ORIGINAL RESEARCH article

Front. Psychiatry, 16 June 2025

Sec. Adolescent and Young Adult Psychiatry

Volume 16 - 2025 | https://doi.org/10.3389/fpsyt.2025.1480992

This article is part of the Research TopicYouth Mental Health, Particularly in Asian PopulationsView all 89 articles

Comparison of depressive symptoms and eating behaviors among Japanese university students with subthreshold depression before and during the COVID-19 pandemic

  • Health Service Center, Hiroshima University, Higashi-Hiroshima, Japan

Background: The COVID-19 pandemic had exposed university students to unusual environmental stresses. High stress levels have been reported among adolescents with depressive symptoms. Subthreshold depression is highly prevalent among university students who are at high risk of developing clinical depression and other psychiatric disorders such as eating disorders. Therefore, this study aimed to investigate the effects of the pandemic on depressive symptoms and eating behaviors among Japanese university students with subthreshold depression from a cohort study.

Methods: A total of 555 fourth-year university students, 261 students before the pandemic and 294 students during the pandemic, were participated. The inclusion criteria were age 18–19 years and subthreshold depression upon entering the university and completed questionnaires at both university entrance and during their fourth year. We examined differences in depressive symptoms (Beck Depression Inventory II), eating behaviors (Eating Attitudes Test-26 and Bulimic Inventory Test, Edinburgh [BITE]), stress coping (Coping Inventory for Stressful Situations [CISS]), and the frequencies of the three depression groups (clinical, subthreshold, and healthy) before and during the pandemic. We also investigated the relationship between changes in depression and stress coping during the pandemic.

Results: There was no significant differences in depression frequency in the fourth year before and during the pandemic. However, the two-way ANOVA on the grade and time revealed significant interaction effects on the BITE scores for females (p < 0.05), and the BITE scores were significantly higher for fourth-year female students during the pandemic than those when they entered the university. Although a decrease in the CISS-emotion-oriented score was associated with a reduction in depressive symptoms both before and during the pandemic, a decrease in the CISS-task-oriented score was associated with an increased risk of depressive symptoms during the pandemic only in males.

Conclusion: Our results suggest that not only depressive but also bulimic symptoms should have been monitored among university students with subthreshold depression during the pandemic. Attention to stress-coping behaviors may be important for interventions to prevent the deterioration from subthreshold depression to clinical depression during a pandemic. However, the results could have been affected by many other factors, and further research is required.

Introduction

The coronavirus disease 2019 (COVID-19) pandemic has negatively affected adolescents’ mental health. Adolescents may have been more susceptible to the mental health impacts of the public health crisis than adults (1). Many studies have reported that the rates of depressive symptoms in university students during the pandemic were comparatively higher than before the pandemic (25). University students have experienced very high levels of anxiety and stress during the pandemic (6, 7). Studies of Japanese youth have demonstrated high rates of depressive symptoms (7, 8). Suicide rates and the number of high-risk students with suicidal ideation in Japanese universities increased during the pandemic (8, 9). Japan has not experienced any serious damage from new infectious diseases and the history of escapes might have given the Japanese greater anxiety and stress about new infectious diseases (10). Previous studies have reported that the pandemic exerted a negative influence on people who were already suffering from mental disorders (11, 12). Subthreshold depression is highly prevalent in adolescents, and is defined as clinically significant depressive symptoms that do not meet the diagnostic criteria for clinical depression (13). Despite being less severe than clinical depression, subthreshold depression in adolescence is characterized by high levels of comorbidities, functional impairment, and suicidal thoughts and behaviors (14). People with subthreshold depression are approximately twice as likely to develop clinical depression as those without (15). Therefore, investigating the effects of the pandemic on depressive symptoms of university students with subthreshold depression is crucial for the prevention and early intervention. The estimated prevalence of subthreshold depression is higher than that of clinical depression (14). A previous study suggested that subthreshold depression impairs young people’s quality of life and places them at a greater risk for developing clinical depression (16, 17). During the pandemic, high stress levels have been reported in individuals with pre-existing mental health disorders, especially anxiety and depression (18). Although information about the pandemic effects on the mental health of university students with subthreshold depression is essential, few studies have investigated them. A study showed that the prevalence of subthreshold depressive episodes were 14.3% and associations with social and economic factors differ according to the level of such symptoms in university students during the pandemic (19). People with subthreshold depression are more likely to develop other psychiatric disorders such as eating disorders and stress-related diseases (14, 16, 17, 20). A study of university students found an overall low quality of life during the pandemic (21). Pandemic-induced disruptions in daily routines caused changes in usual patterns of eating, physical activity and stress coping behavior (2224). Therefore, further research comparing the mental health, including depressive symptoms and eating behaviors, of university students with subthreshold depression before and during the pandemic is needed. Moreover, previous studies have suggested that stress coping style was one factor contributing to adolescents’ increased vulnerability to depression (25). Stress coping behaviors play an important role in reducing stress and consequently affect the occurrence of stress−related diseases, such as depression (26, 27). Therefore, understanding the role of stress-coping behaviors in the development of depression during a pandemic would provide a useful perspective for providing more effective support to university students with subthreshold depression during unusual times.

Several studies have reported that pandemic worsened the eating disorder psychopathology (28, 29). University students are particularly affected by mood and eating problems (30). Eating disorders are more common among females than males and are an important cause of physical and psychosocial morbidity in young females. An increase in eating disorders is associated with academic stress, interpersonal relationships and environmental factors. The pandemic has been a leading cause of stress and feelings of loss of control, both of which are related to the onset and progression of eating disorders (22). Depressive symptoms, including subthreshold levels, are associated with an increased risk of disordered eating behaviors (14, 20, 31, 32). However, little is known about the effects of the pandemic on eating behaviors among university students with subthreshold depression.

This study investigated the effects of the COVID-19 pandemic on depressive symptoms and eating behaviors among Japanese university students with subthreshold depression upon university entrance, deepening the analysis of the relationship between changes in depressive symptoms and stress coping behaviors. In this study, we evaluated depressive symptoms, eating behaviors, and stress coping styles upon university entrance and during the fourth year, and compared them between students before and during the pandemic. We hypothesized that fourth-year students would display more depressive symptoms and disordered eating behaviors during rather than before the pandemic.

