The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Period Prevalence and Perceived Side Effects of Hormonal Contraceptive Use and the Menstrual Cycle in Elite Athletes
Open accessAbstract
Purpose:To identify the period prevalence of hormonal contraceptive (HC) use and characterize the perceived side effects associated with the menstrual cycle and HC use.Methods:A total of 430 elite female athletes completed a questionnaire to assess the period prevalence of HC use, the reasons for initiation and discontinuation of HCs, and the side effects experienced by HC and non-HC users. Descriptive statistics, between-groups comparisons, and associations between categorical variables were calculated.Results:Of athletes studied, 49.5% were currently using HCs and 69.8% had used HCs at some point. Combined oral contraceptives were most commonly used (68.1%), with 30.0% using progestin-only contraceptives (implant = 13.1%, injection = 3.7%, and intrauterine system = 2.8%). Perceived negative side effects were more common with progestin-only HC use (39.1%) compared with combined-HC use (17.8%;P = .001) and were most prevalent in implant users (53.6%;P = .004). HC users reported perceived positive side effects relating to their ability to predict and/or manipulate the timing, frequency, and amount of menstrual bleeding. Non-HC users had a menstrual cycle length of 29 (5) d and 77.4% reported negative side effects during their menstrual cycle, primarily during days 1–2 of menstruation (81.6%).Conclusions:Approximately half of elite athletes used HCs, and progestin-only contraceptive users reported greater incidences of negative side effects, especially with the implant. Because of the high interindividual variability in reported side effects, athletes and practitioners should maintain an open dialogue to pursue the best interests of the athlete.
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1 retracted
Brown, J., & Brown, S. (2010) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd004142.pub2 · Cited by 82
RetractedExperimental Design and Data Analysis for Biologists
Quinn, G. P., & Keough, M. J. (2002) · doi:10.1017/cbo9780511806384 · Cited by 10,674
Mountjoy, M., Sundgot-Borgen, J., Burke, L., Carter, S., Constantini, N., Lebrun, C., Meyer, N., Sherman, R., Steffen, K., Budgett, R., et al. (2014) · British Journal of Sports Medicine · doi:10.1136/bjsports-2014-093502 · Cited by 1,469
Godsland, I. F., Crook, D., Simpson, R., Proudler, T., Felton, C., Lees, B., Anyaoku, V., Devenport, M., & Wynn, V. (1990) · New England Journal of Medicine · doi:10.1056/nejm199011153232003 · Cited by 417
Stricker, R., Eberhart, R., Chevailler, M.-C., Quinn, F. A., Bischof, P., & Stricker, R. (2006) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm.2006.160 · Cited by 392
Cited by
Sims, S. T., & Heather, A. K. (2018) · Experimental Physiology · doi:10.1113/ep086797 · Cited by 211
Bruinvels, G., Goldsmith, E., Blagrove, R., Simpkin, A., Lewis, N., Morton, K., Suppiah, A., Rogers, J. P., Ackerman, K. E., Newell, J., et al. (2021) · British Journal of Sports Medicine · doi:10.1136/bjsports-2020-102792 · Cited by 173
Smith, E. S., McKay, A. K. A., Kuikman, M., Ackerman, K. E., Harris, R., Elliott-Sale, K. J., Stellingwerff, T., & Burke, L. M. (2022) · Nutrients · doi:10.3390/nu14050953 · Cited by 113
“The 50% of the female athlete population utilising HC [43] are represented in a very small number of studies and there is almost a complete absence of research in women with menstrual irregularities (three studies), despite an estimated prevalence of menstrual disorders in athletic populations of 13–60% [44–46].”
BackgroundSelf-citationNutrition for Special Populations: Young, Female, and Masters Athletes
Desbrow, B., Burd, N. A., Tarnopolsky, M., Moore, D. R., & Elliott-Sale, K. J. (2019) · International Journal of Sport Nutrition and Exercise Metabolism · doi:10.1123/ijsnem.2018-0269 · Cited by 100
Self-citationRogers, M. A., Appaneal, R. N., Hughes, D., Vlahovich, N., Waddington, G., Burke, L. M., & Drew, M. (2021) · British Journal of Sports Medicine · doi:10.1136/bjsports-2019-101517 · Cited by 89
Metadata
- Authors
- Martin, D., Sale, C., Cooper, S. B., & Elliott-Sale, K. J.
- Venue
- International Journal of Sports Physiology and Performance
- Publisher
- Human Kinetics
- Published
- 2018-08-01
- Volume
- 13
- Issue
- 7
- Pages
- 926-932
- ISSN
- 1555-0265 (ISSN-L)
- 1555-0273
- OpenAlex
- W2777249857
- Cited by
- 291
- References
- 5
- FWCI
- 6.83
- Type
- journal article
- Language
- en
- Open access
- green
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