Depression in pregnant and postpartum women during COVID-19 pandemic: systematic review and meta-analysis

Nicholas Adrianto; Josephine Caesarlia; Fegita Beatrix Pajala

doi:10.5468/ogs.21265

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Obstet Gynecol Sci > Volume 65(4); 2022 > Article

Adrianto, Caesarlia, and Pajala: Depression in pregnant and postpartum women during COVID-19 pandemic: systematic review and meta-analysis

Review Article

Maternal-Fetal Medicine

Obstetrics & Gynecology Science 2022;65(4):287-302.

Published online: June 27, 2022

DOI: https://doi.org/10.5468/ogs.21265

Depression in pregnant and postpartum women during COVID-19 pandemic: systematic review and meta-analysis

Nicholas Adrianto, B.Med

, Josephine Caesarlia, B.Med, Fegita Beatrix Pajala, B.Med

Faculty of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, Indonesia

Corresponding author Nicholas Adrianto, B.Med, Faculty of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, RT.5/RW.4, Karet Semanggi, Jakarta 12930, Indonesia, E-mail: nicholasadrianto@yahoo.com

Received August 9, 2021 Revised January 9, 2022 Accepted May 19, 2022

Articles published in Obstet Gynecol Sci are open-access, distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Coronavirus disease 2019 (COVID-19) emerged as a global pandemic in March 2020 and caused a big crisis, especially the health crisis. Pregnant and postpartum women experienced significant physical, social, and mental changes that put them at higher risk for several conditions during the pandemic. This study aimed to report the prevalence of depression in pregnant and postpartum women during the COVID-19 pandemic. Eligible studies were identified using several databases. Prevalence analysis was conducted using MedCalc ver. 19.5.1. This systematic review and meta-analysis was registered in PROSPERO on July 12, 2021 with registration number CRD42021266976. We included 54 studies with 95.326 participants. The overall prevalence of depression was 32.60% among pregnant and postpartum women during the COVID-19 pandemic. The rate was higher among pregnant women (31.49%) compared to postpartum women (27.64%). The prevalence of depression among pregnant and postpartum women increased during the COVID-19 pandemic.

Keywords: Depression; Pregnant women; Postpartum period; COVID-19; Meta-analysis

Introduction

Coronavirus disease 2019 (COVID-19), a novel infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was declared a global pandemic by the World Health Organization (WHO) on March 11, 2020 [1]. As of July 4, 2021, over 182 million people had been infected with SARS-CoV-2, causing a global health crisis [2]. The uncertainty caused by the lack of an endpoint for the pandemic, while treatment is still not assurance, significantly impacts individuals’ psychology [3]. Because pregnancy is a period in which subtle changes occur both mentally and physically, pregnant women are considered vulnerable to severe forms of COVID-19 [4]. The COVID-19 pandemic mainly affects pregnant women, as the infection affects both mother and child during and after pregnancy [5]. Pregnant women are prone to developing psychological problems such as mood changes, fatigue, emotional disorders, mixed anxiety-depressive disorders, and pregnancy-related anxiety [6]. Depression and anxiety are the most common psychiatric disorders during pregnancy [7]. Antenatal maternal depression is associated with adverse effects on pregnancy and neonatal outcomes, including spontaneous abortion, bleeding, operative delivery, and preterm birth [8,9].

The incidence of depression during pregnancy and the postpartum period is 20.7% and 17%, respectively [10,11]. According to the WHO, approximately 10% of pregnant women and 13% of postpartum women have mental disorders, the most common of which is depression [12].

Understanding the implications of the COVID-19 pandemic on psychological changes in pregnant and postpartum women is essential to avoid its negative impacts and secondary consequences [13]. To date, there have been various publications on the impact of the COVID-19 pandemic on depressive symptoms in pregnant and postpartum women; however, to the best of our knowledge, this is the most updated meta-analysis regarding depression in pregnant and postpartum women. This review aimed to report the prevalence of depression in pregnant and postpartum women during the COVID-19 pandemic.

