Objective: Adverse childhood experiences (ACEs) contribute to poor overall health among children with obesity. This study evaluated how one potential protective factor-family resilience-affects the association between ACEs and childhood obesity.
Methods: This analysis was a secondary analysis of the 2016-2018 National Survey of Children's Health (NSCH), a repeated cross-sectional survey based on parent report.
Although hopelessness has been linked to depression for centuries, the diagnostic criteria for depression are inconsistent with regard to the status of hopelessness. Most research on hopelessness and depression has focused on adults. The current study examined this relation in children and adolescents.
View Article and Find Full Text PDFNeighborhood context, which may be impacted by urban growth or residential mobility, is associated with childhood physical activity. This secondary analysis examined associations of objectively measured neighborhood characteristics with young children's moderate-to-vigorous physical activity (MVPA) and sedentary/rest time (SRT) over a period of rapid infrastructure change. Underserved preschoolers (n = 426) from a 36-month obesity prevention intervention were included in a secondary analysis (2019-2020).
View Article and Find Full Text PDFBackground: Current recommendations for intensive behavioral interventions for childhood obesity treatment do not account for variable participant attendance, optimal duration of the intervention, mode of delivery (phone vs. face-to-face), or address obesity prevention among young children. A secondary analysis of an active one-year behavioral intervention for childhood obesity prevention was conducted to test how "dose delivered" was associated with body mass index z-score (BMI-Z) across 3 years of follow-up.
View Article and Find Full Text PDFObjective: To determine the magnitude of risk of factors that contribute to the emergence of childhood obesity among low-income minority children.
Study Design: We conducted a prospective cohort analysis of parent-child pairs with children aged 3-5 years who were nonobese (n = 605 pairs) who participated in a 3-year randomized controlled trial of a healthy lifestyle behavioral intervention. After baseline, height and weight were measured 5 times over 3 years to calculate body mass index (BMI) percentiles and classify children as normal, overweight, or obese.
Importance: Prevention of obesity during childhood is critical for children in underserved populations, for whom obesity prevalence and risk of chronic disease are highest.
Objective: To test the effect of a multicomponent behavioral intervention on child body mass index (BMI, calculated as weight in kilograms divided by height in meters squared) growth trajectories over 36 months among preschool-age children at risk for obesity.
Design, Setting, And Participants: A randomized clinical trial assigned 610 parent-child pairs from underserved communities in Nashville, Tennessee, to a 36-month intervention targeting health behaviors or a school-readiness control.
Background: Perception of undesirable features may inhibit built environment use for physical activity among underserved families with children at risk for obesity.
Methods: To examine the association of perceived availability, condition, and safety of the built environment with its self-reported use for physical activity, we conducted a cross-sectional analysis on baseline data from a randomized controlled trial. Adjusted Poisson regression was used to test the association between the primary independent variables (perceived availability, physical condition, and safety) with the primary outcome of self-reported use of built environment structures.
Adolescents are among the most frequent users of social media websites, raising concern about the dangers of cyber bullying or cybervictimization (CV). A 12-month longitudinal study examined the unique, prospective relation of CV to the development of negative self-cognitions and depressive symptoms in a community sample of 827 children and young adolescents (ages 8-13; 55.1 % female) from the southeastern United States.
View Article and Find Full Text PDFJ Clin Child Adolesc Psychol
December 2016
Framed by a previously established conceptual model of youths' posttraumatic stress (PTS) responses following a disaster, the current longitudinal study examined the relation of predisaster child characteristics (age, gender, depressive symptoms, ruminative coping), predisaster environmental characteristics (negative life events and supportive and negative friendship interactions), and level of disaster exposure to youths' PTS symptoms in the wake of a natural disaster. Prior to the 2010 Nashville, Tennessee, flood, 239 predominantly Caucasian youth from four elementary and middle schools (ages = 10-15, 56% girls) completed measures of depressive symptoms, rumination, negative life events, and social support in the form of both supportive and negative friendship interactions. Approximately 10 days after returning to school, 125 completed measures of disaster exposure and postflood PTS symptoms.
