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Hong JS, Perrin J, Singh V, Kalb L, Cross EA, Wodka E, Richter C, Landa R. Psychometric Evaluation of the Autism Spectrum Rating Scales (6-18 Years Parent Report) in a Clinical Sample. J Autism Dev Disord 2024; 54:1024-1035. [PMID: 36571625 PMCID: PMC9791153 DOI: 10.1007/s10803-022-05871-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/12/2022] [Indexed: 12/27/2022]
Abstract
ASD is a neurodevelopmental disorder impacting 1 in 44 children and early identification of children with ASD is critical for the intervention. Several screening measures have been developed for early identification, including the Autism Spectrum Rating Scales, 6-18 years Parent Report (ASRS). The ASRS has been understudied, and the current study assessed the validity of the ASRS in a clinical sample of 490 children at a tertiary ASD-specialty clinic. Results indicated that the ASRS demonstrated favorable sensitivity, but poor specificity. True positive screening results were more likely to occur for children with a multiracial background, while they were less likely to occur for children with a high social capital. Overall, though the ASRS has clinical utility as a screening measure, it did not perform effectively to differentiate ASD from Non-ASD clinical disorders.
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Affiliation(s)
- Ji Su Hong
- Center for Autism and Related Disorders, Kennedy Krieger Institute, 3901 Greenspring Ave, 21211, Baltimore, MD, USA.
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, USA.
| | - Jeremy Perrin
- Center for Autism and Related Disorders, Kennedy Krieger Institute, 3901 Greenspring Ave, 21211, Baltimore, MD, USA
| | - Vini Singh
- Center for Autism and Related Disorders, Kennedy Krieger Institute, 3901 Greenspring Ave, 21211, Baltimore, MD, USA
| | - Luke Kalb
- Center for Autism and Related Disorders, Kennedy Krieger Institute, 3901 Greenspring Ave, 21211, Baltimore, MD, USA
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, USA
| | - Elizabeth A Cross
- Center for Autism and Related Disorders, Kennedy Krieger Institute, 3901 Greenspring Ave, 21211, Baltimore, MD, USA
| | - Ericka Wodka
- Center for Autism and Related Disorders, Kennedy Krieger Institute, 3901 Greenspring Ave, 21211, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Chana Richter
- Center for Autism and Related Disorders, Kennedy Krieger Institute, 3901 Greenspring Ave, 21211, Baltimore, MD, USA
| | - Rebecca Landa
- Center for Autism and Related Disorders, Kennedy Krieger Institute, 3901 Greenspring Ave, 21211, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, USA
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2
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Zhang D, Liu R, Li X, Yuan Y, Zhou G. How do self-exempt beliefs affect intentions to quit smoking? An exploration of the mediating role of threat appraisal and coping appraisal. Front Psychol 2023; 14:1260561. [PMID: 38098517 PMCID: PMC10720447 DOI: 10.3389/fpsyg.2023.1260561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 10/30/2023] [Indexed: 12/17/2023] Open
Abstract
Introduction Numerous smokers are cognizant of the detrimental effects associated with this habit yet exhibit a persistent reluctance to cease their tobacco consumption. Self-exempt beliefs serve as an obstacle to the cessation of this addictive behavior. This research explored the impact of self-exempt beliefs on the readiness to quit smoking based on the Protection Motivation Theory (PMT) model and the mediating roles of threat appraisal and coping appraisal. Methods Self-exempt beliefs, PMT constructs, and the intention to quit smoking constituted the theoretical model. The questionnaires were collected from 488 Chinese adult male smokers based on snowball sampling. Exploratory Factor Analysis (EFA) was used to examine the underlying factor structure of the pre-designed self-exempt beliefs scale. The reliability, validity, path coefficients, and explanatory power of the model were calculated using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results and discussion The results showed that : (1) three common factors (skeptic beliefs, bulletproof beliefs, and "worth it" beliefs) with a total of 11 items were retained after EFA; (2) skeptic beliefs and "worth it" beliefs had a significantly negative effect on both threat appraisal and coping appraisal, while bulletproof beliefs did not; (3) bulletproof beliefs had a significantly positive direct impact on intention to quit, "worth it" beliefs had a significantly negative direct impact on intention, while skeptic beliefs had no significantly direct impact on intention; (4) threat appraisal and coping appraisal positively and significantly predicted cessation intention; and (5) threat appraisal and coping appraisal, as two main cognitive processes, acted as full mediations between skeptic beliefs and the intention to quit, as complementary partial mediations between "worth it" beliefs and the intention, and as non-mediation between bulletproof beliefs and the intention. Our findings suggest that efforts to undermine or "prevent" these self-exempt beliefs, particularly "worth it" and skeptic beliefs, may be an effective tactic for health communication interventions for quitting smoking.
