Prevalence and Correlates of Physical-mental Multimorbidity in Outpatient Children From a Pediatric Hospital in Canada

P factor in children with chronic physical illness

BACKGROUND

The p factor represents the overall liability for the development of mental illness. While evidence supporting the p factor in adults has been reported, studies in children are fewer, and none have examined the p factor in children with chronic physical illness (CPI).

OBJECTIVE

We aimed to model the p factor in a longitudinal sample of children with CPI using a parent-reported checklist and examine its construct validity against a structured diagnostic interview.

METHODS

We used data from 263 children aged 2-16 years diagnosed with a CPI who were enrolled in the Multimorbidity in Children and Youth across the Life-course (MY LIFE) study. The p factor was modelled using the Emotional Behavioural Scales over 24 months using confirmatory factor analysis. Validation of the p factor was set against the Mini International Neuropsychiatric Interview for Children and Adolescents.

RESULTS

Factorial evidence supported the p factor, modelled using a bi-factor structure, compared to a standard correlated-factors (i.e., two-factor) structure [Δχ2 = 9.66(4), p = 0.047]. p factor scores were correlated with the number of different mental illness diagnoses (r = 0.71) and total number of diagnoses (r = 0.72). Dose-response relationships were shown for the number of different diagnoses (p < 0.001) and total number of diagnoses (p < 0.001).

CONCLUSION

In this first study of the p factor in children with CPI, we showed evidence of its bi-factor structure and associations with mental illness diagnoses. Mental comorbidity in children with CPI is pervasive and warrants transdiagnostic approaches to integrated pediatric care.

An Epidemiological Study of Physical-Mental Multimorbidity in Youth: Une étude épidémiologique de la morbidité physique-mentale chez les jeunes

OBJECTIVE

This epidemiological study estimated the lifetime prevalence of chronic physical illness (i.e., an illness that lasted or was expected to last ≥6 months) and 6-month prevalence of mental disorder and multimorbidity (i.e., ≥1 physical illness and ≥1 mental disorder) in youth. Associations between physical illness and mental disorder were quantified, including the number of illnesses. Secondary objectives examined factors associated with mental disorder, after controlling for physical illness.

METHODS

Data come from 10,303 youth aged 4-17 years in the 2014 Ontario Child Health Study (OCHS). Physical illness was measured using a list of chronic conditions developed by Statistics Canada. Mental disorders were measured using the OCHS Emotional Behavioural Scales. The Health Utility Index Mark III assessed overall functional health.

RESULTS

Weighted prevalence estimates showed 550,090 (27.8%) youth had physical illness, 291,986 (14.8%) had mental disorder, and 108,435 (5.4%) had multimorbidity. Physical illness was not associated with mental disorder. However, youth with 2 physical illnesses, as compared to no physical illnesses, had increased odds of having any mental (OR = 1.75 [1.08, 2.85]), mood (OR = 2.50 [1.39, 4.48]) and anxiety disorders (OR = 2.40 [1.33, 4.31]). Mean functional health scores demonstrated a dose-response association across health status categories, with the highest scores among healthy youth and the lowest scores among multimorbid youth (all p < .05).

CONCLUSION

Chronic physical illness and mental disorders are prevalent in youth. Youths with 2 physical illnesses have a higher likelihood of mental disorders. Higher functional health scores protected against all mental disorders. Mental health interventions for youth should promote strong overall functional health.

Suicidal Ideation and Attempts Among Youth With Physical-Mental Comorbidity in Canada: Proposal for an Epidemiological Study

BACKGROUND

Evidence suggests that having a chronic physical illness (CPI; eg, asthma, diabetes, and epilepsy) is an independent risk factor for suicidality (ie, suicidal ideation or attempts) among youth. Less is known about the mechanisms linking CPI and suicidality. Some evidence suggests that mental illness (eg, depression and anxiety) or neurodevelopmental disorder (eg, attention-deficit/hyperactivity disorder) mediates or moderates the CPI-suicidality association. Missing from the knowledge base is information on the association between having co-occurring CPI and mental illness or neurodevelopmental disorder (MIND) on youth suicidality.

OBJECTIVE

This study uses epidemiological data from the 2019 Canadian Health Survey of Children and Youth (CHSCY) to study the intersection of CPI, MIND, and suicidality in youth. We will estimate prevalence, identify predictors, and investigate psychosocial and service use outcomes for youth with CPI-MIND comorbidity versus other morbidity groups (ie, healthy, CPI only, and MIND only).

