Selected article for: "logistic regression and multinomial logistic regression"

Author: Braule Pinto, André Luiz Carvalho; Serpa, Alexandre Luiz Oliveira; de Paula, Jonas Jardim; Costa, Danielle Souza; Robis, Kelly; Diaz, Alexandre Paim; Joaquim, Rui Mateus; da Silva, Antônio Geraldo; de Miranda, Débora Marques; Malloy-Diniz, Leandro Fernandes
Title: Increased risk of health professionals to feel traumatized during the COVID-19 pandemic
  • Cord-id: 4ntx2mg1
  • Document date: 2021_9_14
  • ID: 4ntx2mg1
    Snippet: Health professionals may be a vulnerable group to posttraumatic stress symptoms (PTSS) during the Coronavirus disease 2019 (COVID-19) pandemic. To investigate how health professionals who experienced a traumatic event are expressing PTSS and factors related to risk for higher PTSS symptomatology can inform how health professionals are facing their role in this crisis. This was an Internet cross-sectional survey. Participants were 49,767 Brazilian health professionals who have ever faced a trauma
    Document: Health professionals may be a vulnerable group to posttraumatic stress symptoms (PTSS) during the Coronavirus disease 2019 (COVID-19) pandemic. To investigate how health professionals who experienced a traumatic event are expressing PTSS and factors related to risk for higher PTSS symptomatology can inform how health professionals are facing their role in this crisis. This was an Internet cross-sectional survey. Participants were 49,767 Brazilian health professionals who have ever faced a traumatic event, which was about 25.9% of an initial sample of health professionals. PTSS symptoms were assessed using the Impact of Event Scale-Revised (IES-R) and latent profile analysis (LPA) explored subpopulations within participants based on their scores. Distinct profiles were compared for psychological distress (e.g., depression and anxiety) and quality of life. Multinomial logistic regression analysis was conducted to investigate the relationship between IES-R profiles and COVID-19 related experiences, thoughts, and perceptions. A two-profile model was the most appropriate for the IES-R data pointing out a group with a high level of PTSS (named high-PTSS; n = 10,401, 20.9%) and another expressing a low level of symptoms (named low-PTSS; n = 39,366, 79.1%). The high-PTSS profile demonstrated worse psychological scores (global psychological distress, somatization, depression, and anxiety) and worse quality of life (physical, psychological, social, and environmental) with moderate magnitudes. Small but significant predictors of the high-PTSS profile included sociodemographic characteristics and COVID-19 related experiences, thoughts, and perceptions. Most individuals who experienced a traumatic event were not in the high-PTSS profile. For those who were, however, psychological and quality of life measures were much worse. During the initial phase of the COVID-19 pandemic, several characteristics emerged as risks to report trauma.

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