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Aim: The research aimed to determine the attitudes of students studying in health-related departments toward sexual myths and the factors affecting them., Methods: The study is descriptive research involving 287 students enrolled in health-related departments. The data were collected using a "Descriptive Information Form" and the "Sexual Myths Scale (SMS)" and analyzed using the SPSS 22.0 software package. The SPSS 22.0 package program was used to evaluate the data. In statistical analysis, Spearman correlation analysis was employed to determine the relationship between continuous variables and the SMS score, and the statistical significance level was accepted as p<0.05., Results: The total score was found to be 53.57±17.54 (min: 28.00 to max: 140.00), reflecting a moderate level. There was a statistically significant difference between the total score of SMS according to gender, family type, maternal employment status, and paternal education level (p<0.05). It was also determined that male students, students whose mothers were unemployed, who lived in extended families, and whose fathers had low education had lower SMS scores., Conclusion: Despite students studying in health-related departments and receiving relevant courses, their level of sexual myths remains at a moderate level, indicating the presence of knowledge gaps and misconceptions in the subject matter. Therefore, it is crucial to implement comprehensive education and counseling services on reproductive and sexual health for all university students.

The assignment of individuals to a population can be of importance for the identification of mass disaster victims or criminal offenders in the field of forensic genetics. This assignment is based on biostatistical methods that process data of ancestry informative markers (AIMs), which are selected based on large allele frequency differences between the populations of interest. However, population assignments of individuals with an admixed genetic background are challenging. Admixed individuals are genetic mosaics of chromosomal segments from the parental populations, which may lead to ambiguous or no population assignment. This is problematic since admixture events are a substantial part of human history. In this study, we present challenges of interpreting the evidential weight of population assignments. We used Genogeographer for likelihood ratio (LR) calculations and Brazilians as examples of admixed individuals. Brazilians are a very heterogenous population representing a three-way admixture between Native Americans, Europeans, and Africans. Ancestry informative markers were typed in a total of 589 individuals from Brazil using the Precision ID Ancestry Panel. The Brazilians were assigned to six metapopulations (East Asia, Europe, Middle East, North Africa, South-Central Asia, Sub-Saharan Africa) defined in the Genogeographer software and LRs were calculated if the AIM profile was not an outlier in all metapopulations and simulated two-way (1:1) admixtures of the six metapopulations. Population assignments failed for 55% of the samples. These samples had significantly higher genetic contributions from East Asia, South-Central Asia and Sub-Saharan Africa, and significantly lower genetic contributions from Europe. Most of the individuals with population assignments were assigned to the metapopulations of Middle East (58%) or North Africa (36%), followed by Europe (4%), South-Central Asia (1%), and Sub-Saharan Africa (1%). For 8% of the samples, population assignments were only possible when assignments to simulated two-way (1:1) admixtures of the six metapopulations were considered. Most of these individuals were assigned to two-way admixtures of North Africa, South-Central Asia, or Sub-Saharan Africa. Relatively low median likelihood ratios (LRs<1000) were observed when comparing population likelihoods for Europe, Middle East, North Africa, South-Central Asia, or simulated 1:1 admixtures of these metapopulations. Comparisons including East Asian or Sub-Saharan African populations resulted in larger median LRs (LR>10 10 ). The results suggested that the Precision ID Ancestry Panel provided too little information and that additional markers specifically selected for sub-continental differentiation may be required for accurate population assignment of admixed individuals. Furthermore, a Genogeographer database with additional populations including admixed populations would be advantageous for interpretation of admixed AIM profiles. It would likely increase the number of population assignments and illustrate alternatives to the most likely population, which would be valuable information for the case officer when writing the case report., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)