View Article and Find Full Text PDFPrior research has shown cognitive reactivity to be a diathesis for depression. Seeking evidence for the developmental origins of such diatheses, the current study examined peer victimization and harsh parenting as developmental correlates of cognitive reactivity in 571 children and adolescents (ages 8-13 years). Four major findings emerged.
View Article and Find Full Text PDFPrevious theory and research suggest that childhood experiences are more likely to generate depressive self-schemas when they focus attention on negative information about oneself, generate strong negative affect, and are repetitive or chronic. Persistent peer victimization meets these criteria. In the current study, 214 youths (112 females) with empirically-validated histories of high or low peer victimization completed self-report measures of negative and positive self-cognitions as well as incidental recall and recognition tests following a self-referent encoding task.
View Article and Find Full Text PDFAdolescent depression is a common and recurrent disorder associated with significant impairment and other forms of psychopathology. Finding an effective intervention that prevents depression in adolescents is an important public health priority. Participants were 518 high school students (mean age = 15.
View Article and Find Full Text PDFThe current longitudinal study tested hypotheses about Nolen-Hoeksema's (1987, 1991) response styles theory (RST) of depression in a sample of child and adolescent public school students. Wave 1 measures of rumination, distraction, and depression were obtained 6 months prior to the 2010 Nashville flood. Similar measures plus a measure of flood-related stressors were administered at Wave 2, approximately ten days after students returned to school after the flood.
View Article and Find Full Text PDFDuring childhood and adolescence, physiological, psychological, and behavioral processes strongly promote weight gain and increased appetite while also inhibiting weight loss and decreased appetite. The Diagnostic and Statistical Manual-IV (DSM-IV) treats both weight-gain/increased-appetite and weight-loss/decreased-appetite as symptoms of major depression during these developmental periods, despite the fact that one complements typical development and the other opposes it. To disentangle the developmental versus pathological correlates of weight and appetite disturbance in younger age groups, the current study examined symptoms of depression in an aggregated sample of 2307 children and adolescents, 47.
View Article and Find Full Text PDFOur goals in this article were to use item response theory (IRT) to assess the relation of depressive symptoms to the underlying dimension of depression and to demonstrate how IRT-based measurement strategies can yield more reliable data about depression severity than conventional symptom counts. Participants were 3,403 children and adolescents from 12 contributing clinical and nonclinical samples; all participants had received the Kiddie Schedule of Affective Disorders and Schizophrenia for School-Aged Children. Results revealed that some symptoms reflected higher levels of depression and were more discriminating than others.
View Article and Find Full Text PDFJ Child Psychol Psychiatry
March 2010
Background: This study examined the temporal comorbidity of depressive disorders with anxiety, externalizing, and substance use disorders in adolescents who varied in risk for depression.
Methods: Participants were 240 adolescents and their mothers who had either a history of depression (high-risk, n = 185) or were lifetime-free of psychiatric disorders (low-risk, n = 55). Children (54.
In a 6-wave longitudinal study, children (Grades 4-6, n = 648), adolescents (Grades 7-9, n = 1,489), and their parents completed child-adolescent or parent versions of the Children's Depression Inventory (CDI; M. Kovacs, 1981). Using structural equation modeling, the authors conducted latent trait-state analyses to distinguish between a stable trait dimension of depression (in which individual differences are stable over time) and an autoregressive dimension (in which individual differences are less stable over time).
View Article and Find Full Text PDFThe latent trait-state-error model (TSE) and the latent state-trait model with autoregression (LST-AR) represent creative structural equation methods for examining the longitudinal structure of psychological constructs. Application of these models has been somewhat limited by empirical or conceptual problems. In the present study, Monte Carlo analysis revealed that TSE models tend to generate improper solutions when N is too small, when waves are too few, and when occasion factor stability is either too large or too small.
View Article and Find Full Text PDFWithin the field of family psychology, questions regarding the risk of event occurrence may be common. Such questions, about whether and when events occur and what predicts these occurrences, pose particular methodological challenges and are often best addressed via a statistical method known as survival analysis. This article provides a brief overview of that method, explicating through a data example the major components of a discrete-time survival analysis.
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