METHODS

Conducted by Statistics Canada, the CHSCY collected data from 47,850 children (aged 1-17 years) and their primary caregiving parent. Measures of youth CPI, MIND, family environment, and sociodemographics are available using youth and parent informants. Information on psychiatric services use is available via parent report and linkage to national administrative health data found in the National Ambulatory Care Reporting System and the Discharge Abstract Database, which allow the investigation of hospital-based mental health services (eg, emergency department visits, hospitalizations, and length of stay in hospital). Questions about suicidality were restricted to youths aged 15-17 years (n=6950), which form our analytic sample. Weighted regression-based analyses will account for the complex survey design.

RESULTS

Our study began in November 2023, funded by the American Foundation for Suicide Prevention (SRG-0-008-22). Access to the linked CHSCY microdata file was granted in May 2024. Initial examination of CHSCY data shows that approximately 20% (1390/6950) of youth have CPI, 7% (490/6950) have MIND, 7% (490/6950) seriously considered suicide in the past year, and 3% (210/6950) had attempted suicide anytime during their life.

CONCLUSIONS

Findings will provide estimates of suicidality among youth with CPI-MIND comorbidity, which will inform intervention planning to prevent loss of life in this vulnerable population. Modeling correlates of suicidality will advance understanding of the relative and joint effects of factors at multiple levels-information needed to target prevention efforts and services. Understanding patterns of psychiatric service use is vital to understanding access and barriers to services. This will inform whether use matches need, identifying opportunities to advise policy makers about upstream resources to prevent suicidality. Importantly, findings will provide robust baseline of information on the link between CPI-MIND comorbidity and suicidality in youth, which can be used by future studies to address questions related to the impact of the COVID-19 pandemic and associated countermeasures in this vulnerable population of youth.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/57103.

Validating the Ontario Child Health Study Emotional Behavioural Scales-Brief Version (OCHS-EBS-B) in children with chronic physical illness

BACKGROUND

A substantial proportion of children have a physical illness; these children commonly experience physical-mental comorbidity. To assess child mental health, brief scales that can be used in clinical and research settings are needed. This study assessed the validity and reliability of parent-reported Ontario Child Health Study Emotional Behavioural Scale-Brief Version (OCHS-EBS-B) scores.

METHODS

Data come from a longitudinal study of children aged 2-16 years with a physical illness recruited from outpatient clinics at a pediatric hospital. Confirmatory factor analysis and McDonald's coefficient assessed the factor structure and internal consistency reliability of the OCHS-EBS-B, respectively. Point biserial correlations assessed agreement between the OCHS-EBS-B and Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID), a structured diagnostic interview. The Wilcoxon rank sum test compared OCHS-EBS-B scores between children with versus without physical-mental comorbidity (known-group validity).

RESULTS

The three-factor structure of the OCHS-EBS-B was replicated in this sample of children with physical illness (χ2 = 196.23(272), p < 0.001; CFI = 0.98; TLI = 0.98; SRMR = 0.06; RMSEA [90% CI] = 0.034 [0.027, 0.044]). It had excellent internal consistency reliability (ω = 0.86-0.92) and was moderately correlated with the MINI-KID (baseline: rpb = 0.43-0.51; 6 months: rpb = 0.55-0.65). OCHS-EBS-B scores were significantly higher among children with versus without physical-mental comorbidity.

CONCLUSIONS

Findings confirm psychometric evidence that the OCHS-EBS-B is a valid and reliable measure of mental health in children with chronic physical illness. Its brevity and robust psychometric properties make the OCHS-EBS-B a strong candidate for routine use in integrated pediatric physical and mental health services.

