Literature DB >> 12914894

The stressful life events schedule for children and adolescents: development and validation.

Douglas E Williamson1, Boris Birmaher, Neal D Ryan, Tiffany P Shiffrin, Jennifer A Lusky, Julie Protopapa, Ronald E Dahl, David A Brent.   

Abstract

The development and psychometric properties of the Stressful Life Events Schedule (SLES), an interview instrument to assess stressors in children and adolescents, are described. Children (< or =12 years) and adolescents (>12 years) with psychopathology (n=30) and non-psychiatric controls (n=30) were interviewed with the SLES about the occurrence of stressful life events during the prior year. To examine concurrent validity of the SLES, all subjects also completed the self-report Life Events Checklist (LEC) and half the sample completed the Life Events and Difficulties Schedule (LEDS). To examine informant validity, the parent/guardian also reported on stressful life events occurring to their child during the year prior to interview. Test-retest reliability of the SLES was examined by re-assessing all children approximately one week after the initial interview. Subjects rated subjectively how stressful an event was on a 4-point scale. Additionally, panel ratings of objective stress and behavior-dependence/independence were made on 4-point scales. The SLES was found to have substantial inter-rater consensus reliability for objective threat (kappa=0.67) and almost perfect reliability for event behavior-dependence/independence (kappa=0.84). Similarly, the test-retest reliability of the SLES was also found to be substantial at the level of specific event comparisons (kappa=0.68). The SLES discriminated between children with and without psychopathology on all measures of stressful life events. Total stressful life events assessed with the SLES concurred well with those assessed by the LEC (ICC=0.83) and the LEDS (kappa=0.77) although, as expected, examination of specific events showed much smaller overlap between the SLES and the LEC (kappa=0.26). Child-parent agreement for the occurrence of severe events was substantial (kappa=0.73) but tended to be only moderate when all events were examined (kappa=0.48). The results of this study indicate that the SLES has good psychometric properties. The SLES is a useful, cost-effective tool for assessing stressful life events in children and adolescents.

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Year:  2003        PMID: 12914894     DOI: 10.1016/s0165-1781(03)00134-3

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  47 in total

1.  The adaptation into Spanish of the Coddington Life Events Scales (CLES).

Authors:  E Villalonga-Olives; J M Valderas; J A Palacio-Vieira; M Herdman; L Rajmil; J Alonso
Journal:  Qual Life Res       Date:  2008-03-05       Impact factor: 4.147

2.  The Relationship Between Stressful Life Events and Axis I Diagnoses Among Adolescent Offspring of Probands With Bipolar and Non-Bipolar Psychiatric Disorders and Healthy Controls: The Pittsburgh Bipolar Offspring Study (BIOS).

Authors:  Lisa A Pan; Tina R Goldstein; Brian T Rooks; Mary Hickey; Jie Yu Fan; John Merranko; Kelly Monk; Rasim S Diler; Dara J Sakolsky; Danella Hafeman; Satish Iyengar; Benjamin Goldstein; David J Kupfer; David A Axelson; David A Brent; Boris Birmaher
Journal:  J Clin Psychiatry       Date:  2017-03       Impact factor: 4.384

Review 3.  Genetic Moderation of Stress Effects on Corticolimbic Circuitry.

Authors:  Ryan Bogdan; David Pagliaccio; David Aa Baranger; Ahmad R Hariri
Journal:  Neuropsychopharmacology       Date:  2015-07-20       Impact factor: 7.853

4.  Evidence for Immune Activation and Resistance to Glucocorticoids Following Childhood Maltreatment in Adolescents Without Psychopathology.

Authors:  Carine Hartmann do Prado; Rodrigo Grassi-Oliveira; Ledo Daruy-Filho; Andréa Wieck; Moisés Evandro Bauer
Journal:  Neuropsychopharmacology       Date:  2017-06-30       Impact factor: 7.853

5.  Traumatic Stress Interacts With Bipolar Disorder Genetic Risk to Increase Risk for Suicide Attempts.

Authors:  Holly C Wilcox; Janice M Fullerton; Anne L Glowinski; Kelly Benke; Masoud Kamali; Leslie A Hulvershorn; Emma K Stapp; Howard J Edenberg; Gloria M P Roberts; Neera Ghaziuddin; Carrie Fisher; Christine Brucksch; Andrew Frankland; Claudio Toma; Alex D Shaw; Elizabeth Kastelic; Leslie Miller; Melvin G McInnis; Philip B Mitchell; John I Nurnberger
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2017-10-10       Impact factor: 8.829

6.  Increased Pre- and Early-Adolescent Stress in Youth with a Family History of Substance Use Disorder and Early Substance Use Initiation.

Authors:  Nora E Charles; Charles W Mathias; Ashley Acheson; Bethany C Bray; Stacy R Ryan; Sarah L Lake; Yuanyuan Liang; Donald M Dougherty
Journal:  J Youth Adolesc       Date:  2015-03-19

7.  The role of familial risk, parental psychopathology, and stress for first-onset depression during adolescence.

Authors:  Nourhan M Elsayed; Kristina M Fields; Rene L Olvera; Douglas E Williamson
Journal:  J Affect Disord       Date:  2019-04-22       Impact factor: 4.839

8.  Trajectories of Alcohol Initiation and Use During Adolescence: The Role of Stress and Amygdala Reactivity.

Authors:  Nourhan M Elsayed; M Justin Kim; Kristina M Fields; Rene L Olvera; Ahmad R Hariri; Douglas E Williamson
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2018-06-18       Impact factor: 8.829

9.  Negative life events in children and adolescents with bipolar disorder.

Authors:  Soledad Romero; Boris Birmaher; David A Axelson; Ana-Maria Iosif; Douglas E Williamson; Mary Kay Gill; Benjamin I Goldstein; Michael A Strober; Jeffrey Hunt; Tina R Goldstein; Christianne Esposito-Smythers; Satish Iyengar; Neal D Ryan; Martin Keller
Journal:  J Clin Psychiatry       Date:  2009-10       Impact factor: 4.384

10.  Cohort profile: risk patterns and processes for psychopathology emerging during adolescence: the ROOTS project.

Authors:  Ian M Goodyer; Tim Croudace; Valerie Dunn; Joe Herbert; Peter B Jones
Journal:  Int J Epidemiol       Date:  2009-04-08       Impact factor: 7.196

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