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Affiliation(s)
- Dan Zhang
- School of Medicine and Health Management, Guizhou Medical University, Guiyang, China
- Center of Medicine Economics and Management Research, Guizhou Medical University, Guiyang, China
- Guizhou Provincial Institute of Health Development, Guizhou Medical University, Guiyang, China
| | - Runhua Liu
- School of Medicine and Health Management, Guizhou Medical University, Guiyang, China
- Center of Medicine Economics and Management Research, Guizhou Medical University, Guiyang, China
- Guizhou Provincial Institute of Health Development, Guizhou Medical University, Guiyang, China
| | - Xinchen Li
- School of Medicine and Health Management, Guizhou Medical University, Guiyang, China
| | - Yuanyuan Yuan
- Department of Management Engineering, Guizhou Traffic Technician and Transportation College, Guiyang, China
| | - Geyao Zhou
- School of Medicine and Health Management, Guizhou Medical University, Guiyang, China
- Center of Medicine Economics and Management Research, Guizhou Medical University, Guiyang, China
- Guizhou Provincial Institute of Health Development, Guizhou Medical University, Guiyang, China
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3
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Yan W, Siegert RJ, Zhou H, Zou X, Wu L, Luo X, Li T, Huang Y, Guan H, Chen X, Mao M, Xia K, Zhang L, Li E, Li C, Zhang X, Zhou Y, Shih A, Fombonne E, Zheng Y, Han J, Sun Z, Jiang YH, Wang Y. Psychometric properties of the Chinese Parent Version of the Autism Spectrum Rating Scale: Rasch analysis. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2021; 25:1872-1884. [PMID: 33845648 PMCID: PMC8548063 DOI: 10.1177/13623613211004054] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
LAY ABSTRACT The Autism Spectrum Rating Scale is a behavioural rating scale completed by parents and teachers that is useful for identifying children with an autism spectrum disorder. The development of a modified Autism Spectrum Rating Scale suitable for use in China is important for the identification of children in China with an autism spectrum disorder. In this study, we examined the Modified Chinese Autism Spectrum Rating Scale using a statistical technique known as Rasch analysis. Rasch analysis tests whether the questionnaire meets the standards for modern scientific measurement. We used Rasch analysis to examine data from 2013 children in China including 420 diagnosed with an autism spectrum disorder who had been rated by a parent or grandparent. After removing a small number of items (questions), the Modified Chinese Autism Spectrum Rating Scale met the stringent criteria for Rasch measurement. The availability of a reliable and precise tool for assessing behaviours characteristic of an autism spectrum disorder in Chinese children will improve the identification and diagnosis of autism spectrum disorder in China, thus enabling better provision of support services.
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Affiliation(s)
- Weili Yan
- Children’s Hospital of Fudan University, China
| | | | - Hao Zhou
- Children’s Hospital of Fudan University, China
| | | | - Lijie Wu
- Harbin Medical University, China
| | - Xuerong Luo
- The Second Xiangya Hospital of Central South University, China
| | - Tingyu Li
- Children’s Hospital of Chongqing Medical University, China
| | - Yi Huang
- West China Hospital of Sichuan University, China
| | | | - Xiang Chen
- The 2nd Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, China
| | - Meng Mao
- Chengdu Women and Children’s Hospital, China
| | - Kun Xia
- Central South University, China
| | - Lan Zhang
- Chengdu Women and Children’s Hospital, China
| | - Erzhen Li
- Capital Institute of Paediatrics, China
| | - Chunpei Li
- Children’s Hospital of Fudan University, China
| | | | | | | | | | - Yi Zheng
- Capital Medical University, China
| | | | - Zhongsheng Sun
- Beijing Institutes of Life Science, Chinese Academy of Sciences, China
| | - Yong-hui Jiang
- Department of Genetics, Pediatrics, & Neuroscience, Yale University School of Medicine, New Haven, CT, USA
| | - Yi Wang
- Children’s Hospital of Fudan University, China
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4
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Shulman C, Rice CE, Morrier MJ, Esler A. The Role of Diagnostic Instruments in Dual and Differential Diagnosis in Autism Spectrum Disorder Across the Lifespan. Psychiatr Clin North Am 2020; 43:605-628. [PMID: 33126998 DOI: 10.1016/j.psc.2020.08.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
The heterogeneity inherent in autism spectrum disorder (ASD) makes the identification and diagnosis of ASD complex. We survey a large number of diagnostic tools, including screeners and tools designed for in-depth assessment. We also discuss the challenges presented by overlapping symptomatology between ASD and other disorders and the need to determine whether a diagnosis of ASD or another diagnosis best explains the individual's symptoms. We conclude with a call to action for the next steps necessary for meeting the diagnostic challenges presented here to improve the diagnostic process and to help understand each individual's particular ASD profile.
