Socio-demographic correlates of autism spectrum disorder: A study in Odisha

Asmita Nayak, R. Khuntia
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Abstract

There is very little data available on socio-demographic factors associated with the early detection of autism spectrum disorder (ASD). This study sought to investigate the socio-demographic correlates of ASD. A cross-sectional study of 201 first-time reported cases of ASD using a semi-structured socio-demographic datasheet was conducted to understand the socio-demographic correlates. The Statistical Package for the Social Sciences (SPSS) software (version 26) was used to calculate frequencies, percentages, and Chi-square values. Descriptive analysis revealed an upward trend in the number of reported cases among both genders. Most cases were five years old or above, from middle socioeconomic background, with parents who had studied above matriculation, and lived in an urban area. Chi-square test results revealed a significant relationship between the number of first-time reported cases of ASD and that of parental education, socioeconomic status (SES), and living conditions. A prominent finding of this study was parents’ lack of awareness regarding their child’s condition. Measures for awareness and early detection have been recommended.
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自闭症谱系障碍的社会人口学相关因素:奥迪沙邦研究
关于与早期发现自闭症谱系障碍(ASD)相关的社会人口因素的数据很少。 本研究旨在调查自闭症谱系障碍的社会人口学相关因素。 为了了解自闭症谱系障碍的社会人口学相关因素,我们使用半结构化社会人口学数据表对 201 个首次报告的自闭症谱系障碍病例进行了横断面研究。研究使用社会科学统计软件包(SPSS)软件(26 版)计算频率、百分比和卡方值。 描述性分析显示,男女报告病例数均呈上升趋势。大多数病例年龄在 5 岁或以上,来自中等社会经济背景,父母受过大学预科以上教育,居住在城市地区。卡方检验结果显示,首次报告的 ASD 个案数与父母的教育程度、社会经济地位(SES)和生活条件之间存在显著关系。 本研究的一个突出发现是家长对其子女的病情缺乏认识。建议采取提高认识和早期发现的措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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审稿时长
39 weeks
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