Matching Items (121)
Description
To determine whether a 3-month lifestyle intervention could increase social support (SS) and physical activity (PA) in Latino adolescents with obesity. Participants in the intervention will increase (SS) from family and friends and PA. Youth attended weekly nutritional and exercise sessions at the YMCA. Familial and Friend SS for PA is not significant; moderate to vigorous PA is significant. Culturally-grounded & community-based intervention leads to changes in SS for PA and PA in Latino adolescents.
ContributorsMartin, Dwayne Jeffery (Author) / Shaibi, Gabriel (Thesis director) / Williams, Allison (Committee member) / School of Human Evolution & Social Change (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
My aims with this research project were to conduct a network analysis on collaborators in the ¡Viva Maryvale! project, a diabetes prevention program in Maryvale, AZ. The goals of the social network analysis were to measure the connections that collaborating organizations have to each other, the strength of these connections, and the activities that connected organizations collaborate on. I hypothesized that performing a network analysis would inform me of the strengths and weaknesses of the ¡Viva Maryvale! project in order to advise the next steps of a targeted approach to diabetes prevention among vulnerable populations, thus affecting public health outcomes in the greater Phoenix Valley.
ContributorsKellog, Anna (Author) / Shaibi, Gabriel (Thesis director) / Soltero, Erica (Committee member) / School of Public Affairs (Contributor) / School of Human Evolution and Social Change (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
The growing urban heat island (UHI) phenomenon is having detrimental effects on urban populations and the environment, and therefore, must be addressed. The purpose of this research is to investigate possible strategies that could be utilized to reduce the effects of the urban heat island for the city of Phoenix. Current strategies, case studies, and the ENVI-Met modeling software were used to finalize conclusions and suggestions to further progress Phoenix's goals in combating its urban heat island. Results from the studies found that there is much potential in reducing daytime and evening temperatures through improving infrastructure by means of increased vegetation in the forms of green roofs and walls, reducing anthropogenic heat release, improving artificial surface coverage, and implementing lasting policies for further development. Results from the ENVI-met microclimate program shows areas for further research in urban heat island mitigation strategies.
ContributorsShqalsi, Ema (Author) / Pijawka, David (Thesis director) / Middel, Ariane (Committee member) / Civil, Environmental and Sustainable Engineering Programs (Contributor) / School of Geographical Sciences and Urban Planning (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Background: The prevalence of childhood obesity has disproportionately affected Latino youth and can be seen with an increase incidence of Type 2 Diabetes. This increase in obesity can be attributed to physical inactivity. Increases in social support and self-efficacy are independently related to increases in physical activity. A lifestyle intervention can lead to increases in social support, self-efficacy and physical activity. Objective/Hypothesis: The objective of this study was to determine whether a 12-week lifestyle intervention could increase social support, self-efficacy and physical activity in obese Latino adolescents that participated in the intervention. It was hypothesized that adolescents that participated in the intervention would increase self-efficacy, social support from family and friends, and physical activity compared to their control counterparts. Study Design/Participants: In a randomized control trial, there were 125 Latino (n= 60 experimental group; n= 65 control group; mean age = 15.17 +- 1.65 Males n = 60; n = 65 females) participants included in this study. Participants were also required to have a BMI percentile >= 95th percentile for age and gender or BMI >= 30 kg/m2. Methods: The intervention, which was developed using the Social Cognitive Theory had components focusing on social support and self-efficacy and also consisted of nutrition education classes and physical activity sessions for 12 weeks. The psychosocial constructs of self-efficacy and social support were measured using the Adolescent Self-Efficacy for Diet and Activity Behaviors and Adolescent Social Support for Diet and Exercise Survey, respectively. Physical activity was assessed by the 3-day Physical Activity Recall. Results: We found significant increases in social support in family (p = 0.042) and vigorous physical activity (p = 0.001). There was also a significant difference between control and treatment group for moderate to vigorous physical activity after the intervention (p = 0.027). There were no changes in social support from friends or self-efficacy. Conclusion: We concluded that a 12-week lifestyle intervention did lead to changes in social support and physical activity behaviors. These changes could have been influenced by the intervention as they were measured these constructs pre/post intervention.
