Literature DB >> 35458512

Two Years and Four Time Points: Description of Emotional State and Coping Strategies of French University Students during the COVID-19 Pandemic.

Elodie Charbonnier1, Aurélie Goncalves1, Cécile Puechlong1, Lucile Montalescot1, Sarah Le Vigouroux1.   

Abstract

While it is now clear that the COVID-19 pandemic has had a major impact on the mental health of individuals, especially the most vulnerable ones such as students, we have very little knowledge about the long-term consequences. The objective of this study was to compare the mental health and coping of French university students during the different phases of the pandemic in the first 2 years. To this end, French university students were evaluated at four time points: during France's first lockdown (April-May 2020; nT1 = 1357), the period after lockdown (June 2020; nT2 = 309), 1 year after the first lockdown, which was also a lockdown period (April-May 2021; nT1' = 2569); and 1 year after the end of the first unlock (June 2021; nT2' = 1136). Anxiety and depressive symptoms, coping and concerns were measured. In order to compare scores between the lockdown and unlock periods within the same year, paired samples t-tests were performed. To compare scores between the 2 years for different participants, independent samples t-tests were conducted. Our results showed that maladaptive strategies, concerns and symptoms were higher during lockdown periods, compared with unlock periods. In addition, symptom levels were higher in the second year of the pandemic compared with the first one. These argue that the psychological effects of COVID-19 were exacerbated by lockdowns but also by time. This highlights the need for more attention to be paid to students' mental health.

Entities:  

Keywords:  coping; lockdown; mental health

Mesh:

Year:  2022        PMID: 35458512      PMCID: PMC9029954          DOI: 10.3390/v14040782

Source DB:  PubMed          Journal:  Viruses        ISSN: 1999-4915            Impact factor:   5.818


1. Introduction

The COVID-19 pandemic has had deleterious effects on the mental health of students in different countries around the world, including high levels of anxiety and depressive symptoms [1,2,3,4,5,6]. Similar results have been observed among French university students [7,8,9,10,11,12,13]. These results may be explained in part by the fact that individuals who were already experiencing high levels of psychological distress prior to the pandemic, such as students, were more likely to have their mental health damaged by the COVID-19 pandemic [14,15]. Indeed, even before the pandemic, university students had been identified as having poorer mental health than their nonstudent peers [16,17,18], with 53% of students reporting depressive feelings since they started university [19]. A recent systematic review showed a prevalence of 26.1% for depressive symptoms and 24.5% for anxiety among university students [20]. In France, 30% of French university students have had symptoms of depression [21], and 5.9% have had a major depressive episode [22]. In addition, 55% of French university students feel anxious [23], and have major concerns related to academic success, their professional future, time management, exams and financial difficulties [24]. Long before the COVID-19 pandemic, numerous studies had highlighted the role of coping strategies in understanding poor mental health [25,26,27]. Coping strategies are the cognitive and behavioral efforts undertaken by individuals to deal with stressful situations [28]. They are classically categorized as maladaptive or adaptive [29]. The COVID-19 pandemic, particularly the lockdowns, exposed students to new difficulties that challenged their coping strategies [6,30]. For example, during lockdown, university students used more maladaptive strategies (e.g., denial) than usual [10]. In addition, studies have found associations between the coping strategies used to deal with the stress of the COVID-19 pandemic and anxiety and depressive symptoms [8,10,31]. Studies have highlighted the long-term deleterious mental health consequences of previous pandemics [32,33,34]. This has led some authors to suggest that the psychological effects of COVID-19 may be long lasting [35,36,37,38]. However, to date, we mainly have data for the first year of the pandemic, with the exception of a few recent studies [39,40] that have reported increases in anxiety and depressive symptoms in the second year of the pandemic. Therefore, the objective of the present study was to compare the mental health (concerns, anxiety and depressive symptoms) and adjustment (coping strategies) of French university students during different phases (lockdowns and periods without lockdowns) of the COVID-19 pandemic in the first 2 years (in 2020 and 2021). We predicted that during lockdowns, compared with periods after lockdown, university students would have more anxiety and depressive symptoms, be more worried, and use more maladaptive strategies and fewer adaptive ones. In addition, we predicted that in the second year of the pandemic, compared with the first year, university students would have more anxiety and depressive symptoms, be more concerned, and use more maladaptive strategies and fewer adaptive ones.

