OBJECTIVES

Describe the impact of the coronavirus disease 2019 (COVID-19) pandemic on pediatric primary care visits for 7 mental health categories before and during the COVID-19 pandemic.

METHODS

This interrupted time series analysis compared the rate of mental health visits to pediatric primary care providers in Massachusetts before and during the COVID-19 pandemic. Three time periods were defined: prepandemic period (January 2019–February 2020), emergency pandemic period (March 2020–May 2020), and pandemic period (June 2020–September 2021). The 7 mental health visit diagnoses included alcohol and substance use disorders, anxiety disorders, attention-deficit hyperactivity disorders, behavior disorders, eating disorders, mood disorders (depressive and bipolar), and stress or trauma disorders.

RESULTS

Significant increases in slope (P < .001) were observed for eating disorder visits, with the annualized visit rate increasing from 9.3 visits per 1000 patients per year in the prepandemic period to 18.3 in the pandemic period. For mood disorder visits, the annualized visit rate increased from 65.3 in the prepandemic period to 94.0 in the pandemic period. Significant decreases in level and slope (both P < .001) were observed for alcohol and substance use disorder visits, with the annualized visit rate decreasing from 5.8 in the prepandemic period to 5.5 in the pandemic period.

CONCLUSIONS

Eating disorder visits and mood disorder visits significantly increased, whereas alcohol and substance use disorder visits significantly decreased during the pandemic period among pediatric patients, highlighting the need to identify and manage mental health conditions in the pediatric primary care setting.

What’s Known on This Subject:

Research on the impact of the coronavirus disease 2019 pandemic on adults has shown increased stress, anxiety, and depression; however, research on the impact to pediatric populations is limited and has been presented with conflicting results.

What This Study Adds:

This study addresses the calls for longitudinal analyses examining trends throughout the coronavirus disease 2019 pandemic. Striking increases were observed in visits for eating disorders and mood disorders, although visits for alcohol and substance use disorders declined during the pandemic.

The coronavirus disease 2019 (COVID-19) pandemic introduced dramatic changes into the lives of families, disrupting parent’s work habits, children’s school attendance, and family travel, and profoundly altering social interactions. Early research has started to describe the self-reported mental health impacts of such pandemic-related effects on adults, including increased stress, anxiety, and depression.1  Research on the impact of pandemic-related effects on the mental health of children and adolescents is also beginning to emerge26 ; however, analyses evaluating the longitudinal psychological impact are lacking.7,8  Further, the small number of studies that have described psychological changes before and during the COVID-19 pandemic have been characterized as conflicting9  for youth with eating disorder symptoms1012  and varying considerably8  for youth with anxiety and depression symptoms.13,14 

One useful window into the effects of the pandemic on pediatric mental health may come from examining patterns of identification and management of mental health problems in the primary care setting, currently an overlooked data source, with many studies instead focusing on emergency department and hospitalization data. The main aim of our study is to examine the impact of the COVID-19 pandemic on pediatric mental health, specifically comparing primary care visit frequency for 7 mental health conditions before and during the pandemic. The results of our study directly contribute both longitudinal and primary care data to the growing literature describing the changes to pediatric mental health during the COVID-19 pandemic.

The Pediatric Physicians’ Organization at Children’s (PPOC) is an independent practice association affiliated with Boston Children’s Hospital. The PPOC is comprised of over 500 pediatric primary care physicians, nurse practitioners, and physician assistants in 77 primary care practices across Massachusetts. We analyzed electronic health record data to understand the impact of the COVID-19 pandemic on visit frequency for pediatric mental health conditions. This project was reviewed by the Boston Children’s Hospital Committee on Clinical Investigation and deemed exempt from the requirement for individual informed consent.

