Sociodemographic and Medical Characteristics of Women Applied for Emergency Contraception-A Retrospective Observational Study.
Richárd TóthLotti LőcziMarianna TörökAttila KeszthelyiGergő LeipoldNándor ÁcsSzabolcs VárbíróMárton KeszthelyiBalázs LintnerPublished in: Journal of clinical medicine (2024)
Background : Lifestyle factors significantly impact overall health. Our aim was to assess reproductive health awareness among patients who applied for emergency contraceptive pills. Methods : This present retrospective observational study between July 2021 and September 2021 is embedded in the MEEC (Motivation and Epidemiology of Emergency Contraceptive Pill) based on the study cohort of a Hungarian data bank containing follow-up data of 447 women who applied for EC telemedicine consultation. Collected data: age, history of previous pregnancy, lifestyle factors like smoking, alcohol consumption, sexual characteristics: partner consistency and protection during intercourse, cervical cancer screening within the past 2 years, previous HPV screening, and the preference for future contraceptive methods. The investigation also compiled accurate data on intercourse (elapsed time to request a medical consultation). Lifestyle factors were scored. Results : The more health-conscious patients were quicker to report for a post-event pill. Earlier pregnancies and older age were associated with greater reproductive health awareness. Conclusions : Reproductive health awareness is increased by previous pregnancies and older age. More health-conscious women consult a doctor earlier, which can reduce the chance of various health damage. Our study emphasizes the significance of lifestyle factor influence on reproductive health decisions.
Keyphrases
- high grade
- healthcare
- public health
- cervical cancer screening
- pregnancy outcomes
- physical activity
- electronic health record
- metabolic syndrome
- emergency department
- mental health
- polycystic ovary syndrome
- cardiovascular disease
- alcohol consumption
- weight loss
- health information
- big data
- preterm birth
- end stage renal disease
- palliative care
- men who have sex with men
- newly diagnosed
- chronic kidney disease
- health promotion
- type diabetes
- pregnant women
- insulin resistance
- hiv infected
- antiretroviral therapy
- ejection fraction
- human immunodeficiency virus
- human health
- hepatitis c virus
- climate change
- skeletal muscle
- middle aged
- adipose tissue
- machine learning
- community dwelling
- prognostic factors
- mass spectrometry
- deep learning
- risk factors
- patient reported outcomes