countries. Human Reproduction, 30, 973–986 . https://doi.org/10.1093/humrep/deu348
- Berglund Scherwitzl, E., Gemzell Danielsson, K., Sellberg, J. A., & Scherwitzl, R. (2016). Fertility awareness-based mobile application for contraception. The European Journal of Contraception & Reproductive Health Care, 21(3), 234–241. https://doi.org/10.3109/13625187.2016.1154143
- Berglund Scherwitzl, E., Lindén Hirschberg, A., & Scherwitzl, R. (2015). Identification and prediction of the fertile window using Natural Cycles. The European Journal of Contraception & Reproductive Health Care, 20(5), 403–408. https://doi.org/10.3109/13625187.2014.988210
- Berglund Scherwitzl, E., Lundberg, O., Koop Kallner, H., Gemzell Danielsson, K., Trussell, J., & et al. (2017). Perfect-use and typical-use Pearl Index of a contraceptive mobile app. Contraception, 96(6), 420-425. https://doi.org/10.1016/j.contraception.2017.08.014
- Bradley, D., Landau, E., Jesani, N., Mowry, B., Chui, K., Baron, A., & Wolfberg, A. (2021). Time to conception and the menstrual cycle: an observational study of fertility app users who conceived. Human Fertility, 24(4), 267-275. https://doi.org/10.1080/14647273.2019.1613680
- Costa Figueiredo, M., Huynh, T., Takei, A., Epstein, D. A., & Chen, Y. (2021). Goals, life events, and transitions: examining fertility apps for holistic health tracking. JAMIA Open, 4(1), 1–12. https://doi.org/10.1093/jamiaopen/ooab013
- Duane, M., Contreras, A., Jensen, E. T., & White, A. (2016). The performance of fertility awareness-based method apps marketed to avoid pregnancy. The Journal of the American Board of Family Medicine, 29(4), 508–511. https://doi.org/10.3122/jabfm.2016.04.160022
- Earle, S., Marston, H. R., Hadley, R., & Banks, D. (2021). Use of menstruation and fertility app trackers: a scoping review of the evidence. BMJ Sexual & Reproductive Health, 47(2), 90–101. http://dx.doi.org/10.1136/bmjsrh-2019-200488
- Epstein, D. A., Lee, N. B., Kang, J. H., Agapie, E., Schroeder, J., Pina, L. R., & et al. (2017). Examining menstrual tracking to inform the Design of Personal Informatics Tools. In: Proceedings of the SIGCHI conference on human factors in computing systems CHI Conference, vol. 2017; p. 6876–6888.
- Faul, F., Erdfelder, E., Lang, A., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175-191. https://link.springer.com/article/10.3758/BF03193146
- Ford, E.A., Roman, S.D., McLaughlin, E.A. Beckett, E. L., & Sutherland, J. M. (2020). The association between reproductive health smartphone applications and fertility knowledge of Australian women. BMC Women's Health, 20, 45.https://doi.org/10.1186/s12905-020-00912-y
- Freis, A., Freundl-Schütt, T., Wallwiener, L. M., Baur, S., Strowitzki, T., Freundl, G., & Frank-Herrmann, P. (2018). Plausibility of menstrual cycle apps claiming to support conception. Frontiers in Public Health, 6, 98. https://doi.org/10.3389/fpubh.2018.00098
- Handy, A. B., Greenfield, S. F., Yonkers, K. A., & Payne, L. A. (2022). Psychiatric symptoms across the menstrual cycle in adult women: A comprehensive review. Harvard Review of Psychiatry. 30(2), 100-118. https://doi.org/10.1097/HRP.0000000000000329
- Herrmann, M. A., & Rockoff, J. E. (2013). Do menstrual problems explain gender gaps in absenteeism and earnings?: Evidence from the national health interview survey. Labour Economics, 24, 12-22. https://doi.org/10.1016/j.labeco.2013.05.005
- Hough, A., & Bryce, M. (2019). Exaggerating contraceptive efficacy: the implications of the Advertising Standards Authority action against Natural Cycles. BMJ Sexual & Reproductive Health, 45(1), 71-72. http://dx.doi.org/10.1136/bmjsrh-2018-200209
- Ikbal, I., Nurdiana, L., Luckyardi, S., & Rafdhi, A. A. (2021). Development of menstrual multimedia learning applications and ıts ıssues for muslim women on mobile-based. Jurnal Teknologi Informasi dan Pendidikan, 14(2), 185-191. https://doi.org/10.24036/jtip.v14i2.449
- Joyce, K. M., Good, K. P., Tibbo, P., Brown, J., & Stewart, S. H. (2021). Addictive behaviors across the menstrual cycle: A systematic review. Archives of Women's Mental Health., 24(4), 529-542. https://doi.org/10.1007/s00737-020-01094-0
- Kalaycıoğlu, O., & Akhanlı, S. E. (2020). Sağlık araştırmalarında güç analizinin önemi ve temel prensipleri: Tıbbi çalışmalar üzerinde uygulamalı örnekler. Turkish Journal of Public Health, 18(1), 103-112. https://doi.org/10.20518/tjph.602400
