Evidence map›Paper›PMID 34236586›Full record

ArticleResearch on child and adolescent psychopathology2021

Developmental Trajectories of Pediatric Obsessive-Compulsive Symptoms.

Anna K Luke, Rachel Ankney, Emily P Wilton, Theresa R Gladstone, Kristoffer S Berlin, Christopher A Flessner

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Article in Research on child and adolescent psychopathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Anna K LukeDepartment of Psychological Sciences, Kent State University, Kent, OH, 44240, USA.
Rachel AnkneyDepartment of Psychology, The University of Memphis, Memphis, USA.
Emily P WiltonDepartment of Psychological Sciences, Kent State University, Kent, OH, 44240, USA.
Theresa R GladstoneDepartment of Psychological Sciences, Kent State University, Kent, OH, 44240, USA.
Kristoffer S BerlinThe University of Memphis, Department of Psychology; Department of Pediatrics, University of Tennessee Health Science Center-Memphis, Memphis, USA.
Christopher A FlessnerDepartment of Psychological Sciences, Kent State University, Kent, OH, 44240, USA. cflessne@kent.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Children who experience obsessive-compulsive symptoms (OCS) may be at risk for developing Obsessive-Compulsive Disorder (OCD). The current study aimed to investigate developmental trajectories of OCS, as well as possible predictors, within a community-based sample of children. Children (N = 1147) from the longitudinal NICHD Study of Early Child Care and Youth Development (SECCYD) were assessed for OCS, via the Child Behavioral Checklist - Obsessive-Compulsive Scale (OCS-8), eight times between Pre-Kindergarten (54 months; Pre-K) and High School (15 years of age; HS.) Participants were recruited within the United States and included only maternal caregivers. Preliminary analyses indicated that approximately 3% of the sample was above the diagnostic cutoff score on the OCS-8 at the High School time-point. Latent growth models tested symptom trajectories. Findings demonstrated three groups of OCS trajectories. Most children fell within a low symptomatology group (the No Peak group) with low OCS across all time points. Two additional OCS trajectories were also demonstrated: Pre-K Peak (high to low OCS across time) and HS Peak (low to high OCS across time). Both higher attention problems and greater depression/anxiety symptoms at the Pre-K time point predicted children's membership in the Pre-K Peak or HS Peak groups compared to the No Peak group. Membership within the HS Peak group predicted a high likelihood of children's OCS being above previously established cutoff scores for an OCD diagnosis at age 15 years. Membership within either the Pre-K Peak or No Peak groups predicted a low likelihood. This study provides new evidence for the existence of different developmental trajectories for youth with OCS. From a clinical perspective, these results may have important implications when considering the identification and early intervention of childhood OCS and OCD within the community.

Indexed as

Child Behavior DisordersObsessive-Compulsive DisorderAdolescentChecklistChildHumansSchoolsUnited StatesDevelopmental trajectoriesLatent growthObsessive–compulsive symptomsOCD

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.