Anxiety, Depression, and PTSD among College Students in the Post-COVID-19 Era: A Cross-Sectional Study

Analysis of risk factors and construction of a prediction model for posttraumatic stress disorder among Chinese college students during the COVID-19 pandemic

BACKGROUND

To explore the risk factors of post-traumatic stress disorder (PTSD) among Chinese college students during the COVID-19 pandemic and the construction and validation of risk prediction models.

METHODS

A total of 10,705 university students were selected for the study. The questionnaire included the Generalized Anxiety Disorder 7 (GAD-7), Patient Health Questionnaire 9 (PHQ-9), PTSD Checklist for DSM-5 (PCL-5), and self-designed questionnaire. These assessments were conducted to facilitate the survey, construct the predictive model and validate the model's validity.

RESULTS

Sex, left-behind experience, poverty status, anxiety score, and depression score were identified as independent risk factors influencing psychological trauma among Chinese college students during the COVID-19 pandemic, while COVID-19 infection emerged as a protective factor against psychological trauma. A column chart was constructed to visualize the six independent risk factors derived from logistic regression analysis. The Hosmer-Lemeshow test results (χ2 = 13.021, P = 0.111) indicated that the risk prediction model fitted well. The receiver operating characteristic (ROC) curve showed an area under the curve (AUC) of 0.864 in the model group and 0.855 in the validation group. The calibration curves of the model closely resembled the ideal curve. Decision curve analysis (DCA) revealed that the model provided net benefit and demonstrated good clinical utility.

LIMITATIONS

The validation of the model is currently restricted to internal assessments. However, further confirmation through larger sample sizes, multicenter investigations, and prospective studies is necessary.

CONCLUSIONS

The model effectively predicted PTSD risk among Chinese college students during the COVID-19 pandemic, indicating strong clinical applicability.

Trends and factors influencing the mental health of college students in the post-pandemic: four consecutive cross-sectional surveys

Background

The long-term impact of COVID-19 on the mental health and well-being of college students, specifically trends over time after full removal of COVID-19 restrictions, has not been well-studied.

Methods

Four consecutive cross-sectional surveys were conducted in December 2022 (N = 689), March 2023 (N = 456), June 2023 (N = 300), and November 2023 (N = 601) at a university in Sichuan Province, China.

Results

The proportion of students with COVID-19 panic decreased from 95.1 to 77.3% (p < 0.001). The prevalence of moderate anxiety and above decreased from 18 to 13.6% (p < 0.001), and the prevalence of moderate and above depression decreased from 33.1 to 28.1% (p < 0.001), while the prevalence of post-traumatic stress disorder (PTSD) increased from 21.5 to 29.6% (p < 0.005). Further, the proportion of suicidal thoughts increased from 7.7 to 14.8% (p < 0.001). Suicidal thoughts and self-injuries were significantly associated with COVID-19 panic, depression, anxiety, and PTSD. Students who reported being in close contact with COVID-19 patients in the past were more likely to develop PTSD. Further, COVID-19-induced panic was a risk factor for self-injury.

Conclusion

One year after the COVID-19 pandemic, the overall mental health of college students was not optimal. Hence, we can conclude that the long-term impacts of COVID-19 on the mental health of college students may have already occurred. To mitigate this impact and prepare for the next major public health event, strengthening college students' mental health curricula and promoting healthy behaviors among college students should be a priority for universities and education authorities.

Optimism and mental health in college students: the mediating role of sleep quality and stress

Objective

College students showed a high prevalence of stress, anxiety, and depression, with medical and nursing students experiencing particularly elevated levels of mental health challenges.Optimism significantly influences overall well-being by promoting a healthy lifestyle and cognitive responses. However, the association of optimism with sleep quality, stress, and mental health in college students remains unexplored. This study aimed to (1) explore the associations of optimism with sleep quality, stress, and mental health and (2) ascertain whether sleep quality and stress mediate the association between optimism and mental health among college students.

Methods

A cross-sectional study was conducted using online surveys with students from health science majors at a public university in the northeast United States from September to December 2022. A total of 222 students participated in the study, providing data on sociodemographics, optimism, sleep quality, stress, anxiety, and depression. Parallel and serial mediation models were utilized to examine the potential mediating roles of sleep quality and stress in the association between optimism and mental health.