The population for this study includes over 310 000 patients from all 73 PPOC practices that were continuously in the network throughout the study period (11 other practices either joined or left the network during the study period and thus were excluded from the analysis). The study practices consist of 499 primary care providers (69% physicians and 31% nurse practitioners or physician assistants); the majority of practices have 3 or more primary care providers (72%) and are located in suburban towns (63%).15  As compared with the pediatric population of Massachusetts, patients seeking care at these practices were more likely to be commercially insured (71% vs 64%), equally likely to be male (both 51%), and less likely to be white (55% vs 63%), or Hispanic (9% vs 19%)16,17  (Table 1).

TABLE 1

Sociodemographic Characteristics of the Study Population Practices, Providers, and Patients

Sociodemographic Characteristics
Number of practices 73 
Practice location, n (%)  
 Urban 27 (37) 
 Suburban 46 (63) 
Practice size, n (%)  
 1–2 providers 20 (27) 
 3–7 providers 28 (38) 
 ≥8 providers 25 (34) 
Number of providers 499 
Age in years, median (interquartile range) 50 (42–60) 
Provider type, n (%)  
 MD or DO 346 (69) 
 NP or PA 153 (31) 
Sex, n (%)  
 Female 391 (78) 
 Male 108 (22) 
Number of patients 313 656 
Age in years, median (interquartile range) 12 (9–16) 
Insurance status, n (%)  
 Commercially insured 221 283 (71) 
 Publicly insured 92 373 (29) 
Race and ethnicity, n (%)  
 White, non-Hispanic 171 921 (55) 
 Multiple or other race, non-Hispanic 61 924 (20) 
 Hispanic 29 364 (9) 
 Asian, non-Hispanic 14 603 (5) 
 Black, non-Hispanic 10 867 (3) 
 Unknown 24 977 (8) 
Sex, n (%)  
 Female 153 489 (49) 
 Male 160 167 (51) 
Sociodemographic Characteristics
Number of practices 73 
Practice location, n (%)  
 Urban 27 (37) 
 Suburban 46 (63) 
Practice size, n (%)  
 1–2 providers 20 (27) 
 3–7 providers 28 (38) 
 ≥8 providers 25 (34) 
Number of providers 499 
Age in years, median (interquartile range) 50 (42–60) 
Provider type, n (%)  
 MD or DO 346 (69) 
 NP or PA 153 (31) 
Sex, n (%)  
 Female 391 (78) 
 Male 108 (22) 
Number of patients 313 656 
Age in years, median (interquartile range) 12 (9–16) 
Insurance status, n (%)  
 Commercially insured 221 283 (71) 
 Publicly insured 92 373 (29) 
Race and ethnicity, n (%)  
 White, non-Hispanic 171 921 (55) 
 Multiple or other race, non-Hispanic 61 924 (20) 
 Hispanic 29 364 (9) 
 Asian, non-Hispanic 14 603 (5) 
 Black, non-Hispanic 10 867 (3) 
 Unknown 24 977 (8) 
Sex, n (%)  
 Female 153 489 (49) 
 Male 160 167 (51) 

DO, doctor of osteopathy; MD, doctor of medicine; NP, nurse practitioner; PA, physician assistant.

Patients included in this sample were limited to ages 5 to 17 years (as calculated at each monthly time point). The analysis included visits, conducted in-person or via telehealth, with a physician, nurse practitioner, or physician assistant between January 1, 2019 and September 30, 2021 where any mental health visit diagnosis was assigned by the provider using the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM). Seven mental health diagnosis categories were defined: alcohol and substance use disorders (F10.×−F19.×); anxiety disorders (F40.×−F42.×); attention-deficit hyperactivity disorders (ADHD) (F90.×); behavior disorders (F63.×, F91.×,); eating disorders (F50.×); mood disorders (depressive and bipolar disorders) (F30.×−34.×, F39.×); and stress or trauma disorders (F43.×). As every billable encounter in our network is required to have an associated ICD-10 code, there were no encounters with missing data.

