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1.
Braz. J. Psychiatry (São Paulo, 1999, Impr.) ; 43(5): 494-503, Sept.-Oct. 2021. tab
Article in English | LILACS | ID: biblio-1345466

ABSTRACT

Objective: The mental health problems and perceived needs of healthcare workers involved with coronavirus disease (COVID-19) may vary due to individual and contextual characteristics. The objective of this study was to evaluate healthcare workers' mental health problems during the common COVID-19 exposure scenario in Mexico, comparing those on the frontline with other healthcare workers according to gender and profession, determining the main risk factors for the most frequent mental health problems. Methods: A cross-sectional online study was conducted with a non-probabilistic sample of 5,938 Mexican healthcare workers who completed brief screening measures of mental health problems and ad hoc questions about sociodemographic professional characteristics, conditions related to increased risk of COVID-19 infection, life stressors during the COVID-19 emergency, and perceived need to cope with COVID-19. Results: The identified mental health problems were insomnia, depression, and posttraumatic stress disorder (PTSD), all of which were more frequent in frontline healthcare workers (52.1, 37.7, and 37.5%, respectively) and women (47.1, 33.0 %, and 16.3%, respectively). A lack of rest time was the main risk factor for insomnia (OR = 3.1, 95%CI 2.6-3.7, p ≤ 0.0001). Mourning the death of friends or loved ones due to COVID-19 was the main risk factor for depression (OR = 2.2, 95%CI 1.8-2.7, p ≤ 0.0001), and personal COVID-19 status was the main risk factor for PTSD (OR = 2.2, 95%CI 1.7-2.9, p ≤ 0.0001). Conclusion: The most frequent mental health problems during the common exposure scenario for COVID-19 in Mexico included the short-term psychological consequences of intense adversity. A comprehensive strategy for preventing mental health problems should focus on individuals with cumulative vulnerability and specific risk factors.


Subject(s)
Humans , Female , Mental Health , COVID-19 , Anxiety , Disease Outbreaks , Cross-Sectional Studies , Health Personnel , Depression/epidemiology , SARS-CoV-2
2.
Braz. J. Psychiatry (São Paulo, 1999, Impr.) ; 36(3): 227-232, Jul-Sep/2014. tab, graf
Article in English | LILACS | ID: lil-718437

ABSTRACT

Objective: Schizophrenia is a complex psychiatric disorder, characterized by disturbed patterns of thought and affecting 0.3-2.0% of the world population. Previously, the multidrug resistance 1 (MDR1) gene has been associated with schizophrenia in treatment response studies in psychotic patients. The aim of this study was to determine the association between MDR1 gene polymorphisms and clinical characteristics in patients with schizophrenia. Methods: Positive and negative symptoms of schizophrenia were assessed with the Scale for the Assessment of Negative Symptoms (SANS) and the Scale for the Assessment of Positive Symptoms (SAPS) in 158 Mexican patients with schizophrenia. Analyses of MDR1 gene polymorphisms were performed using TaqMan technology. A multivariate ANOVA was performed with MDR1 polymorphisms and gender as independent variables. Results: Males with the G/G genotype of MDR1 rs2032582 presented significantly higher levels of delusions (p = 0.02). When comparing female vs. male groups, the difference was statistically significant (p = 0.0003). Analyses of the MDR1 gene rs1045642 variant showed no significant differences. Conclusion: Our findings suggest that male carriers of the G allele of variant rs2032582 exhibit greater severity of delusions; however, these results should be taken as preliminary, and replication studies in other populations of different ethnic origins are required to confirm these findings. .


Subject(s)
Adolescent , Adult , Female , Humans , Male , Middle Aged , Young Adult , Genetic Association Studies , ATP Binding Cassette Transporter, Subfamily B, Member 1/genetics , Polymorphism, Single Nucleotide/genetics , Schizophrenia/genetics , Analysis of Variance , Gene Frequency , Genotype , Mexico , Polymerase Chain Reaction , Severity of Illness Index , Sex Factors
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