Methods

1. Eligibility criteria

The literature search was limited to retrospective and prospective studies published in English or Indonesian. Eligible studies had to meet all of the following inclusion criteria: 1) participants were pregnant or delivery women; 2) participants met the clinical cut-off point for depression, assessed through validated questionnaire/healthcare professional diagnosis; 3) data were obtained during the COVID-19 pandemic; 4) empirical or original research studies; and 5) studies that reported the prevalence rates of depression among pregnant and postpartum women during the COVID-19 pandemic.

Single case reports, editorials, commentaries, letters, nonfull-texts, and unpublished or non-peer-reviewed articles were excluded from our review. Single case reports were excluded because they tend to report only severe or unique cases and have the lowest evidence quality. Studies that reported only patients with severe features were also excluded from this review.

2. Information sources

A systematic search of studies was conducted electronically on several databases, including PubMed, EBSCO, and ProQuest, until June 30, 2021. MeSH terms, keywords, and word variants for “COVID-19,” “SARS-CoV-2,” and “pregnancy” were used. References of relevant articles or reviews were searched for additional studies.

3. Search strategy

To perform a systematic review and meta-analysis of studies evaluating depression in pregnant and postpartum women, we used the retrieval expressions: “pregnant women or pregnancy or perinatal or postpartum;” “SARS-CoV-2 or COVID-19 or coronavirus;” and “stress or psychological or mental or depression or depressive or psychology.”

4. Selection process

The articles used in this systematic review and meta-analysis were assessed independently by two authors (NA and JC) for study quality using the Newcastle-Ottawa Scale et al. [14]. This study was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement and Meta-Analysis of Observational Studies in Epidemiology (MOOSE) guidelines [15,16]. All abstracts were reviewed by two authors independently. Any disagreement regarding the relevance of a study was resolved through discussion with a third author (FBP). In cases of studies with the same cohort and identical endpoints, the study with the most comprehensive information was used, while the others were excluded to avoid overlapping cases.

5. Statistical analysis

Meta-analysis of proportions was used to combine all the data; logit transformations were conducted before meta-analysis, and the reported pooled proportions of depression were calculated using a random-effects model. All meta-analyses were performed using MedCalc, version 19.5.1 (MedCalc Software Ltd, Ostend, Belgium). [17]. The P-value for the overall effect, P<0.05 with two-tailed, was considered statistically significant. I² was used to assess the heterogeneity of all the detailed studies. When it was lower than 50%, studies with acceptable heterogeneity were considered, and the fixed-effects model with the Mantel-Haenszel method was used; otherwise, a random-effects model with the DerSimonian and Laird method was adopted.

Publication bias was assessed for each pooled study group using Egger’s linear regression test. As a supplementary approach, Begg’s rank correlation was also applied to assess potential publication bias; when P was >0.05, there was no publication bias in the study.

Results

1. Search results

The initial articles identified from the electronic database yielded 1,112 studies. After screening the titles and abstracts, 73 articles were identified. Finally, 54 studies were included in this meta-analysis. The search flowchart and selection methods used in this study are summarized in Fig. 1.

2. Characteristics of the included studies

Fifty-four studies were included in this systematic review and meta-analysis (Table 1) [18-70]. The included studies were conducted between January 1, 2020 and June 30, 2021 with 95.326 participants. Among the 54 studies, 42 were cross-sectional, 10 were cohort, one was case-control, and one was mixed. Approximately 32 studies were conducted with Edinburgh Postnatal Depression Scale (EPDS), eight with Patient Health Questionnaire-9 (PHQ-9), three with Patient Health Questionnaire-2 (PHQ-2), two with Hospital Anxiety and Depression Scale (HADS), two with Edinburgh Depression Scale (EDS), two with Depression Anxiety and Stress Scale (DASS), one with Patient Health Questionnaire-4 (PHQ-4), one study with Kessler Psychological Distress Scale (K-10), one with Self-Depression Scale (SDS), one with the 10 item Center for Epidemiologic Studies Depression Scale (CES-D-10), and one with professional health diagnosis. The mean maternal age and gestational age in this research was 30.26 years and 25.73 weeks, respectively. This review included studies from many countries. However, most studies were conducted in a single country, with only a few conducted multinationally. These countries include China, Hong Kong, Japan, Iran, Qatar, Israel, Egypt, Turkey, Italy, Switzerland, the Netherlands, Greece, Spain, the United Kingdom, Ireland, Norway, Poland, the United States of America, Canada, and Mexico. All studies were assessed for quality using the New-castle-Ottawa Scale (Tables 2, 3).

