Preprint
Article

COVID-19-Related Stressors and Psychophysical Health Conditions Among Italian University Students: A Post Pandemic Insight

Altmetrics

Downloads

138

Views

79

Comments

0

A peer-reviewed article of this preprint also exists.

Submitted:

24 February 2024

Posted:

27 February 2024

You are already at the latest version

Alerts
Abstract
The COVID-19-medical emergency has ended worldwide, yet there is still a need to evaluate the psychological impact of these years of unprecedented changes on students’ life. Methods: This study aims to assess and compare COVID-19-related stressors (Relationships-and-Academic-Life; Isolation; Fear-of-Contagion) and psychophysical symptoms reported by university students in April-2020, April 2021, and April 2022. The predictive role of COVID-19-related stressors on psychophysical symptoms within each time was also tested. Data were collected among 637 university students in April-2020 (n = 197), April-2021 (n = 200), April-2022 (n = 240). Results: In April-2022, perceived Isolation and Fear-of-Contagion decreased from the peak registered in April-2021, but stress related to Relationships-and-Academic-Life remained noteworthy high. A sharp and ongoing increase in psychophysical symptoms was found, with more than 50% of students reporting clinical levels of Sleep-Disorders, Depression, Psychoticism, and Interpersonal-Sensitivity. In April-2022, students still perceiving stress related to Relationships-and-Academic-Life and Isolation were at risk for Anxiety, Somatization, and Sleep-Disorders, while those still perceiving stress related to Fear-of-Contagion were also at risk for Depression, Obsessive-Compulsive, and Psychoticism. Conclusion: Findings emphasized the long-lasting detrimental effects of the COVID-19-related stress. Interventions must pinpoint the complex post-pandemic adjustment process and their effects on university students' psychophysical health.
Keywords: 
Subject: Public Health and Healthcare  -   Public Health and Health Services

1. Introduction

In the last decades, research attention was progressively given to university students’ wellbeing, since both the prevalence and the awareness of poor mental health registered among students worldwide have increased over time [1]. In this direction, an international survey developed by the World Health Organization [2] has underlined that more than 30% of university students met the diagnostic criteria for at least one common mental disorder. Specifically, several studies highlighted remarkable levels of stress and post-traumatic stress disorders, anxiety, depression, and obsessive-compulsive disorders [1,3,4,5,6].
In the same direction, more recently, a systematic review and meta-analysis estimating the prevalence of students’ mental health problems suggested that university students worldwide frequently reported feelings of isolation, social disconnection, and loneliness, as well as remarkable levels of stress, anxiety, suppressed anger, and sleep disorders [7]. However, the review mentioned above has primarily underlined alarming levels of depression, i.e., the prevalence of depression among university students ranged from 10% to 58%, and these levels are significantly higher than those registered in the general population [5,8,9].
However, it should also be noticed that the transition phase from secondary to tertiary education represents, in itself, a high-risk time for students, given the significant developmental changes they have to deal with (e.g., the transition to adulthood; the adjustment to new demands/roles in the family domain, in the relationships with peers, as well as in the academic life), but also considering that the age of onset of several mental health disorders, including psychoses and schizophrenia, commonly co-occurs with the beginning of the college/university life [1,10,11].
Within this already complex portrait, over the last years, university students have been additionally challenged by the spread of the COVID-19 pandemic, which has imposed several drastic modifications to their customary life [12,13], potentially entailing significant levels of stress related to the changes in their relational and academic life (i.e., relationships with family members, peers, as well as professors and university colleagues) as well as to the condition of social isolation, and to the fear of contagion [14,15,16,17,18,19]. Accordingly, several studies conducted among university students also highlighted that the COVID-19 pandemic and the consequent online learning deeply impacted mental well-being [20] and psychological health [21] resulting in poor academic performance [22], academic procrastination [23], and delaying graduation [24].
Therefore, research has underlined a wide range of psychopathological symptoms reported by university students during the pandemic, such as stress, fatigue/exhaustion [25,26,27,28,29], anxiety and phobic-anxiety [27,30], obsessive-compulsive disorders [31,32], depression [33,34,35,36], interpersonal sensitivity [37], eating disorders, alcohol and/or substance abuse [38,39,40], as well as sleep disorders [14,36,41].
In the same direction, longitudinal and repeated cross-sectional studies have been carried out to investigate mental health changes in students across different time points during the pandemic. Most of these studies underlined an increasing trend of students’ psychological disease considering the time frame closely after the beginning of the pandemic [34,42,43,44]. However, still considering research conducted in 2020, some studies revealed, instead, that psychological symptoms such as depression [45], anxiety, and obsessive-compulsive disorders [31] decreased after the lifting of the first lockdown. Nevertheless, in 2020, it was not yet expected that the pandemic and related restrictions would endure further, resulting instead in a long-lasting period of great uncertainty featured by the necessity to paradoxically adjust to a new – unforeseeable – life routine, deeply impacting individual and social life domains, and potentially triggering or worsening psychological suffering.
Indeed, in 2021, there was a slight re-open, followed by a long-lasting succession of full/partial lockdowns (with the constant threat of further/new restrictions). All public places (e.g., universities; libraries) and meeting places (e.g., cinemas, theatres, restaurants), after being closed for a long time, were gradually re-opened but they were accessible only with restrictions (e.g., wearing masks, green-pass, curfews). In addition, people were stormed by alarming and sometimes inconsistent information from the mass media (e.g., the number of cases and deaths, the spread of new virus variants, and several issues with the vaccination campaigns). Furthermore, at the individual and relational levels, people had to deal with the abrupt lack of physical contact and the increasing perception of significant others as potential threats (e.g., fear to be infected and infecting relatives), and many persons had to also face own/significant others’ hospitalizations, as well as losses and grieves.
Within this context, a repeated cross-sectional study conducted in 2021 [46] explored how university students’ perceived levels of specific COVID-19-related stressors (i.e., Relationships and Academic Life, Isolation, and Fear of Contagion), assessed by means of the COVID-19 Student Stress Questionnaire (CSSQ) [18] and psychological health conditions, assessed by means of the Symptom-Checklist-90-Revised [47,48] evolved over the one year of the pandemic. This study revealed a significant increase in perceived levels of stress related to the changes that occurred in relationships and academic life, the feeling of isolation, and the fear of infection, also underlining a significant exacerbation of psychological symptoms as the pandemic was progressing. Furthermore, COVID-19-related stressors emerged as significant predictors of students’ psychopathological risk. These data, thus, reflected the detrimental effects of the one year of the pandemic.
Afterward, in 2022, the medical emergency ended worldwide, and the control measures related to the pandemic were all lifted. However, nowadays, there is a lack of evidence on the effects of enduring changes experienced over two years of the pandemic, along with a lack of knowledge on the consequences of the end of the critical pandemic time (e.g., returning to the pre-pandemic life routine potentially entailing not only desires, but also concerns). Research targeting this key issue is needed.
Therefore, the present study aims to respond to this need by assessing perceived levels of COVID-19-related stressors (Relationships and Academic Life; Isolation; Fear of Contagion) and psychophysical symptoms reported by university students in April 2022 (closely to the end of the pandemic), comparing data with those registered, respectively, in April 2020 (at the beginning of the pandemic) and in April 2021 (during the pandemic). The role of COVID-19-related stressors in predicting the risk of reporting psychophysical symptoms within the three different times (April 2020; April 2021; April 2022) was also investigated, so providing a more complex overview of the impact of COVID-19-related experiences throughout the pandemic. In line with the study aims, the following research questions were developed and tested:
Research Question One (RQ1): Are there differences in perceived levels of COVID-19 related stressors and psychophysical health conditions reported by university students according to the three study times (April 2020; April 2021; April 2022)?
Research Question Two (RQ2): Are there significant associations between perceived COVID-19-related stressors and psychophysical symptoms among university students within the three study times (April 2020; April 2021; April 2022)?

