Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2020.

IF 37.3 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Mmwr Surveillance Summaries Pub Date : 2023-03-24 DOI:10.15585/mmwr.ss7202a1
Matthew J Maenner, Zachary Warren, Ashley Robinson Williams, Esther Amoakohene, Amanda V Bakian, Deborah A Bilder, Maureen S Durkin, Robert T Fitzgerald, Sarah M Furnier, Michelle M Hughes, Christine M Ladd-Acosta, Dedria McArthur, Elise T Pas, Angelica Salinas, Alison Vehorn, Susan Williams, Amy Esler, Andrea Grzybowski, Jennifer Hall-Lande, Ruby H N Nguyen, Karen Pierce, Walter Zahorodny, Allison Hudson, Libby Hallas, Kristen Clancy Mancilla, Mary Patrick, Josephine Shenouda, Kate Sidwell, Monica DiRienzo, Johanna Gutierrez, Margaret H Spivey, Maya Lopez, Sydney Pettygrove, Yvette D Schwenk, Anita Washington, Kelly A Shaw
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In 2020, there were 11 ADDM Network sites across the United States (Arizona, Arkansas, California, Georgia, Maryland, Minnesota, Missouri, New Jersey, Tennessee, Utah, and Wisconsin). To ascertain ASD among children aged 8 years, ADDM Network staff review and abstract developmental evaluations and records from community medical and educational service providers. A child met the case definition if their record documented 1) an ASD diagnostic statement in an evaluation, 2) a classification of ASD in special education, or 3) an ASD International Classification of Diseases (ICD) code.</p><p><strong>Results: </strong>For 2020, across all 11 ADDM sites, ASD prevalence per 1,000 children aged 8 years ranged from 23.1 in Maryland to 44.9 in California. The overall ASD prevalence was 27.6 per 1,000 (one in 36) children aged 8 years and was 3.8 times as prevalent among boys as among girls (43.0 versus 11.4). Overall, ASD prevalence was lower among non-Hispanic White children (24.3) and children of two or more races (22.9) than among non-Hispanic Black or African American (Black), Hispanic, and non-Hispanic Asian or Pacific Islander (A/PI) children (29.3, 31.6, and 33.4 respectively). ASD prevalence among non-Hispanic American Indian or Alaska Native (AI/AN) children (26.5) was similar to that of other racial and ethnic groups. ASD prevalence was associated with lower household income at three sites, with no association at the other sites.Across sites, the ASD prevalence per 1,000 children aged 8 years based exclusively on documented ASD diagnostic statements was 20.6 (range = 17.1 in Wisconsin to 35.4 in California). Of the 6,245 children who met the ASD case definition, 74.7% had a documented diagnostic statement of ASD, 65.2% had a documented ASD special education classification, 71.6% had a documented ASD ICD code, and 37.4% had all three types of ASD indicators. The median age of earliest known ASD diagnosis was 49 months and ranged from 36 months in California to 59 months in Minnesota.Among the 4,165 (66.7%) children with ASD with information on cognitive ability, 37.9% were classified as having an intellectual disability. Intellectual disability was present among 50.8% of Black, 41.5% of A/PI, 37.8% of two or more races, 34.9% of Hispanic, 34.8% of AI/AN, and 31.8% of White children with ASD. Overall, children with intellectual disability had earlier median ages of ASD diagnosis (43 months) than those without intellectual disability (53 months).</p><p><strong>Interpretation: </strong>For 2020, one in 36 children aged 8 years (approximately 4% of boys and 1% of girls) was estimated to have ASD. These estimates are higher than previous ADDM Network estimates during 2000-2018. For the first time among children aged 8 years, the prevalence of ASD was lower among White children than among other racial and ethnic groups, reversing the direction of racial and ethnic differences in ASD prevalence observed in the past. Black children with ASD were still more likely than White children with ASD to have a co-occurring intellectual disability.</p><p><strong>Public health action: </strong>The continued increase among children identified with ASD, particularly among non-White children and girls, highlights the need for enhanced infrastructure to provide equitable diagnostic, treatment, and support services for all children with ASD. 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引用次数: 0

Abstract

Problem/condition: Autism spectrum disorder (ASD).

