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. 2022 Jan 11;54(3):913–925. doi: 10.1007/s10578-021-01297-1

Mental Health Impact of COVID-19 among Children and College Students: A Systematic Review

Jad A Elharake 1,2,✉,#, Faris Akbar 1,3,#, Amyn A Malik 1,2, Walter Gilliam 4, Saad B Omer 1,2,5,6
PMCID: PMC8747859  PMID: 35013847

Abstract

The COVID-19 pandemic led to a worldwide lockdown and school closures, which have placed a substantial mental health burden on children and college students. Through a systematic search of the literature on PubMed and Collabovid of studies published January 2020–July 2021, our findings of five studies on children and 16 studies on college students found that both groups reported feeling more anxious, depressed, fatigued, and distressed than prior to the pandemic. Several risk factors such as living in rural areas, low family socioeconomic status, and being a family member or friend to a healthcare worker were strongly associated with worse mental health outcomes. As schools and researchers discuss future strategies on how to combine on-site teaching with online courses, our results indicate the importance of considering social contacts in students’ mental health to support students at higher risk of social isolation during the COVID-19 pandemic.

Keywords: Mental health, School children, Depression, Education, Public health

Introduction

The coronavirus disease 2019 (COVID-19) pandemic has adversely impacted countries around the world and overwhelmed the health care infrastructure with over 267 million confirmed cases and 5.3 million deaths (as of December 2021) [1]. Due to the severe threat of the virus, governments enforced strict social distancing measures, including large-scale lockdowns, travel limitations, and school closures. While these policies may have been appropriate to contain the outbreak, they have led to unprecedented disruptions in people’s daily lives while also placing a significant mental health burden.

Interestingly, similar mental health effects were seen in past containment efforts during infectious disease outbreaks, such as the severe acute respiratory syndrome (SARS) in 2003 [2, 3], the 2009 swine flu pandemic [4, 5], and the 2014–2016 Ebola epidemic [6]. Various studies showed that these outbreaks led to a substantial rise in depression, psychological distress, anxiety, and other mental health illnesses among the general public. While there has been plenty of research on the effects of epidemics and pandemics on mental health, particularly adults, very little is known about the impact of disease outbreaks on the mental health of children and college students, especially on a global scale.

As a result of COVID-19, children, adolescent, and college students are experiencing long duration of quarantine, physical isolation from their friends, teachers, and extended family members, and are forced to adapt to a virtual way of learning. Due to this unexpected and forced transition, children and college students may not have adequate academic resources, social contact and support, or a learning-home environment, which may lead to a heightened sense of loneliness, distress, anger, and boredom—causing an increase in negative psychological outcomes. Mental health issues may also arise from the disease itself, such as grief from loss of lives, opportunities, and employment [7–9]. Similar psychological effects have been found from wars and previous disease outbreaks [10–13]. Additionally, inequities and disparities in the social determinants of health (e.g., income status, immigrant background, language barrier, parents’ educational background, and access to adequate healthcare) may contribute further to the development of psychological distress among children and college students living through the COVID-19 pandemic.

The purpose of this systematic review is to learn about the impact of the COVID-19 pandemic on the mental health of children, adolescents, and college students. Our study will help policymakers, K-12 school administrators, and university leadership understand the need to develop mental health interventions and social support programs to cater to the mental health needs of adolescents and young adults. Identifying practical solutions to address and support adolescents and young adults is incredibly important as students begin to fully transition to in-person learning.

Methods

Data Collection

Through a systematic search of the literature on PubMed and Collabovid websites, a review of available peer-reviewed and non-peer reviewed studies (published January 2020–July 2021) was conducted. Two authors of this review independently retrieved studies from the searches using terms relevant to the impact of COVID-19 on the mental health of children, including all possible combinations of the following: (1) youth or child or adolescent, (2) coronavirus or COVID-19, and (3) mental health or depression or stress or post-traumatic stress disorder (PTSD) or insomnia or mood. Similar process was completed in regards to the impact of COVID-19 on the mental health of college students. All possible combinations of the following terms were used to identify relevant college student studies: (1) college students or undergraduate or graduate, (2) coronavirus or COVID-19, and (3) mental health or depression or stress or PTSD or insomnia or mood. Articles that were not primary research studies, including editorials, reviews, comments, viewpoints, correspondences, and other articles lacking a primary data collection, were excluded.