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Affiliation(s)
- Cory Shulman
- The Paul Baerwald School of Social Work and Social Welfare, The Hebrew University of Jerusalem, Mount Scopus, Jerusalem, 91905, Israel.
| | - Catherine E Rice
- Emory Autism Center, 1551 Shoup Court, Department of Psychiatry & Behavioral Sciences, Emory University School of Medicine, Decatur, GA 30033, USA
| | - Michael J Morrier
- Emory Autism Center, 1551 Shoup Court, Department of Psychiatry & Behavioral Sciences, Emory University School of Medicine, Decatur, GA 30033, USA
| | - Amy Esler
- Division of Clinical Behavioral Neuroscience, Department of Pediatrics, University of Minnesota 2540 Riverside Ave S., RPB 550, Minneapolis, MN 55454, USA
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5
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Zhou H, Xu X, Yan W, Zou X, Wu L, Luo X, Li T, Huang Y, Guan H, Chen X, Mao M, Xia K, Zhang L, Li E, Ge X, Zhang L, Li C, Zhang X, Zhou Y, Ding D, Shih A, Fombonne E, Zheng Y, Han J, Sun Z, Jiang YH, Wang Y. Prevalence of Autism Spectrum Disorder in China: A Nationwide Multi-center Population-based Study Among Children Aged 6 to 12 Years. Neurosci Bull 2020; 36:961-971. [PMID: 32607739 DOI: 10.1007/s12264-020-00530-6] [Citation(s) in RCA: 194] [Impact Index Per Article: 38.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2019] [Accepted: 04/06/2020] [Indexed: 02/05/2023] Open
Abstract
This study aimed to obtain the first national estimate of the prevalence of autism spectrum disorder (ASD) in Chinese children. We targeted the population of 6 to 12-year-old children for this prevalence study by multistage convenient cluster sampling. The Modified Chinese Autism Spectrum Rating Scale was used for the screening process. Of the target population of 142,086 children, 88.5% (n = 125,806) participated in the study. A total of 363 children were confirmed as having ASD. The observed ASD prevalence rate was 0.29% (95% CI: 0.26%-0.32%) for the overall population. After adjustment for response rates, the estimated number of ASD cases was 867 in the target population sample, thereby achieving an estimated prevalence of 0.70% (95% CI: 0.64%-0.74%). The prevalence was significantly higher in boys than in girls (0.95%; 95% CI: 0.87%-1.02% versus 0.30%; 95% CI: 0.26%-0.34%; P < 0.001). Of the 363 confirmed ASD cases, 43.3% were newly diagnosed, and most of those (90.4%) were attending regular schools, and 68.8% of the children with ASD had at least one neuropsychiatric comorbidity. Our findings provide reliable data on the estimated ASD prevalence and comorbidities in Chinese children.
