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Auteur J. F. LECKMAN |
Documents disponibles écrits par cet auteur (2)
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Prevalence of mental disorders in school children and adolescents in China: diagnostic data from detailed clinical assessments of 17,524 individuals / F. LI in Journal of Child Psychology and Psychiatry, 63-1 (January 2022)
[article]
Titre : Prevalence of mental disorders in school children and adolescents in China: diagnostic data from detailed clinical assessments of 17,524 individuals Type de document : Texte imprimé et/ou numérique Auteurs : F. LI, Auteur ; Y. CUI, Auteur ; Y. LI, Auteur ; L. GUO, Auteur ; X. KE, Auteur ; J. LIU, Auteur ; X. LUO, Auteur ; Y. ZHENG, Auteur ; J. F. LECKMAN, Auteur Article en page(s) : p.34-46 Langues : Anglais (eng) Mots-clés : Adolescent Attention Deficit and Disruptive Behavior Disorders Child China/epidemiology Comorbidity Depressive Disorder, Major Diagnostic and Statistical Manual of Mental Disorders Female Humans Male Mental Disorders/diagnosis/epidemiology Prevalence China adolescents children mental disorder prevalence Index. décimale : PER Périodiques Résumé : BACKGROUND: To date, no national-scale psychiatric epidemiological survey for children and adolescents has been conducted in China. In order to inform government officials and policymakers and to develop a comprehensive plan for service providers, there was a clear need to conduct an up-to-date systematic nationwide psychiatric epidemiological survey. METHODS: We conducted a two-stage large-scale psychiatric point prevalence survey. Multistage cluster stratified random sampling was used as the sampling strategy. Five provinces were selected by comprehensively considering geographical partition, economic development, and rural/urban factors. In Stage 1, the Child Behavior Checklist was used as the screening tool. In Stage 2, Mini-International Neuropsychiatric Interview for Children and Adolescents and a diagnostic process based on the Diagnostic and Statistical Manual were used to make the diagnoses. Sampling weights and poststratification weights were employed to match the population distributions. Exploratory analyses were also performed using socio-demographic factors. Prevalence in socio-demographic factor subgroups and overall were estimated. Rao-Scott adjusted chi-square tests were utilized to determine if between-group differences were present. Factor interactions were checked by logistic regression analyses. RESULTS: A total of 73,992 participants aged 6-16?years of age were selected in Stage 1. In Stage 2, 17,524 individuals were screened and diagnosed. The weighted prevalence of any disorder was 17.5% (95% CI: 17.2-18.0). Statistically significant differences in prevalence of any psychiatric disorder were observed between sexes [?(2) (1, N?=?71,929)?=?223.0, p?.001], age groups [?(2) (1, N?=?71,929)?=?18.6, p?.001] and developed vs. developing areas [?(2) (1, N?=?71,929)?=?2,129.6, p?.001], while no difference was found between rural and urban areas [?(2) (1, N?=?71,929)?=?1.4, p?=?.239]. Male, younger individuals, children, and adolescents from developed areas had higher prevalence of any psychiatric disorder. The prevalence of any psychiatric disorder was found to decrease with the age in the male group, while the female group increased with the age. Individuals diagnosed with attention-deficit hyperactivity disorder, oppositional defiant disorder, a tic disorder, conduct disorder, and major depression disorder had the highest rates of comorbidity. CONCLUSIONS: The prevalence of any psychiatric disorder we found is the highest ever reported in China. These results urgently need to be addressed by public mental health service providers and policymakers in order to provide access to the necessary treatments and to reduce the long-term negative impact of these conditions on families and the society as a whole. En ligne : http://dx.doi.org/10.1111/jcpp.13445 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456