ContributorsRahman, Hanna (Author) / Shaibi, Gabriel (Thesis director) / Hoffner, Kristin (Committee member) / School of Nutrition and Health Promotion (Contributor) / School of Social and Behavioral Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The purpose of this study was to examine the association between VLDL and diabetes risk factors, and the impact of a lifestyle intervention on VLDL levels in obese Latino youth. Participants (N=160) in this study were taken from a lager diabetes prevention program for Latino adolescents (Age=14.8±0.8 years, BMI=98.2±1.4). Youth participated in a 12-week lifestyle intervention that included physical activity (60 minutes, 3x/week) and nutrition education sessions (60 minutes, 1x/week) that were delivered to families at the downtown Phoenix YMCA. Primary outcomes included VLDL and diabetes risk factors including fasting and 2-hour glucose and insulin which were measured at baseline and 12-weeks post-intervention. Baseline VLDL levels were significantly correlated with fasting insulin (r =.270, P<0.01) and youth who were more insulin resistant displayed higher VLDL levels compared to youth who were less insulin resistant derived from fasting insulin levels (M=29.8±14.7 mg/dl vs. M=21.6±9.6 mg/dl, P<0.01). In total, 77 participants completed the lifestyle intervention. At post-intervention, VLDL levels were significantly reduced (M=26.0±13.3 mg/dl to M=23.3±11.6 mg/dl, P=0.02). Culturally-grounded, community-based, family-focused lifestyle interventions are a promising approach for reducing cardiovascular disease risk factors in high-risk youth at risk for diabetes.
ContributorsNavabi, Neeku Ariana (Author) / Shaibi, Gabriel (Thesis director) / Soltero, Erica (Committee member) / Ryder, Justin (Committee member) / School of Nutrition and Health Promotion (Contributor) / Arizona State University. College of Nursing & Healthcare Innovation (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
Obesity and related health disparities including type 2 diabetes disproportionately impact Latino youth. These health disparities may be the result of gene-environment interactions, but limited research has examined these interactions in the pediatric age group. Lifestyle intervention is the cornerstone for preventing diabetes among high-risk populations and epigenetic and genetic factors may help explain the biological mechanisms underlying diabetes risk reduction following lifestyle changes. MicroRNAs (miRNAs) are small, non-coding RNA’s that regulate gene expression and have emerged as potential biomarkers for predicting type 2 diabetes risk in adults but have yet to be applied to youth. Therefore, the purpose of this study was to identify changes in miRNA expression among Latino youth with prediabetes (4 female/2 male, ages 14-16, BMI percentile 99 ±.2) who participated in a 12-week lifestyle intervention focused on increasing physical activity and improving nutrition-related behaviors.
ContributorsKarch, Jamie (Co-author) / Day, Samantha (Co-author) / Shaibi, Gabriel (Thesis director) / Coletta, Dawn (Committee member) / Arizona State University. College of Nursing & Healthcare Innovation (Contributor) / College of Integrative Sciences and Arts (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
The City of Phoenix Street Transportation Department partnered with the Rob and Melani Walton Sustainability Solutions Service at Arizona State University (ASU) and researchers from various ASU schools to evaluate the effectiveness, performance, and community perception of the new pavement coating. The data collection and analysis occurred across multiple neighborhoods and at varying times across days and/or months over the course of one year (July 15, 2020–July 14, 2021), allowing the team to study the impacts of the surface treatment under various weather conditions.
