Research quality assessment: Reliability and validation of the self-reported diagnosis of depression for participants of the Cohort of Universities of Minas Gerais (CUME project)

Affective responses in adults with severe obesity living or not with a mental disorder during two consecutive 6-min walking exercises

OBJECTIVES

Affective response during physical activity can partly determine its adherence in adults with severe obesity living or not with a mental disorder. This study examined affective responses to physical activity in adults with severe obesity living or not with a mental disorder.

MATERIALS AND METHODS

Two groups (24 adults with severe obesity, body mass index=44.4kg/m2, SD=6.5; 20 adults with severe obesity and mental disorders, body mass index=44.1kg/m2, SD=9.3) completed two 6-min walking exercises with affective responses assessed at each minute.

RESULTS

No between-group effect in the distance walked was found. Results showed a significant time effect indicating a decline in pleasure over time in both groups from the first to the second 6-min walking exercise No interaction effects were detected in both 6-min walking exercise.

DISCUSSION

Affective responses similarly declined in both groups indicating that obesity, rather than the presence of a mental disorder, is partly responsible for this decline.

Vaccination and food consumption: association with Post-Acute COVID-19 Syndrome in Brazilian adults (CUME Study)

Background

Post-Acute COVID-19 Syndrome (PACS) is an important sequalae of COVID-19. Then, our objective was to analyze the risk and protective factors for PACS in Brazilian adults participating in the Cohort of Universities of Minas Gerais (CUME Study), with emphasis on COVID-19 vaccination and food consumption.

Methods

In this sub-study, we included 2,065 participants of CUME Study who answered the baseline questionnaire in 2016 or 2018 or 2020 or 2022, and the follow-up COVID-19/PACS-specific questionnaire in 2023. PACS diagnosis was based on self-reporting of continuation or development of new symptoms 3 months after the initial SARS-CoV-2 infection, with these symptoms lasting for at least 2 months with no other explanation. To estimate the risk and protective factors for PACS, hierarchical multivariate statistical analysis was conducted using the Cox regression technique, producing two models: (1) focusing on consumption of macro and micronutrients; (2) focusing on consumption of food groups.

Results

After a median of 5.5 years of follow-up, 54.4% of the participants reported PACS. When we analyzed the consumption of macro and micronutrients, higher intake of proteins (HR: 1.36; 95% CI: 1.06-1.74-4th quartile) and lipids (HR: 1.23; 95% CI: 1.02-1.48-4th quartile) were risk factors for PACS. On the other hand, higher intake of vitamin C (HR: 0.78; 95% CI: 0.64-0.94-4th quartile), vitamin D (HR: 0.81; 95% CI: 0.67-0.99-4th quartile), and zinc (HR: 0.66; 95% CI: 0.52-0.83-4th quartile) were protective factors for the outcome (model 1). When we analyzed the consumption of food groups, higher intake of eggs (HR: 1.59; 95% CI: 1.34-1.89-4th quartile) increased the risk of PACS, whereas, respectively, higher and intermediate consumption of white meat (HR: 0.84; 95% CI: 0.71-1.00-4th quartile) and vegetables (HR: 0.81; 95% CI: 0.67-0.99-2nd quartile; HR: 0.81; 95% CI: 0.67-0.99-3rd quartile) decreased the risk of the outcome (model 2). In both models, pre-infection COVID-19 vaccination was a protective factor for PACS.

Conclusion

A healthy diet, with higher consumption of white meat, vegetables and specific micronutrients (vitamin C, vitamin D, zinc), in parallel with pre-infection COVID-19 vaccination, is essential to reduce the risk of PACS.

