Gender differences in depression, anxiety, and stress among college students: A longitudinal study from China

BACKGROUND

The objective of this longitudinal study was to examine the gender differences in college students' depression, anxiety, and stress over the four academic years, and to explore possible anxiety-related factors among first year students.

METHODS

The study analyzed 1892 undergraduate students from 15 universities in China, with 898 females and 994 males. The students have been followed for four years and completed a survey containing the Depression Anxiety Stress Scale-21 questionnaire, students' socio-demographic information, and their educational background, etc. RESULTS: (1) On average, both female and male college students suffered from mild anxiety in the first three years. Female students scored significantly higher in anxiety than males in the first and second years, and there was no significant gender difference in students' average depression and stress levels. (2) A significantly larger proportion of female students experienced anxiety above the normal threshold, whereas a higher percentage of male students endured different degrees of depression; no significant gender differences were found in stress problems. (3) Anxiety had a significant positive correlation with introversion. Female freshmen's anxiety levels were also associated with their body image, drinking habits, and academic performance.

LIMITATIONS

Response bias may exist considering that self-reported data was used. Due to data unavailability, we only explored the anxiety-related factors in freshman year, which cannot sufficiently reflect the consistency of correlations over time.

CONCLUSIONS

Anxiety turned out to be the most prevalent and serious issue for college students, especially for female students; while a growing prevalence of depression was found among male students during college. It is of great significance to adopt collegiate policies reflecting the gender differentials.

Changes in Undergraduate Students' Psychological Well-Being as They Experience University Life

The onset of most lifetime mental disorders occurs during adolescence, and the years in college, as the final stage of adolescence in a broad sense, deserve attention in this respect. The psychological well-being of undergraduate students can influence not only their academic and professional success, but also the development of society as a whole. Although previous studies suggested psychiatric disorders are common in the adult population, there was little consistent information available about undergraduate students' mental health problems. This research aimed to describe the changes in depression, anxiety, and stress of Chinese full-time undergraduate students as they experienced university life using the Depression Anxiety Stress Scales-21 (DASS-21). The main conclusions of our study were as follows: (1) on average, students' severity scores of depression during the four academic years varied between 7.22 and 7.79, while stress scores ranged from 9.53 to 11.68. However, the anxiety scores of college students in the first three years turned out to be 7.40, 7.24 and 7.10, respectively, slightly overtaking the normal threshold of 7. These results indicated that Chinese college students, in general, were mentally healthy with regard to depression and stress, but their average anxiety levels were beyond normal in the first three years. (2) As for the proportions of students with different degrees of severity, approximately 38% to 43% of college students were above the normal level of anxiety, about 35% above the normal level of depression, and around 20% to 30% above the normal level of stress. (3) There were significant differences in the psychological health states of students of different years, especially among the sophomores, juniors, and seniors; the highest score of depression, anxiety, and stress all appeared in the first or second year on average, but some improvements were achieved in the third and last years. The findings suggested that colleges and universities need to pay special attention to psychologically unhealthy students, and with concerted efforts by the government, formulate mental health policies in the prevention, detection, and treatment of students' psychiatric disorders, rather than just focusing on their average levels of mental health.

Influencing factors, prediction and prevention of depression in college students: A literature review

The high prevalence of depression among college students has a strong negative impact on individual physical and mental health, academic development, and interpersonal communication. This paper reviewed the extant literature by identifying nonpathological factors related to college students' depression, investigating the methods of predicting depression, and exploring nonpharmaceutical interventions for college students' depression. The influencing factors of college students' depression mainly fell into four categories: biological factors, personality and psychological state, college experience, and lifestyle. The outbreak of coronavirus disease 2019 has exacerbated the severity of depression among college students worldwide and poses grave challenges to the prevention and treatment of depression, given that the coronavirus has spread quickly with high infection rates, and the pandemic has changed the daily routines of college life. To predict and measure mental health, more advanced methods, such as machine algorithms and artificial intelligence, have emerged in recent years apart from the traditional commonly used psychological scales. Regarding nonpharmaceutical prevention measures, both general measures and professional measures for the prevention and treatment of college students' depression were examined in this study. Students who experience depressive disorders need family support and personalized interventions at college, which should also be supplemented by professional interventions such as cognitive behavioral therapy and online therapy. Through this literature review, we insist that the technology of identification, prediction, and prevention of depression among college students based on big data platforms will be extensively used in the future. Higher education institutions should understand the potential risk factors related to college students' depression and make more accurate screening and prevention available with the help of advanced technologies.

