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Background: Few autistic adults are able to integrate successfully into the world of work given their difficulties adapting to the social and stressful aspects of work environments. Interpersonal synchrony, when two or more individuals share body movements or sensations, is a powerful force that consolidates human groups while promoting the ability to self-regulate and cooperate with others. The abilities to self-regulate and cooperate are crucial for maintaining a calm and productive work environment.
Objectives: This randomized controlled trial (RCT) aims to assess the effects of group interpersonal synchrony on prosociality and work-related stress of young autistic adults in their work environment.
Methods: This mixed-methods RCT will investigate two movement-based group synchronous and non-synchronous intervention conditions. The sample will be composed of young adults enrolled in an innovative Israeli program designed to integrate cognitively-abled 18- to 25-year-old autistic adults into the Israeli army work force. The movement-based intervention sessions will take place in groups of 10-14 participants, once a week for 10 weeks. Questionnaires, behavioral collaborative tasks and semi-structured interviews will be conducted. Quantitative data will be collected for each participant at three points of time: before and after the intervention period, and four months after the end of the intervention. Qualitative data will be collected after the intervention period in interviews with 15% of the participants.
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Background: Few autistic adults are able to integrate successfully into the world of work given their difficulties adapting to the social and stressful aspects of work environments. Interpersonal synchrony, when two or more individuals share body movements or sensations, is a powerful force that consolidates human groups while promoting the ability to self-regulate and cooperate with others. The abilities to self-regulate and cooperate are crucial for maintaining a calm and productive work environment.
Objectives: The objectives are to determine:
Methods: A mixed methods approach will be applied, where quantitative and qualitative data are collected and analyzed in parallel.
Participants: The sample will be composed of young adults (n=60) enrolled in an innovative Israeli program designed to integrate cognitively-abled 18- to 25-year-old autistic adults into the Israeli army workforce.
Sample Size: An a-priori power analysis indicated that a total sample size of 42 participants would be needed to detect medium effects defined as f=0.2, with 80% power and alpha at .05, using a repeated measure, within-between interaction ANOVA. This sample size might not be sufficient for detecting the mediated effect needed to respond to the second study objective with 80% power and alpha of .05. Therefore, we will recruit at least N = 60 participants (30 in each intervention group) to plan for possible dropouts.
Study Design and Procedures: This is a two-arm, randomized controlled trial (RCT) in which participants will be randomly assigned to one of two groups: synchronous and non-synchronous movement-based interventions. The movement-based intervention sessions will take place in groups of 10-14 participants, once a week for 10 weeks. A structured physical training protocol will be used for each condition. Each protocol is composed of 10 physical training sessions, each lasting 60 minutes. The protocols differ in terms of using synchronous activity vs. non-synchronous activity. They do not differ in terms of physical exercise type or duration to control for the effect of exercise type and duration on the dependent variables. Questionnaires, behavioral collaborative tasks and semi-structured interviews will be conducted. Quantitative data will be collected for each participant at three points of time: before and after the intervention period, and four months after the end of the intervention. Qualitative data will be collected after the intervention period in interviews with 15% of the participants.
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57 participants in 2 patient groups
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Tal-Chen Rabinowitch, PhD
Data sourced from clinicaltrials.gov
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