3. Prevalence of depression among pregnant and postpartum women during the COVID-19 pandemic

A random-effects meta-analysis of 54 studies revealed a pooled event rate of 0.326 (95% confidence interval [CI], 0.284-0.369), which suggested that the prevalence of depression was 32.6% across the study. This meta-analysis found no evidence of publication bias, which was confirmed statistically by the Begg’s test and Egger’s test of intercept. There was significant between-study heterogeneity (Q=9778.38, P<0.001, I²=99.46). For the pregnant and post-partum women subgroups, a random-effects meta-analysis of 36 and 19 studies revealed pooled event rates of 0.314 (95% CI, 0.268-0.363) and 0.276 (95% CI, 0.219-0.337), respectively. Both results suggested that the prevalence of depression across the studies were 31.4% and 27.6% for pregnant and postpartum women, respectively. Significant heterogeneity between-studies was also demonstrated in both the pregnant and postpartum women subgroups (Q=6728.83, P<0.001, I²=99.48 and Q=1132.91, P<0.001, I²=98.41). The forest plots of the data are shown in Figs. 2-4.

Discussion

In this meta-analysis, we found significantly elevated rates of depression among pregnant and postpartum women during the COVID-19 pandemic compared with the global prevalence of depression before the COVID-19 pandemic, which ranged from 17-20.7% [10,11]. Approximately one-third of the pregnant and postpartum women in this study developed depression during the COVID-19 pandemic. Pregnant and postpartum women undergo significant physical, social, and psychological changes. Consequently, they may be at higher risk of developing mental health problems, particularly depression. Several studies have revealed that depression was prevalent among pregnant women and those in the post-partum period before the COVID-19 pandemic [13,71-78]. In addition, the present study showed a higher prevalence of depression in pregnant and postpartum women during the COVID-19 pandemic than in the general population, which was 28.0% [79].

Since its recognition in December 2019, COVID-19 has spread rapidly worldwide, with serious health, social, and financial consequences. The COVID-19 pandemic has caused significant public health emergencies and resulted in increased fear, anxiety, and uncertainty, especially among pregnant women who are more susceptible to respiratory pathogens and are at an increased risk of severe pneumonia due to the immunological and physiological changes that occur during pregnancy [80]. The prevalence of depression in pregnant and postpartum women increased during the COVID-19 pandemic, ranging from 17% to 31% [13,80-85]. A systematic review and meta-analysis of 19 studies revealed that the pooled prevalence of depression in pregnant and postpartum women during the COVID-19 pandemic was 25% [82]. Another meta-analysis of 15 studies with 11.187 pregnant women found the prevalence of depression to be 30% [85]. A study conducted by Yan et al. [86] (that included 23 studies with 20.569 participants) also found that the prevalence of depression in pregnant and postpartum women was high during the COVID-19 pandemic. Fears of contracting or transmitting COVID-19, worry about their pregnancy and the health of their newborn, the lockdowns/ quarantine, poor economic conditions, loss of income, insufficient social support, and lack of access to healthcare professionals contributed significantly to the mental health of pregnant and postpartum women during the COVID-19 pandemic [28,29,35,40].