Data Analysis

Once the relevant studies had been collected, we utilized a data summary analysis. Two authors of this review independently extracted data on basic demographic characteristics and mental health measurements, which were then organized into summary tables.

Results

Child and Adolescent Studies

With respect to child and adolescent studies, a total of 2652 articles were found and after removal of 2038 duplicates, 614 studies remained. Of the 614 studies, 609 were excluded due to lack of data and those were not relevant to the purpose of the study. Five studies remained, which were all cross-sectional studies, conducted in China, and the variables most commonly measured were depression and anxiety [14–18]. The total number of participants across all studies ranged from 584 to 4342. See Fig. 1 and Table 1 for more details.

Fig. 1.

Fig. 1

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Systematic review of studies on COVID-19 impact on child mental health

Table 1.

COVID-19 Child-related Mental Health Studies

Authors Publication Status Study Type Country Data Collection Timeline Total (N) Gender Age Range Parent Education Child Education Parents work as Healthcare Workers Worried and concerned about COVID-19 Region Depression Anxiety The Spence Child Anxiety Scale (SCAS) Score Post-Traumatic Stress Disorder (PTSD) Stress
Chen et al Peer-reviewed Cross-sectional China April 16 to April 23, 2020 1036

Male: 531 (51%)

Female: 505 (49%)

6–8 years old: 343 (33%)

9–12 years old: 310 (30%)

13–15 years old: 383 (37%)

Primary education and below: 155 (8%)

Secondary education level: 734 (35%)

University education level and above: 1183 (57%)

 N/A 58 (5.6%) N/A N/A Yes: 112 (11.78%) Yes: 196 (18.9%) N/A N/A N/A
Duan et al Peer-reviewed Cross-sectional China N/A 3613

Male: 1812 (50%)

Female: 1801 (50%)

7–12 years old: 359 (10%)

13–18 years old: 3254 (90%)

 N/A

Primary school: 218 (6%)

Secondary school-fresh: 1949 (54%)

Secondary school-repeated: 54 (1.5%)

High school-fresh: 1374 (38%)

High school-repeated: 18 (0.5%)

Father only: 57 (2%)

Mother only: 47 (1%)

Both parents: 37 (1%)

Relatives 32: (1%)

None: 3443 (95%)

Very concerned: 2109 (58%)

Concerned: 1181 (33%)

Average: 300 (8%)

Not concerned 15 (~ 0%)

Very unconcerned: 8 (~ 0%)

Urban: 1799 (50%)

Rural: 1814 (50%)

 Yes: 795 (22%) N/A

Children

Male: 21.68 ± 14.76

Female: 25.88 ± 16.47

Overall: 23.87 ± 15.79

Adolescent

Male: 25.56 ± 19.32

Female: 33.09 ± 19.54

Overall: 29.27 ± 19.79

 N/A N/A
Liang et al Peer-reviewed Cross-sectional China N/A 584

Male: 223 (38%)

Female: 361 (62%)

14–20 years old: 130 (22.3%)

21–30 years old: 436 (74.6%)

31–35 years old: 18 (3.1%)

 N/A

Junior high school or below: 18 (3.1%)

High school or secondary school: 32 (5.5%)

Undergraduate or college: 455 (77.9%)

Master’s degree or above: 79 (13.5%)

 N/A N/A N/A N/A N/A N/A

Female: 26.74 ± 8.89

Male: 29.27 ± 13.58

 N/A
Xie et al Peer-reviewed Cross-sectional China February 28 to March 5, 2020 1784

Male: 1012 (56.7%)

Female: 772 (43.3%)

 N/A N/A

Grade 2: 373 (20.9%)

Grade 3: 329 (18.4%)

Grade 4: 406 (22.8%)

Grade 5: 298 (16.7%)

Grade 6: 378 (21.2%)

