[Mood and sleep quality in Peruvian medical students during COVID-19 pandemic]

Concern About Returning to Face-to-Face Classes After the Pandemic: Importance of Emotional Intelligence and Stress Coping Strategies in Health Science Students

Introduction

The COVID-19 pandemic has brought a new normality, a scenario where different circumstances trigger emotions such as concern about returning to face-to-face classes, to which higher education students adapt. The objective was to identify how emotional intelligence and coping with stress explain students' concern about returning to face-to-face classes post COVID-19.

Methods

This was an explanatory and cross-sectional study. The sample by intention was 588 students from the Faculty of Health Sciences. The Rotterdam Emotional Intelligence Scale (REIS), the Stress Coping Questionnaire (CAE), and the ACAD-COVID-19 scale were used. For data collection, the instruments were digitized. Bivariate analysis with Chi-square and multivariate logistic regression was performed.

Results

The mean age of the participants was 19.72 years; most were single and without children (96.9% and 96.8%, respectively). 74.3% did not work, 80.8% were from the first years of study, and 52.7% belonged to nursing school. About 94.2% of participants indicated having adequate emotional intelligence, 91.3% expressed coping with adequate stress, and 67.2% indicated serious concern about returning to face-to-face classes. An association was found between gender (p=0.042), age (p=0.002), year of study (p=0.027), emotional intelligence (p=0.001), and coping with stress (p=0.001) with concern for return to face-to-face classes. Emotional intelligence identified as adequate (OR: 2.580; IC95%: 1.117-5.960) and coping with stress identified as adequate (OR: 2.008; IC95%: 1.018-3.960) are more likely to express serious concern about the return to face-to-face classes after the COVID-19 pandemic.

Conclusion

According to the results, the need to safeguard the psychological aspects of students is highlighted, especially emotional intelligence, as well as to improve coping with stress so that they can better manage concerns about returning to face-to-face classes. The educational authorities should implement strategies to improve these aspects in order to ensure the adequate return to face-to-face classes in new scenarios.

Association Between Family Support and Coping Strategies of People With Covid-19: A Cross-Sectional Study

Purpose

The study aimed to determine the association between family support and coping strategies of people diagnosed with COVID-19.

Methods

The study was analytical and cross-sectional. The sample consisted of 500 participants who were selected by non-probabilistic and snowball sampling and included residents of both sexes who belonged to the city of Lima, with a diagnosis of COVID-19, who lived with relatives, and who accepted to participate in the research. For data collection, the scales "family support" and "Coping and Adaptation Process-Coping Adaptation Processing Scale (CAPS)" were used. The technique used was the survey through the home visit and the questionnaire instrument. To measure the relationship of the study variables, binary logistic regression was chosen, considering coping strategies as the dependent variable and socio-demographic data and family support as independent variables.

Results

Of the 500 participants, 50.4% were women, and 49.6% were men. The results revealed that most participants presented a high capacity for coping strategies and high perceived family support (97.2% and 81%, respectively). In the bivariate analysis, socio-demographic aspects and family support and their dimensions were related to high or low capacity for coping strategies. Significant differences were verified between marital status (p=0.026), having children (p=0.037), family support (p=0.000), and its dimensions with coping strategies. Finally, the multivariate analysis found that people with COVID-19 who perceived high family support were 33.74 times (95% CI: 7266-156,739) more likely to have a high capacity for coping strategies.

Conclusion

Therefore, it is necessary to promote the development of parental and family support skills in the face of the health emergency caused by COVID-19.

The Worldwide Prevalence of Sleep Problems Among Medical Students by Problem, Country, and COVID-19 Status: a Systematic Review, Meta-analysis, and Meta-regression of 109 Studies Involving 59427 Participants

Abstract

Purpose of Review

Several studies have found that medical students have a significant prevalence of sleep issues, such as poor sleep quality, excessive daytime sleepiness, and inadequate sleep duration. The purpose of this review is to carefully evaluate the current research on sleep problems among medical students and, as a result, estimate the prevalence of these disturbances. The EMBASE, PsychINFO, PubMed/MEDLINE, ScienceDirect, Scopus, and Web of Science and retrieved article reference lists were rigorously searched and rated for quality. Random effects meta-analysis was performed to compute estimates.