During the COVID-19 pandemic, meeting the mental health needs of pregnant and postpartum women was a considerable challenge. Prenatal and postnatal psychiatric problems have substantial long-term adverse effects on mothers, fetuses, and children. The negative consequences include complications during pregnancy and childbirth (pre-eclampsia, miscarriage, preterm birth, gestational hypertension, low infant birth weight, and stillbirth) [87,88]. A systematic review and meta-analysis conducted by Chmielewska et al. [89] revealed that the incidence of maternal mortality, maternal stress, stillbirth, and ruptured ectopic pregnancy was higher during the COVID-19 pandemic compared to that before the COVID-19 pandemic.

Several factors increased the risk of depression in pregnant women during the COVID-19 pandemic, including COVID-19-related worries (fear of infection, worry about the baby’s safety during pregnancy, and the health of family members) [80]. Social restrictions arising from the pandemic constrained pregnant women from accessing healthcare services. Moreover, pregnant women may have been concerned about the possibility of exposure to SARS-CoV-2 when visiting medical facilities, which compelled them to delay antenatal care visits, obstetric examinations, and hospitalization before delivery. In addition, they also wanted to give birth by cesarean section rather than wait for delivery in the hospital [90]. Depression during pregnancy, if left untreated, can have negative obstetric consequences and is linked to inadequate prenatal care, poor maternal health, and postpartum depression [91].

Similar to other mental disorders, biopsychosocial factors are implicated in the etiology of postpartum depression. The possibility of getting infected by SARS-CoV-2 became a new stressor for postpartum women during the pandemic. The uncertainty and unpredictability of the pandemic, which caused fluctuations in regulations, could have played a role [40]. Some situations related to the pandemic such as decreased socioeconomic status and the absence of visitors were risk factors. Lack of support from healthcare staff due to the hospitals’ rush during the pandemic was also a risk factor. Postpartum women living in high-risk COVID-19 transmission areas have a higher risk of developing postpartum depression [52]. We cannot ignore the role factors such as mother’s personal history, poor marital relationship, and prior negative pregnancy experience play in the development of depression, in addition to pandemic-related risk factors [52].

We included all available high-quality studies and updated the literature on depression among pregnant and postpartum women. Our study also highlighted the vulnerable groups among the study population.

This study has some limitations. First, there was high heterogeneity between the included studies; however, the funnel plot was symmetrical. The primary cause of heterogeneity is thought to be the various scales and cut-offs used for its analysis (EPDS, PHQ-9, PHQ-2, HADS, EDS, DASS, PHQ-4, K-10, SDS, and CES-D-10), with only one study conducted by professional health diagnosis. Samples were collected at different times and in different countries in each study. Hence, the challenge faced during the COVID-19 pandemic that served as a stressor differed in every study. Furthermore, the use of self-reported questionnaires may indicate the presence of biases such as social desirability bias, such that pregnant women may have underreported or overreported their data. Second, most of the included studies collected data through online surveys, resulting in a selection bias [92,93]. Finally, majority of included studies were cross-sectional. Hence, further studies on the long-term impact of the COVID-19 pandemic on the mental health of pregnant and postpartum women, particularly depression, are needed.

Conclusion

In conclusion, we demonstrated that the prevalence of depression among pregnant and postpartum women during the COVID-19 pandemic was higher than that before the COVID-19 pandemic. The rate of depression is higher in pregnant women than in postpartum women.

Notes

Conflict of interest

There is no conflict of interest in this research.

Ethical approval

No ethical approval was required because this review analyzed published data.

Patient consent

No patient consent was needed for this research.

Funding information

None.

Fig. 1

The Preferred Reporting Items for Systematic Reviews and Meta-Analysis flow diagram. The diagram summarizes the search strategy and selection process applied to include articles eligible for this meta-analysis.

Fig. 2

Forest plot of 54 studies assessing the prevalence of depression in pregnant and postpartum women.

Fig. 3

Forest plot of 36 studies assessing the prevalence of depression in pregnant women.

Fig. 4

Forest plot of 19 studies assessing depression prevalence among postpartum women.