The role of education as a socialization mechanism in addressing the social gradient in depression treatment in Belgium (2004-2018)

Introduction

Previous studies have identified socioeconomic inequalities in the treatment of depression. However, these studies often take a narrow approach, focusing on a single treatment type and lacking a comprehensive theoretical framework. Moreover, income and education are frequently used interchangeably as indicators of disadvantage, without distinguishing their unique impacts. This study argues that relying solely on income to explain treatment inequalities is overly simplistic, suggesting instead that education influences treatment through two distinct pathways. The study's objectives are twofold: first, to investigate the presence of a social gradient in depression treatment, and second, to examine how this gradient is manifested.

Methods

This study utilizes data from the Belgian Health Interview Survey (BHIS), covering four successive waves: 2004, 2008, 2013, and 2018. The weighted data represent a sample of the adult Belgian population. Multinomial regression models are used to address the research aims, and models are plotted to detect trends over time using marginal means post-estimation.

Results

Findings indicate that income is not significantly related to depression treatment, while persistent educational inequalities in treatment are observed over time. Individuals with longer educational attainment are more likely to use psychotherapy alone or a combination treatment, whereas individuals with shorter educational attainment are more likely to use pharmaceutical treatment alone.

Discussion

This study demonstrates that education plays a critical role in fostering health-related knowledge and reasoning, making individuals with longer education more likely to engage in rational health behaviors and choose more effective treatments, even when these treatments require more effort and competencies. The findings underscore the importance of considering education as a key determinant of depression treatment inequalities.

Exploring Self-Reported Symptoms for Developing and Evaluating Digital Symptom Checkers for Polycystic Ovarian Syndrome, Endometriosis, and Uterine Fibroids: Exploratory Survey Study

BACKGROUND

Reproductive health conditions such as polycystic ovary syndrome (PCOS), endometriosis, and uterine fibroids pose a significant burden to people who menstruate, health care systems, and economies. Despite clinical guidelines for each condition, prolonged delays in diagnosis are commonplace, resulting in an increase to health care costs and risk of health complications. Symptom checker apps have the potential to significantly reduce time to diagnosis by providing users with health information and tools to better understand their symptoms.

OBJECTIVE

This study aims to study the prevalence and predictive importance of self-reported symptoms of PCOS, endometriosis, and uterine fibroids, and to explore the efficacy of 3 symptom checkers (developed by Flo Health UK Limited) that use self-reported symptoms when screening for each condition.

METHODS

Flo's symptom checkers were transcribed into separate web-based surveys for PCOS, endometriosis, and uterine fibroids, asking respondents their diagnostic history for each condition. Participants were aged 18 years or older, female, and living in the United States. Participants either had a confirmed diagnosis (condition-positive) and reported symptoms retrospectively as experienced at the time of diagnosis, or they had not been examined for the condition (condition-negative) and reported their current symptoms as experienced at the time of surveying. Symptom prevalence was calculated for each condition based on the surveys. Least absolute shrinkage and selection operator regression was used to identify key symptoms for predicting each condition. Participants' symptoms were processed by Flo's 3 single-condition symptom checkers, and accuracy was assessed by comparing the symptom checker output with the participant's condition designation.

RESULTS

A total of 1317 participants were included with 418, 476, and 423 in the PCOS, endometriosis, and uterine fibroids groups, respectively. The most prevalent symptoms for PCOS were fatigue (92%), feeling anxious (87%), BMI over 25 (84%); for endometriosis: very regular lower abdominal pain (89%), fatigue (85%), and referred lower back pain (80%); for uterine fibroids: fatigue (76%), bloating (69%), and changing sanitary protection often (68%). Symptoms of anovulation and amenorrhea (long periods, irregular cycles, and absent periods), and hyperandrogenism (excess hair on chin and abdomen, scalp hair loss, and BMI over 25) were identified as the most predictive symptoms for PCOS, while symptoms related to abdominal pain and the effect pain has on life, bleeding, and fertility complications were among the most predictive symptoms for both endometriosis and uterine fibroids. Symptom checker accuracy was 78%, 73%, and 75% for PCOS, endometriosis, and uterine fibroids, respectively.

