dataset · Zenodo (CERN European Organization for Nuclear Research)
This research outlines a comprehensive dataset capturing pelvic and renal ultrasound measurements alongside menstrual health and lifestyle data from reproductive-aged female students in Nigeria. The collected information tracks physiological fluctuations across different menstrual phases, recording specific dimensions of the uterus, ovaries, kidneys, and bladder. It documents menstrual characteristics, including menarcheal age, cycle length, cycle regularity, and phase-specific symptoms, as well as biodemographic factors such as age and body mass index. Lifestyle variables, namely alcohol use and smoking, are also recorded alongside gynaecological pathologies like ovarian cysts, polycystic ovary syndrome features, uterine fibroids, polyps, adenomyosis, and pouch of Douglas fluid. The dataset serves as the foundation for multiple studies exploring the interactions between pelvic organ dimensions, menstrual irregularities, lifestyle habits, and phase-dependent variations in renal and bladder measurements.
Understanding how pelvic and urinary organs fluctuate throughout the menstrual cycle is vital for women's healthcare. By providing detailed, phase-specific ultrasound measurements alongside health and lifestyle indicators from young women in Nigeria, this data supports clearer clinical reference baselines and aids future research into common gynaecological disorders such as fibroids and polycystic ovary syndrome.
This work represents early-stage baseline research. While the dataset provides clinical and anatomical measurements that could eventually inform the development of diagnostic criteria, gynaecological imaging protocols, or medical training models for clinicians and ultrasound practitioners, the abstract does not indicate a direct commercial application pathway or product.
AI-generated from the published abstract. Always read the original work before citing.
This dataset contains comprehensive ultrasound, menstrual health, biodemographic, and lifestyle information collected from reproductive‑aged female students in Nigeria. The dataset was generated from a single, large‑scale project designed to investigate menstrual physiology and pelvic organ measurements across different menstrual phases. It includes detailed ultrasound assessments of the uterus, ovaries, kidneys, and bladder, alongside menstrual cycle characteristics such as menarcheal age, cycle length, cycle regularity, menstrual symptoms, and phase‑specific variations. The dataset also captures lifestyle factors (alcohol use, smoking), biodemographic variables (age, BMI), and a range of gynecological pathologies including ovarian cysts, PCOS‑related features, pouch of Douglas fluid, uterine fibroids, polyps, and adenomyosis. These measurements were collected across multiple menstrual phases to enable evaluation of physiological fluctuations throughout the cycle. This dataset supports four distinct studies examining:(1) menarcheal age, uterine dimensions, and menstrual irregularities;(2) ovarian dimensions and ovarian pathologies across menstrual phases;(3) uterine pathologies in relation to menstrual disturbances and lifestyle factors; and(4) menstrual‑cycle‑related variations in kidney length and bladder volume.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.5281/zenodo.19008084
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