We conducted an interrupted time series analysis examining the impact of the COVID-19 pandemic on visit frequency for each of the 7 mental health categories.18  To compare data before and during the pandemic, we defined 3 time periods: the prepandemic period from January 2019 through February 2020; the emergency pandemic period from March 2020 through May 2020 (state of emergency declared, business closures, and stay-at-home advisory); and the pandemic period from June 2020 through September 2021. Monthly in-network visitation rates were annualized for each diagnostic category and analyzed for changes in level and slope from the prepandemic to pandemic period. Autocorrelation among data points was assessed using the Durbin-Watson statistic; when significant autocorrelation was found, autoregressive parameters were included in the model. All data were analyzed using SAS statistical software, version 9.4 (SAS Institute, Cary, North Carolina).

Data from the immediate emergency pandemic period (March–May 2020) were excluded from the analysis as it is common practice in ITS analyses to exclude periods of time with unstable, temporary changes.18  Medical visit frequency during this time period was down across all conditions, likely because of the stay-at-home advisory and fears of contracting COVID-19 from a healthcare setting; it was not until the summer that we saw in-person visits start to normalize.

As compared with visit frequency in the prepandemic period, visit frequency in the pandemic period differed for 3 of the 7 mental health visit categories (Table 2 and Fig 1). Significant decreases in both level and slope (both P < .001) were observed for alcohol and substance use disorder visits, where the annualized visit rate decreased from an average of 5.8 visits per 1000 patients per year in the prepandemic period to 5.5 in the pandemic period. A significant increase in slope (P < .001) was observed for eating disorder visits, with the visit rate increasing from an average of 9.3 visits per 1000 patients a year to 18.3. A significant increase in slope (P < .001) was also observed for mood disorder visits, where the visit rate increased from 65.3 visits per 1000 patients per year to 94.0. No significant changes were observed for anxiety disorder visits or for stress or trauma disorder visits between the prepandemic and pandemic periods; however, an increasing secular trend, which started before the pandemic, was observed over time in both visit categories. For anxiety, the average visit rate of 156.1 visits per 1000 patients per year in the prepandemic period increased to 210 in the pandemic period, and for stress or trauma, the average visit rate of 28.2 visits per 1000 patients per year in the prepandemic period increased to 39.3 in the pandemic period for stress or trauma. No significant changes were observed for ADHD visits, with an average visit rate of 211.1 visits per 1000 patients per year in the prepandemic period and 216.5 in the pandemic period. There was also no significant change in behavior disorder visits; the visit rate remained effectively unchanged from 10.1 visits per 1000 patients per year in the prepandemic period to 10.0 in the pandemic period.

FIGURE 1

Monthly rates of 7 pediatric mental health visit diagnoses, January 2019 to September 2021. Text bolded in red indicates a significant result. The white background represents the prepandemic period, the dark gray background represents the emergency pandemic period, and the light gray background represents the pandemic period. Δ, change.

FIGURE 1

Monthly rates of 7 pediatric mental health visit diagnoses, January 2019 to September 2021. Text bolded in red indicates a significant result. The white background represents the prepandemic period, the dark gray background represents the emergency pandemic period, and the light gray background represents the pandemic period. Δ, change.

Close modal
TABLE 2

Rates of Pediatric Mental Health Visit Diagnoses in the Prepandemic and Pandemic Periods, with an Interrupted Time Series Analysis of Level and Slope Changes