Methods

Participants

The participants were Japanese fourth-year students at Hiroshima University from 2017–2019 (before the pandemic) and 2021–2022 (during the pandemic). The inclusion criteria were age 18–19 years at the time of entry into university, completed questionnaires at both university entrance and during their fourth year, and had subthreshold depressive symptoms upon university entrance.

Procedures

This study was conducted at two health checkup time points: university entrance and the first quarter of the fourth year. Questionnaires were administered as part of annual checkups. Students were informed and guided to fill out the questionnaire through mail (first-year students) or bulletin board (fourth-year students), and they answered the questionnaire. The questionnaire consisted of two sections. The first section recorded participant baseline (age, sex, height, and weight). The second section included four scales: Beck Depression Inventory II (BDI-II) (33), Eating Attitudes Test-26 (EAT-26) (34), Bulimic Inventory Test, Edinburgh (BITE) (35), and Coping Inventory for Stressful Situations (CISS) (36). Based on previous studies, we divided the students into three categories based on depressive symptoms determined by BDI-II scores for clinical, subthreshold, and healthy groups at university entrance (31, 37). Therefore, students were classified as part of the subthreshold group according to BDI-II scores ranging from 10 to 17 at university entrance.

To investigate the pandemic effects on the mental conditions of fourth-year students, we examined BDI-II, EAT-26, BITE and CISS scores of the fourth-year students who had subthreshold depressive symptoms upon university entrance, and then compared the scores before and during the pandemic. We also examined the correlation between the BDI-II and the EAT-26 and BITE and defined fourth-year students with severely disordered eating behaviors as having scores of 20 or more points on the EAT-26 and BITE. Moreover, we examined the differences in stress-coping abilities among students who deteriorated from subthreshold to clinical (exacerbated group), those who remained subthreshold (unchanged group), and those who improved from subthreshold to healthy (improved group). The study protocol was reviewed and approved by the Ethics Committee of Hiroshima University School of Medicine, Japan (approval number: E2019-1767) and was conducted in accordance with the Declaration of Helsinki. Although the questionnaires were administered as part of an annual checkup, informed consent was obtained in the form of opt-outs.

Measures

Beck depression inventory II

The original BDI-II, developed by Beck et al. (33), consists of 21 self-reported items rated on a 4-point scale and is used to measure depressive symptoms. The cutoff point for clinical depression is a score of 18 on the BDI-II. A cutoff score of 18 yielded a sensitivity of 94% and a specificity of 92%, and a cutoff score of 10 yielded a sensitivity of 100% and a specificity of 70% (37). The clinical group was defined as having BDI-II scores of 18 or more, the subthreshold group was defined as having scores ranging from 10 to 17, and the healthy group was defined as having scores of 9 or less. Cronbach’s alpha coefficient was 0.87 (38). The reliability and validity of the Japanese version of the BDI-II have been previously demonstrated (39).

Eating attitudes test-26

The EAT-26 is a 26-item self-report questionnaire that assesses eating attitudes and is a reliable and valid instrument (34). Answers are provided on a 6-point scale ranging from “not at all” to “extremely.” The cutoff score is 20 points; scores greater than 20 indicating a high possibility of eating disorders. Mann et al. (40) reported that a threshold of 20 yielded a sensitivity of 88% and a specificity of 96%. Cronbach’s alpha coefficients ranged from 0.85–0.94 (41). The reliability and validity of the Japanese version of the EAT-26 have been demonstrated (42, 43).

Bulimic inventory test, Edinburgh

The BITE is a self-reported measure of bulimic symptoms that consists of a symptom evaluation scale (30 items) and severity scale (6 items) (35). The symptom evaluation scale is scored as yes or no, with a minimum score of 0 and a maximum score of 30. The cutoff score was 20 points; symptom subscale scores greater than 20 indicated the presence of binge eating behavior and a high possibility of bulimia nervosa. Cronbach’s alpha coefficient was 0.96. The reliability and validity of the Japanese version of the BITE have been demonstrated (44).

Coping inventory for stressful situations

The CISS is a 48-item self-report measure scored on a 5-point scale that consists of three subscales to evaluate coping behaviors: task-oriented (CISS-T) (directly managing a stressor to reduce distress), emotion-oriented (CISS-E) (coping with the emotions and feelings aroused by the stressor), and avoidance-oriented (CISS-A) (seeking distractions) coping (36, 45). We used the Japanese version (46). Cronbach’s alpha coefficients ranged from 0.75–0.89 (47).

Data analysis

SPSS version-28 (IBM Corporation, Armonk, NY, USA) was used for the statistical analyses. The participants’ characteristics were averaged. We used two-way analysis of variance (ANOVA) to compare scores by grade and time. Chi-square and residual analyses were used to compare the frequencies of depressive symptoms among the three groups. To investigate the relationship between changes in depressive symptoms and stress-coping behaviors, we conducted a two-way ANOVA to compare the CISS scores by grade and depression group. The statistical significance level was set at p < 0.05.

Results

Participants

A total of 555 students, who had subthreshold depressive symptoms at university entrance, completed questionnaires at both university entrance and during their fourth year participated. Of these 261 were fourth-year students (152 males and 109 females) before the pandemic and 294 were fourth-year students (157 males and 137 females) during the pandemic (Figure 1). The annual checkup results are presented in Table 1.

Figure 1
www.frontiersin.org

Figure 1. Participant flow chart.

Table 1
www.frontiersin.org

Table 1. Results of the annual checkups.

Questionnaire results

Results of BDI-II, EAT-26, BITE and CISS are shown in Table 2. A score of 20 or more points on the EAT-26 and BITE indicates the presence of severely disordered eating behaviors. The percentage of fourth-year students (EAT-26 scores ≥ 20) was 1.3% of males and 0.0% of females before the pandemic and 0.6% of males and 5.8% of females during the pandemic. The percentage of fourth-year students (BITE scores ≥ 20) was 1.3% of males and 2.8% of females before the pandemic and 3.8% of males and 8.0% of females during the pandemic.