Results

The study found that optimism influences anxiety and depression through both direct and indirect pathways. In line with predictions, the parallel mediation analysis revealed that the impact of optimism on anxiety (βtotal = -0.598, 95% confident interval [CI]: -0.778 to -0.392) and depression (βtotal = -0.724, 95% CI: -0.919 to -0.519) was mediated by stress and sleep quality. Furthermore, the serial mediation models revealed that stress and sleep quality co-mediated the relationship betweenoptimism and anxiety (indirect effect [IE] = -0.074, 95% CI: -0.135 to -0.029) or depression (IE = -0.084, 95% CI: -0.142 to -0.036) in a sequential manner.

Conclusion

Optimism was negatively correlated with poor sleep quality, stress, anxiety, and depression. Enhanced optimism was linked to high sleep quality and less stress, anxiety, and depression. These insights emphasize the potential for school-based optimism interventions to improve sleep quality, ameliorate stress-related concerns, and alleviate mental health challenges in college students.

Researching into Chinese university students' mental health in the post-pandemic era - problems and causes

Introduction

Mental health challenges have still been widely pervasive among Chinese university students after the outbreak of the COVID-19 pandemic. This article aims to explore mental health challenges encountered by Chinese university students in the post-pandemic era and explain causes to these challenges using a qualitative approach.

Methods

We conducted six focus group interviews with university students in Zhuhai, China, and altogether 61 students including 43 female students, and 18 male students participated in the study.

Results

Our results indicate that sleep difficulties, anxiety, and stress are the three primary mental health challenges experienced by students. Academic pressure, social influence including peer pressure and pursuit of social acceptance, and pandemic related policies and measures are the causes to the above mental health challenges.

Discussion

The results of this study will inform the development of mental health promotion, intervention, and education activities for university students to bolster their resilience and cope with mental health problems in the post-pandemic era. Meanwhile, our results could illuminate the services stakeholders provide to university students in the future.

Relationship between fruit and vegetable consumption and internet addiction with insomnia and depression as multiple mediators during the COVID-19 pandemic: a three-wave longitudinal study in Chinese college students

BACKGROUND

The relationships between fruit and vegetable consumption (FV) and Internet addiction (IA) in college students still remained unknown together with the internal mechanisms. Given the limitations of previous cross-sectional design, longitudinal research was necessary to be conducted to explore more precise correlations. Using the three-wave data in a longitudinal design, this study aimed to explore the association between FV and IA among Chinese college students and potential multiple mediators of insomnia and depression during the COVID-19 pandemic.

METHODS

A total of 579 college students were recruited during three waves (T1: August 2020; T2: November 2020; T3: February 2021). FV (T1), insomnia (T2), depression (T2) and IA (T3) symptoms were reported. The descriptive statistics of the sociodemographic characteristics and correlation analyses of the study variables were calculated. The significance of the mediation effects was measured conducting a bootstrap method with SPSS PROCESS macro.

RESULTS

FV was negatively correlated with IA, and lower FV predicted higher risk of IA. Depression mediated the association between FV and subsequent IA. Insomnia and depression were multiple mediators, which in turn mediated the links between FV and subsequent IA.

CONCLUSIONS

The three-wave longitudinal study has revealed that FV had indirect effects on IA through individual mediating factor of depression and multiple mediating roles of insomnia and depression sequentially. The policy makers, educators and researchers should pay attention to the impact of the interventions from healthy diet, in order to optimize the coping strategies for preventing college students from IA.

Depression, anxiety, and stress in medical students in Peru: a cross-sectional study

Objective

To determine the prevalence and factors associated with depressive, anxious, and stress symptoms in medical students in Peru, during the second pandemic wave of COVID-19.

Methods

We conducted an analytical cross-sectional study in 405 medical students from a university in northern Peru. The DASS-21 instrument was used to evaluate mental health outcomes (depression, anxiety, and stress), and to investigate their association with socio-educational characteristics.