2. Materials and Methods

2.1. Participant and Procedure

Repeated cross-sectional data were collected among Italian university students over the period from April 2020 to April 2022. This study is part of a larger research, which aimed to assess and monitor psycological health conditions among university students from the beginning of the pandemic *Blind for Revision*. Students were asked to participate in an online survey via both institutional channels (e.g., academic mailing lists) and informal channels (e.g., social media groups), and they were given all the information about the research project. Research was performed in accordance with the 1964 Helsinki declaration and its later amendments or comparable ethical standards, and students were provided with all the information about the privacy policy (e.g., the treatment and the confidentiality of their data). Overall, 637 university students (Time 1, April 2020 n = 197; Time 2, April 2021 n = 200; Time 3, April 2022 n = 240) provided the informed consent and completed the survey. The three samples matched for gender and age, with the majority being women (April 2020: Women n = 149, 75.6%; April 2021: Women n = 151, 75.5%; April 2022 : Women n = 181, 75.4%), and the following Age Means, i.e., April 2020: M = 21.07, SD = 2.74; April 2021: M = 20.80, SD = 2.88; April 2022: M = 20.93, SD = 3.01. There were no missing data.

2.2. Ethical Approval

The study was performed in accordance with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards, and it was approved by an Institutional Review Board (protocol code: 12/2020; date of approval: 12 April 2020).

2.3. Measures

2.3.1. COVID-19-Related Stressors

For the assessment of COVID-19-related Stressors, the COVID-19 Student Stress Questionnaire (CSSQ) [18] was used. The CSSQ consists of 7 items on a 5-point Likert scale ranging from zero “Not at all stressful” to four “Extremely stressful” divided into three subscales: 1. Relationships and Academic Life (4 items, e.g., How do you perceive the relationships with your university colleagues during this period of COVID-19 pandemic?; Cut-off score = 7.69); 2. Isolation (2 items, e.g., How do you perceive the condition of social isolation imposed during this period of COVID-19 pandemic?; Cut-off score = 5.56); 3. Fear of Contagion (1 item, i.e., How do you perceive the risk of contagion during this period of COVID-19 pandemic?; Cut-off score = 2.73). The scale also provides a Global Stress score (range = 0-28; Cut-off score = 14.59; Cronbach's α = 0.71). Cut-off scores/reliabilities were provided by the Italian [18] validation study.

2.3.2. Psychophysical Symptoms

For the assessment of psychophysical symptoms, the Symptom Checklist-90-Revised (SCL-90-R) [47] (Italian version [48]) was used. The SCL-90-R consists of 90 items on a 5-point Likert scale ranging from zero “Not at all” to four “Extremely” divided into nine subscales: 1. Somatization (12 items; Cronbach's α = 0.83; Clinical cut-off men = 1.09, women = 1.67); 2. Obsessive-Compulsive (10 items; Cronbach's α = 0.82; Clinical cut-off men = 1.41, women = 1.61); 3. Interpersonal Sensitivity (9 items; Cronbach's α = 0.83; Clinical cut-off men = 1.01, women = 1.34); 4. Depression (13 items; Cronbach's α = 0.87; Clinical cut-off men = 1.08, women = 1.62); 5. Anxiety (10 items; Cronbach's α = 0.84; Clinical cut-off men = 0.91,women = 1.31); 6. Phobic-Anxiety (7 items; Cronbach's α = 0.68; Clinical cut-off men = 0.44, women = 0.72); 7. Hostility (6 items; Cronbach's α = 0.80; Clinical cut-off men = 1.18, women = 1.34); 8. Paranoid Ideation (6 items; Cronbach's α = 0.76; Clinical cut-off men = 1.00, women = 1.67); 9. Psychoticism (10 items; Cronbach's α = 0.77; Clinical cut-off men = 0.71, women = 0.81). The scale also comprises three additional items assessing Sleep Disorders (3 items; Clinical cut-off for both genders = 1.00). Cut-off scores/reliabilities were provided by the Italian [48] validation study.

2.4. Data Analysis

Firstly, in order to assess and compare perceived levels of COVID-19 related stressors and psychophysical health conditions reported by university students, respectively, in April 2020, in April 2021, and in April 2022 (Research Question One; RQ1), Analysis of Variance (ANOVA) tests were used along with Bonferroni’s post hoc tests. Additionally, the study variables were dichotomized into low/high levels referring to the clinical cut-off scores provided by the Italian validation studies (i.e., the CSSQ [18]; the SCL-90-R [48]). Therefore, frequencies/percentages of university students reporting high (and low) levels of COVID-19-related stressors and psychophysical symptoms were calculated, and a comparison across the three study stages was drawn by using Cross-tabulations and Chi-Square (χ2) analyses (Research Question One; RQ1). Moreover, in order to explore the associations between COVID-19-related stressors and psychophysical symptoms (Research Question Two; RQ2), respectively, in April 2020, in April 2021, and in April 2022, Logistic Regression Analyses were carried out (Method: enter; entry criterion: p < 0.05; removal criterion: p > 0.01; first indicator contrast; Hosmer and Lemeshow Goodness-of-fit statistic fixed at p > 0.05). All the analyses were conducted by using the Statistical Package for Social Science (SPSS; Version 21).

