Tecnoestrés y su efecto sobre la productividad en estudiantes universitarios en tiempos de la COVID-19

En los últimos años, los estudiantes se han enfrentado a nuevas exigencias y requisitos tecnológicos y han tenido que destinar una mayor cantidad de tiempo a su aprendizaje. Estas nuevas exigencias académicas podrían causarles efectos negativos como el tecnoestrés. El tecnoestrés es un trastorno que implica una serie de respuestas que afectan al comportamiento y la conducta humana. Basándose en la Teoría del Ajuste Persona-Entorno, el objetivo de este estudio es determinar la existencia de tecnoestrés en los estudiantes universitarios y su efecto en su productividad individual. Para ello, se ha aplicado una encuesta en línea a estudiantes universitarios chilenos. Los resultados del análisis de ecuaciones estructurales permiten concluir que el tecnoestrés se intensifica en los estudiantes cuando los apoyos institucionales son insuficientes en un contexto de altas exigencias académicas en la integración de Tecnologías de Información y Comunicación en su currículo y que la falta de competencias en el uso de herramientas tecnológicas aumenta los niveles de tecnoestrés y disminuye su productividad.Alternate :In recent years, students have been confronted with new technological demands and requirements and have had to devote a significant amount of time to their learning. However, these new academic demands could cause them negative effects such as technostress. Technostress is a disorder that involves a series of responses that affect human behavior and conduct. Based on the Person-Environment Fit Theory, this study aims to determine the existence of technostress in university students and its effect on their individual productivity. For this purpose, an online survey was applied to Chilean university students. The results of the structural equation analysis allow us to conclude that technostress is intensified in students when institutional support is insufficient in a context of high academic demand in the integration of ICT in their curriculum and that the lack of competencies in the use of technological tools increases the levels of technostress and decreases their productivity.

Association of PTSD With Longitudinal COVID-19 Burden in a Mixed-Serostatus Cohort of Men and Women: Weathering the Storm.

OBJECTIVES: This study of people with HIV (PWH) and those without HIV conducted during the COVID-19 pandemic in the United States in 2020 examines the impact of posttraumatic stress disorder (PTSD) on COVID-19 burden, defined as pandemic-related disruptions. METHODS: Data consisted of survey responses on PTSD among participants (N = 2434) enrolled in the Multicenter AIDS Cohort Study (MACS) and the Women's Interagency HIV (WIHS) cohorts. Unadjusted and adjusted regression models were used to examine the association of PTSD with COVID-19 burden (overall and domain-specific burdens). Quasi-Poisson regression models were used to assess associations with the COVID-19 burden score and 2 domain-specific burdens: (1) changes in resources and (2) interruptions in health care. Analyses was adjusted for age, race/ethnicity, HIV serostatus, current smoking status, number of comorbidities, education, and study regions. RESULTS: Study participants were a median age of 58 (interquartile range, 52-65) years. In both bivariate and multivariable models, PTSD severity was associated with greater overall COVID-19 burden. PTSD severity was associated with the number of resource changes and number of interruptions in medical care. These findings were also consistent across cohorts (MACS/WIHS) and across HIV serostatus, suggesting a greater risk for COVID-19 burden with greater PTSD severity, which remained significant after controlling for covariates. CONCLUSIONS: This study builds on emerging literature demonstrating the impact of mental health on the burden and disruption associated with the COVID-19 pandemic, providing context specific to PWH. The ongoing pandemic requires structural and social interventions to decrease disruption to resources and health resource needs among these vulnerable populations.

COVID-19 Secondary Infections in ICU Patients and Prevention Control Measures: A Preliminary Prospective Multicenter Study.

The incidence of secondary infections in critically ill coronavirus disease 2019 (COVID-19) patients is worrisome. We investigated whether selective digestive decontamination (SDD) added to infection control measures during an intensive care unit (ICU) stay modified these infection rates. METHODS: A retrospective observational cohort study was carried out in four ICUs in Spain. All consecutive ventilated patients with a SARS-CoV-2 infection engaged in national infection control programs between 1 March and 10 December 2020 were investigated. Patients were grouped into two cohorts according to the site of ICU admission. Secondary relevant infections were included. Infection densities corresponding to ventilator-associated pneumonia (VAP), catheter bacteremia, secondary bacteremia, and multi-resistant germs were obtained as the number of events per 1000 days of exposure and were compared between SDD and non-SDD groups using Poisson regression. Factors that had an independent association with mortality were identified using multidimensional logistic analysis. RESULTS: There were 108 patients in the SDD cohort and 157 in the non-SDD cohort. Patients in the SDD cohort showed significantly lower rates (p < 0.001) of VAP (1.9 vs. 9.3 events per 1000 ventilation days) and MDR infections (0.57 vs. 2.28 events per 1000 ICU days) and a non-significant reduction in secondary bacteremia (0.6 vs. 1.41 events per 1000 ICU days) compared with those in the non-SDD cohort. Infections caused by MDR pathogens occurred in 5 patients in the SDD cohort and 21 patients in the non-SDD cohort (p = 0.006). Differences in mortality according to SDD were not found. CONCLUSION: The implementation of SDD in infection control programs significantly reduced the incidence of VAP and MDR infections in critically ill SARS-CoV-2 infected patients.