 N/A

Worried/Concerned about COVID-19

Quite worried: 665 (37.3%)

Moderately worried: 445 (24.9%)

Slightly or not worried: 674 (37.8%)

Optimism about COVID-19

Quite optimistic: 908 (50.9%)

Moderately optimistic: 665 (37.3%)

Not optimistic: 211 (11.8%)

 N/A

Depressive symptoms:

403 (22.6%)

Anxiety symptoms:

337 (18.9%)

 N/A N/A N/A
Tang et al Peer-reviewed Cross-sectional China March 13–23, 2020 4342

Male: 2216 (51%)

Female: 2126 (49%)

 N/A N/A

Primary school: 996 (22.9%)

Junior secondary school: 3023 (69.6%)

Senior secondary school: 323 (7.4%)

 N/A N/A

Depressive symptoms:

855 (19.7%)

Anxiety symptoms:

1081 (24.9%)

 N/A N/A

Stress symptoms:

660 (15.2%)
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Depression

Of the five child and adolescent studies, four studies measured depression levels to assess their populations’ mental health [14, 15, 17, 18]. Chen et al. (2020) study participants’ age ranged from 6 to 15 years old, Duan et al. (2020) ranged from 7 to 18 years old, and Tang et al. (2021) ranged from 6 to 17 years old. Xie et al. (2020) study did not include the participants’ age information. To measure depression, Duan et al. (2020) and Xie (2020) et al. both used the Child Depression Inventory (CDI) scale, Chen et al. (2020) used the Depression Self-Rating Scale for Children (DSRS-C), and Tang et al. (2021) used the Depression, Anxiety, and Stress Scale (DASS-21). Across the five studies, the percentage of those who met the criteria for depression and/or experienced depressive symptoms ranged from 11.78% to 22.6%.

Anxiety

In the four studies that measured anxiety, Chen et al. (2020) and Xie et al. (2020) both used the Screen for Child Anxiety Related Emotional Disorders (SCARED) scale, Duan et al. (2020) used the Spence Child Anxiety Scale (SCAS), and Tang et al. (2021) used the DASS-21. In the Chen et al. (2020) and Xie et al. (2020) studies, 18.9% of the sample population met the criteria for anxiety, while 24.9% of the sample population from the Tang et al. (2021) study experienced anxiety. On the other hand, in the Duan et al. (2020) study, anxiety score for children was 23.87 ± 15.79, while the anxiety score for adolescents was 29.27 ± 19.70.

PTSD and Stress

Only two of the five child and adolescent studies, Liang et al. (2020) [16] and Tang et al. (2021), measured stress. The Liang et al. (2020) study measured PTSD using the PTSD Checklist-Civilian Version (PCL-C), while the Tang et al. (2021) study used the DASS-21 to measure stress. The results from the Liang et al. (2021) study showed that the male average score was 29.27 ± 13.58 and the female average score was 26.74 ± 8.89. Overall, 14% of the population, which included individuals from 14 to 35 years old, reported having PTSD symptoms. On the other hand, the Tang et al. (2021) study found that 15.2% of their sample population experienced stress symptoms.

Sociodemographic Characteristics & Other Factors

In the Chen et al. (2020) study, it was found that lower parents’ educational attainment is associated with increased risk of depression among the children. On the other hand, the Duan et al. (2020) study found that having a family member or friend infected with coronavirus was significantly associated with worse mental health outcomes.

College Student Studies

Among college student studies, a total of 2921 articles were found and after removal of 2459 duplicates, 462 studies remained. Of the 462 studies, 446 were excluded due to lack of data and those that were not relevant to the purpose of the study. Of the 16 studies remaining, 15 were cross sectional studies and one was a cohort study [16, 19–33]. The total number of participants across the seven studies ranged from 195 to 89,588 college students. The variables most commonly measured in these studies were depression and anxiety, and some studies included other variables such as stress and suicidal thoughts. While a majority of these studies came from China, some were conducted in other countries, including France, India, Jordan, Nigeria, Switzerland, and the United States. See Fig. 2 and Table 2 for more details.

Fig. 2.