CONCLUSIONS

This exploratory study characterizes self-reported symptomatology and identifies the key predictive symptoms for 3 reproductive conditions. The Flo symptom checkers were evaluated using real, self-reported symptoms and demonstrated high levels of accuracy.

Predicted vitamin D levels and risk of depression in the SUN Project: A prospective cohort study

The current study aimed to investigate the association between predicted vitamin D status and depression in a prospective Spanish cohort of university graduates. The SUN Project is a dynamic cohort study designed to investigate multiple aspects of health and lifestyle. Participants were asked to complete a comprehensive questionnaire consisting of 556 items, that included a validated food-frequency questionnaire. Participants initially free of depression were classified as incident cases if they reported a medical diagnosis of depression during follow-up. Serum vitamin D levels were predicted by a previously validated equation. Vitamin D deficiency was defined as vitamin D levels below 20 ng/mL. Cox models were used to estimate adjusted hazard ratios (HR) and 95% confidence intervals (95% CI). We included 15,175 Spanish university graduates [mean (SD) age: 36.9 year (11.5)] followed-up for a median of 12.7 years. Among 192,976 person-years of follow-up, we identified 753 incident cases of depression. Participants with vitamin D deficiency had a 27% higher risk of depression as compared to those with vitamin D sufficiency (HR: 1.27, 95% CI: 1.09-1.48; p = 0.002) after adjusting for potential confounders. Furthermore, a significant effect modification by female sex was observed with higher depression risks associated with vitamin D deficiency in women than in men (p for interaction = 0.034). In educated middle-aged Spanish adults, we observed a direct association between vitamin D deficiency and the risk of depression, that was stronger among women.

Total dietary antioxidant capacity and food groups and their relationship with the sleep time of Brazilian graduates (CUME Study)

To investigate the association between the Dietary Total Antioxidant Capacity (dTAC) and the Total Antioxidant Capacity of food groups (fgTAC) with the sleep time of Brazilian graduates participating in the Cohort of Universities of Minas Gerais (CUME Study). This cross-sectional study analyzed 6,387 graduates (2,052 men, 4,335 women, 35.3 ± 9.3 years old) from the CUME Study. Data was collected online, and dTAC was obtained by the Ferric Reduction Antioxidant Power (FRAP) method. Daily sleep time was classified as short sleep, normal sleep, and long sleep (≤6, 7-8, and ≥9 h, respectively). Multinomial logistic regression models were used to estimate the Odds Ratio (OR) and its 95% Confidence Interval (95% CI) between short sleep and long sleep with quartiles of dTAC and the fgTAC. Lower odds of short sleep was observed for the third quartile of dTAC and for fourth quartile of fgTAC of fruits, beans, and lentils, and for the third quartile of fgTAC of vegetables and oils and fats. Higher odds of short sleep for the fourth quartile of fgTAC of teas and coffees. For long sleep, inverse associations were observed for the fourth quartile of fgTAC of oilseeds and the third quartile of fgTAC of teas and coffees. Higher odds of long sleep were observed for the third quartile of artificial juices and sodas. We cannot independently assert an association between higher dTAC and sleep time. In turn, the associations between sleep time and fgTAC show the importance of the food matrix that antioxidants are inserted, requiring longitudinal studies to observe the direction of associations.

Walking away from depression: the mediating role of walking activity in depression impacting blood glucose levels of people with diabetes or prediabetes

Introduction

Depression can exacerbate diabetes by impairing self-care behaviors and increasing the risk of complication; however, the underlying mechanism is still unclear. Given the suggested associations between walking activity, depression status, and blood glucose levels this study explores the intricate relationship between depression and blood glucose (BG) control, with a focus on walking activity as a behavioral mediator. The purpose of this study is to examine walking activity's mediating role in depression's impact on BG levels, investigating and validating the non-linear association between BG levels and walking activity. This retrospective real-world study demonstrates the potential of regular walking activity as a simple and accessible intervention to mitigate the negative effects of depression on BG levels in T2D and prediabetes.