Recent Findings

The current meta-analysis revealed an alarming estimated pooled prevalence of poor sleep quality (K = 95, N = 54894) of 55.64% [95%CI 51.45%; 59.74%]. A total of 33.32% [95%CI 26.52%; 40.91%] of the students (K = 28, N = 10122) experienced excessive sleepiness during the day. The average sleep duration for medical students (K = 35, N = 18052) is only 6.5 h per night [95%CI 6.24; 6.64], which suggests that at least 30% of them get less sleep than the recommended 7-9 h per night.

Summary

Sleep issues are common among medical students, making them a genuine problem. Future research should focus on prevention and intervention initiatives aimed at these groups.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40675-023-00258-5.

The correlation between caregiver burden with depression and quality of life among informal caregivers of hemodialysis and thalassemia patients during the COVID-19 pandemic: a cross-sectional study

BACKGROUND

Lifelong provision of care to chronically ill patients increase the risk of physical and mental diseases in informal caregivers and adversely affects their quality of life. The present study examined the correlation between caregiver burden, depression, and quality of life among the informal caregivers of thalassemia and hemodialysis patients during the COVID-19 pandemic in southeastern Iran.

METHODS

This cross-sectional correlational study used convenience sampling to select 200 informal caregivers involved in providing direct care for patients undergoing hemodialysis (n = 70) and patients with thalassemia (130) for at least 6 months. A demographic questionnaire, Beck's Depression Inventory (BDI), the Quality-Of-Life Questionnaire (SF-36), and the Zarit Burden Interview were used to collect data in 2021. The data were analyzed with SPSS software (version 19) using frequency, percentage, independent samples t-test, ANOVA, and multivariate regression analysis.

RESULTS

Most of the informal caregivers of the thalassemia and hemodialysis patients (58% and 43%) reported moderate levels of caregiver burden. There were significant correlations between the caregiver burden and depression (P < 0.0001) and between the caregiver burden and the quality of life (P < 0.009). The level of depression in informal caregivers of patients undergoing hemodialysis was higher than that of the informal caregivers of patients with thalassemia, but the quality of life in the informal caregivers of the patient's undergoing hemodialysis was higher than that of the informal caregivers of the patients with thalassemia.

CONCLUSION

Considering the significant correlations between caregiver burden, depression, and quality of life in this study, healthcare providers are recommended to develop educational and supportive interventions to meet informal caregivers' needs, mitigate their emotional distress, fears, and concerns, and prevent caregiver burden in times of greater uncertainty.

Sociodemographic Aspects and Healthy Behaviors Associated With Perceived Life Satisfaction in Health Professionals

BACKGROUND

Life satisfaction is a determining factor for the improvement of mental and physical health. Health care workers are a vulnerable population to suffer alterations in the factors that affect life satisfaction. Determining the influence of these factors on quality of life is important for their proper management.

OBJECTIVE

To examine sociodemographic factors and healthy behaviors influencing life satisfaction in Peruvian professionals.

METHODS

A cross-sectional study was conducted with 506 health care workers, who had a mean age of 40.34 years (SD = 10.39). A sociodemographic questionnaire, sleep quality, physical activity, eating habits, and life satisfaction were used. A regression model was fitted with the life satisfaction variable as the dependent variable.

RESULTS

In multivariable analysis, age (β = -.938, P < .01) and perception of poor health status (β = -4.743, P < .001) were found to be associated with lower life satisfaction. On the other hand, higher university education level (β = 1.667, P < .001), absence of smoking (β = 3.202, P < .01), absence of depressive symptoms (β = 3.390, P < .001), interest in daily activities (β = 3.503, P < .05), good sleep quality (β = 1.027, P < .01), a high frequency of physical activity (β = 1.056, P < .01), and healthy eating are variables associated with higher life satisfaction.

CONCLUSION

Sociodemographic aspects such as age and the perception of poor health are associated with lower life satisfaction. On the other hand, healthy behaviors such as absence of smoking, absence of depressive symptoms, interest in daily activities, good quality of sleep, high frequency of physical activity, and a healthy diet were associated with higher life satisfaction.

Food insecurity associated with self-reported mental health outcomes in Peruvian households during the COVID-19 pandemic

Background

The global pandemic of COVID-19 and the social distancing efforts implemented worldwide to limit its spread have disrupted the economy, increased food insecurity, and mental health problems.

Objectives

The aim of this study was to determine the association between food insecurity and mental health outcomes (stress, depression, and anxiety) in Peruvian households during the COVID-19 pandemic.