Fig. 2

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Systematic review of studies on COVID-19 impact on college student mental health

Table 2.

COVID-19 College Student-related Mental Health Studies

Author Publication Status Study Type Country Data Collection Timeline Total (N) Gender Anxiety Depression Stress General Health Questionnaire -12 (GHQ-12) Post-Traumatic Stress Disorder (PTSD) Negative Coping Post-Traumatic Growth Suicidal Thoughts Depressive Thoughts Crying Spells/ Losing Control Feeling Fatigued Feeling Sad and Empty
Liang et al Peer-reviewed Cross-sectional China N/A 584

Male: 223 (38%)

Female: 361 (62%)

 N/A N/A N/A

Female: 11.55 ± 6.14

Male: 12.85 ± 6.66

Female: 26.74 ± 8.89

Male: 29.27 ± 13.58

Female: 19.15 ± 5.00

Male: 20.44 ± 6.05

 N/A N/A N/A N/A N/A N/A
Son et al Peer-reviewed Cross-sectional United States April 2020 195

Male: 84 (43%)

Female: 111 (57%)

Anxiety level increased: 138 (71%)

Anxiety level remained the same: 39 (20%)

Anxiety level decreased: 18 (9%)

 N/A

Stress level increased: 138 (71%)

Stress level remained the same: 39 (20%)

Stress level decreased: 18 (9%)

 N/A N/A N/A N/A

None: 179 (92%)

Mild: 10 (5%)

Moderate: 6 (3%)

Severe: 0 (0%)

None: 109 (56%)

Mild: 57 (29%)

Moderate: 19 (10%)

Severe: 10 (5%)

 N/A N/A N/A
Wang et al Peer-reviewed Cross-sectional China January 31 to February 5, 2020 44,447

Male: 20,217 (45.5%)

Female: 24,230 (54.5%)

 Experienced Anxiety: 3434 (7.7%) N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
Elmer et al Peer-reviewed Cohort Switzerland

Cohort 1: 2016–2019

Cohorts 2 & 3: 2017–2020

Total: 336

Cohort 1: 54

Cohort 2: 86

Cohort 3: 196

Cohort 1:

Male: 33 (61%)

Female: 21 (38.9%)

Cohort 2:

Male: 57 (62%)

Female: 29 (38%)

Cohort 3:

Male: 166 (85%)

Female: 30 (15%)

 Those assessed during the pandemic were more anxious (Mdiff = 0.60, SE = 0.24, t (208) = 2.47, p = .014, d = .10) Those assessed during the pandemic were more depressed (Mdiff = 4.44, SE = 0.50, t (208) = 8.89, p < .001, d = .34) Those assessed during the pandemic were more stressed (Mdiff = 2.67, SE = 0.40, t (208) = 6.64, p < .001, d = .23) N/A N/A N/A N/A N/A N/A N/A N/A N/A
Chi et al Peer-reviewed Cross-sectional China February 12–17, 2020 2038

Male: 755 (37%)

Female: 1283 (63%)

 Experienced anxiety: (15%) Experienced depression: (23.3%) N/A N/A 628 (30.8%) reported having PTSD N/A 1363 (66.9%) reported having post-traumatic growth N/A N/A N/A N/A N/A
Naser et al Peer-reviewed Cross-sectional Jordan March 22–28, 2020 1165

Female: 627 (54%)

Male: 538 (46%)

Mild anxiety: 394 (33.8%)

Moderate anxiety: 284 (24.4%)

Severe anxiety: 250 (21.5%)

Minimal depression: 148 (12.7%)

Mild depression: 302 (25.9%)

Moderate depression: 266 (22.8%)

Moderately severe depression: 236 (20.3%)

Severe depression 213 (18.3%)

 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
Sun et al Non-peer reviewed Cross-sectional China March 20 to April 10 2020 1912

Female: 1334 (59%)

Male: 578 (41%)

No symptoms: 1248 (65.27%)

Mild symptoms: 480 (25.10%)

Moderate symptoms: 158 (8.26%)

Severe symptoms: 26 (1.36%)

No symptoms: 1022 (53.45%)