DiagnosisPrepandemic PeriodPandemic PeriodITS Analysis
Mean Visit Rate per 1000 Patients per YearSlopeMean Visit Rate per 1000 Patients per YearSlopeLevel Δ PSlope Δ P
Alcohol and substance use disorders 5.8 0.26 5.5 0.05 <.001 <.001 
Anxiety disorders 156.1 2.54 210.0 2.43 .85 .89 
Attention-deficit hyperactivity disorders 211.1 1.63 216.5 0.56 .41 .56 
Behavior disorders 10.1 0.05 10.0 −0.11 .69 .11 
Eating disorders 9.3 0.09 18.3 0.88 .76 <.001 
Mood disorders 65.3 0.75 94.0 2.41 .86 <.001 
Stress or trauma disorders 28.2 0.44 39.3 0.57 .61 .25 
DiagnosisPrepandemic PeriodPandemic PeriodITS Analysis
Mean Visit Rate per 1000 Patients per YearSlopeMean Visit Rate per 1000 Patients per YearSlopeLevel Δ PSlope Δ P
Alcohol and substance use disorders 5.8 0.26 5.5 0.05 <.001 <.001 
Anxiety disorders 156.1 2.54 210.0 2.43 .85 .89 
Attention-deficit hyperactivity disorders 211.1 1.63 216.5 0.56 .41 .56 
Behavior disorders 10.1 0.05 10.0 −0.11 .69 .11 
Eating disorders 9.3 0.09 18.3 0.88 .76 <.001 
Mood disorders 65.3 0.75 94.0 2.41 .86 <.001 
Stress or trauma disorders 28.2 0.44 39.3 0.57 .61 .25 

ITS, interrupted time series; Δ, change.

Our findings describe the associations between the COVID-19 pandemic and mental health visit frequency for children and adolescents to pediatric primary care providers across Massachusetts. Visit frequency changes during the study period varied markedly by mental health disorder. Notably, the prepandemic baseline visit frequencies for anxiety disorders, alcohol and substance use disorders, and stress or trauma disorders were not stable and, for all conditions, were rising before the pandemic.

The most dramatic change in visit patterns occurred for eating disorders. In the year before the pandemic, the annualized rate for eating disorders was quite steady at ∼9 visits per 1000 patients per year, but began to rise precipitously during the pandemic period, essentially doubling in annualized frequency. These findings concur with other recent studies showing an increase in adolescent hospital care for eating disorders,19,20  as well as a survey study where mostly adult respondents attributed the exacerbation to triggering environments (specifically COVID-19 stockpiling of high-risk foods with resultant weight gain), lack of social supports, and lack of structure.21  A meta-analysis on eating disorders among adults during COVID-19 also found studies ascribing the increase to a lack of access to care, reduced ability to exercise, and excessive exposure to triggering messages in social media.9  Another potential explanation, especially for a pediatric population, is that greater time spent at home with parents and caregivers could have led to greater detection of disordered eating patterns that might have otherwise remained hidden.

A similar pattern of change to that of eating disorders was also observed among mood disorders with a fairly level baseline before the pandemic and a nearly 50% increase in visits for such conditions during the pandemic period. This finding concurs with multiple studies among youth showing increased depression during COVID-19 presumably because of social isolation and a disruption to daily activities, as well as studies showing an increase in psychological distress for adults with bipolar disorder.2225 

We detected a significant change in the opposite direction for alcohol and substance use disorder visits, where the average visit rate significantly decreased during the pandemic period. We hypothesize that because of emergency pandemic measures, the pediatric and adolescent population may have lost access to substances because of a decrease in peer social interactions. It is also possible that, beyond access to substances, pediatric use of alcohol and substances was reduced because of an increase in time at home with supervision and interaction with parents and caregivers; indeed, a recent study among college students found lower alcohol use with perceived social support.26  Alternatively, since this was the only category of visits where we detected a significant decrease, it is possible that the prevalence of substance use itself did not actually decrease but the detection and diagnosis by primary care clinicians did. Interestingly, our finding of a decrease in substance use diagnoses among children and adolescents is contrary to findings in adults. Studies have reported significant increases in alcohol and drug use during COVID-19, highlighting possible differences in coping mechanisms for adults versus youth and the potential protective family factors for youth throughout the pandemic.27 

Potential inverse explanations can be offered for alcohol and substance use disorders and eating disorders: although both conditions are associated with disordered consumption, home time and a restrictive environment may have been protecting against alcohol and substance use disorders while exacerbating eating disorders or, at least, the detection of them by observing caregivers. Additional research is needed to confirm these inverse relationships and more broadly disentangle the intricacies of each disorder in this unique circumstance, specifically the exacerbating versus protective factors.

