Matching Items (7)
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- All Subjects: Behavioral Sciences
- Creators: Ainsworth, Barbara
- Creators: Chiou, Erin
Description
While obesity rates have plateaued within the last decade,
two-thirds of the United States
population is currently classified as overweight (defined a
s a body mass index [BMI] of
25-29.9 kg/m²) or obese (a BMI greater than 30 kg/m²). Bariatric
surgical interventions
are not only more effective than behavioral treatments
in the short term but are the only
form of obesity intervention with evidence of consisten
t long-term effectiveness.
However, even among bariatric surgery patients, weight
loss often stabilizes and it is
estimated that more than 20% of bariatric surgery patient
s will regain a significant
amount of weight that was initially lost long-term. Li
ttle research to date has been
conducted on physical activity in post bariatric surgery pati
ents. More specifically, there
have been no studies to date examining the effects of Me
ditative Movement (MM)
programs on body composition in bariatric patients. A s
tudy using an 8-week Tai Chi
Easy program was conducted in female gastric bypass patient
s to explore feasibility of
MM in the bariatric population as well as pre- and post-in
tervention changes in weight,
mindfulness, eating behaviors, body awareness, physical a
ctivity patterns, dietary quality
and mood. Data analysis revealed that there were no s
ignificant changes in weight or
physical activity patterns; however, significant changes w
ere observed in anxiety, overall
body awareness and cognitive restraint in eating. Addit
ionally, a significant decrease in
processed meat consumption and a weak trend towards increa
sed consumption of fruits
may suggest an overall improvement in dietary quality.
two-thirds of the United States
population is currently classified as overweight (defined a
s a body mass index [BMI] of
25-29.9 kg/m²) or obese (a BMI greater than 30 kg/m²). Bariatric
surgical interventions
are not only more effective than behavioral treatments
in the short term but are the only
form of obesity intervention with evidence of consisten
t long-term effectiveness.
However, even among bariatric surgery patients, weight
loss often stabilizes and it is
estimated that more than 20% of bariatric surgery patient
s will regain a significant
amount of weight that was initially lost long-term. Li
ttle research to date has been
conducted on physical activity in post bariatric surgery pati
ents. More specifically, there
have been no studies to date examining the effects of Me
ditative Movement (MM)
programs on body composition in bariatric patients. A s
tudy using an 8-week Tai Chi
Easy program was conducted in female gastric bypass patient
s to explore feasibility of
MM in the bariatric population as well as pre- and post-in
tervention changes in weight,
mindfulness, eating behaviors, body awareness, physical a
ctivity patterns, dietary quality
and mood. Data analysis revealed that there were no s
ignificant changes in weight or
physical activity patterns; however, significant changes w
ere observed in anxiety, overall
body awareness and cognitive restraint in eating. Addit
ionally, a significant decrease in
processed meat consumption and a weak trend towards increa
sed consumption of fruits
may suggest an overall improvement in dietary quality.
ContributorsSmith, Lisa L. (Author) / Larkey, Linda K (Thesis advisor) / Ainsworth, Barbara (Committee member) / Chisum, Jack (Committee member) / Ohri-Vachaspati, Punam (Committee member) / McClain, Darya (Committee member) / Arizona State University (Publisher)
Created2014
Description
Features of the built environment (BE) are related to a wide range of health factors, including leisure-time physical activity (PA) and active forms of transportation. For working adults, worksite neighborhood is likely an important BE to better understand the impact of various factors on PA patterns. Compared to home neighborhood walkability research, worksite walkability has received relatively less attention. The objective of this project was to identify if worksite walkability was significantly associated with PA behavior.
Aims: to evaluate 1) the PA variation explained by work walkability, 2) the moderating effects of person-level characteristics to the relationship between PA and work walkability, and 3) the differences in the rate of change in PA over time by worksite walkability.
Methods: self-report and accelerometer measured PA at baseline (aim 1, 2); longitudinal accelerometer PA during the initial 56 days of a behavioral intervention (aim 3). Adults were generally healthy and reported part- or full-time employment with a geocodeable address outside the home. Geographic Information Systems (GIS) measured walkability followed established techniques (i.e., residential, intersection, and transit densities, and land-use-mix).
Results: On average, worksite walkability did not show direct relationships with PA (aim 1); yet certain person-level characteristics moderated the relationships: sex, race, and not having young children in the household (aim 2). During 56 days of intervention, the PA rate of change over time showed no evidence of a moderating effect by worksite walkability.
