Matching Items (2)
Description
Fibromyalgia (FM) is a chronic musculoskeletal disorder characterized by widespread pain, fatigue, and a variety of other comorbid physiological and psychological characteristics, including a deficit of positive affect. Recently, the focus of research on the pathophysiology of FM has considered the role of a number of genomic variants. In the current manuscript, case-control analyses did not support the hypothesis that FM patients would differ from other chronic pain groups in catechol-O-methyltransferase (COMT) and mu-opioid receptor (OPRM1) genotype. However, evidence is provided in support of the hypothesis that functional single nucleotide polymorphisms on the COMT and OPRM1 genes would be associated with risk and resilience, respectively, in a dual processing model of pain-related positive affective regulation in FM. Forty-six female patients with a physician-confirmed diagnosis of FM completed an electronic diary that included once-daily assessments of positive affect and soft tissue pain. Multilevel modeling yielded a significant gene X environment interaction, such that individuals with met/met genotype on COMT experienced a greater decline in positive affect as daily pain increased than did either val/met or val/val individuals. A gene X environment interaction for OPRM1 also emerged, indicating that individuals with at least one asp allele were more resilient to elevations in daily pain than those homozygous for the asn allele. In sum, the findings offer researchers ample reason to further investigate the contribution of the catecholamine and opioid systems, and their associated genomic variants, to the still poorly understood experience of FM.
ContributorsFinan, Patrick Hamilton (Author) / Zautra, Alex (Thesis advisor) / Davis, Mary (Committee member) / Lemery-Chalfant, Kathryn (Committee member) / Presson, Clark (Committee member) / Arizona State University (Publisher)
Created2011
Description
An investigation of the Caregiver Autism Residential E-health (CARE) system composed of low-cost, end-user deployable smart home technology and accompanying heuristics for rule-based models of human behavior has been evaluated for its potential as an empowering assistive technology with the capacity to enhance the well-being of people living with autism, their caregivers, and family members. It allows adults living with autism to create personalized smart home interventions that provide motivational support and is accompanied by guidelines for a safe and effective means of behavioral change. This investigation contributes a participatory co-design approach which addresses both the role of flexibility for the dynamic needs of the individual while offering strategies for dealing with the challenges of designing assistive smart home technologies for the needs of individuals across the wide range of autism spectrum disorders.
ContributorsNewman, Naomi Catton (Author) / Burleson, Winslow (Thesis director) / Brotman, Ryan (Co-author) / Lozano, Cecil (Co-author) / Adams, Jim (Committee member) / Zautra, Alex (Committee member) / Barrett, The Honors College (Contributor) / Graduate College (Contributor) / School of Community Resources and Development (Contributor) / Department of Psychology (Contributor) / School of Human Evolution and Social Change (Contributor)
Created2013-05