EYES2022 ESE Young Endocrinologists and Scientists (EYES) 2022 Reproductive and Developmental Endocrinology (13 abstracts)
Reliability of patient’s auto-report on the regularity of their menstrual cycle
Antić N 1 , Marina Lj. 1,2 , Dugić B 3 , Šojat A. S. 1 , Petković T 1 , Saravinovska K 2 , Petković D. S. 2 , Ivović M. 1,2 , Arizanović Z 1 , Tančić Gajić M. 1,2 & Vujović S. 1,2
1Clinic for Endocrinology, Diabetes and Metabolic disease, University Clinical Centre of Serbia, National centre for Infertility and endocrinology of gender; 2 University of Belgrade, Faculty of medicine; 3 University of Belgrade, School of Electrical Engineering
Background: Menstrual cycle characteristics are essential indicators of a woman’s reproductive health. The reliability of auto-reported data assesment of menstrual cycle length has been questioned.
Objectives: The aim was to evaluate the reliability of auto-reported data on menstrual cycle regularity.
Methods: We created an anonymous survey about reproductive health and menstrual cycle characteristics and shared it with women of reproductive age. Patients were first asked to auto-report data on menstrual cycle regularity in the last six months and then answer the same question while using the smartphone application for period tracking.
Results: The study included 195 women, mean age 26.54 ± 6.955 years and an average body mass index (BMI) of 21.982 ± 2.98 kg/m2. 123 women (63.1 %) mean age 27.20 ± 6.98 years, mean BMI 22.11 ± 3.188 kg/m2, answered correctly about their menstrual cycle regularity, and 72 women (36.9 %) mean age 25.42 ± 6.811 years, mean BMI 22.37 ± 2.59 kg/m2, gave the wrong answer. Women who gave the wrong answer were significantly younger (mean age 25.42 ± 6.811 years, p =0.018) than women who answered correctly. There was no difference in BMI, education, marital status, or comorbidities between the groups.
Conclusions: Our data point to significant unreliability of auto-reported data on menstrual cycle regularity. Patients should be encouraged to use the smartphone applications for period tracking. Also, it is important to raise awareness and education on the importance of menstrual cycle characteristics.
Article tools
My recent searches
My recently viewed abstracts
Authors
Endocrine Abstracts
ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
© Bioscientifica 2024 |
Privacy policy |
Cookie settings
BiosciAbstracts
Bioscientifica Abstracts is the gateway to a series of products that provide a permanent, citable record of abstracts for biomedical and life science conferences.
Find out more