Megan Wenzell

Tenure-Track Assistant Professor

Case Western Reserve University

United States

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Megan Wenzell is a Tenure-Track Assistant Professor at Case Western Reserve University in the United States. Her research focuses on the intersection of sleep health and autism spectrum disorder, with recent articles examining insomnia symptoms, anxiety, and food allergies in affected populations. Wenzell is dedicated to identifying socio-ecological factors that contribute to sleep health disparities and developing effective assessment tools for sleep disturbances in young children.

Articles (18)

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Indiana State University

UNITED STATES

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Megan Wenzell

Research Interests

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Articles (18)

Clinical Correlates of Insomnia Symptoms in Young Children with Autism Spectrum Disorder

Scoping Review of Socio-Ecological Factors Contributing to Sleep Health Disparities in Children with Autism Spectrum Disorder

Anxiety and Depression Affect Sleep Quality: A Preliminary Investigation in Crowdsourced Samples of Autistic and Non-Autistic Adults

Exploring the Congruence of actigraphy and the Pediatric Autism Insomnia rating Scale

Toward better outcome measurement for insomnia in children with autism spectrum disorder

Clinical Correlates and Prevalence of Food Selectivity in Children with Autism Spectrum Disorder

Development of a novel parent‐report measure of food allergy impact

Follow-up of telehealth parent training for sleep disturbances in young children with autism spectrum disorder

A Feasibility Study of Nutritional Status and Bone Health in Children with Autism Spectrum Disorder and Food Selectivity

Feasibility of Actigraphy for Evaluating Sleep and Daytime Physical Activity in Children with Autism Spectrum Disorder

Qualitative Exploration Toward the Development of a Parent-Rated Scale for Insomnia in Children with Autism Spectrum Disorder

Neuromarkers associated with two levels of physical activity in persons with chronic conditions

Differences among physical activity actigraphy algorithms in three chronic illness populations

Large-scale informatic analysis to algorithmically identify blood biomarkers of neurological damage

Diagnosis of ischemic stroke using circulating levels of brain-specific proteins measured via high-sensitivity digital ELISA

Use of high-sensitivity digital ELISA improves the diagnostic performance of circulating brain-specific proteins for detection of traumatic brain injury during triage

Application of a Novel Actigraphy Algorithm to Detect Movement and Sleep/Wake Patterns in Children with Autism Spectrum Disorder

Building a Research Data Repository for Chronic Condition Self-Management Using Harmonized Data

Collaborators (5)

Brian Greer

Lawrence Scahill

Grant O'Connell

Nicholas Schiltz

Kelly Wierenga

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