Table 1

Characteristics of studies included

Study	Country	Study design	Mean MA (years)	Mean GA (weeks)	Depression scale	Depression (%)			Sample size
Study	Country	Study design	Mean MA (years)	Mean GA (weeks)	Depression scale	Pregnant (%)	Postpartum (%)	Total (%)	Sample size
Ahlers-Schmidt et al. [18] (2020)	USA	Cohort	25.3	-	Diagnosis (58-item electronic survey)	-	-	9 (7.9)	114
An et al. [19] (2021)	China	Cross-sectional	30.39	-	EPDS (≥10)	0	119 (56.9)	119 (56.9)	209
Basu et al. [20] (2021)	64 countries	Cross-sectional	31.3		PHQ-4 (≥6)	1,775 (31)	363 (30.7)	2,138 (31.0)	6,894
Berthelot et al. [21] (2020)	Canada	Cohort	29.27	24.8	K10 (≥30)	30 (2.38)	-	30 (2.38)	1,258
Brik et al. [22] (2021)	Spain	Cohort	32.3	-	EPDS (≥10)	62 (38)	-	62 (38)	164
Ceulemans et al. [23] (2021)	Ireland, Norway, Switzerland, the Netherlands, and UK	Cross-sectional	-	-	EDS (≥13)	533	592	1,125	8,087
Chrzan-Dętkoś et al. [24] (2021)	Poland	Cross-sectional	31.74	38.88	EPDS (≥10)	0	65 (83.32)	65 (83.32)	78
Dong et al. [25] (2021)	China	Cross-sectional	-	-	SDS (>50)	79 (50.6)	0	79 (50.6)	156
Durankuş et al. [26] (2020)	Turkey	Cross-sectional	29.56	7.04	EPDS (≥13)	92 (35.4)	0	92 (35.4)	260
Fallon et al. [27] (2021)	UK	Cross-sectional	30.9	-	EPDS (≥13)	0	264 (43)	264 (43)	614
Farewell et al. [28] (2020)	USA	Mixed-method pilot	-	-	PHQ-2 (≥3)	-	-	3 (12)	27
Farrell et al. [29] (2020)	Qatar	Cross-sectional	30.5	26.1	PHQ-9 (≥5)	-	-	113 (39.2)	288
Gur et al. [30] (2020)	USA	Cross-sectional	32.45	24.86	PHQ-2 (>2)	78 (9.9)	0	78 (9.9)	787
Hiiragi et al. [31] (2021)	Japan	Retrospective cohort	-	-	EPDS (≥9)	0	38 (14)	38 (14)	279
Hui et al. [32] (2021)	Hong Kong	Retrospective cohort	33.1	-	EPDS (≥10)	0	133 (14.4)	133 (14.4)	954
Janevic et al. [33] (2021)	USA	Cross-sectional	-	-	PHQ-2 (3-6)	0	13 (5.83)	13 (5.83)	223
Jiang et al. [34] (2021)	China	Cross-sectional	29	-	EDS (≥10)	859 (45.9)	0	859 (45.9)	1,873
Khamees et al. [35] (2021)	Egypt	Cross-sectional	25.08	6.58	EPDS (≥14)	53 (44.2)	0	53 (44.2)	120
King et al. [36] (2021)	USA	Cohort	33.69	26.79	EPDS (≥11)	144 (42)	0	144 (42)	343
Lebel et al. [37] (2020)	Canada	Cross-sectional	32.4	22.5	EPDS (≥13)	653 (37)	0	653 (37)	1,764
Li et al. [38] (2021)	China	Cross-sectional	30.19	-	PHQ-9 (≥5)	-	-	778 (35.34)	2,201
Li et al. [39] (2020)	China	Cross-sectional	-	-	PHQ-9 (≥5)	29 (64.4)	0	29 (64.4)	45
Liang et al. [40] (2020)	China	Cross-sectional	-	-	EPDS (≥10)	0	253 (30)	253 (30)	845
Lin et al. [41] (2021)	China	Cross-sectional	30.51	-	PHQ-9 (≥5)	266 (35.4)	0	266 (35.4)	751
Liu et al. [42] (2021)	USA	Cross-sectional	-	-	EPDS (>13)	260 (36.4)	0	260 (36.4)	715
Lubián López et al. [43] (2021)	Spain	Cross-sectional	-	-	EPDS (>10)	182 (35.4)	0	182 (35.4)	514
