PDF(Pubmed)
Abstract：
BACKGROUND: The COVID-19 pandemic has triggered a global mental health crisis. Yet, we know little about the lasting effects of COVID-19 infection on mental health. This prospective longitudinal study aimed to investigate the trajectories of mental health changes in individuals infected with COVID-19 and to identify potential predictors that may influence these changes.
METHODS: A web-survey that targeted individuals that had been infected with COVID-19 was used at three time-points: T0 (baseline), T1 (six months), and T2 (twelve months). The survey included demographics, questions related to COVID-19 status, previous psychiatric diagnosis, post-COVID impairments, fatigue, and standardized measures of depression, anxiety, insomnia. Linear mixed models were used to examine changes in depression, anxiety, and insomnia over time and identify factors that impacted trajectories of mental health outcomes.
RESULTS: A total of 236 individuals completed assessments and was included in the longitudinal sample. The participants\' age ranged between 19 and 81 years old (M = 48.71, SD = 10.74). The results revealed notable changes in mental health outcomes over time. The trajectory of depression showed significant improvement over time while the trends in anxiety and insomnia did not exhibit significant changes over time. Younger participants and individuals who experienced severe COVID-19 infection in the acute phase were identified as high-risk groups with worst mental ill-health. The main predictors of the changes in the mental health outcomes were fatigue and post-COVID impairments.
CONCLUSIONS: The findings of our study suggest that mental health outcomes following COVID-19 infection exhibit a dynamic pattern over time. The study provides valuable insights into the mental health trajectory following COVID-19 infection, emphasizing the need for ongoing assessment, support, and interventions tailored to the evolving mental health needs of this population.
METHODS: A web-survey that targeted individuals that had been infected with COVID-19 was used at three time-points: T0 (baseline), T1 (six months), and T2 (twelve months). The survey included demographics, questions related to COVID-19 status, previous psychiatric diagnosis, post-COVID impairments, fatigue, and standardized measures of depression, anxiety, insomnia. Linear mixed models were used to examine changes in depression, anxiety, and insomnia over time and identify factors that impacted trajectories of mental health outcomes.
RESULTS: A total of 236 individuals completed assessments and was included in the longitudinal sample. The participants\' age ranged between 19 and 81 years old (M = 48.71, SD = 10.74). The results revealed notable changes in mental health outcomes over time. The trajectory of depression showed significant improvement over time while the trends in anxiety and insomnia did not exhibit significant changes over time. Younger participants and individuals who experienced severe COVID-19 infection in the acute phase were identified as high-risk groups with worst mental ill-health. The main predictors of the changes in the mental health outcomes were fatigue and post-COVID impairments.
CONCLUSIONS: The findings of our study suggest that mental health outcomes following COVID-19 infection exhibit a dynamic pattern over time. The study provides valuable insights into the mental health trajectory following COVID-19 infection, emphasizing the need for ongoing assessment, support, and interventions tailored to the evolving mental health needs of this population.
摘要：
背景：COVID-19大流行引发了全球心理健康危机。然而，我们对COVID-19感染对心理健康的持久影响知之甚少。这项前瞻性纵向研究旨在调查感染COVID-19的个体的心理健康变化轨迹，并确定可能影响这些变化的潜在预测因素。
方法：在三个时间点使用了针对已感染COVID-19的个体的网络调查：T0（基线），T1（六个月），和T2（十二个月）。调查包括人口统计，与COVID-19状态相关的问题，以前的精神病诊断，后COVID损伤，疲劳,和抑郁的标准化措施，焦虑,失眠。线性混合模型用于检查抑郁症的变化，焦虑,和失眠随着时间的推移，并确定影响心理健康结果轨迹的因素。
结果：共有236名个体完成评估并纳入纵向样本。参与者年龄在19至81岁之间（M=48.71，SD=10.74）。结果显示，随着时间的推移，心理健康结果发生了显著变化。随着时间的推移，抑郁的轨迹显示出显着改善，而焦虑和失眠的趋势并没有表现出明显的变化。年轻的参与者和在急性期经历过严重COVID-19感染的个体被确定为精神疾病最严重的高危人群。心理健康结果变化的主要预测因素是疲劳和COVID后损伤。
结论：我们的研究结果表明，随着时间的推移，COVID-19感染后的心理健康结果呈现动态模式。这项研究为COVID-19感染后的心理健康轨迹提供了有价值的见解，强调需要进行持续评估，支持,以及针对该人群不断变化的心理健康需求的干预措施。
方法：在三个时间点使用了针对已感染COVID-19的个体的网络调查：T0（基线），T1（六个月），和T2（十二个月）。调查包括人口统计，与COVID-19状态相关的问题，以前的精神病诊断，后COVID损伤，疲劳,和抑郁的标准化措施，焦虑,失眠。线性混合模型用于检查抑郁症的变化，焦虑,和失眠随着时间的推移，并确定影响心理健康结果轨迹的因素。
结果：共有236名个体完成评估并纳入纵向样本。参与者年龄在19至81岁之间（M=48.71，SD=10.74）。结果显示，随着时间的推移，心理健康结果发生了显著变化。随着时间的推移，抑郁的轨迹显示出显着改善，而焦虑和失眠的趋势并没有表现出明显的变化。年轻的参与者和在急性期经历过严重COVID-19感染的个体被确定为精神疾病最严重的高危人群。心理健康结果变化的主要预测因素是疲劳和COVID后损伤。
结论：我们的研究结果表明，随着时间的推移，COVID-19感染后的心理健康结果呈现动态模式。这项研究为COVID-19感染后的心理健康轨迹提供了有价值的见解，强调需要进行持续评估，支持,以及针对该人群不断变化的心理健康需求的干预措施。