3. Results

3.1. Research Question One (RQ1)

Responding to Research Question One (RQ1; potential differences in perceived levels of COVID-19-related stressors and psychophysical symptoms reported by university students across the three study times, i.e., April 2020; April 2021; April 2022), Table 1 showed findings from ANOVA and Bonferroni’s post hoc tests (i.e., Comparisons of Mean and Standard deviations scores; Table 1).
Considering COVID-19 related stressors, data revealed a statistically significant spike in scores from Time 1- namely from the beginning of the pandemic (April 2020) - to Time 2 (April 2021). However, at Time 3 (April 2022) the registered scores significantly dropped, and were also lower than those reported at the beginning of the pandemic (April 2020). Yet the abovementioned trend concerns the scores registered for perceived stress related to Isolation (April 2020 M = 3.71; April 2021 M = 4.81; April 2022 M = 2.61), Fear of Contagion (April 2020 M = 1.79; April 2021 M = 2.59; April 2022 M = 1.23), and Global Stress (April 2020 M = 10.49; April 2021 M = 14.01; April 2022 M = 8.62). Differently, albeit decreasing, perceived levels of stress related to changes in Relationships and Academic Life registered in April 2022 were still as high as those reported in April 2020 (April 2020 M = 4.99; April 2021 M = 6.61; April 2022 M = 4.80).
Considering psychophysical symptoms, data revealed the same statistically significant spike in scores from Time 1 (April 2020) to Time 2 (April 2021). However, at Time 3 (April 2022) scores remained fairly steady, specifically for Somatization (April 2020 M = 0.91; April 2021 M = 1.26; April 2022 M = 1.29), Interpersonal-Sensitivity (April 2020 M = 0.96; April 2021 M = 1.31; April 2022 M = 1.40), Depression (April 2020 M = 1.24; April 2021 M = 1.71; April 2022 M = 1.60), Anxiety (April 2020 M = 1.03; April 2021 M = 1.44; April 2022 M = 1.39) and Paranoid Ideation (April 2020 M = 0.99; April 2021 M = 1.33; April 2022 M = 1.35). Differently, data revealed an ongoing increasing trend for Psychoticism symptoms (April 2020 M = 0.67; April 2021 M = 0.88; April 2022 M = 1.02). No other statistically significant differences across the three study times were found (Table 1).
Still responding to Research Question One (RQ1), Table 2 showed findings from Cross-tabulations and Chi-Square Analyses (Comparisons of Frequencies and Percentages of university students reporting low and high/clinically relevant levels of perceived COVID-19-related stressors and psychophysical symptoms across the three study times; Table 2).
Considering COVID-19 related stressors, data substantially confirmed findings from ANOVA, revealing a remarkable increase - from April 2020 to April 2021 – and a sharp decrease - in April 2022 - in the number of students reporting clinically relevant levels of Fear of Contagion (April 2020 n = 61, 30.9% ; April 2021 n = 118, 59%; April 2022 n = 31, 13.%), Isolation (April 2020 n = 47, 23.9% ; April 2021 n = 78, 39%; April 2022 n = 26, 10.7%) and Global Stress (April 2020 n = 39, 19.8% ; April 2021 n = 90, 45%; April 2022 n = 36, 15.1%). Differently, albeit decreasing from April 2021, the number of students reporting high levels of Relationships and Academic Life in April 2022 was higher than those registered at the beginning of the pandemic (April 2020 n = 31, 15.7%; April 2021 n = 76, 38%; April 2022 n = 53, 22%).
Considering psychological health conditions, data provided more strike evidence of the increase in psychophysical symptoms, with a sharp, ongoing, and statistically significant grow - from April 2020 to April 2022 - in the number of students reporting clinically relevant levels of Somatization (April 2020 n = 33, 17% ; April 2021 n = 65, 32.5%; April 2022 n = 96, 39.7%), Interpersonal-Sensitivity (April 2020 n = 50, 25.4% ; April 2021 n = 93, 46.5%; April 2022 n = 121, 50.2%), Anxiety (April 2020 n = 67, 34% ; April 2021 n = 93, 46.5%; April 2022 n = 119, 49.8%), and Paranoid Ideation (April 2020 n = 48, 24.4% ; April 2021 n = 74, 37%; April 2022 n = 105, 43.8%). Differently, the number of students reporting clinically relevant levels of Depression (April 2020 n= 75, 38.1%; April 2021 n= 115, 57.5%; April 2022 n= 134, 55.6%) and Psychoticism (April 2020 n= 69, 35%; April 2021 n= 110, 55%; April 2022 n= 128, 53.4%) notably raised from April 2020 to April 2021, yet it slightly decreased in April 2022.
Furthermore, notwithstanding the non-significance of comparisons across the three study times, alarming frequencies/percentages of students reporting clinically relevant levels of Sleep Disorders (April 2020 n = 134, 68.1%; April 2021 n = 134, 67%; April 2022 n = 136, 56.9%), Obsessive-Compulsive symptoms (April 2020 n = 75, 38.1%; April 2021 n = 100, 50%; April 2022 n = 115, 47.8%), Phobic-Anxiety (April 2020 n = 50, 25.4%; April 2021 n = 83, 41.5%; April 2022 n = 82, 34.3%), and Hostility (April 2020 n = 46, 23.4%; April 2021 n = 54, 27%; April 2022 n = 79, 32.7%) were also registered (Table 2).

3.2. Research Question Two (RQ2)

Responding to Research Question Two (RQ2; significant associations between perceived COVID-19-related stressors and psychophysical symptoms among university students within the three study times, i.e., April 2020; April 2021; April 2022), Table 3 displayed findings from Logistic Regression Analyses.
Specifically, data revealed that students who perceived high levels of stress related to Relationship and Academic Life were at significantly higher risk for reporting clinically relevant levels of the following psychophysical symptoms: Anxiety in April 2020; all psychophysical symptoms except for Paranoid Ideation in April 2021; Somatization, Phobic-Anxiety and Sleep Disorders in April 2022.
Moreover, students who perceived high levels of stress related to Isolation were at significantly higher risk for reporting clinically relevant levels of the following psychophysical symptoms: Somatization and Hostility in April 2020; Somatization, Obsessive-Compulsive, Anxiety, Depression, and Psychoticism in April 2021; Anxiety and Sleep Disorders in April 2022.
Finally, students who perceived high levels of stress related to Fear of Contagion were at significantly higher risk for reporting clinically relevant levels of the following psychophysical symptoms: Interpersonal Sensitivity, Anxiety, and Phobic-Anxiety in April 2020; Obsessive-Compulsive and Phobic-Anxiety in April 2021; Obsessive-Compulsive, Anxiety, Depression, Sleep Disorders, and Psychoticism in April 2022 (Table 3).