Matsushima and Horiguchi [44] (2022)	Japan	Cross-sectional	-	-	EPDS (≥13)	303 (17)	0	303 (17)	1,777
Medina-Jimenez et al. [45] (2020)	Mexico	Cross-sectional	28.1	27.9	EPDS (≥14)	88 (17.5)	0	88 (17.5)	503
Mo et al. [46] (2021)	China	Cross-sectional	-	-	PHQ-9 (≥5)	1,989 (48.7)	0	1,989 (48.7)	4,087
Molgora et al. [47] (2020)	Italy	Cross-sectional	-	-	EPDS (≥13)	133	49	182 (31.65)	575
Ng et al. [48] (2020)	Singapore	Cross-sectional	31.8	-	DASS-21 (>9)	59 (18.4)	0	59 (18.4)	324
Nodoushan et al. [49] (2020)	Iran	Cross-sectional	-	39.4	DASS	220 (39.2)	0	220 (39.2)	560
Obata et al. [50] (2021)	Japan	Cross-sectional	-	23.3	EPDS (≥9)	1,608 (31.83)	867	2,475 (31.83)	7,775
Oskovi-Kaplan et al. [51] (2021)	Turkey	Cross-sectional	26	-	EPDS (≥13)	0	33 (14.79)	33 (14.79)	223
Ostacoli et al. [52] (2020)	Italy	Cross-sectional	34.77	-	EPDS (≥11)	0	72 (44.2)	72 (44.2)	163
Pariente et al. [53] (2020)	Israel	Cohort	29.1	-	EPDS (≥10)	0	38 (23.5)	52 (23.5)	223
Perzow et al. [54] (2021)	USA	Prospective cohort	31.81	-	EPDS (≥10)	-	-	45 (33.3)	135
Racine et al. [55] (2021)	Canada	Prospective cohort	-	-	CES-D-10 (≥10)	458 (35.21)	-	458 (35.21)	1,301
Sade et al. [56] (2020)	Israel	Cross-sectional	-	-	EPDS (≥10)	84 (25)	-	21 (25)	84
Silverman et al. [57] (2020)	New York, USA	Cohort	27	27.3	EPDS (≥9)	-	97 (18.8)	97 (18.8)	516
Suárez-Rico et al. [58] (2021)	Mexico	Cross-sectional	29.9		EPDS (≥13)	-	115 (39.2)	115 (39.2)	293
Sun et al. [59] (2020)	Wuhan, China	Cross-sectional	-	-	EPDS	234 (31.7)	714 (34.1)	972 (33.71)	2,830
Kahyaoglu Sut and Kucukkaya [60] (2021)	Turkey	Cross-sectional	28.2	-	HADS-D (≥8)	227 (56.3)	-	227 (56.3)	403
Thayer et al. [61] (2021)	USA	Cross-sectional	-	-	EPDS (≥15)	496 (23.6)	-	496 (23.6)	2,099
Tsakiridis et al. [62] (2021)	Greece	Cross-sectional	-	25.4	EPDS (≥13)	68 (13.5)	-	68 (13.5)	505
Wang et al. [5] (2021)	China	Cross-sectional	-	-	PHQ-9 (>5)	6,723 (43.6)	-	6,723 (43.6)	15,328
Wu et al. [63] (2020)	China	Cross-sectional	-	39.41	EPDS (≥10)	381 (29.6)	-	381 (29.6)	1,285
Xu et al. [64] (2021)	China	Cross-sectional	30.4	-	EPDS (≥10)	44 (16.1)	-	44 (16.1)	274
Yang et al. [65] (2021)	China	Cross-sectional	-	-	PHQ-9 (≥5)	8,712 (44.6)	-	8,712 (44.6)	19,515
Zanardo et al. [66] (2020)	Northeastern Italy	Case-control	33.73	-	EPDS (>12)	-	26 (28.6)	26 (28.6)	91
Zeng et al. [68] (2020)	China	Cross-sectional	29.2	-	EPDS	109 (21.12)	11 (10.1)	625 (19.2)	625
Zhang et al. [67] (2020)	China	Cross-sectional	28.9	-	EPDS (≥10)	1,094 (58)	-	1,094 (58)	1,901
Zhou et al. [69] (2021)	China	Cross-sectional	29.95	-	PHQ-9	527 (41.63)	-	527 (41.63)	1,266
Zilver et al. [70] (2021)	The Netherlands	Cohort	32.02	-	HADS-D (≥8)	145 (13.2)	-	145 (13.2)	1,102