Exploring Resilience Among Black Women Living With HIV in the Southern United States: Findings From a Qualitative Study.

ABSTRACT: Black women living with HIV (WLWH) face individual and sociostructural challenges. Despite these challenges, many exemplify remarkable levels of resilience and coping. Yet, research on resilience and coping in this population is limited. Twenty Black WLWH in the Southern United States completed semi-structured interviews that explored challenges facing WLWH. We identified six themes related to resilience and coping: self-acceptance, disclosure, self-compassion, social support, will to live, and service. Of these, social support was a driving protective element and an essential component to building and sustaining resilience and coping. Women who experienced positive support often expressed a will to live as well as a desire to support other WLWH. Resilience and social support were characterized by patterns of reciprocity, in that they were mutually sustaining, stabilizing, and strengthening.

Prevalence of COVID-19-Related Social Disruptions and Effects on Psychosocial Health in a Mixed-Serostatus Cohort of Men and Women.

OBJECTIVES: This study describes prevention behavior and psychosocial health among people living with HIV (PLHIV) and HIV-negative people during the early wave of the coronavirus disease 2019 (COVID-19) pandemic in the United States. We assessed differences by HIV status and associations between social disruption and psychosocial health. DESIGN: A cross-sectional telephone/videoconference administered survey of 3411 PLHIV and HIV-negative participants in the Multicenter AIDS Cohort Study/WIHS Combined Cohort Study (MWCCS). METHODS: An instrument combining new and validated measures was developed to assess COVID-19 prevention efforts, social disruptions (loss of employment, childcare, health insurance, and financial supports), experiences of abuse, and psychosocial health. Interviews were performed between April and June 2020. Associations between social disruptions and psychosocial health were explored using multivariable logistic regression, adjusting for sociodemographics and HIV status. RESULTS: Almost all (97.4%) participants reported COVID-19 prevention behavior; 40.1% participants reported social disruptions, and 34.3% reported health care appointment disruption. Men living with HIV were more likely than HIV-negative men to experience social disruptions (40.6% vs. 32.9%; P < 0.01), whereas HIV-negative women were more likely than women with HIV to experience social disruptions (51.1% vs. 39.8%, P < 0.001). Participants who experienced ≥2 social disruptions had significantly higher odds of depression symptoms [aOR = 1.32; 95% confidence interval (CI): 1.12 to 1.56], anxiety (aOR = 1.63; 95% CI: 1.17 to 2.27), and social support dissatisfaction (aOR = 1.81; 95% CI: 1.26 to 2.60). CONCLUSIONS: This study builds on emerging literature demonstrating the psychosocial health impact related to the COVID-19 pandemic by providing context specific to PLHIV. The ongoing pandemic requires structural and social interventions to decrease social disruption and address psychosocial health needs among the most vulnerable populations.

COVID-19 symptoms and SARS-CoV-2 infection among people living with HIV in the US: the MACS/WIHS combined cohort study.

BACKGROUND: SARS-CoV-2 infection among People Living With HIV (PLWH) is not well-described. OBJECTIVE: To study COVID-19 symptoms and SARS-CoV-2 PCR-based swab testing among participants of the Multicenter AIDS Cohort Study (MACS) and Women's Interagency HIV Study (WIHS). METHODS: A telephone survey was collected April-June 30, 2020. Symptom and testing prevalence were explored. Multivariable logistic regression was used to examine the factors associated with SARS-CoV-2 positivity. RESULTS: The survey was completed by 3411 participants, including 2078 (61%) PLWH and 1333 HIV-seronegative (SN) participants from across the US. Thirteen percent (n = 441) were tested for SARS-CoV-2 infection (13.4% of PLWH vs 12.2% of SN). Among those tested, positivity was higher in PLWH than SN (11.2% vs 6.1%, p = 0.08). Reasons for not being tested included testing not being available (30% of participants) and not knowing where to get tested (16% of participants). Most symptoms reported since January 2020 were similar in PLWH and SN, including headache (23% vs. 24%), myalgias (19% vs 18%), shortness of breath (14% vs 13%), chills (12% vs 10%), fever (6% vs 6%) and loss of taste or smell (6% vs 7%). Among PLWH who tested positive for SARS-CoV-2 DNA, the most common symptoms were headache (71%), myalgia (68%), cough (68%) and chills (65%). In multivariable analysis among those tested, the odds of SARS-CoV-2 positivity were higher among PLWH than SN (aOR = 2.22 95%CI = 01.01-4.85, p = 0.046) and among those living with others versus living alone (aOR = 2.95 95%CI = 1.18-7.40). CONCLUSION: Prevalence and type of COVID-19 symptoms were similar in PLWH and SN. SARS-CoV-2 infection may be elevated among PLWH.