4. Discussion

The present study aimed to provide a comprehensive overview of the psychological impact of the last years of unprecedented challenges imposed by the pandemic emergency in university students’ lives, targeting three specific and different time frames, i.e., April 2020, namely at the beginning of the outbreak and containment measures; April 2021, namely after one year of long-lasting and drastic changes and challenges in both customary and academic life; and April 2022, namely at the end of the emergency.
Nowadays, indeed, COVID-19 is no longer defined as a Public Health Emergency of International Concern (PHEIC) in a while, yet there is still a need to advance knowledge and understanding of people’s experiences throughout different phases of this overwhelming event as well as in the aftermath. The present study sought to respond to this - still high - need by targeting the specific experiences of university students.
Accordingly, by responding to the first research question (RQ1), the study provided tailored evidence of the specificity of trends (peaks and declines) in stress levels and psychophysical health conditions over the two years of the pandemic and at its conclusion. Specifically, findings were united to confirm previous evidence underlining the detrimental effects of one year of the pandemic [35,43,44,45,46] with a significant spiking of both COVID-19-related stressors and psychophysical symptoms from the beginning (2020) to the conclusion of the first year of the pandemic (2021).
Otherwise, the data registered in 2022 - namely at the end of the pandemic emergency - underlined two distinguished trends, one for COVID-19-related stressors and the one other one for psychophysical health. Specifically, concerning COVID-19-related stressors, the end of the pandemic entailed a substantial and clear drop in stress related to Isolation and Fear of Contagion, while - interesting - stress related to Relationships and Academic Life was still a noteworthy high in April 2022.
Overall, these data seem to properly capture the positive effects of the lifting of all the restrictions (i.e., ending of prolonged and mandatory isolation due to lockdowns, curfews, and social distancing), and of the medical advancements (i.e., lowering of the fears to be infected/infecting others due to the higher control over the treatment, the vaccination campaigns, the availability of COVID-19-specific drugs), while they also emphasize the detrimental impact of the severe changes the pandemic has imposed on university students’ relational lives. Indeed, the relational, social, and academic life of university students has been profoundly affected by the COVID-19 emergency, and our data suggested that certain marks of this hit were still expressed at the end of the emergency, namely in April 2022. These data could also reflect the efforts spent by students to re-adjust to "face-to-face" social life and (re-)join the university community. This might be especially true for those students who started university life with distance learning, thus they may have never or only partially benefited from academic life, both formal (e.g., exams, appointments with professors) and informal (e.g., use of study halls, coffee breaks with colleagues).
However, whereas perceived levels of COVID-19-related stressors substantially decreased as a result of the end of the emergency, findings revealed a sharp and ongoing increase in psychophysical suffering, mainly in terms of Somatization and Interpersonal-Sensitivity, but also of Paranoid Ideation and Psychoticism. These findings are in line with previous research underlining the significant psychological impact of the COVID-19 emergency among university students [25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,49], and they provide evidence sustaining the studies conducted at the beginning of the pandemic, which already warned about the increasing psychological risk among young adults/students as the pandemic was progressing [42,43,44]. Specifically, in the present study, data registered in 2022 revealed remarkable clinically relevant levels of Anxiety, Phobic-Anxiety, and Obsessive-Compulsive disorders, probably linked to the overload of long-lasting recommendations for strict hygiene measures and ritualistic patterns (e.g., repeated washing), and the normalization of behaviors such as avoiding crowded places and ruminating thoughts of contamination [50].
Furthermore, astoundingly, our data revealed that, at the end of the pandemic (April 2022), more than one-half of university students reported clinically relevant levels of Depression and Sleep Disorders, Interpersonal-Sensitivity as well as Psychoticism, and more than 40% reported clinical levels of Paranoid Ideation. The above-mentioned psychopathological portrait could be probably linked to the extreme experiences of withdrawal/isolation and prolonged loss of contact (mainly physical) with others, as well as to the drastic changes in students’ daily routine, who needed to adjust to the new – unrecognizable – reality (e.g., beliefs that COVID-19 pandemic can’t be real).
From this perspective, it should be noted that the percentages of students reporting clinical levels of psychoticism (53.4%), interpersonal-sensitivity (50.2%), and paranoid ideation (43.8%) registered in April 2022 were too high to be explained only by the idea that the onset of psychotic symptoms and schizophrenia matches with the start of university life [1,10,11], requiring to frame them in the context of the COVID-19-related experiences. In line with this, our data seem align with recent evidence on the significant bi-directional relationship between loneliness and psychotic experiences among university students, in particular with the idea that feeling of isolation may lead to maladaptive cognition of both oneself and others [51].
Overall, considering the abovementioned findings (RQ1), there is a clear implication for current research and interventions targeting psychological health of young adults, - and in particular of university students - namely, there is an urgent need to carefully take into account not only the alarming psychopathological risk highlighted among young adults/students before the pandemic [1,2,3,4,5,6,7], but to also consider the warning portrait and the observed increasing trend of relational difficulties and psychophysical suffering gathered at the end of the pandemic.
From this perspective, by responding to the second research question (RQ2), the study provides further evidence endorsing this urgent need. A comprehensive overview of the specific paths of associations between COVID-19-related stressors and psychophysical symptoms was provided, so allowing to estimate the psychopathological risk students have been exposed during the last years. In particular, referring to data registered at the end of the emergency (2022), data revealed that students who still perceived high stress related to Relationships and Academic Life, despite the re-open of universities and the re-establishing of the pre-pandemic life routines, were at significantly higher psychophysical risk, specifically in terms of Somatization, Phobic-Anxiety and Sleep Disorders, while students who still perceived stress related to Isolation, despite the substantial lowering of control measures, were at significantly higher risk for reporting clinical levels of Anxiety and Sleep Disorders. These data should also be carefully considered in light of the pre-existing risk of isolation/loneliness reported in young people, especially college students [7], requiring even further efforts to effectively support their interpersonal skills in the current time.
Moreover, data revealed that students who - in April 2022 - still perceived high stress related to Fear of Contagion, despite the vaccination campaign and the advances in medicine, reported a greater psychopathological risk as they were at significantly higher risk for reporting Anxiety and Obsessive-Compulsive (e.g., repeated/compulsive hand-washing, and other compulsive behaviors and obsessive thoughts), Depression and Sleep Disorders (e.g., withdrawal, defensive avoiding behaviors, insomnia/hypersomnia), as well as Psychoticism (e.g., distorted reality and loss of reality, disturbances of thinking and feelings). These findings can be useful for understanding, through evidence-based information, the potentially deleterious impact of specific stressors related to the pandemic even after it ends (April 2022).
Based on this evidence, indeed, researchers, stakeholders in Higher Education (HE), and clinicians may be warned about the need to carefully consider that traumatic experiences and prolonged extreme challenges - such as those imposed by the pandemic - can have detrimental effects, whether they are clear or hidden, both in the short and in the long term [52,53]. Indeed, in the current period, specific psychophysical symptoms might be more frequently reported by young adults/university students, such as clinically relevant levels of anxiety, relational concerns, remarkable and persistent sleep disturbances, obsessive-compulsive symptoms, or even widespread feelings of detachment from reality. These symptoms should be assessed and framed by also considering the two pandemic years (from 2020 to 2022) since the pandemic experience has entailed – undoubtedly - a severe disruption in a delicate phase of their developmental life. In line with this, recent studies also highlighted a wide variety of outcomes expressing students’ suffering in the academic context, such as apathy, disengagement, decreased focus and motivation [54,55,56,57,58,59,60], delaying graduation, increasing academic procrastination and worries about their career trajectory [20,24].
From this perspective, although we are nowadays living in completely changed circumstances, Higher Education (HE) administrators could schedule screening and monitoring of students' mental health, as well as foster exchanges with them to achieve a greater understanding of their current needs.
Furthermore, also mental health professionals could benefit from our findings which suggest the need to pay further attention to the exploration of the relational changes that occurred during these years, yet are inscribed within a specific moment in life, namely emerging adulthood, which represents an already complex period due to the changes in family dynamics, the further explorations of relationships with peers, and the building of new relationships related to the academic life.
Nonetheless, interventions should not only target students who reported they have perceived remarkable levels of COVID-19-related stressors during the emergency, but also those who may perceive lowered stress. Indeed, the significant psychopathological portrait registered in April 2022 suggests that students may report notable psychophysical disorders due to past COVID-19-related experiences, which have indeed required them to spend several efforts to adjust and recover from this unique long-lasting condition. In particular, data revealed a significant increasing trend for psychophysical disorders (i.e., Somatization) as well as relational disorders (i.e., Interpersonal-Sensitivity, Paranoid Ideation and Psychoticism). Future research should therefore keep assessing students’ psychological health, starting for the need to target these specific diseases.
Moreover, as further implications for practitioners, the psychopathological profiles that emerged from our data suggest the need for mental health professionals to routinely explore COVID-19-related past experiences, even when an explicit link with the current discomfort seems lacking. The hidden traces of these years of drastic changes could be key elements to understanding patients’ diseases (e.g., Phobic Anxiety, Obsessive-Compulsive Disorders, Psychoticism) and, accordingly, to define more effective interventions.
However, despite our study may potentially have several implications for research and interventions, some limitations need to be acknowledged. First, data were repeated cross-sectional, so limiting the possibility of making causal inferences. Second, data were self-reported, so they may have been more vulnerable to social desirability biases. Third, the study variables selected were COVID-19-related stressors and psychophysical symptoms, yet other factors, such as resources (e.g., social support; coping strategies) or some potential confounding (e.g., experiences with a mental health service/professional) have not been considered. Future research will therefore aim at exploring a wider set of study variables potentially influencing students’ psychophysical health. Also, further research will be developed by taking into account the need to continuously monitor the psychological health conditions of vulnerable populations, such as young adults/university students, and to identify potential long-term effects of the pandemic experience.