Table 2
www.frontiersin.org

Table 2. Results of the questionnaires.

We examined the correlation between the BDI-II, EAT, and BITE. Before the pandemic, a significant positive correlation between BDI-II and EAT scores was observed for females in the fourth year (r = 0.254, p < 0.01). During the pandemic, significant positive correlations were observed in males (r = 0.237, p < 0.01) and females (r = 0.354, p < 0.001) in the fourth year. Furthermore, before the pandemic, significant positive correlations between BDI-II and BITE scores were observed for males both at university entrance (r = 0.200, p < 0.05) and in the fourth year (r = 0.240, p < 0.01) and for females in the fourth year (r = 0.215, p < 0.05). During the pandemic, significant positive correlations were observed for males both at university entrance (r = 0.165, p < 0.05) and in the fourth year (r = 0.215, p < 0.05) and for females both at university entrance (r = 0.187, p < 0.05) and in the fourth year (r = 0.444, p < 0.001).

Comparison of questionnaires before and during the pandemic

We conducted a two-way ANOVA on the grade and time for each scale to compare scores before and during the pandemic. The results are summarized in Table 2. For females, the two-way ANOVA revealed significant interaction effects [BITE: F (1,244)= 4.92, p < 0.05]. Next, we examined the simple main effects of grade and time. During the pandemic, fourth-year students scored significantly higher on the BITE than when they entered university (p < 0.01). For males, the two-way ANOVA revealed no significant interaction effects for any scale.

Three categories of depressive symptoms in the fourth year

The three categories of depressive symptoms in the fourth year before the pandemic were: clinical (19.7% of males, 25.7% of females), subthreshold (38.8% of males, 36.7% of females), and healthy (41.4% of males, 37.6% of females). During the pandemic, the categories were clinical (19.1% of males, 27.7% of females), subthreshold (29.3% of males, 24.8% of females), and healthy (51.6% of males, 47.4% of females). The chi-squared test revealed no significant differences before and during the pandemic, both for males and females. The results are summarized in Table 3.

Table 3
www.frontiersin.org

Table 3. Three categories of depressive symptoms in the fourth year.

Comparison of CISS scores among three groups of depression in the fourth year

Before the pandemic, the two-way ANOVA on grade and group for the CISS scores showed significant interaction effects [CISS-E: F (2,149) = 6.89, p < 0.01] for males. The results are summarized in Table 4. Next, we examined the simple main effects of grade and group, and the results differed significantly in grade and group. There were significant differences in the CISS-E scores between the exacerbated and improved groups (p < 0.001) and between the exacerbated and unchanged groups (p < 0.01) in the fourth year. The CISS-E scores of the improved group was significantly lower in the fourth year than in the first year (p < 0.001). For females, the two-way ANOVA revealed significant interaction effects [CISS-E: F (2,106) = 7.94, p < 0.001]. We examined the simple main effects of the grades and groups. For the CISS-E, there were significant differences between the exacerbated and improved groups (p < 0.001) and between the improved and unchanged groups (p < 0.01) in the fourth year. The CISS-E scores of the exacerbated group were significantly higher (p < 0.05), and the scores of the improved group were significantly lower (p < 0.01) in the fourth year than in the first year.

Table 4
www.frontiersin.org

Table 4. Comparison of CISS scores among three groups in the fourth year before the pandemic.

During the pandemic, the two-way ANOVA on grade and group for the CISS scores showed significant interaction effects [CISS-T: F (2,154) = 6.93, p < 0.01; CISS-E: F (2,154) = 3.70, p < 0.05] for males. The results are summarized in Table 5. We examined the simple main effects of the grades and groups. For the CISS-T scores, there was a significant difference between the exacerbated and improved groups in the fourth year (p < 0.05). The CISS-T scores of the exacerbated group were significantly lower (p < 0.01), and the score of the improved group was significantly higher (p < 0.05) in the fourth year than in the first year. For the CISS-E scores, significant differences were observed between the improved group and the exacerbated and unchanged groups in the fourth year (p < 0.05). The CISS-E scores of the improved group were significantly lower in the fourth year than in the first year (p < 0.001). For females, two-way ANOVA on grade and group for the CISS scores showed significant interaction effects [CISS-E: F (2,134) = 9.86, p < 0.001]. We examined the simple main effects of grade and group, and the results differed significantly in grade and group. There were significant differences in the CISS-E scores between the exacerbated and improved groups (p < 0.001) and between the improved and unchanged groups (p < 0.05) in the fourth year. The CISS-E scores of the improved group were significantly lower in the fourth year than in the first year (p < 0.001).

Table 5
www.frontiersin.org

Table 5. Comparison of CISS scores among three groups in the fourth year during the pandemic.

Discussion

In this study, there was no significant difference in the frequency of depressive symptoms for students in the fourth year before and during the pandemic; however, female students had an increase in bulimic symptoms during the pandemic. Additionally, although the decrease in CISS-E scores was commonly associated with a reduction in depressive symptoms both before and during the pandemic, the decrease in CISS-T scores was associated with an increased risk of depressive symptoms only in males during the pandemic.

For depressive symptoms, there was no significant interaction effect on BDI-II between grade and time for males and females. Contrary to our prediction, no significant difference was observed in the frequency of depressive symptoms before and during the pandemic. According to a recent review, a substantial group of individuals has been largely unaffected or are even performed better during the pandemic (48). A study in the United States reported that adolescents with elevated mental health problems before the pandemic experienced a significant reduction in these problems 1 month after school closures (49). People with depressive symptoms had a detrimental impact on their mental health during the pandemic, although did not seem to have further increased symptom severity compared with their pre-pandemic levels (50). The results of this study are similar to those of previous studies. There are several possible explanations for this. Staying at home due to the pandemic gave students fewer opportunities for interpersonal communication and helped them build a structured and fixed daily routine, which has been expressed as a preferable setting for providing a feeling of safety (51). A study of adolescents reported that almost half the participants felt that the pandemic also exerted positive effects (52). However, social isolation and depression are likely to interact with each other (53), and distancing and social isolation were adopted around the world during the pandemic. A previous study suggested that young adults had the potential to experience resilience during the pandemic, had a relatively low risk of health complications from COVID-19, and were competent at using social media to connect with others (54). Social media is a representative tool that enables communication and social exchange with others even when isolated, especially for younger people (55). Although the pandemic caused unusual environmental stress in university students, some students might also have experienced a preferable impact on their new lifestyle, thus there might be no significant difference in the frequencies of depressive symptoms in the fourth year before and during the pandemic. However, we did not examine how students felt about the changes in their environment during the pandemic. Therefore, further research is needed.

