Melchior Florian, Beyreuther Konrad, Teichmann Birgit
Network Aging Research (NAR), Heidelberg University, Heidelberg, Germany.
Front Genet. 2024 May 15;15:1350308. doi: 10.3389/fgene.2024.1350308. eCollection 2024.
Advances in biosciences have significantly expanded our knowledge and capabilities in medicine and technology. Genetic tests can now predict hereditary predisposition or susceptibility to diseases, while gene-editing tools like CRISPR/Cas enable easy repair of disease genes in both somatic and germline cells, ensuring permanent genome correction. Despite these advancements, there is a shortage of valid instruments for studying the knowledge about these technologies. To fill this gap, our study aims to translate and validate various scales to effectively measure the public's knowledge of genetics. A convenience sample of = 567 (Germany = 317, Greece = 250) participants completed a Google Forms questionnaire between December 2022 and June 2023, which included the General Knowledge of Genes and Heredity (GKGH), Knowledge about Gene-Environment Interaction (KGEI), and Knowledge of Modern Genetics and Genomics (KMGG) questionnaires. Analyses included internal consistency, structural validity, construct validity, and retest reliability with a subset of = 72 (DE) and = 50 (GR). Correlation analyses and group differences were evaluated for gender, education, religiosity, age, prior experience with genetic testing, and preferences toward potential providers of genetic testing. This study used the STROBE checklist for reporting. The GKGH exhibited low values in internal consistency and item analysis, along with a ceiling effect within the German group. However, it demonstrated good values in retest and construct validity. In the Greek group, all properties were highly satisfactory. The KMGG consistently displayed excellent properties across all analyses, whereas the KGEI only showed convincing results in construct validity and item analysis. The GKGH and KMGG demonstrated strong psychometric properties with varying difficulty levels dependent on the sample, with the German sample demonstrating a notably higher understanding of genetic technologies. Despite displaying acceptable properties, the KGEI fell short of measuring what its title suggests. Participants' level of education showed a significant correlation with knowledge of genetic technologies, and only in the Greek sample did experiences with genetic tests influence knowledge. Preferences regarding availability of genetic testing are comparable between the two countries, with variations influenced by factors such as age, gender and religiosity.
生物科学的进步极大地扩展了我们在医学和技术方面的知识与能力。基因检测如今能够预测遗传性疾病的易感性或患病倾向,而像CRISPR/Cas这样的基因编辑工具能在体细胞和生殖细胞中轻松修复致病基因,确保基因组得到永久性校正。尽管取得了这些进展,但用于研究这些技术相关知识的有效工具却很匮乏。为填补这一空白,我们的研究旨在翻译和验证各种量表,以有效衡量公众对遗传学的了解程度。一个由567名参与者(德国317名,希腊250名)组成的便利样本在2022年12月至2023年6月期间完成了一份谷歌表单问卷,其中包括基因与遗传常识(GKGH)、基因 - 环境相互作用知识(KGEI)以及现代遗传学和基因组学知识(KMGG)问卷。分析内容包括内部一致性、结构效度、构想效度以及对72名(德国)和50名(希腊)子集的重测信度。针对性别、教育程度、宗教信仰、年龄、基因检测既往经历以及对潜在基因检测提供者的偏好进行了相关分析和组间差异评估。本研究采用STROBE清单进行报告。GKGH在内部一致性和项目分析中得分较低,在德国组中存在天花板效应。然而,它在重测和构想效度方面表现良好。在希腊组中,所有属性都非常令人满意。KMGG在所有分析中始终表现出优异的属性,而KGEI仅在构想效度和项目分析中显示出令人信服的结果。GKGH和KMGG展现出强大的心理测量属性,难度水平因样本而异,德国样本对基因技术的理解明显更高。尽管KGEI表现出可接受的属性,但未能如其标题所示测量相应内容。参与者的教育程度与基因技术知识显著相关,并且只有在希腊样本中基因检测经历才会影响知识水平。两国在基因检测可及性偏好方面具有可比性,其差异受年龄、性别和宗教信仰等因素影响。