Stigmatizing Attitudes towards Mental Illness among University Students: a Comparative Study with the General Population.

OBJECTIVE: The aim of this study is to compare stigmatizing attitudes, reported and intended behavior, and knowledge of mental illness between university students and the general population. METHODS: An online cross-sectional observational study was conducted. The survey included socio-demographic data and validated stigma questionnaires (AQ-27, RIBS, and MAKS). Descriptive, bivariate analyses and multiple regression modeling were employed to analyze the data. RESULTS: A total of 506 participants completed the survey, including 226 (44.7%) university students (61.1% women) and 280 (55.3%) individuals from the general population (69.3% women). For both groups, women and individuals who had lived with someone with mental health problems exhibited more positive attitudes (p < 0.05). University students reported greater knowledge of mental illness (p < 0.05) than the general population. After controlling for covariates, university students only scored higher than the general population in the blame factor of AQ-27 (p < 0.05). Additionally, older participants from both groups exhibited higher levels of stigmatizing attitudes compared to those of a younger age. CONCLUSION: These findings suggest that university students exhibit similar levels of stigmatizing attitudes to the general population. Among both groups, female sex, older age, previous contact with individuals with mental illness, and greater knowledge of mental health are all associated with less stigma toward people with mental illness. Tailored interventions grounded in contact with mental illness have the potential to help reduce stigmatizing attitudes within both groups.

Lifestyle predictors of depression and anxiety during COVID-19: a machine learning approach.

INTRODUCTION: Recent research has suggested an increase in the global prevalence of psychiatric symptoms during the COVID-19 pandemic. This study aimed to assess whether lifestyle behaviors can predict the presence of depression and anxiety in the Brazilian general population, using a model developed in Spain. METHODS: A web survey was conducted during April-May 2020, which included the Short Multidimensional Inventory Lifestyle Evaluation (SMILE) scale, assessing lifestyle behaviors during the COVID-19 pandemic. Depression and anxiety were examined using the PHQ-2 and the GAD-7, respectively. Elastic net, random forest, and gradient tree boosting were used to develop predictive models. Each technique used a subset of the Spanish sample to train the models, which were then tested internally (vs. the remainder of the Spanish sample) and externally (vs. the full Brazilian sample), evaluating their effectiveness. RESULTS: The study sample included 22,562 individuals (19,069 from Brazil, and 3,493 from Spain). The models developed performed similarly and were equally effective in predicting depression and anxiety in both tests, with internal test AUC-ROC values of 0.85 (depression) and 0.86 (anxiety), and external test AUC-ROC values of 0.85 (depression) and 0.84 (anxiety). Meaning of life was the strongest predictor of depression, while sleep quality was the strongest predictor of anxiety during the COVID-19 epidemic. CONCLUSIONS: Specific lifestyle behaviors during the early COVID-19 epidemic successfully predicted the presence of depression and anxiety in a large Brazilian sample using machine learning models developed on a Spanish sample. Targeted interventions focused on promoting healthier lifestyles are encouraged.

Gender Differences in Psychological Stress Factors of Physical Therapy Degree Students in the COVID-19 Pandemic: A Cross-Sectional Study.

(1) Background: The aim of the study was to investigate how the COVID-19 pandemic impacted the mental health and quality of life of male and female physical therapy students at the European University of Madrid. (2) Methods: A cross-sectional online survey was conducted including a range of tests capturing different domains: 36-item Short Form Health Survey, six-item state version of the State-Trait Anxiety Inventory, Acceptance and Action Questionnaire, Three Items Loneliness Scale, four-item version of the Perceived Stress Scale, Beck Depression Inventory revised version, and Sleep Quality Numeric Rating Scale. (3) Results: A total of 151 students completed the study, consisting of 78 females and 73 males. Gender differences were observed on most of the domains evaluated. Female participants showed worse levels of general health perception, quality of life, depression symptoms, anxiety, stress, experiential avoidance and psychological inflexibility, sleep quality and loneliness compared to male physical therapy students. (4) Conclusions: The results of this study support the need of psychological interventions as preventive programs in situations such as COVID-19 pandemic. The aims of this study comprise of improving knowledge, awareness, and self-coping strategies or other psychological domains oriented to mitigate the effects of COVID-19 on mental health and health-related quality of life in university students, especially among female ones.

