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Description
Background: The purpose of this study was to determine the feasibility of using Facebook as compared to a discussion board in an online, web-based intervention, Fit Minded College Edition-Podcasts (FMCEP), to improve physical activity and self-worth in female college students.
Methods: Participants (n=55) were randomly assigned to either a private Facebook group (FB) or the Fit Minded discussion board (DB) to participate in discussion of health and wellness related podcasts. FMCEP was a 6-week intervention guided by the self-determination theory (SDT) to target autonomy, relatedness and competence. Each week participants were instructed to complete three tasks: (1) listen to an assigned podcast, (2) complete a workbook assignment, and (3) participate in FB or DB online discussion. Participants completed assessments at baseline and post-intervention (6-weeks).
Results: Self-reported physical activity (p=0.032, η2= 0.193) and physical self-worth (p<0.001, η2=0.747) increased significantly over time, but no difference was seen between the groups for both physical activity (p=0.266, η2= 0.056) and physical self-worth (p=0.485, η2=0.024). Website use (measured by mean number of engagements per day, each week) declined across the 6-week intervention in the DB group but was consistent in the FB group.
Conclusion: These findings suggest web-based interventions, guided by SDT, can improve physical activity and physical self-worth among female college students, and the Facebook group may be more feasible and effective. Future studies are needed to optimize web-based physical activity interventions in college females.
Methods: Participants (n=55) were randomly assigned to either a private Facebook group (FB) or the Fit Minded discussion board (DB) to participate in discussion of health and wellness related podcasts. FMCEP was a 6-week intervention guided by the self-determination theory (SDT) to target autonomy, relatedness and competence. Each week participants were instructed to complete three tasks: (1) listen to an assigned podcast, (2) complete a workbook assignment, and (3) participate in FB or DB online discussion. Participants completed assessments at baseline and post-intervention (6-weeks).
Results: Self-reported physical activity (p=0.032, η2= 0.193) and physical self-worth (p<0.001, η2=0.747) increased significantly over time, but no difference was seen between the groups for both physical activity (p=0.266, η2= 0.056) and physical self-worth (p=0.485, η2=0.024). Website use (measured by mean number of engagements per day, each week) declined across the 6-week intervention in the DB group but was consistent in the FB group.
Conclusion: These findings suggest web-based interventions, guided by SDT, can improve physical activity and physical self-worth among female college students, and the Facebook group may be more feasible and effective. Future studies are needed to optimize web-based physical activity interventions in college females.
ContributorsSorteberg, Samantha Fern (Author) / Huberty, Jennifer (Thesis director) / Bruening, Meg (Committee member) / Mailey, Emily (Committee member) / School of Nutrition and Health Promotion (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Meditation app usage is associated with decreases in stress, anxiety, and depression symptoms. Many meditation app subscribers, however, quickly abandon or reduce their app usage. This dissertation presents three manuscripts which 1) determined the behavioral, demographic, and socioeconomic factors associated with the abandonment of a meditation app, Calm, during the COVID-19 pandemic, 2) determined which participant characteristics predicted meditation app usage in the first eight weeks after subscribing, and 3) determined if changes in stress, anxiety, and depressive symptoms from baseline to Week 8 predicted meditation app usage from Weeks 8-16. In Manuscript 1, a survey was distributed to Calm subscribers in March 2020 that assessed meditation app behavior and meditation habit strength, and demographic information. Cox proportional hazards regression models were estimated to assess time to app abandonment. In Manuscript 2, new Calm subscribers completed a baseline survey on participants’ demographic and baseline mental health information and app usage data were collected over 8 weeks. In Manuscript 3, new Calm subscribers completed a baseline and Week 8 survey on demographic and mental health information. App usage data were collected over 16 weeks. Regression models were used to assess app usage for Manuscripts 2 and 3. Findings from Manuscript 1 suggest meditating after an existing routine decreased risk of app abandonment for pre-pandemic subscribers and for pandemic subscribers. Additionally, meditating “whenever I can” decreased risk of abandonment among pandemic subscribers. No behavioral factors were significant predictors of app abandonment among the long-term subscribers. Findings from Manuscript 2 suggest men had more days of meditation than women. Mental health diagnosis increased average daily meditation minutes. Intrinsic motivation for meditation increased the likelihood of completing any meditation session, more days with meditation sessions, and more average daily meditation minutes. Findings from Manuscript 3 suggest improvements in stress increased average daily meditation minutes. Improvements in depressive symptoms decreased daily meditation minutes. Evidence from this three-manuscript dissertation suggests meditation cue, time of day, motivation, symptom changes, and demographic and socioeconomic variables may be used to predict meditation app usage.
ContributorsSullivan, Mariah (Author) / Stecher, Chad (Thesis advisor) / Huberty, Jennifer (Committee member) / Buman, Matthew (Committee member) / Larkey, Linda (Committee member) / Chung, Yunro (Committee member) / Arizona State University (Publisher)
Created2022
Description
Traditional Reinforcement Learning (RL) assumes to learn policies with respect to reward available from the environment but sometimes learning in a complex domain requires wisdom which comes from a wide range of experience. In behavior based robotics, it is observed that a complex behavior can be described by a combination of simpler behaviors. It is tempting to apply similar idea such that simpler behaviors can be combined in a meaningful way to tailor the complex combination. Such an approach would enable faster learning and modular design of behaviors. Complex behaviors can be combined with other behaviors to create even more advanced behaviors resulting in a rich set of possibilities. Similar to RL, combined behavior can keep evolving by interacting with the environment. The requirement of this method is to specify a reasonable set of simple behaviors. In this research, I present an algorithm that aims at combining behavior such that the resulting behavior has characteristics of each individual behavior. This approach has been inspired by behavior based robotics, such as the subsumption architecture and motor schema-based design. The combination algorithm outputs n weights to combine behaviors linearly. The weights are state dependent and change dynamically at every step in an episode. This idea is tested on discrete and continuous environments like OpenAI’s “Lunar Lander” and “Biped Walker”. Results are compared with related domains like Multi-objective RL, Hierarchical RL, Transfer learning, and basic RL. It is observed that the combination of behaviors is a novel way of learning which helps the agent achieve required characteristics. A combination is learned for a given state and so the agent is able to learn faster in an efficient manner compared to other similar approaches. Agent beautifully demonstrates characteristics of multiple behaviors which helps the agent to learn and adapt to the environment. Future directions are also suggested as possible extensions to this research.
