COVID-19 frontline healthcare workers (FHCW) are struggling to cope with challenges that threaten their wellbeing. We examine the frequency and predictors of the most frequent mental health problems (MHP) among FHCW during the first COVID-19 peak in Mexico, one of the most severely affected countries in terms of FHCW’s COVID-19 mortality. A cross-sectional survey was conducted between May 8 and August 18, 2020. A total of 47.5% of the sample (n = 2218) were FHCW. The most frequent MHP were insomnia, depression, posttraumatic stress symptoms, and health anxiety/somatization (whole sample: 45.7, 37.4, 33.9, and 21.3%; FHCW: 52.4, 43.4, 40.3 and 26.1, respectively). As compared to during the initial COVID-19 phase, depression and health anxiety/somatization symptoms as well as experiences of grieving due to COVID-19, personal COVID-19 status, and having relatives and close friends with COVID-19 were more frequent during the COVID-19 peak. Obesity, domestic violence, personal COVID-19 status, and grieving because of COVID-19 were included in regression models for main FHCW’s MHP during the COVID-19 peak. In conclusion, measures to decrease other country-level epidemics contributing to the likelihood of COVID-19 complications (obesity) and MHP (domestic violence) as well as FHCW´s probability of COVID-19 infection could safeguard not only their physical but also mental health.

El riesgo de contagio por el virus del SARS-CoV-2, causante de la COVID-19, inició en el mundo a finales del 2019 en Hubei, China. Para el momento de esta edición existían más de 176,480,226 personas diagnosticadas con la enfermedad y 3,825,240 fallecidas en el mundo. En México, se reporta una Tasa de Fatalidad por Caso del 9.4% (CFR por sus siglas en inglés). Referente a la COVID-19, revisiones sistemáticas en la literatura internacional y meta análisis han señalado la prevalencia de otra pandemia asociada a la COVID-19, se trata de los riesgos a la salud mental por el uso de sustancias psicoactivas y las diversas condiciones neurológicas actuales. De acuerdo con Lancet, 17% de 116 países habían referido la necesidad de atender tales condiciones de riesgo relacionadas con la aparición de la COVID-19, desde mediados del 2020.

The stability of delay discounting across time has been well-established. However, limited research has examined the stability of probability discounting, and no studies of the stability of effort discounting are available. The present study assessed the steady-state characteristics of delay, probability, and effort discounting tasks across time with hypothetical rewards in humans, as well as whether response characteristics suggested a common discounting equation. Participants completed delay, probability, and effort discounting tasks on three occasions. We found moderate relative stability of delay and probability tasks, and similar evidence for absolute stability across time for all tasks. The interclass correlations coefficient showed some correspondence across time points and tasks, and higher levels of between subject variability, especially for the effort discounting task, suggesting trait level variables has a stronger influence on performance than state level variables. Performance on the delay and probability tasks were moderately correlated and similar mathematical functions fit choice patterns on both tasks (hyperbolic), suggesting that delay and probability discounting processes shared some common elements. Lower correlations and different function fits suggested that effort discounting involves more unique features.

Objetivo. Estimar la prevalencia de la ideación suicida (IS) y su asociación con los determinantes sociales (DS) en la pobla­ción mexicana durante la pandemia de Covid-19. Material y métodos. Datos de la encuesta de Atención Psicológica a Distancia para la Salud Mental debido a la Contingencia por Covid-19 obtenidos durante 2020. La muestra fue de 79 665. Se realizaron modelos de regresión logística obteniendo razones de momios (RM) con intervalos de confianza del 95% (IC95%). Resultados. La prevalencia de IS fue de 17.1% (mujeres:18.8% y hombres: 14.4%). Principales DS asociados fueron: ser mujer (RM=1.11; IC95% 1.06,1.13), mujeres jóvenes (RM=1.30; IC95% 1.09,1.54), escolaridad (RM=1.89; IC95% 1.14,3.12), soltera(o) (RM= 1.31; IC95% 1.24,1.38), desempleo (RM= 2.33; IC95% 2.21,2.45), distanciamiento social (RM 1.81; IC95%1.68,1.96), vivir solo (RM 1.18; IC95% 1.10,1.27), pérdida de familiar por Covid-19 (RM= 1.41; IC95%1.30,1.54), tener un diagnóstico de depresión (RM= 5.72; IC95% 5.41,6.05), ser víctima de violencia física (RM=2.71; IC95% 2.49,2.95), consumo excesivo de alcohol (RM=1.68; IC95%1.58,1.79) y drogas (RM= 3.13; IC95% 2.88,3.41), y sospecha o diagnóstico de Covid-19 (RM=1.79; IC95% 1.67,1.89). Conclusiones. La prevalencia de IS durante la pandemia por Covid-19 fue elevada; se discute la relevancia de los DS estructurales e intermedios que influyen en la IS.