A "patient as educator" intervention: Reducing stigmatizing attitudes toward mental illness among medical students.

Introduction: This pre-post quasi-experimental pilot study aimed to assess the degree of stigma toward mental illness and whether a single, direct-contact "patient as educator" intervention with people with mental illness can reduce the degree of stigma among medical students. Methods: All second-year medical students from the University of Valencia were invited to voluntarily complete the Community Attitudes Toward the Mentally Ill (CAMI), Reported and Intended Behavior Scale (RIBS), and Mental Health Knowledge Scale (MAKS) questionnaires before and after participating in the formal medical psychology course. A "patient as educator" workshop with expert patients was organized in the middle of the semester. A total of 127 students completed the survey; 20 students participated in the workshop (workshop group), and the remaining 107 students only took the formal educational course, forming the control group. Results: At baseline, the groups were demographically matched and did not differ in the components of stigma or knowledge of mental illness. After the intervention, a greater reduction in the CAMI subscales of authoritarianism and social restriction was observed in the workshop group than in the control group. In the workshop group, scores for the benevolence subscale of the CAMI decreased more among women than men. In the control group, scores for the authoritarianism and benevolence subscales of the CAMI increased and decreased significantly more, respectively, in women than men. No significant changes were observed in scores for the RIBS at post-intervention in either group. Discussion: The results of this pilot study suggest that a brief, direct-contact intervention in addition to formal medical education may further help reduce stigmatizing attitudes during the first years of medical school.

Lifestyle predictors of depression and anxiety during COVID-19: a machine learning approach

Abstract Introduction Recent research has suggested an increase in the global prevalence of psychiatric symptoms during the COVID-19 pandemic. This study aimed to assess whether lifestyle behaviors can predict the presence of depression and anxiety in the Brazilian general population, using a model developed in Spain. Methods A web survey was conducted during April-May 2020, which included the Short Multidimensional Inventory Lifestyle Evaluation (SMILE) scale, assessing lifestyle behaviors during the COVID-19 pandemic. Depression and anxiety were examined using the PHQ-2 and the GAD-7, respectively. Elastic net, random forest, and gradient tree boosting were used to develop predictive models. Each technique used a subset of the Spanish sample to train the models, which were then tested internally (vs. the remainder of the Spanish sample) and externally (vs. the full Brazilian sample), evaluating their effectiveness. Results The study sample included 22,562 individuals (19,069 from Brazil, and 3,493 from Spain). The models developed performed similarly and were equally effective in predicting depression and anxiety in both tests, with internal test AUC-ROC values of 0.85 (depression) and 0.86 (anxiety), and external test AUC-ROC values of 0.85 (depression) and 0.84 (anxiety). Meaning of life was the strongest predictor of depression, while sleep quality was the strongest predictor of anxiety during the COVID-19 epidemic. Conclusions Specific lifestyle behaviors during the early COVID-19 epidemic successfully predicted the presence of depression and anxiety in a large Brazilian sample using machine learning models developed on a Spanish sample. Targeted interventions focused on promoting healthier lifestyles are encouraged.

Lifestyle changes and mental health during the COVID-19 pandemic: A repeated, cross-sectional web survey.