Risk factors and digital interventions for anxiety disorders in college students: Stakeholder perspectives

The worldwide prevalence of anxiety disorders among college students is high, which negatively affects countries, schools, families, and individual students to varying degrees. This paper reviews the relevant literature regarding risk factors and digital interventions for anxiety disorders among college students from the perspectives of different stakeholders. Risk factors at the national and societal levels include class differences and the coronavirus disease 2019 pandemic. College-level risk factors include the indoor environment design of the college environment, peer relationships, student satisfaction with college culture, and school functional levels. Family-level risk factors include parenting style, family relationship, and parental level of education. Individual-level risk factors include biological factors, lifestyle, and personality. Among the intervention options for college students' anxiety disorders, in addition to traditional cognitive behavioral therapy, mindfulness-based interventions, psychological counseling, and group counseling, digital mental health interventions are increasingly popular due to their low cost, positive effect, and convenient diagnostics and treatment. To better apply digital intervention to the prevention and treatment of college students' anxiety, this paper suggests that the different stakeholders form a synergy among themselves. The nation and society should provide necessary policy guarantees, financial support, and moral and ethical supervision for the prevention and treatment of college students' anxiety disorders. Colleges should actively participate in the screening and intervention of college students' anxiety disorders. Families should increase their awareness of college students' anxiety disorders and take the initiative to study and understand various digital intervention methods. College students with anxiety disorders should actively seek psychological assistance and actively accept and participate in digital intervention projects and services. We believe that in the future, the application of methods such as big data and artificial intelligence to improve digital interventions and provide individualized treatment plans will become the primary means of preventing and treating anxiety disorders among college students.

Artificial intelligence-assisted psychosis risk screening in adolescents: Practices and challenges

Artificial intelligence-based technologies are gradually being applied to psych-iatric research and practice. This paper reviews the primary literature concerning artificial intelligence-assisted psychosis risk screening in adolescents. In terms of the practice of psychosis risk screening, the application of two artificial intelligence-assisted screening methods, chatbot and large-scale social media data analysis, is summarized in detail. Regarding the challenges of psychiatric risk screening, ethical issues constitute the first challenge of psychiatric risk screening through artificial intelligence, which must comply with the four biomedical ethical principles of respect for autonomy, nonmaleficence, beneficence and impartiality such that the development of artificial intelligence can meet the moral and ethical requirements of human beings. By reviewing the pertinent literature concerning current artificial intelligence-assisted adolescent psychosis risk screens, we propose that assuming they meet ethical requirements, there are three directions worth considering in the future development of artificial intelligence-assisted psychosis risk screening in adolescents as follows: nonperceptual real-time artificial intelligence-assisted screening, further reducing the cost of artificial intelligence-assisted screening, and improving the ease of use of artificial intelligence-assisted screening techniques and tools.

Does Low Self-Esteem Predict Anxiety Among Chinese College Students?

Purpose

This study aimed to investigate the longitudinal relationship between anxiety and self-esteem among college students.

Participants and methods

A total of 2473 Chinese college students were tracked, with their anxiety and self-esteem levels collected annually over the four academic years. The study employed a four-wave random intercept cross-lagged panel model to examine the prospective relationship between anxiety and self-esteem.

Results

The anxiety levels were negatively associated with self-esteem over campus life. Results of the four-wave cross-lagged panel model revealed that low self-esteem maintained having subsequent negative impacts on students' anxiety levels, while the effects became progressively stronger over the four academic years. Meanwhile, no significant prospective effects were identified of anxiety levels on self-esteem.

Conclusion

The study confirmed self-esteem as one of the leading contributors to anxiety for college students and emphasized the importance of nourishing the self-esteem of students to alleviate their anxiety issues and improve their mental health at college.

