COVID-19-Related Psychological and Psychosocial Distress Among Parents and Youth With Physical Illness: A Longitudinal Study

Despite the initial thrust of research aimed at understanding the impact of the COVID-19 pandemic on youth with physical illness and their parents, knowledge gaps in the literature remain, providing the impetus for additional investigation. This study described changes in psychological distress from prior to during the COVID-19 pandemic for parents and youth with physical illness, compared parent-proxy and youth self-reported perceptions of COVID-19-related psychosocial health, and modeled factors associated with psychological and psychosocial distress. There were 147 parent–youth dyads (2–16 years) from MY LIFE—a longitudinal study of youth with physical illness. The Kessler-6 (K6) measured psychological distress for the time before the COVID-19 lockdown (December 19 to March 20) and during the pandemic (December 20 to March 21) among parents and youth. COVID-19-related psychosocial health was measured using the CRISIS. Parents and youth reported increases in K6 scores (d = 0.62 and 0.38). Parent-proxy reports on the K6 were lower vs. youth self-reports prior to and during the pandemic (d = 0.63 for both). In contrast, parents reported lower proxy CRISIS scores for worries (d = 0.38) and effects of social restrictions (d = 0.52). Pandemic parent K6 scores were associated with age, combined in-person and online schooling for youth, COVID-19-related worries, and effects of social restrictions. For youth, only COVID-19-related worries and effects of social restrictions were associated with K6 scores. Parent worries were associated with youth sex, parental stress, family functioning, online and combination learning, and social restrictions. Parental depression and worries were associated with effects of social restrictions. Youth worries were associated with online and combination learning, and social restrictions. Youth disability, online learning, and worries were associated with effects of social restrictions. Few clinical factors are associated with COVID-19-related psychological and psychosocial distress. Instead, parent/family factors and youth learning environment have prominent roles in predicting outcomes and have implications for the health, education, and social services systems.

Introduction

The COVID-19 pandemic has generated substantial individual and societal burden and has exposed systemic weaknesses across sectors working to address this global crisis. These burdens appear to differentially impact specific segments of the population, including children and youth with chronic physical illnesses (e.g., asthma, diabetes, epilepsy) and their families (1, 2). Evidence is mixed regarding elevated risk for and clinical presentation of COVID-19 for youth with vs. without physical illness (3, 4); however, more definitive are findings that youth with physical illness report they are more concerned about COVID-19 compared with their healthy peers (5, 6). This has sparked calls to action to prioritize the assessment of mental health among youth with physical illness (7) and especially during the COVID-19 pandemic, which has resulted in significant declines in health service use for youth, potentially perpetuating further deterioration of physical, mental, and psychosocial health (8).

Indeed, increased stress and declines in mental health associated with COVID-19 have been reported by parents and youth in the general population (9–11) and among those families who have a child with a physical or mental illness (6, 12–19). For instance, Hawke et al. aggregated general community and clinical samples of youth aged 14–28 years in Canada and found significant declines in mental health from prior to during the COVID-19 (10). This reported decline was large in magnitude (η² = 0.31) and that the deterioration of mental health was more pronounced in the community sample of youth (η² = 0.02). Durcan et al. reported elevated anxiety and depression during the pandemic among a Turkish sample of parents of youth aged 2–18 years with rheumatological conditions compared with parents of healthy youth (d = 0.28 and d = 0.34, respectively) (20). Youth with rheumatological conditions self-reported elevated symptoms of anxiety compared with their peers (d = 0.33). No significant differences in mental health were reported across the different types of rheumatological conditions, consistent with pre-pandemic studies that support non-categorical approaches (21, 22) to understanding the intersection between physical and mental illness in children and youth (23–27). Notably however, studies have showed that clinical factors such as illness duration, severity, or exacerbations during the pandemic have no or minimal association with COVID-19-related mental health among youth with physical illness (16, 20). Few studies have investigated psychosocial health (e.g., quality of life, hopefulness) among youth during the COVID-19 pandemic; available data, however, suggest that COVID-19 has negatively impacted psychosocial health among this population. For instance, a population-based study of youth aged 7–17 years in Germany showed that youth had a significant increase in self-reported low health-related quality of life from prior to during the pandemic (d = 0.73) and that this change in psychosocial health was similar for males and females; however, data on youth with physical illness was not reported (28).

Despite the initial thrust of research aimed at understanding the impact of the COVID-19 pandemic on youth with physical illness and their parents, knowledge gaps in the literature remain, providing the impetus for additional investigation. First, given the relative infancy of the extant literature examining the impact of COVID-19 on the mental health of youth with physical illness, most studies are descriptive in nature (12–14, 19). This initial work was crucial in estimating the burden on these youth and their families and the next step in the research agenda requires analytic studies that model predictors for changes in mental health from prior to during the COVID-19 pandemic. This information is needed for health professionals and policy makers to identify at-risk youth and families and provide the supportive resources to prevent or minimize declines in mental health during the ongoing pandemic. Second, there is a pressing need for studies examining COVID-19-related psychosocial health. Prediction of individual and population outcomes directly related to the countermeasures implemented by governments and public health agencies to curb transmission of COVID-19 (e.g., lockdown ordinances, school closures) can be used to inform public health strategies as we move forward into subsequent waves of the current pandemic and for future global crises that would minimize psychosocial distress. Third, there is a paucity of information with regard to differences in the perception of COVID-19-related psychological distress and psychosocial health between youth with physical illness and their parents. While evidence suggests that agreement between parents and youth with chronic illness on such constructs is modest (29–33), it is unknown if such findings generalize in the context of a pandemic. Understanding parent and youth perspectives is fundamental to tailoring family-centered care—the gold standard for pediatric health care—especially in the context of COVID-19 and the shift of services provision from in-person to virtual formats (34–37).

To address these knowledge gaps, this longitudinal study described changes in psychological distress prior to and during the COVID-19 pandemic in parents and their children with chronic physical illness, compared parent-proxy and youth-reported perceptions of psychological distress and perceptions of COVID-19-related psychosocial health, and modeled factors predictive of psychological distress and psychosocial health among parents and youth.

