Journal of Child Psychology and Psychiatry Impact Factor & Information

Publisher: Association for Child Psychology and Psychiatry, Wiley

Journal description

The Journal of Child Psychology and Psychiatry is internationally recognised to be the leading journal covering both child and adolescent psychology and psychiatry. Articles published include experimental and developmental studies, especially those relating to developmental psychopathology and the developmental disorders. An important function of the Journal is to bring together empirical research, clinical studies and reviews of high quality arising from different theoretical perspectives.

Current impact factor: 6.46

Impact Factor Rankings

2015 Impact Factor Available summer 2016
2014 Impact Factor 6.459
2013 Impact Factor 5.669
2012 Impact Factor 5.422
2011 Impact Factor 4.281
2010 Impact Factor 4.36
2009 Impact Factor 4.983
2008 Impact Factor 4.854
2007 Impact Factor 4.432

Impact factor over time

Impact factor

Additional details

5-year impact 6.68
Cited half-life 9.20
Immediacy index 1.21
Eigenfactor 0.03
Article influence 2.50
Website Journal of Child Psychology and Psychiatry and Allied Disciplines, The website
Other titles Journal of child psychology and psychiatry and allied disciplines (Online), Journal of child psychology and psychiatry
ISSN 1469-7610
OCLC 48799103
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details


  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author cannot archive a post-print version
  • Restrictions
    • 2 years embargo
  • Conditions
    • Some journals have separate policies, please check with each journal directly
    • On author's personal website, institutional repositories, arXiv, AgEcon, PhilPapers, PubMed Central, RePEc or Social Science Research Network
    • Author's pre-print may not be updated with Publisher's Version/PDF
    • Author's pre-print must acknowledge acceptance for publication
    • Non-Commercial
    • Publisher's version/PDF cannot be used
    • Publisher source must be acknowledged with citation
    • Must link to publisher version with set statement (see policy)
    • If OnlineOpen is available, BBSRC, EPSRC, MRC, NERC and STFC authors, may self-archive after 12 months
    • If OnlineOpen is available, AHRC and ESRC authors, may self-archive after 24 months
    • Publisher last contacted on 07/08/2014
    • This policy is an exception to the default policies of 'Wiley'
  • Classification

