Background: Preconception sex selection for non-medical reasons is a controversial issue in bioethics. Little research has described preferences for preconception sex selection among Arab populations. This study describes the sex preference and interest in employing sex selection techniques among pregnant women in northern Jordan.
Methods: A self-reported questionnaire was administered to 600 pregnant women in Irbid, Jordan. chi(2) test and binary logistic regression were used to examine the factors associated with interest in preconception sex selection.
Results: In general, the interest in using sex selection was low. Women who preferred boys were more likely to be interested in sex selection, if paid for by the couple [odds ratio (OR) = 4.40, 95% confidence interval (CI): 1.75-11.11] or by health insurance (OR = 3.42, 95% CI: 1.94-6.06), or, if feasible, administered through oral medication (OR = 8.84, 95% CI: 5.05-15.63). Women with lower education were more likely to be interested in sex selection, if paid by health insurance (OR = 1.96, 95% CI: 1.10-3.45) and were more likely to believe that sex selection is legal (OR = 1.79, 95% CI: 1.06-2.86). Women who had no boys were more likely to be interested in sex selection, if paid by health insurance (OR = 1.94, 95% CI: 1.10-3.42) or, if feasible, through medication (OR = 3.03, 95% CI: 1.82-5.00).
Conclusions: The majority of participants were not in favor of using preconception sex selection. Those with a preference to have boys, with lower education, and those with an imbalanced family were more likely to be interested in using sex selection technology.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1093/humrep/dep080 | DOI Listing |
J Headache Pain
January 2025
Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea.
Inter-individual variability in symptoms and the dynamic nature of brain pathophysiology present significant challenges in constructing a robust diagnostic model for migraine. In this study, we aimed to integrate different types of magnetic resonance imaging (MRI), providing structural and functional information, and develop a robust machine learning model that classifies migraine patients from healthy controls by testing multiple combinations of hyperparameters to ensure stability across different migraine phases and longitudinally repeated data. Specifically, we constructed a diagnostic model to classify patients with episodic migraine from healthy controls, and validated its performance across ictal and interictal phases, as well as in a longitudinal setting.
View Article and Find Full Text PDFNat Ecol Evol
January 2025
School of Biosciences, University of Sheffield, Sheffield, UK.
Sci Rep
January 2025
Wildlife Institute of India, Dehradun, 248001, Uttarakhand, India.
Intra-specific interactions among top carnivores are among the most intriguing behavioural aspects and essential components of population dynamics. Static interactions pertain to space use, while dynamic interactions involve spatio-temporal patterns influenced by social structure, distribution, mate selection, and density. Previous studies have focused on static interactions, successfully estimating spatial overlap but leading to a knowledge gap of dynamic interaction to be able to compute attraction and avoidance on similar spatio-temporal scales.
View Article and Find Full Text PDFIntroduction: Patients with hidradenitis suppurativa (HS) experience a 10-year diagnosis delay, on average. Accordingly, time to diagnosis represents one of the greatest unmet needs in HS, which to date has not been adequately addressed. A general lack of awareness about HS in the medical community and a notable heterogeneity in clinical presentation, which is most often confused with cutaneous abscess (CA), forms the basis of poor disease recognition and diagnosis delay.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Seoul National University Bundang Hospital, Seongnam, Korea, Republic of (South).
Background: To investigate the neuroanatomical characteristics at the whole-brain level associated with progression from amyloid-positive preclinical to prodromal Alzheimer's disease (AD) in relation to amyloid deposition and regional atrophy.
Method: We included 45 participants with amyloid-positive preclinical AD and 135 participants with prodromal AD matched 1:3 by age, sex, and education, from participants in the Korean Longitudinal Study on Cognitive Aging and Dementia and visitors to the dementia clinic of Seoul National University Bundang Hospital. All participants underwent F-florbetaben positron emission tomography and 3D structural T1-weighted magnetic resonance imaging.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!