Methods

A cohort of 989 users with T2D and prediabetes, who regularly tracked their steps levels and BG levels for 12 months using the Dario digital health platform was evaluated. The mediating role of the monthly average number of steps on the relationship between the self-reported depression status and lagged monthly average BG was assessed. Additionally, the association between monthly walking activity and monthly average BG was tested using a piecewise linear mixed effects model.

Results

Users with self-reported depression demonstrated increased BG levels compared to users without depression (B=8.00, P=.01). The association between depression and monthly average number of steps was significant (B=-.27, P<.005) and monthly average number of steps significantly predicted the following months' average BG (B=-.81, P=.001), adjusting for depression. The monthly average number of steps significantly mediated the effect of self-reported depression on the following month's average BG (M=.22, P<.005). Further sensitivity analysis demonstrated model robustness over various periods. Finally, non-linear dynamics of walking activity over time was validated using unseen data showing a decrease in monthly average BG for users with over an average of 400 steps per day (B=-1.87, P<.01).

Discussion

This study shows how regular walking may reduce the negative impact of depression on BG levels in people with T2D. Our findings advocate for the integration of walking activity into treatment protocols as a cost-effective, accessible intervention strategy to improve glycemic management and depressive symptoms in this population.

The Relationship between Big Five Personality Traits and Depression in the German-Speaking D-A-CH Region Including an Investigation of Potential Moderators and Mediators

Considerable evidence links the "Big Five" personality traits (neuroticism, extroversion, conscientiousness, agreeableness, and openness) with depression. However, potential mediating and moderating factors are less well understood. We utilized data from a cross-sectional survey of 3065 German-speaking adults from the D-A-CH region to estimate multivariable-adjusted odds ratios and 95% confidence intervalsbetween personality traits and lifetime prevalence of depression (overall and stratified by sex and age). We further explored proportions mediated by psychosocial factors optimism, empathy, perspective-taking, work-life balance, and interpersonal trust. High levels of neuroticism were associated with more than two-fold higher odds of depression, whereas higher levels of conscientiousness were associated with approximately 30% lower odds of depression. The association with neuroticism persisted in all investigated subgroups; apparently, stronger associations for females and participants aged ≥60 years did not correspond to statistically significant interactions. Overall and across all strata, the association of neuroticism with depression appeared to be mediated in part by the considered psychosocial factors; optimism explained the largest proportion of the association. Our results provide empirical evidence for the dynamic predisposition model. Further investigations of these relationships are warranted in longitudinal data with more precise outcome assessments.

Racial And Ethnic Inequities In Postpartum Depressive Symptoms, Diagnosis, And Care In 7 US Jurisdictions

Understanding whether racial and ethnic inequities exist along the postpartum mental health care continuum is vital because inequitable identification of depression can lead to inequitable referral to and receipt of care. We aimed to expand on existing cross-sectional and single-state data documenting potential racial and ethnic disparities in postpartum depression care. Using early (from two to six months) and late (from twelve to fourteen months) postpartum survey data from seven US jurisdictions, we documented patterns of early postpartum depressive symptoms, perinatal mood and anxiety disorder (PMAD) diagnosis, and receipt of postpartum mental health care overall and by racial and ethnic identity. Of 4,542 people who delivered live births in 2020, 11.8 percent reported early postpartum depressive symptoms. Among the sample with these symptoms, only 25.4 percent reported receiving a PMAD diagnosis, and 52.8 percent reported receiving some form of postpartum mental health care. There were no significant differences in diagnosis by race and ethnicity. Respondents identifying as Asian; Native Hawaiian or Pacific Islander; Southwest Asian, Middle Eastern, or North African; Hispanic; and non-Hispanic Black were significantly less likely than non-Hispanic White respondents to receive mental health care, demonstrating stark inequities in the management of postpartum depressive symptoms. Policies mandating and reimbursing universal postpartum depression screening, facilitating connection to care, reducing insurance coverage gaps, and enhancing clinician training in culturally responsive care may promote equitable postpartum mental health care.

