The Pediatric Symptom Checklist

Jellinek, Michael S.; Little, Michelle; Jm, Murphy; Pagano, Maria E.

doi:10.1001/archpedi.1995.02170200030004

Cited by 50 publications

(11 citation statements)

References 35 publications

(2 reference statements)

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“…ADHD, Attention Deficit Hyperactivity Disorder; AD, Adolescence; EC, early childhood; Log OR, log-transformed odds ratio; MC, middle childhood; SMD, standardized mean difference (= Cohen’s d); PSY DIAG/HOSP, psychiatric diagnoses/hospitalizationQuestionnaires: AGQ = Aggression Questionnaire-military [59]; BASC-2 = Behavior Assessment System for Children [60]; BERS-2 = Behavioral and emotional rating scale [61]; BPI = Behavioral Problems Index [62]; CAS = Cattle’s Anxiety Scale-military [63]; CBCL = Child Behavior Checklist, pre-/school age form [64, 65]; CES-DC = Center for Epidemiological Studies-Depression Scale for Children [66]; EATQ-R = Early Adolescent Temperament Questionnaire-Revised [67]; HYS = Healthy Youth Survey (excerpts for depression symptoms; [68]; Kessler6 [69]; MASC = Multidimensional Anxiety Scale for Children [70]; PBFS = Problem Behavior Frequency Scale [71]; PSC = Pediatric Symptom Checklist [72]; RCMAS = Children’s Manifest Anxiety Scale [73]; SDQ = Strength and Difficulties Questionnaire [74]; Y-PSC = Youth Pediatric Symptom Checklist [75]…”

Section: Methodsmentioning

confidence: 99%

Parental military deployment as risk factor for children’s mental health: a meta-analytical review

Cunitz

Dölitzsch

Kösters

et al. 2019

Child Adolesc Psychiatry Ment Health

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There is evidence that military service increases the risk of psychosocial burden for not only service members but also their spouses and children. This meta-analysis aimed to systematically assess the association between military deployment of (at least one) parent and impact on children’s mental health. For this meta-analytic review, publications were systematically searched and assessed for eligibility based on predefined inclusion criteria (studies between 2001 until 2017 involving children with at least one parent working in military services). Measurements were determined by total problem scores of the children as well as symptoms of anxiety/depression, hyperactivity/inattention, and aggressive behavior. Meta-analyses aggregated the effect sizes in random-effect models and were calculated separately for the relation between parental deployment and civilian/normative data and for the relation between parental deployment and non-deployment. Age of the children was used as moderator variable to explore any potential source of heterogeneity between studies. Parental military deployment was associated with problems in children and adolescents compared to civilian/normative samples. Significant effect sizes reached from small to moderate values; the largest effect sizes were found for overall problems and specifically for anxious/depressive symptoms and aggressive behavior. Within the military group, children of deployed parents showed more problem behavior than children of non-deployed parents, but effect sizes were small. Age of the children had no moderating effect. The results emphasize that children of military members, especially with a deployed parent, should be assessed for emotional and behavioral problems.

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Section: Methodsmentioning

confidence: 99%

Parental military deployment as risk factor for children’s mental health: a meta-analytical review

Cunitz

Dölitzsch

Kösters

et al. 2019

Child Adolesc Psychiatry Ment Health

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“…Each parent answered the Child Behavior Checklist (CBCL) and one out of three questionnaires: the Pediatric Symptom Checklist (PSC, n = 674), [25-27] the Strengths and Difficulties Questionnaire (SDQ, n = 707), [28-31] or a newly developed Dutch questionnaire on psychosocial problems for children in primary education, the PSYBOBA (n = 660) [32]. …”

Section: Methodsmentioning

confidence: 99%

An accurate and efficient identification of children with psychosocial problems by means of computerized adaptive testing

Vogels¹,

Jacobusse

Reijneveld

2011

BMC Med Res Methodol

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BackgroundQuestionnaires used by health services to identify children with psychosocial problems are often rather short. The psychometric properties of such short questionnaires are mostly less than needed for an accurate distinction between children with and without problems. We aimed to assess whether a short Computerized Adaptive Test (CAT) can overcome the weaknesses of short written questionnaires when identifying children with psychosocial problems.MethodWe used a Dutch national data set obtained from parents of children invited for a routine health examination by Preventive Child Healthcare with 205 items on behavioral and emotional problems (n = 2,041, response 84%). In a random subsample we determined which items met the requirements of an Item Response Theory (IRT) model to a sufficient degree. Using those items, item parameters necessary for a CAT were calculated and a cut-off point was defined. In the remaining subsample we determined the validity and efficiency of a Computerized Adaptive Test using simulation techniques, with current treatment status and a clinical score on the Total Problem Scale (TPS) of the Child Behavior Checklist as criteria.ResultsOut of 205 items available 190 sufficiently met the criteria of the underlying IRT model. For 90% of the children a score above or below cut-off point could be determined with 95% accuracy. The mean number of items needed to achieve this was 12. Sensitivity and specificity with the TPS as a criterion were 0.89 and 0.91, respectively.ConclusionAn IRT-based CAT is a very promising option for the identification of psychosocial problems in children, as it can lead to an efficient, yet high-quality identification. The results of our simulation study need to be replicated in a real-life administration of this CAT.

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“…Strong support for the validity and reliability of the PSC exists, including support for construct validity as a parent-reported measure of child emotional and behavioral functioning (Simonian & Tarnowski, 2001;Walker, LaGrone, & Atkinson, 1989). Test-retest reliability and internal consistency have also been shown to be good (Jellinek, Little, Murphy, & Pagano, 1995;Jellinek, Murphy, & Burns, 1986;. High levels of sensitivity and specificity have also been noted for the PSC, with specificity values ranging from 68 to 100 %, and sensitivity values ranging from 77 to 95 % (Stoppelbein et al, 2005).…”

Section: Methodsmentioning

confidence: 97%

The Pediatric Symptom Checklist: Comparison of symptom profiles using three factor structures between pediatric gastroenterology and general pediatric patients

Gutierrez‐Colina

Lee

Reed-Knight

et al. 2016

Children's Health Care

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2016): The Pediatric Symptom Checklist: Comparison of symptom profiles using three factor structures between pediatric gastroenterology and general pediatric patients, Children's Health Care, ABSTRACTThis study evaluated and compared three different factor structures of the Pediatric Symptom Checklist (PSC) in a gastroenterology (GI) and a general pediatrics (GP) sample. Parents of GP (n = 169) and GI (n = 177) patients completed the PSC. Each structure includes internalizing, externalizing, and attention problems. Only one structure includes school problems. Hierarchical regression analyses revealed higher internalizing symptoms for GI patients across factor structures. The relationship between internalizing symptoms and age was moderated by group. The PSC seems sensitive to internalizing difficulties in GI patients regardless of factor structure. Older pediatric GI patients may be at increased risk for internalizing symptoms.

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The Pediatric Symptom Checklist

Cited by 50 publications

References 35 publications

Parental military deployment as risk factor for children’s mental health: a meta-analytical review

Parental military deployment as risk factor for children’s mental health: a meta-analytical review

An accurate and efficient identification of children with psychosocial problems by means of computerized adaptive testing

The Pediatric Symptom Checklist: Comparison of symptom profiles using three factor structures between pediatric gastroenterology and general pediatric patients

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