Search

Background: Resilience is a crucial factor in students' mental health, playing an important role in their successful adaptation to the academic environment. However, there is a lack of understanding about resilience and its associated factors in students from different undergraduate courses. This study aimed to describe the resilience profile of undergraduate students from various courses in Brazil and identify sociodemographic, economic, and academic factors associated with resilience., Methods: This study has data from a cross-sectional multicenter study involving undergraduate students from eight Federal Institutions of Higher Education in Minas Gerais, Brazil. The dependent variable was resilience, measured using the Connor-Davidson Resilience Scale (CD-RISC) 10-item version, with sociodemographic, economic, and academic factors considered independent variables. Data was collected virtually via a self-administered questionnaire between October 2021 and February 2022 (during the covid-19 pandemic). Independent samples t-tests and ANOVAs were conducted to compare resilience scores between independent variables, and Tukey's post-hoc test was performed when necessary. Multiple linear regression was performed to create three models., Results: 8,650 undergraduate students were included in this study. The average score on the resilience scale was 19.86 ± 8.15, with a normal distribution. The respondents ranged from 18 to 71 years old, averaging 23.9 ± 6.33. Being female, not having a religious belief, having low per capita family income, having had a decrease in the family income, not being heterosexual, or having the head of the family with a low education level were the main factors associated, individually, with low resilience scores in the sociodemographic and economic multiple linear regression model constructed. Being from linguistics, letters and arts courses, being enrolled in fewer subjects, or being from UFMG were the main factors associated, individually, with low resilience scores in the academic multiple linear regression model constructed., Conclusions: The study's findings revealed that sociodemographic, economic, and academic variables were significantly associated with resilience scores in undergraduates from Minas Gerais during the covid-19 pandemic. These findings can help universities develop target strategies to promote students' resilience and reduce the risk of poor mental health among this population., (© 2024. The Author(s).)

Objective: To evaluate the effects of replacing time spent in sedentary behavior (SB) with moderate to vigorous physical activity on sleep quality in young adults., Methods: Multicenter cross-sectional study, carried out with students enrolled in undergraduate courses at universities in Brazil. Sleep quality was assessed using a question of the World Health Organization Quality of Life (WHOQOL-brief) and classified as good or poor sleep quality. SB was evaluated by self-reported total sitting time, and the level of leisure-time PA was classified according to the intensity of moderate-intensity physical activity (MPA) and vigorous-intensity physical activity (VPA), which were assessed using a self-reported questionnaire. An isotemporal replacement logistic model was used to evaluate the effects of different SB, MPA, and VPA sessions on sleep quality., Results: A total of 8,059 study participants were evaluated, the majority had poor sleep quality (64.79%), were physically inactive (48.28%, defined as practicing < 150 min of MPA or < 75 min of VPA per week), and spent ≥ 9 h/day in SB (55.08%). The multivariate model showed an association between non-adherence to wake-based movement guidelines and poor sleep quality, where those with one altered behavior were 43% more likely to have poor sleep quality (OR:1.43;95%CI:1.27 to 1.60), while individuals with two altered behaviors were 97% more likely (OR:1.97;95%CI:1.73 to 2.24). In the isotemporal analysis, replacing MPA and VPA with equivalent time in SB increased the odds of poor sleep at all times assessed, with peaks of 56% for MPA and 68% for VPA., Conclusion: The results of the present study indicate that replacing SB with the same amount of MPA or VPA may reduce poor sleep quality., (© 2024. The Author(s).)

Background: Movement behaviours, such as sedentary behavior (SB) and physical inactivity, have become a public health issue due to their implications for physical and mental health. The literature indicates that the university environment influences the movement behaviors of university students, and the strategies adopted during the pandemic may have favored a decrease in the practice of physical activity and an increase in the time dedicated to SB in this population. We aimed to evaluate the association of SB and moderate to vigorous leisure-time physical activity (MVPA) with presence of symptoms of mental disorders during the COVID-19 pandemic., Methods: This is a multicenter survey conducted with undergraduate students from eight Brazilian universities between October 2021 and February 2022 using an online questionnaire. The outcome variable was symptoms of anxiety and depression, assessed by the Depression, Anxiety, and Stress Scale-21. SB was assessed by total sitting time, being that individuals with ≥ 9 h/day were classified with high SB. The practice of MVPA was evaluated based on weekly frequency, duration, and type of exercise. Subsequently, the ratio between the time spent in MVPA (minutes/day) and the time spent in SB (hours/day) was calculated, being considered as cutoff point was the practice of 2.5 min of MVPA for each sedentary hour. To assess the association between the outcome and explanatory variables, multivariable logistic regression was performed., Results: A total of 8,650 students participated in the study, with an average age of 23.9 years (SD: ± 6.34). In the multivariate analysis, the odds of anxiety symptoms [OR: 1.37 (95% CI: 1.24-1.50)] and depression [OR: 1.61 (95% CI: 1.47-1.77)] were higher in individuals with ≥ 9 h of SB per day. In the analysis of the relationship between MVPA and SB, not engaging in 2.5 min of MVPA per hour of SB increases the odds of anxiety symptoms [OR: 1.44 (95% CI: 1.31-1.58)] and depression [OR: 1.74 (95% CI: 1.59-1.92)]., Conclusion: The results suggest that SB is a risk factor associated with symptoms of anxiety and depression and that not engaging in MVPA exacerbates the negative effects of SB., (© 2024. The Author(s).)

