M. Valenti, R. Vagnetti, F. Masedu, M. Pino, A. Rossi, M. Scattoni, M. Mazza, EAGLE GROUP
{"title":"意大利中部儿童和青少年自闭症谱系障碍的登记累积患病率","authors":"M. Valenti, R. Vagnetti, F. Masedu, M. Pino, A. Rossi, M. Scattoni, M. Mazza, EAGLE GROUP","doi":"10.2427/13226","DOIUrl":null,"url":null,"abstract":"\nBackground: Studies have evaluated the prevalence of Autism Spectrum Disorders (ASD), focusing on different ages during childhood and adolescence. How cumulative prevalence increases before adulthood remains unclear. \nMethods: We used data from the Autism Register of the Regional Reference Centre for Autism in L’Aquila, Central Italy, to retrieve information on individuals born in 2001–2012 with any of the inclusion diagnoses of ASD (DSM criteria) for the period 2001 to 2018. Cumulative prevalence on L’Aquila district population data was calculated as percentages for three-year age strata. \nResults: All prevalence data were estimated at December 31st, 2018. The overall crude prevalence was 0.95% (352 cases over 36938 population). Cumulative prevalence was 1.19% among those born in 2001-2003 (15 to 17 years of follow up), 1.15% among those born in 2004-2006 (12 to 14 years of follow up), 1.04% among those born in 2007-2009 (9 to 11 years of follow up), 0.80% among those born in 2010-2012 (6 to 8 years of follow up), and 0.57% among those born in 2013-2015 (3 to 5 years of follow up). The proportion of ASD diagnoses until the age of 5 years, compared to the group diagnosed 6 to 8 years of age, showed a significant increasing trend over calendar time (53.6% for those born in 2001-2003, to 77.0% for those born in 2010-2012). \nConclusions: Cumulative prevalence by time period provides a better understanding of ASD occurrence than a point prevalence. We did not find any difference in frequency of diagnosis comparing age strata and year of birth, suggesting that frequencies of ASD diagnosis remained roughly constant from 2001 to 2015. Results show that cumulative prevalence of autism diagnosis does not substantially change over time; instead, diagnosis of ASD is more likely at earliest ages over time, although new cases of ASD are also detected at later ages. \n","PeriodicalId":45811,"journal":{"name":"Epidemiology Biostatistics and Public Health","volume":"134 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Register-based cumulative prevalence of Autism Spectrum Disorders during childhood and adolescence in Central Italy\",\"authors\":\"M. Valenti, R. Vagnetti, F. Masedu, M. Pino, A. Rossi, M. Scattoni, M. Mazza, EAGLE GROUP\",\"doi\":\"10.2427/13226\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nBackground: Studies have evaluated the prevalence of Autism Spectrum Disorders (ASD), focusing on different ages during childhood and adolescence. How cumulative prevalence increases before adulthood remains unclear. \\nMethods: We used data from the Autism Register of the Regional Reference Centre for Autism in L’Aquila, Central Italy, to retrieve information on individuals born in 2001–2012 with any of the inclusion diagnoses of ASD (DSM criteria) for the period 2001 to 2018. Cumulative prevalence on L’Aquila district population data was calculated as percentages for three-year age strata. \\nResults: All prevalence data were estimated at December 31st, 2018. The overall crude prevalence was 0.95% (352 cases over 36938 population). Cumulative prevalence was 1.19% among those born in 2001-2003 (15 to 17 years of follow up), 1.15% among those born in 2004-2006 (12 to 14 years of follow up), 1.04% among those born in 2007-2009 (9 to 11 years of follow up), 0.80% among those born in 2010-2012 (6 to 8 years of follow up), and 0.57% among those born in 2013-2015 (3 to 5 years of follow up). The proportion of ASD diagnoses until the age of 5 years, compared to the group diagnosed 6 to 8 years of age, showed a significant increasing trend over calendar time (53.6% for those born in 2001-2003, to 77.0% for those born in 2010-2012). \\nConclusions: Cumulative prevalence by time period provides a better understanding of ASD occurrence than a point prevalence. We did not find any difference in frequency of diagnosis comparing age strata and year of birth, suggesting that frequencies of ASD diagnosis remained roughly constant from 2001 to 2015. Results show that cumulative prevalence of autism diagnosis does not substantially change over time; instead, diagnosis of ASD is more likely at earliest ages over time, although new cases of ASD are also detected at later ages. \\n\",\"PeriodicalId\":45811,\"journal\":{\"name\":\"Epidemiology Biostatistics and Public Health\",\"volume\":\"134 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Epidemiology Biostatistics and Public Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2427/13226\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Nursing\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epidemiology Biostatistics and Public Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2427/13226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Nursing","Score":null,"Total":0}
Register-based cumulative prevalence of Autism Spectrum Disorders during childhood and adolescence in Central Italy
Background: Studies have evaluated the prevalence of Autism Spectrum Disorders (ASD), focusing on different ages during childhood and adolescence. How cumulative prevalence increases before adulthood remains unclear.
Methods: We used data from the Autism Register of the Regional Reference Centre for Autism in L’Aquila, Central Italy, to retrieve information on individuals born in 2001–2012 with any of the inclusion diagnoses of ASD (DSM criteria) for the period 2001 to 2018. Cumulative prevalence on L’Aquila district population data was calculated as percentages for three-year age strata.
Results: All prevalence data were estimated at December 31st, 2018. The overall crude prevalence was 0.95% (352 cases over 36938 population). Cumulative prevalence was 1.19% among those born in 2001-2003 (15 to 17 years of follow up), 1.15% among those born in 2004-2006 (12 to 14 years of follow up), 1.04% among those born in 2007-2009 (9 to 11 years of follow up), 0.80% among those born in 2010-2012 (6 to 8 years of follow up), and 0.57% among those born in 2013-2015 (3 to 5 years of follow up). The proportion of ASD diagnoses until the age of 5 years, compared to the group diagnosed 6 to 8 years of age, showed a significant increasing trend over calendar time (53.6% for those born in 2001-2003, to 77.0% for those born in 2010-2012).
Conclusions: Cumulative prevalence by time period provides a better understanding of ASD occurrence than a point prevalence. We did not find any difference in frequency of diagnosis comparing age strata and year of birth, suggesting that frequencies of ASD diagnosis remained roughly constant from 2001 to 2015. Results show that cumulative prevalence of autism diagnosis does not substantially change over time; instead, diagnosis of ASD is more likely at earliest ages over time, although new cases of ASD are also detected at later ages.
期刊介绍:
Epidemiology, Biostatistics, and Public Health (EBPH) is a multidisciplinary journal that has two broad aims: -To support the international public health community with publications on health service research, health care management, health policy, and health economics. -To strengthen the evidences on effective preventive interventions. -To advance public health methods, including biostatistics and epidemiology. EBPH welcomes submissions on all public health issues (including topics like eHealth, big data, personalized prevention, epidemiology and risk factors of chronic and infectious diseases); on basic and applied research in epidemiology; and in biostatistics methodology. Primary studies, systematic reviews, and meta-analyses are all welcome, as are research protocols for observational and experimental studies. EBPH aims to be a cross-discipline, international forum for scientific integration and evidence-based policymaking, combining the methodological aspects of epidemiology, biostatistics, and public health research with their practical applications.