Centre for Mental Health, School of Health Sciences, Swinburne University of Technology, Melbourne, VIC, Australia.
Centre for Mental Health, School of Health Sciences, Swinburne University of Technology, Melbourne, VIC, Australia.
J Psychiatr Res. 2022 Jun;150:231-236. doi: 10.1016/j.jpsychires.2022.03.060. Epub 2022 Apr 3.
The coronavirus (COVID-19) pandemic has caused major disruptions to social and other forms of functioning, which may influence schizotypy expression. The current study aimed to explore possible distal and proximal predictors contributing to schizotypy in a sample of the Australian general population during the COVID-19 pandemic. The COvid-19 and you: mentaL heaLth in AusTralia now survEy (COLLATE) project is an online mental health study aimed at tracking key mental health indicators over the progression of the pandemic. Adults residing in Australia were invited to take part using non-discriminative snowball sampling. Demographic-clinical information was collected for 850 participants in either October 2020 or January 2021. To assess schizotypy facets, the Launay-Slade Hallucinations Scale-Extended (LSHS-E) and Peters Delusions Inventory (PDI-21) were used to measure hallucination and delusion proneness respectively. Generalised linear models (with gamma and negative binomial distributions) were employed. Age, negative emotions and loneliness significantly contributed to both hallucination and delusion proneness; gender, education and religiosity also significantly contributed to delusion proneness, in the final regression models. Our study corroborated the specific contribution of loneliness, amongst other factors, in the prediction of schizotypy facets. Tackling loneliness represents a public health challenge that needs to be urgently addressed, especially in the face of the ongoing COVID-19 pandemic.
冠状病毒(COVID-19)大流行对社交和其他形式的功能造成了重大干扰,这可能会影响精神分裂症的表现。本研究旨在探索在 COVID-19 大流行期间澳大利亚普通人群样本中可能导致精神分裂症的远端和近端预测因素。COvid-19 和你:澳大利亚现在的心理健康调查(COLLATE)项目是一项在线心理健康研究,旨在追踪大流行期间关键心理健康指标的进展。邀请居住在澳大利亚的成年人使用非歧视性滚雪球抽样参加。在 2020 年 10 月或 2021 年 1 月,为 850 名参与者收集了人口统计学-临床信息。为了评估精神分裂症特征,使用了 Launay-Slade 幻觉量表扩展版(LSHS-E)和彼得斯妄想量表 21 版(PDI-21)分别衡量幻觉和妄想倾向。使用广义线性模型(伽马和负二项式分布)。年龄、消极情绪和孤独感对幻觉和妄想倾向都有显著贡献;在最终的回归模型中,性别、教育和宗教信仰也对妄想倾向有显著贡献。我们的研究证实了孤独感等因素在预测精神分裂症特征方面的具体贡献。解决孤独感是一个公共卫生挑战,需要紧急解决,尤其是在持续的 COVID-19 大流行面前。