Materials and methods

A cross-sectional investigation was conducted with 525 participants of both sexes (68% women), over 18 years of age and from the three geographic regions of Peru: Coast (54.9%), Highlands (28.4%), and Jungle (16.8%). The data were collected during the year 2021, between July 6 and September 22 through a self-administered online survey designed to assess socio-demographic, socioeconomic, food insecurity, and mental health outcomes (depression, anxiety, and stress).

Results

The majority of households (71.4%) experienced some degree of food insecurity. Mild food insecurity was the most frequent, affecting 49.1%, followed by moderate 15.4%, and severe 6.9%. Regarding mental health outcomes, 24.8% manifested depression, 26.7% anxiety, and 15.3% stress. With respect to the association between the level of food insecurity and anxiety, this was highly significant (p < 0.01). Households with mild, moderate and severe food insecurity are 2.04, 4.5, and 10.44 times, respectively, more likely to have moderate-severe anxiety. On the other hand, the mild food insecurity was not associated with moderate-severe depression. In contrast, households with moderate and severe food insecurity are 2.8 and 5.7 times, respectively, more likely to have moderate-severe depression. Finally, households with moderate food insecurity are 5.9 times more likely to have moderate-severe stress, and households with severe food insecurity are 8.5 times more likely to have moderate-severe stress, both having a highly significant association (p < 0.01).

Conclusion

In conclusion, during the second wave of the COVID-19 pandemic in Peru, household food insecurity was independently associated with worse mental health outcomes. Monitoring of both food insecurity and mental health will be important as the COVID-19 pandemic continues.

Development and validation of mathematical nomogram for predicting the risk of poor sleep quality among medical students

Background

Despite the increasing prevalence of poor sleep quality among medical students, only few studies have identified the factors associated with it sing methods from epidemiological surveys. Predicting poor sleep quality is critical for ensuring medical Students' good physical and mental health. The aim of this study was to develop a comprehensive visual predictive nomogram for predicting the risk of poor sleep quality in medical students.

Methods

We investigated medical Students' association with poor sleep quality at JiTang College of North China University of Science and Technology through a cross-sectional study. A total of 5,140 medical students were randomized into a training cohort (75%) and a validation cohort (25%). Univariate and multivariate logistic regression models were used to explore the factors associated with poor sleep quality. A nomogram was constructed to predict the individual risk of poor sleep quality among the medical students studied.

Results

31.9% of medical students in the study reported poor sleep quality. We performed multivariate logistic analysis and obtained the final model, which confirmed the risk and protective factors of poor sleep quality (p < 0.05). Protective factors included the absence of physical discomfort (OR = 0.638, 95% CI: 0.546-0.745). Risk factors included current drinking (OR = 0.638, 95% CI: 0.546∼0.745), heavy study stress (OR = 2.753, 95% CI: 1.456∼5.631), very heavy study stress (OR = 3.182, 95% CI: 1.606∼6.760), depressive symptoms (OR = 4.305, 95% CI: 3.581∼5.180), and anxiety symptoms (OR = 1.808, 95% CI: 1.497∼2.183). The area under the ROC curve for the training set is 0.776 and the area under the ROC curve for the validation set is 0.770, which indicates that our model has good stability and prediction accuracy. Decision curve analysis and calibration curves demonstrate the clinical usefulness of the predictive nomograms.

Conclusion

Our nomogram helps predict the risk of poor sleep quality among medical students. The nomogram used includes the five factors of drinking, study stress, recent physical discomfort, depressive symptoms, and anxiety symptoms. The model has good performance and can be used for further research on and the management of the sleep quality of medical students.

Effectiveness of mindful walking intervention in nature on sleep quality and mood among university student during Covid-19: A randomised control study

OBJECTIVE

The aim of this project was to conduct a randomised control study to examine whether outdoor mindful walking in nature can effectively improve university students' sleep quality, mood, and mindfulness during the lockdown of Covid-19 pandemic in the U.K.

METHODS

Participants were measured at T₀ (pre-study baseline), T₁ (pre-intervention), T₂ (post-intervention), and T₃ (follow-up). A total of 104 participants (female = 94) who were experiencing sleep difficulties were randomly allocated to either an experimental (i.e., nature) or control (i.e., urban) walking environments. Participants in each walking condition independently undertook a daily 35-minute walk for a week (7 days). Subjective sleep quality, total mood disturbance, mindfulness, and degree of nature, and participants' perspectives and suggestions about the intervention, were collected.