Discussion: Worksite walkability was generally not shown to relate to the overall PA. However, specific subgroups (women, those without young children) appeared more responsive to their worksite neighborhood walkability. Prior literature shows certain demographics respond differently with various BE exposures, and this study adds a potentially novel moderator of interest regarding young children at home. Understanding who benefits from access to walkable BE may inform targeted interventions and policy to improve PA levels and foster health equity.
Aims: to evaluate 1) the PA variation explained by work walkability, 2) the moderating effects of person-level characteristics to the relationship between PA and work walkability, and 3) the differences in the rate of change in PA over time by worksite walkability.
Methods: self-report and accelerometer measured PA at baseline (aim 1, 2); longitudinal accelerometer PA during the initial 56 days of a behavioral intervention (aim 3). Adults were generally healthy and reported part- or full-time employment with a geocodeable address outside the home. Geographic Information Systems (GIS) measured walkability followed established techniques (i.e., residential, intersection, and transit densities, and land-use-mix).
Results: On average, worksite walkability did not show direct relationships with PA (aim 1); yet certain person-level characteristics moderated the relationships: sex, race, and not having young children in the household (aim 2). During 56 days of intervention, the PA rate of change over time showed no evidence of a moderating effect by worksite walkability.
Discussion: Worksite walkability was generally not shown to relate to the overall PA. However, specific subgroups (women, those without young children) appeared more responsive to their worksite neighborhood walkability. Prior literature shows certain demographics respond differently with various BE exposures, and this study adds a potentially novel moderator of interest regarding young children at home. Understanding who benefits from access to walkable BE may inform targeted interventions and policy to improve PA levels and foster health equity.
ContributorsHurley, Jane Cathleen (Author) / Adams, Marc A (Thesis advisor) / Todd, Mike (Committee member) / Hooker, Steven P (Committee member) / Ohri-Vachaspati, Punam (Committee member) / Ainsworth, Barbara (Committee member) / Arizona State University (Publisher)
Created2019
Description
Emotions are essential ingredients to the human experience. How one feels influences how one thinks and behaves. The processing capacity for emotion-related information can be thought of as emotional intelligence (Salovey & Mayer, 1997). Regulating emotions and coping with emotional experiences are among the most common reasons individuals seek counseling. Counselors must be uniquely equipped in processing and managing emotional content. Counselor’s skills and abilities related to emotional intelligence are vital to effective counseling. There is indication that confidence in one’s counseling skills may be equally as important as competence in these skills. Counselor self-efficacy, one’s belief in one’s ability to perform counseling activities, has been shown to relate to counselor performance and ability and increased clinical experience has been associated with higher levels of counselor self-efficacy (Larson & Daniels, 1998). One’s emotion-related information processing abilities and one’s clinical experiences may contribute to one’s perception of one’s competencies and abilities as a counselor.
However, this relationship may not be a simple cause-and-effect association. Individuals may possess a certain aptitude (emotional intelligence) and not perceive themselves as competent as counselors. Resilience, one’s ability to “bounce-back” and persevere through adversity may moderate the relation between emotional intelligence and counselor self-efficacy (Wagnild, 1990).
The current study explored the relations among clinical experience, emotional intelligence and resilience in predicting self-efficacy. In addition, whether resilience would moderate the relationship between emotional intelligence and counselor self-efficacy was examined. Eighty counselor trainees enrolled in CACREP-accredited master’s programs participated in this study online. They completed a demographics form, the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT; Mayer, et al., 2002), the Counselor Activities Self-Efficacy Scales (CASES; Lent et al., 2003), and The Resilience Scale (RS; Wagnild & Young, 1993). Multiple hierarchical regressions revealed clinical experience (specifically a completed practicum), emotional intelligence, and resilience predicted counselor self-efficacy. The moderation was not significant. These findings support the value of the exploration of clinical experience, emotional intelligence and resilience in developing counselor self-efficacy. A more comprehensive discussion of the findings, limitations, and implications of the current study as well as suggested direction for future research are discussed herein.
However, this relationship may not be a simple cause-and-effect association. Individuals may possess a certain aptitude (emotional intelligence) and not perceive themselves as competent as counselors. Resilience, one’s ability to “bounce-back” and persevere through adversity may moderate the relation between emotional intelligence and counselor self-efficacy (Wagnild, 1990).