Post-1990s College Students Academic Sustainability: The Role of Negative Emotions, Achievement Goals, and Self-efficacy on Academic Performance

In 1982, the “one-child policy” was implemented by China’s Constitution, which led to the majority of post-1990s college students in China being the only child in their family. Unique characteristics have been demonstrated in psychological development of post-1990s Chinese college students due to the lack of sibling companionship, and the relationship between their psychological state and academic performance can affect their future academic sustainability. This paper used Beijing College Students Panel Survey (BCSPS) data to study the role of negative emotions, achievement goals, and academic self-efficacy on academic performance and gives a panoramic description of the China’s post-1990s college students’ psychological states based on the four-year data of more than 2000 college students who enrolled in 2008. We then used regression analysis and a two-way fixed effect model to study the effects of the psychological state on academic performance. The research conclusions of the study are as follows: (1) The levels of negative emotions, achievement goals, and academic self-efficacy vary according to the grade and gender of college students; (2) among all negative emotions discussed, only anxiety presents a significant predictive effect on academic performance, while the effect of stress and depression is not significant; (3) the presence of level of mastery–approach goals is higher than the other three achievement goals, and college students’ academic self-efficacy keeps decreasing from freshman to junior year; (4) performance–approach goals and academic self-efficacy are identified as having a significant promoting effect on academic performance; (5) mastery–avoidance goals and performance–avoidance goals are proven to have a negative effect on academic performance. This paper discusses the contribution of the psychological sustainability and sustainable development to college students’ academic performance from a primary intervention perspective. We believe that it is feasible to improve academic achievement by improving noncognitive factors, such as mental state, to achieve academic sustainability.

Developmental trajectories of depression, anxiety, and stress among college students: a piecewise growth mixture model analysis

Mental health issues are becoming increasingly common among college students, but not all students follow the same developmental trends of mental health. This study aims to identify the developmental trajectories of depression, anxiety, and stress among college students and the related factors for different trajectory classes. The data were collected from a longitudinal survey of college students over four consecutive years, and 2473 students were included in the analysis. The study used a piecewise growth mixture model to determine the subtrajectories, and a multinomial logistic regression model was constructed to investigate the related factors affecting students in subtrajectories. The results revealed that subtrajectories include the low and stable class, increasing class, decreasing then stable class, increasing then decreasing class, and decreasing and high class. The decreasing and high class only presents in the trajectories of anxiety and stress. Regarding related factors, high BMI and high sleep hours were identified as related factors for the increasing class of depression; gender and high sleep hours were associated with the increasing class of anxiety; and hometown location was related to the increasing class of stress. Extroversion personality, relationship with classmates, siblings, and father’s education level are related factors for other subtrajectories. Considering that college students experience multiple trajectories of depression, anxiety, and stress, mental health education and psychological intervention should be carried out for students in each class.

Time Use and Cognitive Achievement among Adolescents in China: Depression Symptoms as Mediators

Everyone's time is limited, and there is competition between different aspects of time use; this requires comprehensive consideration of the effects of different aspects of time use on cognitive achievement in adolescents. This study uses a dataset of 11,717 students from a nationally representative large-scale survey project conducted in 2013 to 2014 to clarify the relationship between time use (including working on homework, playing sports, surfing the Internet, watching TV, and sleeping) and cognitive achievement among Chinese adolescents, and explores the mediating role of depression symptoms in the relationship between time use and cognitive achievement. The results of the correlation analysis show that the average daily time spent on homework, playing sports, and sleeping is significantly positively correlated with cognitive achievement (p < 0.01), while time spent surfing the Internet and watching TV are significantly negatively correlated with cognitive achievement (p < 0.01). The results of the mediating effect model show that depression symptoms play a mediating role in the relationship between time use and cognitive achievement among Chinese adolescents. Specifically, time spent playing sports (indirect effect = 0.008, p < 0.001) and sleeping (indirect effect = 0.015, p < 0.001) have a positive effect on cognitive achievement when using depression symptoms as mediators; time spent on homework (indirect effect = -0.004, p < 0.001), surfing the Internet (indirect effect = -0.002, p = 0.046), and watching TV (indirect effect = -0.005, p < 0.001) have a negative effect on cognitive achievement when using depression symptoms as mediators. This study contributes to the understanding of the relationship between time use and cognitive achievement among Chinese adolescents.

Longitudinal Relationship Between Self-Esteem and Academic Self-Efficacy Among College Students in China: Evidence From a Cross-Lagged Model

The present study aimed to investigate the associations between self-esteem and academic self-efficacy among Chinese college students. Descriptive statistics showed that on average, students' academic self-efficacy experienced a downward trend in the first 3 years before rising slightly in the graduation year, and that male students had higher academic self-efficacy than females in the first 2 years, whereas female students' academic self-efficacy surpassed their male counterparts in the latter years. There were significant, positive associations between the two variables. With cross-lagged analysis, we found that students' self-esteem significantly predicted their subsequent academic self-efficacy from the freshman to the junior years, and the effects among male students endured longer and stronger. Implications of the findings were discussed.

