Background: COVID-19 has created a rapid onset health crisis severely affecting different countries, such as Peru. This pandemic also involved social changes, such as the COVID-19 lockdown, which has had negative effects on different aspects of peoples’ mental health. For this reason, the main objective of this work is to establish a model that explains the effects of the COVID-19-lockdown period on the mental health of a population sample in Peru. Methods: In this sense, online questionnaires were carried out using the PHQ-9, GAD-7, and CPDI in 400 participants. To better explain the data, an ordinal logistic regression was carried out. Results: The model showed that the severity of stress due to COVID-19 is positively associated with the variables age (OR = 1.02; CI95 [1.01; 1.04]), depression (OR = 1.29; CI95 [1.14; 1.31]) and anxiety (OR = 1.49; CI95 [1.35; 1.66]), as well as with the presence of a deceased relative due to COVID-19 (OR = 3.53; CI95 [1.43; 8.82]). On the contrary, the presence of a family member who was hospitalized for COVID-19 is negatively correlated with COVID-19 related stress (OR = 0.30; CI95 [0.13; 0.69]). Conclusion: In conclusion, elderly people, having high levels of anxiety or depression, as well as having a deceased relative due to COVID-19 show higher levels of COVID-19 related stress. These factors play an important role in the intervention of future studies that plan to intervene in the mental health of the population affected by the COVID-19 lockdown.

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1. The coronavirus disease 2019 (COVID-19) has created a rapid global health crisis, involving different social changes, which brought negative effects in different aspects in the mental health of the population, like the COVID-19 lockdown. The majority of COVID-19 cases concentrate in the region of the Americas, being Peru one of the most affected countries in the region. For this reason, to investigate possible effects related to COVID-19 lockdown, the main objective of this work is to establish a statistical model that could explain through different components the COVID-19 related stress in a population after COVID-19 lockdown of Lima, Peru. In this sense, online questionnaires were carried out in 400 participants, where the values ​​of depressiveness, anxiousness and stress related to COVID-19 were evaluated. Other information related to the participant (e.g. gender, age, district, etc.) was collected through this electronic format. In order to explain the data, an ordinal logistic regression was carried out. From the information obtained, it was found that 35.50% of the participants showed mild stress and 9.30% showed severe stress due to COVID-19. The ordinal logistic regression model showed that the severity of stress due to COVID-19 is positive associated with the variables age, depressiveness and anxiousness, as well with the presence of a deceased relative due to COVID-19. On the other hand, the presence of a family member who was hospitalized for COVID-19 is negatively correlated to the stress produced by COVID-19. Therefore, the data shows that people with older age or who have lost relatives due to COVID-19 show higher levels of stress related to COVID-19. Additionally, participants with higher levels of anxiety and depression are more likely to produce higher levels of stress from COVID-19. These factors play an important role for the intervention of future studies that plan to intervene in the mental health of the population affected by the COVID-19 lockdown.

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