Measuring depression in adolescence: Evaluation of a hierarchical factor model of the Children's Depression Inventory and measurement invariance across boys and girls

Gender, age, and longitudinal measurement invariance of child and adolescent depression scales: A systematic review

Understanding developmental trajectories and gender differences in depressive symptoms is clinically relevant. Discerning true differences across gender, age groups, and time is based on the often-neglected premise of measurement invariance (MI) of child and adolescent depression scales. In this systematic review, we assessed available evidence for MI across gender, age groups, and time for depression scales validated in children and adolescents, in studies with at least one assessment under age 18. A literature search using Medline, PsychInfo, Scopus, Web of Science, and Google Scholar databases identified 42 studies that examined MI. MI of eleven scales was tested in 1-9 studies per scale. Conclusions are hampered by different factor solutions tested within some scales. All included questionnaires showed preliminary evidence for MI across gender. Across some studies, crying had higher factor loadings in females compared to males, indicating that crying may be differently related to depression across gender. MI evidence was preliminary in just four scales across time, mostly confined to ages 13-17. One study showed developmental conclusions differed when non-invariance is not accounted for in observed scores. Overall, evidence for MI in child and adolescent depression scales is currently limited.

Change Score and Subscore Precision and Reliability of the Children's Depression Inventory

The Child Depression Inventory (CDI) is often used to assess change in depression over time, but no studies estimate the reliability of CDI change scores nor its five subscores. Our study investigated the reliability of change scores for both the total score on the CDI as well as its five subscores. We examined CDI responses from 186 maltreated children and estimated change score reliability for relative (e.g., comparison) and absolute (e.g., diagnosis) purposes. We also conducted subscore utility analysis, which determines if subscores have adequate reliability and provide information beyond the total score. We found that the total change score had acceptable reliability of .70 for our sample for both relative and absolute interpretations. In addition, the total score was a better predictor of true subscore values than the observed subscores-suggesting subscores did not add value over the total score, and that the reliability of changes in subscores was too low to be useful for any purpose. In summary, we found that the total CDI change scores were useful for assessing change in studies that examine relative or absolute change, and we advise caution when interpreting CDI subscores based on our analysis.

Is there really a healthy context paradox for victims of bullying? A longitudinal test of bidirectional within-and between-person associations between victimization and psychological problems

The finding that victims' psychological problems tend to be exacerbated in lower-victimization classrooms has been referred to as the "healthy context paradox." The current study has put the healthy context paradox to a strict test by examining whether classroom-level victimization moderates bidirectional within- and between-person associations between victimization and psychological adjustment. Across one school year, 3,470 Finnish 4th to 9th graders (Mage = 13.16, 46.1% boys) reported their victimization, depressive symptoms, anxiety, and self-esteem. Three types of multilevel models (cross-lagged panel, latent change score, and random-intercept cross-lagged panel) were estimated for each indicator of psychological adjustment. Findings indicated that the healthy context paradox emerges because classroom-level victimization moderates the prospective effect of victimization on psychological problems, rather than the effect of psychological problems on victimization. In classrooms with lower victimization, victims not only experience worse psychological maladjustment over time compared to others (between-person changes), but also higher maladjustment than before (absolute within-person changes).

Validating the Children's Depression Inventory-2: Results from the Growing Up in Singapore Towards Healthy Outcomes (GUSTO) study

Childhood-onset depression has adverse consequences that are sustained into adulthood, which increases the significance of detection in early childhood. The Children's Depression Inventory (CDI) is used globally in evaluating depressive symptom severity in adolescents, and its second version, the CDI-2, was developed by taking into account advances in childhood depression research. Prior research has reported inconsistencies in its factor structure across populations. In addition, the CDI-2 has not yet been empirically validated with Southeast Asian populations. This study sought to empirically validate the CDI-2's psychometric properties and evaluate its factorial structure with a Singaporean community sample of non-clinical respondents. A total sample of 730 Singaporean children aged between 8.5 and 10.5 years was used. Psychometric properties of the CDI-2, including internal consistency as well as convergent and discriminant validity, were assessed. Factor analyses were conducted to assess the developers' original two-factor structure for a Southeast Asian population. This two-factor structure was not supported in our sample. Instead, the data provided the best fit for a hierarchical two-factor structure with factors namely, socio-emotional problems and cognitive-behavioural problems. This finding suggests that socio-cultural and demographic elements influence interpretation of depressive symptoms and therefore the emerging factor structure of the construct under scrutiny. This study highlights the need to further examine the CDI-2 and ensure that its interpretation is culture-specific. More qualitative work could also bring to light the idiosyncratic understanding of depressive symptomatology, which would then guide culture-specific validation of the CDI-2.

