Business Administration, School of Social Sciences, Hellenic Open University, 26335 Patra, Greece.
Big Data Analytics, School of Computing, Mediterranean College of Thessaloniki, 54625 Thessaloniki, Greece.
Int J Environ Res Public Health. 2023 Jan 19;20(3):1843. doi: 10.3390/ijerph20031843.
The global outbreak of the COVID-19 pandemic has spread worldwide, affecting almost all countries and territories. COVID-19 continues to impact various spheres of our life, such as the economy, industries, global market, agriculture, human health, health care, and many others. The aim of this study was to investigate the impact of the COVID-lockdowns on people's mental health in Greece. A descriptive, cross-sectional study was conducted in several urban, semi-urban and rural areas. The survey of 252 Greek people was conducted in spring 2022, and 46.8% of them were female and the other 53.2% were male. Ages were between 19 and 60 years old. Some of the main findings were that most of the participants feel their mental health got worse than before (about 80%), participants with kids were more affected than those who did not have any kids because they had bigger responsibilities and the pandemic might have caused them a lot of problems to deal with. The higher the income, the less they are affected, and people whose jobs did not change dramatically were also less likely to not be much mentally affected. Moreover, the percentage of smokers whose mental health became worse was greater than that among those who did not smoke. The same happened with those who consumed alcohol. Finally, we used the GBM algorithm to find three important predictors and we applied k-means to have a clear picture of the different clusters and how a number of participants are connected according to their answers.
COVID-19 疫情在全球范围内爆发,已经蔓延到世界各个国家和地区。COVID-19 继续影响着我们生活的各个方面,如经济、产业、全球市场、农业、人类健康、医疗保健等等。本研究旨在调查 COVID-19 封锁对希腊人心理健康的影响。采用描述性、横断面研究方法,在多个城市、半城市和农村地区进行。2022 年春季对 252 名希腊人进行了调查,其中 46.8%为女性,53.2%为男性。年龄在 19 至 60 岁之间。一些主要发现是,大多数参与者感觉他们的心理健康比以前更差(约 80%),有孩子的参与者比没有孩子的参与者受影响更大,因为他们有更大的责任,大流行可能给他们带来了很多问题需要处理。收入越高,受影响越小,工作变化不大的人也不太可能受到太大的精神影响。此外,心理健康状况恶化的吸烟者比例高于不吸烟者。饮酒者也是如此。最后,我们使用 GBM 算法找到了三个重要的预测因素,并应用 k-均值聚类算法来清楚地了解不同的群组,以及根据参与者的回答,有多少参与者是相互关联的。