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Affiliation(s)
- Hao Zhou
- Department of Neurology, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Xiu Xu
- Child Health Care, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Weili Yan
- Department of Clinical Epidemiology, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Xiaobing Zou
- Child Development Behavior Center, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, China
| | - Lijie Wu
- Department of Children and Adolescent Health, School of Public Health, Harbin Medical University, Harbin, 150081, China
| | - Xuerong Luo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, 410011, China
| | - Tingyu Li
- Child Health Care, Children's Hospital of Chongqing Medical University, Chongqing, 400014, China
| | - Yi Huang
- Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Hongyan Guan
- Capital Institute of Pediatrics, Beijing, 100020, China
| | - Xiang Chen
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, China
| | - Meng Mao
- Child Health Care, Chengdu Women and Children's Hospital, Chengdu, 610091, China
| | - Kun Xia
- Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, 410013, China
| | - Lan Zhang
- Child Health Care, Chengdu Women and Children's Hospital, Chengdu, 610091, China
| | - Erzhen Li
- Capital Institute of Pediatrics, Beijing, 100020, China
| | - Xiaoling Ge
- Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Lili Zhang
- Department of Neurology, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Chunpei Li
- Department of Neurology, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Xudong Zhang
- Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Yuanfeng Zhou
- Department of Neurology, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Ding Ding
- Huashan Hospital of Fudan University, Shanghai, 200040, China
| | - Andy Shih
- Autism Speaks, 1 East 33rd Street, New York, NY, 10016, USA
| | - Eric Fombonne
- Oregon Health and Science University, Portland, OR, 97239, USA
| | - Yi Zheng
- Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China
| | - Jisheng Han
- Neuroscience Research Institute, Peking University, Beijing, 100191, China
| | - Zhongsheng Sun
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100021, China
| | - Yong-Hui Jiang
- Department of Genetics and Pediatrics, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Yi Wang
- Department of Neurology, Children's Hospital of Fudan University, Shanghai, 201102, China.
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6
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The Role of Diagnostic Instruments in Dual and Differential Diagnosis in Autism Spectrum Disorder Across the Lifespan. Child Adolesc Psychiatr Clin N Am 2020; 29:275-299. [PMID: 32169263 DOI: 10.1016/j.chc.2020.01.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
The heterogeneity inherent in autism spectrum disorder (ASD) makes the identification and diagnosis of ASD complex. We survey a large number of diagnostic tools, including screeners and tools designed for in-depth assessment. We also discuss the challenges presented by overlapping symptomatology between ASD and other disorders and the need to determine whether a diagnosis of ASD or another diagnosis best explains the individual's symptoms. We conclude with a call to action for the next steps necessary for meeting the diagnostic challenges presented here to improve the diagnostic process and to help understand each individual's particular ASD profile.
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7
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Description of Criterion Validity of the Autism Spectrum Rating Scales 6-18 Parent Report: Initial Exploration in a Large Community Sample. Child Psychiatry Hum Dev 2019; 50:987-1001. [PMID: 31152377 DOI: 10.1007/s10578-019-00899-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Research regarding psychometric properties of autism spectrum disorder questionnaires is lacking. This study explored the criterion validity of the ASRS 6-18 parent report (ASRS-6-18-P) in a large, well-characterized, real-world clinical sample of 422 children ([Formula: see text] autism [AUT] n = 139; non-autism [NOT] n = 283) evaluated with the Autism Diagnostic Observation Schedule-2, a gold-standard measure. Significant mean differences were observed for DSM-5, social, and unusual behaviors. Total, DSM-5, social, and unusual behaviors demonstrated significant correlations with ADOS-2 comparison scores (modules 1-3), but not with module 4 (raw) scores. DSM-5 and Unusual Behaviors demonstrated significant but poor AUCs (0.60). Findings with/without covariates (IQ/age) were overall similar. Sensitivity and specificity could not be optimized. The suggested cutpoint (T-score = 60) demonstrated unacceptably high false positive rates (> 76.33%). While findings suggest limited diagnostic utility of the ASRS-6-18-P, the sample's complex psychiatric presentation and measurement error inherent in cutoff score application should be considered when generalizing results. Further research is recommended.
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8
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Yu L, Zhu X, Shek DTL, Zou XB, Deng HZ, Au Yeung PWH. Validation of the Simplified Chinese Psychoeducational Profile Third Edition in Mainland China. J Autism Dev Disord 2019; 49:1599-1612. [PMID: 30542942 PMCID: PMC6450835 DOI: 10.1007/s10803-018-3827-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
The Psychoeducational Profile 3rd Edition (PEP-3) is a comprehensive assessment tool designed for children with autism spectrum disorder (ASD). Although its original English version has been validated, few validation studies have been conducted on translated versions including Chinese ones. Based on 554 Chinese children with ASD and 311 typically developing Chinese children as the control group, this study investigated the psychometric properties of a simplified Chinese PEP-3 (sCPEP-3) in China mainland. Psychometric evaluation of the sCPEP-3 showed satisfactory internal consistency, test–retest reliability, inter-rater reliability, convergent validity, construct validity, and factorial validity. The findings have several implications such as utilizing the sCPEP-3 in mainland China for customized educational program planning, early identification, and evaluating the treatment effects for children with ASD.
