Use of the Children's Depression Inventory

Sitarenios, Gill; Stein, Steven J.

doi:10.4324/9781410610621-1

Cited by 72 publications

(74 citation statements)

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“…41 The CDI-C negative mood subscale “reflects feeling sad, feeling like crying, worrying about ‘bad things,’ being bothered or upset by things, and being unable to make up one’s mind.” 39 Both subscales and the total score show adequate internal consistency in previous studies. 39,42 …”

Section: Methodsmentioning

confidence: 67%

“…We focus on the anhedonia and negative mood subscales of the CDI-C and use age-/gender-normalized t scores for all analyses. 36 The CDI-C anhedonia subscale “reflects “endogenous depression,” including impaired ability to experience pleasure, loss of energy, problems with sleeping and appetite, and a sense of isolation.” 39 Thus it should be noted that although this measure of “anhedonic depressive symptoms” is similar to the symptom measures used in the adult PILT literature, 10,30,40 it goes beyond reduced pleasure and includes symptoms such as sleep and appetite. 41 The CDI-C negative mood subscale “reflects feeling sad, feeling like crying, worrying about ‘bad things,’ being bothered or upset by things, and being unable to make up one’s mind.” 39 Both subscales and the total score show adequate internal consistency in previous studies.…”

Section: Methodsmentioning

confidence: 99%

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Child Gain Approach and Loss Avoidance Behavior: Relationships With Depression Risk, Negative Mood, and Anhedonia

Luking

Pagliaccio

Luby

et al. 2015

Journal of the American Academy of Child & Adolescent Psych

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Objective Reduced reward responsiveness and altered response to loss of reward are observed in adults with major depressive disorder (MDD) and adolescents at increased risk for MDD based on family history. However, it is unclear whether altered behavioral responsiveness to reward/loss is a lifelong marker of MDD risk, which is evident before the normative adolescent increase in incentive responding. Method Healthy 7- to 10-year-old children of mothers with MDD (high risk: n = 27) or without MDD (low risk: n = 42) performed 2 signal detection tasks assessing response bias toward reward (approach) and away from loss (avoidance). Differences in approach/avoidance were related to MDD risk, child general depressive symptoms (maternal report), child-reported anhedonic symptoms, and child-reported negative mood symptoms via repeated-measures analysis of variance. Results MDD risk did not significantly relate to gain approach or loss avoidance. However, within high-risk children, higher numbers of maternal depressive episodes predicted blunted loss avoidance. Blunted gain approach was related to elevated anhedonic symptoms, whereas enhanced loss avoidance was related to elevated negative mood. Elevated negative mood was further related to blunted gain approach in high-risk children but related to enhanced gain approach in low-risk children. Conclusion In children, individual differences in specific depressive symptoms and recurrence of maternal depression significantly predicted gain approach/loss avoidance, but the presence/absence of maternal MDD did not. Child depressive symptoms characterized by low positive affect (anhedonia) were related to blunted gain responsiveness, whereas elevated depressed/negative mood was related to enhanced loss responsiveness. Findings suggest that relations between gain approach and negative mood may be an important distinction between those at high versus low risk for MDD.

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Section: Methodsmentioning

confidence: 67%

Section: Methodsmentioning

confidence: 99%

Child Gain Approach and Loss Avoidance Behavior: Relationships With Depression Risk, Negative Mood, and Anhedonia

Luking

Pagliaccio

Luby

et al. 2015

Journal of the American Academy of Child & Adolescent Psych

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“…At age 10, offspring completed the Children's Depression Inventory (CDI; Kovacs, 1992), a measure of depressive symptoms adapted from the Beck Depression Inventory. Good internal consistency and validity have been reported (Kovacs, 1992; Sitarenios and Stein, 2004). The CDI measures general psychopathology over the last two weeks, rather than clinically defined depression, and assesses symptoms such as negative mood and self-esteem, and anhedonia.…”

Section: Methodsmentioning

confidence: 97%

Prenatal cocaine exposure and age of sexual initiation: Direct and indirect effects

Genna

Goldschmidt

Richardson

2014

Drug and Alcohol Dependence

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Background Prenatal cocaine exposure (PCE) has been linked to child behavior problems and risky behavior during adolescence such as early substance use. Behavior problems and early substance use are associated with earlier initiation of sexual behavior. The goal of this study was to examine the direct and indirect effects of PCE on sexual initiation in a longitudinal birth cohort, about half of whom were exposed to cocaine in utero. Methods Women were interviewed twice prenatally, at delivery, and 1, 3, 7, 10, 15, and 21 years postpartum. Offspring (52% female, 54% African American) were assessed at delivery and at each follow-up phase with age-appropriate assessments. At age 21, 225 offspring reported on their substance use and sexual behavior. Results First trimester cocaine exposure was a significant predictor of earlier age of first intercourse in a survival analysis, after controlling for race, sociodemographic characteristics, caregiver pre- and postnatal substance use, parental supervision, and child’s pubertal timing. However, the association between PCE and age of first sexual intercourse was mediated by adolescent marijuana and alcohol use prior to age 15. Conclusions Most of the effect of PCE on age of sexual initiation occurred between the ages of 13 to 18, when rates of initiation were approximately 10% higher among exposed offspring. This effect was mediated by early adolescent substance use. These results have implications for identification of the exposed offspring at greatest risk of HIV risk behaviors and early, unplanned pregnancy.

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“…25,26 The CDI is well-validated 39 and is frequently used to measure depressive symptoms in youth with chronic pain. 7,18,21 The measure scoring system yields five subscales that were developed based on normative data from 592 boys and 674 girls ages 7–16 in the Florida public school system.…”

Section: Methodsmentioning

confidence: 99%

Factor Structure of the Children's Depression Inventory in a Multisite Sample of Children and Adolescents With Chronic Pain

Logan

Claar

Guite

et al. 2013

The Journal of Pain

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This study examined the factor structure of the Children’s Depression Inventory (CDI) among children and adolescents with chronic pain using exploratory and confirmatory factor analysis in a large, multisite sample of treatment-seeking youth. Participants included 1043 children and adolescents (ages 8–18) with a range of chronic pain complaints who presented for initial evaluation at one of three tertiary care pediatric chronic pain clinics across the U.S. They completed the CDI and reported on pain intensity and functional disability. Factor analysis was conducted using a two-step (exploratory and confirmatory) approach. Results supported a 5-factor model for the CDI with good fit to the data. The distribution and item-total correlations of the somatic items (e.g. pain complaints, fatigue) were explored in this sample. Results indicate that the CDI is a useful tool for assessing depressive symptoms in youth with chronic pain, but some caution is warranted in interpreting the clinical significance of scores in light of the overlap of specific symptoms common to both pain and depression.

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Use of the Children's Depression Inventory

Cited by 72 publications

References 0 publications

Child Gain Approach and Loss Avoidance Behavior: Relationships With Depression Risk, Negative Mood, and Anhedonia

Child Gain Approach and Loss Avoidance Behavior: Relationships With Depression Risk, Negative Mood, and Anhedonia

Prenatal cocaine exposure and age of sexual initiation: Direct and indirect effects

Factor Structure of the Children's Depression Inventory in a Multisite Sample of Children and Adolescents With Chronic Pain

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