scispace - formally typeset
Search or ask a question
Posted ContentDOI

COVID-19 and depressive symptoms in students before and during lockdown

30 Apr 2020-medRxiv (Cold Spring Harbor Laboratory Press)-
TL;DR: There is evidence that students, a high-risk category for mental disorders, report on average worse depressive symptoms than 6 months before isolation, which should alert clinician of a possible aggravation as well as new-onsets of depressive symptoms in students.
Abstract: The lockdown due to coronavirus pandemic may exacerbate depressive symptoms, experts argue. Here we report that students, a high-risk category for mental disorders, report on average worse depressive symptoms than six months before isolation. The prospective data reported herein should alert clinician of a possible aggravation as well as new-onsets of depressive symptoms in students.

Content maybe subject to copyright    Report

1
COVID-19 and depressive symptoms in students before and during lockdown
1
2
Nicola Meda
1
; Susanna Pardini
2
, MSc; Irene Slongo
2
, BSc; Luca Bodini
3
, MSc; Paolo Rigobello
1
;
3
Francesco Visioli
1,4*
, PhD; Caterina Novara
2
, PhD
4
5
1
Department of Molecular Medicine, University of Padova, Padova, Italy
6
2
Department of General Psychology, University of Padova, Padova, Italy
7
3
Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
8
4
IMDEA-Food, CEI UAM + CSIC, Madrid, Spain
9
10
*
Corresponding author: Francesco Visioli, PhD, Department of Molecular Medicine, University of
11
Padova, Viale G. Colombo 3, 35131 Padova, Italy (francesco.visioli@unipd.it)
12
13
14
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprintthis version posted April 30, 2020. ; https://doi.org/10.1101/2020.04.27.20081695doi: medRxiv preprint
NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice.

2
ABSTRACT
15
The lockdown due to coronavirus pandemic may exacerbate depressive symptoms, experts argue.
16
Here we report that students, a high-risk category for mental disorders, report on average worse
17
depressive symptoms than six months before isolation. The prospective data reported herein should
18
alert clinician of a possible aggravation as well as new-onsets of depressive symptoms in students.
19
20
The current coronavirus pandemic has been affecting Europe since late February 2020, forcing
21
governments to put citizens in lockdown. Among growing concerns of the effects of isolation on
22
mental health
1,2
, only retrospective data are available to assess if actual changes occur
3
. Here we
23
provide prospective evidence of a change in depressive symptomatology of Italian students during
24
COVID-19-related lockdown.
25
The study was approved by the University of Padova Ethical Committee of Psychology and
26
participants provided informed consent. Between October 3
rd
and October 23
rd
2019, we introduced
27
the study to approximately 1000 University of Padova students, 153 of which matched target
28
population characteristics (Italian native speaker students, age 18-30) and completed a demographic
29
questionnaire and the Italian version of Beck Depression Inventory-2
4
(BDI-2, a validated self-
30
report questionnaire for depressive symptoms evaluation, the score of which correlates with severity
31
of depressive symptomatology) online
5
, both in October and in April (between 3
rd
-23
rd
) 2020. We
32
implemented generalised linear mixed models to evince if BDI-2 score changed during isolation
33
with respect to the scores reported 6 months before. To assess a percentage change in BDI-2 score,
34
we defined %ΔBDI-2 as the difference between BDI-2 score during lockdown and before
35
lockdown, the whole divided by BDI-2 score before lockdown + 1 and analysed %ΔBDI-2 with
36
linear mixed-effects models. To assess clinically relevant changes in depressive symptoms, we
37
employed multinomial regression models. Sample characteristics and models employed are reported
38
in Tables A and B, respectively. Anonymised dataset, further details on data analysis, and script are
39
provided as Supplementary Material.
40
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprintthis version posted April 30, 2020. ; https://doi.org/10.1101/2020.04.27.20081695doi: medRxiv preprint