Materials and Methods

Design and Procedures

Data come from an on-going longitudinal study of a clinical sample of children with a chronic physical illness and their primary caregiving parent—Multimorbidity in Children and Youth Across the Life-course (MY LIFE). The design and cohort are described briefly, as the MY LIFE protocol is freely available (38, 39). Families were recruited from outpatient clinics at a pediatric hospital (Ontario, Canada) and baseline data collected from August 2017 until November 2019. Children were eligible if they were aged 2–16 years, diagnosed by a health professional with a physical illness, and had a parent who could understand English. Nurses introduced the study and invited families to meet with research staff, who further described MY LIFE and obtained permission to contact them at a later time. Research staff scheduled in-person data collection (hospital or home) through structured interviews and self-reported questionnaires, or in rare cases, data were collected using mail packages, in which case structured interviews were conducted by telephone. In March 2020, all data collection from self-reported questionnaires shifted to mail packages on account of the COVID-19 pandemic. Of the 263 families enrolled in MY LIFE, 188 (71.4%) were in active follow-up and eligible for the current COVID-19 sub-study. In total, 161 (85.6%) consented to participate in the sub-study and 147 (78.2%) completed data collection. Parent reports were collected for all children (n = 147) and youth ≥13 years (n = 48) also provided self-reports. For this sub-study, psychological distress and COVID-19-related psychosocial health data were collected between December 2020 and March 2021 via an online survey (Qualtrics). March 2021 was used as a cut-point for data collection as it represented the 1-year anniversary of the COVID-19 pandemic in Canada and coincidentally, the onset of a third wave of COVID-19 infections in the country (40). For measures that asked about pre-pandemic experiences, participants were instructed to report on experiences during the 3 months prior to lockdown ordinances (i.e., December 2019 to March 2020). All participants provided informed consent, and MY LIFE received ethical approval.

Measures

Psychological distress in parents and youth was measured using the Kessler-6 (K6), a generic scale assessing the frequency in which individuals felt nervous, hopeless, restless/fidgety, depressed that nothing could cheer them up, everything was an effort, and worthless (41). Responses used a five-point scale ranging from 0 = “none of the time” to 4 = “all of the time” with total scores having a 24-point range. The K6 has robust psychometric properties in adult and youth populations (42, 43). Internal consistency was α = 0.90 for parent-self report, α = 0.92 for parent-proxy report, and α = 0.96 for youth-self report.

COVID-19-related psychosocial health was measured using the Coronavirus Health Impact Survey (CRISIS) (44). Items on the CRISIS are rated on five-point scale from 1 = “not at all” to 5 = “extremely” and in some instances are recoded such that higher scores on the CRISIS indicate more severe/frequent symptoms or behaviors. COVID-19-related worry was measured using five items that assess worry of infection, influence on physical and mental health, and time spent reading or talking about COVID-19. Internal consistency for the worry subscale was α = 0.83 for parent-self report, α = 0.85 for parent-proxy report, and α = 0.77 for youth-self report. The effect of COVID-19-related social restrictions was measured using eight items that asked about stress of restrictions and impacts on social relationships. Specifically, the questions were as follows: How stressful have the restrictions on leaving home been for you? Have your contacts with people outside of your home changed relative to before the COVID-19 crisis in your area? How much difficulty have you had following the recommendations for keeping away from close contact with people? Has the quality of the relationships between you and members of your family changed? How stressful have these changes in family contacts been for you? Has the quality of the relationships with your friends changed? How stressful have these changes in social contacts been for you? How much has cancellation of important events (such as vacation, parties, weddings, etc.) in your life been difficult for you? Internal consistency for the social restrictions subscale was α = 0.74 for parent-self report, α = 0.69 for parent-proxy report, and α = 0.71 for youth-self report. A single question on the CRISIS asked, “How hopeful are you that the COVID-19 crisis in your area will end soon?” Using the same five-point scale, higher scores on this item indicated more hope. Substance use during the COVID-19 pandemic was measured using five items that assessed frequency of use of alcohol, vaping products, tobacco products, cannabis, and hard drugs (e.g., opiates, heroin, cocaine, etc.). Internal consistency for the substance use subscale was α = 0.75 for parent-self report. Two items examined the extent to which parents perceived that the COVID-19 pandemic created financial problems and concerns about stability of living situation.

Chronic physical illness among youth was categorized according to the International Statistical Classification of Diseases and Related Health Problems (ICD)-10. The categories were rheumatological, respiratory, neurological, hematological, gastroenterological, endocrine, and dermatological. Comorbid mental illness in youth was measured at baseline using the parent-reported Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID). This structured clinical diagnostic interview is aligned with the ICD-10 and Diagnostic and Statistical Manual of Mental Disorders (DSM)-5 and was administered by trained research staff (45). The MINI-KID has been shown to be valid and reliable in clinical and population samples of youth (46, 47). The most common mental illnesses present in childhood and adolescence (major depressive episode, generalized anxiety disorder, separation anxiety disorder, social and specific phobia, attention-deficit/hyperactivity disorder, oppositional defiant, and conduct disorder) were assessed (48).

Youth disability and functioning was measured using the 12-item parent-reported World Health Organization Disability Assessment Schedule (WHODAS) 2.0. It measures disability in the domains of cognition, mobility, self-care, getting along, life activities, and participation (49). Higher scores on the WHODAS 2.0 indicate more impairment across these domains. Its psychometric properties are sound in child and adolescent populations, including those with physical or mental illness (50, 51). Its internal consistency was α = 0.88 in this study sample.

Parent mental health and family environment were measured using parent-reported versions of the Center for Epidemiological Studies Depression Scale (CESD), Parental Stress Scale (PSS), and McMaster Family Assessment Device (FAD). The CESD is a 20-item measure of depressive symptomatology, which includes the domains of positive and negative affect, somatic symptoms, and interpersonal relations (52). Items are scored on a four-point scale (total ranges from 0 to 60), with higher scores indicating greater frequency and severity of depressive symptoms. The CESD is widely validated and its psychometric properties are strong in samples of adults, including parents of children with physical or mental illness (53, 54). The internal consistency was α = 0.92 in this sample. The PSS is an 18-item measure of stress resulting from parenting across the domains of parental rewards and satisfaction, stressors, and lack of control (55). Responses on the PSS are based on a five-point scale and the total score ranges from 18 to 90; higher scores indicate more symptoms of parental stress. It has been validated in parents whose children have physical or mental illness (55, 56) and its internal consistency was α = 0.86 in this sample. The General Functioning subscale of the FAD was used to measure family pathology and functioning (57). This 12-item scale includes the domains of problem solving, communication, behavior control, affective involvement and responsiveness, and roles. Responses are scored on a four-point scale with the total score ranging from 0 to 36. The FAD is coded such that higher scores indicate better family functioning. The FAD has demonstrated robust psychometric properties (57, 58) and its internal consistency in this sample was α = 0.87.

COVID-19 exposure was measured using the CRISIS. Items asked parents about exposure to individuals with a COVID-19 diagnosis within or outside of the family home. Parents were also asked if their children attended school fully in-person, fully online (i.e., remote learning), or a combination of both in-person and online. Sociodemographic factors were also collected and included parent and youth age and sex, parent educational attainment, and annual household income.