The BITE scores were significantly higher for fourth-year female students during the pandemic than when they entered university. There was a significant interaction effect between grade and time on BITE scores for females. Positive correlations were observed between BDI-II and BITE scores for males and females in the fourth year, and the percentage of fourth-year students with severely disordered eating behaviors increased during the pandemic compared to before the pandemic. Several studies on eating disorders have reported worsening symptoms during the pandemic (28, 29). Women’s body dissatisfaction and physical appearance comparisons seem to have increased throughout the pandemic (56). Recent studies have determined that adolescents still suffer from problematic eating (mostly binge eating) that began during the pandemic and express concerns about their appearance (57). A study on college students reported that frequencies of bulimia nervosa or binge eating disorders were greater during (vs. before) the pandemic, which was not observed for anorexia nervosa (58). These findings are consistent with our results. In stressful and fearful situations, such as during a pandemic, changes in everyday eating behaviors may occur (59). Touyz et al. (60) suggested that higher rates of bulimia nervosa or binge eating disorders might be explained by stockpiling groceries, restrictions in exercising, and difficulty in abstaining from food while at home (58, 60). The problematic eating behaviors persisted once they appeared. The presence of any degree of eating disorder symptoms is associated with decreased quality of life compared to individuals without any symptoms (61). Several studies have reported that bulimic symptoms are highly comorbid with depressive symptoms and associated with the development of depressive symptoms (62). Thus, the early detection of bulimic symptoms in university students is necessary. Our results suggest that it is important to pay attention not only to depressive symptoms but also to bulimic symptoms during the pandemic.

Stress coping behaviors affect the occurrence of stress−related diseases (26, 27). The strategies that may be used to cope with stress and/or trauma will differ between individuals (63, 64). A recent study of academic staff of a university reported that the coping strategy utilized by the respondents was taking alcohol or drugs and few of the respondents used a positive reinterpretation and growth as a coping style as they looked for something good in what is happening (65). A study of firefighters showed that firefighters using the coping mechanisms of minimization and blame were associated with the greater likelihood of PTSD (64). Previous studies on adolescents suggested that stress coping style is a factor contributing to their increased vulnerability to depression (25). In this study, there was a significant interaction effect between the grade and depression groups on the CISS-E scores of males and females both before and during the pandemic. Emotion-oriented coping is an emotional response to a problem that is considered a non-adaptive aspect of coping and is associated with psychological distress (66). Reducing non-adaptive coping behaviors may have the most positive impact on reducing depression, anxiety, and stress (67). Similar to previous reports, this study showed that a decrease in CISS-E scores in the depression-improved group was common in males and females before and during the pandemic. Additionally, a significant interaction effect was observed between grade and depression group on CISS-T scores of males during the pandemic, which was not observed before the pandemic in this study. Compared to the improved group, males in the exacerbated group had significantly lower CISS-T scores in their fourth year in males. Task-oriented coping involves solving a problem, cognitive restructuring of the problem, or attempts to alter the situation, and aims to directly manage a stressor to reduce distress. A review of methods used by the general population to cope with emergent infectious diseases reported that task-oriented coping allowed respondents to actively reduce feelings of uncertainty and increase feelings of control over their health in the 24 studies analyzed (68, 69). A previous study suggested that psychological support focused on strengthening adaptive strategies of coping with stressful situations is important (12). One study showed that task-oriented coping was an effective approach to reducing stress during the pandemic (24, 70). Coping is effective when an individual can moderate stress (45). The controllability of a situation can be either real or perceived (68, 71). Male students who tend to use task-oriented coping may perceive unusual environmental stresses as controllable and reduce depressive symptoms. A recent study suggested that the awareness of an effective and adaptive coping strategy is imperative to safeguard the mental health (65). Therefore, in stressful situations such as the pandemic, this result suggests that increasing task-oriented coping might be associated with reduced depressive symptoms, especially in males.

This study has a few limitations. First, this study only considered depressive symptoms, eating behaviors, and stress coping as effects of the pandemic. Future studies should consider how students feel about the changes in their environments during the pandemic. Second, depressive symptoms or eating behaviors can be affected by socio-economic status, other mental health conditions, cultural factors and many other factors. Future studies should address these factors. Third, our results were limited to a single university, fourth-year students, and a certain period. Future research should be expanded to other years and include other universities. Finally, we did not conduct interim assessments in this study. Longitudinal data collection could provide more robust insights. Future studies should include interim assessments.

Conclusions

Our results showed that the COVID-19 pandemic did not increase the rate of depressive symptoms among fourth-year university students who had subthreshold depression upon university entrance. However, there was a difference in changes for stress-coping behaviors associated with an increased risk of depressive symptoms. Additionally, the pandemic increased bulimic symptoms of female students. Problematic eating behaviors persist once they appear and are associated with the development of depressive symptoms. Therefore, we should monitor not only depressive symptoms but also bulimic symptoms and stress-coping behaviors among university students with subthreshold depression to prevent deterioration from subthreshold depression to clinical depression during s pandemic. The results of this study may contribute evidence to provide future psychological support and early intervention for stressful situations among university students.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.

Ethics statement

The studies involving humans were approved by The Ethics Committee of the Hiroshima University School of Medicine, Japan. The studies were conducted in accordance with the local legislation and institutional requirements. Informed consent to participate in this study was obtained in the form of opt-outs.