Mild symptoms: 592 (30.96%)

Moderate symptoms: 169 (8.84%)

Moderately severe: 102 (5.33%)

Severe symptoms: 27 (1.41%)

 N/A N/A

No symptoms: 630 (32.95%)

Mild symptoms 944 (49.37%)

Moderate symptoms: 119 (6.22%)

Severe symptoms: 219 (11.45%)

 N/A N/A

Never: 1538 (80%)

Rarely: 261 (14%)

Sometimes: 93 (5%)

Often: 20 (1%)

 N/A N/A N/A N/A
Ojewale Non-peer reviewed Cross-sectional Nigeria N/A 386

Female: 232 (60%)

Male: 154 (40%)

Normal: 226 (58.5%)

Mild: 80 (20.7%)

Moderate: 65 (16.8%)

Severe: 15 (3.9%)

Normal: 263 (68.1%)

Mild: 81 (21%)

Moderate: 32 (8.3%)

Severe: 10 (2.6%)

 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
Moghe et al Non-peer reviewed Cross-sectional India June 23 to June 30, 2020 351

Female: 162 (46%)

Male: 186 (53%)

Prefer not to say: 3 (0%)

 N/A N/A N/A N/A N/A N/A N/A N/A N/A

Female: 122 (34.9%)

Male: 124 (35.3%)

Female: 123 (35.1%)

Male: 124 (35.3%)

Female: 151 (42.9%)

Male: 147 (41.8%)
Chang et al Peer-reviewed Cross-sectional China January 31, 2019 to February 3, 2020 3881

Male: 1434 (37%)

Female: 2447 (63%)

Mild: 900 (23.19%)

Moderate: 105 (2.71%)

Severe: 27 (0.7%)

Mild: 659 (16.98%)

Moderate: 123 (3.17%)

Severe: 39 (1.01%)

 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
Wang et al Peer-reviewed Cross-sectional United States May 4 to May 19, 2020 2031

Male: 757 (37%)

Female: 1252 (63%)

None: 616 (30%)

Mild: 670 (33%)

Moderate: 447 (22%)

Severe: 298 (15%)

Mild: 647 (32%)

Moderate: 496 (24%)

Moderately severe: 316 (15%)

Severe: 148 (7%)

 Stress levels increased: 1143 (56%) N/A N/A N/A N/A

None: 1695 (83.44%)

Mild: 213 (10.53%)

Moderate: 84 (4.12%)

Severe: 39 (1.91%)

None: 677 (33.33%)

Mild: 717 (35.29%)

Moderate: 469 (20.31%)

Severe: 225 (11.06%)

 N/A N/A N/A
Cao et al Peer-reviewed Cross-sectional China N/A 7143

Male: 2168 (30%)

Female: 4975 (70%)

Normal: 5367 (75.1%)

Mild: 1518 (21.4%)

Moderate: 196 (2.7%)

Severe: 62 (0.8%)

 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
Fu et al Peer-Reviewed Cross-sectional China May 10 to June 10, 2020 89,588

Male: 39,194 (44%)

Female: 50,394 (56%)

Symptoms: 36,865 (41.1%)

No symptoms: 52,723 (58.9%)

 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
Rudenstine et al Peer-reviewed Cross-sectional United States April 8 to May 2 2020 1821

Male: 493 (27.1%)

Female: 1301 (71.6%)

Symptoms: 752 (41.3%)

No symptoms: 1069 (58.7%)

Symptoms: 916 (50.3%)

No symptoms: 905 (49.7%)

 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
Ma et al Peer-reviewed Cross-sectional China February 3–10, 2020 746,217

Male: 331,613 (44.4%)

Female: 414,604 (55.6%)

 82,084 (11%) 157,452 (21.1%) 26,600 (34.9%) N/A N/A N/A N/A N/A N/A N/A N/A N/A
Wathelet et al Peer-reviewed Cross-sectional France April 17 to May 4, 2020 69,054

Male: 18,019 (26%)

Female: 50,251 (73%)

 18,990 (27.5%) 11,118 (16.1%) 17,056 (24.7%) N/A N/A N/A N/A 7872 (11.4%) N/A N/A N/A N/A
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Depression