Analysis

Paired t tests were used to compare psychological distress prior to and during the COVID-19 pandemic, as well as to estimate differences in parent-proxy and youth-self reports of psychological distress and COVID-19-related worry and social restrictions. COVID-19-related hope was compared using the McNemar test. For all comparisons, effect sizes were computed to estimate magnitudes of association (Cohen's d and Kendall's τ). Agreement between parent and youth reports were estimated using the intra-class correlation coefficient and κ. Multiple linear regression models were computed to examine the demographic, clinical, family, and COVID-19-related factors associated with parent and youth psychological distress and COVID-19-related psychosocial health. These models were based on parent-self and parent-proxy reports. For the psychological distress models, pre-pandemic K6 score was included as predictor; thus, these models represent change in psychological distress from before to during the COVID-19 pandemic. Because only 48 youth provided self-reports, regression models could not be reliably computed. Instead, bivariable correlations were reported for associated factors. All hypothesis tests were two-sided and α = 0.05. Data were analyzed using SPSS 21.

Results

Sample Characteristics

The mean ages of children and parents in this study were 9.3 (4.1) and 40.2 (5.7) years, respectively. While there was an approximately equal distribution of sex among children (52.4% males), the majority of parents were female, specifically the biological mother (89.0%). There were some heterogeneity in the proportion of physical illnesses; the most common were rheumatological conditions (28.6%), respiratory conditions (23.8%), and hematological conditions (17.0%). The least common type of physical illness was neurological (4.1%). One-third (34.0%) of children screened positive for a comorbid mental illness. Parents were typically partnered (married or common-law; 87.7%), completed postsecondary education (78.8%), and reported annual household incomes of ≥$90,000 (58.9%). Additional sample characteristics are shown in Table 1. In total, 29 parents reported an exposure to a COVID-19 diagnosis (19.7%). Five families reported a COVID-19 diagnosis within the household (3.4%). One child in the study had a COVID-19 diagnosis.

TABLE 1

Table 1. Sample characteristics at baseline.

Changes in Psychological Distress

As shown in Table 2, all informants (parent-self, parent-proxy, and youth-self) reported increased symptoms of psychological distress, as measured by the K6, from prior to during the COVID-19 pandemic. The increase was largest for parent-self reports (d = 0.62, p < 0.001), followed by parent-proxy reports on all children (n = 147; d = 0.39, p < 0.001). Among the subset of parent-proxies whose children provided self-reports, a similar-sized increase in K6 scores was found (n = 48; d = 0.30, p = 0.048). Youth self-reported an increase in K6 scores that also corresponded to a medium-sized effect (d = 0.38, p = 0.010).

TABLE 2

Table 2. Changes in psychological distress (K6).

Comparisons Between Parent and Youth Reports

Parent-proxy reports on the K6 were significantly lower compared with youth self-reports prior to (d = 0.63, p = 0.012) and during the COVID-19 pandemic (d = 0.63, p = 0.001). Significant differences in parent-proxy and youth self-reports for COVID-19-related psychosocial health, as measured by the CRISIS were also found (Table 3). However, in contrast to the K6, parent-proxy reports were lower for worry (d = 0.38, p = 0.011) and effect of social restrictions (d = 0.52, p = 0.001). Parent-proxy reports also seemed to overestimate youth perceptions for hope that the COVID-19 pandemic will end soon (τ = 0.33, p = 0.007).

TABLE 3

Table 3. Psychosocial health related to COVID-19 [Coronavirus Health Impact Survey (CRISIS)].

Agreement between parent-proxy and youth self-reports were generally low across all measures. For the K6, the ICC = 0.47 (0.22, 0.67) prior to the COVID-19 pandemic, and ICC = 0.43 (0.17, 0.63) during the pandemic. For the CRISIS, worry was ICC = 0.31 (0.03, 0.54), effect of social restrictions was ICC = 0.46 (0.20, 0.66), and hope was κ = 0.31 (0.12, 0.50).

Factors Associated With Psychological and Psychosocial Distress

In regression models of parent-self and parent-proxy reported psychological distress, no clinical factors were associated with K6 scores during the COVID-19 pandemic (Table 4). For parent-self reports, elevated pre-pandemic psychological distress (b = 0.35), older parent age (b = 0.13), elevated parent depressive symptoms (b = 0.11), and more COVID-19-related worries and effect of social restrictions (b = 0.38 and b = 0.32) were associated with elevated psychological distress during the pandemic. In contrast, having children in combination in-person and online learning was associated with lower psychological distress (b = −2.02). Similar results were found in the parent-proxy model; however, parent depressive symptoms (b = 0.03) and combination learning (b = −0.61) were not significantly associated with youth psychological distress during the pandemic.

TABLE 4

Table 4. Factors associated with parent and youth psychological distress (K6).

Bivariable analyses showed that elevated youth-self reported psychological distress during the COVID-19 pandemic was associated with pre-pandemic psychological distress (r = 0.68), female sex (mean difference 5.3), more COVID-19-related worries (r = 0.52) and effect of social restrictions (r = 0.57), and less hope that the pandemic will end soon (r = −0.44). One clinical factor, illness severity (as measured by the WHODAS 2.0), was found to be associated with psychological distress (r = 0.33). All associations were significant at p < 0.05.

As shown in Table 5, elevated parent COVID-19-related worry was associated with having a male child (b = 1.25), more parental stress (b = 0.12), poorer family functioning (b = −0.11), online and combination learning (b = 1.39 and b = 1.88), elevated pandemic psychological distress (b = 0.40), and COVID-19-related social restrictions (b = 0.13), financial concerns (b = 0.46), and lower substance use (b = −0.19). Effects of COVID-19-related social restrictions were associated with elevated parental depressive symptoms (b = 0.17), pandemic psychological distress (b = 0.52), and COVID-related worry (b = 0.23), and substance use (b = 0.20).

TABLE 5

Table 5. Factors associated with parent and youth COVID-19-related psychosocial outcomes (CRISIS).

In the parent-proxy model, youth COVID-19-related worry was associated with lower parental education (b = 2.44), online and combination learning (b = 1.62 and b = 2.15), and social restrictions (b = 0.17). For the COVID-19-related social restrictions model, associated factors were male sex (1.79), lower illness severity (b = −0.13), parental depressive symptoms (b = 0.11), online learning (b = 1.84), elevated pandemic psychological distress (b = 0.81), and COVID-19-related worry (b = 0.19). According to youth-self reports, COVID-19-related worry and social restrictions were correlated (r = 0.50), and females reported higher scores on these CRISIS scales (mean difference 3.5 and 2.7, respectively).

Discussion

Summary of Findings

In this clinical sample of youth with chronic physical illness and their parents, levels of psychological distress increased from before to during the COVID-19 pandemic. Parent-proxy reports appear to underestimate psychological and psychosocial distress in youth, but overestimate youth perceptions of hope that the pandemic will end soon. Furthermore, clinical factors were generally not found to be associated with psychological or psychosocial distress; instead, parent mental health, COVID-19-related stressors, and learning environments that were online only or a combination of in-person/online were associated with parent and youth psychological and psychosocial distress during the pandemic.