BACKGROUND: This study aimed to compare self-reported changes on lifestyle behaviors during two phases of the COVID-19 pandemic in Spain, and to evaluate clinical and sociodemographic factors associated with lifestyles. METHODS: Two cross-sectional web surveys were conducted during lockdown (April 15-May 15, 2020) and seven months later (November 16-December 16, 2020). Lifestyle behaviors were self-reported by a multidimensional scale (SMILE-C). Two separate samples of respondents were analyzed. A multivariate regression model was performed to evaluate the association of SMILE-C scores with demographic and clinical variables. RESULTS: The sample comprised, 3412 participants from the first survey (S1) and in the S1 and 3635 from the second (S2). SMILE-C score decreased across surveys (p < 0.001). The rates of positive screenings for depression and anxiety were similar between the surveys, whereas those for alcohol abuse decreased (p < 0.001). Most participants in S2 reported that their lifestyle had not changed compared to those before the pandemic. Variables independently associated with an unhealthier lifestyle were working as an essential worker, lower educational level, previous mental disease, worse self-rated health, totally/moderate changes on diet, sleep or social support, as well as positive screenings for alcohol abuse, anxiety and depression. LIMITATIONS: The cross-sectional design and recruitment by non-probabilistic methods limit inferring causality and the external validity of the results. CONCLUSIONS: Overall lifestyle worsened seven months after the lockdown in Spain. Several demographic and clinical factors were associated with lifestyle scores. The contribution of common mental disorders to unhealthier lifestyles should be considered in order to prevent the negative impact of the pandemic.

Lifestyle in Undergraduate Students and Demographically Matched Controls during the COVID-19 Pandemic in Spain.

Few studies have used a multidimensional approach to describe lifestyle changes among undergraduate students during the COVID-19 pandemic or have included controls. This study aimed to evaluate lifestyle behaviors and mental health of undergraduate students and compare them with an age and sex-matched control group. A cross-sectional web survey using snowball sampling was conducted several months after the beginning of COVID-19 pandemic in Spain. A sample of 221 students was recruited. The main outcome was the total SMILE-C score. Students showed a better SMILE-C score than controls (79.8 + 8.1 vs. 77.2 + 8.3; p < 0.001), although these differences disappeared after controlling for covariates. While groups did not differ in the screenings of depression and alcohol abuse, students reported lower rates of anxiety (28.5% vs. 37.1%; p = 0.042). A lower number of cohabitants, poorer self-perceived health and positive screening for depression and anxiety, or for depression only were independently associated (p < 0.05) with unhealthier lifestyles in both groups. History of mental illness and financial difficulties were predictors of unhealthier lifestyles for students, whereas totally/moderate changes in substance abuse and stress management (p < 0.05) were predictors for the members of the control group. Several months after the pandemic, undergraduate students and other young adults had similar lifestyles.

The assessment of lifestyle changes during the COVID-19 pandemic using a multidimensional scale.

INTRODUCTION: Healthy lifestyles are relevant to several diseases and to maintain individuals' mental health. Exposure to epidemics and confinement have been consistently associated with psychological consequences, but changes on lifestyle behaviours remain under-researched. MATERIALS AND METHODS: An online survey was conducted among the general population living in Spain during the COVID-19 home-isolation. In addition to demographic and clinical data, participants self-reported changes in seven lifestyle domains. The Short Multidimensional Inventory Lifestyle Evaluation was developed specifically to evaluate changes during the confinement (SMILE-C). RESULTS: A total of 1254 individuals completed the survey over the first week of data collection. The internal consistency of the SMILE-C to assess lifestyles during confinement was shown (Cronbach's Alpha=0.747). Most participants reported substantial changes on outdoor time (93.6%) and physical activity (70.2%). Moreover, about one third of subjects reported significant changes on stress management, social support, and restorative sleep. Several demographic and clinical factors were associated to lifestyle scores. In the multivariate model, those independently associated with a healthier lifestyle included substantial changes on stress management (p<0.001), social support (p=0.001) and outdoor time (p<0.001), amongst others. In contrast, being an essential worker (p=0.001), worse self-rated health (p<0.001), a positive screening for depression/anxiety (p<0.001), and substantial changes on diet/nutrition (p<0.001) and sleep (p<0.001) were all associated with poorer lifestyles. CONCLUSIONS: In this study, sizable proportions of participants reported meaningful changes in lifestyle behaviours during the COVID-19 pandemic in Spain. Moreover, the SMILE-C was sensitive to detect these changes and presented good initial psychometric properties. Further follow-up studies should collect relevant data to promote healthy lifestyles in pandemic times.

