University of Coimbra Institute for Legal Research

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From Passion to Abyss: The Mental Health of Athletes during COVID-19 Lockdown

Publication . Pitacho, Liliana; da Palma, Patrícia Jardim; Miguel Alves Ribeiro Correia, Pedro; Cordeiro, João Pedro

The outbreak and pandemic of COVID-19 forced people into extreme isolation and social distancing, with significant limitations on various activity sectors, including sports. This study aimed to assess the psychological health status of athletes during sports lockdown. Additionally, we intend to verify the mediating role of sleep disorders in stress perception and subjective happiness. Our sample was composed of 1492 Portuguese athletes from eight different team sports. During sports lockdown, athletes were found to have high stress levels and low subjective happiness levels and experience sleep disorders. Finally, these results conclude that sports lockdowns harm athletes’ psychological health and well-being. Pay cuts to athletes are an extra stress factor that exacerbate these adverse effects on psychological health. Finally, sleep is a mediator variable between stress perception and subjective happiness levels. This study’s significant contributions, limitations, and future directions are discussed in the conclusion.

2023-03-14Journal article

Open access

Dimensionality of the Causes of Churning: A Multivariate Statistical Analysis

Publication . Alexandra Chinita Pirrolas, Olga; Miguel Alves Ribeiro Correia, Pedro

The present study was conducted in Portugal and had, as its object of study, workers from Portuguese companies belonging to several sectors of activity. The main goal of this study was the identification of the dimensions related to the causes of churning and to analyse its applicability in the management of human resources to promote individual and corporate welfare. Its specific targets were (a) to make a sociographic characterisation of the workers; (b) to make their professional characterisation; (c) to analyse the perception workers had in relation to the selected dimensions under study. Through the gathering of data per questionnaire, a sample consisting of 801 answers was considered. First, we resorted to a multivariate statistical analysis through the application of an Exploratory Factor Analysis (EFA) that allowed for the selection of the most relevant dimensions, followed by a descriptive statistical analysis on the collected sample and used items. Finally, we resorted to a TwoStep Cluster analysis that allowed for the identification of two Clusters of workers with a differentiated probability for the occurrence of churning.

2023Journal article

Open access