Identification of sexual myths of university students in health-related departments and affecting factors.

Revista da Associacao Medica Brasileira (1992) Pub Date : 2024-09-02 eCollection Date: 2024-01-01 DOI:10.1590/1806-9282.20240416
Ebru İnan Kırmızıgül, Sümeyra Damsarsan, Gonca Karataş Baran, Didem Şimşek Küçükkelepçe, Zehra Gölbaşı
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Abstract

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.

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健康相关专业大学生性迷思的识别及其影响因素。
目的:本研究旨在确定就读于健康相关专业的学生对性迷思的态度及其影响因素:本研究为描述性研究,涉及 287 名就读于健康相关专业的学生。使用 "描述性信息表 "和 "性迷思量表(SMS)"收集数据,并使用 SPSS 22.0 软件包进行分析。使用 SPSS 22.0 软件包对数据进行评估。在统计分析中,采用斯皮尔曼相关分析来确定连续变量与 SMS 分值之间的关系,统计显著性水平为 pResults:总分为 53.57±17.54(最小值:28.00 至最大值:140.00),属于中等水平。不同性别、家庭类型、母亲就业状况和父亲受教育程度的 SMS 总分差异有统计学意义(P尽管学生就读于与健康相关的专业,并接受了相关课程,但他们的性迷思水平仍处于中等水平,这表明在这一问题上存在知识差距和误解。因此,对所有大学生开展全面的生殖健康和性健康教育和咨询服务至关重要。
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