The assessment of lifestyle changes during the COVID-19 pandemic using a multidimensional scale.

Introduction: Healthy lifestyles are relevant to several diseases and to maintain individuals' mental health. Exposure to epidemics and confinement have been consistently associated with psychological consequences, but changes on lifestyle behaviours remain under-researched. Materials and Methods: An online survey was conducted among the general population living in Spain during the COVID-19 home-isolation. In addition to demographic and clinical data, participants self-reported changes in seven lifestyle domains. The Short Multidimensional Inventory Lifestyle Evaluation was developed specifically to evaluate changes during the confinement (SMILE-C). Results: A total of 1254 individuals completed the survey over the first week of data collection. The internal consistency of the SMILE-C to assess lifestyles during confinement was shown (Cronbach's Alpha = 0.747). Most participants reported substantial changes on outdoor time (93.6%) and physical activity (70.2%). Moreover, about one third of subjects reported significant changes on stress management, social support, and restorative sleep. Several demographic and clinical factors were associated to lifestyle scores. In the multivariate model, those independently associated with a healthier lifestyle included substantial changes on stress management (p < 0.001), social support (p = 0.001) and outdoor time (p < 0.001), amongst others. In contrast, being an essential worker (p = 0.001), worse self-rated health (p < 0.001), a positive screening for depression/anxiety (p < 0.001), and substantial changes on diet/nutrition (p < 0.001) and sleep (p < 0.001) were all associated with poorer lifestyles. Conclusions: In this study, sizable proportions of participants reported meaningful changes in lifestyle behaviours during the COVID-19 pandemic in Spain. Moreover, the SMILE-C was sensitive to detect these changes and presented good initial psychometric properties. Further follow-up studies should collect relevant data to promote healthy lifestyles in pandemic times.

Introducción: Los estilos de vida saludables son relevantes para diversas enfermedades, así como para mantener la salud mental de los individuos. La exposición a epidemias y confinamientos se ha asociado de manera consistente a consecuencias psicológicas, pero los cambios en los comportamientos del estilo de vida siguen sin investigarse. Materiales y métodos: Se realizó una encuesta online entre la población general residente en España durante el confinamiento domiciliario debido a COVID-19. Además de los datos demográficos y clínicos, los participantes auto-reportaron los cambios producidos en siete dominios del estilo de vida. Se desarrolló específicamente Short Multidimensional Inventory Lifestyle Evaluation (SMILE-C) para evaluar los cambios durante el confinamiento. Resultados: Un total de 1.254 individuos completaron la encuesta durante la primera semana de recabado de los datos. Se reflejó la consistencia interna de SMILE-C para evaluar los estilos de vida durante el confinamiento (alfa de Cronbach = 0,747). La mayoría de los participantes reportó cambios sustanciales en cuanto al tiempo al aire libre (93,6%) y a la actividad física (70,2%). Además, alrededor de un tercio de los sujetos reportó cambios significativos en cuanto a gestión del estrés, respaldo social y sueño reparador. Algunos factores demográficos y clínicos se asociaron a las puntuaciones del estilo de vida. En el modelo multivariante, aquellos factores asociados de manera independiente a un estilo de vida más saludable incluyeron cambios sustanciales en cuanto a gestión del estrés (p < 0,001), respaldo social (p = 0,001) y tiempo al aire libre (p < 0,001), entre otros. Por contra, los factores relacionados con ser un trabajador esencial (p = 0,001), peor salud auto-calificada (p < 0,001), cribado positivo de depresión/ansiedad (p < 0,001) y cambios sustanciales en la dieta/nutrición (p < 0,001) y sueño (p < 0,001) estuvieron asociados a peores estilos de vida. Conclusiones: En este estudio, proporciones considerables de participantes reportaron cambios significativos en los comportamientos del estilo de vida durante la pandemia por COVID-19 en España. Además, la escala SMILE-C fue sensible a la hora de detectar dichos cambios, y presentó buenas propiedades psicométricas iniciales. Los estudios de seguimiento futuros deberán recopilar datos relevantes para promover estilos de vida saludables en tiempos de pandemia.