Our analysis did not indicate the same significant increases in anxiety disorder visits and stress or trauma disorder visits throughout the pandemic period that have been reported in other studies.8,28  However, many of these studies present cross-sectional data collected at the onset of the pandemic and/or soon after specific events, such as a return to school, whereas our analysis includes longitudinal data reflecting 16 months of the pandemic period. Many other studies also rely on visit data from other sources, such as emergency departments and hospitals. Primary care presentations likely represent the milder (eg, less detectable) end of the spectrum of mental health problems, whereas hospitalizations and emergency department visits likely represent the more severe end. Moreover, the primary behavioral health screening tool used by our medical clinicians is the Pediatric Symptom Checklist,29  which is geared more toward identifying behavior and attention problems and depression, as opposed to anxiety.

As mentioned, these data highlight the prepandemic trend toward increasing visits for anxiety disorder and stress or trauma disorder with a continued increase at essentially the same rate throughout the pandemic. We hypothesize, based on our clinical experience, that the pandemic has had varying effects depending on the type of anxiety suffered by different youth. For some, missing school and social interactions has increased anxiety-related symptoms (eg, “fear of missing out”), whereas for others who suffer primarily from social anxiety, virtual schooling and the cessation of social activities during the pandemic may have actually relieved some of their symptoms.30  It appears in sum that these competing factors may have balanced one another out.

There were no significant changes in ADHD and behavior disorder visit frequencies between the prepandemic and pandemic periods. A recent study showed that adolescents with ADHD had less perceived stress surrounding COVID-19 than peers without ADHD and that the use of routines and an increase in coping behaviors were protective factors for adolescents with ADHD throughout 2020.31  Similarly to patients with anxiety, some patients with ADHD may have also experienced the protective benefits of virtual schooling with more time at home and less time at school, which may have included negative social experiences.32  Alternatively, ADHD and behavior problems may have been underreported, as these disorders are often most problematic (and typically first detected) in the in-person school setting.

Our findings highlight the complex relationship between the COVID-19 pandemic and the mental health of children and adolescents. In addition to the direct impact of the pandemic, such as the closing of schools and isolation from peers, confounding factors that potentially contribute to the complexity of the relationship include vulnerabilities, such as low household income, racial injustice, and, perhaps most importantly, the quality of relationships at home. Indeed, high quality familial relationships have been shown to foster resilience and support children’s ability to cope with disasters.33  However, many parents and caregivers, especially those deemed “essential workers,” were required to report to work throughout the pandemic and thus unable to stay home with their children, placing their children at heightened risk for adverse sequelae.

The results of this study underscore the importance of the primary care medical home as the first point of contact for children and adolescents suffering from mental health conditions, whether in the context of the current pandemic or otherwise.25  Therefore, appropriate investment in building competence among primary care clinicians to identify and manage mental health conditions in children and adolescents would seem to be important.34  Steps in this direction may include policy changes to elevate the minimum educational standards for medical students and residents in the recognition and management of mental health conditions and enhance professional development opportunities for currently-practicing primary care clinicians. Additionally, policy changes and financial investment are needed to expand mental health treatment options beyond the primary care setting for more severe cases of these disorders,35  perhaps through more robust recruitment of mental health providers, tuition forgiveness programs, and/or investment in mental health facilities that can provide more intensive services to children and adolescents in need.

