key: cord-0719235-uutlm6ne
authors: Solmi, Marco; Correll, Christoph U
title: Physical and mental health impact of COVID-19 on children, adolescents, and their families: The Collaborative Outcome study on Health and Functioning during Infection Times - Children and Adolescents (COH-FIT-C&A)
date: 2021-10-02
journal: J Affect Disord
DOI: 10.1016/j.jad.2021.09.090
sha: f9d8064df3159640e68fcdd347da886dcc17e538
doc_id: 719235
cord_uid: uutlm6ne

BACKGROUND: : The COVID-19 pandemic has altered daily routines and family functioning, led to closing schools, and dramatically limited social interactions worldwide. Measuring its impact on mental health of vulnerable children and adolescents is crucial. METHODS: : The Collaborative Outcome study on Health and Functioning during Infection Times (COH-FIT – www.coh-fit.com) is an on-line anonymous survey, available in 30 languages, involving >220 investigators from 49 countries supported by national/international professional associations. COH-FIT has thee waves (until the pandemic is declared over by the WHO, and 6-18 months plus 24-36 months after its end). In addition to adults, COH-FIT also includes adolescents (age 14-17 years), and children (age 6-13 years), recruited via non-probability/snowball and representative sampling and assessed via self-rating and parental rating. Non-modifiable/modifiable risk factors/treatment targets to inform prevention/intervention programs to promote health and prevent mental and physical illness in children and adolescents will be generated by COH-FIT. Co-primary outcomes are changes in well-being (WHO-5) and a composite psychopathology P-Score. Multiple behavioral, family, coping strategy and service utilization factors are also assessed, including functioning and quality of life. RESULTS: : Up to June 2021, over 13,000 children and adolescents from 59 countries have participated in the COH-FIT project, with representative samples from eleven countries. LIMITATIONS: : Cross-sectional and anonymous design. CONCLUSIONS: : Evidence generated by COH-FIT will provide an international estimate of the COVID-19 effect on children's, adolescents’ and families’, mental and physical health, well-being, functioning and quality of life, informing the formulation of present and future evidence-based interventions and policies to minimize adverse effects of the present and future pandemics on youth.

The COVID-19 pandemic has infected over 101 million people around the world, caused over 2,180,000 deaths by January 28th, 2021. 1 Beyond pulmonary complications and deaths, the pandemic has also impacted mental and physical health of the general population, and especially of certain subgroups at risk. 2, 3 Moreover, changes in healthcare delivery have occurred worldwide. 4 While children and adolescents are at a lower risk of contracting COVID-19, they are nevertheless impacted by indirect consequences of the pandemic and related restrictions. A recent systematic review which pooled data from over 50,000 children and adolescents across 63 studies, showed that loneliness and disease containment measures increased the risk of depression short-term, and up to 9 years after containment for other-than-COVID-19 reasons in previously healthy children and adolescents. 5, 6 One further evidence synthesis effort focusing specifically on studies after the COVID-19 breakout has shown that the pandemic affects children and adolescents differently. 7 Rates of anxiety and relevant depressive symptoms increased from age 7-17. 7 The largest meta-analysis published to date on the prevalence of mental health concerns during the pandemic has shown that the anxiety prevalence among children and adolescents is as high as 19% (95% confidence interval 14% to 25%, data from 22 studies), and depression as high as 15% (95%CI 10% to 21%, data from 16 studies). 8 Besides children and adolescents of the general population, those suffering from mental disorders are in need of special adjustment of usual care during the pandemic. 9 Furthermore, evidence suggests that children with physical conditions, such as cancer, are suffering from lower quality of care due to health system changes during the pandemic. 10 Families in general, and in particular those with children or adolescents affected by a mental disorder, are struggling to cope with the pandemic-related restrictions, and in particular in managing homeschooling of their children while working from home at the same time. 11 Beyond the general population and service users, health services require adaptation to the current pandemic. For instance, telemedicine and use of technology increased worldwide, and are needed to cope with uneasiness of access to care, which is due both to services shifting resources to COVID-19 related care, and service users avoiding clinical contact to minimize infection risk. 12 In this context, the Collaborative Outcome study on Health and Functioning during Infection Times (COH-FIT -www.coh-fit.com) project was launched in April 26th, 2020, aiming to measure the COVID-19 pandemic impact on well-being, mental and physical health, functioning and access to care of the general population. Specifically, COH-FIT-Children and Adolescents (COH-FIT-C&A), targets children, adolescents, their parents and families to identify subgroups of children and adolescents at increased risk of struggling during the pandemic, in order to ascertain potential modifiable risk factors to tackle and protective factors to empower, and to assess, which coping strategies are most important to successfully deal with infection spread and related restrictions. Aiming to generate possibilities to pool or, at least, compare data across large studies, COH-FIT employs the same time frame used in the Coronavirus Health and Impact Survey (CRISIS), 13 with both projects asking about symptoms during the last two weeks at the moment of survey participation, and the last two weeks before the pandemic. Also, both survey projects collect data on youth via both parental rating and self-report questions. While CRISIS uses more parental report, COH-FIT includes broader pediatric self-report .