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Affiliation(s)
- Lu Yu
- Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, People's Republic of China.
| | - Xiaoqin Zhu
- Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, People's Republic of China
| | - Daniel T L Shek
- Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, People's Republic of China
| | - Xiao-Bing Zou
- Behavioral Pediatrics Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Hong-Zhu Deng
- Behavioral Pediatrics Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
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9
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Zhou H, Li CP, Huang Y, Zou XB, Luo XR, Wu LJ, Zhang L, Xu X, Yan WL, Wang Y. Reliability and validity of the translated Chinese version of Autism Spectrum Rating Scale (2-5 years). World J Pediatr 2019; 15:49-56. [PMID: 30446976 DOI: 10.1007/s12519-018-0201-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Accepted: 10/11/2018] [Indexed: 02/05/2023]
Abstract
BACKGROUND Early autism screening is of great value, but there is lack of a screening tool of early age (2-5 years) in China. The Autism Spectrum Rating Scale (ASRS, 2-5 years) is a newly developed autism screening tool in the USA. This study aimed to evaluate the reliability and validity of the translated Chinese version of ASRS (C_ASRS) in Chinese children population before its application in China for early autism screening. METHODS Caregivers of general children aged 2-5 years from 17 kindergartens and autism spectrum disorder (ASD) cases from five special education schools in five cities were recruited to complete the C_ASRS. 1910 valid questionnaires from kindergarteners and 192 from ASD cases were included for analyses. RESULTS The item reliability (Cronbach's alpha) was more than 0.80 in the screening scale and DSM-5 scale, and 0.51-0.81 in the treatment scale. ASD cases scored higher on total score and most subscales compared to the kindergarteners (Cohen's d ranging from 1.34 to 3.37). C_ASRS showed good discriminatory validity with an area under the receiver operating characteristic curve of 0.850 (95% confidence interval: 0.819-0.881). The cutoff ≥ 60 achieved sensitivity of 65.63% and specificity of 85.63% in discriminating autism children from the general population. CONCLUSION The results indicate that C_ASRS (2-5 years) could be used as an early level-2 screening tool for autism screening in China and should be further revised for level-1 screening.
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Affiliation(s)
- Hao Zhou
- Department of Neurology, Children's Hospital of Fudan University, No. 399 Wanyuan Road, Minhang District, Shanghai, 201102, China.,Guizhou Provincial People's Hospital, Medical College of Guizhou University, Guiyang, 550002, China
| | - Chun-Pei Li
- Department of Neurology, Children's Hospital of Fudan University, No. 399 Wanyuan Road, Minhang District, Shanghai, 201102, China
| | - Yi Huang
- Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Xiao-Bing Zou
- Child Developmental-Behavioral Center, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510630, China
| | - Xue-Rong Luo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, 410008, China
| | - Li-Jie Wu
- School of Public Health, Harbin Medical University, Harbin, 150081, China
| | - Lan Zhang
- Department of Child Health, Chengdu Women and Children's Hospital, Chengdu, 610091, China
| | - Xiu Xu
- Department of Child Health, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Wei-Li Yan
- Department of Clinical Epidemiology, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Yi Wang
- Department of Neurology, Children's Hospital of Fudan University, No. 399 Wanyuan Road, Minhang District, Shanghai, 201102, China. .,State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, 201132, China.
