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Work–family interaction, self-perceived mental health and burnout in specialized physicians of Huelva (Spain): a study conducted during the SARS-CoV-2 Pandemic
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Orientador(es)
Resumo(s)
Background: The medical staff who work in specialized healthcare are among the professionals with a greater risk of presenting negative indicators of mental health. These professionals are exposed to numerous sources of stress that can have a negative influence on their personal life. Currently, SARS-CoV-2 poses an additional and relevant source of stress. The aim of this study was to identify the interactions between the work and family environments, as well as to analyze self-perceived mental health and burnout in physicians who, during the COVID-19 pandemic, carried out their jobs in public health in Huelva (Spain), also considering a series of sociodemographic variables. Methods: This is a descriptive, cross-sectional study. Information from 128 participants was collected using the SWING, MBI-HSS and GHQ-12 questionnaires, along with sociodemographic data and possible situations of contact with SARS-CoV-2. The data were analyzed, and correlations were established. Results: Most of the sample obtained a positive interaction result of work over family. Those who had been in contact with SARS-CoV-2 represented higher percentages of a positive result in GHQ-12, negative work–family interaction, burnout, emotional exhaustion and depersonalization. In general, the men showed a worse mental health state than women. Conclusions: The medical staff of Huelva who had been in contact with situations of SARS-CoV-2 in their work environment presented worse indicators of mental health and greater negative interaction of work over family than those who had not been in contact with these situations.
Descrição
Palavras-chave
Work–life balance Burnout Coronavirus infections Mental health Medical staff Physician Nursing Public health
Contexto Educativo
Citação
International Journal of Environmental Research and Public Health 19 (6): 3717 (2022)
Editora
MDPI