The current study explored the relations among clinical experience, emotional intelligence and resilience in predicting self-efficacy. In addition, whether resilience would moderate the relationship between emotional intelligence and counselor self-efficacy was examined. Eighty counselor trainees enrolled in CACREP-accredited master’s programs participated in this study online. They completed a demographics form, the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT; Mayer, et al., 2002), the Counselor Activities Self-Efficacy Scales (CASES; Lent et al., 2003), and The Resilience Scale (RS; Wagnild & Young, 1993). Multiple hierarchical regressions revealed clinical experience (specifically a completed practicum), emotional intelligence, and resilience predicted counselor self-efficacy. The moderation was not significant. These findings support the value of the exploration of clinical experience, emotional intelligence and resilience in developing counselor self-efficacy. A more comprehensive discussion of the findings, limitations, and implications of the current study as well as suggested direction for future research are discussed herein.
ContributorsPetrolle Clemons, Laura (Author) / Robinson Kurpius, Sharon E (Thesis advisor) / Arciniega, Guillermo M (Committee member) / Kinnier, Richard T (Committee member) / Arizona State University (Publisher)
Created2017
Description
PURPOSE: This study aimed to identify whether increased Pokémon GO use resulted in increased daily steps, compared to days when an individual did not play. In addition, this study examined Pokémon GO as a use case for for the study of gamification, particularly whether traditionally identified game mechanics in gamification literature were successfully identified as elements players enjoy when playing Pokémon GO. METHODS: A mixed methods approach, with 17 participants taking part in a daily physical activity tracking study and 14 participants participating in semi-structured interviews. In the use study, participant steps were tracked for one week using the Apple Health Kit application, and participants were also asked to provide daily answers to a variety of questions assessing game preferences and daily use of Pokémon GO - using the application called PACO. The semi-structured interviews examined self-reported physical activity, and asked questions pertaining to use of Pokémon GO, such as motivation to play. RESULTS: Results assessed by t-test indicate a small but non-significant trend towards increased steps taken on days when a participant played vs. did not play (t(72)=- .56, p=.57, mplay=5,0153220, mnonplay=4,5152,959). This was confirmed with a mixed model test showing that when controlling for time and participant’s baseline level of steps, there was no significant effect on steps/day. Results from the daily surveys and also the semi-structured interviews, indicated that nostalgia (i.e., catching ones’ favorite childhood Pokémon), was a strong motivator for many to play the game, which was counter to theoretical expectations. In line with previous theory, results suggested that operant conditioning principles appeared to be at work in terms of fostering game play use. DISCUSSION: Results of this study, which was a primarily hypothesis generating endeavor, indicated possible trends toward increased steps on days when a person plays Pokémon G), but - with such a small sample, and short-term length of study - no firm conclusions can be drawn. Further, results indicate the particular value of nostalgia as a driver towards game play for Pokémon GO.
ContributorsBiel, Alexander M (Author) / Hekler, Eric (Thesis advisor) / Ainsworth, Barbara (Committee member) / Buman, Matthew (Committee member) / Arizona State University (Publisher)
Created2016
Description
As deception in cyberspace becomes more dynamic, research in this area should also take a dynamic approach to battling deception and false information. Research has previously shown that people are no better than chance at detecting deception. Deceptive information in cyberspace, specifically on social media, is not exempt from this pitfall. Current practices in social media rely on the users to detect false information and use appropriate discretion when deciding to share information online. This is ineffective and will predicatively end with users being unable to discern true from false information at all, as deceptive information becomes more difficult to distinguish from true information. To proactively combat inaccurate and deceptive information on social media, research must be conducted to understand not only the interaction effects of false content and user characteristics, but user behavior that stems from this interaction as well. This study investigated the effects of confirmation bias and susceptibility to deception on an individual’s choice to share information, specifically to understand how these factors relate to the sharing of false controversial information.