RESULTS

Findings suggest that both groups exhibited significant improvements on participant's trait mindfulness, sleep quality and mood after the intervention. However, mindful walking in nature did not bring additional mental health benefits to participants than those who walked in urban environment. Participants reflected their perspectives about the intervention, which will assist with further intervention development.

CONCLUSIONS

Findings contribute to the evidence base for the effectiveness of outdoor mindful walking interventions on mental health. Especially these findings add new knowledge of how mindful walking outdoors reduces university students' mood disturbances and improves their sleep quality and mindfulness level during the pandemic.

Depression Associated with Caregiver Quality of Life in Post-COVID-19 Patients in Two Regions of Peru

Due to COVID-19, the workload experienced by caregivers has increased markedly which has led them to experience fatigue, anxiety and depression. This study aims to determine the relationship between quality of life and depression in caregivers of post-COVID-19 patients in two regions of Peru. In a cross-sectional analytical study, the sample was non-probabilistic and by snowball, and consisted of 730 caregivers, to whom the questionnaires "Modified Betty Ferell Quality of Life" and the "Beck Depression Inventory" were applied. It was determined that being a male caregiver (OR: 2.119; 95% CI: 1.332-3.369) was associated with a good quality of life. On the other hand, caregivers who had children (OR: 0.391; 95% CI: 0.227-0.675), were vaccinated against COVID-19 (OR: 0.432; 95% CI: 0.250-0.744), were immediate family members (OR: 0.298; 95% CI: 0.117-0.761) and had high depression (OR: 0.189; 95% CI: 0.073-0.490) were associated with poor quality of life. The results of this study allow us to conclude the association between depression and poor quality of life in caregivers of these patients so it is necessary to monitor the mental health of caregivers, and to develop adaptation strategies to pandemic conditions.

Lifestyle, Physical Activity and Dietary Habits of Medical Students of Wroclaw Medical University during the COVID-19 Pandemic

The new disease COVID-19, induced by SARS-CoV-2, causes acute respiratory infection. Many countries, including Poland, began to set a variety of different restrictions to reduce the spread of the virus. Most students had problems with online lessons. The study was conducted among second year medicine students of the Medical University of Wroclaw, and after the entire process of verification 200 respondents were accepted. The research consisted of completing the same anonymous online questionnaires twice in March and October 2020. This finally allowed for a critical assessment of the impact of the pandemic and its restrictions on the students’ daily lives. During the online classes, low levels of physical activity persisted (p = 0.718), whereas time spent sitting increased (p < 0.001). Despite positive changes in declared snacking (p = 0.061), we observed significant drops in the index of healthy diet (p = 0.001) and nutritional knowledge (p < 0.001) as well as an increase in the consumption of fast-food (p < 0.001) and energy drinks (p = 0.019). Reduced nutritional knowledge can cause a decrease in attention to healthy food preparation and much more frequent consumption of fast-food.

Asociación entre alteraciones en el sueño y problemas de salud mental en los estudiantes de Medicina durante la pandemia de la COVID-19

Introduction

Medical students are a population vulnerable to poor sleep quality and sleep deprivation; these problems were accentuated during the COVID-19 pandemic. The objective was to evaluate the association between sleep disturbances and the presence of depression and anxiety in medical students during the pandemic.

Materials and methods

Cross-sectional, analytical study in medical students of a private university in Peru. Data were collected from May 22 to June 14, 2020, after 3 months of mandatory social isolation. The Patient Health Questionnaire (PHQ-9; ≥ 10), the Generalized Anxiety Disorder (GAD-7; ≥ 10) scale and the Insomnia Severity Index (ISI; ≥ 8) were used to assess depression, anxiety and insomnia, respectively. Poisson regressions with robust variance were used to calculate prevalence ratios.

Results

The prevalence of depression, anxiety and insomnia was 28.5%, 29.5% and 60.1% respectively. It was found that those who had short sleep (RPa: 1.40, CI: 1.05-1.87, p: 0.024), who slept after 2:00 hours (RPa: 2.24, CI: 1.31-3.83, p: 0.003) and who presented insomnia (RPa: 7.12, CI: 3.70-13.73, p: < 0.001) had a higher prevalence of anxiety. Likewise, those who slept after 2:00 hours (RPa: 2.13, CI: 1.24-3.64, p: 0.006) and those who presented insomnia (RP: 8.82, CI: 4.17-18.68, p: < 0.001) had a higher prevalence of depression.

Conclusions

Short sleep, bedtime and insomnia are factors associated with the prevalence of depression and anxiety.