3
BDI-2 total score is slightly higher during lockdown than before (Figure, A and Table). We
41
recorded that the median percentage increase is higher in males (+36%; IQR = -12 – 91%) than in
42
females (+16%; -26 – 89%) and is independent from a history of mental disorder (Figure, B),
43
although students with such history report higher before and during lockdown BDI-2 scores than
44
students without any established diagnosis of psychopathology (Figure, C and Table). This increase
45
is not significantly linked to sex, familiarity for a mental disorder, worry for one’s economic
46
situation, or residence. Statistically, it is significantly linked to BDI-2 score before lockdown
47
(Figure, D) and age, evidencing that younger participants with lower BDI-2 score before lockdown
48
report higher percentage increases in BDI-2 score during lockdown. To assess if such increase
49
could be clinically relevant, we divided participants into three clinically useful categories according
50
to BDI-2 scores before lockdown (below 90
th
percentile, above 95
th
percentile, and between these
51
two ranges
4
) and tested how many participants switched from one category to another, or remained
52
in the same one during lockdown. We fit the observed data to a multinomial regression model and
53
found that a median increase of 22% in BDI-2 score (IQR= -21 – 90%) would not clinically affect
54
79,2% of our target population (IQR = 74,7 – 81,4%); 8,2% (6,9 – 9,8%) would progress to a more
55
serious clinical category (either from < 90
th
to 90
th
-95
th
range or from this latter to > 95
th
); and 6,2%
56
(5,3 – 7,2%) would directly progress from < 90
th
percentile category to the most severe clinical
57
category (Figure, E and F). Less than 5% of participants would improve.
58
As Italy was entirely put in lockdown, it is impossible to assess isolation-independent
59
changes in BDI-2 score. Students could be diversely affected by lockdowns: isolation may be
60
responsible of a median increase of 22% in BDI-2 score, which would be clinically relevant for up
61
to 15% of our target population. Our data should alert clinicians of possible aggravation of
62
depressive symptoms in students, independently from a history of mental disorder.
63
64
65
66
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprintthis version posted April 30, 2020. ; https://doi.org/10.1101/2020.04.27.20081695doi: medRxiv preprint

4
Author contributions: All authors designed the study protocol, interpreted data and critically
67
revised the manuscript; N.M. acquired data and analysed it and drafted the manuscript; P.R., F.V.
68
C.N., S.P. provided technical, material or administrative support to the study; F.V., C.N., S.P.
69
provided their supervision and expertise.
70
Competing interests: the authors declare no competing interests
71
Funding/Support: this study received no financial support
72
Additional Information: Dataset and R Script for analysis are provided as Supplementary Material
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprintthis version posted April 30, 2020. ; https://doi.org/10.1101/2020.04.27.20081695doi: medRxiv preprint

5
REFERENCES
93
1. Holmes, E. A. et al. Multidisciplinary research priorities for the COVID-19 pandemic: a call for
94
action for mental health science. The Lancet Psychiatry S2215036620301681 (2020)
95
doi:10.1016/S2215-0366(20)30168-1.
96
2. Reger, M. A., Stanley, I. H. & Joiner, T. E. Suicide Mortality and Coronavirus Disease 2019—A
97
Perfect Storm? JAMA Psychiatry (2020) doi:10.1001/jamapsychiatry.2020.1060.
98
3. Brooks, S. K. et al. The psychological impact of quarantine and how to reduce it: rapid review of
99
the evidence. The Lancet 395, 912–920 (2020).
100
4. Sica, C. & Ghisi, M. The Italian versions of the Beck Anxiety Inventory and the Beck
101
Depression Inventory-II: Psychometric properties and discriminant power. in Leading-edge
102
psychological tests and testing research 27–50 (Nova Science Publishers, 2007).
103
5. Harris, P. A. et al. Research electronic data capture (REDCap)—A metadata-driven methodology
104
and workflow process for providing translational research informatics support. Journal of
105
Biomedical Informatics 42, 377–381 (2009).
106
107
108
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprintthis version posted April 30, 2020. ; https://doi.org/10.1101/2020.04.27.20081695doi: medRxiv preprint