Period covered: 2020.

Description of system: The Autism and Developmental Disabilities Monitoring (ADDM) Network is an active surveillance program that provides estimates of the prevalence of ASD among children aged 8 years. In 2020, there were 11 ADDM Network sites across the United States (Arizona, Arkansas, California, Georgia, Maryland, Minnesota, Missouri, New Jersey, Tennessee, Utah, and Wisconsin). To ascertain ASD among children aged 8 years, ADDM Network staff review and abstract developmental evaluations and records from community medical and educational service providers. A child met the case definition if their record documented 1) an ASD diagnostic statement in an evaluation, 2) a classification of ASD in special education, or 3) an ASD International Classification of Diseases (ICD) code.

Results: For 2020, across all 11 ADDM sites, ASD prevalence per 1,000 children aged 8 years ranged from 23.1 in Maryland to 44.9 in California. The overall ASD prevalence was 27.6 per 1,000 (one in 36) children aged 8 years and was 3.8 times as prevalent among boys as among girls (43.0 versus 11.4). Overall, ASD prevalence was lower among non-Hispanic White children (24.3) and children of two or more races (22.9) than among non-Hispanic Black or African American (Black), Hispanic, and non-Hispanic Asian or Pacific Islander (A/PI) children (29.3, 31.6, and 33.4 respectively). ASD prevalence among non-Hispanic American Indian or Alaska Native (AI/AN) children (26.5) was similar to that of other racial and ethnic groups. ASD prevalence was associated with lower household income at three sites, with no association at the other sites.Across sites, the ASD prevalence per 1,000 children aged 8 years based exclusively on documented ASD diagnostic statements was 20.6 (range = 17.1 in Wisconsin to 35.4 in California). Of the 6,245 children who met the ASD case definition, 74.7% had a documented diagnostic statement of ASD, 65.2% had a documented ASD special education classification, 71.6% had a documented ASD ICD code, and 37.4% had all three types of ASD indicators. The median age of earliest known ASD diagnosis was 49 months and ranged from 36 months in California to 59 months in Minnesota.Among the 4,165 (66.7%) children with ASD with information on cognitive ability, 37.9% were classified as having an intellectual disability. Intellectual disability was present among 50.8% of Black, 41.5% of A/PI, 37.8% of two or more races, 34.9% of Hispanic, 34.8% of AI/AN, and 31.8% of White children with ASD. Overall, children with intellectual disability had earlier median ages of ASD diagnosis (43 months) than those without intellectual disability (53 months).

Interpretation: For 2020, one in 36 children aged 8 years (approximately 4% of boys and 1% of girls) was estimated to have ASD. These estimates are higher than previous ADDM Network estimates during 2000-2018. For the first time among children aged 8 years, the prevalence of ASD was lower among White children than among other racial and ethnic groups, reversing the direction of racial and ethnic differences in ASD prevalence observed in the past. Black children with ASD were still more likely than White children with ASD to have a co-occurring intellectual disability.

Public health action: The continued increase among children identified with ASD, particularly among non-White children and girls, highlights the need for enhanced infrastructure to provide equitable diagnostic, treatment, and support services for all children with ASD. Similar to previous reporting periods, findings varied considerably across network sites, indicating the need for additional research to understand the nature of such differences and potentially apply successful identification strategies across states.