Our analysis has certain limitations: first, these data represent primary care visits within privately owned pediatric practices in Massachusetts, and our findings may not be generalizable to children and adolescents cared for in other settings or geographic regions. Second, mental health diagnoses were coded by medical providers using the ICD-10-CM, which may not directly align with other diagnostic systems, including the Diagnostic and Statistical Manual of Mental Disorders primarily used by mental health providers. Third, our network includes a robust integrated behavioral health program that has been in place for several years36,37 ; it is possible that the visit patterns we observed would be different in settings without similar services in place. Finally, our network first launched telehealth virtual visits at the start of the emergency pandemic period (March 2020)—how the availability of virtual visits would have affected mental health encounters absent the pandemic is unknown; however, studies have generally shown that the introduction of telehealth visits has resulted in comparable or modestly increased frequency of visits.3840  Notably, a fundamental strength of our study includes the use of longitudinal data, which addresses one of the main limitations of many other studies.

The COVID-19 pandemic has resulted in significant changes in the pattern of visits to primary care offices for mental health conditions in children and adolescents: most notably, striking increases in visits for eating disorders and mood disorders. Conversely, visits for alcohol and substance use disorders declined during the pandemic period. Additional research analyzing longitudinal data are needed to further understand the long-term impact of COVID-19 on youth mental health.

Ms Gould and Dr Vernacchio conceptualized and designed the study and drafted the initial manuscript; Ms Correa conceptualized and designed the study and performed the analysis; Drs Walter, Bromberg, and Hatoun conceptualized and designed the study; and all authors reviewed and revised the manuscript, approved the final manuscript as submitted, and agree to be accountable for all aspects of the work.

FUNDING: No external funding.

CONFLICT OF INTEREST DISCLOSURES: The authors have indicated they have no conflicts of interest relevant to this article to disclose.