Author contributions

YM: Conceptualization, Data curation, Formal analysis, Investigation, Writing – original draft, Writing – review & editing. KT: Conceptualization, Formal analysis, Writing – review & editing. AY: Conceptualization, Investigation, Writing – review & editing, Data curation. YO: Conceptualization, Investigation, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This study was partially supported by JSPS KAKENHI Grant Number 22K07561.

Acknowledgments

The authors would like to thank editage for providing English editing of the manuscript.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Shen C, Smith RB, Heller J, Spiers ADV, Thompson R, Ward H, et al. Depression and anxiety in adolescents during the COVID-19 pandemic in relation to the use of digital technologies: longitudinal cohort study. J Med Internet Res. (2024) 7:26:e45114. doi: 10.2196/45114

PubMed Abstract | Crossref Full Text | Google Scholar

2. Nagib N, Horita R, Miwa T, Adachi M, Tajirika S, Imamura N, et al. Impact of COVID-19 on the mental health of Japanese university students (years II-IV). Psychiatry Res. (2023) 325:115244. doi: 10.1016/j.psychres.2023.11524

PubMed Abstract | Crossref Full Text | Google Scholar

3. Li Y, Wang A, Wu Y, Han N, and Huang H. Impact of the COVID-19 pandemic on the mental health of college students: a systematic review and meta analysis. Front Psychol. (2021) 12:669119. doi: 10.3389/fpsyg.2021.669119

PubMed Abstract | Crossref Full Text | Google Scholar

4. Fruehwirth JC, Biswas S, and Perreira KM. The Covid-19 pandemic and mental health of first-year college students: examining the effect of Covid-19 stressors using longitudinal data. PloS One. (2021) 16:e0247999. doi: 10.1371/journal.pone.0247999

PubMed Abstract | Crossref Full Text | Google Scholar

5. Wang C, Wen W, Zhang H, Ni J, Jiang J, Cheng Y, et al. Anxiety, depression, and stress prevalence among college students during the COVID-19 pandemic: a systematic review and meta-analysis. J Am Coll Health. (2023) 71:2123–30. doi: 10.1080/07448481.2021.1960849

PubMed Abstract | Crossref Full Text | Google Scholar

6. Son C, Hegde S, Smith A, Wang X, and Sasangohar F. Effects of COVID-19 on college students’ mental health in the United States: Interview survey study. J Med Internet Res. (2020) 22:e21279. doi: 10.2196/21279

PubMed Abstract | Crossref Full Text | Google Scholar

7. Takagaki K and Yokoyama S. Factors associated with university students’ deterioration from subthreshold depression to depression before and during the COVID-19 pandemic. Behav Sci (Basel). (2023) 13:72. doi: 10.3390/bs13010072

PubMed Abstract | Crossref Full Text | Google Scholar

8. Fuse-Nagase Y, Marutani T, Tachikawa H, Iwami T, Yamamoto Y, Moriyama T, et al. Increase in suicide rates among undergraduate students in Japanese national universities during the COVID-19 pandemic. Psychiatry Clin Neurosci. (2021) 75:351–2. doi: 10.1111/pcn.13293

PubMed Abstract | Crossref Full Text | Google Scholar

9. Horita R, Nishio A, and Yamamoto M. Lingering effects of COVID-19 on the mental health of first-year university students in Japan. PloS One. (2022) 17:e0262550. doi: 10.1371/journal.pone.0262550

PubMed Abstract | Crossref Full Text | Google Scholar

10. Nagasu M, Muto K, and Yamamoto I. Impacts of anxiety and socioeconomic factors on mental health in the early phases of the COVID-19 pandemic in the general population in Japan: A web-based survey. PloS One. (2021) 16:e0247705. doi: 10.1371/journal.pone.0247705

PubMed Abstract | Crossref Full Text | Google Scholar

11. Raval N. Mental health implications of COVID-19 in India. IJHW. (2020) 11:276–81.

Google Scholar

12. Twardowska-Staszek E, Biel K, Rostek I, and Seredyńska A. Causes of stress among poles and how they cope with stress during the COVID-19 pandemic. Front Psychiatry. (2022) 6:829918. doi: 10.3389/fpsyt.2022.829918

PubMed Abstract | Crossref Full Text | Google Scholar

13. Pincus HA, Davis WW, and McQueen LE. Subthreshold mental disorders. A review and synthesis of studies on minor depression and other brand names. Br J Psychiatry. (1999) 174:288–96. doi: 10.1192/bjp.174.4.288

PubMed Abstract | Crossref Full Text | Google Scholar

14. Noyes BK, Munoz DP, Khalid-Khan S, Brietzke E, and Booij L. Is subthreshold depression in adolescence clinically relevant? J Affect Disord. (2022) 309:123–30. doi: 10.1016/j.jad.2020.03.111

PubMed Abstract | Crossref Full Text | Google Scholar

15. Lee YY, Stockings EA, Harris MG, Doi SAR, Page IS, Davidson SK, et al. The risk of developing major depression among individuals with subthreshold depression: A systematic review and meta-analysis of longitudinal cohort studies. Psychol Med. (2019) 49:92–102. doi: 10.1017/S0033291718000557

PubMed Abstract | Crossref Full Text | Google Scholar

16. Balázs J, Miklósi M, Keresztény A, Hoven CW, Carli V, Wasserman C, et al. Adolescent subthreshold-depression and anxiety: Psychopathology, functional impairment, and increased suicide risk. J Child Psychol Psychiatry. (2013) 54:670–7. doi: 10.1111/jcpp.12016

PubMed Abstract | Crossref Full Text | Google Scholar

17. Shiraishi N, Sakata M, Toyomoto R, Yoshida K, Luo Y, Nakagami Y, et al. Three types of university students with subthreshold depression characterized by distinctive cognitive behavioral skills. Cognit Behav Ther. (2024) 53:207–19. doi: 10.1080/16506073.2023.2288557

PubMed Abstract | Crossref Full Text | Google Scholar

18. Torales J, Rios-Gonzalez C, Barrios L, O’Higgins M, González I, Garcia O, et al. Selfperceived stress during the quarantine of the COVID-19 pandemic in Paraguay: an exploratory survey. Front Psychiatry. (2020) 11:558691. doi: 10.3389/fpsyt.2020.558691