Fatty acid intake and prevalence of depression among Brazilian graduates and postgraduates (CUME Study)

BACKGROUND

Dietary fatty acids are related to the development of several inflammatory-related diseases, which may include depression. So, the association between fatty acids, culinary oils and fat intake and depression in highly educated Brazilians was evaluated.

METHODS

Multicenter cross-sectional study using baseline data from the Cohort of Universities of Minas Gerais. The diagnosis of depression was self-reported, and the daily intake of fatty acids was assessed using a 144-item food frequency questionnaire (FFQ).

RESULTS

A total of 7157 participants (68.83 % women) with a median age of 33 years were included. The prevalence of depression was 12.60 % (N = 902). In the adjusted analyses, it was observed that individuals with the highest intake of omega-6 fatty acids (n-6) (OR: 1.36, 95 % CI 1.11-1.67) had a higher prevalence of depression. This increased n-6 intake was identified as a risk factor for depression only among male participants, while among overweight participants, higher n-6 intake was also positively associated with depression. Conversely, a higher ratio of polyunsaturated to monounsaturated and saturated fatty acids (PM/S) was also found to be positively associated with depression, but this association was observed only among non-overweight participants. No associations were found between the consumption of culinary oils or fats and depression.

LIMITATIONS

Cross-sectional design limits the assessment of causality. The use of the FFQ can make estimates more difficult.

CONCLUSION

Higher consumption of n-6, and higher PM/S ratios were associated with depression, and individual factors can interfere. The mental health care policies should include specific nutritional strategies.

Acceptability and perceived harm of calorie labeling and other obesity policies: A cross-sectional survey study of UK adults with eating disorders and other mental health conditions

OBJECTIVE

We assessed perceptions of recently proposed UK obesity policies (mandatory calorie labeling, banning of advertisements of unhealthy food and drinks online and before 9 pm on TV, and banning "buy one get one free" deals for unhealthy food and drinks) in people with an eating disorder (ED) and other mental health conditions.

METHOD

A total of 1273 participants with a self-reported lifetime mental health condition (N = 583 with an ED) completed an online survey in September-November 2022. Multinomial logistic regression was used to examine support for and potential adverse effects of policies in participants with and without an ED. A qualitative analysis of the potential effects of the policy on current ED symptoms was also conducted to better understand how and why policies may be damaging or beneficial.

RESULTS

Participants with an ED had a lower level of support for the implementation of the calorie labeling policy compared to those without an ED (43% vs. 58%). Half of the participants with an ED (55%) reported that labeling may worsen their ED symptoms. Qualitative data indicated perceived potential harm (e.g., a gateway to relapse, negative effects on mood) and perceived benefits (e.g., feeling informed and reassured) of calorie labeling in participants with an ED. No differences in support or perceived harms of the other two policies were observed between participants with versus without an ED.

DISCUSSION

Future studies are warranted to explore the potential effects of calorie labeling and how to mitigate negative impacts on people with an ED.

PUBLIC SIGNIFICANCE

This research is the first to assess the perceptions of UK obesity-related policies in people with an ED and other mental health conditions. Participants with an ED (vs. without) were more likely to disagree with the government implementing the calorie labeling policy. These findings highlight the potentially harmful effects of calorie labeling in people with an ED and the need for future research to understand how to mitigate negative impacts.

Higher caffeine consumption is associated with insufficient sleep time in Brazilian adults (CUME study)

We aimed to evaluate the association between caffeine intake and sleep time in Brazilian adults. This cross-sectional study was conducted with 6,356 participants from the Cohort of Universities of Minas Gerais (CUME Study). Data was collected through an online self-report questionnaire. Of the total, 31.9% of the participants had insufficient sleep. Women were found to sleep less than men (64.1 vs. 35.9%; p < 0.001), as well as being more likely to consume higher doses of caffeine (55.2%, p < 0.001). Coffee (35.7%), dark chocolate (25.2%), milk chocolate (15.2%), and diet soda (11.0%) were the foods that more contributed to caffeine intake. Individuals in the highest quartile of caffeine intake (87.0 - 572.0 mg/day) had a 19% higher prevalence of insufficient sleep compared with the lowest quartile (PR: 1.19; 95%CI: 1.08 - 1.31). Future studies are needed to investigate the genetic and hormonal factors involved in the interindividual response in this population.