2. Materials and Methods

2.1. Participants and Procedure

Data were collected anonymously at four time points, via an online survey: (1) during France’s first national lockdown (23 April–10 May 2020; nT1 = 1357; Mage = 21.22 years ± 4.64), during which all lessons were conducted online; (2) during the period after lockdown (9–26 June 2020; nT2 = 309; Mage = 22.24 years ± 5.93), with some evaluations taking place online, and some face-to-face; (3) 1 year after the first lockdown, which was also a lockdown period (23 April–10 May 2021; nT1′ = 2569; Mage = 21.45 years ± 4.19), during which all lessons were conducted online; and (4) 1 year after the first unlock (9–26 June 2021, nT2′ = 1136; Mage = 21.63 years ± 4.58), with some evaluations taking place online, and some face-to-face. Participants in T2 were participants from T1 who agreed to complete the questionnaire a second time. Similarly, participants in T2′ were participants from T1′ who agreed to complete the survey a second time. For all our measurement time points, our sample included large proportions of women (between 73.61% and 82.20%) and first-year students (between 24.27% and 37.73%). They came from different French universities (mainly in Lorraine, Nîmes and Cergy) and different study fields (mainly psychology, language and sport science). Participants’ mean ages were 21.2 years (SD = 4.6) at T1, 21.4 (SD = 4.2) at T2, 22.2 (SD = 5.9) at T1′, and 21.6 (SD = 4.6) at T2′. Participants’ characteristics at the four time points are set out in Table 1. It is important to note that sociodemographic variables (age, level of education) had little influence on our variables of interest. Only gender seemed to have a small effect on the emotional state and coping strategies of our participants (See Appendix A, Table A1). More precisely, women had higher levels of anxiety and depressive symptoms than men. Women also tended to use more of the following coping strategies than men: seeking emotional and instrumental support, emotion expression, self-blame, and denial. By contrast, men tended to use more acceptance and humor than women. However, these trends were not found at all measurement times.
Table 1

Characteristics of survey respondents at the four time points.

20202021
T1T2 χ 2 T1′T2′ χ 2
n (%) n (%) n (%) n (%)
Total1357 309 2569 1136
Gender 7.87 * 6.69 *
Female1049(77.30)254(82.20) 1891(73.61)875(77.02)
Male286(21.08)46(14.89) 655(25.50)247(21.74)
Other22(1.62)9(2.91) 23(0.90)14(1.23)
University 5.48 9.55
Cergy.... 389(15.14)167(14.70)
Lorraine384(28.30)68(22.01) 347(13.51)169(14.88)
Montpellier.... 154(5.99)66(5.81)
Nîmes587(43.26)143(46.28) 399(15.53)154(13.56)
Paris.... 142(5.53)57(5.02)
Strasbourg225(16.58)60(19.42) 134(5.22)83(7.31)
Other161(11.86)38(12.30) 1004(39.08)440(38.73)
Education Level 27.29 *** 6.18
Undergraduate
First year512(37.73)75(24.27) 729(28.38)305(26.85)
Second year331(24.39)93(30.10) 627(24.41)279(24.56)
Third year336(24.76)80(25.89) 527(20.51)223(19.63)
Master’s
Fourth year86(6.34)27(8.74) 327(12.73)159(14.00)
Fifth year75(5.53)25(8.09) 196(7.63)94(8.27)
PhD12(0.88)8(2.59) 75(2.92)45(3.96)
Other5(0.37)1(0.32) 88(3.43)31(2.73)
Study field
Art-Design62(4.58)7(2.27)49.505 ***44(1.72)20(1.77)30.355 *
Biology81(5.98)14(4.53)138(5.39)57(5.04)
Communication-Journalism22(1.62)3(0.97)36(1.41)17(1.50)
Law-Economics-Management63(4.65)11(3.56)355(13.86)113(9.98)
Education26(1.92)6(1.94)81(3.16)45(3.98)
History94(6.94)16(5.18)68(2.65)35(3.09)
Languages146(10.78)17(5.50)170(6.64)73(6.45)
Literature38(2.81)7(2.27)48(1.87)26(2.30)
Linguistics24(1.77)6(1.94)20(0.78)8(0.71)
Math-IT-Physics-Chemistry13(0.96)1(0.32)267(10.42)99(8.75)
Psychology485(35.82)174(56.31)573(22.37)324(28.62)
Health2(0.15)0(0.00)61(2.38)28(2.47)
Sociology-Philosophy50(3.69)8(2.59)50(1.95)23(2.03)
Sport science210(15.51)36(11.65)358(13.97)133(11.75)
Geography-Town planning8(0.59)1(0.32)79(3.08)37(3.27)
Other30(2.22)2(0.65)214(8.35)94(8.30)

Note. * p < 0.05. *** p < 0.001. T1: France’s first national lockdown (23 April–10 May 2020), T2: first period after lockdown (9–26 June 2020), T1’: 1 year after first lockdown, which was also a lockdown period (23 April–10 May 2021); T2’: 1 year after first unlock.