Given the unprecedented disruption of daily routine and already demonstrated or highly suspected negative impact of COVID-19 on the general population, including adults, parents, children and adolescents, as well as family systems, both in the short and in the long-term, our hypothesis is that the pandemic is adversely affecting children and adolescents regarding a variety of relevant outcomes, ranging from mental to physical health, well-being and functioning. We further hypothesize that such negative impact differs across various pediatric and family subgroups in terms of type and number of affected domains, severity and chronicity of the impairment, as well as support structures, care and coping mechanisms available/utilized. For instance, depressive symptoms might have increased in adolescents, yet alcohol or other substance abuse use might have decreased. Identifying specific risk and protective factors, as well as actionable items to minimize the pandemic's impact across specific subgroup of children and adolescents will inform tailored intervention and prevention opportunities. For instance, evidence that youth affected by attention-deficit/hyperactivity disorder, autism or mental retardation are those suffering the most from the pandemic-related restrictions could provide guidance to governments, which might consider modification of the type or implementation of restrictions for these fragile populations and their families. We also hypothesize that the self-perceived and parentally rated quality of life and functioning of youth will substantially differ, providing evidence in support of decisions on whether parental or self-rated measures should be selected for screening campaigns to identify the most vulnerable or affected subgroups during infection times. For instance, children or adolescents might not disclose the severity of their distress to their parents, especially if they are distressed too, who might therefore not be fully aware of the extent to which the pandemic is affecting their daughters' and sons' mental and physical health.

Overall, COH-FIT aims to comprehensively capture the impact of the COVID-19 pandemic on well-being, mental health, physical health, family, personal and social functioning of children, adolescents, and their families. The expectation is that the amount of collected data will inform who the most fragile groups are among children and adolescents, and what might be the actionable items to improve their health and functioning during present and future infection times.

In this article, the structure of COH-FIT-C&A is described, consisting of COH-FIT for adolescents (COH-FIT-AD) and for children (COH-FIT-C). COH-FIT survey data are collected, stored and managed using the Research Electronic Data Capture (REDCap) software tool hosted at the Department of Neurosciences of the University of Padua, Italy, as well at Charité -Universitätsmedizin Berlin, Germany. 14 COH-FIT is an on-line anonymous survey (www.coh-fit.com) for adults as well as, after guardian e-consent, for adolescents (14-17years) and children (6-13years). Participants can respond via a laptop, tablet, or smartphone. COH-FIT has a multi-wave structure. Wave 1 began on April 27th, 2020 and will continue until the pandemic will be declared over by the WHO. Waves 2 and 3 will last 6-18 months and from 24 to 36 months onwards after the pandemic's official end. While it is a cross-sectional survey at the respondent level, COH-FIT is a longitudinal survey at the population level with continuous data collection during each wave, capturing responses at different infection/mortality rates, restrictions, etc.

Data and outcomes are deliberately broad to provide a fine-grained and transdiagnostic physical, emotional, behavioral and interactional picture of the pandemic's impact on children, adolescents, and families, ranging from well-being, mental health, physical health to health-service access/utilization, treatment adherence, interpersonal and family functioning, school and work performance, financial loss, emotions, sleep, etc.

Moreover, instead of assessing a limited group of symptoms with validated instruments including many questions, we selected 1-2 items from validated questionnaires. For instance, instead of using the nine questions of the Patient Health Questionnaire-9 15 to measure depressive symptoms, COH-FIT only uses two items (one for depressed mood, one for loss of interest). With this approach, COH-FIT aims to measure a wide transdiagnostic symptomatic profile with a limited number of questions. Specifically, COH-FIT items were extracted from PHQ-9, 15 Generalized Anxiety Disorder-7, 16 Post-traumatic Stress Disorder Checklist for DSM-5 (PCL-5), 17 Brief Obsessive Compulsive Scale (BOCS), 18 Altman Self-Rating Mania Scale, 19 Prodromal Questionnaire-16. 20 COH-FIT has been translated into 30 languages (https://www.coh-fit.com//take-survey/). Two different instruments compose COH-FIT-AD and COH-FIT-C, (Figure 1 ). For both COH-FIT-AD and COH-FIT-C, parental consent is needed, and parental rating on functioning and quality of life is collected.