Consistent with previous studies, parents of children with physical illness reported a medium-sized increase in psychological distress from prior to during the COVID-19 pandemic (13, 16, 19, 20, 34). This deterioration in the mental health of parents has pervasive sequelae, negatively affecting their well-being (59), and also the health and well-being of their children (60–62). Psychological distress has been shown to hinder caregiving responsibilities, which can result in poorer health outcomes for children with physical illness (63–65), many of which have complex care needs that may be compounded in the context of the COVID-19 pandemic. Intuitively, higher baseline depressive symptoms and current COVID-19-related worry and effects of social restrictions were associated with larger increases in psychological distress; these are unique, but related constructs that capture overlapping internalizing psychopathologies (66). In contrast, having children in combined in-person and online learning was associated with lower psychological distress during the pandemic. Evidence is mounting that parental burden during the COVID-19 pandemic stems, in large part, from having to support their children with at-home or remote online learning, while schools are closed (67–69). Combined in-person and online learning may afford parents a bit of relief of the burden of managing their children's learning during in-person schooling (68), and also provide a sense of control in their families' schedules when children are involved in online learning. This notion is speculative and further research—quantitative and qualitative—is needed to substantiate or refute this hypothesis as previous work has suggested that parents have reported feeling less supported by schools and having limited contact with teachers during temporary periods of online learning (69).

Youth also experienced an increase in psychological distress, as reported by parent-proxies and themselves, though this change was relatively smaller compared with the change in psychological distress experienced by parents. This finding was consistent with previous studies in children and adolescents in the general population (6, 9, 11), as well as among youth with physical or mental illness (12, 15, 17, 28). While the increase in psychological distress was seen over a relatively short follow-up, evidence suggests that psychopathology in youth with physical illness (i.e., physical-mental comorbidity) is chronic in nature (26) and results in compounding negative effects on youth health and well-being (23). Given that this comorbidity appears early in life, there is the potential for poor health outcomes over the life-course and increased burden on the health system resulting from the often complex care needs of youth with physical–mental comorbidity (27, 70, 71).

While both parent and youth reports of elevated COVID-19-related worry and social restrictions were associated with increased psychological distress during the pandemic (consistent with previous studies) (16), only for youth was the association between low hope and elevated psychological distress found. This finding, consistent with previous research, offers a potential target for intervention to prevent declines in youth mental health, foster adaptive coping and resilience, and promote positive psychology during times of population crisis (72, 73). In collaboration with public health and social services, the education system is well-positioned to deliver universal preventive interventions for youth. By incorporating prevention proactively within curricula developmentally appropriate and evidence-based interventions can be applied, stigma associated with help-seeking for mental health services can be reduced, and better support be provided to vulnerable youth (74–77).

Among youth reports, the finding that females had elevated psychological distress was consistent with previous work highlighting sex differences related to internalizing symptoms (48, 78). Also, the finding that disability was associated with increased psychological distress during the pandemic reinforces the negative consequences of social restrictions for youth with physical illness and the interrelationship between disability, physical illness, and mental health among youth (50).

Family-level factors were implicated in psychosocial outcomes related to the pandemic; families reporting more stressful environments and worse functioning tended to have more worry about COVID-19. Financial concerns were also associated with COVID-19-related worry and likely the stress from such hardship, in combination with stressful parents and family dysfunction, are compounded in families who have a child with a physical illness or complex care needs (19, 68). Further, parent substance use was associated with lower levels of worry, but higher levels of the effect of social restrictions may suggest that parents are using substances to self-medicate their anxiety surrounding COVID-19 (79), as well as engage in negative coping behaviors in response to burn-out (28, 80, 81). In sum, these findings speak to the importance of adopting and refining family-centered models of care that integrate physical and mental health specialties for children with physical illness and their families, especially during times of global crisis (16, 36, 37, 82).

In contrast to the inverse association with psychological distress, online and combination learning environment was positively associated with COVID-19-related worry among parents. Such worry may result from parental concerns regarding muted educational progress and fewer future opportunities for children, especially those achieving academic milestones (e.g., beginning secondary or postsecondary school). These learning environments may also serve as constant reminders for parents that life has deviated from normalcy (e.g., switching between in-person and online learning due to transmission outbreaks) leading to rumination, a core symptom of anxiety disorder (66), on the pandemic. Ultimately, the compounding stressors of caregiving to their children with physical illness, supporting their education, and often managing careers—all from home—contribute to burn-out and, a general sense of loss among parents (28, 67, 79, 80, 83, 84).

Based on parent-proxy reports, lower level of disability was associated with higher level of negative effects of COVID-19-related social restriction among youth with physical illness. This finding may be a function of a perceived sense of loss among youth who, in the context of their physical illness (85–87), maintain a relatively high level of functioning or minimal impairment. For these youth, the shutdown of organized sports, closure of parks and recreational facilities, as well as other closures in response to the COVID-19 pandemic essentially removed opportunities for physical activity and social interaction with peers (67, 69). The loss of such activities, which in the context of school closures, provided some routine for youth with physical illness and their families likely contributed to their reports of the effects of social restriction, requires additional study. In a related vein, online and combination learning were associated with parent-proxy reports of COVID-19-related worry and social restrictions among young. There is robust evidence that these learning environments, which reduce social interactions among youth (88, 89), may also contribute negatively to their mental health—an effect that may be compounded in youth with physical illness who may already experience individual and family burden (67, 68, 90–92).

Of interest is the discrepant finding between informants with regard to the association between youth sex and COVID-19-related social restrictions. For youth-self report, female sex was associated with increased perception of the negative effect of social restrictions, whereas for parent-proxy reports, this association was with male sex. This informant inconsistency may be related to differences in the interpretation of sex as a biological construct vs. gender as a sociocultural construct. Additional research, likely qualitative in nature, is needed to investigate this notion; however, this finding confirms the importance of including multiple informants and perspectives in the context of child and family research.

Study Limitations

There are some notable limitations to this study. First, recall bias may affect the validity of the findings as parents and youth were asked to retrospectively reflect on their psychological and psychosocial health prior to the COVID-19 lockdown ordinances. Thus, change in distress scores may be overestimated. Ongoing data collection in MY LIFE may permit the examination of post-pandemic psychological and psychosocial health in a prospective manner. Second, the absence of a control group prevents ascertainment as to whether the changes in psychological distress and psychosocial health are specific to youth with physical illness and their families, or whether the magnitude of such changes are similar to subgroups within the population. Given that few clinical factors were associated with psychological or psychosocial distress, it is reasonable to expect similar findings in the general population. Third, because a relatively small subsample of youth was age eligible to provide self-reports, this study was underpowered to reliably estimate measures of association in adjusted models of psychological distress and psychosocial health.