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自闭症谱系障碍在 8 岁儿童中的患病率和特征 - 自闭症和发育障碍监测网络,11 个站点,美国,2020 年。
问题/条件:自闭症谱系障碍(ASD):自闭症谱系障碍 (ASD).覆盖时期:2020 年.系统描述:自闭症和发育障碍监测(ADDM)网络是一项积极的监测计划,提供8岁儿童中自闭症谱系障碍患病率的估计值。2020 年,全美共有 11 个 ADDM 网络站点(亚利桑那州、阿肯色州、加利福尼亚州、佐治亚州、马里兰州、明尼苏达州、密苏里州、新泽西州、田纳西州、犹他州和威斯康星州)。为了确定 8 岁儿童是否患有 ASD,ADDM 网络的工作人员从社区医疗和教育服务提供者处审查和摘录发育评估和记录。如果儿童的记录中包含:1)评估中的 ASD 诊断声明;2)特殊教育中的 ASD 分类;或 3)ASD 国际疾病分类 (ICD) 代码,则该儿童符合病例定义:2020 年,在所有 11 个 ADDM 站点中,每千名 8 岁儿童的 ASD 患病率从马里兰州的 23.1 到加利福尼亚州的 44.9 不等。每 1000 名 8 岁儿童中 ASD 的总体患病率为 27.6(每 36 人中有 1 人),男孩的患病率是女孩的 3.8 倍(43.0 对 11.4)。总体而言,非西班牙裔白人儿童(24.3)和两个或两个以上种族儿童(22.9)的 ASD 患病率低于非西班牙裔黑人或非裔美国人(黑人)、西班牙裔和非西班牙裔亚裔或太平洋岛民(A/PI)儿童(分别为 29.3、31.6 和 33.4)。非西班牙裔美国印第安人或阿拉斯加原住民(AI/AN)儿童的 ASD 患病率(26.5)与其他种族和族裔群体的患病率相似。在三个研究地点,ASD发病率与较低的家庭收入有关,而在其他研究地点则没有关联。在所有研究地点,每千名8岁儿童中完全基于有据可查的ASD诊断陈述的ASD发病率为20.6(范围=威斯康星州的17.1至加利福尼亚州的35.4)。在符合 ASD 病例定义的 6,245 名儿童中,74.7% 有 ASD 诊断陈述记录,65.2% 有 ASD 特殊教育分类记录,71.6% 有 ASD ICD 编码记录,37.4% 有所有三种 ASD 指标。最早确诊 ASD 的年龄中位数为 49 个月,从加利福尼亚州的 36 个月到明尼苏达州的 59 个月不等。在 4,165 名(66.7%)有认知能力信息的 ASD 儿童中,37.9% 被归类为智力残疾。在患有 ASD 的儿童中,50.8% 的黑人儿童、41.5% 的 A/PI 儿童、37.8% 的两个或两个以上种族儿童、34.9% 的西班牙裔儿童、34.8% 的美国原住民/印第安人儿童和 31.8% 的白人儿童患有智力障碍。总体而言,智障儿童确诊 ASD 的中位年龄(43 个月)早于非智障儿童(53 个月):据估计,2020 年每 36 名 8 岁儿童中就有一名(约占男孩的 4%,女孩的 1%)患有 ASD。这些估计值高于 2000-2018 年期间 ADDM 网络的先前估计值。在 8 岁儿童中,白人儿童的 ASD 患病率首次低于其他种族和族裔群体,扭转了过去观察到的 ASD 患病率种族和族裔差异的方向。患有自闭症的黑人儿童仍比患有自闭症的白人儿童更有可能同时患有智力残疾:被确认患有 ASD 的儿童人数持续增加,尤其是非白人儿童和女童,这突出表明需要加强基础设施建设,为所有患有 ASD 的儿童提供公平的诊断、治疗和支持服务。与之前的报告期类似,各网络站点的研究结果差异很大,这表明有必要开展更多研究,以了解这些差异的性质,并有可能在各州应用成功的识别策略。
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来源期刊
Mmwr Surveillance Summaries
Mmwr Surveillance Summaries PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
60.50
自引率
1.20%
发文量
9
期刊介绍: The Morbidity and Mortality Weekly Report (MMWR) Series, produced by the Centers for Disease Control and Prevention (CDC), is commonly referred to as "the voice of CDC." Serving as the primary outlet for timely, reliable, authoritative, accurate, objective, and practical public health information and recommendations, the MMWR is a crucial publication. Its readership primarily includes physicians, nurses, public health practitioners, epidemiologists, scientists, researchers, educators, and laboratorians.
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