COVID-19

coronavirus disease 2019

1
Brooks
SK
,
Webster
RK
,
Smith
LE
, et al
.
The psychological impact of quarantine and how to reduce it: rapid review of the evidence
.
Lancet
.
2020
;
395
(
10227
):
912
920
2
Zhou
SJ
,
Zhang
LG
,
Wang
LL
, et al
.
Prevalence and socio-demographic correlates of psychological health problems in Chinese adolescents during the outbreak of COVID-19
.
Eur Child Adolesc Psychiatry
.
2020
;
29
(
6
):
749
758
3
Liang
L
,
Ren
H
,
Cao
R
, et al
.
The effect of COVID-19 on youth mental health
.
Psychiatr Q
.
2020
;
91
(
3
):
841
852
4
Qin
Z
,
Shi
L
,
Xue
Y
, et al
.
Prevalence and risk factors associated with self-reported psychological distress among children and adolescents during the COVID-19 pandemic in China
.
JAMA Netw Open
.
2021
;
4
(
1
):
e2035487
5
Loades
ME
,
Chatburn
E
,
Higson-Sweeney
N
, et al
.
Rapid systematic review: the impact of social isolation and loneliness on the mental health of children and adolescents in the context of COVID-19
.
J Am Acad Child Adolesc Psychiatry
.
2020
;
59
(
11
):
1218
1239.e3
6
Golberstein
E
,
Wen
H
,
Miller
BF
.
Coronavirus disease 2019 (COVID-19) and mental health for children and adolescents
.
JAMA Pediatr
.
2020
;
174
(
9
):
819
820
7
Prati
G
,
Mancini
AD
.
The psychological impact of COVID-19 pandemic lockdowns: a review and meta-analysis of longitudinal studies and natural experiments
.
Psychol Med
.
2021
;
51
(
2
):
201
211
8
Racine
N
,
McArthur
BA
,
Cooke
JE
,
Eirich
R
,
Zhu
J
,
Madigan
S
.
Global pdrevalence of depressive and anxiety symptoms in children and adolescents during COVID-19: a meta-analysis
.
JAMA Pediatr
.
2021
;
175
(
11
):
1142
1150
9
Sideli
L
,
Lo Coco
G
,
Bonfanti
RC
, et al
.
Effects of COVID-19 lockdown on eating disorders and obesity: a systematic review and meta-analysis
.
Eur Eat Disord Rev
.
2021
;
29
(
6
):
826
841
10
Pellegrini
M
,
Ponzo
V
,
Rosato
R
, et al
.
Changes in weight and nutritional habits in adults with obesity during the “lockdown” period caused by the COVID-19 virus emergency
.
Nutrients
.
2020
;
12
(
7
):
2016
11
Fernández-Aranda
F
,
Munguía
L
, %
Mestre-Bach
G
, et al
.
COVID Isolation Eating Scale (CIES): Analysis of the impact of confinement in eating disorders and obesity-a collaborative international study
.
Eur Eat Disord Rev
.
2020
;
28
(
6
):
871
883
12
Abawi
O
,
Welling
MS
,
van den Eynde
E
, et al
.
COVID-19 related anxiety in children and adolescents with severe obesity: a mixed-methods study
.
Clin Obes
.
2020
;
10
(
6
):
e12412
13
Yue
J
,
Zang
X
,
Le
Y
,
An
Y
.
Anxiety, depression and PTSD among children and their parent during 2019 novel coronavirus disease (COVID-19) outbreak in China
.
Curr Psychol
.
2020
;
41
(
8
):
5723
5730
14
Giannopoulou
I
,
Efstathiou
V
, %
Triantafyllou
G
,
Korkoliakou
P
,
Douzenis
A
.
Adding stress to the stressed: senior high school students’ mental health amidst the COVID-19 nationwide lockdown in Greece
.
Psychiatry Res
.
2021
;
295
:
113560
15
Massachusetts Metropolitan Area Planning Council
.
Massachusetts community types
.
16
Kaiser Family Foundation
.
Health insurance coverage of children 0-18 (CPS), 2020
.
17
Centers for Disease Control and Prevention (CDC) WONDER database
.
Bridged-race population estimates 2020 results
.
Available at http://wonder.cdc.gov/bridged-race-v2020.html. Accessed May 31, 2022
18
Penfold
RB
,
Zhang
F
.
Use of interrupted time series analysis in evaluating health care quality improvements
.
Acad Pediatr
.
2013
;
13
(
6 Suppl
):
S38
S44
19
Lin
JA
,
Hartman-Munick
SM
,
Kells
MR
, et al
.
The impact of the COVID-19 pandemic on the number of adolescents/young adults seeking eating disorder-related care
.
J Adolesc Health
.
2021
;
69
(
4
):
660
663
20
Otto
AK
,
Jary
JM
,
Sturza
J
, et al
.
Medical admissions among adolescents with eating disorders during the COVID-19 pandemic
.
Pediatrics
.
2021
;
148
(
4
):
e2021052201
21
Termorshuizen
JD
,
Watson
HJ
,