5. Conclusions

Notwithstanding the abovementioned limitations, findings provided evidence-based and tailored insights into the detrimental effects of COVID-19-related experiences on students’ psychophysical health conditions. Findings can inform the development of future research on stress-and-health processes in the post-pandemic era and can be also useful in implementing evidence-based interventions to effectively support students in dealing with the complex post-emergency adjustment process. Indeed, the end of the global emergency should not be considered as an occasion “to pack up and move on” [61], rather it calls to action addressing the marks and the lessons learned from the past years.

Author Contributions

Conceptualization, M.F.C.D.V., F.V., and M.C.Z.; methodology, M.F.C.D.V., F.V., and M.C.Z; formal analysis, F.V. and M.F.C.D.V.; writing—original draft preparation, F.V. and M.F.C.D.V.; writing—review and editing, M.F.C.D.V., F.V., and M.C.Z.; supervision, M.C.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Ethical Committee of Psychological Research of the University of Naples Federico II (protocol code: 12/2020; date of approval: 12 April 2020).

Informed Consent Statement

Written Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data that support the results of this study are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Brown, P. The Invisible Problem?: improving students' mental health; Oxuniprint: Oxford, United Kingdom.
  2. Auerbach, R.P.; Mortier, P.; Bruffaerts, R.; Alonso, J.; Benjet, C.; Cuijpers, P.; Demyttenaere, K.; Ebert, D.D.; Green, J.G.; Hasking, P.; Murray, E. WHO World Mental Health Surveys International College Student Project: Prevalence and distribution of mental disorders. J. Abnorm. Psychol. 2018, 127(7), 623-638. [CrossRef]
  3. Fortney, J.C.; Curran, G.M.; Hunt, J.B.; Cheney, A.M.; Lu, L.; Valenstein, M.; Eisenberg, D. Prevalence of probable mental disorders and help-seeking behaviors among veteran and non-veteran community college students. Gen. Hosp. Psychiatr. 2016, 38, 99-104. [CrossRef]
  4. Huang, J.; Nigatu, Y.T.; Smail-Crevier, R.; Zhang, X.; Wang, J. Interventions for common mental health problems among university and college students: A systematic review and meta-analysis of randomized controlled trials. J. Psychiatr. Res. 2018, 107, 1-10. [CrossRef] [PubMed]
  5. Ibrahim, A.K; Kelly, S.J; Adams, C.E; Glazebrook, C. A systematic review of studies of depression prevalence in university students. J. Psychiatr. Res. 2013, 47, 391-400. [CrossRef] [PubMed]
  6. Sulkowski, M.L; Mariaskin, A.; Storch, E.A. Obsessive-compulsive spectrum disorder symptoms in college students. J. Am. Coll. Health. 2011, 59, 342-348. [CrossRef] [PubMed]
  7. Sheldon, E.; Simmonds-Buckley, M.; Bone, C.; Mascarenhas, T.; Chan, N.; Wincott, M.; Gleeson, H.; Sow, K.; Hind, D.; Barkham, M. Prevalence and risk factors for mental health problems in university undergraduate students: A systematic review with meta-analysis. J. Affect. Disord. 2021, 287, 282-292. [CrossRef] [PubMed]
  8. Eisenberg D.; Gollust SE.; Golberstein E.; Hefner J.L. Prevalence and correlates of depression, anxiety, and suicidality among university students. Am. J. Orthopsychiatry. 2007, 77, 534-542. [CrossRef]
  9. Lim, G.Y.;Tam, W.W.; Lu, Y.; Ho, C.S.; Zhang, M.W.; Ho, R.C. Prevalence of depression in the community from 30 countries between 1994 and 2014. Sci. Rep. 2018, 8, 1-10. [CrossRef]
  10. Cuijpers P.; Cristea, I.A.; Ebert, D.D.; Koot, H.M.; Auerbach, R.P.; Bruffaerts, R.; Kessler, R.C. Psychological treatment of depression in college students: a meta-analysis. Depress. Anxiety 2016, 33, 400-414. [CrossRef]
  11. Richardson, T.; Yeebo, M.; Jansen, M.; Elliott, P.; Roberts, R. Financial difficulties and psychosis risk in British undergraduate students: a longitudinal analysis. J. Public Ment. Health. 2018, 17, 61-68. [CrossRef]
  12. Aristovnik, A.; Keržič, D.; Ravšelj, D.; Tomaževič, N.; Umek, L. Impacts of the COVID-19 pandemic on life of higher education students: A global perspective. Sustainability. 2020, 12, 8438. [CrossRef]
  13. Voltmer E.; Köslich-Strumann S.; Walther A.; Kasem M.; Obst K.; Kötter T. The impact of the COVID-19 pandemic on stress, mental health and coping behavior in German University students–a longitudinal study before and after the onset of the pandemic. BMC Public Health. 2021, 21, 1-5. [CrossRef] [PubMed]
  14. Barad, S.; Sethy, M.; Lata, M.; Jha, P.K. Relationship of perceived sleep quality and stress among university students: An online survey during the COVID-19 pandemic. Natl J Physiol Pharm Pharmacol. 2022, 12, 1-4. [CrossRef]
  15. Di Giacomo, D.; Martelli, A.; Guerra, F.; Cielo, F.; Ranieri, J. Mediator effect of affinity for e-learning on mental health: Buffering strategy for the resilience of university students. Int. J. Environ. Res. Public Health. 2021, 18, 7098. [CrossRef] [PubMed]
  16. Gundogan, S. The relationship of covid-19 student stress with school burnout, depression and subjective well-being: Adaptation of the covid-19 student stress scale into turkish. Asia-Pacific. Edu. Res. 2022, 15, 1-12. [CrossRef]
  17. Mahadi, A.R.; Rafi, M.A.; Shahriar, T.; Seemanta, S.; Rabbani, M.G.; Akter, M.; Majumder, M.I.; Hasan, M.T. Association Between Hair Diseases and COVID-19 Pandemic-Related Stress: A Cross-Sectional Study Analysis. Front. Med. 2022, 9, 876561. [CrossRef] [PubMed]
  18. Zurlo, M.C.; Cattaneo Della Volta, M.F.; Vallone, F. COVID-19 Student Stress Questionnaire: Development and Validation of a Questionnaire to Evaluate Students’ Stressors Related to the Coronavirus Pandemic Lockdown. Front Psychol. 2020, 11, 576758. [CrossRef] [PubMed]