Conclusion

Youth with chronic physical illness and their parents report substantial increases in symptoms of psychological distress from before to during the COVID-19 pandemic. Both also report elevated COVID-19-related worry and negative effects of social restrictions aimed at reducing transmission. Few clinical factors were associated with changes in psychological distress or COVID-19-related psychosocial health; instead parent/family factors and online or combined online and in-person learning environments were key risk factors in predicting poorer outcomes in this vulnerable population of youth and their families. Models of care that are family-centered are crucial to support the mental and psychosocial health of youth with physical illness and their families, especially during times of global crisis. Efforts within the health system to integrate physical and mental health care, as well as trans-sectoral efforts across the health, education, and social services systems must be redoubled to capture the value of youth perspectives to provide learning environments that accommodate the unique needs of youth with physical illness and their parents to reduce burden and promote the best possible health outcomes.

Data Availability Statement

The datasets presented in this article are not readily available because the authors do not have ethical approval to share the study data. Requests to access the datasets should be directed to Mark A. Ferro, bWFyay5mZXJybyYjeDAwMDQwO3V3YXRlcmxvby5jYQ==.

Ethics Statement

The studies involving human participants were reviewed and approved by Waterloo Human Research Ethics Board. Written informed consent to participate in this study was provided by the participants' legal guardian/next of kin.

Author Contributions

MF conceptualized the study, led the acquisition of funding, supervised all aspects of data collection, led the analysis of the data, and drafted the manuscript. SM, JY, SR, EL, and JG contributed to study design, acquisition of funding, provided insight to the interpretation of findings, and edited the manuscript for intellectual content. All authors agree to be accountable for the content of the work.

Funding

This study was funded by grants from the Canadian Institutes of Health Research (PJT-148602 and MS1-173067). MF holds the Canada Research Chair in Youth Mental Health and is the recipient of the Early Researcher Award from the Ontario Ministry of Research, Innovation and Science.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

The authors gratefully acknowledge the children, parents, and health professionals and their staff, without whose participation, this study would not have been possible. We especially thank Jessica Zelman, Robyn Wojicki, Charlene Attard, and Melissa Elgie for coordinating the study, and Saad Qureshi for assisting in the preparation of this manuscript.

References

1. WHO. Substantial Investment Needed to Avert Mental Health Crisis. Geneva: WHO (2020). Available online at: https://www.who.int/news-room/detail/14–05-2020-substantial-investment-needed-to-avert-mental-health-crisis (accessed: May 14, 2021).

2. Raman S, Harries M, Nathawad R, Kyeremateng R, Seth R, Lonne B. Where do we go from here? A child rights-based response to COVID-19. BMJ Paediatr Open. (2020) 4:e000714. doi: 10.1136/bmjpo-2020-000714

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Du H, Dong X, Zhang JJ, Cao YY, Akdis M, Huang PQ, et al. Clinical characteristics of 182 pediatric COVID-19 patients with different severities and allergic status. Allergy. (2021) 76:510–32. doi: 10.1111/all.14452

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Shekerdemian LS, Mahmood NR, Wolfe KK, Riggs BJ, Ross CE, McKiernan CA, et al. Characteristics and outcomes of children with coronavirus disease 2019 (COVID-19) infection admitted to US and Canadian Pediatric Intensive Care Units. JAMA Pediatr. (2020) 174:868–73. doi: 10.1001/jamapediatrics.2020.1948

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Asmundson GJG, Taylor S. How health anxiety influences responses to viral outbreaks like COVID-19: What all decision-makers, health authorities, and health care professionals need to know. J Anxiety Disord. (2020) 71:102211. doi: 10.1016/j.janxdis.2020.102211

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Hawke LD, Monga S, Korczak D, Hayes E, Relihan J, Darnay K, et al. Impacts of the COVID-19 pandemic on youth mental health among youth with physical health challenges. Early Interv Psychiatry. (2020) 15:1146–53. doi: 10.1111/eip.13052

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Cobham VE, Hickling A, Kimball H, Thomas HJ, Scott JG, Middeldorp CM. Systematic review: anxiety in children and adolescents with chronic medical conditions. J Am Acad Child Adolesc Psychiatry. (2020) 59:595–618. doi: 10.1016/j.jaac.2019.10.010

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Dopfer C, Wetzke M, Zychlinsky Scharff A, Mueller F, Dressler F, Baumann U, et al. COVID-19 related reduction in pediatric emergency healthcare utilization - a concerning trend. BMC Pediatr. (2020) 20:427. doi: 10.1186/s12887-020-02303-6

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Liang L, Ren H, Cao R, Hu Y, Qin Z, Li C, et al. The effect of COVID-19 on youth mental health. Psychiatr Q. (2020) 91:841–52. doi: 10.1007/s11126-020-09744-3

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Hawke LD, Barbic SP, Voineskos A, Szatmari P, Cleverley K, Hayes E, et al. Impacts of COVID-19 on youth mental health, substance use, and well-being: a rapid survey of clinical and community samples: repercussions de la COVID-19 sur la sante mentale, l'utilisation de substances et le bien-etre des adolescents: un sondage rapide d'echantillons cliniques et communautaires. Can J Psychiatry. (2020) 65:701–9. doi: 10.1177/0706743720940562

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Cost KT, Crosbie J, Anagnostou E, Birken CS, Charach A, Monga S, et al. Mostly worse, occasionally better: impact of COVID-19 pandemic on the mental health of Canadian children and adolescents. Eur Child Adolesc Psychiatry. (2021). doi: 10.1007/s00787-021-01744-3. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Asbury K, Fox L, Deniz E, Code A, Toseeb U. How is COVID-19 affecting the mental health of children with special educational needs and disabilities and their families? J Autism Dev Disord. (2021) 51:1772–80. doi: 10.1007/s10803-020-04577-2

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Cacioppo M, Bouvier S, Bailly R, Houx L, Lempereur M, Mensah-Gourmel J, et al. Emerging health challenges for children with physical disabilities and their parents during the COVID-19 pandemic: the ECHO French survey. Ann Phys Rehabil Med. (2021) 64:101429. doi: 10.1016/j.rehab.2020.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Kosir U, Loades M, Wild J, Wiedemann M, Krajnc A, Roskar S, et al. The impact of COVID-19 on the cancer care of adolescents and young adults and their well-being: results from an online survey conducted in the early stages of the pandemic. Cancer. (2020) 126:4414–22. doi: 10.1002/cncr.33098

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Pinar Senkalfa B, Sismanlar Eyuboglu T, Aslan AT, Ramasli Gursoy T, Soysal AS, Yapar D, et al. Effect of the COVID-19 pandemic on anxiety among children with cystic fibrosis and their mothers. Pediatr Pulmonol. (2020) 55:2128–34. doi: 10.1002/ppul.24900