Citations
More filters
Journal ArticleDOI
TL;DR: The psychological impact of COVID-19 lockdowns is small in magnitude and highly heterogeneous, suggesting that lockdowns do not have uniformly detrimental effects on mental health and that most people are psychologically resilient to their effects.
Abstract: Lockdowns to control the spread of the coronavirus disease 2019 (COVID-19) have had profound effects on everyday life worldwide, but their effect on mental health remains unclear because available meta-analyses and reviews rely mostly on cross-sectional studies. We conducted a rapid review and meta-analysis of longitudinal studies and natural experiments investigating the relationship between COVID-19 lockdowns and mental health. A total of 25 studies involving 72 004 participants and 58 effect sizes were analyzed. Using a random effects model, we found that lockdowns had small effects on mental health symptoms, g = 0.17, s.e. = 0.05, 95% CI (0.06-0.24), p = 0.001, but the effects on positive psychological functioning, g = -0.12, s.e. = 0.11, 95% CI (-0.33 to 0.09), p = 0.27, were not significant. Multivariate analysis of effect sizes revealed significant and relatively small effect sizes for anxiety and depression, while those for social support, loneliness, general distress, negative affect, and suicide risk were not significant. The results indicated substantial heterogeneity among studies, but meta-regression analyses found no significant moderation effects for mean age, gender, continent, COVID-19 death rate, days of lockdown, publication status or study design. The psychological impact of COVID-19 lockdowns is small in magnitude and highly heterogeneous, suggesting that lockdowns do not have uniformly detrimental effects on mental health and that most people are psychologically resilient to their effects.

424 citations

Journal ArticleDOI
TL;DR: The need for increased attention and resources to go toward improving digital literacy in the elderly, and the need to put in place measures to offer immediate solutions during the COVID-19 crisis, and solutions to close the digital divide for good in the long-term are highlighted.
Abstract: The COVID-19 pandemic has had huge effects on the daily lives of most individuals in the first half of 2020. Widespread lockdown and preventative measures have isolated individuals, affected the world economy, and limited access to physical and mental healthcare. While these measures may be necessary to minimize the spread of the virus, the negative physical, psychological, and social effects are evident. In response, technology has been adapted to try and mitigate these effects, offering individuals digital alternatives to many of the day-to-day activities which can no longer be completed normally. However, the elderly population, which has been worst affected by both the virus, and the lockdown measures, has seen the least benefits from these digital solutions. The age based digital divide describes a longstanding inequality in the access to, and skills to make use of, new technology. While this problem is not new, during the COVID-19 pandemic it has created a large portion of the population suffering from the negative effects of the crisis, and unable to make use of many of the digital measures put in place to help. This paper aims to explore the increased negative effects the digital divide is having in the elderly population during the COVID-19 pandemic. It also aims to highlight the need for increased attention and resources to go toward improving digital literacy in the elderly, and the need to put in place measures to offer immediate solutions during the COVID-19 crisis, and solutions to close the digital divide for good in the long-term.

99 citations

Journal ArticleDOI
TL;DR: In this paper , a Caputo-Fabrizio fractional order epidemiological model for the transmission dynamism of the severe acute respiratory syndrome coronavirus 2 pandemic and its relationship with Alzheimer's disease was proposed.
Abstract: In this paper, we study a Caputo–Fabrizio fractional order epidemiological model for the transmission dynamism of the severe acute respiratory syndrome coronavirus 2 pandemic and its relationship with Alzheimer’s disease. Alzheimer’s disease is incorporated into the model by evaluating its relevance to the quarantine strategy. We use functional techniques to demonstrate the proposed model stability under the Ulam–Hyres condition. The Adams–Bashforth method is used to determine the numerical solution for our proposed model. According to our numerical results, we notice that an increase in the quarantine parameter has minimal effect on the Alzheimer’s disease compartment. • A new Caputo–Fabrizio fractional SARS-CoV-2 epidemiological model with Alzheimer’s disease is proposed. • Ulam–Hyres (HU) stability condition for the given system is determined using nonlinear functional analysis. • The Lagrange interpolation is used to obtain the desired solution analytically. • The number of susceptible, exposed and symptomatic infected human’s decreases as the fractional orders decrease, and quarantine and Alzheimer’s disease human’s increases as the fractional orders decrease.