Table A1

Means (and standard deviations) by gender at four time points and means comparisons.

20202021
T1T2T1′T2′
MenWomenOtherFMenWomenOtherFMenWomenOtherFMenWomenOtherF
N28610492146254965518892324787414
M SD M SD M SD M SD M SD M SD M SD M SD M SD M SD M SD M SD
Anxiety symptoms6.833.969.084.559.385.036.767 **5.653.117.474.235.564.224.578 *8.284.5810.624.5113.264.2870.8686.304.138.384.349.794.4123.854 ***
Depressive symptoms6.564.007.154.097.574.852.497 *3.963.134.613.624.003.040.7487.284.407.894.258.914.905.7175.114.175.473.876.213.791.076
Coping strategies
Acceptance6.511.516.051.675.431.7810.852 ***6.941.066.161.475.891.979.092 **5.861.675.371.645.171.6121.455 ***6.191.535.811.555.431.456.483 **
Positive reframing5.291.835.231.804.912.000.5035.521.625.261.705.671.870.6555.031.784.681.644.091.6511.354 ***5.221.704.991.604.571.792.511
Humor4.251.913.531.633.951.8616.976 ***4.962.013.741.664.111.369.8783.751.743.141.383.831.8033.514 ***4.041.823.341.494.641.8717.984 ***
Active coping3.861.593.731.493.481.291.2064.221.403.991.533.891.760.4663.841.553.811.433.351.151.9884.131.534.051.483.500.941.295
Planning4.591.954.481.743.711.492.5064.671.924.451.734.441.590.3134.201.674.261.623.871.520.9454.431.734.291.603.641.281.847
Using instrumental support3.211.433.921.723.861.6220.562 ***3.981.714.231.744.442.190.4923.641.604.171.754.091.8125.161 ***3.961.654.461.784.501.408.568 ***
Using emotional support3.411.624.191.824.431.8625.028 ***3.701.554.401.724.782.173.648 *3.981.804.731.804.701.8242.515 ***3.941.674.761.794.711.5421.997 ***
Venting3.751.574.361.784.331.6215.892 ***4.411.614.771.844.672.000.7673.861.514.421.684.041.8031.437 ***4.111.534.661.684.291.4911.787 ***
Religion2.711.352.851.583.141.591.6412.630.972.761.412.781.560.1913.031.683.121.772.871.390.8162.791.482.951.582.931.861.003
Denial3.111.392.631.172.861.1117.533 ***2.300.662.911.232.780.8311.412 ***2.841.243.261.533.391.4124.936 ***2.520.953.041.322.640.8423.893 ***
Self-blame3.511.593.931.723.811.836.809 **3.501.174.001.763.561.011.9574.181.804.641.865.652.1019.632 ***4.121.804.511.795.141.755.609 **
Self-distraction4.581.584.891.604.522.024.4295.151.594.981.464.891.540.294.931.575.251.515.351.5810.517 ***4.961.575.201.525.641.223.084
Behavioral disengagement3.361.563.841.573.861.8010.213 ***3.481.493.731.553.891.970.593.991.754.291.684.781.578.978 ***3.541.583.911.544.211.535.854 **
Substance use2.511.202.641.412.911.451.6262.501.262.641.283.441.942.0012.921.652.771.522.611.532.42.571.232.721.442.290.733.283 *

Note. * p < 0.05. ** p < 0.01. *** p < 0.001.

A link to the survey was sent by e-mail to teachers in different universities, who forwarded it to their students. The link to the survey was also distributed via social media by the students who responded, thereby allowing students from other universities to respond. Participants agreed to participate in this study after reading a consent form. They were informed that their participation was voluntary, and they could withdraw at any time. All the procedures contributing to this work were undertaken in compliance with the ethical standards of the relevant national and institutional committees on human experimentation and with the 1975 Declaration of Helsinki, revised in 2008.

