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Population mean scores predict child mental disorder rates: validating SDQ prevalence estimators in Britain / Anna GOODMAN in Journal of Child Psychology and Psychiatry, 52-1 (January 2011)
[article]
Titre : Population mean scores predict child mental disorder rates: validating SDQ prevalence estimators in Britain Type de document : Texte imprimé et/ou numérique Auteurs : Anna GOODMAN, Auteur ; Robert GOODMAN, Auteur Année de publication : 2011 Article en page(s) : p.100-108 Langues : Anglais (eng) Mots-clés : Strengths and Difficulties Questionnaire population mean prevalence SDQ prevalence estimator Index. décimale : PER Périodiques Résumé : Background: For adult physical and mental health, the population mean predicts the proportion of individuals with ‘high’ scores. This has not previously been investigated for child mental health. It is also unclear how far symptom scores on brief questionnaires provide an unbiased method of comparing children with different individual, family or social characteristics.
Methods: Subjects were 18,415 British children aged 5–16 years. Parents, teachers, and children aged 11–16 completed Strengths and Difficulties Questionnaires (SDQs) and diagnostic interviews; the latter were used to assign multi-informant clinician-rated diagnoses. We examined how closely the prevalence of child mental disorder was predicted by SDQ mean total difficulty scores, and how these mean scores compared to alternative SDQ-based summary statistics. We did this for populations defined in terms of a wide range of risk factors using one randomly selected half of the study sample. Using these results we generated SDQ prevalence estimator equations, and validated these on the second half of the study sample.
Results: Mean symptom scores closely predicted the prevalence of clinician-rated child mental disorder (R2 = .89–.95) and performed better than alternative summary statistics based on binary SDQ outcomes. The predictions of the SDQ prevalence estimators were on average only 1–2% different from the true prevalence, with no systematic tendency towards under- or overestimation. There were only a few outlier subpopulations, all relating to children with learning difficulties.
Conclusion: The proportion of children with a disorder is closely predicted by mean symptom scores, highlighting the potential importance of population-wide interventions to improve child mental health. In Britain, SDQ mean total difficulty scores generally provide an accurate and unbiased method of assessing the mental health of different subgroups. SDQ prevalence estimators may facilitate presenting these research findings as proportions that are more easily interpreted by policymakers and service providers.En ligne : http://dx.doi.org/10.1111/j.1469-7610.2010.02278.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=113
in Journal of Child Psychology and Psychiatry > 52-1 (January 2011) . - p.100-108[article] Population mean scores predict child mental disorder rates: validating SDQ prevalence estimators in Britain [Texte imprimé et/ou numérique] / Anna GOODMAN, Auteur ; Robert GOODMAN, Auteur . - 2011 . - p.100-108.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 52-1 (January 2011) . - p.100-108
Mots-clés : Strengths and Difficulties Questionnaire population mean prevalence SDQ prevalence estimator Index. décimale : PER Périodiques Résumé : Background: For adult physical and mental health, the population mean predicts the proportion of individuals with ‘high’ scores. This has not previously been investigated for child mental health. It is also unclear how far symptom scores on brief questionnaires provide an unbiased method of comparing children with different individual, family or social characteristics.
Methods: Subjects were 18,415 British children aged 5–16 years. Parents, teachers, and children aged 11–16 completed Strengths and Difficulties Questionnaires (SDQs) and diagnostic interviews; the latter were used to assign multi-informant clinician-rated diagnoses. We examined how closely the prevalence of child mental disorder was predicted by SDQ mean total difficulty scores, and how these mean scores compared to alternative SDQ-based summary statistics. We did this for populations defined in terms of a wide range of risk factors using one randomly selected half of the study sample. Using these results we generated SDQ prevalence estimator equations, and validated these on the second half of the study sample.
Results: Mean symptom scores closely predicted the prevalence of clinician-rated child mental disorder (R2 = .89–.95) and performed better than alternative summary statistics based on binary SDQ outcomes. The predictions of the SDQ prevalence estimators were on average only 1–2% different from the true prevalence, with no systematic tendency towards under- or overestimation. There were only a few outlier subpopulations, all relating to children with learning difficulties.