  19. Vallone, F.; Cattaneo Della Volta, M. F.; Mayor Silva, L. I.; Monroy, A. M.; Galletta, M.; Curcio, F.; Zurlo, M.C. The COVID-19 Student Stress Questionnaire: Validation in Spanish university students from health sciences. Health Psychol. Open. 2022, 9, 1-13. [CrossRef]
  20. Dehghan Maravsti, S.; Kheirkhah, H. The relationship between procrastination and psychological well-being: the mediating role of emotional competence and life satisfaction. Teach. Educ. Res. 2022, 19, 56-67. [CrossRef]
  21. Qiao, Z.; Wu, Y.; Xie, Y.; Qiu, X.; Chen, L.; Yang, J.; Pan, H.; Gu, S.; Yang, X.; Hu, X.; Wei, P. The chain mediating roles of anxiety and depression in the relationship between the effects of the COVID-19 pandemic and procrastination in adolescents: a longitudinal study. BMC Public Health. 2023, 23, 2277. [CrossRef]
  22. Bird, K.A.; Castleman, B.L.; Lohner, G. Negative impacts from the shift to online learning during the COVID-19 crisis: evidence from a statewide community college system. Aera Open. 2022, 20-299, 1-57. [CrossRef]
  23. Unda-López, A.; Osejo-Taco, G.; Vinueza-Cabezas, A.; Paz, C.; Hidalgo-Andrade, P. Procrastination during the COVID-19 pandemic: A scoping review. Behav. Sci. 2022, 12, 38. [CrossRef]
  24. Lange, S.; Soták, M.; Hagberg, C.E.; Bagunu, G.; Vigmo, S.; Börgeson, E. Students at a crossroad: A cross-sectional survey gauging the impact of COVID-19 on medical and biomedical graduates in the United States and Sweden. Biochem. Mol. Biol. Educ. 2023. 508-519. [CrossRef] [PubMed]
  25. Alvarez-Risco, A.; Del-Aguila-Arcentales, S.; Yáñez, JA.; Rosen, M.A.; Mejia, C.R. Influence of technostress on academic performance of university medicine students in Peru during the COVID-19 pandemic. Sustainability. 2021, 13, 8949. [CrossRef]
  26. Baltà-Salvador, R.; Olmedo-Torre, N.; Peña, M.; Renta-Davids, A.I. Academic and emotional effects of online learning during the COVID-19 pandemic on engineering students. Educ Inf Technol. 2021, 26, 7407-7434. [CrossRef] [PubMed]
  27. Dirzyte, A.; Vijaikis, A.; Perminas, A.; Rimasiute-Knabikiene, R. Associations between depression, anxiety, fatigue, and learning motivating factors in e-learning-based computer programming education. Int. J. Environ. Res. Public Health. 2021, 18, 9158. [CrossRef] [PubMed]
  28. Puranachaikere T.; Hataiyusuk S.; Anupansupsai R.; In-Iw S.; Saisavoey N.; Techapanuwat T.; Arunrodpanya F.; Charonpongsuntorn C.; Wiwattanaworaset P.; Siripongpan A.; Pruttithavorn W. Stress and associated factors with received and needed support in medical students during COVID-19 pandemic: a multicenter study. Korean J Med Educ 2021, 33, 203-213. [CrossRef] [PubMed]
  29. Somma, F.; Bartolomeo, P.; Vallone, F.; Argiuolo, A.; Cerrato, A.; Miglino, O.; Mandolesi, L.; Zurlo, M.C.; Gigliotta, O. Further to the left: Stress-induced increase of spatial pseudoneglect during the COVID-19 lockdown. Front. Psychol. 2021, 12, 573846. [CrossRef] [PubMed]
  30. Faisal, R.A.; Jobe, M.C.; Ahmed, O.; Sharker, T. Mental health status, anxiety, and depression levels of Bangladeshi university students during the COVID-19 pandemic. Int J Ment Health Add. 2022, 20, 1500-1515. [CrossRef]
  31. Meda, N.; Pardini, S.; Slongo, I; Bodini, L.; Zordan, M.A.; Rigobello, P.; Visioli, F.; Novara, C. Students' mental health problems before, during, and after COVID-19 lockdown in Italy. J Psychiatr Res. 2021, 1, 69-77. [CrossRef]
  32. Ji, G.; Wei, W.; Yue, K.C.; Li, H.; Shi, L.J.; Ma, J.D.; He, C.Y.; Zhou, S.S.; Zhao, Z.; Lou, T.; Cheng, J. Effects of the COVID-19 pandemic on obsessive-compulsive symptoms among university students: prospective cohort survey study. J Med Internet Res. J. 2020, 22, 1-13. [CrossRef] [PubMed]
  33. Chinna, K.; Sundarasen, S.; Khoshaim, H.B.; Kamaludin, K.; Nurunnabi, M.; Baloch, G.M.; Hossain, S.F.; Sukayt, A.; Dalina, N.; Rajagopalan, U.; Kumar, R. Psychological impact of COVID-19 and lock down measures: An online cross-sectional multicounty study on Asian university students. PloS one. 2021, 8, 1-12. [CrossRef]
  34. Debowska, A.; Horeczy, B.; Boduszek, D.; Dolinski, D. A repeated cross-sectional survey assessing university students' stress, depression, anxiety, and suicidality in the early stages of the COVID-19 pandemic in Poland. Psychol Med. 2020, 15, 1-4. [CrossRef] [PubMed]
  35. Galvin, J.; Evans, M.S.; Nelson, K.; Richards, G.; Mavritsaki, E.; Giovazolias, T.; Zurlo, M.C.; Smith, A.P.; Vallone, F. Technostress, Coping, and Anxious and Depressive Symptomatology in University Students During the COVID-19 Pandemic. Eur J Psychol. 2021, 18, 302-318. [CrossRef] [PubMed]
  36. Gao, J.; Wang, F.; Guo, S.; Hu, F. Mental health of nursing students amid coronavirus disease 2019 pandemic. Front Psychol. 2021, 12, 1-12. [CrossRef] [PubMed]
  37. Jiang, R. Knowledge, attitudes and mental health of university students during the COVID-19 pandemic in China. Child Youth Serv Rev. 2020, 119, 1-4. [CrossRef] [PubMed]
  38. Browning, MH.; Larson, L.R.; Sharaievska, I.; Rigolon, A.; McAnirlin, O.; Mullenbach, L.; Cloutier, S.; Vu, T.M.; Thomsen, J.; Reigner, N.; Metcalf, E.C. Psychological impacts from COVID-19 among university students: Risk factors across seven states in the United States. PloS one. 2021, 16, 1-27. [CrossRef]
  39. Charles, N.E.; Strong, S.J.; Burns, L.C.; Bullerjahn, M.R.; Serafine, K.M. Increased mood disorder symptoms, perceived stress, and alcohol use among college students during the COVID-19 pandemic. Psychiatry Res. 2021, 296, 1-11. [CrossRef]
