简介考虑到研究的稀缺性,直接调查性别之间的差异,他们对应用行为分析(ABA)治疗诊断为自闭症谱系障碍(ASD)的个体的反应,这项研究的目的是双重的。首先,它旨在加强现有科学文献中报道的男女比例,从而有助于更广泛地了解ABA治疗ASD的性别分布。第二,它旨在使用三个不同的数据集,在不同的时间间隔内识别总体目标行为中基于性别的差异。目标是确定性别是否影响ABA治疗ASD的有效性,这可以为未来的治疗策略提供信息。最终,这项研究致力于增进我们对ASD个体ABA治疗反应中性别差异的理解,并希望改善所有人的治疗结果,不分性别。材料和方法每个儿童三到五名行为技术人员收集263名自闭症个体的每日一般目标掌握数据。这些数据是通过“Catalyst”跟踪软件(DataFinchTechnologies,亚特兰大,美国)。从2023年6月7日至2024年1月7日收集了三个独立的数据集。行为分析师采用了离散试验训练的混合模型,大规模审判,七个月以上的自然环境治疗。收集了259名儿童和4名成人的一般目标掌握数据,缺少七个数据实例。描述性统计数据包括集中趋势和分散措施,包括数据分布的平均值,标准偏差,中位数,和范围。使用Mann-WhitneyU检验进行非参数推断分析。结果Mann-WhitneyU计算导致覆盖七个月时间框架的三个数据集的所有性别比较中的无显著性别差异。数据集#1:时间1-(U=727.5,p=0.846,2=0.0002,时间2-(U=736,p=0.910,2=0.00005),时间3-(U=687.5,p=0.569,支持2=0.001)数据集#2:时间1-(U=781,p=0.383,支持2=0.003),时间2-(U=819.5,p=0.585,2=0.001),时间3-(U=825,p=0.618,支持2=0.001)数据集#3:时间1-(U=395,p=0.198,支持2=0.007),时间2-(U=373.5,p=0.365,支持2=0.003),时间3-(U=363,p=0.471,支持2=0.002),时间4-(U=366.5,p=0.436,支持2=0.003),时间5-(U=371,p=0.391,支持2=0.003),时间6-(U=394,p=0.208,支持2=0.007),时间7-(U=373,p=0.373,支持2=0.003),时间8-(U=371.5,p=0.387,支持2=0.003),时间9-(U=464.5,p=0.512,支持2=0.002),时间10-(U=356.5,p=0.546,支持2=0.002),时间11-(U=357.5,p=0.535,支持2=0.002),时间12-(U=350.5,p=0.346,p=0.004)结论这项研究表明,自闭症患者对ABA治疗的反应没有显着性别差异,表明其对两种性别的潜在有效性。然而,这些研究结果应谨慎解释,因为广泛的置信区间反映了统计学上的不确定性,因为它们暗示可能存在实质性的性别差异.进一步研究,包括一项扩展研究,必须确认这些结果,并了解ABA治疗反应中潜在的性别细微差别。这可以帮助定制更有效的,自闭症患者的个性化治疗策略。
Introduction Considering the scarcity of research that directly investigates the differences between genders in their response to applied behavior analysis (ABA) therapy for individuals diagnosed with autism spectrum disorder (ASD), the objective of this study is twofold. First, it aims to reinforce the male-to-female ratio reported in existing scientific literature, thereby contributing to a broader understanding of gender distribution in ABA therapy for ASD. Second, it seeks to identify gender-based differences in aggregate target behaviors at various time intervals using three distinct datasets. The goal is to determine if gender influences the effectiveness of ABA therapy for ASD, which could inform future therapeutic strategies. Ultimately, this study strives to enhance our understanding of gender disparities in ABA therapy response among ASD individuals and hopes to improve therapeutic outcomes for all, regardless of gender. Materials and methods Three to five behavioral technicians per child collected daily general target mastery data for 263 individuals with autism. This data was gathered using a large N design through retrospective chart reviews within the \"Catalyst\" tracking software (DataFinch Technologies, Atlanta, USA). Three separate datasets were collected from June 7, 2023 to January 7, 2024. Behavior analysts employed a mixed model of discrete trial training, mass trials, and naturalistic environment treatment over seven months. General target mastery data was assembled for 259 children and four adults, with seven data instances missing. Descriptive statistics encompassed central tendency and dispersion measures, including the data distribution\'s mean, standard deviation, median, and range. Non-parametric inferential analysis was performed with the Mann-Whitney U test. Results Mann-Whitney U computations resulted in non-significant gender differences on all gender comparisons for the three datasets covering the seven-month timeframe. Dataset #1: Time 1-(U=727.5, p=0.846, ή2=0.0002, Time 2-(U=736, p=0.910, ή2=0.00005), Time 3-(U=687.5, p=0.569, ή2=0.001) Dataset #2: Time 1-(U=781, p=0.383, ή2=0.003), Time 2-(U=819.5, p=0.585, ή2=0.001), Time 3-(U=825, p=0.618, ή2=0.001) Dataset #3: Time 1-(U=395, p=0.198, ή2=0.007), Time 2-(U=373.5, p=0.365, ή2 =0.003), Time 3-(U=363, p=0.471, ή2=0.002), Time 4-(U=366.5, p=0.436, ή2 =0.003), Time 5-(U=371, p=0.391, ή2=0.003), Time 6-(U=394, p=0.208, ή2=0.007), Time 7-(U=373, p=0.373, ή2=0.003), Time 8-(U=371.5, p=0.387, ή2=0.003), Time 9-(U=464.5, p=0.512, ή2=0.002), Time 10-(U=356.5, p=0.546, ή2=0.002), Time 11-(U=357.5, p=0.535, ή2=0.002), Time 12-(U=350.5, p=0.346, ή2=0.004) Conclusions This study suggests no significant gender differences in response to ABA therapy among individuals with autism, indicating its potential effectiveness for both genders. However, these findings should be interpreted cautiously due to statistical uncertainties reflected in the broad confidence intervals as they hint at possible substantial gender differences. Further research, including an extension study, must confirm these results and understand potential gender nuances in ABA therapy response. This could help tailor more effective, personalized therapeutic strategies for individuals with autism.