Delivering substance use prevention interventions for adolescents in educational settings: A scoping review

Currently, a proportion of adolescents use alcohol, tobacco, and illicit drugs, which inevitably harms their health and academic progress. Adolescence is a peak period for substance use initiation and a critical time for preventing substance use problems. Various entities, such as families, schools, and communities, have implemented a variety of interventions to alleviate adolescent substance use problems, and schools play a unique role. To explore the types, characteristics, and effectiveness of substance use interventions in educational settings for adole-scents, we conducted a scoping review and identified 32 studies after screening. We divided the 32 studies according to intervention type, including curriculum interventions focusing on cognitive-behavioral skill enhancement, exercise interventions, peer interventions and family-school cooperation, and electronic interventions. Except for the mixed results on electronic interventions, the results showed that the other interventions were beneficial to different extents in alleviating adolescent substance use problems. In addition, we analyzed and summarized the advantages and challenges of intervening in adolescent substance use in educational settings. Schools can use equipment and human resources to provide adolescents with various types of intervention measures, but they also face challenges such as stigmatization, ineffective coordination among multiple resources, and poor implementation effects. In the future, school-based intervention measures can fully utilize big data and artificial intelligence technology and collaborate with families and communities to intervene appro-priately while paying attention to the comorbidity risks of substance use disorders and psychological health issues.

Trajectories of college students' general self-efficacy, the related predictors, and depression: A piecewise growth mixture modeling approach

General self-efficacy plays a critical role in the development of college students, and mastering the development of students' general self-efficacy is helpful to explain students' behavior and psychological performance. Based on the data from the same cohort of college students for four consecutive years, this study used the piecewise growth mixture model to identify the developmental trajectories of general self-efficacy, built a multinomial logistic regression model to analyze the related predictors on different trajectories, and further compared the differences in depression symptoms in general self-efficacy trajectories. Three trajectories of college students' general self-efficacy were identified: stable-rising (8.7%), stable-decreasing (2.4%), and moderate and stable (88.9%). With the moderate and stable class as the reference, gender and extraversion are the predictors of students in the stable-increasing class; gender, extraversion, mother's education level, and university tier significantly predict students who fall into the stable-decreasing class. With the stable-increasing class as the reference, gender also has a significant predictive effect on students who belong to the stable-decreasing class. However, age, ethnicity, siblings, hometown location, father's education level, BMI, sleep, and major were not related predictors. Furthermore, mean differences in depression between latent classes of general self-efficacy trajectories were significant, and the depression scores of the stable-decreasing class were beyond the normal range in the third and fourth years. To promote college students' mental health, we suggest that colleges provide more specific psychological interventions to students based on the classification.

Bidirectional reduction effects of perceived stress and general self-efficacy among college students: a cross-lagged study

Perceived stress and general self-efficacy are important issues closely related to the mental health and academic performance of college students. Previous studies have explored the correlation between perceived stress and general self-efficacy, but the understanding of the reciprocal effects of these two factors is still limited. Based on two-wave longitudinal data, this study investigated the bidirectional relationship between perceived stress and general self-efficacy in a sample of Chinese college students. The correlation results showed that perceived stress was significantly negatively correlated with general self-efficacy. Furthermore, by cross-lagged analysis, it was found that perceived stress can significantly negatively predict subsequent general self-efficacy and that general self-efficacy can significantly negatively predict subsequent perceived stress. Bidirectional reduction effects between perceived stress and general self-efficacy are observed among Chinese college students. The results emphasize the necessity of timely stress intervention for college students and the establishment of measures to enhance general self-efficacy.

Does Subjective Well-Being Improve Self-Rated Health from Undergraduate Studies to Three Years after Graduation in China?

The health status of emerging adults is at risk. Although subjective well-being is one of the factors closely associated with health, their longitudinal relationship is not clear among emerging adults. The study aimed to investigate the prospective relationship between self-rated health and subjective well-being in emerging adults. The study collected longitudinal data from a total of 1021 Chinese college students (537 males and 484 females) for five years, including two years in college and three years after graduation. In the baseline survey, the average age of the sample was 21.57 years old. Descriptive statistics indicated that both self-rated health and subjective well-being significantly decreased from the senior year of college to the year after graduation. Correlation analysis revealed that self-rated health and subjective well-being had a significant positive relationship. In the five-wave random intercept cross-lagged panel model, subjective well-being unidirectionally predicted self-rated health. In other words, the subjective well-being in the previous year could positively predict self-rated health in the following year, but the previous self-rated health could not predict subsequent subjective well-being. Given the significance of emerging adulthood to individual development, more attention and care should be dedicated to improving subjective well-being so as to maintain good health and engagement in work.