Characterizing Sleep Phenotypes in Children With Newly Diagnosed Epilepsy

BACKGROUND

Children with epilepsy frequently have sleep, behavior, and cognitive problems at the time of or before the epilepsy diagnosis. The primary goal of this study was to determine if specific sleep disturbance phenotypes exist in a large cohort of children with new-onset epilepsy and if these phenotypes are associated with specific cognitive and behavioral signatures.

METHODS

A total of354 children with new-onset epilepsy, aged six to 16 years, were recruited within six weeks of initial seizure onset. Each child underwent evaluation of their sleep along with self, parent, and teacher ratings of emotional-behavioral status. Two-step clustering using sleep disturbance (Sleep Behavior Questionnaire), naps, and sleep latency was employed to determine phenotype clusters.

RESULTS

Analysis showed three distinct sleep disturbance phenotypes-minimal sleep disturbance, moderate sleep disturbance, and severe sleep disturbance phenotypes. Children who fell into the minimal sleep disturbance phenotype had an older age of onset with the best cognitive performance compared with the other phenotypes and the lowest levels of emotional-behavioral problems. In contrast, children who fell into the severe sleep disturbance phenotype had the youngest age of onset of epilepsy with poor cognitive performance and highest levels of emotional-behavioral problems.

CONCLUSIONS

This study indicates that there are indeed specific sleep disturbance phenotypes that are apparent in children with newly diagnosed epilepsy and are associated with specific comorbidities. Future research should determine if these phenotypic groups persist over time and are predictive of long-term difficulties, as these subgroups may benefit from targeted therapy and intervention.

Screening for depressive symptoms in adolescence: A Rasch analysis of the short-form childhood depression inventory-2 (CDI 2:SR[S])

BACKGROUND

Screening for depressive symptoms during adolescence is of high clinical significance. The shorter 12-item version of the Children's Depression Inventory (CDI 2:SR[S]) was specifically developed for this purpose. Evaluations of the CDI 2:SR[S] psychometrics are limited, however. The purpose of this study was to validate the CDI 2: SR[S] for use as a screening measure using Rasch analysis.

METHODS

The CDI 2: SR[S] was administered online to 1513 10-17 year old Western Australian adolescents (635 males, 878 females) from 11 schools. Overall fit, individual item fit, local response dependence, dimensionality, operation of response categories, and differential item functioning (DIF) were examined.

RESULTS

The Rasch analysis demonstrated the CDI 2: SR[S] has good reliability. Thresholds for all items were ordered, showing its three response categories functioned as intended. One item (I have to push myself to do schoolwork) showed misfit. No items were locally dependent. Two items (I am sad) and (I have to push myself to do schoolwork) showed DIF for gender. At the same level of depression, females reported being sad more than males, while males pushed themselves more to do schoolwork than did females. Adolescents (14-17 years) reported significantly higher mean depressive symptom scores than early adolescents (10-13 years).

LIMITATIONS

Sole reliance on adolescent's self-report and limited data about cultural backgrounds are limitations.

CONCLUSIONS

The results support the interval scale measurement properties of the CDI 2: SR[S] and provides educators, clinicians and researchers with a screening measure to assess depressive symptoms in adolescents.

The Relationship Between Sleep, Cognition and Behavior in Children With Newly-Diagnosed Epilepsy Over 36 Months

Introduction

There is substantial evidence that children with epilepsy experience more sleep, behavior and cognitive challenges than children without epilepsy. However, the literature is limited in describing the relationship between sleep, epilepsy, cognition and behavioral challenges and the interactions amongst these factors over time. This study aims to understand the nature and strength of the relationship between sleep, cognition, mood and behavior in children with new-onset epilepsy as assessed by multiple informants at multiple time periods using multiple different dependent measures.