Publications in this journal

  • Journal of Child Psychology and Psychiatry 01/2016;
  • Molly A Nikolas · Alexis L Elmore · Luke Franzen · Elizabeth O'Neal · Joseph K Kearney · Jodie M Plumert ·
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    ABSTRACT: Background: Injury risk from car-bicycle collisions is particularly high among youth with attention-deficit hyperactivity disorder (ADHD). Here, we capitalized on advances in virtual environment technology to safely and systematically examine road-crossing behavior among child cyclists with and without ADHD. Methods: Sixty-three youth (26 with ADHD, 37 non-ADHD controls) ages 10-14 years crossed 12 intersections with continuous cross-traffic while riding a high-fidelity bicycling simulator. Traffic density (i.e., temporal gaps between vehicles) was manipulated to examine the impact of varying traffic density on behavioral indices of road crossing, including gap selection, timing of entry into the roadway, time to spare when exiting the roadway, and close calls with oncoming cars. In addition, parents filled out questionnaires assessing their child's ADHD symptomatology, temperamental characteristics, bicycling experience, and injury history. Results: ADHD youth largely chose the same size gaps as non-ADHD youth, although ADHD youth were more likely to select smaller gap sizes following exposure to high-density traffic. In addition, youth with ADHD demonstrated poorer movement timing when entering the intersection, resulting in less time to spare when exiting the roadway. Hyperactivity-impulsivity symptoms were specifically associated with selection of smaller gaps, whereas timing deficits were specifically associated with inattention and inhibitory control. Conclusion: Findings highlight two related yet potentially dissociable mechanisms that may influence injury risk among youth with ADHD and provide a foundation for development of injury prevention strategies.
    Journal of Child Psychology and Psychiatry 11/2015; DOI:10.1111/jcpp.12491
  • Molly Adrian · Adam Bryant Miller · Elizabeth McCauley · Ann Vander Stoep ·
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    ABSTRACT: Background: The present study examined developmental trajectories of suicidal ideation (SI) and predictors of the course of SI across early to middle adolescence in a sample of 521 children utilizing a prospective longitudinal design. Method: A baseline assessment including structured interviews and parent- and adolescent-reported measures was conducted at age 11-12 years, with follow-up assessments occurring 6, 12, 18, and 36 months later. Results: Group-based trajectory analyses revealed three groups of individuals, one group that remained at low ideation scores throughout the time period examined, another group with moderate ideation scores and a minority of children who had fluctuating SI. Sex differences in SI trajectories were revealed with the highest SI scores at age 12 for boys. For boys in this group, high ideation followed by a steady decline in the slope over time. SI in girls demonstrated a quadratic function increasing from age 12 to 13, and decreasing from age 14 to 15. Factors that predicted SI group membership were identified. Depression, externalizing problems, family and friend support discriminated SI trajectories for both boys and girls. History of a suicide attempt was associated with moderate- and high-declining ideation groups for boys, and moderate and high ideation group for girls. Conclusions: Assessment of SI in adolescents should occur in early adolescents, particularly around the time of school transitions.
    Journal of Child Psychology and Psychiatry 11/2015; DOI:10.1111/jcpp.12484
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    ABSTRACT: Background: Heavy alcohol use during pregnancy can cause considerable developmental problems for children, but effects of light-moderate drinking are uncertain. This study examined possible effects of moderate drinking in pregnancy on children's conduct problems using a Mendelian randomisation design to improve causal inference. Methods: A prospective cohort study (ALSPAC) followed children from their mother's pregnancy to age 13 years. Analyses were based on 3,544 children whose mothers self-reported either not drinking alcohol during pregnancy or drinking up to six units per week without binge drinking. Children's conduct problem trajectories were classified as low risk, childhood-limited, adolescence-onset or early-onset-persistent, using six repeated measures of the Strengths and Difficulties Questionnaire between ages 4-13 years. Variants of alcohol-metabolising genes in children were used to create an instrumental variable for Mendelian randomisation analysis. Results: Children's genotype scores were associated with early-onset-persistent conduct problems (OR = 1.29, 95% CI = 1.04-1.60, p = .020) if mothers drank moderately in pregnancy, but not if mothers abstained from drinking (OR = 0.94, CI = 0.72-1.25, p = .688). Children's genotype scores did not predict childhood-limited or adolescence-onset conduct problems. Conclusions: This quasi-experimental study suggests that moderate alcohol drinking in pregnancy contributes to increased risk for children's early-onset-persistent conduct problems, but not childhood-limited or adolescence-onset conduct problems.
    Journal of Child Psychology and Psychiatry 11/2015; DOI:10.1111/jcpp.12486
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    ABSTRACT: Background: Early detection of schizophrenia risk is a critical goal in the field. Endophenotypes in children to relatives of affected individuals may contribute to this early detection. One of the lowest cost and longest theorized domains is motor development in children. Methods: A meta-analysis was conducted comparing individuals ≤21 years old with affected first-degree relatives (FDR) with (1) individuals from unaffected families (controls), or (2) individuals with FDR having other psychiatric disorders. Studies were classified by motor outcome and separate meta-analyses were performed across six correlated domains, with available N varying by domain. Results: Inclusion criteria were met by k = 23 independent studies with a total N = 18,582, and N across domains varying from 167 to 8619. The youth from affected families had delays in gross and fine motor development in infancy (k = 3, n = 167, Hedges'g = 0.644, confidence intervals (CI) = [0.328, 0.960], p < .001), walking milestones (k = 3, n = 608, g = 0.444, CI = [0.108, 0.780], p = .01), coordination (k = 8, n = 8619, g = 0.625, CI = [0.453, 0.797], p < .0001), and had more abnormal movements such as involuntary movements (k = 6, n = 8365, g = 0.291, CI = [0.041, 0.542], p = .02) compared with controls. However, not all effects survived correction for publication bias. Effects for neurological soft signs were small and not reliably different from zero (k = 4, n = 548, g = 0.238, CI = [-0.106, 0.583], p = .18). When comparing the FDR group to youth from families with other psychiatric disorders, the FDR group was distinguished by poorer gross and fine motor skills (k = 2, n = 275, g = 0.847, CI = [0.393, 1.300], p < .001). Conclusions: Motor deficits during development likely represent an endophenotype for schizophrenia, although its specificity is limited in relation to other serious mental disorders. It holds promise as a low cost domain for early risk detection, although it will have to be combined with other indicators to achieve clinically usable prediction accuracy. Impaired coordination was the most robust result with a moderate effect size and lack of heterogeneity and publication bias.