2.2. Measures

Anxiety and depressive symptoms were assessed using the French version of the Hospital Anxiety and Depression Scale [41]. This 14-item self-report questionnaire measures the intensity of both anxiety and depressive symptoms during the previous week (a score ≤ 7 means no symptoms, a score of 8–10 means possible symptoms, and a score ≥ 11 means probable symptoms). The distribution of our participants according to the different threshold scores is shown in Appendix B, Table A2.
Table A2

Numbers and proportions of participants according to the different threshold HADS scores at the two respective time points.

20202021T1-T1′T2-T2′
T1T2 χ 2 T1′T2′ χ 2
n (%) n (%) n (%) n (%) χ 2 χ 2
Anxiety symptoms 22.06 *** 138.8 ***88.16 ***8.84 *
None (≤7)633(46.65)183(59.22) 822(32)573(50.44)
Possible anxiety (8–10)286(21.08)66(21.36) 592(23.04)261(22.98)
Probable anxiety (≥11)438(32.28)60(19.42) 1155(44.96)302(26.59)
Depressive symptoms 58.83 *** 138.5 ***21.33 ***13.47 **
None (≤7)793(58.44)252(81.55) 1322(51.46)809(71.22)
Possible depression (8–10)286(21.08)35(11.33) 568(22.11)190(16.73)
Probable depression (≥11)278(20.49)22(7.12) 679(26.43)137(12.06)

Note. * p < 0.05. ** p < 0.01. *** p < 0.001.

Coping strategies were assessed using a French-language situational version of the Brief-COPE [29]. At Times 1 and 1′, participants were instructed to refer to a stressful situation related to the lockdown. At Times 2 and 2′, they were asked to refer to a stressful situation related to the COVID-19 pandemic. This self-report scale measures 14 coping strategies, which are divided into adaptive strategies (active coping, planning, instrumental support, use of emotional support, venting, positive reframing, humor, acceptance, and religion) and maladaptive strategies (behavioral disengagement, self-distraction, self-blame, denial, and substance use). Participants rated each of the 28 items on a 4-point scale ranging from Never to Always. Concerns were measured with three questions probing participants’ (1) level of concern about their own health with regard to the COVID-19 pandemic, (2) level of concern about their relatives’ health with regard to the COVID-19 pandemic, and (3) the extent to which they felt that the COVID-19 pandemic and lockdowns compromised their professional future. Participants rated each of the questions on a scale ranging from 0 (Not concerned) to 100 (Very concerned).

2.3. Statistical Analysis

In order to compare scores between the lockdown and unlock periods within the same year, paired samples t-test were performed. To compare scores between our 2 years with different participants, independent samples t-tests were conducted. Effect sizes are expressed as Cohen’s d. Data were analyzed using JASP software (version 0.11.1; Amsterdam, The Netherlands).

3. Results

In accordance with our first hypothesis, means comparisons (Table 2) showed that students had higher levels (d between 0.37 and 0.59) of anxiety and depressive symptoms during periods of lockdown (T1 and T1′) than during periods after lockdown (T2 and T2′). Comparisons of proportions (Appendix B, Table A2) showed that higher proportions of students exhibited possible anxiety and depressive symptoms during the two lockdown periods than during the two periods after lockdown. In addition, comparisons of means (Table 2) show that their concerns about the health of their relatives (d between 0.50 and 0.81), their own health (0.30 < d < 0.39), and their professional future (0.11 < d < 0.25) were greater during periods of lockdown (T1 and T1′) than during periods after lockdown (T2 and T2′). Finally, concerning coping strategies, our results indicated slightly (d < 0.20) lower use of adaptive coping strategies (e.g., active coping, instrumental support), and slightly (d < 0.30) higher use of maladaptive coping strategies (e.g., denial, behavioral disengagement) during the lockdown periods, compared with the periods after lockdown.
Table 2

Means (standard deviations) at four time points and mean comparisons.

