Objective: To identify the knowledge and preventive practices on Zika among reproductive-age women in Lambayeque, Peru.
Materials And Methods: We conducted a cross-sectional study in three districts of Lambayeque, Peru. A representative sample of the reproductive-age women was obtained for each district by means of a multi-stage, stratified, conglomerate based sampling method. We applied a modified version of the World Health Organization (WHO) Questionnaire about Zika. The statistical package STATA v13.0 was used for the analysis.
Results: We surveyed 388 reproductive-age women. The 88.4% recognized the mosquito as the main transmitting agent and more than 50% recognized fever, headache and arthralgia as the main symptoms. Similarly, the practices significantly more frequent were going to their antenatal-care and check-ups, the household use of temephos (Abate), the use of clothes that cover most of the body and the washing and covering the water containers.
Conclusions: Although there is adequate knowledge, incorrect ideas still persist and more than half of the surveyed population reported not feeling sufficiently informed. Preventive practices, in general terms, are found in acceptable compliance percentages, but they should still be improved.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.ejogrb.2018.07.017 | DOI Listing |
Int J Nurs Stud Adv
June 2025
Department of Neurology, Affiliated Hospital of Zunyi Medical University, Guizhou, , 56300, China.
Background: Epilepsy is one of the most common neurological conditions affecting women of reproductive age. Epilepsy management during pregnancy is a clinical conundrum, requiring a balance between seizure control and risk minimization for women with epilepsy, as well as for their fetuses.
Objective: In this review, we aimed to systematically search, evaluate, and summarize relevant evidence on perinatal fertility guidance for women with epilepsy to provide a basis for medical staff to offer comprehensive fertility counseling.
Int J Womens Health
January 2025
Department of Radiological Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Aim: The present study was conducted to analyze uterine measurements and endometrial thickness throughout the menstrual cycle in Saudi healthy females of reproductive age.
Methods: This cohort study was conducted at Princess Nourah bint Abdulrahman University, Saudi Arabia, among thirty-three females of reproductive age who underwent trans-abdominal pelvic ultrasound scans across four menstrual cycle phases. Data analysis was conducted using SPSS version 26, utilizing descriptive statistics, one-way ANOVA, correlation, and regression analysis.
J Ovarian Res
January 2025
Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Polycystic ovary syndrome (PCOS) is the leading cause of anovulatory infertility among women of reproductive age, yet the range of effective treatment options remains limited. Our previous study revealed that reduced levels of nicotinamide adenine dinucleotide (NAD) in ovarian granulosa cells (GCs) of women with PCOS resulted in the accumulation of reactive oxygen species (ROS) and mitochondrial dysfunction. However, it is still uncertain whether increasing NAD levels in the ovaries could improve ovarian function in PCOS.
View Article and Find Full Text PDFBMC Pregnancy Childbirth
January 2025
Department of Social Administration & Justice, Faculty of Arts & Social Sciences, Universiti Malaya, Kuala Lumpur, Asbah, Razali, 50603, Malaysia.
Introduction: Bacterial vaginosis (BV) is one of the most common genital tract infections among women of reproductive age. The existence of BV among pregnant women has momentously attracted the attention of both clinicians and the scientific community due to its potential link with adverse clinical outcomes in pregnancy.
Methods: To evaluate the prevalence, risk factors, and adverse outcomes of bacterial vaginosis among pregnant women, a comprehensive systematic review was conducted based on the preferred reporting items for systematic review and meta-analyses (PRISMA) criteria.
Sci Rep
January 2025
Department of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Integrating machine learning (ML) models into healthcare systems is a rapidly evolving field with the potential to revolutionize care delivery. This study aimed to classify fertility rates and identify significant predictors using ML models among reproductive women in Ethiopia. This study utilized eight ML models in 5864 reproductive-age women using Ethiopian Demographic Health Survey (EDHS), 2019 data.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!