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Ademhan Tural D, Emiralioglu N, Tural Hesapcioglu S, Karahan S, Ozsezen B, Sunman B, et al. Psychiatric and general health effects of COVID-19 pandemic on children with chronic lung disease and parents' coping styles. Pediatr Pulmonol. (2020) 55:3579–86. doi: 10.1002/ppul.25082

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Colizzi M, Sironi E, Antonini F, Ciceri ML, Bovo C, Zoccante L. Psychosocial and behavioral impact of COVID-19 in autism spectrum disorder: an online parent survey. Brain Sci. (2020) 10:341. doi: 10.3390/brainsci10060341

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Zhang J, Shuai L, Yu H, Wang Z, Qiu M, Lu L, et al. Acute stress, behavioural symptoms and mood states among school-age children with attentiondeficit/hyperactive disorder during the COVID-19 outbreak. Asian J Psychiatry. (2020) 51:102077. doi: 10.1016/j.ajp.2020.102077

PubMed Abstract | CrossRef Full Text | Google Scholar

19. van Tilburg MAL, Edlynn E, Maddaloni M, van Kempen K, Diaz-Gonzalez de Ferris M, Thomas J. High levels of stress due to the SARS-CoV-2 pandemic among parents of children with and without chronic conditions across the USA. Children. (2020) 7:193. doi: 10.3390/children7100193

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Durcan G, Barut K, Haslak F, Doktur H, Yildiz M, Adrovic A, et al. Psychosocial and clinical effects of the COVID-19 pandemic in patients with childhood rheumatic diseases and their parents. Rheumatol Int. (2021) 41:575–83. doi: 10.1007/s00296-021-04790-x

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Stein RE, Bauman LJ, Westbrook LE, Coupey SM, Ireys HT. Framework for identifying children who have chronic conditions: the case for a new definition. J Pediatr. (1993) 122:342–7. doi: 10.1016/S0022-3476(05)83414-6

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Stein RE, Silver EJ. Operationalizing a conceptually based noncategorical definition: a first look at US children with chronic conditions. Arch Pediatr Adolesc Med. (1999) 153:68–74. doi: 10.1001/archpedi.153.1.68

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Butler A, Van Lieshout RJ, Lipman EL, MacMillan HL, Gonzalez A, Gorter JW, et al. Mental disorder in children with physical conditions: a pilot study. BMJ Open. (2018) 8:e019011. doi: 10.1136/bmjopen-2017-019011

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Ferro MA. Major depressive disorder, suicidal behaviour, bipolar disorder, and generalised anxiety disorder among emerging adults with and without chronic health conditions. Epidemiol Psychiatr Sci. (2016) 25:462–74. doi: 10.1017/S2045796015000700

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Ferro MA, Boyle MH. Self-concept among children and adolescents with a chronic illness: a meta-analytic review. Health Psychol. (2013) 32:839–48. doi: 10.1037/a0031861

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Reaume SV, Ferro MA. Chronicity of mental comorbidity in children with new-onset physical illness. Child Care Health Dev. (2019) 45:559–67. doi: 10.1111/cch.12667

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Reaume SV, Luther AWM, Ferro MA. Physical morbidity and mental health care among young people. J Adolesc Health. (2021) 68:540–7. doi: 10.1016/j.jadohealth.2020.06.040

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Ravens-Sieberer U, Kaman A, Erhart M, Devine J, Schlack R, Otto C. Impact of the COVID-19 pandemic on quality of life and mental health in children and adolescents in Germany. Eur Child Adolesc Psychiatry. (2021). doi: 10.1007/s00787-021-01726-5. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Oltean II, Ferro MA. Agreement of child and parent-proxy reported health-related quality of life in children with mental disorder. Qual Life Res. (2019) 28:703–12. doi: 10.1007/s11136-018-2026-x

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Qadeer RA, Ferro MA. Child–parent agreement on health-related quality of life in children with newly diagnosed chronic health conditions: a longitudinal study. Int J Adolesc Youth. (2018) 23:99–108. doi: 10.1080/02673843.2017.1297242

CrossRef Full Text | Google Scholar

31. Tompke BK, Ferro MA. Measurement invariance and informant discrepancies of the KIDSCREEN-27 in children with mental disorder. Appl Res Qual Life. (2021) 16:891–910. doi: 10.1007/s11482-019-09801-5

CrossRef Full Text | Google Scholar

32. Canning EH, Hanser SB, Shade KA, Boyce WT. Mental disorders in chronically ill children: parent-child discrepancy and physician identification. Pediatrics. (1992) 90:692–6.

PubMed Abstract | Google Scholar

33. Boyle MH, Duncan L, Georgiades K, Bennett K, Gonzalez A, Van Lieshout RJ, et al. Classifying child and adolescent psychiatric disorder by problem checklists and standardized interviews. Int J Methods Psychiatr Res. (2017) 26:e1544. doi: 10.1002/mpr.1544

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Oreskovic NM, Kinane TB, Aryee E, Kuhlthau KA, Perrin JM. The unexpected risks of COVID-19 on asthma control in children. J Allergy Clin Immunol Pract. (2020) 8:2489–91. doi: 10.1016/j.jaip.2020.05.027

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Wetterlin FM, Mar MY, Neilson EK, Weker GR, Krausz M. eMental health experiences and expectations: a survey of youths' web-based resource preferences in Canada. J Med Internet Res. (2014) 16:e293. doi: 10.2196/jmir.3526

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Ravaud P, le Ouay F, Depaulis E, Huckert A, Vegreville B, Tran V-T. Reconfiguring health services to reduce the workload of caregivers during the COVID-19 outbreak using an open-source scalable platform for remote digital monitoring and coordination of care in hospital command centres. arXiv preprint. (2020) arXiv.2003.05873.

Google Scholar

37. Zhou X, Snoswell CL, Harding LE, Bambling M, Edirippulige S, Bai X, et al. The role of telehealth in reducing the mental health burden from COVID-19. Telemed J E Health. (2020) 26:377–9. doi: 10.1089/tmj.2020.0068

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Ferro MA, Lipman EL, Van Lieshout RJ, Gorter JW, Shanahan L, Boyle M, et al. Multimorbidity in children and youth across the life-course (MY LIFE): protocol of a Canadian prospective study. BMJ Open. (2019) 9:e034544. doi: 10.1136/bmjopen-2019-034544

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Ferro MA, Lipman EL, Van Lieshout RJ, Timmons B, Shanahan L, Gorter JW, et al. Cohort profile: multimorbidity in children and youth across the life-course (MY LIFE) study. J Can Acad Child Adolesc Psychiatry. (2021) 30:104–15.

PubMed Abstract | Google Scholar

40. Ontario Agency for Health Protection and Promotion. Trends of COVID-19 incidence in Ontario. In: Public Health Ontario, editor. Toronto, ON: Queen's Printer for Ontario (2021).