Conclusion: The proportion of children with a disorder is closely predicted by mean symptom scores, highlighting the potential importance of population-wide interventions to improve child mental health. In Britain, SDQ mean total difficulty scores generally provide an accurate and unbiased method of assessing the mental health of different subgroups. SDQ prevalence estimators may facilitate presenting these research findings as proportions that are more easily interpreted by policymakers and service providers.En ligne : http://dx.doi.org/10.1111/j.1469-7610.2010.02278.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=113 A 20-year study of suicide death in a statewide autism population / A. V. KIRBY in Autism Research, 12-4 (April 2019)
[article]
Titre : A 20-year study of suicide death in a statewide autism population Type de document : Texte imprimé et/ou numérique Auteurs : A. V. KIRBY, Auteur ; Amanda V. BAKIAN, Auteur ; Y. ZHANG, Auteur ; Deborah A. BILDER, Auteur ; B. R. KEESHIN, Auteur ; H. COON, Auteur Article en page(s) : p.658-666 Langues : Anglais (eng) Mots-clés : autism spectrum disorder epidemiology mental health population suicide Index. décimale : PER Périodiques Résumé : SCIENTIFIC SUMMARY: Growing concern about suicide risk among individuals with autism spectrum disorder (ASD) necessitates population-based research to determine rates in representative samples and to inform appropriate prevention efforts. This study used existing surveillance data in Utah to determine incidence of suicide among individuals with ASD over a 20-year period, and to characterize those who died. Between 1998 and 2017, 49 individuals with ASD died by suicide. Suicide cumulative incidence rates did not significantly differ between 1998 and 2012 across the ASD and non-ASD populations. Between 2013 and 2017, the cumulative incidence of suicide in the ASD population was 0.17%, which was significantly higher than in the non-ASD population (0.11%; P < 0.05). During this period, this difference was driven by suicide among females with ASD; suicide risk in females with ASD was over three times higher than in females without ASD (relative risk (RR): 3.42; P < 0.01). Among the individuals with ASD who died by suicide, average age at death and manner of death did not differ significantly between males and females. Ages at death by suicide ranged from 14 to 70 years (M[SD] = 32.41[15.98]). Individuals with ASD were significantly less likely to use firearms as a method of suicide (adjusted odds ratio: 0.33; P < 0.001). Study results expand understanding of suicide risk in ASD and point to the need for additional population-based research into suicide attempts and ideation, as well as exploration of additional risk factors. Findings also suggest a need for further study of female suicide risk in ASD. Autism Research 2019, 12: 658-666. (c) 2019 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals, Inc. LAY SUMMARY: This study examined suicide risk among individuals with autism spectrum disorder (ASD) in Utah over a 20-year period. Risk of suicide death in individuals with ASD was found to have increased over time and to be greater than in individuals without ASD between 2013 and 2017. Females with ASD were over three times as likely to die from suicide as females without ASD. Young people with ASD were at over twice the risk of suicide than young people without ASD. Individuals with ASD were less likely than others to die from firearm-related suicides. En ligne : https://dx.doi.org/10.1002/aur.2076 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=389
in Autism Research > 12-4 (April 2019) . - p.658-666[article] A 20-year study of suicide death in a statewide autism population [Texte imprimé et/ou numérique] / A. V. KIRBY, Auteur ; Amanda V. BAKIAN, Auteur ; Y. ZHANG, Auteur ; Deborah A. BILDER, Auteur ; B. R. KEESHIN, Auteur ; H. COON, Auteur . - p.658-666.
Langues : Anglais (eng)
in Autism Research > 12-4 (April 2019) . - p.658-666
Mots-clés : autism spectrum disorder epidemiology mental health population suicide Index. décimale : PER Périodiques Résumé : SCIENTIFIC SUMMARY: Growing concern about suicide risk among individuals with autism spectrum disorder (ASD) necessitates population-based research to determine rates in representative samples and to inform appropriate prevention efforts. This study used existing surveillance data in Utah to determine incidence of suicide among individuals with ASD over a 20-year period, and to characterize those who died. Between 1998 and 2017, 49 individuals with ASD died by suicide. Suicide cumulative incidence rates did not significantly differ between 1998 and 2012 across the ASD and non-ASD populations. Between 2013 and 2017, the cumulative incidence of suicide in the ASD population was 0.17%, which was significantly higher than in the non-ASD population (0.11%; P < 0.05). During this period, this difference was driven by suicide among females with ASD; suicide risk in females with ASD was over three times higher than in females without ASD (relative risk (RR): 3.42; P < 0.01). Among the individuals with ASD who died by suicide, average age at death and manner of death did not differ significantly between males and females. Ages at death by suicide ranged from 14 to 70 years (M[SD] = 32.41[15.98]). Individuals with ASD were significantly less likely to use firearms as a method of suicide (adjusted odds ratio: 0.33; P < 0.001). Study results expand understanding of suicide risk in ASD and point to the need for additional population-based research into suicide attempts and ideation, as well as exploration of additional risk factors. Findings also suggest a need for further study of female suicide risk in ASD. Autism Research 2019, 12: 658-666. (c) 2019 