in Journal of Child Psychology and Psychiatry > 63-1 (January 2022) . - p.34-46[article] Prevalence of mental disorders in school children and adolescents in China: diagnostic data from detailed clinical assessments of 17,524 individuals [Texte imprimé et/ou numérique] / F. LI, Auteur ; Y. CUI, Auteur ; Y. LI, Auteur ; L. GUO, Auteur ; X. KE, Auteur ; J. LIU, Auteur ; X. LUO, Auteur ; Y. ZHENG, Auteur ; J. F. LECKMAN, Auteur . - p.34-46.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 63-1 (January 2022) . - p.34-46
Mots-clés : Adolescent Attention Deficit and Disruptive Behavior Disorders Child China/epidemiology Comorbidity Depressive Disorder, Major Diagnostic and Statistical Manual of Mental Disorders Female Humans Male Mental Disorders/diagnosis/epidemiology Prevalence China adolescents children mental disorder prevalence Index. décimale : PER Périodiques Résumé : BACKGROUND: To date, no national-scale psychiatric epidemiological survey for children and adolescents has been conducted in China. In order to inform government officials and policymakers and to develop a comprehensive plan for service providers, there was a clear need to conduct an up-to-date systematic nationwide psychiatric epidemiological survey. METHODS: We conducted a two-stage large-scale psychiatric point prevalence survey. Multistage cluster stratified random sampling was used as the sampling strategy. Five provinces were selected by comprehensively considering geographical partition, economic development, and rural/urban factors. In Stage 1, the Child Behavior Checklist was used as the screening tool. In Stage 2, Mini-International Neuropsychiatric Interview for Children and Adolescents and a diagnostic process based on the Diagnostic and Statistical Manual were used to make the diagnoses. Sampling weights and poststratification weights were employed to match the population distributions. Exploratory analyses were also performed using socio-demographic factors. Prevalence in socio-demographic factor subgroups and overall were estimated. Rao-Scott adjusted chi-square tests were utilized to determine if between-group differences were present. Factor interactions were checked by logistic regression analyses. RESULTS: A total of 73,992 participants aged 6-16?years of age were selected in Stage 1. In Stage 2, 17,524 individuals were screened and diagnosed. The weighted prevalence of any disorder was 17.5% (95% CI: 17.2-18.0). Statistically significant differences in prevalence of any psychiatric disorder were observed between sexes [?(2) (1, N?=?71,929)?=?223.0, p?.001], age groups [?(2) (1, N?=?71,929)?=?18.6, p?.001] and developed vs. developing areas [?(2) (1, N?=?71,929)?=?2,129.6, p?.001], while no difference was found between rural and urban areas [?(2) (1, N?=?71,929)?=?1.4, p?=?.239]. Male, younger individuals, children, and adolescents from developed areas had higher prevalence of any psychiatric disorder. The prevalence of any psychiatric disorder was found to decrease with the age in the male group, while the female group increased with the age. Individuals diagnosed with attention-deficit hyperactivity disorder, oppositional defiant disorder, a tic disorder, conduct disorder, and major depression disorder had the highest rates of comorbidity. CONCLUSIONS: The prevalence of any psychiatric disorder we found is the highest ever reported in China. These results urgently need to be addressed by public mental health service providers and policymakers in order to provide access to the necessary treatments and to reduce the long-term negative impact of these conditions on families and the society as a whole. En ligne : http://dx.doi.org/10.1111/jcpp.13445 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456 What are we optimizing for in autism screening? Examination of algorithmic changes in the M-CHAT / Synnve SCHJØLBERG in Autism Research, 15-2 (February 2022)
[article]