PubMed Abstract | Crossref Full Text | Google Scholar

19. Langer ÁI, Crockett MA, Bravo-Contreras M, Carrillo-Naipayan C, Chaura-Marió M, Gómez-Curumilla B, et al. Social and economic factors associated with subthreshold and major depressive episode in university students during the COVID-19 pandemic. Front Public Health. (2022) 18:893483. doi: 10.3389/fpubh.2022.893483

PubMed Abstract | Crossref Full Text | Google Scholar

20. Johnson JG, Cohen P, and Kasen S. Minor depression during adolescence and mental healthoutcomes during adulthood. Br J Psychiatry. (2009) 195:264–5. doi: 10.1192/bjp.bp.108.054239

PubMed Abstract | Crossref Full Text | Google Scholar

21. Strzelecka A, Gotlib-Małkowska J, Chmielewski J, Wojciechowska M, Kordyzon M, Rębak D, et al. Effect of COVID-19 pandemic on health behaviours of students of medical specialities from the aspect of psychological support based on a Polish example. Ann Agric Environ Med. (2024) 31:560–5. doi: 10.26444/aaem/193622

PubMed Abstract | Crossref Full Text | Google Scholar

22. Güzel Â, Mutlu NL, and Molendijk M. COVID-19-related changes in eating disorder pathology, emotional and binge eating and need for care: a systematic review with frequentist and Bayesian meta-analyses. Eat Weight Disord. (2023) 28:19. doi: 10.1007/s40519-023-01547-2

PubMed Abstract | Crossref Full Text | Google Scholar

23. Haghshomar M, Shobeiri P, Brand S, Rossell SL, Akhavan Malayeri A, and Rezaei N. Changes of symptoms of eating disorders (ED) and their related psychological health issues during the COVID-19 pandemic: a systematic review and meta-analysis. J Eat Disord. (2022) 10:1–8. doi: 10.1186/s40337-022-00550-9

PubMed Abstract | Crossref Full Text | Google Scholar

24. Götmann A and Bechtoldt MN. Coping with COVID-19 - Longitudinal analysis of coping strategies and the role of trait mindfulness in mental well-being. Pers Individ Dif. (2021) 175:110695. doi: 10.1016/j.paid.2021.110695

PubMed Abstract | Crossref Full Text | Google Scholar

25. Nolen-Hoeksema S and Girgus JS. The emergence of gender differences in depression during adolescence. Psychol Bull. (1994) 115:424–43. doi: 10.1037/0033-2909.115.3.424

PubMed Abstract | Crossref Full Text | Google Scholar

26. Javadi-Pashaki N and Darvishpour A. Survey of stress and coping strategies to predict the general health of nursing staff. J Educ Health Promot. (2019) 8:74. doi: 10.4103/jehp.jehp_355_18

PubMed Abstract | Crossref Full Text | Google Scholar

27. Zeighami M and Pour Bahaadini Zarandi N. The relationship between academic achievement and students’ general health and coping styles: A study on nursing, midwifery and health students of Islamic Azad University – Kerman branch. Strides Dev Med Educ. (2011) 8:41−8.

Google Scholar

28. Branley-Bell D and Talbot CV. Exploring the impact of the COVID-19 pandemic and UK lockdown on individuals with experience of eating disorders. J Eat Disord. (2020) 8:44. doi: 10.1186/s40337-020-00319-y

PubMed Abstract | Crossref Full Text | Google Scholar

29. Schlegl S, Maier J, Meule A, and Voderholzer U. Eating disorders in times of the COVID-19 pandemic-results from an online survey of patients with anorexia nervosa. Int J Eat Disord. (2020) 53:1791–800. doi: 10.1002/eat.23374

PubMed Abstract | Crossref Full Text | Google Scholar

30. De Pasquale C, Sciacca F, Conti D, Pistorio ML, Hichy Z, Cardullo RL, et al. Relations between mood states and eating behavior during COVID-19 pandemic in a sample of italian college students. Front Psychol. (2021) 12:684195. doi: 10.3389/fpsyg.2021.684195

PubMed Abstract | Crossref Full Text | Google Scholar

31. Jinnin R, Okamoto Y, Takagaki K, Nishiyama Y, Yamamura T, Okamoto Y, et al. Detailed course of depressive symptoms and risk for developing depression in late adolescents with subthreshold depression: a cohort study. Neuropsychiatr Dis Treat. (2016) 13:25–33. doi: 10.2147/NDT.S117846

PubMed Abstract | Crossref Full Text | Google Scholar

32. Miyake Y, Okamoto Y, Takagaki K, and Yoshihara M. Changes in eating attitudes and risk for developing disordered eating behaviors in college students with subthreshold eating disorders: A cohort study. Psychopathology. (2023) 56:276–84. doi: 10.1159/000527604

PubMed Abstract | Crossref Full Text | Google Scholar

33. Beck A, Steer R, and Brown G. Manual for the beck depression inventory-II. San Antonio, TX: Psychological Corporation (1996).

Google Scholar

34. Garner DM, Olmsted MP, Bohr Y, and Garfinkel PE. The eating attitudes test: psychometric features and clinical correlates. Psychol Med. (1982) 12:871–8. doi: 10.1017/s0033291700049163

PubMed Abstract | Crossref Full Text | Google Scholar

35. Henderson M and Freeman CP. A self-rating scale for bulimia. The ‘BITE’. Br J Psychiatry. (1987) 150:18–24. doi: 10.1192/bjp.150.1.18

PubMed Abstract | Crossref Full Text | Google Scholar

36. Endler NS and Parker JDA. Coping inventory for stressful situations (CISS): manual. Toronto: Malti- Health Systems Inc (1990).