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals, Inc. LAY SUMMARY: This study examined suicide risk among individuals with autism spectrum disorder (ASD) in Utah over a 20-year period. Risk of suicide death in individuals with ASD was found to have increased over time and to be greater than in individuals without ASD between 2013 and 2017. Females with ASD were over three times as likely to die from suicide as females without ASD. Young people with ASD were at over twice the risk of suicide than young people without ASD. Individuals with ASD were less likely than others to die from firearm-related suicides. En ligne : https://dx.doi.org/10.1002/aur.2076 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=389 Structure, longitudinal invariance, and stability of the Child Behavior Checklist 11/2-5's Diagnostic and Statistical Manual of Mental Disorders-Autism Spectrum Disorder scale: Findings from Generation R (Rotterdam) / L. A. RESCORLA in Autism, 23-1 (January 2019)
[article]
Titre : Structure, longitudinal invariance, and stability of the Child Behavior Checklist 11/2-5's Diagnostic and Statistical Manual of Mental Disorders-Autism Spectrum Disorder scale: Findings from Generation R (Rotterdam) Type de document : Texte imprimé et/ou numérique Auteurs : L. A. RESCORLA, Auteur ; A. GHASSABIAN, Auteur ; Masha Y. IVANOVA, Auteur ; Vincent W.V. JADDOE, Auteur ; F. C. VERHULST, Auteur ; H. TIEMEIER, Auteur Article en page(s) : p.223-235 Langues : Anglais (eng) Mots-clés : autism spectrum disorder symptoms Child Behavior Checklist 11/2-5 longitudinal stability measurement invariance preschoolers rating-scales identification traits population design cbcl Psychology Index. décimale : PER Périodiques Résumé : Although the Child Behavior Checklist 11/2-5's 12-item Diagnostic and Statistical Manual of Mental Disorders-Autism Spectrum Problems Scale (formerly called Pervasive Developmental Problems scale) has been used in several studies as an autism spectrum disorder screener, the base rate and stability of its items and its measurement model have not been previously studied. We therefore examined the structure, longitudinal invariance, and stability of the Child Behavior Checklist 11/2-5's Diagnostic and Statistical Manual of Mental Disorders-Autism Spectrum Problems Scale in the diverse Generation R (Rotterdam) sample based on mothers' ratings at 18 months (n = 4695), 3 years (n = 4571), and 5 years (n = 5752). Five items that seemed especially characteristic of autism spectrum disorder had low base rates at all three ages. The rank order of base rates for the 12 items was highly correlated over time (Qs > 0.86), but the longitudinal stability of individual items was modest (phi coefficients = 0.15-0.34). Confirmatory factor analyses indicated that the autism spectrum disorder scale model manifested configural, metric, and scalar longitudinal invariance over the time period from 18 months to 5 years, with large factor loadings. Correlations over time for observed autism spectrum disorder scale scores (0.25-0.50) were generally lower than the correlations across time of the latent factors (0.45-0.68). Results indicated significant associations of the autism spectrum disorder scale with later autism spectrum disorder diagnoses. En ligne : http://dx.doi.org/10.1177/1362361317736201 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=379
in Autism > 23-1 (January 2019) . - p.223-235[article] Structure, longitudinal invariance, and stability of the Child Behavior Checklist 11/2-5's Diagnostic and Statistical Manual of Mental Disorders-Autism Spectrum Disorder scale: Findings from Generation R (Rotterdam) [Texte imprimé et/ou numérique] / L. A. RESCORLA, Auteur ; A. GHASSABIAN, Auteur ; Masha Y. IVANOVA, Auteur ; Vincent W.V. JADDOE, Auteur ; F. C. VERHULST, Auteur ; H. TIEMEIER, Auteur . - p.223-235.
Langues : Anglais (eng)
in Autism > 23-1 (January 2019) . - p.223-235
Mots-clés : autism spectrum disorder symptoms Child Behavior Checklist 11/2-5 longitudinal stability measurement invariance preschoolers rating-scales identification traits population design cbcl Psychology Index. décimale : PER Périodiques Résumé : Although the Child Behavior Checklist 11/2-5's 12-item Diagnostic and Statistical Manual of Mental Disorders-Autism Spectrum Problems Scale (formerly called Pervasive Developmental Problems scale) has been used in several studies as an autism spectrum disorder screener, the base rate and stability of its items and its measurement model have not been previously studied. We therefore examined the structure, longitudinal invariance, and stability of the Child Behavior Checklist 11/2-5's Diagnostic and Statistical Manual of Mental Disorders-Autism Spectrum Problems Scale in the diverse Generation R (Rotterdam) sample based on mothers' ratings at 18 months (n = 4695), 3 years (n = 4571), and 5 years (n = 5752). Five items that seemed especially characteristic of autism spectrum disorder had low base rates at all three ages. The rank order of base rates for the 12 items was highly correlated over time (Qs > 0.86), but the longitudinal stability of individual items was modest (phi coefficients = 0.15-0.34). Confirmatory factor analyses indicated that the autism spectrum disorder scale model manifested configural, metric, and scalar longitudinal invariance over the time period from 18 months to 5 years, with large factor loadings. Correlations over time for observed autism spectrum disorder scale scores (0.25-0.50) were generally lower than the correlations across time of the latent factors (0.45-0.68). Results indicated significant associations of the autism spectrum disorder scale with later autism spectrum disorder diagnoses. En ligne : http://dx.doi.org/10.1177/1362361317736201 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=379