Development and implementation of guidelines for the management of depression: a systematic review.

OBJECTIVE: To evaluate the development and implementation of clinical practice guidelines for the management of depression globally. METHODS: We conducted a systematic review of existing guidelines for the management of depression in adults with major depressive or bipolar disorder. For each identified guideline, we assessed compliance with measures of guideline development quality (such as transparency in guideline development processes and funding, multidisciplinary author group composition, systematic review of comparative efficacy research) and implementation (such as quality indicators). We compared guidelines from low- and middle-income countries with those from high-income countries. FINDINGS: We identified 82 national and 13 international clinical practice guidelines from 83 countries in 27 languages. Guideline development processes and funding sources were explicitly specified in a smaller proportion of guidelines from low- and middle-income countries (8/29; 28%) relative to high-income countries (35/58; 60%). Fewer guidelines (2/29; 7%) from low- and middle-income countries, relative to high-income countries (22/58; 38%), were authored by a multidisciplinary development group. A systematic review of comparative effectiveness was conducted in 31% (9/29) of low- and middle-income country guidelines versus 71% (41/58) of high-income country guidelines. Only 10% (3/29) of low- and middle-income country and 19% (11/58) of high-income country guidelines described plans to assess quality indicators or recommendation adherence. CONCLUSION: Globally, guideline implementation is inadequately planned, reported and measured. Narrowing disparities in the development and implementation of guidelines in low- and middle-income countries is a priority. Future guidelines should present strategies to implement recommendations and measure feasibility, cost-effectiveness and impact on health outcomes.

Depression, Anxiety, and Lifestyle Among Essential Workers: A Web Survey From Brazil and Spain During the COVID-19 Pandemic.

BACKGROUND: Essential workers have been shown to present a higher prevalence of positive screenings for anxiety and depression during the COVID-19 pandemic. Individuals from countries with socioeconomic inequalities may be at increased risk for mental health disorders. OBJECTIVE: We aimed to assess the prevalence and predictors of depression, anxiety, and their comorbidity among essential workers in Brazil and Spain during the COVID-19 pandemic. METHODS: A web survey was conducted between April and May 2020 in both countries. The main outcome was a positive screening for depression only, anxiety only, or both. Lifestyle was measured using a lifestyle multidimensional scale adapted for the COVID-19 pandemic (Short Multidimensional Inventory Lifestyle Evaluation-Confinement). A multinomial logistic regression model was performed to evaluate the factors associated with depression, anxiety, and the presence of both conditions. RESULTS: From the 22,786 individuals included in the web survey, 3745 self-reported to be essential workers. Overall, 8.3% (n=311), 11.6% (n=434), and 27.4% (n=1027) presented positive screenings for depression, anxiety, and both, respectively. After adjusting for confounding factors, the multinomial model showed that an unhealthy lifestyle increased the likelihood of depression (adjusted odds ratio [AOR] 4.00, 95% CI 2.72-5.87), anxiety (AOR 2.39, 95% CI 1.80-3.20), and both anxiety and depression (AOR 8.30, 95% CI 5.90-11.7). Living in Brazil was associated with increased odds of depression (AOR 2.89, 95% CI 2.07-4.06), anxiety (AOR 2.81, 95%CI 2.11-3.74), and both conditions (AOR 5.99, 95% CI 4.53-7.91). CONCLUSIONS: Interventions addressing lifestyle may be useful in dealing with symptoms of common mental disorders during the strain imposed among essential workers by the COVID-19 pandemic. Essential workers who live in middle-income countries with higher rates of inequality may face additional challenges. Ensuring equitable treatment and support may be an important challenge ahead, considering the possible syndemic effect of the social determinants of health.

Prevalence of depressive symptoms and suicidal ideation among Spanish medical students.