Of the 16 college student studies, ten studies evaluated their samples’ level of depression [20–23, 25, 26, 28, 30–32]. All ten studies distributed online surveys, but nine studies [20–23, 25, 26, 30–32] were cross-sectional and one [28] was a cohort-study. To measure depression levels, seven studies [20–22, 25, 26, 30, 31] utilized the Patient Health Questionnaire-9 (PHQ-9), Elmer et al. (2020) used the Center for Epidemiologic Studies Depression scale, Ojewale (2020) study used the Hospital Anxiety Depression Scale (HADS), and Wathelet et al. (2021) used the 13-item Beck Depression Inventory. Across all studies, the percentage of college students who reported moderate or severe level of depression ranged from 4.18% to 50.3%.

Anxiety

In the 14 studies that measured anxiety levels [19–32], Son et al. (2020) asked general anxiety questions, Ojewale (2020) used the Hospital Anxiety Depression Scale (HADS), Wathelet et al. (2021) used the 20-item State-Trait Anxiety Inventory, two studies [21, 27] used the Self-rating Anxiety Scale (SAS), and the other nine studies [19, 20, 22, 25, 26, 28–31] used the Generalized Anxiety Disorder‐7 (GAD‐7). Across all studies, the percentage of college students who reported experiencing some level of anxiety due to the COVID-19 pandemic ranged from 7.7% to 79.66%.

Stress

In the five studies that measured stress, Son et al. (2020) and Wang et al. (2020) asked general questions about stress levels, Elmer et al. and Wathelet et al. (2021) used the Perceived Stress Scale-10 (PSS-10), and Ma et al. (2021) used the impact of event scale-6 (IES-6) to measure stress. Across the five studies, the percentage of college students who reported experiencing increased levels of stress due to the COVID-19 pandemic ranged from 24.7% to 71%.

PTSD

Only three studies, Chi et al. (2020), Sun et al. (2021), and Liang et al. (2020), assessed PTSD levels among college students. The Chi et al. (2020) study used the abbreviated PTSD Checklist (PCL) and found that 30.8% of its participants had clinically relevant PTSD, while the Sun et al. (2021) study used the Impact of Events Scale (IES) and found that 67.05% of its participants reported traumatic stress symptoms. The Liang et al. (2020) study was described above in the child and adolescent studies section.

Sociodemographic Characteristics and Other Factors

In the Sun et al. (2021) study, researchers found that family financial stress due to COVID-19 consistently predicted psychiatric symptoms. In the Ojewale (2020) study, there was a higher prevalence of anxiety and depression among college students who are unable to afford three meals per day, which highlights a similar financial burden due to COVID-19 as the Sun et al. (2021) study. Furthermore, in the Cao et al. (2020) study, it was found that low family income, having relatives or friends infected with COVID-19, and living in rural areas were risk factors for increased levels of anxiety among college students and overall worse mental well-being.

The last study, which did not fit in one of the main themes above, was the Moghe et al. (2020) study. This was a cross-sectional study in India and it found that over 75% of its sample felt fatigued and over 80% of individuals felt sad and empty due to the COVID-19 pandemic.

Discussion

Our systematic review of five studies on children and 16 studies on college students found evidence highlighting the adverse mental impact of the COVID-19 pandemic. Children and college students reported feeling more anxious, depressed, fatigued, and distressed than prior to the pandemic. Additionally, several risk factors such as living in rural areas, low family socioeconomic status, being a family member or friend to a healthcare worker, and knowing someone who was infected with COVID-19 were strongly associated with worse mental health outcomes. Understanding the mental health effects of the COVID-19 pandemic on children and college students is important for policymakers and university administrators to create timely, effective, and country-specific interventions that will improve children’s and college students’ mental well-being and prevent more psychological illnesses from developing. Identifying effective solutions and interventions to address and support the mental health needs of adolescents and college students must be prioritized as children and students begin to fully transition to in-person learning.