  40. Tavolacci, M.P.; Ladner, J.; Déchelotte, P. Sharp increase in eating disorders among university students since the COVID-19 pandemic. Nutrients. 2021, 13, 1-5. [CrossRef]
  41. Gruba, G.; Kasiak, P.S.; Gębarowska, J.; Adamczyk, N.; Sikora, Z.; Jodczyk, A.M.; Mamcarz, A.; Śliż, D. PaLS Study of sleep deprivation and mental health consequences of the COVID-19 pandemic among university students: A cross-sectional survey. Int. J. Environ. Res. Public Health. 2021, 18, 1-11. [CrossRef]
  42. Volken, T.; Zysset, A.; Amendola, S.; Klein Swormink, A.; Huber, M.; von Wyl, A.; Dratva, J. Depressive Symptoms in Swiss University Students during the COVID-19 Pandemic and Their Correlates. Int J Environ Res Public Health. 2021, 18, 1-14. [CrossRef] [PubMed]
  43. Weber, M.; Schulze, L.; Bolzenkötter, T.; Niemeyer, H.; Renneberg, B. Mental Health and Loneliness in University Students During the COVID-19 Pandemic in Germany: A Longitudinal Study. Front Psychiatr. 2022, 13, 1-11. [CrossRef] [PubMed]
  44. Zhang, Y.; Zhang, H.; Ma, X.; Di, Q. Mental health problems during the COVID-19 pandemics and the mitigation effects of exercise: a longitudinal study of college students in China. Int J Environ Res Public Health. 2020, 17, 1-16. [CrossRef] [PubMed]
  45. Kujawa, A.; Green, H.; Compas, BE.; Dickey, L.; Pegg, S. Exposure to COVID-19 pandemic stress: Associations with depression and anxiety in emerging adults in the United States. Depress Anxiety. 2020, 37, 1280-1288. [CrossRef]
  46. Zurlo, M.C.; Cattaneo Della Volta, M.F.; Vallone, F. Psychological health conditions and COVID-19-related stressors among university students: A repeated cross-sectional survey. Front. Psychol. 2022, 12, 1-11. [CrossRef]
  47. Derogatis, L.R. SCL-90-R: Administration, scoring and procedures manual. Minneapolis, MN: National Computer Systems; 1994.
  48. Prunas, A.; Sarno, I.; Preti, E.; Madeddu, F. SCL-90-R. Symptom Checklist-90-R. Firenze, Italy: Giunti; 2010.
  49. Zurlo, M.C.; Vallone, F.; Cattaneo Della Volta, M.F. Perceived Past and Current COVID-19-Stressors, Coping Strategies and Psychological Health among University Students: A Mediated-Moderated Model. Int J Environ Res Public Health. 2022, 19, 1-19. [CrossRef]
  50. Banerjee, D. The other side of COVID-19: Impact on obsessive compulsive disorder (OCD) and hoarding. Psychiatry Res. 2020, 288, 1-2. [CrossRef]
  51. Narita, Z.; Banawa, R.; Zhou, S.; DeVylder, J.; Koyanagi, A.; Oh, H. Loneliness and psychotic experiences among US university students: Findings from the Healthy Minds Study 2020. Psychiatry Res. 2022, 308, 1-5. [CrossRef]
  52. Fullerton.; Carol S..; and Robert J. Ursano. eds. Posttraumatic stress disorder: Acute and long-term responses to trauma and disaster. Vol. 51. American Psychiatric Pub, 2009.
  53. Idoiaga, N.; Legorburu, I.; Ozamiz-Etxebarria, N.; Lipnicki, D.M.; Villagrasa, B, Santabárbara, J. Prevalence of post-traumatic stress disorder (PTSD) in university students during the COVID-19 pandemic: a meta-analysis attending sdg 3 and 4 of the 2030 agenda. Sustainability. 2022, 14, 1-12. [CrossRef]
  54. Caron, E. E.; Drody, A. C.; Hicks, L. J.; Smilek, D. The impact of a global pandemic on undergraduate learning experiences: one year later. Trends Neurosci. Educ. 2022, 29, 1-12. [CrossRef] [PubMed]
  55. Corpus, J. H.; Robinson, K. A.; Liu, Z. Comparing college students’ motivation trajectories before and during COVID-19: a self-determination theory approach. Front. Educ. 2022, 7, 1-8. 10.3389/feduc.2022.848643. [CrossRef]
  56. Curelaru, M.; Curelaru, V.; Cristea, M. Students’ perceptions of onlinelearning during COVID-19 pandemic: a qualitative approach. Sustainability. 2022, 14, 1-21. [CrossRef]
  57. Parker, P. C.; Perry, R. P.; Hamm, J. M.; Chipperfield, J. G.; Pekrun, R.; Dryden, R. P.; Daniels, L.M.; Tze, V.M.C. A motivation perspective on achievement appraisals, emotions, and performance in an online learning environment. Int. J. Edu. Res. 2021, 108, 1-16. [CrossRef]
  58. Singh, J.; Evans, E.; Reed, A.; Karch, L.; Qualey, K.; Singh, L.; Wiersma, H. Online, hybrid, and face-to-face learning through the eyes of faculty, students, administrators, and instructional designers: Lessons learned and directions for the post-vaccine and post-pandemic/COVID-19 world. J. Educ. Technol. Syst. 2022, 50, 301–326. [CrossRef]
  59. Stoian, C. E.; Fˇarca¸siu, M.A.; Dragomir, G.M.; Gherhes, V. Transition from online to face-to-face education after COVID-19: the benefits of online education from students’ perspective. Sustainability. 2022, 14, 1-18. [CrossRef]
  60. Vallone, F.; Galvin, J.; Cattaneo Della Volta M.F.; Akhtar, A.; Chua, S.; Ghio, E.; Giovazolias, T.; Kazakou, Z.; Kritikou, M.; Koutra, K.; Kovacevic, S. Technostress and Academic Motivation: Direct and Indirect Effects on University Students' Psychological Health. Front. Psychol. 2023, 14, 1-16. [CrossRef]
  61. World Health Organization (WHO). With the international public health emergency ending, WHO/Europe launches its transition plan for COVID-19. Available online:https://www.who.int/europe/news/item/12-06-2023-with-the-international-public-health-emergency-ending--who-europe-launches-its-transition-plan-for-covid-19(accessed on 20 February 2024).
Table 1. COVID-19 related stressors and psychophysical symptoms reported by university students: Comparisons of Means (M) and Standard Deviations (SD) across the three study times (April 2020, April 2021, April 2022).
Table 1. COVID-19 related stressors and psychophysical symptoms reported by university students: Comparisons of Means (M) and Standard Deviations (SD) across the three study times (April 2020, April 2021, April 2022).