41. Kessler RC, Andrews G, Colpe LJ, Hiripi E, Mroczek DK, Normand SL, et al. Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol Med. (2002) 32:959–76. doi: 10.1017/S0033291702006074

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Ferro MA. The psychometric properties of the kessler psychological distress scale (K6) in an epidemiological sample of Canadian youth. Can J Psychiatry. (2019) 64:647–57. doi: 10.1177/0706743718818414

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Kessler RC, Green JG, Gruber MJ, Sampson NA, Bromet E, Cuitan M, et al. Screening for serious mental illness in the general population with the K6 screening scale: results from the WHO World Mental Health (WMH) survey initiative. Int J Methods Psychiatr Res. (2010) 19:4–22. doi: 10.1002/mpr.310

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Merikangas K, Milham M, Stringaris A. The Coronavirus Health Impact Survey (CRISIS) United States: Child Mind Institute. (2020). Available online at: http://www.crisissurvey.org/ (accessed: June 18, 2021).

45. Sheehan DV, Sheehan KH, Shytle RD, Janavs J, Bannon Y, Rogers JE, et al. Reliability and validity of the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID). J Clin Psychiatry. (2010) 71:313–26. doi: 10.4088/JCP.09m05305whi

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Duncan L, Boyle M, Ferro MA, Georgiades K, Van Lieshout RJ, Bennett K, et al. Psychometric evaluation of the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID). Psychol Assess. (2018) 30:916–28. doi: 10.1037/pas0000541

PubMed Abstract | CrossRef Full Text | Google Scholar

47. McDonald E, Whitney S, Horricks L, Lipman EL, Ferro MA. Parent-child agreement on the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID). J Can Acad Child Adolesc Psychiatry. (2021) 30:264–72.

Google Scholar

48. Georgiades K, Duncan L, Wang L, Comeau J, Boyle MH, Ontario Child Health Study T. Six-month prevalence of mental disorders and service contacts among children and youth in Ontario: evidence from the 2014 Ontario child health study. Can J Psychiatry. (2019) 64:246–55. doi: 10.1177/0706743719830024

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Üstün TB, Kostanjsek N, Chatterji S, Rehm J. Measuring Health and Disability: Manual for WHO Disability Assessment Schedule: WHODAS 2.0. Geneva: World Health Organization (2010).

Google Scholar

50. Tompke BK, Tang J, Oltean II, Buchan MC, Reaume SV, Ferro MA. Measurement invariance of the WHODAS 2.0 across youth with and without physical or mental conditions. Assessment. (2020) 27:1490–501. doi: 10.1177/1073191118816435

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Kimber M, Rehm J, Ferro MA. Measurement invariance of the WHODAS 2.0 in a population-based sample of youth. PLoS ONE. (2015) 10:e0142385. doi: 10.1371/journal.pone.0142385

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas. (1977) 1:385–401. doi: 10.1177/014662167700100306

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Dol M, McDonald E, Ferro MA. Psychometric properties of the CESD, STAI-T, and PSS among parents of children with mental illness. J Fam Stud. (2020). doi: 10.1080/13229400.2020.1837208

CrossRef Full Text | Google Scholar

54. Ferro MA, Speechley KN. Factor structure and longitudinal invariance of the Center for Epidemiological Studies Depression Scale (CES-D) in adult women: application in a population-based sample of mothers of children with epilepsy. Arch Womens Ment Health. (2013) 16:159–66. doi: 10.1007/s00737-013-0331-5

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Berry JO, Jones WH. The parental stress scale: initial psychometric evidence. J Soc Pers Relat. (1995) 12:463–72. doi: 10.1177/0265407595123009

CrossRef Full Text | Google Scholar

56. Zelman JJ, Ferro MA. Psychometric properties of the parental stress scale in families of children with chronic physical conditions. Fam Relat. (2018) 67:240–52. doi: 10.1111/fare.12306

CrossRef Full Text | Google Scholar

57. Byles J, Byrne C, Boyle MH, Offord DR. Ontario child health study: reliability and validity of the general functioning subscale of the McMaster Family Assessment Device. Fam Process. (1988) 27:97–104. doi: 10.1111/j.1545-5300.1988.00097.x

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Oltean II, Perlman C, Meyer S, Ferro MA. Child mental health disorder and mental health service use: role of family functioning. J Child Fam Stud. (2020) 29:2602–13. doi: 10.1007/s10826-020-01784-4

CrossRef Full Text | Google Scholar

59. Reed M. Family Functioning and Health-Related Quality of Life in Parents of Children With Mental Illness. Canada: University of Waterloo (2021).

PubMed Abstract | Google Scholar

60. Durcan E, Turan S, Sahin S, Sulu C, Taze SS, Kavla Y, et al. Psychosocial effects and clinic reflections of the COVID-19 outbreak in patients with acromegaly and Cushing's disease. Pituitary. (2021) 24:589–99. doi: 10.1007/s11102-021-01136-5

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Ferro MA, Boyle MH. The impact of chronic physical illness, maternal depressive symptoms, family functioning, and self-esteem on symptoms of anxiety and depression in children. J Abnorm Child Psychol. (2015) 43:177–87. doi: 10.1007/s10802-014-9893-6

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Ferro MA, Boyle MH, Avison WR. Associations between trajectories of maternal depression and subsequent psychological functioning in youths with and without chronic illness. Health Psychol. (2015) 34:820–8. doi: 10.1037/hea0000226

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Mullins LL, Wolfe-Christensen C, Pai AL, Carpentier MY, Gillaspy S, Cheek J, et al. The relationship of parental overprotection, perceived child vulnerability, and parenting stress to uncertainty in youth with chronic illness. J Pediatr Psychol. (2007) 32:973–82. doi: 10.1093/jpepsy/jsm044

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Diederen K, Haverman L, Grootenhuis MA, Benninga MA, Kindermann A. Parental distress and quality of life in pediatric inflammatory bowel disease: implications for the outpatient clinic. J Pediatr Gastroenterol Nutr. (2018) 66:630–6. doi: 10.1097/MPG.0000000000001756

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Bramuzzo M, De Carlo C, Arrigo S, Pavanello PM, Canaletti C, Giudici F, et al. Parental psychological factors and quality of life of children with inflammatory bowel disease. J Pediatr Gastroenterol Nutr. (2020) 70:211–7. doi: 10.1097/MPG.0000000000002548

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Association AP. Diagnostic and Statistical Manual of Mental Disorders: DSM 5, 5th Edn. Washington, DC: American Psychiatric Association (2013).