INTRODUCTION: Several international studies show high rates of depression and suicidal ideation in medical students. However, no specific data is available in Spanish students. The aim of this study is to determine the prevalence of depressive symptoms and suicidal ideation in the Faculty of Medicine of Valencia, as well as its relationship with other variables of interest. METHODS: In April 2018, all students enrolled in the Medical Degree of the University of Valencia were invited to complete the Beck Depression Inventory (BDI-II). The students participated voluntarily and the answers were anonymized. RESULTS: A total of 858 students (69.2% women) completed the survey (response rate of 44.7%). More than a third of the sample (39.1%) had depressive symptoms, of mild to severe intensity, while 15.8% of the students reported recent suicidal ideation. Significantly higher levels of depressive symptoms were found in women, as well as in those with a worse satisfaction with academic results, a greater perception of the need for psychological support due to recent mental health problems and in those who had ever consulted with health professionals for a mental health problem (29.4%). CONCLUSIONS: These results are consistent with the prevalence of depression in medical students from other countries and suggest comparative studies in other Spanish universities. Medical schools should incorporate interventions to provide students with tools that improve their mental health.

Perceptions of Digital Health Education Among European Medical Students: Mixed Methods Survey.

BACKGROUND: Digital health technologies hold promise to enhance patient-related outcomes, to support health care staff by reducing their workload, and to improve the coordination of care. As key users of digital health technologies, health care workers are crucial to enable a meaningful digital transformation of health care. Digital health literacy and digital skills should become prerequisite competencies for health professionals to facilitate the implementation and leverage the potential of digital technologies to improve health. OBJECTIVE: We aimed to assess European medical students' perceived knowledge and opinions toward digital health, the status of digital health implementation in medical education, and the students' most pressing needs. METHODS: The explanatory design of our mixed methods study was based on an online, anonymous, self-administered survey targeted toward European medical students. A linear regression analysis was used to identify the influence of the year of medical studies on the responses. Additional analysis was performed by grouping the responses by the self-evaluated frequency of eHealth technology use. Written responses to four qualitative questions in the survey were analyzed using an inductive approach. RESULTS: The survey received a total of 451 responses from 39 European countries, and there were respondents for every year of medical studies. The majority of respondents saw advantages in the use of digital health. While 40.6% (183/451) felt prepared to work in a digitized health care system, more than half (240/451, 53.2%) evaluated their eHealth skills as poor or very poor. Medical students considered lack of education to be the reason for this, with 84.9% (383/451) agreeing or strongly agreeing that more digital health education should be implemented in the medical curriculum. Students demanded introductory and specific eHealth courses covering data management, ethical aspects, legal frameworks, research and entrepreneurial opportunities, role in public health and health systems, communication skills, and practical training. The emphasis lay on tailoring learning to future job requirements and interprofessional education. CONCLUSIONS: This study shows a lack of digital health-related formats in medical education and a perceived lack of digital health literacy among European medical students. Our findings indicate a gap between the willingness of medical students to take an active role by becoming key players in the digital transformation of health care and the education that they receive through their faculties.

An Analysis of the Presence and Composition of OutLists at United States, Canadian, and European Medical Institutions.

Sexual and gender minority (SGM) medical students and physicians are exposed to bias in professional contexts. One strategy for promoting SGM visibility and inclusion within medicine is the development of institutional OutLists, which are online, opt-in lists of SGM-identified individuals affiliated with an academic institution. We present the first quantitative evaluation of publicly accessible OutLists at medical institutions in the United States, Canada, and Europe. Nineteen OutLists were identified in the United States; no OutLists were identified in other countries. All OutLists in the United States were identified at allopathic institutions with no institutional religious affiliation. Clinicians in high-prestige specialties and more senior clinicians were underrepresented on OutLists. A state-level measure of SGM equality predicted presence of OutLists within the state (odds ratio 1.429, p = .047) but was not associated with the total number of individuals on OutLists. Future research would benefit from incorporating qualitative methodologies to explore the effectiveness of OutLists and the individual experiences of participants in these lists.