MA, maternal age; GA, gestational age; EPDS, edinburgh postnatal depression scale; PHQ, patient health questionnaire; K-10, kessler psychological distress scale; EDS, Edinburgh depression scale; SDS, self-depression rating scale; DASS, depression anxiety and stress scale; CES-D-10, the 10 item center for epidemiologic studies depression scale; HADS, hospital anxiety and depression scale-depression.

Table 2

Criteria of the new Ottawa scale scoring

	Score
1. Validated measure
Was the measure of depression or anxiety clearly defined, valid, reliable, and implemented consistently across all study participants?	0=no, 1=yes
2. Peer review
Was the study published in a journal (i.e., peer reviewed)	0=no (unpublished), 1=yes
3. Response rate
Was the participation rate of eligible persons at least 50%? measured consistently across participants?	0=no, 1=yes
4. Objectivity of measure
Does the study rely on self-report of depression or anxiety symptoms, or does it use an objective measure (i.e., diagnostic interview)?	0=self-report, 1=diagnostic interview
5. Exposure time
Was the measurement time frame of anxiety or depression sufficient so that one could reasonably expect to see an association between COVID-19 and any symptoms if they existed (i.e., at least one week since the onset of COVID-19 in the country in which the study was conducted)?	0=no, 1=yes
6. Representativeness of the sample
Was the sample truly representative of the target population?	0=no, 1=yes

Adapted from the National Institutes of Health (NIH) assessment tool for observational cohort and cross-sectional studies and the Newcastle-Ottawa quality assessment scale for cross-sectional studies.