Continuity of mental disorders in children with chronic physical illness

Data on the chronicity of mental disorder in children with chronic physical illness (CPI) are limited. We examined the prevalence and predictors of homotypic and heterotypic continuity of mental disorder in children with CPI. A sample of 263 children aged 2-16 years with physician-diagnosed CPI were recruited from outpatient clinics (e.g., dermatology, respiratory) at a Canadian pediatric academic hospital and followed for 24 months. Parent and child-reported mental disorders (mood, anxiety, behavioral, attention-deficit hyperactivity disorder [ADHD]) were assessed using the Mini International Neuropsychiatric Interview for Children and Adolescents at baseline, 6, 12, and 24 months. Marginal regression models were computed to identify clinical, parent, and demographic factors associated with mental comorbidity over time. Mental disorder was observed in 24-27% of children with CPI based on child reports and 35-39% based on parent reports. Parent-reported models revealed significant homotypic continuity for all mental disorders (ORs = 4.2-9.5), and heterotypic continuity between mood and anxiety disorders (OR = 2.2), ADHD and behavioral disorders (OR = 5.1), and behavioral and each mental disorder (ORs = 6.7-8.4). Child-reported models revealed significant homotypic continuity for mood (OR = 8.8) and anxiety disorder (OR = 6.0), and heterotypic continuity between anxiety and mood disorders (OR = 12.4). Child disability (ORs = 1.3-1.5) and parent psychopathology (ORs = 1.2-1.8) were the most consistent predictors of both child- and parent-reported mental disorder over time. Mental comorbidity was prevalent and persistent in children with CPI with homotypic and heterotypic continuity common across informants. Child disability and parent psychopathology may be priority targets within integrated family-centered models of care to prevent mental comorbidity in children with CPI.

Low Level of Well-being in Young People With Physical-Mental Multimorbidity: A Population-Based Study

PURPOSE

We aimed to examine whether wellbeing, health behavior, and youth life among young people (YP) with co-occurrence of physical-mental conditions, that is, multimorbidity differ from YP with exclusively physical or mental conditions.

METHODS

The population included 3,671 YP reported as having a physical or/and mental condition from a Danish nationwide school-based survey (aged 14-26 years). Wellbeing was measured by the five-item World Health Organization Well-Being Index and life satisfaction by the Cantril Ladder. YP's health behavior and youth life were evaluated in seven domains: home, education, activities/friends, drugs, sleep, sexuality, and self-harm/suicidal thoughts, in accordance with the Home, Education and employment, Eating, Activities, Drugs, Sexuality, Suicide and depression, and Safety acronym. We performed descriptive statistics and multilevel logistic regression analysis.

RESULTS

A total of 52% of YP with physical-mental multimorbidity reported a low level of wellbeing, compared to 27% of YP with physical conditions and 44% with mental conditions. YP with multimorbidity had significantly higher odds of reporting poor life satisfaction, compared to YP with exclusively physical or mental conditions. YP with multimorbidity had significantly higher odds for psychosocial challenges and health risk behavior, compared to YP with physical conditions, along with increased odds for loneliness (23.3%), self-harm (63.1%), and suicidal thoughts (54.2%), compared to YP with mental conditions.

DISCUSSION

YP with physical-mental multimorbidity had higher odds for challenges and low wellbeing and life satisfaction. This is an especially vulnerable group and systematic screening for multimorbidity and psychosocial wellbeing is needed in all healthcare settings.

Longitudinal Association Between Youth Multimorbidity and Psychological Distress: Impact of the COVID-19 Pandemic

This research examined longitudinal associations between youth physical-mental multimorbidity and psychological distress before and during the COVID-19 pandemic; assessed the contextual impact of the pandemic on these associations; and, investigated potential moderating factors. The Multimorbidity in Youth across the Life-course, an ongoing study of youth aged 2-16 years (mean 9.4; 46.9% female) with physical illness, was used as the sampling frame for this COVID-19 sub-study, in which 147 parent-youth dyads participated. Psychological distress was measured using the Kessler-6 (K6). Multimorbidity was associated with higher pre-pandemic, but not with intra-pandemic distress. Disability moderated pre-pandemic distress-multimorbidity was associated with higher K6 among youth with high disability, but not among youth with low disability. Age moderated intra-pandemic distress-multimorbidity was associated with higher K6 in older youth, but not among younger youth.

Self-concept in Adolescents with Physical-Mental Comorbidity

Objective

Little is known about self-concept in adolescents with physical-mental comorbidity. This study investigated whether physical-mental comorbidity was associated with self-concept in adolescents and examined if adolescent age or sex moderated the association between physical-mental comorbidity and self-concept.

Methods

Study data were obtained from the Multimorbidity in Youth across the Life-course (MY LIFE), an ongoing Canadian study of adolescents with chronic physical illness who were recruited from outpatient clinics at a pediatric hospital. A total of 116 adolescents aged ≥ 10 years provided self-reports on key measures.

Results

Adolescents with comorbidity (n = 48) had lower self-concept scores on the Self-Determination Questionnaire (SDQ; d = 0.62) and Self-Perception Profile for Children (SPPC; d = 0.53) vs. adolescents without comorbidity (n = 68). An age × comorbidity status interaction was found and age-stratified models were computed to investigate this moderating effect of age. Amongst older adolescents, comorbidity was associated with lower SDQ (B = -2.55, p < .001), but this association was not found among younger adolescents (B = -0.29, p = .680). A similar effect was found for SPPC among older (B = -0.48, p = .001) and younger adolescents (B = 0.03, p = .842). Adolescent sex was not found to be a moderator.

