Talavera Velasco, Beatriz

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First Name
Last Name
Talavera Velasco
Universidad Complutense de Madrid
Faculty / Institute
Psicología Social, Trabajo y Diferencial
Personalidad, Evaluación y Tratamiento Psicológico
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Now showing 1 - 2 of 2
  • Publication
    Occupational Stress in Spanish Police Officers: Validating the Effort-Reward Imbalance Questionnaire
    (MPDI, 2021-02-13) Luceño Moreno, Lourdes; Talavera Velasco, Beatriz; Jaén Díaz, Marian; Martín García, Jesús
    The Effort-Reward Imbalance Questionnaire (hereinafter, ERIQ) has been largely used worldwide to assess job stress, but it has not yet been applied in Spanish police. The objective of this study was to examine the construct validity and the internal consistency of the ERIQ in police officers. A cross-sectional study was carried out, using a nonprobability sampling (quota). A total of 217 Spanish police officers participated, 192 men (88.47%) and 25 women (11.53%). The mean age was 41 years (SD = 7.51). These police officers completed the ERIQ together with some other questionnaires (DECORE-21, MBI, GHQ and STAI) in order to provide evidence for validity based on the relationships to other constructs. A confirmatory factor analysis was performed and a matrix of correlations with the rest of constructs was created. The results showed an appropriate fit to the original model consisting of three scales. In addition, the scales of the ERIQ presented the expected relationship with the other constructs. The ERIQ is a valid instrument for assessing occupational stress in Spanish police officers and can improve the interventions in this professional group.
  • Publication
    Predictors of burnout in female nurses during the COVID-19 pandemic
    (Wiley, 2022-08-03) Luceño Moreno, Lourdes; Talavera Velasco, Beatriz; Martín García, Jesús
    Aim: The aim of this study was to evaluate the predictors of burnout in female nurses during the first wave of the COVID-19 pandemic. It also sought to evaluate the relationship between each of the variables studied (anxiety, depression, sociodemographic and COVID-19 variables) and the dimensions of the burnout. Background: One of the groups of health care workers worst affected by the COVID-19 crisis has been women working as nursing staff, due to the high percentage they account for at a global level and their direct contact with infected patients. Design: This was a cross-sectional, quantitative study. Methods: Four hundred forty-four Spanish female nurses from hospital and primary health care centres took part in the study. The data were obtained in 2020 by means of an online survey. Results: Symptoms of depression are a common predictor variable to all the dimensions of burnout, whereas symptoms of anxiety predict emotional exhaustion and depersonalization. Age and years of experience in the job predict depersonalization, whereas the probability of contracting the infection is a predictor variable of emotional exhaustion and personal accomplishment. Conclusion: Predictor variables should be considered in the creation of prevention and intervention plans to reduce the levels of burnout in female nurses.