Li Ruotong, Zhao Qiran, Cui Yi, Fan Shenggen
College of Economics and Management, China Agricultural University, Beijing, 100083, China.
Academy of Global Food Economics and Policy, China Agricultural University, Beijing, 100083, China.
Heliyon. 2024 Jul 26;10(15):e35110. doi: 10.1016/j.heliyon.2024.e35110. eCollection 2024 Aug 15.
During the COVID-19 pandemic, there has been a growing prevalence of mental disorders, particularly in China, where anti-epidemic measures have been more stringent compared to other countries. This has resulted in a heightened psychological burden on individuals. However, the actual psychological impacts of COVID-19 on Chinese residents have not been clearly established. In this study, we aimed to investigate the effects of various factors, including personal and household characteristics, social networks, and epidemic-related variables (such as rural residents' knowledge of COVID-19 virus transmission and prevention), on rural residents' depression. Using a two-year balanced panel dataset encompassing 152 villages and 676 samples in both 2019 and 2020, we employed the Ordinary Least Squares (OLS) model to estimate the influence of these factors and compare their coefficients to examine the changes in rural residents' depression between the pre-epidemic and during-epidemic periods. Our study highlights significant factors contributing to rural residents' depression during the COVID-19 pandemic, including isolation (2.063, p < 0.01) and concern about COVID-19 infection (0.128, p < 0.05). Conversely, factors such as health status (-0.714, p < 0.01) and the number of friends (-0.017, p < 0.01) were found to significantly alleviate depression among rural residents. Moreover, we identify key moderators that mitigate the negative impact of infection concerns on mental health. Specifically, the health status of rural residents (-0.166, p < 0.01), the size of their family network (-0.036, p < 0.05), and their knowledge of COVID-19 transmission and prevention (-0.184, p < 0.05) significantly moderated the relationship between infection concerns and depression. These findings contribute to a better understanding of the psychological implications of the pandemic and provide valuable insights for the development of targeted interventions to address mental health challenges in rural populations.
在新冠疫情期间,精神障碍的患病率不断上升,在中国尤其如此,与其他国家相比,中国的抗疫措施更为严格。这给个人带来了更大的心理负担。然而,新冠疫情对中国居民的实际心理影响尚未明确。在本研究中,我们旨在调查各种因素,包括个人和家庭特征、社会网络以及与疫情相关的变量(如农村居民对新冠病毒传播和预防的了解)对农村居民抑郁的影响。利用一个包含2019年和2020年152个村庄及676个样本的两年平衡面板数据集,我们采用普通最小二乘法(OLS)模型来估计这些因素的影响,并比较它们的系数,以考察疫情前和疫情期间农村居民抑郁情况的变化。我们的研究突出了新冠疫情期间导致农村居民抑郁的重要因素,包括隔离(2.063,p < 0.01)和对新冠感染的担忧(0.128,p < 0.05)。相反,健康状况(-0.714,p < 0.01)和朋友数量(-0.017,p < 0.01)等因素被发现能显著减轻农村居民的抑郁情绪。此外,我们确定了减轻感染担忧对心理健康负面影响的关键调节因素。具体而言,农村居民的健康状况(-0.166,p < 0.01)、家庭网络规模(-0.036,p < 0.05)以及他们对新冠传播和预防的了解(-0.184,p < 0.05)显著调节了感染担忧与抑郁之间的关系。这些发现有助于更好地理解疫情的心理影响,并为制定针对性干预措施以应对农村人口的心理健康挑战提供有价值的见解。