Results

We found a prevalence of depressive, anxious, and stress symptoms of 71.6% (95% CI: 66.94-75.95), 71.9% (95% CI: 67.2-76.2), and 62.7% (95% CI: 57.8-67.4); respectively. Students with eating behavior disorders had a higher prevalence of depressive symptoms (PR: 1.35), anxious symptoms (PR: 1.27), and stress symptoms (PR: 1.31). The prevalence of depressive symptoms (PR: 1.57), anxious symptoms (PR: 1.27), and stress symptoms (PR: 1.24) increased in students who did not report regular physical activity. In addition, having almost always academic exhaustion increased the prevalence of depressive symptoms (PR: 1.46), stress symptoms (PR: 1.72). On the contrary, the prevalence of depressive symptoms (PR: 0.79), anxious symptoms (PR: 0.73) and stress symptoms (PR: 0.82) decreased in male students. Students who reported sleeping 8 or more hours daily had a lower prevalence of stress symptoms (PR: 0.82).

Conclusion

Symptoms of depression and anxiety occurred in 7 out of 10 students, and stress in 6 out of 10. Among the factors associated with the presence of anxiety, depression, and stress were eating behavior disorder and not regularly exercising. Periodic evaluations of mental symptomatology are required and counseling should be promoted in medical schools.

Stress and influencing factors of public health and preventive medicine students in the post-pandemic period: a cross-sectional study in Changsha, China

Objectives

Little is known about the stress levels and associated factors of public health and preventive medicine students in the post-pandemic period. This study aims to investigate the stress levels of these students in the post-COVID-19 era and to determine the association of personal background, employment attitude, and psychological state with stress.

Methods

A cross-sectional survey was conducted in March 2023 among 620 public health and preventive medicine students from two universities in Changsha, China. The survey included demographic characteristics, employment attitudes, perceived stress scale 10, general anxiety disorder 7, the University of California at Los Angeles loneliness scale 20, and the PTSD checklist-civilian version. Two-sided t-tests and ANOVA tests were used to compare the differences in PSS scores among variables, and multiple hierarchical regression analysis was used to evaluate the associated factors with stress.

Results

The survey was completed by 504 students (mean age: 21.5 ± 2.6 years, 69.2% female). 24.8% of the students were screened for a high level of stress. 69.0% thought the epidemic positively impacted employment while 18.5% believed it had a negative impact. The results of regression analysis showed that older age (B = 0.42, p = 0.001), higher grade (B 1 = 3.59, p < 0.001, B 2 = 4.57, p < 0.001), having internship experiences (B = 1.16, p = 0.006), having anti-epidemic experiences (B = 1.77, p < 0.001), believing that COVID-19 has a negative impact on employment (B = 2.56, p < 0.001), and having higher GAD scores (B = 0.64, p < 0.001) and UCLA scores (B = 0.07, p = 0.002) were significantly associated with high-stress levels. Conversely, being female (B = -1.64, p < 0.001) and believing that the pandemic had a positive impact on employment (B = -1.98, p = 0.001) were associated with low-stress levels.

Conclusion

Public health and preventive medicine students in Changsha, China, experienced a high-stress level in the post-pandemic period, which was influenced by age, gender, grade, employment attitude, internship experience, anxiety, and loneliness. As one of the main guardians of the epidemic, these students should be given more attention and psychological interventions in the future.

Mental health and cognitive function among medical students after the COVID-19 pandemic in China

Background

Chinese people experienced a nationwide coronavirus disease 2019 (COVID-19) pandemic after the adjustment of epidemic response policies from December 2022 to January 2023. This study aims to explore the prevalence of mental and cognitive symptoms and their associated factors among medical students after the COVID-19 pandemic.

Methods

A cross-sectional study was conducted between February 27th and March 8th, 2023. The symptoms of anxiety, depression, insomnia, post-traumatic stress disorder (PTSD), and cognitive function among medical students were examined using the Generalized Anxiety Disorder-7 (GAD-7), the Patient Health Questionnaire-9 (PHQ-9), the Athens Insomnia Scale (AIS), the Impact of Event Scale-6 (IES-6), and the Perceived Deficits Questionnaire-Depression-5 (PDQ-D-5). Data on demographic information was also collected. Statistical analyses were conducted to describe the prevalence and explore the associated factors of mental and cognitive symptoms.

Results

Among 947 participants, the proportion of students experiencing anxiety, depression, insomnia, and PTSD symptoms was 37.8, 39.3, 28.3, and 29.5%, respectively. The self-reported COVID-19 infection rate was 72.2%. Higher grades, childhood, and current rural residence were identified as potential risk factors for mental and cognitive symptoms. Gender, age, average monthly household income, and COVID-19 diagnosis were not associated with mental and cognitive symptoms among medical students.