20202021T1-T1′T2-T2′
T1T2 t d T1′T2′ t d
M SD M SD M SD M SD t d t d
Concern about professional future56.39(29.81)52.56(29.93)1.97 *0.1163.97(27.86)55.61(28.51)8.41 ***0.25−7.17 ***−0.27−1.66−0.11
Concern about own health32.14(28.00)22.92(23.22)5.33 ***0.3033.36(28.20)24.67(22.78)13.29 ***0.39−1.29−0.04−1.19−0.08
Concern about relatives’ health68.00(27.42)45.66(28.52)14.24 ***0.8165.97(27.52)53.65(28.11)16.97 ***0.502.20 *0.07−4.42 ***−0.28
Anxiety symptoms8.61(4.54)7.15(4.13)6.47 ***0.3710.05(4.65)7.94(4.38)17.86 ***0.53−9.31 ***−0.31−2.86 **−0.18
Depressive symptoms7.03(4.08)4.49(3.53)10.44 ***0.597.75(4.30)5.40(3.94)19.39 ***0.58−5.06 ***−0.17−3.67 ***−0.24
Coping strategies
Acceptance6.14(1.65)6.27(1.46)0.870.055.49(1.66)5.89(1.55)−6.59 ***−0.2011.60 ***0.393.88 ***0.25
Positive reframing5.24(1.81)5.31(1.69)0.960.054.76(1.68)5.04(1.63)−5.33−0.168.19 ***0.282.62 *0.17
Humor3.69(1.72)3.94(1.76)−0.95−0.053.30(1.51)3.51(1.61)−4.37 ***−0.137.27 ***0.244.09 ***0.26
Active coping3.75(1.51)4.02(1.51)−2.38 *−0.143.81(1.46)4.06(1.49)−5.04 ***−0.15−1.27−0.04−0.41−0.03
Planning4.49(1.78)4.49(1.75)1.450.084.24(1.63)4.32(1.63)−0.90−0.034.42 ***0.151.600.10
Using instrumental support3.77(1.68)4.20(1.74)−3.26 **−0.194.03(1.73)4.35(1.76)−6.16 ***−0.18−4.63 ***−0.16−1.33−0.09
Using emotional support4.03(1.81)4.30(1.72)−1.46−0.084.54(1.83)4.58(1.79)0.500.02−8.30 ***−0.28−2.45 *−0.16
Venting4.23(1.75)4.72(1.81)−3.12 **−0.184.27(1.66)4.53(1.66)−4.08 ***−0.12−0.70−0.021.680.11
Religion2.83(1.53)2.74(1.35)0.560.033.10(1.75)2.91(1.57)1.050.03−4.83 ***−0.16−1.73−0.11
Denial3.01(1.36)2.81(1.17)2.67 **0.153.15(1.47)2.92(1.27)3.65 ***0.11−3.03 **−0.10−1.40−0.09
Self-blame3.84(1.70)3.91(1.68)−1.28−0.074.53(1.86)4.43(1.80)1.510.05−11.44 ***−0.38−4.52 ***−0.29
Self-distraction4.82(1.61)5.00(1.48)−2.38 *−0.145.17(1.53)5.16(1.53)2.87 **0.09−6.69 ***−0.22−1.57−0.10
Behavioral disengagement3.74(1.58)3.70(1.55)0.110.014.21(1.70)3.83(1.56)7.69 ***0.23−8.53 ***−0.29−1.31−0.08
Substance use2.61(1.37)2.64(1.30)−1.86−0.112.81(1.56)2.68(1.39)1.000.03−3.88 ***−0.13−0.49−0.03

Note. Intra-year comparisons were made using paired samples t-tests, and inter-year comparisons (i.e., T1-T1′ and T2-T2′) using independent samples t-tests. * p < 0.05. ** p < 0.01. *** p < 0.001.

In accordance with our second hypothesis, participants assessed in the second year of the pandemic (2021) had slightly higher levels (0.17 < d < 0.31) of anxiety and depressive symptoms than those interviewed in the first year (2020). More precisely, higher proportions of students (Appendix B, Table A2) presented possible or probable anxiety and depressive symptoms during the 2021 lockdown (T1′) than during the 2020 lockdown (T1). Comparisons of the two groups of students during the two post-lockdowns periods (T2 vs. T2′) highlighted slightly higher levels (d = −0.28) of concern about their relatives’ health in 2021 than in 2020, but no significant differences were observed regarding their concerns about their own health. Furthermore, they were slightly more (0.17 < d < 0.31) concerned about their professional future during the 2021 lockdown (T1′) than during the 2020 lockdown (T1), but no significant difference was observed between the post-lockdown periods in 2020 and 2021 (T2 and T2′). In addition, comparisons of the two groups of students during the two lockdowns (T1 vs. T1′) highlighted slightly lower levels of the use of coping strategies in 2021 than in 2020, particularly adaptive strategies such as acceptance (d = 0.39) and positive reframing (d = 0.28). By contrast, students tended to use slightly more instrumental support (d = −0.16), and emotional support (d = −0.28). In addition, they used slightly more maladaptive coping strategies such as self-blame (d = −0.38), behavioral disengagement (d = −0.29), self-distraction (d = −0.22), substance use (d = −0.13), and denial (d = −0.10). Finally, comparisons between the two groups of students during the two periods after lockdown (T2 vs. T2′) showed quite similar trends for adaptive strategies, but with smaller effect sizes. By contrast, regarding maladaptive strategies, only self-blame seemed to be used more at T2′ than at T2 (d = −0.29).

