Institute of Social Science, The University of Tokyo, Japan.
Cancer Control Center, Osaka International Cancer Institute, Japan.
J Affect Disord. 2022 May 15;305:19-27. doi: 10.1016/j.jad.2022.02.055. Epub 2022 Feb 24.
This study expands on previous studies that have investigated the impact of the novel coronavirus disease (COVID-19) on mental health in two ways. We first model the change in mental health, then examine the various factors that predict changes in psychological distress.
Longitudinal surveys were conducted once each in 2015, 2017, and 2019 on mothers and their children born between April 2000 and March 2001 (n = 1854), and three times in 2020 (February, July, and December) on the children in Japan. A latent growth curve model with four time points from December 2019 to December 2020 was used to depict the changes in the psychological distress of youths and to examine the factor associated with the level and change in psychological distress.
The psychological distress of youths increased from December 2019 to July 2020, especially among female youths, then decreased in December 2020. Initial health status and psychological traits were related to the initial level of psychological distress, but not the change. Gender was not related to the initial level of psychological distress but an increase in distress.
Although the effect size was small, gender was related to changes in distress during the COVID-19 pandemic. Other factors, such as health-related characteristics and personality traits, were associated with the level of distress before the pandemic but could not explain the changes in distress during the pandemic.
本研究通过两种方式扩展了之前研究新型冠状病毒病(COVID-19)对心理健康影响的研究。我们首先对心理健康变化进行建模,然后检查预测心理困扰变化的各种因素。
2015 年、2017 年和 2019 年,我们对母亲及其在 2000 年 4 月至 2001 年 3 月期间出生的孩子进行了一次纵向调查(n=1854),2020 年在日本对这些孩子进行了三次调查(2 月、7 月和 12 月)。我们使用具有四个时间点(2019 年 12 月至 2020 年 12 月)的潜在增长曲线模型来描述青少年心理困扰的变化,并检查与心理困扰水平和变化相关的因素。
青少年的心理困扰从 2019 年 12 月到 2020 年 7 月增加,尤其是女性青少年,然后在 2020 年 12 月下降。初始健康状况和心理特征与初始心理困扰水平相关,但与变化无关。性别与初始心理困扰水平无关,但与困扰程度的增加有关。
尽管效应量较小,但性别与 COVID-19 大流行期间的困扰变化有关。其他因素,如与健康相关的特征和人格特征,与大流行前的困扰水平有关,但不能解释大流行期间困扰的变化。