- Kissow, J., Jacobsen, K. J., Gunnarsson, T. P., Jessen, S., & Hostrup, M. (2022). Effects of follicular and luteal phase-based menstrual cycle resistance training on muscle strength and mass. Sports Medicine, 52, 2813-2819. https://doi.org/10.1007/s40279-022-01679-y
- Krebs, P., & Duncan, D. T. (2015). Health app use among US mobile phone owners: a national survey. JMIR mHealth and uHealth, 3(4), e101. https://doi.org/10.2196/mhealth.4924
- Lutz, S., & Sivakumar, G. (2020). Leaking the secret: women’s attitudes toward menstruation and menstrual-tracker mobile apps. Gender, Technology and Development, 24(3), 362-377. https://doi.org/10.1080/09718524.2020.1786990
- Moglia, M. L., Nguyen, H. V., Chyjek, K., Chen, K. T., & Castaño, P. M. (2016). Evaluation of smartphone menstrual cycle tracking applications using an adapted applıcations scoring system. Obstetrics & Gynecology, 127(6), 1153-1160. https://doi.org/10.1097/AOG.0000000000001444
- Münster, K., Schmidt, L., & Helm, P. (1992). Length and variation in the menstrual cycle—a cross‐sectional study from a Danish county. BJOG: An International Journal of Obstetrics & Gynaecology, 99(5), 422-429. https://doi.org/10.1111/j.1471-0528.1992.tb13762.x
- Pierson, E., Althoff, T., & Leskovec, J. (2018). Modeling individual cyclic variation in human behavior. WWW '18: Proceedings of the 2018 World Wide Web Conference, 107-116. https://doi.org/10.1145/3178876.3186052
- Pierson, E., Althoff, T., Thomas, D., Hillard, P., & Leskovec, J. (2019). The menstrual cycle is a primary contributor to cyclic variation in women’s mood, behavior, and vital signs. BioRxiv, 583153. https://doi.org/10.1101/583153
- Pierson, E., Althoff, T., Thomas, D., Hillard, P., & Leskovec, J. (2021). Daily, weekly, seasonal and menstrual cycles in women’s mood, behaviour and vital signs. Nature Human Behaviour, 5(6), 716-725. https://doi.org/10.1038/s41562-020-01046-9
- Ponzo, S., Wickham, A., Bamford, R., Radovic, T., Zhaunova, L., Peven, K., & Payne, J. (2022). Menstrual cycle-associated symptoms and workplace productivity in US employees: a cross-sectional survey of users of the Flo mobile phone app. Digital Health, 8, 1-12. https://doi.org/10.1177/20552076221145852
- Rezende, A. P. R., Alvarenga, F. R., Ramos, M., Franken, D. L., Costa, J. S. D. D., Pattussi, M. P., & Paniz, V. M. V. (2022). Prevalence of premenstrual syndrome and associated factors among academics of a university in midwest Brazil. Revista Brasileira de Ginecologia e Obstetrícia, 44, 133-141. https://doi.org/10.1055/s-0041-1741456
- Schoep, M. E., Adang, E. M., Maas, J. W., De Bie, B., Aarts, J. W., & Nieboer, T. E. (2019). Productivity loss due to menstruation-related symptoms: a nationwide cross-sectional survey among 32 748 women. BMJ Open, 9(6), e026186. http://dx.doi.org/10.1136/bmjopen-2018-026186
- Shemtob, L., & Littlewood, R. (2018). Case in point: Natural Cycles Facebook advertisement withdrawn. BMJ Sexual & Reproductive Health, 44(4), 316-317. http://dx.doi.org/10.1136/bmjsrh-2018-200225
- Starling, M. S., Kandel, Z., Haile, L., & Simmons, R. G. (2018). User profile and preferences in fertility apps for preventing pregnancy: an exploratory pilot study. Mhealth, 4, 21. https://doi.org/10.21037/mhealth.2018.06.02
- Stawarz, K., Cox, A. L., & Blandford, A. (2014, April). Don't forget your pill! Designing effective medication reminder apps that support users' daily routines. In Proceedings of the CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2269–78. https://doi.org/10.1145/2556288.2557079
- Symul, L., Wac, K., Hillard, P., & Salathé, M. (2019). Assessment of menstrual health status and evolution through mobile apps for fertility awareness. NPJ Digital Medicine, 2(1), 1-10. https://doi.org/10.1038/s41746-019-0139-4
- Wharton, W., Gleason, C. E., Sandra, O., Carlsson, C. M., & Asthana, S. (2012). Neurobiological underpinnings of the estrogen-mood relationship. Current Psychiatry Reviews, 8(3), 247-256. https://doi.org/10.2174/157340012800792957
- Zvarikova, K., Machova, V., & Pera, A. (2022). Menstrual cycle tracking apps, fertility and reproductive data, and mobile health care management. Journal of Research in Gender Studies, 12(1), 84-98. https://www.ceeol.com/search/article-detail?id=1066654
Toplam 41 adet kaynakça vardır.
Ayrıntılar
| Birincil Dil | Türkçe |
|---|---|
| Konular | Doğum ve Kadın Hastalıkları Hemşireliği |
| Bölüm | Özgün Araştırma |
| Yazarlar | |
| Yayımlanma Tarihi | 28 Nisan 2025 |
| Gönderilme Tarihi | 16 Kasım 2023 |
| Kabul Tarihi | 10 Eylül 2024 |
| Yayımlandığı Sayı | Yıl 2025 Cilt: 41 Sayı: 1 |