Relationship between depression, smartphone addiction, and sleep among Chinese engineering students during the COVID-19 pandemic

BACKGROUND

Existing research has demonstrated that depression is positively related to smartphone addiction, but the role of sleep has not been discussed thoroughly, especially among engineering undergraduates affected by the coronavirus disease 2019 pandemic.

AIM

To evaluate sleep as a mediator of the association between smartphone addiction and depression among engineering undergraduates.

METHODS

Using a multistage stratified random sampling method, a cross-sectional survey was conducted among 692 engineering undergraduates from a top engineering university in China, and data were collected by self-reported electronic questionnaires. The data included demographic characteristics, such as age, gender, the Smartphone Addiction Scale-Short Version (SAS-SV), the 9-item Patient Health Questionnaire, and the Pittsburgh Sleep Quality Index. Pearson correlation and multiple linear regression analyses were used to examine the association between smartphone addiction and depression, while structural equation models were established to evaluate the possible mediating role of sleep.

RESULTS

Based on the cutoffs of the SAS-SV, the rate of smartphone addiction was 63.58 percent, with 56.21 percent for women and 65.68 percent for men, among 692 engineering students. The prevalence of depression among students was 14.16 percent, with 17.65 percent for women, and 13.18 percent for men. Smartphone addiction was positively correlated with depression, and sleep played a significant mediating effect between the two, accounting for 42.22 percent of the total effect. In addition, sleep latency, sleep disturbances, and daytime dysfunction significantly mediated the relationship between depression and smartphone addiction. The mediating effect of sleep latency was 0.014 [P < 0.01; 95% confidence interval (CI): 0.006-0.027], the mediating effect of sleep disturbances was 0.022 (P < 0.01; 95%CI: 0.011-0.040), and the mediating effect of daytime dysfunction was 0.040 (P < 0.01; 95%CI: 0.024-0.059). The influence of sleep latency, sleep disturbances, and daytime dysfunction accounted for 18.42%, 28.95%, and 52.63% of the total mediating effect, respectively.

CONCLUSION

The results of the study suggest that reducing excessive smartphone use and improving sleep quality can help alleviate depression.

Does Pre-Service Teacher Preparation Affect Students’ Academic Performance? Evidence from China

Pre-service teacher preparation (PSTP) is generally considered a significant predictor of student achievements. This paper adopted a multi-tier linear model to estimate the PSTP effects on student performance by taking teachers and students in the high schools of Haidian District, Beijing, China, as the research population. It used exploratory factor analysis to classify PSTP into two categories: content knowledge preparation and pedagogical content knowledge preparation; and described the status of PSTP in three subjects: Chinese, mathematics, and chemistry. The study found differences in PSTP by subject. In Chinese, teachers’ content knowledge preparation significantly negatively affected student performance, and their pedagogical content knowledge preparation significantly positively influenced student performance. In mathematics, PSTP had no significant effect on student performance. In chemistry, teachers’ pedagogical content knowledge preparation had a significantly negative effect on student performance. Based on the findings of the empirical study, the study proposes further identifying PSTP’s role in student performance by subject, strengthening the focus on pre-service preparation skills in recruiting Chinese and chemistry teachers, and developing a more suitable system for teacher selection and training.

Educational Inequity and Skill Formation Differences Experienced by Floating Rural Students in the Process of Urbanization: A Case Study from a School Perspective

In the process of urbanization in China, the migrant worker population entering cities is an important force in building cities. The children of these migrant workers who do not have the qualifications to participate in college entrance examinations in the city generally become floating rural students. The education problem of the children of the migrant worker population entering the city is still insufficiently considered, and the education inequality and skill formation defects faced by floating rural students are worth paying attention to. This study selected P Middle School in Daxing District of Beijing as a case and took “input–process–output” as the thread to investigate and analyze the school’s source of students and enrollment situation, survival strategy and student graduation destination. It tried to present the original ecology of the school’s survival situation from the micro level and further interpret the education inequality and skill formation of floating rural students from the perspective of the school’s survival. Through the case study, we have found that the academic achievement of students in privately run schools for migrant workers’ children is not high. The level of teachers in these schools is low, and teacher turnover is high, resulting in a significant gap in the quality of education compared to public schools. The main source of funding for these schools is donations from members of the community, and government funding is inadequate. Floating rural students in privately run schools for migrant workers’ children have poor graduation destinations, with a low percentage of students going on to key high schools, and some students are forced to become returning children, facing institutional barriers to upward mobility through education. These aspects have led to education inequality and possible defects in the skill formation of floating rural students. We hope to clarify and grasp the actual situation of privately run schools for migrant workers’ children and put forward corresponding policy recommendations to help bridge the educational inequity in China.

