Objective: To determine the prevalence and factors associated with depressive, anxious, and stress symptoms in medical students in Peru, during the second pandemic wave of COVID-19.Methods: We conducted an analytical cross-sectional study in 405 medical students from a university in northern Peru. The DASS-21 instrument was used to evaluate mental health outcomes (depression, anxiety, and stress), and to investigate their association with socio-educational characteristics.Results: We found a prevalence of depressive, anxious, and stress symptoms of 71.6% (95% CI: 66.94–75.95), 71.9% (95% CI: 67.2–76.2), and 62.7% (95% CI: 57.8–67.4); respectively. Students with eating behavior disorders had a higher prevalence of depressive symptoms (PR: 1.35), anxious symptoms (PR: 1.27), and stress symptoms (PR: 1.31). The prevalence of depressive symptoms (PR: 1.57), anxious symptoms (PR: 1.27), and stress symptoms (PR: 1.24) increased in students who did not report regular physical activity. In addition, having almost always academic exhaustion increased the prevalence of depressive symptoms (PR: 1.46), stress symptoms (PR: 1.72). On the contrary, the prevalence of depressive symptoms (PR: 0.79), anxious symptoms (PR: 0.73) and stress symptoms (PR: 0.82) decreased in male students. Students who reported sleeping 8 or more hours daily had a lower prevalence of stress symptoms (PR: 0.82).Conclusion: Symptoms of depression and anxiety occurred in 7 out of 10 students, and stress in 6 out of 10. Among the factors associated with the presence of anxiety, depression, and stress were eating behavior disorder and not regularly exercising. Periodic evaluations of mental symptomatology are required and counseling should be promoted in medical schools.

We aimed to determine the prevalence of depression, anxiety, and stress in university students in Paraguay during the COVID-19 pandemic. A cross-sectional study was conducted among 293 students from four universities in Paraguay in 2021. The DASS-21 mental health scale was used to measure the outcomes (depression, anxiety, and stress) and evaluate their association with socio-educational variables. A total of 77.1% of the participants were women and 136 (46.4%) were between 21 and 25 years old. The prevalence of depression, anxiety, and stress was 74.7%, 87.4%, and 57%, respectively. We found that being a woman and studying at a public university was positively associated with depression, anxiety, and stress. Receiving COVID-19 training increases the prevalence of mental health problems. In conclusion, high levels of anxiety, depression, and stress were found in university students during the COVID-19 pandemic. Being a woman, studying at a public university, and receiving training on COVID-19 were factors associated with a higher prevalence of presenting all the mental health problems evaluated. Furthermore, students aged 31 and over had a higher prevalence of depression and stress.

During the COVID-19 pandemic, university students have adopted measures that completely transformed their educational environment, and this has generated an increase in psychological stress. The present study aimed to identify the factors associated with anxiety, depression, and stress in students at a university in Peru during the COVID-19 pandemic in 2020. We conducted a cross-sectional analytical study in students in Lima, Peru. The DASS-21 scale was used to measure levels of depression, anxiety, and stress and associate it with socio-educational and COVID-19-related variables using generalized linear models with Poisson distribution, log link, and robust variance. Of 400 students surveyed, 19.2%, 23.2% and 17.2% of students presented depression, anxiety, and stress, respectively. The frequency of depression (PR = 0.91, 95%CI: 0.84–0.99), anxiety (PR = 0.90, 95%CI: 0.83–0.99) and stress (PR = 0.92, 95%CI: 0.86–0.99) was lower in women. The students of the engineering and business faculty presented a higher frequency of anxiety (PR = 1.11, 95%CI: 1.00–1.22). There was a greater frequency of presenting anxiety, depression and stress in students who worked in a different area of health or did not work. Our results suggest the importance of promoting mental health awareness campaigns in university students due to the constant academic load they have.

There is scant evidence on the impact of the COVID-19 pandemic on burnout in front-line military personnel and how working time may influence on this condition. We aimed to determine the association between working time and Burnout syndrome in military personnel. A cross-sectional study was conducted using secondary data among 576 military personnel from Lambayeque, Peru during the second wave of COVID-19 in 2021. We used the Maslach Burnout Inventory instrument to measure Burnout Syndrome. We evaluated its association with work time, measured as the number of months that the military member worked during the pandemic. The prevalence of burnout syndrome was 9%. Of the total sample, 39.1% and 10.3% presented depersonalization and emotional exhaustion, respectively. Military personnel working for more than 18 months had a 104% higher prevalence of Burnout syndrome (PR: 2.04, 95%CI: 1.02–4.10). Exposure to a prolonged work time during the pandemic increased the prevalence of Burnout syndrome in military personnel. This information helps to understand the potential effects of the pandemic on this population and provides insight into the time the military members would need rest to prevent Burnout syndrome.

Military personnel represent a frontline group exposed to multiple stressors. These factors have increased during the COVID-19 pandemic, predisposing to the development of suicidal risk (SR). Given the few studies conducted in this population, we evaluated the prevalence of SR and its associated factors during the health emergency. A cross-sectional survey study was conducted in person among 514 participants in Lambayeque, Peru in 2021. The outcome was SR, and the exposures were depression (PHQ-9), anxiety (GAD-7), PTSD (PCL-C), and other sociodemographic variables. The prevalence of SR was 14.0% (95% CI: 11.12–17.31%) and was significantly higher in people with a family history of mental health (PR: 2.16; 95% CI: 1.13–4.15) and in those with moderate clinical insomnia (PR: 2.21; 95% CI: 1.19–4.12). Military personnel with high resilience had a lower prevalence of SR (PR: 0.54, CI: 0.31–0.95). Anxiety was associated with a higher prevalence of SR (PR: 3.27; 95% CI: 1.76–6.10). Our findings show that at least 1 out of 10 military personnel are at risk of suicide. Special attention should be paid to the associated factors to develop interventions and reverse their consequences. These results may be useful in policy implementation and general statistics of SR in the local and regional context.

Type 2 diabetes mellitus is a health problem in low and middle-income countries like Peru. There are few published reports on trends and surveillance of this disease in the young Peruvian population. To describe the prevalence of type 2 diabetes mellitus in the population under 30 registered between 2005 and 2018 by the Ministry of Health of Peru. A descriptive study was conducted from a secondary analysis of the national registries of type 2 diabetes (ICD 10: E11) in the population under 30 treated in the health facilities of the Ministry of Health of Peru between 2015 and 2018. Described by department and geographic region, the prevalence of diabetes was adjusted for age and sex. In the period between 2005 and 2018, the national prevalence of type 2 diabetes mellitus increased from 2.1 to 22.1 cases/100 000 population. Women had a higher prevalence. Geographic regions with the highest prevalence increase were the Coast from 3.8 to 35.3/100 000 population and the Rainforest from 1.1 to 22.1/100 000 population. In the same period, the departments with the highest prevalence increase were Cajamarca (1733.3%) and Puno (1704.2%). Furthermore, Tumbes, Ica, Lambayeque, Callao, Lima, Loreto, and Madre de Dios reported prevalence rates over the national average. The prevalence of type 2 diabetes mellitus in the population under 30 and covered by the Peruvian Ministry of Health has increased more than ten times in the period between 2005 and 2018. The Coast and the cities with the highest population density had the highest prevalence. A greater focus to improve the strategies of risk factor control in the population under 30 is needed, including preventive actions on obesity and inadequate lifestyles, as well as a screening at a younger age for diabetes in the population at risk.