ContributorsVora, Kevin Jatin (Author) / Zhang, Yu (Thesis advisor) / Yang, Yezhou (Committee member) / Praharaj, Sarbeswar (Committee member) / Arizona State University (Publisher)
Created2021
Description
Young adult collegiate women, particularly students with adverse childhood experiences (ACEs) and who have experienced intimate partner violence (IPV) victimization, report a myriad of adverse mental health and academic difficulties. Practicing yoga has demonstrated promising findings among adults as a healing modality in the aftermath of interpersonal violence victimization and traumatization. Less known are the associations between collegiate women’s yoga participation and their mental health, body connection, and academic well-being examined through a yoga feminist- trauma conceptual framework. Among young adult collegiate women, this study examined (1) associations amongst socio-demographics, mental health service use, IPV types, and yoga participation (2) the strength and direction of associations on measures of ACEs, mental health, body connection, and academic well-being, (3) whether yoga participation predicted students’ mental health, body connection, and academic well-being after controlling for confounding variables, including ACEs and IPV victimization, and (4) whether socio-demographics, mental health service use, ACEs, and IPV types predicted yoga participation. This study was observational, cross-sectional, and gathered self-report quantitative data. Eligible participants were current collegiate women enrolled at an urban, public university in the southwestern United States who were 18 to 24 years of age. The main sub-sample (n = 93) included students who were ever in an intimate relationship and practiced yoga within the past year. IRB approval was obtained. Findings demonstrated that yoga participation was not a significant predictor of students’ mental health, body connection, or academic well-being. Socio-demographics, mental health service use, ACEs, and IPV did not predict yoga participation. However, women with greater ACEs fared worse on measures of mental health (i.e., depression and post-traumatic stress disorder symptoms), and women with experiences of IPV harassment reported greater post-traumatic stress disorder symptoms. Further, employed women reported fewer depression symptoms and were less likely to experience emotional IPV. Lastly, students with greater body connection (more awareness) fared better academically. This research supports prior literature on the adverse mental health outcomes among young adult collegiate women with histories of interpersonal violence. Further examination is warranted into employment and body connection, particularly related to yoga, as protective factors of students' health, safety, and academic well-being.
ContributorsKappas Mazzio, Andrea Alexa (Author) / Messing, Jill T (Thesis advisor) / Mendoza, Natasha (Committee member) / Huberty, Jennifer (Committee member) / Arizona State University (Publisher)
Created2022
Description
Cities in the Global South face rapid urbanization challenges and often suffer an acute lack of infrastructure and governance capacities. Smart Cities Mission, in India, launched in 2015, aims to offer a novel approach for urban renewal of 100 cities following an area‐based development approach, where the use of ICT and digital technologies is particularly emphasized. This article presents a critical review of the design and implementation framework of this new urban renewal program across selected case‐study cities. The article examines the claims of the so‐called “smart cities” against actual urban transformation on‐ground and evaluates how “inclusive” and “sustainable” these developments are. We quantify the scale and coverage of the smart city urban renewal projects in the cities to highlight who the program includes and excludes. The article also presents a statistical analysis of the sectoral focus and budgetary allocations of the projects under the Smart Cities Mission to find an inherent bias in these smart city initiatives in terms of which types of development they promote and the ones it ignores. The findings indicate that a predominant emphasis on digital urban renewal of selected precincts and enclaves, branded as “smart cities,” leads to deepening social polarization and gentrification. The article offers crucial urban planning lessons for designing ICT‐driven urban renewal projects, while addressing critical questions around inclusion and sustainability in smart city ventures.`
ContributorsPraharaj, Sarbeswar (Author)
Created2021-05-07
ContributorsCacciatore, Joanne (Author) / Rådestad, Ingela (Author) / Froen, J.F. (Author) / Arizona State University. School of Social Work (Contributor)
Created2008-06-05
ContributorsFox, Melanie (Author) / Cacciatore, Joanne (Author) / Lacasse, Jeff (Author) / Arizona State University. School of Social Work (Contributor)
Created2013-06-06
ContributorsCacciatore, Joanne (Author) / Carlson, Bonnie E. (Author) / Klimek, Barbara (Author) / Steffan, Sara (Author) / Arizona State University. School of Social Work (Contributor)
Created2011-01
ContributorsKoopmans, Laura (Author) / Wilson, Trish (Author) / Cacciatore, Joanne (Author) / Flenady, Vicki (Author) / Arizona State University. School of Social Work (Contributor)
Created2013-03-15
ContributorsCacciatore, Joanne (Author) / Bushfield, Suzanne Young (Author) / Arizona State University. School of Social Work (Contributor)
Created2007-05-29