Reliability and Validity of Preschool Feelings Checklist

Dimensions of Depressive Symptoms in Young Children: Factor Analysis of the Preschool Feelings Checklist-Scale

The current study is an investigation of the dimensionality of the Preschool Feelings Checklist-Scale (PFC-S), a caregiver-report questionnaire of early childhood depressive symptom severity. Caregivers of 450 young children, ages 3-8 years (M = 5.62, SD = 0.95; 49% female; 7% Hispanic; 66% White), completed the PFC-S and questionnaires on child emotion regulation and expression and self-reported depressive symptomatology. Confirmatory factor analyses indicated that a one-factor structure did not adequately fit the current PFC-S data. Using exploratory factor analysis, a three-factor structure emerged as interpretable and structurally sound, yielding reliable factors related to social and behavioral anhedonia, emotional and behavioral dysregulation, and excessive guilt and sadness. This factor structure showed configural and scalar invariance across preschool-aged and early middle childhood-aged children as well as children assigned male and female sex at birth. Correlations between the three factors and constructs related to depression suggested preliminary construct validity. The current study provides initial evidence for a multidimensional structure of the PFC-S and improves our understanding of early childhood depressive symptoms.

Measurement-Based Care for Depression in Youth: Practical Considerations for Selecting Measures to Assess Depression, Associated Features and Functioning

Identification and management of major depressive disorder (MDD) in children and adolescents remains a significant area of public health need. The process for identifying depression (e.g. screening) and management (e.g. measurement based care [MBC]) is substantially enhanced by utilization of clinical measures and rating scales. Measures can be self- or caregiver reported or clinician rated. They can aid recognition of at-risk individuals for future assessment and assist in clinical diagnosis and management of depression. In addition to assessing symptoms of depression, rating scales can be used to assess important associated features (e.g. anxiety, trauma) and functional outcomes (e.g. quality of life, performance/productivity). In this manuscript, we discuss practical considerations for clinicians and researchers when selecting rating instruments for assessing depression, associated factors, functioning, and treatment outcomes (i.e. adherence and side effects) as part of MBC in youth and provide a summary of rating scales commonly used in research and clinical settings.

Associations between pre-pandemic authoritative parenting, pandemic stressors, and children's depression and anxiety at the initial stage of the COVID-19 pandemic

Large-scale changes due to the Novel Coronavirus (COVID-19) pandemic negatively affected children's mental health. Prior research suggests that children's mental health problems during the pandemic may have been concurrently attenuated by an authoritative parenting style and exacerbated by family stress. However, there is a gap in the literature investigating these mechanisms and whether pre-pandemic authoritative parenting had a lasting positive influence on children's mental health while they were exposed to pandemic-related family stressors. The current study begins to fill this gap by investigating these unique relationships in a sample of 106 4-8 year old children (51% female). Before the pandemic, caregivers completed questionnaires on their parenting style and their children's depression and anxiety symptoms. Shortly after the onset of COVID-19's stay-at-home mandate, parents answered questionnaires about their children's depression and anxiety symptoms and pandemic-related family stressors. Child depression and anxiety symptom severity increased. Higher levels of pandemic-related family stress were associated with increases only in child anxiety scores. Further, greater endorsement of a pre-pandemic authoritative parenting style was associated with smaller changes only in child depression scores. Study findings elucidate unique and complex associations between young children's anxiety and depression symptoms severity and pre-pandemic parenting and pandemic-related family stressors.

A Brief Early Childhood Screening Tool for Psychopathology Risk in Primary Care: The Moderating Role of Poverty

OBJECTIVES

To evaluate the Preschool Feeling Checklist (PFC) utility for predicting later mental disorders and functioning for children and assess whether the PFC's predictive utility differs as a function of childhood poverty.

STUDY DESIGN

We analyzed data from a prospective longitudinal study of preschoolers in St Louis. Preschoolers (N = 287) were recruited from primary care sites and were assessed annually for 10-15 years. The PFC screened for depressive symptoms. Later age-appropriate psychiatric diagnostic interviews were used to derive Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, diagnoses. Regression and moderation analyses, and multilevel modeling were used to test the association between the PFC and later outcomes, and whether this relationship was moderated by income-to-needs.

RESULTS

The PFC predicted major depressive disorder (OR 1.13, P < .001), attention deficit hyperactivity disorder (OR 1.16, P < .001), and mania (OR 1.18, P < .05) in adolescence and early adulthood. Income-to-needs was a moderator in the predictive pathway between the PFC and later major depressive disorder (OR 1.10, P < .05) and mania (OR 1.19, P < .001) with the measure less predictive for children living in poverty. The PFC predicted worse functioning by the final assessment (b = 1.71, SE = 0.51, P = .001).

CONCLUSIONS

The PFC served as an indicator of risk for later attention deficit hyperactivity disorder and impairment in all children. It has predictive utility for later mood disorders only in children living above the poverty line. Predicting depression in children living below the poverty line may require consideration of risk factors not covered by the PFC.