After e-consent, parents/ guardians are asked to provide information on age, gender, and presence of physical/mental comorbidities of their children/adolescent. Then, parents/guardians are asked to rate the child's/adolescent's functioning on the anchored Children's Global Assessment Scale (CGAS), 21 and quality of life with the Pediatric Quality of Life Enjoyment and Satisfaction Questionnaire (PQ-LES-Q). 22 After parental/guardian rating, the adolescent takes the COH-FIT-AD survey, which is identical to the adult survey (COH-FIT-A) without a question regarding sexual activity. The child takes the COH-FIT-C survey, which has abbreviated/condensed content and simplified language.

Given that children/adolescents share the same household with other individuals who may be interested in participating in the survey, respondents can generate, input and store a non-identifiable 10-character password ("household code") that can be shared with and used by all individuals living in the same household, allowing household-based analyses.

Both surveys (COH-FIT-AD/C) have an adaptive format, in that they prompt/do not prompt the respondent with additional questions depending on previous answers. Moreover, if participants want to interrupt the survey and come back to it later on, a "Return code" is generated. This code is sent automatically to an individually imputed e-mail address of preference (which is not stored in the database), requesting to rejoin and complete the saved questionnaire.

Both non-representative sampling via snowball/non-probabilistic approach and representative samples purchased via polling institutes are being collected.

Children aged 6-13 years can take the COH-FIT-C, which has a simpler/developmentally appropriate language, and is shorter covering only a subgroup of relevant items.

The two COH-FIT co-primary outcomes are well-being (modified version of World Health Organization -5 (WHO-5) 23 with each item scored on a VAS 0-100 scale, rather than a six-point Likert-scale), and a composite psychopathology score, C-P-Score, composed of the following domains: anxiety, depression, post-traumatic, stress, sleep, concentration. Items composing the C-P-Score have been selected a-priori based on clinical judgement Key secondary outcomes are the C-P-Extended Score composed of C-P-Score plus helplessness, loneliness, anger, as well as self-rated quality of life, assessed with the modified PQ-LES-Q 22 rated on a VAS 0-100 scale, plus global physical health, global mental health, and global health and parentally rated C-GAS 21 and PQ-LES-Q. 22 .

Secondary outcomes include frustration, anger, boredom, as well as suicidality (suicidal thoughts and attempts), number of episodes witnessing, enduring, or perpetrating aggressive behavior, substance abuse (alcohol, cannabinoids, others), gambling. COH-FIT also measures daily screen activities (social media use, gaming, watching TV or movies), as well as satisfaction with relationships and daily routine within the family, and how the child gets along with friends. Prosocial activities and resilience are further outcomes of interest. Coping strategies are ranked by the respondent by importance for successfully dealing with the coronavirus breakout. Ease and modality of access to care, and access and adherence to medications are also asked. In addition to analyzing the child's responses by themselves, we will also compare the child's and parental ratings on the difference in PQ-LES-Q.

Adolescents aged 14 to 17 can participate in COH-FIT-AD.

Co-primary outcomes of COH-FIT-AD are well-being, measured with WHO-5 23 as in COH-FIT-C, and a composite psychopathology measure, "AD-P-Score" that is composed of the same items composing the coprimary P-Score outcome in adults (COH-FIT-A). 24 Briefly, domains composing the P-score in COH-FIT-A were selected based on their correlation with the respective full validated questionnaires (Pearson correlation threshold r≥0.5), among anxiety, depression, post-traumatic symptoms, psychosis, mania, obsessivecompulsive symptoms, stress, sleep, and concentration.

Key secondary outcomes are AD-P-Extended Score, which is composed of the same items composing the P-Extended Score in adults, and precisely of AD-P-Score plus items not correlating enough to make it to P-Score, plus helplessness, loneliness, anger, obsessive-compulsive symptoms, and manic symptoms. Other key secondary outcomes are global physical health, global mental health, global health, as well as parentally rated C-GAS 21 and PQ-LES-Q. 22 Secondary outcomes are individual psychopathology domains (anxiety, depression, post-traumatic, obsessive-compulsive, manic symptoms, mood swings, delusions, hallucinations), as well as panic, and sleep problems. Other secondary outcomes include self-injurious behaviors and suicidality (suicidal thoughts/attempts), number of episodes witnessing, enduring or perpetrating aggressive behaviors, other psychological experiences (helplessness, fear of infection, boredom, frustration, stress, cognition, anger, loneliness, substance use), other (gambling) addictive behaviors, as well as family, interpersonal, self-care functioning, social interactions, hobbies/free-time, work/school functioning, body mass index, pain, resilience, social altruism, and other daily behaviors (e.g., time spent on social media, internet, gaming, watching TV, reading, listening to music) and exercising. Ease and modality of access to care, adherence and access to medications are also asked.