Conclusions

Physical-mental comorbidity in adolescence was associated with lower self-concept and this association was moderated by age-differences between adolescents with vs. without comorbidity were greater for older adolescents and were clinically relevant. Opportunities to support positive self-perceptions for adolescents with comorbidity are warranted, especially when planning the transition from pediatric to adult health services.

Children and adolescents are not small adults: towards a better understanding of multimorbidity in younger populations

Multimorbidity is of increasing importance for the health of both children and adults but research has hitherto focused on adult multimorbidity. Hence, public awareness, practice and policy lack vital information about multimorbidity in childhood and adolescence. We convened an international and interdisciplinary group of experts from six nations to identify key priorities supported by published evidence to strengthen research for children and adolescent with multimorbidity. Future research is encouraged 1) To develop a conceptual framework to capture unique aspects of child and adolescent multimorbidity - including definitions, characteristic patterns of conditions for different age groups, its dynamic nature through childhood and adolescence and understanding of severity and trajectories for different clusters of multiple chronic conditions, 2) To define new indices to classify the presence of multimorbidity in children and adolescents, 3) To improve the availability and linkage of data across countries, 4) To synthesize evidence on the global phenomenon of multimorbidity in childhood and adolescence as well as health inequalities, 5) To involve children and adolescents in research relevant to their health.

Correlates of Moderate-to-Vigorous Physical Activity in Children With Physical Illness and Physical-Mental Multimorbidity

This study measured physical activity (PA) and explored its correlates among children with multimorbidity (co-occurring chronic physical and mental illness; MM) versus those with chronic physical illness only (PI). This study used baseline data from the Multimorbidity in Children and Youth Across the Life Course (MY LIFE) study, an on-going cohort study following 263 children with a PI 2 to 16 years of age (mean age: 9.8 years, SD = 4.0; 47.7% female). PA was measured using accelerometry, and demographic and psychosocial variables were collected using questionnaires. Of the 55 children with MM and the 85 with PI with valid accelerometer data, 38.1% and 41.2%, respectively, met average daily PA guidelines. Correlates of moderate-to-physical PA (MVPA) among children with MM were age, ρ(53) = -0.45, p = .001, body mass index (BMI), ρ(48) = -0.28, p = .04, self-perceived behavioral conduct, ρ(24) = -0.45, p = .02, physical health-related quality of life, ρ(51) = 0.56, p < .001, and peer support, ρ(52) = 0.27, p = .04. Correlates of MVPA among children with PI were age, ρ(83) = -0.40, p < .001, sex, ρ(83) = -0.26, p = .01, self-perceived social competence, ρ(31) = 0.42, p = .02, self-perceived athletic competence, ρ(31) = 0.48, p = .005, physical health-related quality of life, ρ(83) = 0.34, p = .001, participation in community sport, ρ(31) = 0.41, p = .02, and family functioning, ρ(83) = 0.26, p = .02. These results demonstrate that children with PI and MM are insufficiently active and their PA is correlated with demographic and psychosocial factors.

Psychometric Properties of the Short Form-36 (SF-36) in Parents of Children with Mental Illness

Given the stressful experiences of parenting children with mental illness, researchers and health professionals must ensure that the health-related quality of life of these vulnerable parents is measured with sufficient validity and reliability. This study examined the psychometric properties of the SF-36 in parents of children with mental illness. The data come from 99 parents whose children were currently receiving mental health services. The correlated two-factor structure of the SF-36 was replicated. Internal consistencies were robust (α > 0.80) for all but three subscales (General Health, Vitality, Mental Health). Inter-subscale and component correlations were strong. Correlations with parental psychopathology ranged from r = −0.32 to −0.60 for the physical component and r = −0.39 to −0.75 for the mental component. Parents with clinically relevant psychopathology had significantly worse SF-36 scores. SF-36 scores were inversely associated with the number of child diagnoses. The SF-36 showed evidence of validity and reliability as a measure of health-related quality of life in parents of children with mental illness and may be used as a potential outcome in the evaluation of family-centered approaches to care within child psychiatry. Given the relatively small sample size of this study, research should continue to examine its psychometric properties in more diverse samples of caregivers.