Titre : What are we optimizing for in autism screening? Examination of algorithmic changes in the M-CHAT Type de document : Texte imprimé et/ou numérique Auteurs : Synnve SCHJØLBERG, Auteur ; F. SHIC, Auteur ; Fred R. VOLKMAR, Auteur ; Anders NORDAHL-HANSEN, Auteur ; N. STENBERG, Auteur ; T. TORSKE, Auteur ; K. LARSEN, Auteur ; K. RILEY, Auteur ; D. G. SUKHODOLSKY, Auteur ; J. F. LECKMAN, Auteur ; Katarzyna CHAWARSKA, Auteur ; Roald A. ØIEN, Auteur Article en page(s) : p.296-304 Langues : Anglais (eng) Mots-clés : children early detection psychometrics (includes financial disclosures): None Index. décimale : PER Périodiques Résumé : The present study objectives were to examine the performance of the new M-CHAT-R algorithm to the original M-CHAT algorithm. The main purpose was to examine if the algorithmic changes increase identification of children later diagnosed with ASD, and to examine if there is a trade-off when changing algorithms. We included 54,463 screened cases from the Norwegian Mother and Child Cohort Study. Children were screened using the 23 items of the M-CHAT at 18?months. Further, the performance of the M-CHAT-R algorithm was compared to the M-CHAT algorithm on the 23-items. In total, 337 individuals were later diagnosed with ASD. Using M-CHAT-R algorithm decreased the number of correctly identified ASD children by 12 compared to M-CHAT, with no children with ASD screening negative on the M-CHAT criteria subsequently screening positive utilizing the M-CHAT-R algorithm. A nonparametric McNemar's test determined a statistically significant difference in identifying ASD utilizing the M-CHAT-R algorithm. The present study examined the application of 20-item MCHAT-R scoring criterion to the 23-item MCHAT. We found that this resulted in decreased sensitivity and increased specificity for identifying children with ASD, which is a trade-off that needs further investigation in terms of cost-effectiveness. However, further research is needed to optimize screening for ASD in the early developmental period to increase identification of false negatives. En ligne : http://dx.doi.org/10.1002/aur.2643 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450
in Autism Research > 15-2 (February 2022) . - p.296-304[article] What are we optimizing for in autism screening? Examination of algorithmic changes in the M-CHAT [Texte imprimé et/ou numérique] / Synnve SCHJØLBERG, Auteur ; F. SHIC, Auteur ; Fred R. VOLKMAR, Auteur ; Anders NORDAHL-HANSEN, Auteur ; N. STENBERG, Auteur ; T. TORSKE, Auteur ; K. LARSEN, Auteur ; K. RILEY, Auteur ; D. G. SUKHODOLSKY, Auteur ; J. F. LECKMAN, Auteur ; Katarzyna CHAWARSKA, Auteur ; Roald A. ØIEN, Auteur . - p.296-304.
Langues : Anglais (eng)
in Autism Research > 15-2 (February 2022) . - p.296-304
Mots-clés : children early detection psychometrics (includes financial disclosures): None Index. décimale : PER Périodiques Résumé : The present study objectives were to examine the performance of the new M-CHAT-R algorithm to the original M-CHAT algorithm. The main purpose was to examine if the algorithmic changes increase identification of children later diagnosed with ASD, and to examine if there is a trade-off when changing algorithms. We included 54,463 screened cases from the Norwegian Mother and Child Cohort Study. Children were screened using the 23 items of the M-CHAT at 18?months. Further, the performance of the M-CHAT-R algorithm was compared to the M-CHAT algorithm on the 23-items. In total, 337 individuals were later diagnosed with ASD. Using M-CHAT-R algorithm decreased the number of correctly identified ASD children by 12 compared to M-CHAT, with no children with ASD screening negative on the M-CHAT criteria subsequently screening positive utilizing the M-CHAT-R algorithm. A nonparametric McNemar's test determined a statistically significant difference in identifying ASD utilizing the M-CHAT-R algorithm. The present study examined the application of 20-item MCHAT-R scoring criterion to the 23-item MCHAT. We found that this resulted in decreased sensitivity and increased specificity for identifying children with ASD, which is a trade-off that needs further investigation in terms of cost-effectiveness. However, further research is needed to optimize screening for ASD in the early developmental period to increase identification of false negatives. En ligne : http://dx.doi.org/10.1002/aur.2643 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450