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1.
Sustainability ; 15(6), 2023.
Article in English | Web of Science | ID: covidwho-2310002

ABSTRACT

The purpose of the study was to explore the works and existing scientific information in the databases on work stress during the COVID-19 pandemic. The specific objectives were: to determine the approaches addressed by research on work stress and to analyze the main results achieved. The study was of a documentary type, with a bibliographic design, framed in a systematic review. The articles indexed in the Web of Science and Scopus databases were reviewed, considering the keywords and search limits: work stress, pandemic and COVID-19, published between 2020 and 2022;obtaining 161 articles. The inclusion criteria were applied: original articles, dealing with the subject, in English and with open access;leaving a sample of 22 publications, presented according to a PRISMA diagram. The main approaches addressed were: work stress, working life and remote work;work stress in health workers;work stress in agricultural workers;job stress in restaurant workers;work stress in teaching workers;work stress in prison workers and work stress, depression and anxiety. The results reveal that the workers who experienced the greatest work stress were those in the health sector, considering the latent risk of contagion for being the front-line personnel in care. Consequently, it was determined that the impact of resilience and social support can help minimize this condition.

2.
REVISTA UNIVERSIDAD Y SOCIEDAD ; 14(3):775-783, 2022.
Article in Spanish | Web of Science | ID: covidwho-1965445

ABSTRACT

The study was based on the evaluation of the correlation between remote education and academic stress in Peruvian university students in times of the covid-19 pandemic. The methodology used considered that the study according to its type was basic, with a quantitative approach, a correlational level and a non-experimental design. The universe of study was made up of 230 students of the administration career of a Peruvian university. A probabilistic sampling was carried out, considering that the size of the population was known, resulting in a sample of 144 students. The survey was used as a technique and the questionnaire was used as a data collection instrument, of which two were made, the first for the remote education variable, with 27 questions related to the variable and the second for the academic stress variable, adapted according to the SISCO Inventory, also with 27 questions. In both questionnaires, the questions had 5 response options according to a Likert-type scale. The descriptive analysis of the results was performed by calculating absolute and relative frequencies. The data were subjected to the Kolmogorov-Smirnov test to determine their normality. The inferential analysis was performed using the Spearman's Rho statistic.

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