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10
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Zhou H, Li C, Luo X, Wu L, Huang Y, Zhang L, Zou X, Xu X, Jiang YH, Yan W, Wang Y. Cross-Cultural Revision and Psychometric Properties of the Chinese Version of the Autism Spectrum Rating Scale (2-5 Years). Front Neurol 2018; 9:460. [PMID: 30013502 PMCID: PMC6036302 DOI: 10.3389/fneur.2018.00460] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Accepted: 05/30/2018] [Indexed: 02/05/2023] Open
Abstract
Background: No sufficient biomarkers are available for early identification of autism in the general population. Currently, the diagnosis of ASD depends on behavioral assessments. A useful screening tool can help to detect early autistic symptoms and provide children an early opportunity for ASD-related interventions. This research aimed to assess cross-cultural adaptation and psychometric properties of the autism spectrum rating scale (ASRS) under the Chinese cultural environment. Methods: Participants were recruited from 17 kindergartens and 5 special education schools across five cities (Shanghai, Guangzhou, Changsha, Chengdu, and Harbin) in China. A total of 2,181 kindergarten children and 207 ASD cases participated in this study. Mplus 7.03 was utilized to conduct exploratory factor analysis, followed by adaptive modifications to construct the revised Chinese version of the ASRS (RC_ASRS). Results: The result showed that 62 items comprised a two-factor structure; Factor 1 (social communication, SC) included 21 items, and Factor 2 (unusual behavior, UB) included 41 items. Cronbach's alpha ranged from 0.87 to 0.91 within the RC_ASRS. The total score and the SC and UB scores were significantly higher in ASD cases than in kindergarten samples (Cohen's d ranged from 0.82 to 2.72). The total RC_ASRS score showed an area under the curve (AUC) of 0.95 (95% CI: 0.93–0.97). With a total score cut-off ≥ 60, the RC_ASRS is an excellent tool to identify ASD cases from Chinese kindergarten children (sensitivity = 88.6%, specificity = 84.5%). Conclusions: The RC_ASRS has excellent psychometric properties and is a reliable, useful tool for early ASD screening among Chinese children.
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Affiliation(s)
- Hao Zhou
- Department of Neurology, Children's Hospital of Fudan University, Shanghai, China.,Guizhou Provincial People's Hospital, Medical College of Guizhou University, Guiyang, China
| | - Chunpei Li
- Department of Neurology, Children's Hospital of Fudan University, Shanghai, China
| | - Xuerong Luo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Lijie Wu
- School of Public Health, Harbin Medical University, Harbin, China
| | - Yi Huang
- Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, China
| | - Lan Zhang
- Department of Child Health, Chengdu Women and Children's Hospital, Chengdu, China
| | - Xiaobing Zou
- Child Development Center, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Xiu Xu
- Department of Child Health, Children's Hospital of Fudan University, Shanghai, China
| | - Yong-Hui Jiang
- Division of Medical Genetics, Department of Pediatrics and Neurobiology, Duke University School of Medicine, Durham, NC, United States
| | - Weili Yan
- Department of Clinical Epidemiology, Children's Hospital of Fudan University, Shanghai, China
| | - Yi Wang
- Department of Neurology, Children's Hospital of Fudan University, Shanghai, China
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11
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Li C, Zhou H, Wang T, Long S, Du X, Xu X, Yan W, Wang Y. Performance of the Autism Spectrum Rating Scale and Social Responsiveness Scale in Identifying Autism Spectrum Disorder Among Cases of Intellectual Disability. Neurosci Bull 2018; 34:972-980. [PMID: 29808467 DOI: 10.1007/s12264-018-0237-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2018] [Accepted: 04/08/2018] [Indexed: 11/24/2022] Open
Abstract
The Autism Spectrum Rating Scale (ASRS) and the Social Responsiveness Scale (SRS) have been widely used for screening autism spectrum disorder (ASD) in the general population during epidemiological studies, but studies of individuals with intellectual disability (ID) are quite limited. Therefore, we recruited the parents/caregivers of 204 ASD cases, 71 ID cases aged 6-18 years from special education schools, and 402 typically developing (TD) children in the same age span from a community-based population to complete the ASRS and SRS. The results showed that the ID group scored significantly lower on total and subscale scores than the ASD group on both scales (P < 0.05) but higher than TD children (P < 0.05). Receiver operating characteristic analyses demonstrated a similar fair performance in discriminating ASD from ID with the ASRS (area under the curve (AUC) = 0.709, sensitivity = 77.0%, specificity = 52.1%, positive predictive value (PPV) = 82.2%) and the SRS (AUC = 0.742, sensitivity = 59.8%, specificity = 77.5%, PPV = 88.4%). The results showed that individuals with ID had clear autistic traits and discriminating ASD from ID cases was quite challenging, while assessment tools such as ASRS and SRS, help to some degree.