ContributorsChinzi, Ashley (Author) / Cooke, Nancy J. (Thesis advisor) / Chiou, Erin (Committee member) / Becker, David V (Committee member) / Arizona State University (Publisher)
Created2019
Description
Vehicular automation and autonomy are emerging fields that are growing at an
exponential rate, expected to alter the very foundations of our transportation system within the next 10-25 years. A crucial interaction has been born out this new technology: Human and automated drivers operating within the same environment. Despite the well- known dangers of automobiles and driving, autonomous vehicles and their consequences on driving environments are not well understood by the population who will soon be interacting with them every day. Will an improvement in the understanding of autonomous vehicles have an effect on how humans behave when driving around them? And furthermore, will this improvement in the understanding of autonomous vehicles lead to higher levels of trust in them? This study addressed these questions by conducting a survey to measure participant’s driving behavior and trust when in the presence of autonomous vehicles. Participants were given several pre-tests to measure existing knowledge and trust of autonomous vehicles, as well as to see their driving behavior when in close proximity to autonomous vehicles. Then participants were presented with an educational intervention, detailing how autonomous vehicles work, including their decision processes. After examining the intervention, participants were asked to repeat post-tests identical to the ones administered before the intervention. Though a significant difference in self-reported driving behavior was measure between the pre-test and post- test, there was no significant relation found between improvement in scores on the education intervention knowledge check and driving behavior. There was also no significant relation found between improvement in scores on the education intervention knowledge check and the change in trust scores. These findings can be used to inform autonomous vehicle and infrastructure design as well as future studies of the effects of autonomous vehicles on human drivers in experimental settings.
exponential rate, expected to alter the very foundations of our transportation system within the next 10-25 years. A crucial interaction has been born out this new technology: Human and automated drivers operating within the same environment. Despite the well- known dangers of automobiles and driving, autonomous vehicles and their consequences on driving environments are not well understood by the population who will soon be interacting with them every day. Will an improvement in the understanding of autonomous vehicles have an effect on how humans behave when driving around them? And furthermore, will this improvement in the understanding of autonomous vehicles lead to higher levels of trust in them? This study addressed these questions by conducting a survey to measure participant’s driving behavior and trust when in the presence of autonomous vehicles. Participants were given several pre-tests to measure existing knowledge and trust of autonomous vehicles, as well as to see their driving behavior when in close proximity to autonomous vehicles. Then participants were presented with an educational intervention, detailing how autonomous vehicles work, including their decision processes. After examining the intervention, participants were asked to repeat post-tests identical to the ones administered before the intervention. Though a significant difference in self-reported driving behavior was measure between the pre-test and post- test, there was no significant relation found between improvement in scores on the education intervention knowledge check and driving behavior. There was also no significant relation found between improvement in scores on the education intervention knowledge check and the change in trust scores. These findings can be used to inform autonomous vehicle and infrastructure design as well as future studies of the effects of autonomous vehicles on human drivers in experimental settings.
ContributorsReagan, Taylor (Author) / Cooke, Nancy J. (Thesis advisor) / Chiou, Erin (Committee member) / Gray, Robert (Committee member) / Arizona State University (Publisher)
Created2019
Description
The current study aims to explore factors affecting trust in human-drone collaboration. A current gap exists in research surrounding civilian drone use and the role of trust in human-drone interaction and collaboration. Specifically, existing research lacks an explanation of the relationship between drone pilot experience, trust, and trust-related behaviors as well as other factors. Using two dimensions of trust in human-automation team—purpose and performance—the effects of experience on drone design and trust is studied to explore factors that may contribute to such a model. An online survey was conducted to examine civilian drone operators’ experience, familiarity, expertise, and trust in commercially available drones. It was predicted that factors of prior experience (familiarity, self-reported expertise) would have a significant effect on trust in drones. The choice to use or exclude the drone propellers in a search-and-identify scenario, paired with the pilots’ experience with drones, would further confirm the relevance of the trust dimensions of purpose versus performance in the human-drone relationship. If the pilot has a positive sense of purpose and benevolence with the drone, the pilot trusts the drone has a positive intent towards them and the task. If the pilot has trust in the performance of the drone, they ascertain that the drone has the skill to do the task. The researcher found no significant differences between mean trust scores across levels of familiarity, but did find some interaction between self-report expertise, familiarity, and trust. Future research should further explore more concrete measures of situational participant factors such as self-confidence and expertise to understand their role in civilian pilots’ trust in their drone.
ContributorsNiichel, Madeline Kathleen (Author) / Chiou, Erin (Thesis advisor) / Cooke, Nancy J. (Committee member) / Craig, Scotty (Committee member) / Arizona State University (Publisher)
Created2019