Thornton
LM
, et al
.
Early impact of COVID-19 on individuals with self-reported eating disorders: a survey of ∼1,000 individuals in the United States and the Netherlands
.
Int J Eat Disord
.
2020
;
53
(
11
):
1780
1790
22
Mayne
SL
,
Hannan
C
,
Davis
M
, et al
.
COVID-19 and adolescent depression and suicide risk screening outcomes
.
Pediatrics
.
2021
;
148
(
3
):
e2021051507
23
Marques de Miranda
D
,
da Silva Athanasio
B
,
Sena Oliveira
AC
, %
Simoes-E-Silva
AC
.
How is COVID-19 pandemic impacting mental health of children and adolescents?
Int J Disaster Risk Reduct
.
2020
;
51
:
101845
24
Xie
X
,
Xue
Q
,
Zhou
Y
, et al
.
Mental health status among children in home confinement during the coronavirus disease 2019 outbreak in Hubei Province, China
.
JAMA Pediatr
.
2020
;
174
(
9
):
898
900
25
Dvir
Y
,
Ryan
C
,
Straus
JH
,
Sarvet
B
, %
Ahmed
I
,
Gilstad-Hayden
K
.
Comparison of use of the Massachusetts Child Psychiatry Access Program and patient characteristics before vs during the COVID-19 pandemic
.
JAMA Netw Open
.
2022
;
5
(
2
):
e2146618
26
Lechner
WV
,
Laurene
KR
,
Patel
S
, %
Anderson
M
,
Grega
C
,
Kenne
DR
.
Changes in alcohol use as a function of psychological distress and social support following COVID-19 related university closings
.
Addict Behav
.
2020
;
110
:
106527
27
Taylor
S
,
Paluszek
MM
,
Rachor
GS
,
McKay
D
,
Asmundson
GJG
.
Substance use and abuse, COVID-19-related distress, and disregard for social distancing: a network analysis
.
Addict Behav
.
2021
;
114
:
106754
28
Samji
H
,
Wu
J
,
Ladak
A
, et al
.
Review: mental health impacts of the COVID-19 pandemic on children and youth - a systematic review
.
Child Adolesc Ment Health
.
2022
;
27
(
2
):
173
189
29
Jellinek
MS
,
Murphy
JM
,
Robinson
J
,
Feins
A
,
Lamb
S
,
Fenton
T
.
Pediatric Symptom Checklist: screening school-age children for psychosocial dysfunction
.
J Pediatr
.
1988
;
112
(
2
):
201
209
30
Morrissette
M
.
School closures and social anxiety during the COVID-19 pandemic
.
J Am Acad Child Adolesc Psychiatry
.
2021
;
60
(
1
):
6
7
31
Dvorsky
MR
,
Breaux
R
,
Cusick
CN
, et al
.
Coping with COVID-19: longitudinal impact of the pandemic on adjustment and links with coping for adolescents with and without ADHD
.
Res Child Adolesc Psychopathol
.
2022
;
50
(
5
):
605
619
32
Breaux
R
,
Dvorsky
MR
,
Becker
SP
.
ADHD in COVID-19: risk, resilience, and the rapid transition to telehealth
.
ADHD Rep
.
2021
;
29
:
1
10
33
Prime
H
,
Wade
M
,
Browne
DT
.
Risk and resilience in family well-being during the COVID-19 pandemic
.
Am Psychol
.
2020
;
75
(
5
):
631
643
34
Bartek
N
,
Peck
JL
,
Garzon
D
,
VanCleve
S
.
Addressing the clinical impact of COVID-19 on pediatric mental health
.
J Pediatr Health Care
.
2021
;
35
(
4
):
377
386
35
Beharry
M
.
Pediatric anxiety and depression in the time of COVID-19
.
Pediatr Ann
.
2022
;
51
(
4
):
e154
e160
36
Walter
HJ
,
Vernacchio
L
,
Correa
ET
, et al
.
Five-phase replication of behavioral health integration in pediatric primary care
.
Pediatrics
.
2021
;
148
(
2
):
e2020001073
37
Walter
HJ
,
Vernacchio
L
,
Trudell
EK
, et al
.
Five-year outcomes of vehavioral health integration in pediatric primary care
.
Pediatrics
.
2019
;
144
(
1
):
e20183243
38
Cunningham
NR
,
Ely
SL
,
Barber Garcia
BN
,
Bowden
J
.
Addressing pediatric mental health using telehealth during coronavirus disease-2019 and beyond: a narrative review
.
Acad Pediatr
.
2021
;
21
(
7
):
1108
1117
39
Barney
A
,
Buckelew
S
,
Mesheriakova
V
,
Raymond-Flesch
M
.
The COVID-19 pandemic and rapid implementation of adolescent and young adult telemedicine: challenges and opportunities for innovation
.
J Adolesc Health
.
2020
;
67
(
2
):
164
171
40
Schweiberger
K
,
Hoberman
A
,
Iagnemma
J
, et al
.
Practice-level variation in telemedicine use in a pediatric primary care network during the COVID-19 pandemic: retrospective analysis and survey study
.
J Med Internet Res
.
2020
;
22
(
12
):
e24345