Conclusion

Our findings revealed a high prevalence of mental and cognitive symptoms among Chinese medical students after the COVID-19 pandemic. Special attention should be paid to the mental health of higher-grade students and those residing in rural areas.

A network analysis of the long-term quality of life and mental distress of COVID-19 survivors 1 year after hospital discharge

Objectives

COVID-19 survivors suffer from persistent mental distress and impaired quality of life (QOL) after recovery from the infection. However, the symptom-symptom interaction between these psychological variables remained unexplored. The present study aimed to determine the symptom network of mental distress (depression, anxiety, sleep disturbance, fatigue, and post-traumatic stress disorder) and their association with QOL among 535 COVID-19 survivors 1 year after hospital discharge.

Methods

9-item Patient Health Questionnaire, 7-item Generalized Anxiety Disorder Scale, Chalder fatigue scale, Impact of Event Scale-Revised, Pittsburgh Sleep Quality Index, and 36-Item Short-Form Health Survey were applied to measure depression, anxiety, fatigue, PTSD, sleep disturbances, and QOL, respectively. Two networks were estimated using Gaussian graphical model. Network 1 consisted of mental symptoms to determine the central and bridge symptoms. Network 2 additionally included QOL to determine which mental symptoms were mostly related to QOL.

Results

60% of the COVID-19 survivors experienced mental distress 1 year after hospital discharge. Uncontrollable and excessive worry, psychomotor symptoms, intrusion, and daytime dysfunction were the most central symptoms. Daytime dysfunction and fatigue (especially mental fatigue and loss of energy) served as the bridge symptoms across the mental distress network and exhibited the most substantial association with QOL.

Conclusion

Our study demonstrated several key symptoms that played a vital role in mental distress and QOL among COVID-19 survivors. Prompt screening and targeted interventions for these symptoms might hold great promise in preventing mental distress and improving QOL in COVID-19 survivors.

Anxiety, depression, insomnia, and PTSD among college students after optimizing the COVID-19 response in China

BACKGROUND

The number of COVID-19 infections has increased sharply and quickly after optimizing the COVID-19 response in China. In the context of this population-size infection, college students' psychological response is yet to be understood.

METHODS

A cross-sectional study was designed to investigate anxiety, depression, insomnia, and post-traumatic stress disorder (PTSD) symptoms among college students from December 31, 2022, to January 7, 2023. The questionnaire included the Generalized Anxiety Disorder 7 (GAD-7), Patient Health Questionnaire 9 (PHQ-9), Insomnia Severity Index (ISI), Impact of Event Scale (IES-R), and self-designed questionnaire.

RESULTS

Of the 22,624 respondents, the self-reported prevalence of anxiety, depression, insomnia, PTSD, and any of the four psychological symptoms appeared as 12.7 %, 25.8 %, 11.6 %, 7.9 %, and 29.7 %, respectively. The self-reported COVID-19 infection rate was 80.2 %. Changes in the place for learning, longer time online, not recovering after infection, a higher proportion of family member infection, insufficient drug reserve, worry about sequela after infection, future studies, or employment contributed to a higher risk of anxiety/depression/insomnia symptoms or PTSD symptoms. Multinomial logistic regression showed that those who spent more extended time on the Internet, recovered after infection, and had insufficient drug reserves were less likely to have PTSD than anxiety/depression/insomnia symptoms.

LIMITATIONS

The study was a non-probability sampling survey.

CONCLUSIONS

Anxiety, depression, insomnia, and PTSD were common psychological symptoms among college students when infection went through a large-scale population. This study highlights the importance of continuing to care for the psychological symptoms of college students, especially timely responses to their concerns related to the epidemic situation and COVID-19 infection.

Post-traumatic stress disorders, anxiety, and depression in college students during the COVID-19 pandemic: a cross-sectional study

OBJECTIVES

The COVID-19 pandemic has caused an increase in psychiatric disorders in college students, particularly posttraumatic stress disorders (PTSD), depression, and anxiety. While existing studies assess the prevalence of these disorders and their predictors, they overlook potential complications caused by comorbidity between these disorders. To fill this gap, this study examined the prevalence of PTSD, depression, anxiety, and their comorbidity to inform targeted intervention for college students during the COVID-19 pandemic.