    Journal of Child Psychology and Psychiatry 11/2015; DOI:10.1111/jcpp.12479
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    ABSTRACT: Background: Behavioral interventions are commonplace in the treatment of autism spectrum disorders, yet relatively little is known about how and why these interventions work. This study tests the relationship between isolated core components of a packaged social communication intervention and the primary outcome, joint engagement, to better understand how the intervention is affecting change in individuals. Methods: A total of 86 toddlers and their parents were enrolled in the study and randomized to one of two treatments, the joint attention, symbolic play, engagement, and regulation (JASPER) parent-mediated intervention or a psychoeducational intervention. Measures regarding the parent's use of intervention strategies were collected before and after the 10-week intervention. Additional measures of child and parent joint engagement were also collected. Results: A significant effect of treatment was found for all four of the core strategies of the intervention, favoring a larger increase in the JASPER condition. A hierarchical linear regression revealed several individual predictors of joint engagement, including parent-rated buy-in, interventionist-rated parent involvement, and parental use of strategies. To complement the hierarchical analysis, we also tested the potential mediating effect the strategies may have on the relationship between treatment and joint engagement. Results showed that the strategy of mirrored pacing mediated the relationship between treatment and joint engagement in the positive direction. Conclusions: These results strongly suggest that the mirrored pacing strategy is an active ingredient of the JASPER treatment.
    Journal of Child Psychology and Psychiatry 11/2015; DOI:10.1111/jcpp.12481
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    ABSTRACT: Clarifying risks for childhood disorders is one of the core aims of research in developmental psychopathology; disseminating findings from the most robust and clinically relevant of that risk research is a core aim of JCPP. This issue exemplifies that tradition, including articles that use a range of research designs and strategies to confirm – or in some instances disconfirm – the roles of hypothesized risks. It begins with one of our occasional series of reviews of risk research: Culbert, Racine and Klump's lucid synthesis of recent findings on the causes of eating disorders, and the accompanying Commentary by Smith and Davis. These will, of course, be of special interest to those who work in the eating disorders field, but – like all good reviews – their underlying messages have a wider resonance and relevance for the field. We highlight just three issues of particular interest in this Editorial.
    Journal of Child Psychology and Psychiatry 11/2015; 56(11). DOI:10.1111/jcpp.12472
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    ABSTRACT: A number of recent advances in eating disorders research have helped clarify the nature of risk for the development of such disorders. Culbert et al. (2015) provide an empirical and thoughtful review of these recent advances. The authors identified empirically established risk factors in each of several categories of risk for eating disorders: genetic influences, neurotransmitter activity, hormones, personality, and sociocultural influences. We highlight three implications of their review. First, the review can serve as an important asset to eating disorder researchers, both substantively, by providing a comprehensive account of empirically supported risk processes; and methodologically, by highlighting good standards of evidence for acceptance of a candidate risk factor. Second, eating disorder risk is increased by both transdiagnostic and eating disorder-specific factors; there is a need to understand how these types of factors transact with each other. Third and most important, we highlight the importance of Culbert et al.'s advocacy for the development of theoretical models, and empirical tests of those models that specify transactions among different types of risk factors, such as those based on genetic, neurobiological, personality, and social processes.
    Journal of Child Psychology and Psychiatry 11/2015; 56(11). DOI:10.1111/jcpp.12455
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    ABSTRACT: Background: Conventional cohort studies have consistently shown that exposure to maternal smoking in pregnancy is associated with about twice the risk of attention deficit hyperactivity disorder (ADHD) in the offspring. However, recent studies using alternative designs to disentangle the effect of social and genetic confounders have suggested that confounding may account for the association. In this study we aimed to estimate the association by a sibling design. Methods: We used a design with half and full siblings in a Danish national register-based cohort on all singletons born between January 1991 and December 2006 and followed until January 2011. Data were available for 90% (N = 968,665) of the singleton live births in the period. We used the combination of the International Classification of Diseases (10th version) diagnosis of hyperkinetic disorder (HKD) and ADHD medication to identify children. We used sibling-matched (conditional) Cox regression to control social and genetic confounding. Results: Using conventional cohort analyses, we found the expected association between pregnancy smoking and offspring ADHD (adjusted HR 2.01, 95% CI 1.94-2.07). In the sibling analysis, however, we did not detect such a strong association (adjusted HR 1.07, 95% CI 0.94-1.22). There was no difference between results for half- and full sibling analyses. The link between pregnancy smoking and low birth weight remained robust in the sibling design (adjusted OR 1.68, 95% CI 1.33-2.12). Conclusions: We found no support for prenatal smoking as a strong causal factor in ADHD. Our findings suggest that the strong association found in most previous epidemiological studies is likely to be due to a strong link between maternal smoking and maternal ADHD genetics or shared family environment. Pregnant women should still be encouraged to stop smoking because of other risks, but we have no reason to believe that this would reduce the risk of ADHD in the offspring.
    Journal of Child Psychology and Psychiatry 10/2015; DOI:10.1111/jcpp.12478
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    ABSTRACT: A broad range of modern mathematical and statistical approaches alongside vastly increased computing power have opened up new posibilities for the management and analysis of research data. These approaches have allowed researchers to link data from large public registries and then explore these very large and complex datasets. Machine learning approaches that can both learn from and make predictions about data are helping us move closer to a personalised medicine approach. These advances in data management and analysis have been mirrored by the development of various innovative, creative and informative visualisation tools and approaches that offer the researcher fantastic possibilities to improve the clarity of their presentations and increase the impact of their research. In order to make the best use of these opportunities it will be important to ensure that we are more consistent in bringing the right kind of skills into our research teams at the beginning of the process rather than turning to them as an afterthought at the end of the process.
    Journal of Child Psychology and Psychiatry 10/2015; 56(10). DOI:10.1111/jcpp.12467