4. Discussion

It is now widely acknowledged that the COVID-19 pandemic has had very deleterious effects on students’ mental health. However, little is known about how these effects changed over time, particularly during the second year of the pandemic. Therefore, the main objective of this research was to compare mental health and adjustment in university students in different lockdown and unlock phases during the first 2 years of the COVID-19 pandemic (2020 and 2021). Regarding anxiety and depressive symptoms, our results revealed that students’ mental health was more severely impaired during lockdown periods, compared with unlock periods. This can be explained by isolation [6,36,42,43], given the importance of peers at this time of life [44]. Moreover, distance learning imposed during lockdowns caused students to confront many challenges, both technical [42,44,45] and human [46]. Concerning coping strategies, our results indicated that during periods of lockdown, students used fewer adapted strategies (e.g., active coping) and more maladaptive strategies (e.g., denial) to manage pandemic-related situations, compared with unlock periods. The isolating and restrictive pandemic context may have hindered the use of usual means of adaptation [31]. Indeed, the pandemic, and even more so the various lockdowns, exposed students to new and stressful situations over which they had only limited control. Regarding comparisons made between the 2 years, our results showed that students’ symptoms were more severe in the second year of the pandemic (2021) than in the first one (2020). This trajectory is consistent with that observed by [40]. It was due in part to persistent loneliness and feelings of social isolation [47]. This supports the hypothesis that the psychological effects of COVID-19 may be longlasting [35,36,38]. Finally, students questioned in 2021 employed fewer adaptive and more maladaptive strategies than those in 2020. These data suggest that the experience of the first year of the COVID-19 pandemic did not allow students to develop new resources to better cope with the second year, and the opposite may even have occurred. This can be explained by the repeated, uncontrollable, and uncertain nature of the stressful events related to the pandemic. Over time, people realized that there was nothing they could do directly to solve the problem, but they could simply follow the government’s rules (e.g., stay home), which were largely reinforced by information in the media [48]. This type of event tends to increase stress and lead to poor adjustment [49]. Given that poor coping is positively associated with poorer mental health [25,26,27], the higher anxiety and depression scores observed during the second year of the COVID-19 pandemic may in part be explained by greater use of maladaptive strategies by students. The present results need to be interpreted with caution, for the following reasons. First, our sample was predominantly female, and although the initial size of our two samples was large, it was substantially smaller for the last two time points. Our results therefore need to be replicated with a larger and more representative population. Second, the participants evaluated in 2021 were different from those evaluated in 2020, making inter-year comparisons difficult. Further research is warranted to consolidate and generalize these results, preferably adopting a longitudinal design. To our knowledge, our study is the first to compare mental health and coping strategies in French university students during different phases of the pandemic (here, in the first 2 years of the COVID-19 pandemic). Our results indicate that the psychological effects of COVID-19 were exacerbated by lockdowns, as well as by time. Thus, university students, who are already known to be a vulnerable population, may be particularly at risk in 2022. It is therefore essential that universities’ preventive medicine departments provide adequate psychological support for students, by focusing on interventions that reduce their anxiety and depressive symptoms, and improve their stress adjustment strategies. According to [50], offering practical advice on coping strategies and stress management can help reduce the negative consequences of the COVID-19 pandemic. Furthermore, as periods of lockdown are the riskiest, it seems essential to be able to implement remote therapeutic strategies. To do so, online self-help interventions (e.g., web page, Facebook page, e-learning) seem promising tools. They have been identified as being particularly valuable for university students [51,52,53], and have proven to be effective for students during the pandemic [54].

