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, p ≤ 0.001, V = 0.123) and living with children under the age of 16 (χ² = 7.393, p = 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.
【저자키워드】 COVID-19, public health, pandemic, mental health, quarantine, Risk assessment, Psychological distress, 【초록키워드】 cross-sectional, children, COVID-19 pandemic, Sex, Intervention, Symptom, Health, Isolation, Logistic regression, age, Psychological, women, questionnaire, Analysis, close contact, Contact, Predictive, physical symptoms, significant difference, 95% CI, activities, measure, Sociodemographic, GHQ-12, variable, Prevent, Result, highest, performed, collected, include, calculated, conditions, variables, 【제목키워드】 Spain, Factor,