Department of Sociology, Social Work and Public Health, Faculty of Labour Sciences, University of Huelva, 21007 Huelva, Spain.
Safety and Health Postgraduate Programme, Universidad Espíritu Santo, Guayaquil 092301, Ecuador.
Int J Environ Res Public Health. 2020 Jun 2;17(11):3947. doi: 10.3390/ijerph17113947.
Measures to prevent and contain the COVID-19 health crisis include population confinement, with the consequent isolation and interruption of their usual activities. The aim of the study is to analyse psychological distress during the COVID-19 pandemic. For this, a cross-sectional observational study with a sample of 4180 people over the age of 18 during quarantine was developed. Variables considered were sociodemographic variables, physical symptoms, health conditions, COVID-19 contact history and psychological adjustment. The data were collected through a self-developed questionnaire and the General Health Questionnaire (GHQ-12). Bivariate analyses were performed, including Chi-Squared test and Student's T-test. Predictive ability was calculated through logistic regression. Results obtained showed a high level of psychological distress (72.0%), with a higher percentage in women and people of lower middle age. Statistically significant differences were found in the variable working situation (χ² = 63.139, 0.001, V = 0.123) and living with children under the age of 16 (χ² = 7.393, = 0.007, V = 0.042). The predictive variables with the highest weight were sex (OR = 1.952, 95% IC = (1.667, 2.286)), presence of symptoms (OR = 1.130, 95% CI = (1.074, 1.190)), and having had close contact with an individual with confirmed COVID-19 (OR = 1.241, 95% CI = (1.026, 1.500)). These results could enrich prevention interventions in public health and, in particular, in mental health in similar pandemic situations.
预防和控制 COVID-19 健康危机的措施包括人口隔离,随之而来的是他们的日常活动的隔离和中断。本研究旨在分析 COVID-19 大流行期间的心理困扰。为此,开展了一项横断面观察性研究,样本为隔离期间的 4180 名 18 岁以上的人群。考虑的变量包括社会人口学变量、身体症状、健康状况、COVID-19 接触史和心理调整。数据通过自行设计的问卷和一般健康问卷(GHQ-12)收集。进行了双变量分析,包括卡方检验和学生 t 检验。通过逻辑回归计算预测能力。结果显示,心理困扰程度较高(72.0%),女性和年龄较低的中年人比例更高。在工作情况(χ² = 63.139, 0.001,V = 0.123)和与 16 岁以下儿童同住(χ² = 7.393, = 0.007,V = 0.042)变量方面存在统计学显著差异。具有最高权重的预测变量是性别(OR = 1.952,95%CI =(1.667,2.286))、存在症状(OR = 1.130,95%CI =(1.074,1.190))和与确诊 COVID-19 患者有过密切接触(OR = 1.241,95%CI =(1.026,1.500))。这些结果可以丰富公共卫生预防干预措施,特别是在类似大流行情况下的心理健康干预措施。