April-2020n = 197 April-2021 n = 200 April-2022 n = 240
M±SD M±SD M±SD ANOVA F Comparison (s)a
Perceived COVID-19-related stressors
Relationships and Academic Life (CSSQ-REL) 4.99±2.58 6.61±3.21 4.80±3.31 12.13*** T2 > T1**, T3***
Isolation (CSSQ-ISO) 3.71±2.00 4.81±2.03 2.61±2.07 42.33*** T2 > T1**, T3***; T3 < T1***
Fear of Contagion (CSSQ-FEAR) 1.79±1.22 2.59±1.13 1.23±1.09 51.61*** T2 > T1***, T3***; T3 < T1***
Global Stress (CSSQ-GLOBAL) 10.49±4.32 14.01±4.85 8.62±5.38 39.98*** T2 > T1***, T3***; T3 < T1**
Psychophysical Symptoms
Somatization (SOM) 0.91±0.69 1.26±0.84 1.29±0.97 6.50** T1 < T2*, T3**
Obsessive-Compulsive (O-C) 1.46±0.74 1.59±0.81 1.59±0.86 0.88 -
Interpersonal-Sensitivity (INT) 0.96±0.65 1.31±0.71 1.40±0.86 10.18*** T1 < T2**, T3***
Depression (DEP) 1.24±0.71 1.71±0.83 1.60±0.91 8.39*** T1 < T2**, T3**
Anxiety (ANX) 1.03±0.70 1.44±0.82 1.39±0.96 6.42** T1 < T2**, T3**
Hostility (HOS) 0.92±0.67 1.11±0.76 1.14±0.92 2.44 -
Phobic Anxiety (PHOB) 0.51±0.58 0.72±0.66 0.69±0.77 2.63 -
Paranoid Ideation (PAR) 0.99±0.69 1.33±0.77 1.35±0.90 6.62** T1 < T2*, T3**
Psychoticism (PSY) 0.67±0.44 0.88±0.62 1.02±0.80 7.84*** T1 < T3***
Sleep Disorders (SLEEP) 1.35±0.99 1.42±1.06 1.36±1.15 0.11 -
aBonferroni post hoc test. T1, April 2020; T2, April 2021; T3, April 2022. *p < 0.05. **p < 0.01. ***p < 0.001.
Table 2. Low and high/clinically relevant levels of COVID-19-related stressors and psychophysical symptoms reported by university students: Comparisons of Frequencies (N) and Percentages (%) across the three study times (April 2020, April 2021, April 2022).
Table 2. Low and high/clinically relevant levels of COVID-19-related stressors and psychophysical symptoms reported by university students: Comparisons of Frequencies (N) and Percentages (%) across the three study times (April 2020, April 2021, April 2022).
April-2020n = 197 April-2021n = 200 April-2022n = 240 Chi-Square
N (%) N (%) N (%) χ2a
Perceived COVID-19-related stressors
Relationship and Academic Life (CSSQ-REL)
Low 166(84.3) 124(62.0) 187(77.9)
High 31(15.7) 76(38.0) 53(22.1) 14.92**
Isolation (CSSQ-ISO)
Low 150(76.1) 122(61.0) 214(89.3)
High 47(23.9) 78(39.0) 26(10.7) 35.83***
Fear of Contagion (CSSQ-FEAR)
Low 136(69.1) 82(41.0) 209(87.0)
High 61(30.9) 118(59.0) 31(13.0) 75.20***
Global Stress (CSSQ-GLOBAL)
Low 158(80.2) 110(55.0) 204(84.9)
High 39(19.8) 90(45.0) 36(15.1) 36.08***
Psychophysical Symptoms
Somatization (SOM)
Low 164(83.0) 135(67.5) 144(60.3)
High 33(17.0) 65(32.5) 96(39.7) 15.08**
Obsessive-Compulsive (O-C)
Low 122(61.9) 100(50.0) 125(52.2)
High 75(38.1) 100(50.0) 115(47.8) 3.09
Interpersonal-Sensitivity (INT)
Low 147(74.6) 107(53.5) 119(49.8)
High 50(25.4) 93(46.5) 121(50.2) 16.50***
Depression (DEP)
Low 122(61.9) 85(42.5) 106(44.4)
High 75(38.1) 115(57.5) 134(55.6) 9.23*
Anxiety (ANX)
Low 130(66.0) 107(53.5) 121(50.2)
High 67(34.0) 93(46.5) 119(49.8) 6.51*
Hostility (HOS)
Low 151(76.6) 146(73.0) 161(67.3)
High 46(23.4) 54(27.0) 79(32.7) 2.94
Phobic Anxiety (PHOB)
Low 147(74.6) 117(58.5) 158(65.7)
High 50(25.4) 83(41.5) 82(34.3) 5.21
Paranoid Ideation (PAR)
Low 149(75.6) 126(63.0) 135(56.2)
High 48(24.4) 74(37.0) 105(43.8) 10.37**
Psychoticism (PSY)
Low 128(65.0) 90(45.0) 112(46.6)
High 69(35.0) 110(55.0) 128(53.4) 9.95**
Sleep Disorders (SLEEP)
Low 63(31.9) 66(33.0) 104(43.1)
High 134(68.1) 134(67.0) 136(56.9) 4.81
aCross-tabulations and Chi-Square Analyses. *p < 0.05. **p < 0.01. ***p < 0.001.
Table 3. Associations between COVID-19-related stressors and risk for reporting clinically relevant levels of psychophysical symptoms among university students across to three study times (April 2020; April 2021; April 2022).
Table 3. Associations between COVID-19-related stressors and risk for reporting clinically relevant levels of psychophysical symptoms among university students across to three study times (April 2020; April 2021; April 2022).
APRIL-2020 APRIL-2021 APRIL-2022
CSSQ-REL CSSQ-ISO CSSQ-FEAR CSSQ-REL CSSQ-ISO CSSQ-FEAR CSSQ-REL CSSQ-ISO CSSQ-FEAR
OR (C.I.) OR (C.I.) OR (C.I.) OR (C.I.) OR (C.I.) OR (C.I.) OR (C.I.) OR (C.I.) OR (C.I.)
SOM 2.0 (0.5-7.4) 6.4 (2.0-20.4)** 1.4 (0.5-4.4) 4.7 (1.8-11.9)** 2.7 (1.1-6.7)* 2.2 (0.9-5.5) 1.9 (1.0-3.8)* 1.7 (0.7-4.2) 1.5 (0.6-3.3)
O-C 2.8 (0.9-8.9) 1.5 (0.6-3.9) 1.0 (0.4-2.4) 5.7 (2.2-14.7)*** 2.8 (1.2-664)* 2.7 (1.2-6.4)* 1.4 (0.7-2.7) 1.6 (0.6-4.1) 2.9 (1.2-7.0)*
INT 2.3 (0.7-7.2) 0.8 (0.3-2.5) 3.1 (1.2-8.2)* 2.4 (1.0-5.7)* 1.6 (0.7-3.8) 0.7 (0.3-1.7) 1.2 (0.6-2.3) 2.2 (0.9-5.8) 1.9 (0.8-4.5)
DEP 2.9 (0.9-8.9) 1.1 (0.4-3.1) 1.5 (0.6-3.6) 15.7 (4.3-57.3)*** 4.7 (1.8-12.1)** 1.1 (0.4-2.5) 1.6 (0.8-3.2) 2.2 (0.8-6.1) 3.2 (1.2-8.4)*
ANX 5.2 (1.6-16.9)** 1.5 (0.5-3.9) 3.0 (1.2-7.5)* 2.4 (1.0-5.8)* 3.5 (1.5-8.4)** 1.5 (0.6-3.4) 1.6 (0.8-3.0) 2.9 (1.1-7.7)* 2.3 (1.0-5.5)*
HOST 1.2 (0.3-4.3) 3.1 (1.1-8.9)* 1.1 (0.4-3.0) 3.2 (1.2-8.3)* 1.9 (0.8-4.9) 0.6 (0.2-1.5) 1.4 (0.7-2.8) 2.1 (0.8-5.2) 0.9 (0.4-2.2)
PHOB 1.6 (0.5-5.2) 2.0 (0.7-5.6) 5.1 (1.9-13.8)** 3.5 (1.4-8.5)** 1.7 (0.7-3.9) 4.0 (1.6-10.1)** 2.1 (1.1-4.2)* 1.9 (0.8-4.8) 1.1 (0.5-2.5)
PAR 0.7 (0.2-2.9) 0.9 (0.3-2.7) 0.9 (0.3-2.7) 2.1 (0.9-5.2) 1.6 (0.6-3.7) 0.6 (0.3-1.4) 0.8 (0.4-1.5) 1.5 (0.6-3.7) 0.9 (0.4-2.1)
PSY 1.3 (0.4-4.0) 1.8 (0.7-4.7) 1.8 (0.7-4.6) 9.0 (3.3-24.9)*** 3.2 (1.4-7.6)** 0.9 (0.4-2.1) 1.7 (0.8-3.4) 1.2 (0.5-3.0) 2.4 (1.0-5.8)*
SLEEP 1.2 (0.3-4.2) 0.9 (0.3-2.6) 0.8 (0.3-2.1) 4.1 (1.5-11.2)** 1.8 (0.7-4.2) 1.6 (0.7-3.7) 2.9 (1.4-6.0)** 4.4 (1.5-13.4)** 3.6 (1.3-10.1)*
OR = Odds Ratio; C.I. = Confidence Interval; *p < 0.05. **p < 0.01. ***p < 0.001.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

© 2024 MDPI (Basel, Switzerland) unless otherwise stated