All studies consistently identified a clear relationship between adolescents’ and young adults’, particularly college students, mental health status and the onset of the COVID-19 pandemic. This association may be explained by the international lockdown measures (e.g., school closures, non-essential business shutdowns, and enforced social distancing measures) that were implemented to reduce the spread of the virus, which led to an increase in social isolation amongst the general public [34]. With respect to mental health, solitude and prolonged state of physical isolation have been linked to increases in depression, anxiety, and suicidal ideation [35, 36]. According to the United Nations Educational, Scientific, and Cultural Organization, 138 countries had implemented national school closures due to COVID-19 by May 2020, which impacted more than one billion children and young adults—approximately 80% of the global student population [37]. With these measures in place, one-third of adolescents reported high levels of loneliness and almost half of young adults reported being lonely while quarantining [38–40]. Global school closures forced K-12 and college students to adapt to online learning, but also separated students from having in-person interactions with teachers, classmates, and friends.

While social distancing measures are vital for containing the spread of COVID-19 and is necessary to ease the burden on health systems, policymakers and university administrators must work with public health experts to identify psychological services and initiatives to provide mental health support to adolescents and college students. One intervention recently studied that may be used in pre-school settings is the early childhood mental health consultation (ECMHC), which has been found to significantly lower ratings of hyperactivity, restlessness, externalizing behaviors, and problem behaviors among children under 6 years old [41–44]. ECMHC is a preventative intervention that places mental health consultants in early childcare settings and pairs these consultants with families to address a child’s individual needs and increase their social and emotional health [42, 45, 46]. These mental health consultants also provide information, training, and resources to all families to help prevent and reduce the impact of mental health problems on a child [42, 45, 46]. ECMHC has also been found to have significant positive impacts on prosocial behaviors in the bystander children who were not the focus of the intervention [47]. In a pandemic where there are far more children in need of mental health support than we have capacity to serve individually, it is important to invest in mental health programs that can have positive effects across a larger population. Studies have shown that ECMHC is effective and being used across child care centers, Head Start/Early Head Start centers, home visiting programs, primary care settings, elementary schools (kindergarten through third grade), and community outreach programs [41, 45, 46, 48]. Healthcare providers should also expand their clinical services and offer preventive support and early intervention to be prepared for the rise in mental health issues.

However, simply implementing general support programs may not be sufficient. Our review found that college students who live in rural areas were more susceptible to having greater levels of anxiety and depression during the COVID-19 pandemic in comparison to those who live in urban areas. This is not surprising as rural areas, as opposed to urban areas, often have limited mental health services, lacking access to adequate healthcare, being economically and educationally under-resourced, and usually consisting of elder populations with worse health outcomes—making those living in these communities even more vulnerable to COVID-19 [49–51]. In the U.S., specifically, rural areas are becoming more racially and ethnically diverse, with more Black/African American, Latinx, and Native American populations—groups who are at increased risk of contracting COVID-19 and having severe illness due to inequities in social determinants of health—migrating to rural communities [51, 52]. Because urban areas are more densely populated, which raises concerns during an infectious disease outbreak, the public health community and policymakers may be investing more of its COVID-19 resources and informational messaging towards large cities. As a result, rural areas may have been and continue to be neglected. This may be the reason why college students living in small towns and villages are reporting worse mental health outcomes than those living in large cities. Public health officials and education policymakers must consider these factors to provide geographically- and culturally-relevant mental health support for college students living in rural areas.

Furthermore, several studies in our review identified low-socioeconomic status as a risk factor for greater negative psychological effects during the COVID-19 pandemic. The relationship between income status and mental health has been well-documented as there are higher rates of mental illness in groups with lower socioeconomic status [53–55]. When COVID-19 social distancing measures were imposed, many businesses were forced to shut down—leaving many adults unemployed for several months [56]. As a result, college students who worked several jobs to pay for tuition and/or housing were also laid off—adding economic pressure during an already overwhelming time. Children and adolescents, on the other hand, whose family income status is low, had to rely on the scarce academic and technological resources that exist in their households as they transitioned to virtual learning. Schools that are closed for a long period of time can have significant health consequences for children living in poverty. This will exacerbate food insecurity as many low-income students rely on school meals. Studies show that food insecurity is associated with low educational performance, while school lunch is associated with high educational attainment [57, 58]. This highlights an important global health concern as children are not only experiencing worse mental health outcomes, but their physical health is also being negatively impacted.