Association between total dietary antioxidant capacity and food groups and incidence of depression in a cohort of Brazilian graduates (CUME Project)

This study aims to evaluate the association between Dietary Total Antioxidant Capacity (dTAC) and Total Antioxidant Capacity of food groups (fgTAC) with the incidence of depression in Brazilian graduates participating in the Cohort of Universities of Minas Gerais (CUME Study). The sample consisted of 2572 participants without a medical diagnosis of depression at baseline who responded to at least one follow-up questionnaire from the CUME Project. The Ferric Reducing Antioxidant Power assay was used to determine dTAC. Incidence of depression was estimated by self-reported medical diagnosis of depression during the years of cohort follow-up. Cox regression models were used to relate dTAC and fgTAC to the incidence of depression. The mean follow-up time was 2·96 (1·00) years, and 246 cases of depression were observed (32·3/1000 person-years). The mean dTAC was 11·03 (4·84) mmol/d. We found no associations between higher dTAC and lower risk of developing depression after adjusting for possible confounders. The incidence of depression was inversely associated with fgTAC of the beans and lentils group (hazard ratio (HR): 0·61; 95 % CI 0·41, 0·90). The fgTAC of the junk food group was positively associated with higher incidence of depression after all adjustments (HR: 1·57; 95 % CI 1·08, 2·26). Our findings do not support an association between dTAC and the incidence of depression in a highly educated Brazilian population. However, associations of fgTAC show the importance of analysing the food matrix in which these antioxidants are inserted. We highlight the need for more prospective studies with different nationalities to confirm these results.

Associations between depression, fear of COVID-19 infection and students' self-care measures used during the first wave of the pandemic

BACKGROUND

COVID-19 lockdown resulted in the closure of schools with associated problems. The aim of this study was to determine the associations between depression, fear of contracting COVID-19 infection and the use of self-care measures by college students during the first wave of the COVID-19 pandemic.

METHODS

This was a cross-sectional study that collected data from undergraduate and postgraduate college students 18 years and older from 152 countries between June and December 2020. Study participants were recruited through crowdsourcing using various social media platforms including Facebook, Twitter, and Instagram, WhatsApp groups and emails to participants in the collaborators' networks. The dependent variables were fear of contracting COVID-19 and depression while the independent variable was students' self-care measures. Multivariable logistic regression models were conducted to assess the associations between the dependent and independent variables.

RESULTS

Of the 2840 respondents, 1305 (46.0%) had fears of contracting COVID-19 and 599 (21.1%) reported depression. The most common self-care measures were phone calls with friends/family (60.1%) and video chat (52.8%). Learning a new skill was significantly associated with higher odds of fear of contracting COVID-19 (AOR = 1.669) and lower odds of having depression (AOR = 0.684). Talking to friends/family through video chat (AOR = 0.809) was significantly associated with lower odds of feeling depressed while spending time with pets (AOR = 1.470) and taking breaks from the news/social media (AOR = 1.242) were significantly associated with higher odds of feeling depressed. Students from lower middle-income countries (AOR = 0.330) had significantly lower odds of feeling depressed than students from low-income countries.

CONCLUSION

Self-care strategies involving social interactions were associated with less depression. Coping strategies with more cognitive demands may significantly reduce the risk of fear of COVID-19. Special attention needs to be given to students in low-income countries who have higher odds of depression during the pandemic than students from other countries.

