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A momentary assessment study on emotional and biological stress in adult males and females with autism spectrum disorder

Kim van der Linden, Claudia J.P. Simons, Wolfgang Viechtbauer, Emmy Ottenheijm, Thérèse van Amelsvoort, Machteld Marcelis

2021Scientific Reports22 citationsDOIOpen Access PDF

Abstract

Prospective momentary psychological and biological measures of real-time daily life stress experiences have been examined in several psychiatric disorders, but not in adults with an autism spectrum disorder (ASD). The current electronic self-monitoring study examined associations between momentary daily life stressors and (i) negative affect (NA; emotional stress reactivity) and (ii) cortisol levels (biological stress reactivity) in males and females with ASD (N = 50) and without ASD (N = 51). The Experience Sampling Method, including saliva sampling, was used to measure three types of daily life stress (activity-related, event-related, and social stress), NA, and cortisol. Multilevel regression analyses demonstrated significant interactions between group and stress (i.e., activity-related and event-related stress) in the model of NA, indicating stronger emotional stress reactivity in the ASD than in the control group. In the model of cortisol, none of the group × stress interactions were significant. Male/female sex had no moderating effect on either emotional or biological stress reactivity. In conclusion, adults with ASD showed a stronger emotional stress (but not cortisol) reactivity in response to unpleasant daily life events and activities. The findings highlight the feasibility of electronic self-monitoring in individuals with ASD, which may contribute to the development of more personalized stress-management approaches.

Topics & Concepts

StressorExperience sampling methodReactivity (psychology)Autism spectrum disorderPsychologyStress measuresAffect (linguistics)Clinical psychologyAutismBiological sexStress (linguistics)Multilevel modelDevelopmental psychologyMedicinePhilosophyAlternative medicinePathologySocial psychologyLinguisticsCommunicationComputer scienceMachine learningAutism Spectrum Disorder ResearchMental Health Research TopicsChild and Adolescent Psychosocial and Emotional Development
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