ContributorsMiddel, Ariane (Author) / Vanos, Jennifer K. (Author) / Hondula, David M. (Author) / Kaloush, Kamil (Author) / Sailor, David (Author) / Medina, Jose R. (Jose Roberto) (Author) / Schneider, Florian (Author) / Ortiz, Johny Cordova (Author) / Campbell, Bill (Author) / Epel, Erin (Contributor) / Rice, Brendan (Contributor) / Garcia, Ruth (Contributor) / Phoenix (Ariz.). Street Transportation Department (Contributor) / City of Phoenix (Funder) / Industrial Development Authority of the County of Maricopa (Funder) / Julie Ann Wrigley Global Institute of Sustainability (Funder) / Arizona State University. Healthy Urban Environments Program (Contributor)
Created2021-09
Description
Infrastructure systems are facing non-stationary challenges that stem from climate change and the increasingly complex interactions between the social, ecological, and technological systems (SETSs). It is crucial for transportation infrastructures—which enable residents to access opportunities and foster prosperity, quality of life, and social connections—to be resilient under these non-stationary challenges. Vulnerability assessment (VA) examines the potential consequences a system is likely to experience due to exposure to perturbation or stressors and lack of the capacity to adapt. Post-fire debris flow and heat represent particularly challenging problems for infrastructure and users in the arid U.S. West. Post-fire debris flow, which is manifested with heat and drought, produces powerful runoff threatening physical transportation infrastructures. And heat waves have devastating health effects on transportation infrastructure users, including increased mortality rates. VA anticipates the potential consequences of these perturbations and enables infrastructure stakeholders to improve the system's resilience. The current transportation climate VA—which only considers a single direct climate stressor on the infrastructure—falls short of addressing the wildfire and heat challenges. This work proposes advanced transportation climate VA methods to address the complex and multiple climate stressors and the vulnerability of infrastructure users. Two specific regions were chosen to carry out the progressive transportation climate VA: 1) the California transportation networks’ vulnerability to post-fire debris flows, and 2) the transportation infrastructure user’s vulnerability to heat exposure in Phoenix.
ContributorsLi, Rui (Author) / Chester, Mikhail V. (Thesis advisor) / Middel, Ariane (Committee member) / Hondula, David M. (Committee member) / Pendyala, Ram (Committee member) / Arizona State University (Publisher)
Created2022
Description
This project aimed to identify barriers to participation and develop strategies to increase the accessibility of a diabetes prevention program in the Latino community. Surveys were administered to past participants of a randomized control trial at a community event where study results were shared. The top concerns expressed by respondents were related to the use of personal information. Primary barriers to participation included work/school commitments and transportation issues. Strategies to increase accessibility included providing flexible class times, having bilingual research staff, and using multiple forms of community outreach such as flyers, health events, phone calls, texts, and social media. Expanding community partners was also identified as a primary strategy for increasing program reach. Researchers should focus on addressing confidentiality concerns, providing financial compensation for attendance, flexible scheduling, and utilizing diverse outreach methods to enhance access to diabetes prevention programs in the Latino community
ContributorsHouck, Kassidy (Author) / Shaibi, Gabriel (Thesis director) / Williams, Allison (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)
Created2023-05
Description
Machine learning (ML) and deep learning (DL) has become an intrinsic part of multiple fields. The ability to solve complex problems makes machine learning a panacea. In the last few years, there has been an explosion of data generation, which has greatly improvised machine learning models. But this comes with a cost of high computation, which invariably increases power usage and cost of the hardware. In this thesis we explore applications of ML techniques, applied to two completely different fields - arts, media and theater and urban climate research using low-cost and low-powered edge devices. The multi-modal chatbot uses different machine learning techniques: natural language processing (NLP) and computer vision (CV) to understand inputs of the user and accordingly perform in the play and interact with the audience. This system is also equipped with other interactive hardware setups like movable LED systems, together they provide an experiential theatrical play tailored to each user. I will discuss how I used edge devices to achieve this AI system which has created a new genre in theatrical play. I will then discuss MaRTiny, which is an AI-based bio-meteorological system that calculates mean radiant temperature (MRT), which is an important parameter for urban climate research. It is also equipped with a vision system that performs different machine learning tasks like pedestrian and shade detection. The entire system costs around $200 which can potentially replace the existing setup worth $20,000. I will further discuss how I overcame the inaccuracies in MRT value caused by the system, using machine learning methods. These projects although belonging to two very different fields, are implemented using edge devices and use similar ML techniques. In this thesis I will detail out different techniques that are shared between these two projects and how they can be used in several other applications using edge devices.
ContributorsKulkarni, Karthik Kashinath (Author) / Jayasuriya, Suren (Thesis advisor) / Middel, Ariane (Thesis advisor) / Yu, Hongbin (Committee member) / Arizona State University (Publisher)
Created2021