Methods

332 participants (6-16years) were recruited within 6 weeks of their first recognized seizure. The comparison group was comprised of 266 healthy siblings. Participants underwent sleep evaluation by a parent using the Sleep Behavioral Questionnaire (SBQ), cognitive evaluation using a comprehensive neuropsychological test battery, a behavioral evaluation using the Child Behavior Checklist (CBCL from parents and TRF from teachers) and the Children's Depression Inventory (CDI). These evaluations were completed at baseline (B), at 18 months, and at 36 months.

Results

Compared to siblings, children with new-onset epilepsy had more sleep disturbance (SBQ), higher rates of behavioral problems (CBCL and TRF), lower cognitive testing scores, and higher rates of depression; which persisted over the 36-month study. Sleep significantly correlated with behavioral problems, cognitive scores and depression. When divided into categories based of sleep disturbance scores, 39.7% of children with epilepsy experienced "Persistently Abnormal Sleep", while 14.8% experienced "Persistently Normal Sleep". Children with persistently abnormal sleep experienced the highest rates of behavioral problems, depression and cognitive impairment compared to those with persistently normal sleep, regardless of epilepsy syndrome. Younger age of seizure onset, younger age at testing, and lower grade level at baseline were associated with persistently abnormal sleep.

Conclusions

To our knowledge, this is the first demonstration of the nature, strength, reliability, stability and persistence of the relationship between sleep, cognition, and behavioral problems over time in a large cohort of children with newly diagnosed epilepsy, as assessed by multiple informants at different timepoints. The results of this study indicate that children with epilepsy are at a high risk of significant persisting neurobehavioral multimorbidity. Therefore, early screening for these challenges may be essential for optimizing quality of life long-term.

Prevalence of depression and anxiety among children with type 1 and type 2 diabetes: a systematic review and meta-analysis

BACKGROUND

Evaluation of psychiatric disorders in children is essential in timely treatment. Despite individual studies, there is no information on the exact status of psychiatric disorders in children. The present study was conducted to determine the prevalence of depression among children with type 1 and type 2 diabetes.

METHODS

This meta-analysis is registered with PROSPERO (CRD42021231491). Several databases (Web of Science, Scopus, and PubMed) were searched from January 1, 2000 to December 15, 2020. The key words included: depression, anxiety, children, and diabetes. The steps of search, comprising screening, risk of bias, and extraction of study data, were performed separately by two researchers.

RESULTS

It was found that a total of 109 studies had been conducted involving 52,493 children with type 1 and type 2 diabetes. These studies were included in the present review study. The prevalence of depression, anxiety among children with type 1 diabetes were 22.2% [95% confidence interval (CI) 19.2-25.2], and 17.7% (95% CI 15.2-20.1), respectively. The prevalence of depression was higher among girls (29.7%) than boys (19.7%). The prevalence of depression was higher in lower-middle-income countries at 29.3% (95% CI 18.6-40.0). The prevalence of depression among children with type 2 diabetes was 22.7% (95% CI 17.3-28.0).

CONCLUSION

The results of the present study indicate the importance of paying attention to extensive periodic screening and appropriate activities to reduce pediatric depression.

Blunted Flanker P300 Demonstrates Specificity to Depressive Symptoms in Females during Adolescence

Recent research suggests that depressive disorders in adults are characterized by reductions in flanker P300 amplitude, and that a reduced flanker P300 may also predict worst depressive trajectories over time. The current study extended this work to adolescence-and to evaluate the specificity of the relationship between flanker P300 to depressive symptoms versus anxiety symptoms, and whether the association between flanker P300 and depressive symptoms was moderated by biological sex. To this end, P300 amplitude, depression, anxiety, and sex were assessed in a large sample of 619 adolescents aged 11 to 14. Participants completed a speeded response flanker task while EEG was recorded, as well as self-reported measures of current depression and anxiety symptoms. Reduced P300 amplitude was related to both heightened depression and anxiety symptoms in zero-order correlations. Regression-based analyses suggest that reduced P300 was uniquely related to depressive symptoms. Furthermore, this negative association between P300 and depression was apparent in female adolescents, but not male adolescents. In sum, the current study suggests that flanker P300 amplitude may potentially serve as a neural marker specific to depression in females during adolescence.