Background: The COVID-19 pandemic has created a public mental health crisis. Brief, valid electronic tools are required to evaluate mental health status, identify specific risk factors, and offer treatment when needed.Objective: To determine the construct validity, reliability, and measurement invariance of a brief screening tool for mental health symptoms by sex, loss of loved ones, personal COVID-19 status, and psychological care-seeking during the COVID-19 pandemic. Furthermore, the aim involved establishing a predictive pattern between the mental health variables.Method: A total sample of 27,320 Mexican participants, with a mean age of 32 years (SD = 12.24, range = 18–80), 67% women (n = 18,308), 23.10% with a loss of loved ones (n = 6,308), 18.3% with COVID-19 status (n = 5,005), and 18.40% seeking psychological care (n = 5,026), completed a questionnaire through a WebApp, containing socio-demographic data (sex, loss of loved ones, COVID-19 status, and psychological care-seeking) and the dimensions from the Posttraumatic Checklist, Depression-Generalized Anxiety Questionnaires, and Health Anxiety-Somatization scales. We used the confirmatory factor analysis (CFA: through maximum likelihood to continuous variable data, as an estimation method), the invariance measurement, and the structural equational modeling (SEM) to provide evidence of the construct validity of the scale and the valid path between variables. We analyzed the measurement invariance for each dimension by comparison groups to examine the extent to which the items showed comparable psychometric properties.Findings: The tool included eight dimensions: four posttraumatic stress symptoms -intrusion, avoidance, hyperactivation, and numbing, as well as depression, generalized anxiety, health anxiety, and somatization The tool’s multidimensionality, was confirmed through the CFA and SEM. The participants’ characteristics made it possible to describe the measurement invariance of scales because of the participants’ attributes. Additionally, our findings indicated that women reported high generalized anxiety, hyperactivation, and depression. Those who lost loved ones reported elevated levels of intrusion and health anxiety symptoms. Participants who reported having COVID-19 presented with high levels of generalized anxiety symptoms. Those who sought psychological care reported high levels of generalized anxiety, intrusion, hyperactivation, and health anxiety symptoms. Our findings also show that intrusion was predicted by the avoidance dimension, while health anxiety was predicted by the intrusion dimension. Generalized anxiety was predicted by the health anxiety and hyperactivation dimensions, and hyperactivation was predicted by the depression one. Depression and somatization were predicted by the health anxiety dimension. Last, numbing was predicted by the depression and avoidance dimensions.Discussion and Outlook: Our findings indicate that it was possible to validate the factor structure of posttraumatic stress symptoms and their relationship with depression, anxiety, and somatization, describing the specific bias as a function of sociodemographic COVID-19-related variables. We also describe the predictive pattern between the mental health variables. These mental health problems were identified in the community and primary health care scenarios through the CFA and the SEM, considering the PCL, depression, generalized anxiety, health anxiety, and somatization scales adapted during the COVID-19 pandemic. Therefore, future studies should describe the diagnosis of mental health disorders, assessing the cut-off points in the tool to discriminate between the presence and absence of conditions and mental health cut-off points. Community and primary care screening will lead to effective early interventions to reduce the mental health risks associated with the current pandemic.Limitations: Future studies should follow up on the results of this study and assess consistency with diagnoses of mental health disorders and evaluate the effect of remote psychological help. Moreover, in the future, researchers should monitor the process and the time that has elapsed between the occurrence of traumatic events and the development of posttraumatic stress and other mental health risks through brief electronic measurement tools such as those used in this study.

Developing effective learning strategies to strengthen mental health professionals’ capacities and deliver evidence-based interventions in their communities is urgent. We developed and evaluated an online training program for the Intervention Guide for Mental, Neurological and Substance Use Disorders in Non-specialized Health Settings. Nine hundred and seventy-five health professionals in Mexico were enrolled in the training program, during the period of social distancing brought about by the COVID-19 pandemic. Participants completed a pre-post online evaluation strategy including Knowledge screening, assessment of Learning Activities, and performance in Programmed-Simulated cases to evaluate knowledge and skills for the assessment, management, and follow-up of Mental, Neurological and Substance Use Disorders. We found that participants improved their knowledge and skills from training on the mhGAP online course. Notably we observed these positive results regardless of sex, profession, institution, or social vulnerability rating of participants, suggesting that this is a relevant training program for primary care staff. These results contribute to the Mental Health Gap Action Programme and advance the use of online teaching and evaluation technologies in this field.