5. Conclusions

Studies conducted during previous pandemics have shown that the psychological consequences of pandemics can last well beyond the peak, especially among the most vulnerable populations. However, to date, we know very little about the long-term consequences of the COVID-19 pandemic. Our study shows that students’ mental health was most severely affected during periods of lockdown and during the second year of the pandemic (2021). This supports the hypothesis that the psychological effects of COVID-19 may persist even after the pandemic and highlights the need to continue to deploy interventions (face-to-face and/or online) aimed at reducing students’ anxiety and depressive symptoms, as well as improving their stress adjustment strategies.
  39 in total

1.  WHO World Mental Health Surveys International College Student Project: Prevalence and distribution of mental disorders.

Authors:  Randy P Auerbach; Philippe Mortier; Ronny Bruffaerts; Jordi Alonso; Corina Benjet; Pim Cuijpers; Koen Demyttenaere; David D Ebert; Jennifer Greif Green; Penelope Hasking; Elaine Murray; Matthew K Nock; Stephanie Pinder-Amaker; Nancy A Sampson; Dan J Stein; Gemma Vilagut; Alan M Zaslavsky; Ronald C Kessler
Journal:  J Abnorm Psychol       Date:  2018-09-13

2.  Psychological resilience and dysfunction among hospitalized survivors of the SARS epidemic in Hong Kong: a latent class approach.

Authors:  George A Bonanno; Samuel M Y Ho; Jane C K Chan; Rosalie S Y Kwong; Celia K Y Cheung; Claudia P Y Wong; Vivian C W Wong
Journal:  Health Psychol       Date:  2008-09       Impact factor: 4.267

3.  The Psychological Vulnerability of French University Students to the COVID-19 Confinement.

Authors:  Sarah Le Vigouroux; Aurélie Goncalves; Elodie Charbonnier
Journal:  Health Educ Behav       Date:  2021-01-20

4.  The Mental Health Consequences of COVID-19 and Physical Distancing: The Need for Prevention and Early Intervention.

Authors:  Sandro Galea; Raina M Merchant; Nicole Lurie
Journal:  JAMA Intern Med       Date:  2020-06-01       Impact factor: 21.873

5.  Priorities for the US Health Community Responding to COVID-19.

Authors:  Amesh A Adalja; Eric Toner; Thomas V Inglesby
Journal:  JAMA       Date:  2020-04-14       Impact factor: 56.272

6.  [Multidimensional assessment of coping: validation of the Brief COPE among French population].

Authors:  L Muller; E Spitz
Journal:  Encephale       Date:  2003 Nov-Dec       Impact factor: 1.291

7.  Effects of an online self-help intervention on university students' mental health during COVID-19: A non-randomized controlled pilot study.

Authors:  Elodie Charbonnier; Bastien Trémolière; Louise Baussard; Aurélie Goncalves; Florence Lespiau; Antony G Philippe; Sarah Le Vigouroux
Journal:  Comput Hum Behav Rep       Date:  2022-02-10

Review 8.  Computer-delivered and web-based interventions to improve depression, anxiety, and psychological well-being of university students: a systematic review and meta-analysis.

Authors:  E Bethan Davies; Richard Morriss; Cris Glazebrook
Journal:  J Med Internet Res       Date:  2014-05-16       Impact factor: 5.428

9.  Loneliness: A signature mental health concern in the era of COVID-19.

Authors:  William D S Killgore; Sara A Cloonan; Emily C Taylor; Natalie S Dailey
Journal:  Psychiatry Res       Date:  2020-05-23       Impact factor: 3.222

10.  Mental health care for international Chinese students affected by the COVID-19 outbreak.

Authors:  Yusen Zhai; Xue Du
Journal:  Lancet Psychiatry       Date:  2020-04       Impact factor: 27.083

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  2 in total

1.  Relationship between Income and Mental Health during the COVID-19 Pandemic in China.

Authors:  Mingna Li; Bo Zhou; Bingbin Hu
Journal:  Int J Environ Res Public Health       Date:  2022-07-22       Impact factor: 4.614

2.  Impact of income on mental health during the COVID-19 pandemic: Based on the 2020 China family panel survey.

Authors:  Dongliang Yang; Bingbin Hu; Zhichao Ren; Mingna Li
Journal:  Front Psychol       Date:  2022-08-11
  2 in total

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