Our systematic review also found that being a family member or friend to a healthcare worker and knowing someone who was infected with COVID-19 were strongly associated with worse mental health outcomes, particularly anxiety. Because healthcare workers are on the frontlines in combatting COVID-19 as they treat patients on a frequent basis, children and young adults who are in close contact with these healthcare professionals may be even more worried about contracting the virus, given their level of direct contact. Mental health services should consider the need of family members and friends of health care workers. This effective communication strategy can also be applied to those who reported feeling more anxious because they know someone who was infected with COVID-19. Additionally, although the COVID-19 pandemic has resulted in a widespread forced adoption of telehealth services to deliver psychiatric and mental health support [59–61], healthcare providers should identify ways to cater more healthcare workers, those infected by COVID-19, and the families of these groups through employer benefits and insurance companies. Moreover, this identifies the need for more research to investigate ways to improve preparedness for rapid virtualization of psychiatric counseling and tele-psychiatry.

Based on our systematic review, we identified several gaps in the literature that should be addressed with additional research on child and college student mental health during the COVID-19 pandemic. First, there is a need for interventional studies, as all of the studies we found were non-interventional, to evaluate direct impacts of mental health treatment or preventive measures on mental illnesses. Second, more studies should be nationally or regionally representative so that their results can be applied to the broader populations. Third, because there are plenty of cross-sectional studies, researchers should consider conducting more longitudinal cohort studies to identify potential changes in mental health outcomes over time. Fourth, researchers must also factor in pre-existing mental disorders among their sample populations to fully and more accurately assess participants’ mental health. Lastly, there is a need to investigate more mental health variables, beyond the common ones such as depression, anxiety, stress, and PTSD, and instead, also assess child and college student suicide ideation, insomnia, coping, and quality of life.

Strengths and Limitations

As potential limitations, our review did not include studies in low- and low-middle income countries and most studies were conducted in China. In addition, because most of the studies were cross-sectional, associations cannot be inferred. There were also more college student studies identified than children-related studies. Furthermore, three of the 16 college student studies were not peer-reviewed. However, even if we did exclude these non-peer reviewed studies from our systematic review, our overall findings would remain the same. Some strengths of our review are it answers a more expansive question (as opposed to other similar reviews [62–65]), it is focused on COVID-19, and covers a large date range, which makes our review one of the first systematic reviews to have these qualities.

Conclusion

Overall, our systematic review identified a relationship between the COVID-19 pandemic and adverse mental health problems in children and college students. Additionally, individuals who lived in rural areas, low-income populations, being a family member or friend to a healthcare worker, and knowing someone who was infected with COVID-19 were all associated with worse mental health outcomes. As universities and researchers discuss future strategies on how to combine on-site teaching with online courses, our results indicate the importance of considering social contacts for students’ mental well-being and offer starting points to identify and support students at higher risk of social isolation and negative psychological effects. Given the mental health impact of the COVID-19 pandemic, there needs to be urgent interventions, through telehealth, to address the rise in mental health illnesses among children and young adults. However, in the long-run, it is vital for policymakers to prepare for future pandemics by having mechanisms and safety-nets for mental health preventive measures.

Summary

In summary, our systematic review of five studies on children and 16 studies on college students found that children and college students reported feeling more anxious, depressed, fatigued, and distressed than prior to the pandemic. Several risk factors such as living in rural areas, low family socioeconomic status, and being a family member or friend to a healthcare worker were strongly associated with worse mental health outcomes. As schools and researchers discuss future strategies on how to combine on-site teaching with online courses, our results indicate that understanding the mental health effects of the COVID-19 pandemic on children and college students is important to create timely, effective, and country-specific interventions that will improve children’s and college students’ mental well-being.

Funding

All phases of this study were supported by the Yale Institute for Global Health.

Declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Jad A. Elharake and Faris Akbar are joint first authors

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