Artificial intelligence ecosystem for computational psychiatry: Ideas to practice

Computational psychiatry is an emerging field that not only explores the biological basis of mental illness but also considers the diagnoses and identifies the underlying mechanisms. One of the key strengths of computational psychiatry is that it may identify patterns in large datasets that are not easily identifiable. This may help researchers develop more effective treatments and interventions for mental health problems. This paper is a narrative review that reviews the literature and produces an artificial intelligence ecosystem for computational psychiatry. The artificial intelligence ecosystem for computational psychiatry includes data acquisition, preparation, modeling, application, and evaluation. This approach allows researchers to integrate data from a variety of sources, such as brain imaging, genetics, and behavioral experiments, to obtain a more complete understanding of mental health conditions. Through the process of data preprocessing, training, and testing, the data that are required for model building can be prepared. By using machine learning, neural networks, artificial intelligence, and other methods, researchers have been able to develop diagnostic tools that can accurately identify mental health conditions based on a patient’s symptoms and other factors. Despite the continuous development and breakthrough of computational psychiatry, it has not yet influenced routine clinical practice and still faces many challenges, such as data availability and quality, biological risks, equity, and data protection. As we move progress in this field, it is vital to ensure that computational psychiatry remains accessible and inclusive so that all researchers may contribute to this significant and exciting field.

Career Education Skills and Career Adaptability among College Students in China: The Mediating Role of Career Decision-Making Self-Efficacy

In the past, the shift in career patterns and the unprecedented disruptions caused by events such as COVID-19 have posed notable challenges for job seekers. This holds particularly true for college students who are preparing to enter the workforce. In this context, enhancing career adaptability plays a vital role in shaping their career development. The primary objective of this research was to investigate the relationship between career education skills and career adaptability among 273 undergraduate students in China. Additionally, the study aimed to explore the mediating effect of career decision-making self-efficacy in shaping this relationship. The findings of the correlation analysis indicate a significant positive correlation between career education skills and career adaptability. Moreover, the results of the mediation model revealed that career education skills significantly contribute to improving career adaptability along with the mediating effect of college students' self-efficacy in making career decisions. This study suggests that universities should prioritize the development and expansion of career education initiatives. They should not only help establish clear career goals for college students but also cultivate a positive and flexible career outlook to assist them in better adapting to various changes that may arise throughout their career journeys.

Does attending elite colleges matter in the relationship between self-esteem and general self-efficacy of students in China?

This study analyzed the reciprocal relationship between self-esteem and general self-efficacy among students from both the elite and non-elite universities in China. Descriptive statistics showed that the levels of general self-efficacy remained stable among Chinese college students albeit with minor fluctuations, while their self-esteem continuously declined during the four academic years; students from elite universities had higher self-esteem than their counterparts from non-elite universities. Moreover, the general self-efficacy of students was significantly and positively correlated with their self-esteem at college. Using a four-wave cross-lagged model, we found that the self-esteem and general self-efficacy among elite university students reinforced each other from the freshman to the junior years, whereas the self-esteem of their equivalents from non-elite universities monodirectionally predicted their subsequent general self-efficacy levels from the sophomore to the senior years. The study adds to the literature by (1) exploring the directionality of the relationship between self-esteem and generalized self-efficacy with four-wave panel data, and (2) discussing the heterogeneity of the relationship among sub-groups of the college students. The study proposed that institutions of different tiers should take targeted interventions to boost students’ self-esteem and general self-efficacy.

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The general self-efficacy of college students fluctuated over the four years.

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Self-esteem and general self-efficacy were significantly positively correlated.

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The two variables were evidenced to have reciprocal interactions with each other.

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The relationships were heterogeneous regarding the elite university attendance.

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Colleges should take targeted interventions to build general self-efficacy.