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Affiliation(s)
- Chunpei Li
- Department of Neurology, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Hao Zhou
- Department of Neurology, Children's Hospital of Fudan University, Shanghai, 201102, China.,Department of Pediatrics, Guizhou Provincial People's Hospital, Medical College of Guizhou University, Guiyang, 558200, China
| | - Tianqi Wang
- Department of Neurology, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Shasha Long
- Department of Neurology, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Xiaonan Du
- Department of Neurology, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Xiu Xu
- Department of Child Health, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Weili Yan
- Department of Clinical Epidemiology, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Yi Wang
- Department of Neurology, Children's Hospital of Fudan University, Shanghai, 201102, China. .,State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, 201132, China.
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Yu X, Qiu Z, Zhang D. Recent Research Progress in Autism Spectrum Disorder. Neurosci Bull 2017; 33:125-129. [PMID: 28285467 PMCID: PMC5567533 DOI: 10.1007/s12264-017-0117-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Accepted: 02/21/2017] [Indexed: 11/24/2022] Open
Affiliation(s)
- Xiang Yu
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
| | - Zilong Qiu
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Dai Zhang
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, 100191, China.
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.
- PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, 100871, China.
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13
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Zhou B, Zhou H, Wu L, Zou X, Luo X, Fombonne E, Wang Y, Yan W, Xu X. Assessing the Accuracy of the Modified Chinese Autism Spectrum Rating Scale and Social Responsiveness Scale for Screening Autism Spectrum Disorder in Chinese Children. Neurosci Bull 2017; 33:168-174. [PMID: 28258510 PMCID: PMC5360843 DOI: 10.1007/s12264-017-0114-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Accepted: 02/09/2017] [Indexed: 12/15/2022] Open
Abstract
The reported prevalence of autism spectrum disorder (ASD) has been increasing rapidly in many parts of the world. However, data on its prevalence in China are largely missing. Here, we assessed the suitability of the modified Chinese version of a newly-developed ASD screening tool, the Modified Chinese Autism Spectrum Rating Scales (MC-ASRS) in screening for ASD in Chinese children aged 6–12 years, through comparison with the Social Responsiveness Scale (SRS) that has been widely used for ASD screening. We recruited the parents/caregivers of 1588 typically-developing children and 190 children with ASD aged 6–12 years to complete the MC-ASRS and SRS, and evaluated the validity of both scales in discriminating children with ASD from those developing typically. The results showed that MC-ASRS performed as well as SRS in sensitivity, specificity, and area-under-the-curve (both >0.95) in receiver operating characteristic analysis, with a fair false-negative rate. These results suggest that MC-ASRS is a promising tool for screening for children with ASD in the general Chinese population.
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Affiliation(s)
- Bingrui Zhou
- Department of Child Healthcare, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Hao Zhou
- Department of Neurology, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Lijie Wu
- School of Public Health, Harbin Medical University, Harbin, 150081, China
| | - Xiaobing Zou
- Child Development Center, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, China
| | - Xuerong Luo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, 410011, China
| | - Eric Fombonne
- Oregon Health and Science University, Portland, OR, 97239, USA
| | - Yi Wang
- Department of Neurology, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Weili Yan
- Department of Clinical Epidemiology, Children's Hospital of Fudan University, Shanghai, 201102, China.
| | - Xiu Xu
- Department of Child Healthcare, Children's Hospital of Fudan University, Shanghai, 201102, China.
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Abstract
This study aimed to establish norms for the modified Chinese version of the Autism Spectrum Rating Scale (ASRS). Participants were recruited from Shanghai, Harbin, Guangzhou, and Changsha, China, and their parents and teachers were invited to complete the Chinese Parent version and the Teacher version of the ASRS. In both versions, boys had significantly higher sub-scale scores and total score (T-score) by 1–3 and 4–5 points respectively, than girls (both P < 0.001). Age had weak correlations with some sub-scores and the T-score (r ranged from −0.1859 to 0.0738), and some reached significance (P < 0.03). The correlations appeared stronger and were more common in females. The T-score based on Chinese norms ideally correlated with the score based on the United States norms in boys and girls for both versions. Norms for the Chinese version of the ASRS for children aged 6–12 years are proposed and may be helpful for screening individuals with autism spectrum disorders from the general population of children.
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