Dar-Nimrod Ilan, MacNevin Georgia, Godwin Alexandra, Lynch Kate, Magory Cohen Tali, Ganesan Asha, Morandini James
School of Psychology, University of Sydney, Sydney, New South Wales, Australia,
The Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia,
Public Health Genomics. 2018;21(3-4):133-143. doi: 10.1159/000496381. Epub 2019 Feb 26.
Genetic knowledge, which plays important functions in our understanding of science, health, social groupings, and even behaviour, has been evaluated in past studies with various populations. This wide reach of genetics means that different types of items are used to assess genetic knowledge, which restricts meaningful comparisons across time- and locale-based studies.
The present study addresses this limitation by recruiting an Australia-wide sample and evaluating their genetic knowledge using items sourced from four diverse samples.
Seven hundred and eighty Australians completed a variety of items assessing their genetic knowledge as well as several demographic indicators.
The results show superior overall genetic knowledge in the current sample compared with previous samples. Additionally, the study finds that genetic knowledge about health and illness seems to be the most accurate, whereas such knowledge about social categorisations and behaviours seems to be the most error-prone. In the current sample, being a female and having interest in genetics were positive predictors of genetic knowledge; surprisingly educational attainment was not a significant predictor.
Compared with previous surveys, the current sample showed significantly better genetic knowledge. However, certain areas that relate to public understating still indicate rampant misperceptions.
遗传知识在我们对科学、健康、社会群体乃至行为的理解中发挥着重要作用,过去针对不同人群的研究已对其进行了评估。遗传学的广泛影响意味着用于评估遗传知识的项目类型各异,这限制了基于时间和地点的研究之间进行有意义的比较。
本研究通过在全澳大利亚范围内抽样,并使用来自四个不同样本的项目评估他们的遗传知识,来解决这一局限性。
780名澳大利亚人完成了各种评估其遗传知识以及若干人口统计学指标的项目。
结果显示,与之前的样本相比,当前样本的总体遗传知识水平更高。此外,研究发现,关于健康和疾病的遗传知识似乎最为准确,而关于社会分类和行为的此类知识似乎最容易出错。在当前样本中,女性以及对遗传学感兴趣是遗传知识的积极预测因素;令人惊讶的是,受教育程度并非显著的预测因素。
与之前的调查相比,当前样本显示出明显更好的遗传知识。然而,与公众理解相关的某些领域仍存在普遍的误解。