Table 3

New Ottawa scale of the studies included in this review

Study	Validated measure	Published	Response rate	Measure objectivity	Sufficient exposure	Representative Sample	Total
Ahlers-Schmidt et al. [18] (2020)	Yes	Yes	Yes	Yes	Yes	No	5
An et al. [19] (2021)	Yes	Yes	Yes	No	Yes	No	4
Basu et al. [20] (2021)	Yes	Yes	No	No	Yes	No	3
Berthelot et al. [21] (2020)	Yes	Yes	Yes	No	Yes	Yes	5
Brik et al. [22] (2021)	Yes	Yes	Yes	No	Yes	Yes	5
Ceulemans et al. [23] (2021)	Yes	Yes	Unknown	No	Yes	No	3
Chrzan-Dętkoś et al. [24] (2021)	Yes	Yes	Unknown	No	Yes	No	3
Dong et al. [25] (2021)	Yes	Yes	Unknown	No	Yes	No	3
Durankuş et al. [26] (2020)	Yes	Yes	Yes	No	Yes	No	4
Fallon et al. [27] (2021)	Yes	Yes	Unknown	No	Yes	Unknown	3
Farewell et al. [28] (2020)	Yes	Yes	Yes	No	Yes	No	3
Farrell et al. [29] (2020)	Yes	Yes	Unknown	No	Yes	Yes	4
Gur et al. [30] (2020)	Yes	Yes	No	No	Yes	Yes	4
Hiiragi et al. [31] (2021)	Yes	Yes	Yes	No	Yes	No	3
Hui et al. [32] (2021)	Yes	Yes	Yes	No	Yes	No	4
Janevic et al. [33] (2021)	Yes	Yes	No	No	Yes	Unknown	3
Jiang et al. [34] (2021)	Yes	Yes	Unknown	No	Yes	No	3
Khamees et al. [35] (2021)	Yes	Yes	Unknown	No	Yes	No	3
King et al. [36] (2021)	Yes	Yes	No	No	Yes	No	3
Lebel et al. [37] (2020)	Yes	Yes	Unknown	No	Yes	No	4
Li et al. [38] (2021)	Yes	Yes	Unknown	No	Yes	No	3
Li et al. [39] (2020)	Yes	Yes	Yes	No	Yes	No	4
Liang et al. [40] (2020)	Yes	Yes	Yes	No	Yes	No	3
Lin et al. [41] (2021)	Yes	Yes	Unknown	No	Yes	No	3
Liu et al. [42] (2021)	Yes	Yes	Yes	No	Yes	No	4
Lubián López et al. [43] (2021)	Yes	Yes	Unknown	No	Yes	Unknown	3
Matsushima and Horiguchi [44] (2022)	Yes	Yes	No	No	Yes	No	3
Medina-Jimenez et al. [45] (2020)	Yes	Yes	Yes	No	Yes	Yes	5
Mo et al. [46] (2021)	Yes	Yes	Yes	No	Yes	No	4
Molgora et al. [47] (2020)	Yes	Yes	Yes	No	Yes	Unknown	4
Ng et al. [48] (2020)	Yes	Yes	Yes	No	Yes	No	4
Nodoushan et al. [49] (2020)	Yes	Yes	Unknown	No	Yes	Yes	4
Obata et al. [50] (2021)	Yes	Yes	Yes	No	Yes	Yes	5
Oskovi-Kaplan et al. [51] (2021)	Yes	Yes	No	No	Yes	No	3
Ostacoli et al. [52] (2020)	Yes	Yes	Yes	No	Yes	No	4
Pariente et al. [53] (2020)	Yes	Yes	Yes	No	Yes	Unknown	4
Perzow et al. [54] (2021)	Yes	Yes	Unknown	No	Yes	No	3
Racine et al. [55] (2021)	Yes	Yes	Yes	No	Yes	No	4
Sade et al. [56] (2020)	Yes	Yes	Yes	No	Yes	No	4
Silverman et al. [57] (2020)	Yes	Yes	Unknown	No	Yes	No	3
Suárez-Rico et al. [58] (2021)	Yes	Yes	Yes	No	Yes	Yes	5
Sun et al. [59] (2020)	Yes	Yes	Yes	No	Yes	No	4
Kahyaoglu Sut and Kucukkaya [60] (2021)	Yes	Yes	Unknown	No	Yes	No	3
Thayer et al. [61] (2021)	Yes	Yes	Unknown	No	Yes	No	3
Tsakiridis et al. [62] (2021)	Yes	Yes	Yes	No	Yes	Unknown	4
Wang et al. [5] (2021)	Yes	Yes	Unknown	No	Yes	Yes	4
Wu et al. [63] (2020)	Yes	Yes	Unknown	No	Yes	Yes	4
Xu et al. [64] (2021)	Yes	Yes	Unknown	No	Yes	No	3
Yang et al. [65] (2021)	Yes	Yes	Yes	No	Yes	Yes	5
Zanardo et al. [66] (2020)	Yes	Yes	Yes	No	Yes	No	4
Zeng et al. [67] (2020)	Yes	Yes	Yes	No	Yes	Yes	5
Zhang et al. [68] (2020)	Yes	Yes	Unknown	No	Yes	No	3
Zhou et al. [69] (2021)	Yes	Yes	Unknown	No	Yes	No	3
Zilver et al. [70] (2021)	Yes	Yes	Unknown	No	Yes	Yes	4

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