Laboratory of Neuroscience, Graduate School of Life Sciences, Toyo University, Itakura, Gunma, Japan.
Neuropsychopharmacol Rep. 2020 Sep;40(3):246-253. doi: 10.1002/npr2.12123. Epub 2020 Jul 4.
Recent years have witnessed a rapid rise in the incidence of mental health deterioration, such as depression and depressive symptoms. Therefore, early detection and measures of prevention have become important. This study aimed to develop a predictive method for assessing the incident risk of mental health deterioration by examining the associations between mental health and handwriting duration.
A cohort study over four years was performed with 200 university students who volunteered to participate in this study. Participants received the Uchida-Kraepelin test every April and completed the 30-item general health questionnaire to evaluate their mental health. From the stroke data obtained from the digital pen in the Uchida-Kraepelin test, two kinds of intervals were extracted. Based on these interval ratios, participants were divided into two groups. We then examined the scores of the questionnaire between the high-risk group and the low-risk group in the first year of the study. In addition, multiple logistic regression analysis was used to examine whether those in the high-risk group in the first year still belonged to the high-risk group in the fourth year.
In the "Anxiety and Dysphoria scale" in the first year, the high-risk group had a significantly higher score than the low-risk group. Additionally, it was found that those in the high-risk group in the first year tended to still be in the high-risk group in the fourth year.
These results suggested that the indicator that we developed can be used as a predictive factor for the incident risk of mental health deterioration.
近年来,心理健康恶化(如抑郁和抑郁症状)的发病率迅速上升。因此,早期发现和预防措施变得尤为重要。本研究旨在通过研究心理健康与笔迹持续时间之间的关系,开发一种评估心理健康恶化事件风险的预测方法。
对 200 名自愿参加本研究的大学生进行了为期四年的队列研究。参与者每年 4 月接受内田-克拉佩林测试,并完成 30 项一般健康问卷,以评估他们的心理健康状况。从内田-克拉佩林测试中数字笔获得的笔划数据中提取了两种间隔。根据这些间隔比,将参与者分为两组。然后,我们检查了研究第一年高风险组和低风险组之间问卷的得分。此外,还使用多变量逻辑回归分析来检查那些在第一年属于高风险组的人在第四年是否仍属于高风险组。
在第一年的“焦虑和抑郁量表”中,高风险组的得分明显高于低风险组。此外,还发现那些在第一年处于高风险组的人在第四年仍倾向于处于高风险组。
这些结果表明,我们开发的指标可以作为心理健康恶化事件风险的预测因素。