Google Scholar

67. Verlenden JV, Pampati S, Rasberry CN, Liddon N, Hertz M, Kilmer G, et al. Association of children's mode of school instruction with child and parent experiences and well-being during the COVID-19 pandemic - COVID experiences survey, United States, October 8-November 13, 2020. MMWR Morb Mortal Wkly Rep. (2021) 70:369–76. doi: 10.15585/mmwr.mm7011a1

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Becker SP, Breaux R, Cusick CN, Dvorsky MR, Marsh NP, Sciberras E, et al. Remote learning during COVID-19: examining school practices, service continuation, and difficulties for adolescents with and without attention-deficit/hyperactivity disorder. J Adolesc Health. (2020) 67:769–77. doi: 10.1016/j.jadohealth.2020.09.002

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Thorell LB, Skoglund C, de la Pena AG, Baeyens D, Fuermaier ABM, Groom MJ, et al. Parental experiences of homeschooling during the COVID-19 pandemic: differences between seven European countries and between children with and without mental health conditions. Eur Child Adolesc Psychiatry. (2021). doi: 10.1007/s00787-020-01706-1. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Wodchis WP, Austin PC, Henry DA. A 3-year study of high-cost users of health care. CMAJ. (2016) 188:182–8. doi: 10.1503/cmaj.150064

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Cohen E, Berry JG, Camacho X, Anderson G, Wodchis W, Guttmann A. Patterns and costs of health care use of children with medical complexity. Pediatrics. (2012) 130:e1463–70. doi: 10.1542/peds.2012-0175

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Tol WA, Barbui C, Galappatti A, Silove D, Betancourt TS, Souza R, et al. Mental health and psychosocial support in humanitarian settings: linking practice and research. Lancet. (2011) 378:1581–91. doi: 10.1016/S0140-6736(11)61094-5

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Prime H, Wade M, Browne DT. Risk and resilience in family well-being during the COVID-19 pandemic. Am Psychol. (2020) 75:631–43. doi: 10.1037/amp0000660

PubMed Abstract | CrossRef Full Text | Google Scholar

74. McGorry P, Bates T, Birchwood M. Designing youth mental health services for the 21st century: examples from Australia, Ireland and the UK. Br J Psychiatry Suppl. (2013) 54:s30–5. doi: 10.1192/bjp.bp.112.119214

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Weare K, Nind M. Mental health promotion and problem prevention in schools: what does the evidence say? Health Promot Int. (2011) 26:i29–69. doi: 10.1093/heapro/dar075

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Kern L, Mathur SR, Albrecht SF, Poland S, Rozalski M, Skiba RJ. The need for school-based mental health services and recommendations for implementation. Sch Ment Health. (2017) 9:205–17. doi: 10.1007/s12310-017-9216-5

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Brownlie EB, Chaim G, Heffernan O, Herzog T, Henderson J. Youth services system review: moving from knowledge gathering to implementation through collaboration, youth engagement, and exploring local community needs. Can J Commun Ment Health. (2017) 36:133–49. doi: 10.7870/cjcmh-2017-018

CrossRef Full Text | Google Scholar

78. Comeau J, Georgiades K, Duncan L, Wang L, Boyle MH, Ontario Child Health Study T. Changes in the prevalence of child and youth mental disorders and perceived need for professional help between 1983 and 2014: evidence from the Ontario Child Health Study. Can J Psychiatry. (2019) 64:256–64. doi: 10.1177/0706743719830035

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Deacon SH, Rodriguez LM, Elgendi M, King FE, Nogueira-Ariona R, Sherry SB, et al. Parenting through a pandemic: mental health and substance use consequences of mandated homeschooling. Couple Fam Psychol Res Pract. (2021). doi: 10.1037/cfp0000171

CrossRef Full Text | Google Scholar

80. Wolf JP, Freisthler B, Chadwick C. Stress, alcohol use, and punitive parenting during the COVID-19 pandemic. Child Abuse Negl. (2021) 117:105090. doi: 10.1016/j.chiabu.2021.105090

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Griffith AK. Parental burnout and child maltreatment during the COVID-19 pandemic. J Fam Violence. (2020). doi: 10.1007/s10896-020-00172-2. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Firth J, Siddiqi N, Koyanagi A, Siskind D, Rosenbaum S, Galletly C, et al. The lancet psychiatry commission: a blueprint for protecting physical health in people with mental illness. Lancet Psychiatry. (2019) 6:675–712. doi: 10.1016/S2215-0366(19)30132-4

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Fontanesi L, Marchetti D, Mazza C, Di Giandomenico S, Roma P, Verrocchio MC. The effect of the COVID-19 lockdown on parents: a call to adopt urgent measures. Psychol Trauma. (2020) 12:S79–81. doi: 10.1037/tra0000672

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Neece C, McIntyre LL, Fenning R. Examining the impact of COVID-19 in ethnically diverse families with young children with intellectual and developmental disabilities. J Intellect Disabil Res. (2020) 64:739–49. doi: 10.1111/jir.12769

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Jelbert R, Stedmon J, Stephens A. A qualitative exploration of adolescents' experiences of chronic fatigue syndrome. Clin Child Psychol Psychiatry. (2010) 15:267–83. doi: 10.1177/1359104509340940

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Lehmann V, Gronqvist H, Engvall G, Ander M, Tuinman MA, Hagedoorn M, et al. Negative and positive consequences of adolescent cancer 10 years after diagnosis: an interview-based longitudinal study in Sweden. Psychooncology. (2014) 23:1229–35. doi: 10.1002/pon.3549

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Tegg-Quinn S, Bennett RJ, Brennan-Jones CG, Barabash S, Mulders WH, Eikelboom RH. Reflections and perceptions of chronic tinnitus during childhood and adolescence. Int J Pediatr Otorhinolaryngol. (2020) 138:110258. doi: 10.1016/j.ijporl.2020.110258

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Esposito S, Principi N. School closure during the coronavirus disease 2019 (COVID-19) pandemic: an effective intervention at the global level? JAMA Pediatr. (2020) 174:921–2. doi: 10.1001/jamapediatrics.2020.1892

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Wang G, Zhang Y, Zhao J, Zhang J, Jiang F. Mitigate the effects of home confinement on children during the COVID-19 outbreak. Lancet. (2020) 395:945–7. doi: 10.1016/S0140-6736(20)30547-X

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Silva N, Pereira M, Otto C, Ravens-Sieberer U, Canavarro MC, Bullinger M. Do 8- to 18-year-old children/adolescents with chronic physical health conditions have worse health-related quality of life than their healthy peers? A meta-analysis of studies using the KIDSCREEN questionnaires. Qual Life Res. (2019) 28:1725–50. doi: 10.1007/s11136-019-02189-7

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Tang S, Xiang M, Cheung T, Xiang YT. Mental health and its correlates among children and adolescents during COVID-19 school closure: the importance of parent-child discussion. J Affect Disord. (2021) 279:353–60. doi: 10.1016/j.jad.2020.10.016

PubMed Abstract | CrossRef Full Text | Google Scholar

92. The Mental Health and Well-Being of Students Who Will Return to School Remotely. Toronto, ON School Mental Health Ontario (2020)