Analyses will be run with STATA 25 and/or R (https://www.R-project.org) 26 with α<0.05. A detailed description of the general analytic plan is available elsewhere. 24 In addition to analyzing the child's/adolescent's responses, we will also compare the child's/adolescent's self-ratings on the PQ-LES-Q with the parental ratings of the child/adolescent and, in those who provided a household code, compare results across family members.

Briefly, to maximize representativeness of the estimates, weighting procedures will be applied. Within each country, estimates will be weighted according to official representative quota of age and sex (https://population.un.org/wpp/Download/Standard/Population). Furthermore, an additional adjustment factor will be considered in key secondary outcomes by continent analyses, which will be derived by the direct comparison of representative vs non-representative estimates at continent level.

Moreover, in analyses where countries are pooled together, each country will be assigned an adjustment factor accounting for the responses/country population ratio.

The association between explanatory factors and co-primary, key secondary, and secondary outcomes will be tested with multivariable linear or logistic regression analyses (depending on outcome of interest). Backward model selection and/or LASSO will be used to select the best multivariable model 27 , together with literaturebased relevant factors. Analyses will also account for date/country matched COVID-19 metrics made available by Johns Hopkins University, 1 and restriction information drawn from survey responses and/or national/regional databases.

Finally, alternative analytic strategies will be implemented according to hypotheses to be tested.

Among strengths of COH-FIT are the many languages the survey is available in, collecting data also from linguistic and ethnic minorities, ensuring inclusivity. Also, collecting data in several countries across different continents allows to compare countries among each other as well as providing a global picture.

Furthermore, COH-FIT assesses a wide spectrum of outcomes, going beyond mental health and has a 3-wave design, collecting also long-term data, as well as longitudinal data at the population level, despite being a cross-sectional survey. More specifically, the multi-wave design together with the continuous data collection during the entire duration of the pandemic until it is declared over by the World Health organization in wave 1, and for 12 months each in waves 2 and 3, as well as the retrospective assessment of health and functioning during the last two weeks of respondents' regular life before the pandemic can provide information on the longitudinal course of health and functioning at the population level. Main limitations include its crosssectional design at the individual level, reliance on self-reports, limited parental report, and optional creation of the household survey that allows family-based analyses.

Up to June 14th, 2021, overall 13,149 children and adolescents have participated in the survey (5,781children, 7,278 adolescents). Of these, 9,155were recruited via representative sampling Such preliminary participation findings are of relevance when compared with the currently published literature on mental health outcomes of children and adolescents during the pandemic. A recent systematic review identified only 12 studies, reporting on a total of 12,262 children and adolescents, from China (seven studies), Italy (two studies), Poland, Turkey, and United States (one study each) 28 . Overall, COH-FIT seems to be a unique resource to collect global evidence on health and functioning of children and adolescents during the pandemic, both in non-representative and representative samples.

Given the magnitude and reach of the global psychosocial stressor that the COVID-19 pandemic represents, understanding and mitigating the adverse effect of the pandemic on the health and well-being of youth is crucial. The COH-FIT project is well-suited to provide an international estimate of the impact of COVID-19 on children's, adolescents' and families' mental and physical health, well-being, functioning and quality of life. Such much needed data can inform the formulation of present and future evidence-based interventions and policies to minimize detrimental effects of the present and future pandemics on youth.

All conflict of interest statements of all authors are detailed below in supplementary Table 1 . 

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Figure 1. COH-FIT-Adolescents and COH-FIT-Children survey flow

Brief Resilience Scale 30 ; CGAS, Children's Global Assessment Scale 21

Obsessive Compulsive Disorder; PCL-5, PTSD Checklist for DSM-5 17 ; PHQ-9, Patient Health Questionnaire 9-item scale 31 ; PQ-LES-Q, Pediatric Quality of Life Enjoyment and Satisfaction Questionnaire 22

Traumatic Stress Disorder; SBQ-R, Suicidal Behaviors Questionnaire-Revised 32

All authors thank all respondents who took the survey so far, funding agencies and all professional and scientific national and international associations supporting or endorsing the COH-FIT project.Funding is detailed in supplementary Table 2 .