18 citations

Journal ArticleDOI
TL;DR: The impact of lockdown in agriculture students on their education along with their response towards pros and cons is highlighted in this article, where 150 respondents were selected randomly and this survey intends to highlight the impact of lock-down on agriculture students.
Abstract: The official announcement of COVID-19 as a global pandemic on 11 March 2020 by WHO, the world economy has abruptly declined, billions of people are in lockdown, maintaining self-isolation. In this survey, 150 respondents were selected randomly and this survey intends to highlight the impact of lockdown in agriculture Students on their education along with their response towards pros and cons. This survey shows that maximum respondent, around 52% of them found lockdown beneficial in the sense that it has helped to neutralize the gravity of viral infection and 48% of them doesn’t found it beneficial as their educational schedule has been halted. The practical education of a student is disturbed due to lockdown and now they are utilizing this period involving in online courses, training, and webinars. Many of them couldn’t have access to the internet to catch the session, thus the government should initiate policy in education through a long term perspective so that no pandemic could interfere with the educational institution in digital world.

11 citations


Cites background from "COVID-19 and depressive symptoms in..."

  • ...They are mentally disturbed (Meda et al., 2020) due to lockdown which seems to be unhealthy regarding physical health but staying at home is necessary to prevent spread of disease....

    [...]

Journal ArticleDOI
TL;DR: In this paper , the authors examined the relationship among fear, spirituality, and mental health on COVID-19 among adults in Malaysia and found that spirituality significantly mediated the relationship between fear and depression.
Abstract: The novel coronavirus disease (COVID-19) is impactful on all aspects of individuals’ lives, particularly mental health due to the fear and spirituality associated with the pandemic. Thus, purpose of this study was to identify the relationship among fear, spirituality, and mental health on COVID-19 among adults in Malaysia. This study also examines spirituality as a mediator in relationship between fear and mental health. The study involved around 280 adults in Malaysia. This research is a quantitative study. Data analysis method (SEM-PLS) has been used for data analysis. Based on descriptive analysis, mental health questionnaire indicated that 60.0% of them are at a poor level of mental health whereas 57.5% of respondents showed a moderate level of COVID-19 fear, and 60.4% of respondents owned moderate level of spiritual well-being. The results also demonstrated that respondents that have a high level of fear would have a high level of mental health; interestingly, those with a high level of spirituality will have a lower level of mental health. Findings indicated that spirituality significantly mediated the relationship between fear and mental health. This research will help to demonstrate how important spirituality values to control mental health to be more positive among adults in Malaysia. The main contributions of this study are to help come out with new intervention method for those who are mentally ill and need help.

8 citations

References
More filters
Journal ArticleDOI
TL;DR: Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data Capture tools to support clinical and translational research.

29,988 citations

Journal ArticleDOI
TL;DR: A review of the psychological impact of quarantine using three electronic databases is presented in this article, where the authors report negative psychological effects including post-traumatic stress symptoms, confusion, and anger.

10,370 citations

Journal ArticleDOI
TL;DR: Action could be taken to mitigate potential unintended consequences on suicide prevention efforts, which also represent a national public health priority, and to reduce the rate of new infections.
Abstract: Suicide rates have been rising in the US over the last 2 decades. The latest data available (2018) show the highest age-adjusted suicide rate in the US since 1941.1 It is within this context that coronavirus disease 2019 (COVID-19) struck the US. Concerning disease models have led to historic and unprecedented public health actions to curb the spread of the virus. Remarkable social distancing interventions have been implemented to fundamentally reduce human contact. While these steps are expected to reduce the rate of new infections, the potential for adverse outcomes on suicide risk is high. Actions could be taken to mitigate potential unintended consequences on suicide prevention efforts, which also represent a national public health priority.

679 citations

Frequently Asked Questions (1)
Q1. What are the contributions mentioned in the paper "Covid-19 and depressive symptoms in students before and during lockdown" ?

It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.