Google Scholar

37. Arnau RC, Meagher MW, Norris MP, and Bramson R. Psychometric evaluation of the Beck Depression Inventory-II with primary care medical patients. Health Psychol. (2001) 20:112–9. doi: 10.1037//0278-6133.20.2.112

PubMed Abstract | Crossref Full Text | Google Scholar

38. Kojima M and Furukawa T. Japanese version of the beck depression inventory. 2nd ed. Tokyo: Nippon-Hyoron-sha Co, Tokyo (2003).

Google Scholar

39. Kojima M, Furukawa TA, Takahashi H, Kawai M, Nagaya T, and Tokudome S. Cross-cultural validation of the beck depression inventory-II in Japan. Psychiatry Res. (2002) 110:291–9. doi: 10.1016/s0165-1781(02)00106-3

PubMed Abstract | Crossref Full Text | Google Scholar

40. Mann AH, Wakeling A, Wood K, Monck E, Dobbs R, and Szmukler G. Screening for abnormal eating attitudes and psychiatric morbidity in an unselected population of 15-year-old schoolgirls. Psychol Med. (1983) 13:573–80. doi: 10.1017/s0033291700047991

PubMed Abstract | Crossref Full Text | Google Scholar

41. Siervo M, Boschi V, Papa A, Bellini O, and Falconi C. Application of the SCOFF, eating attitudes test 26 (EAT 26) and eating inventory (TFEQ) questionnaires in young women seeking diet-therapy. Eat Weight Disord. (2005) 10:76–82. doi: 10.1007/BF03327528

PubMed Abstract | Crossref Full Text | Google Scholar

42. Nakai Y. Validity of the Japanese version of eating attitudes test (EAT). Seishin Igaku. (2003) 45:161–5.

Google Scholar

43. Mukai T, Crago M, and Shisslak CM. Eating attitudes and weight preoccupation among female high school students in Japan. J Child Psychol Psychiatry. (1994) 35:677–88. doi: 10.1111/j.1469-7610.1994.tb01213.x

PubMed Abstract | Crossref Full Text | Google Scholar

44. Nakai Y and Noma S. Evaluation method of eating disorder symptoms. Modern Physician. (2007) 27:785–8.

Google Scholar

45. Jensen C, Forlini C, Partridge B, and Hall W. Australian university students’ coping strategies and use of pharmaceutical stimulants as cognitive enhancers. Front Psychol. (2016) 7:277. doi: 10.3389/fpsyg.2016.00277

PubMed Abstract | Crossref Full Text | Google Scholar

46. Furukawa T, Suzuki-Moor A, Saito Y, and Hamanaka T. Reliability and validity of the Japanese version of the coping inventory for stressful situations (CISS): a contribution to the cross-cultural studies of coping. Seishin Shinkeigaku Zasshi. (1993) 95:602–20. doi: 10.2466/08.02.PR0.116k23w6

PubMed Abstract | Crossref Full Text | Google Scholar

47. Watanabe K, Yokoyama K, and Furukawa TA. Reliability and validity of the Japanese version of the coping inventory for adults for stressful situations in healthy people. Psychol Rep. (2015) 116:447–69. doi: 10.2466/08.02.PR0.116k23w6

PubMed Abstract | Crossref Full Text | Google Scholar

48. Manchia M, Gathier AW, Yapici-Eser H, Schmidt MV, de Quervain D, van Amelsvoort T, et al. The impact of the prolonged COVID-19 pandemic on stress resilience and mental health: A critical review across waves. Eur Neuropsychopharmacol. (2022) 55:22–83. doi: 10.1016/j.euroneuro.2021.10.864

PubMed Abstract | Crossref Full Text | Google Scholar

49. Penner F, Hernandez OJ, and Sharp C. Change in youth mental health during the COVID-19 pandemic in a majority Hispanic/Latinx US sample. J Am Acad Child Adolesc Psychiatry. (2021) 60:513–23. doi: 10.1016/j.jaac.2020.12.027

PubMed Abstract | Crossref Full Text | Google Scholar

50. Pan KY, Kok AAL, Eikelenboom M, Horsfall M, Jorg F, Luteijn RA, et al. The mental health impact of the COVID-19 pandemic on people with and without depressive, anxiety, or obsessive-compulsive disorders: a longitudinal study of three Dutch case-control cohorts. Lancet Psychiatry. (2021) 8:121–9. doi: 10.1016/S2215-0366(20)30491-0

PubMed Abstract | Crossref Full Text | Google Scholar

51. Pelto-Piri V, Wallsten T, Hylen U, Nikban I, and Kjellin L. Feeling safe or unsafe in psychiatric inpatient care, a hospital-based qualitative interview study with inpatients in Sweden. Int J Ment Health Syst. (2019) 13:23–32. doi: 10.1186/s13033-019-0282-y

PubMed Abstract | Crossref Full Text | Google Scholar

52. Oosterhoff B, Palmer CA, Wilson J, and Shook N. Adolescents’ Motivations to engage in social distancing during the COVID-19 pandemic: associations with mental and social health. J Adolesc Health. (2020) 67:179–85. doi: 10.1016/j.jadohealth.2020.05.004

PubMed Abstract | Crossref Full Text | Google Scholar

53. Zhu S, Kong X, Han F, Tian H, Sun S, Sun Y, et al. Association between social isolation and depression: Evidence from longitudinal and Mendelian randomization analyses. J Affect Disord. (2024) 350:182–7. doi: 10.1016/j.jad.2024.01.106

PubMed Abstract | Crossref Full Text | Google Scholar

54. Shanahan L, Steinhoff A, Bechtiger L, Murray AL, Nivette A, Hepp U, et al. Emotional distress in young adults during the COVID-19 pandemic: evidence of risk and resilience from a longitudinal cohort study. Psychol Med. (2022) 52:824–33. doi: 10.1017/S003329172000241X

PubMed Abstract | Crossref Full Text | Google Scholar

55. Jo H. Effects of psychological discomfort on social networking site (SNS) usage intensity during COVID-19. Front Psychol. (2022) 13:939726. doi: 10.3389/fpsyg.2022.939726

PubMed Abstract | Crossref Full Text | Google Scholar

56. Vall-Roqué H, Andrés A, González-Pacheco H, and Saldaña C. Women’s body dissatisfaction, physical appearance comparisons, and Instagram use throughout the COVID-19 pandemic: A longitudinal study. Int J Eat Disord. (2023) 56:118–31. doi: 10.1002/eat.23827