DESIGN

Self-report questionnaires were used to assess 6,898 college students about six months after the COVID-19 outbreak.

RESULTS

The results found that the prevalence of PTSD, depression, and anxiety were 15.5%, 32.2%, and 32.1% respectively, and the prevalence of comorbid PTSD and depression, comorbid PTSD and anxiety, comorbid depression and anxiety, and comorbid PTSD, depression, and anxiety symptoms were 11.5%, 11.6%, 20.4%, and 9.4% respectively. Moreover, left-behind status, lower economic status, previous trauma experiences, exposure to the pandemic, and rumination were risk factors of psychological distress, but self-disclosure was a protective factor for these disorders.

CONCLUSION

These results indicate that distinct psychiatric disorders may be comorbid in individuals, and are further influenced by pre-, within-, and post-disaster factors. Furthermore, psychological service targeted at college students should pay attention to comorbid symptoms rather than only symptoms of single disorders.

Association between Stress and Physical Fitness of University Students Post-COVID-19 Pandemic

Post-COVID-19 pandemic, most universities changed their educational model from online courses to onsite learning, allowing students to attend regular face-to-face classes. These changes can cause stress in students, which affects physical fitness. The aim of this study was to investigate the relationship between stress levels and physical fitness in female university students. The participants were 101 female university students, 18-23 years of age. All participants completed the Suan Prung Stress Test-60 (SPST-60). The physical fitness test included body composition, cardiorespiratory fitness, as well as musculoskeletal fitness. Multiple linear regression analysis was used to determine the associations between SPST-60 scores and physical fitness. A p-value < 0.05 was considered statistically significant. We found a negative correlation between the sources of stress scores, here environment, and maximal oxygen consumption (β = -0.291; 95% CI, -0.551, -0.031). We also found that symptoms of stress scores in the parasympathetic and sympathetic nervous systems were positively associated with waist-hip circumference ratio (WHR) (β = 0.010; 95% CI, 0.002, 0.017 and β = 0.006; 95% CI, 0.000, 0.012, respectively). Moreover, the symptoms of stress, here emotion, were positively associated with the WHR (β = 0.005; 95 %CI, 0.001, 0.009) and negatively associated with upper extremity muscle strength (β = -0.005; 95% CI, -0.009, 0.000). The results of this study confirmed the associations between stress levels in the post-COVID-19 pandemic era and WHR, maximal oxygen consumption, and upper extremity muscle strength. As a result, stress reduction or prevention alternatives should be considered in order to maintain physical fitness and prevent stress disorders.

The impact of family function on post-traumatic reactions of Chinese adolescents infected with COVID-19: a latent profile study

Background

Since the end of 2019, Corona Virus Disease 2019, also known as COVID-19, has broken out in various countries. However, the change of China's COVID-19 prevention and control policy and the sharp increase in the number of infected people are making the teenagers have post-traumatic reactions. Negative post-traumatic reactions include: post-traumatic stress disorder (PTSD), depression, anxiety. Positive post-traumatic reaction mainly refers to post-traumatic growth (PTG). The purpose of this study is to explore the post-traumatic reaction, which refers to PTSD, depression, anxiety and the co-occurrence pattern of growth after trauma and to further explore the influence of family function on different categories of Post-traumatic Reactions.

Methods

Latent profile analysis (LPA) was used to explore the co-occurrence of PTSD, depression, anxiety, and PTG. Multiple logistics regression was used to analyze the influence of family function on different categories of post-traumatic response.

Results

There were three categories of post-traumatic reactions in adolescents infected with COVID-19 adolescents infected with COVID-19, namely: growth class, struggling class, and pain class. Multivariate Logistic regression showed that the growth class and struggling class were affected by problem solving and behavior control in family function, while the growth class and pain class were affected by problem solving, roles, behavior control, and general functioning. Multiple logistic regression showed that the growth class and struggling class were affected by problem solving and roles.

Conclusions

The findings of this study provide evidence for the identification of high-risk individuals and the provision of effective interventions in clinical practice, as well as the influence of family functioning on the different categories of PTSD among adolescents infected with COVID-19.