Age-Related Differences in Anxiety and Depression Diagnosis among Adults in Puerto Rico during the COVID-19 Pandemic

Residents of Puerto Rico bear a significant burden of mental health disorders, which the COVID-19 pandemic may have exacerbated. However, age-specific data on these disorders during the pandemic in Puerto Rico are scarce. This study evaluated age-related differences in the self-reported diagnosis of depression and anxiety among adults ≥18 years residing in Puerto Rico during the pandemic. An anonymous online survey was administered from December 2020 to February 2021 via Google Forms to measure self-reported sociodemographic and behavioral characteristics and physician-diagnosed mental health disorders. Multivariable logistic regression models were conducted for each self-reported mental health diagnosis after adjusting for sex, education, income, marital status, chronic diseases, and smoking. Out of 1945 adults, 50% were aged 40 years and over. Nearly 24% of responders self-reported an anxiety diagnosis, whereas 15.9% reported depression. Compared to individuals 50 years and over, those 18-29 y, 30-39 y, and 40-49 y had significantly higher odds of an anxiety diagnosis (OR = 1.84, 95% CI = 1.34-2.55; OR = 1.50, 95% CI = 1.09-2.07; and OR = 1.37, 95% CI = 1.01-1.87, respectively). However, no association between age and depression diagnosis was found. Despite anxiety and depression being frequent disorders during the pandemic in this sample, younger adults bear a higher burden of anxiety. Further research is needed to allocate appropriate mental health resources during emergencies according to population subgroups.

Campus outdoor environment, learning engagement, and the mental health of college students during the COVID-19 pandemic: From the perspective of students in different grades

Introduction

During COVID-19, the mental health of Chinese university students has been a pressing concern. But the internal mechanism of perceived campus outdoor environment and learning engagement affecting college students' mental health during the COVID-19 pandemic has not been fully discussed.

Methods

The current study used cross-sectional data from 45 Chinese universities to explore the relationship among perceptions of campus outdoor environments, learning engagement, and college student mental health, and focused on differences among college students in different grades.

Results

Our study revealed the mental health problems of Chinese college students during the COVID-19 pandemic were more severe. The mental health of postgraduates was generally poor, and their risk of depression was higher than that of undergraduates. More importantly, for postgraduates, the direct impact of the perceived campus outdoor environment on their mental health was stronger. For undergraduates, the indirect impact of learning engagement on the effect of the perceived campus outdoor environment on their mental health was stronger.

Conclusion

The results of the study have implications for campus planners, landscape architects, and university planners to pay particular attention to the needs of postgraduates for campus outdoor environments, which is of great significance to improve the overall mental health of students during the COVID-19 pandemic.

Group Differences: The Relationship between Social Media Use and Depression during the Outbreak of COVID-19 in China

The outbreak of COVID-19 at the end of 2019 triggered more psychological problems than usual among the public. During this epidemic, the use of social media was very high, and several studies confirmed a positive correlation between social media use and people's psychological problems. The Chinese government has subsequently implemented a series of policies concerning the social media environment to tackle this "infodemic". After the containment of the first COVID-19 outbreak, China saw a new wave of COVID-19 cases in Shijiazhuang, Hebei Province in January 2021. How the optimized social media could have impacted public mental health remained to be revealed. Our research data come from an online survey of Chinese residents during the regional epidemic in Shijiazhuang, with a total of 904 valid samples from 18 different provinces in China. The results showed that this new round of outbreaks caused a high incidence of depression (38.9%) among the public. Compared with relatively advantaged groups, disadvantaged groups have a higher depression. Attributed to the optimization of the social media environment, the prevalence of social media use during the epidemic helped to markedly mitigate anxieties from depression. This is particularly demonstrated in vulnerable groups. We found, for the first time, a change in the relationship between social media use and resident depression, and more importantly, a stronger correlation between social media use and depression in relatively disadvantaged groups. Therefore, during the epidemic, actively optimizing the social media environment has a significant and positive effect on the mental health of residents, especially vulnerable groups.