Background: The university years are a critical period for young adults, as they are more exposed to obesogenic behaviors and experience stressful situations that compromise their mental health. This study aims to estimate the prevalence of anxiety and depression symptoms and evaluate the association between the combined occurrence of obesogenic behaviors among university students., Methods: A cross-sectional study was conducted on students from a public university in Brazil during the COVID-19 pandemic. Data were collected from July to August 2020 using an online questionnaire. The outcome variables (anxiety and depression symptoms) were assessed using the Depression, Anxiety and Stress Scale-21 (DASS-21). The co-occurrence of obesogenic behaviors was measured based on irregular consumption of fruits and vegetables, frequent consumption of ultra-processed foods, physical inactivity during leisure time, and sedentary behavior. A Venn diagram was used for the exploratory analysis. To verify the association between the outcome and explanatory variables, a directed acyclic graph model was constructed, and multivariate logistic regression was performed to calculate odds ratios (ORs) and 95% confidence intervals (95%CIs)., Results: A total of 1,353 students aged 18-24 years participated in this study. Symptoms of anxiety and depression were present in 46.1% and 54.6% of the participants, respectively. The most prevalent combination of obesogenic behaviors was frequent consumption of ultra-processed foods, physical inactivity during leisure time, and sedentary behavior (17.2%). The greater the number of simultaneous obesogenic behaviors, the higher the chance to present symptoms of anxiety [OR: 2.81 (95%CI: 1.77-4.46)] and depression [OR: 3.46 (95%CI: 2.20-5.43)]., Conclusion: These findings reinforce the need to take actions to promote mental health in the university environment in conjunction with programs to promote a healthy lifestyle and improve the physical and mental well-being of students., (© 2024. The Author(s).)

Objective: to evaluate the quality of life (QOL) and the presence of symptoms related to depression, anxiety, and stress among students in the healthcare field, in comparison to the period before the COVID-19 pandemic., Methods: A comparative cross-sectional research was conducted at a Brazilian public university. QOL was assessed using the WHOQOL-bref scale, while symptoms of depression, anxiety, and stress were evaluated using the DASS-21 scale. Descriptive and inferential analyses were employed to compare the two time periods., Results: A total of 355 students participated in this study. During the pandemic, there were significant increases in severe depression symptoms (15.1% versus 24.8%), moderate anxiety (18.3% versus 29.4%), and moderate stress (40.9% versus 53.8%) observed among the participants. Additionally, a significant reduction in QOL was noted, particularly in the domain of social relationships (65.2 versus 59.6, p-value 0.029)., Conclusion: The study highlights a deterioration in both the quality of life and the mental health of healthcare students during the COVID-19 pandemic.

Background: The university context plays an important role in the health-disease process since students are potentially vulnerable to obesogenic behaviors that can influence long-term health., Objective: To estimate the prevalence of and factors associated with the co-occurrence of obesogenic behaviors among university students., Design and Setting: This was a cross-sectional study at a Brazilian public university., Methods: This study was conducted with all university students in the first and second semesters of 2019 at Universidade Federal de Ouro Preto, Minas Gerais, Brazil. Data were collected between April and September 2019, using a self-administered questionnaire. The outcome was the co-occurrence of obesogenic behaviors, measured as the sum of three risk behaviors: inadequate eating practices, leisure-time physical inactivity, and sedentary behavior. A Venn diagram was used to evaluate the simultaneous occurrence of risk behaviors. Pearson's chi-square test and multivariate logistic regression were used for statistical analyses., Results: A total of 351 students participated in the study. Inadequate eating practices constituted the most prevalent isolated risk behavior (80.6%), which was also the most prevalent when combined with sedentary behavior (23.6%). University students aged 20 years or younger, with non-white skin color, poor self-rated health, and symptoms of depression had increased chances of simultaneous occurrence of obesogenic behaviors., Conclusion: These findings highlight the importance of developing and implementing actions to reduce combined obesogenic behaviors in the university environment. Institutions should focus on creating an environment that promotes health-protective behaviors such as physical activity and healthy eating.