PubMed Abstract | Crossref Full Text | Google Scholar

57. Kim S, Aum T, and Lee DG. Depression in the COVID-19 endemic era: Analysis of online self- disclosures by young South Koreans. PloS One. (2024) 19:e0314881. doi: 10.1371/journal.pone.0314881

PubMed Abstract | Crossref Full Text | Google Scholar

58. Kim H, Rackoff GN, Fitzsimmons-Craft EE, Shin KE, Zainal NH, Schwob JT, et al. College mental health before and during the COVID-19 pandemic: results from a nationwide survey. Cognit Ther Res. (2022) 46:1–10. doi: 10.1007/s10608-021-10241-5

PubMed Abstract | Crossref Full Text | Google Scholar

59. Haddad C, Zakhour M, Kheir MB, Haddad R, Hachach MA, Sacre H, et al. Associationbetween eating behavior and quarantine/confinement stressors during the coronavirus disease 2019 outbreak. J Eat Disord. (2020) 8:40. doi: 10.1186/s40337-020-00317-0

PubMed Abstract | Crossref Full Text | Google Scholar

60. Touyz S, Lacey H, and Hay P. Eating disorders in the time of COVID-19. J Eat Disord. (2020) 8:19. doi: 10.1186/s40337-020-00295-3

PubMed Abstract | Crossref Full Text | Google Scholar

61. Mond JM, Myers TC, Crosby RD, Hay PJ, and Mitchell JE. Bulimic eating disorders in primary care: Hidden morbidity still? J Clin Psychol Med Settings. (2010) 17:56–63. doi: 10.1007/s10880-009-9180-9

PubMed Abstract | Crossref Full Text | Google Scholar

62. Crow SJ, Peterson CB, Swanson SA, Raymond NC, Specker S, Eckert ED, et al. Increased mortality in bulimia nervosa and other eating disorders. Am J Psychiaty. (2009) 166:1342–6. doi: 10.1176/appi.ajp.2009.09020247

PubMed Abstract | Crossref Full Text | Google Scholar

63. Nydegger R, Nydegger L, and Basile F. Post-traumatic stress disorder and coping among career professional firefighters. Am J Health Sci. (2011) 2:11–20. doi: 10.19030/ajhs.v2i1.4365

Crossref Full Text | Google Scholar

64. Theleritis C, Psarros C, Mantonakis L, Roukas D, Papaioannou A, Paparrigopoulos T, et al. Coping and its relation to PTSD in greek firefighters. J Nerv Ment Dis. (2020) 208:252–9. doi: 10.1097/NMD.0000000000001103

PubMed Abstract | Crossref Full Text | Google Scholar

65. Owoeye I, Agunbiade T, Agboola A, Sanya O, Adebiyi B, and Akimanimpaye F. Health SA. Assessing the psychological distress and coping strategies among academic staff of a university during COVID-19. (2025) 30:2752. doi: 10.4102/hsag.v30i0.2752

PubMed Abstract | Crossref Full Text | Google Scholar

66. Spoor ST, Bekker MH, van Strien T, and van Heck GL. Relations between negative affect, coping, and emotional eating. Appetite. (2007) 48:368–76. doi: 10.1016/j.appet.2006.10.005

PubMed Abstract | Crossref Full Text | Google Scholar

67. Mahmoud JS, Staten R, Hall LA, and Lennie TA. The relationship among young adult college students’ depression, anxiety, stress, demographics, life satisfaction, and coping styles. Issues Ment Health Nurs. (2012) 33:149–56. doi: 10.3109/01612840.2011.632708

PubMed Abstract | Crossref Full Text | Google Scholar

68. Savary A, Hammouda M, Genet L, Godet C, Bunel V, Weisenburger G, et al. Coping strategies, anxiety and depression related to the COVID-19 pandemic in lung transplant candidates and recipients. Results from a monocenter series. Respir Med Res. (2021) 80:100847. doi: 10.1016/j.resmer.2021.100847

PubMed Abstract | Crossref Full Text | Google Scholar

69. Chew Q, Wei K, Vasoo S, Chua HC, and Sim K. Narrative synthesis of psychological and coping responses towards emerging infectious disease outbreaks in the general population: practical considerations for the COVID-19 pandemic. . Singapore Med J. (2020) 61:350–6. doi: 10.11622/smedj.2020046

PubMed Abstract | Crossref Full Text | Google Scholar

70. Rossi MF, Gualano MR, Magnavita N, Moscato U, Santoro PE, and Borrelli I. Coping with burnout and the impact of the COVID-19 pandemic on workers’ mental health: A systematic review. Front Psychiatry. (2023) 14:1139260. doi: 10.3389/fpsyt.2023.1139260

PubMed Abstract | Crossref Full Text | Google Scholar

71. Bruchon-Schweitzer M. Coping and adjustment strategies for dealing with stress. Rech Soins Infirm. (2001) 67:68–83.

PubMed Abstract | Google Scholar

Keywords: COVID-19, eating behavior, stress coping, subthreshold depression, university student

Citation: Miyake Y, Takagaki K, Yoshino A and Okamoto Y (2025) Comparison of depressive symptoms and eating behaviors among Japanese university students with subthreshold depression before and during the COVID-19 pandemic. Front. Psychiatry 16:1480992. doi: 10.3389/fpsyt.2025.1480992

Received: 15 August 2024; Accepted: 02 May 2025;
Published: 16 June 2025.

Edited by:

Padmavati Ramachandran, Schizophrenia Research Foundation, India

Reviewed by:

Francisco Manuel Morales Rodríguez, University of Granada, Spain
Christos Theleritis, University General Hospital Attikon, Greece
Mohsen Khosravi, Zahedan University of Medical Sciences, Iran

Copyright © 2025 Miyake, Takagaki, Yoshino and Okamoto. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yoshie Miyake, bWl5YWtlY2hhcmVAaGlyb3NoaW1hLXUuYWMuanA=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.