Matching Items (5)
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- All Subjects: Behavioral Sciences
- Creators: Buman, Matthew P
Description
Many individual-level behavioral interventions improve health and well-being. However, most interventions exhibit considerable heterogeneity in response. Put differently, what might be effective on average might not be effective for specific individuals. From an individual’s perspective, many healthy behaviors exist that seem to have a positive impact. However, few existing tools support people in identifying interventions that work for them, personally.
One approach to support such personalization is via self-experimentation using single-case designs. ‘Hack Your Health’ is a tool that guides individuals through an 18-day self-experiment to test if an intervention they choose (e.g., meditation, gratitude journaling) improves their own psychological well-being (e.g., stress, happiness), whether it fits in their routine, and whether they enjoy it.
The purpose of this work was to conduct a formative evaluation of Hack Your Health to examine user burden, adherence, and to evaluate its usefulness in supporting decision-making about a health intervention. A mixed-methods approach was used, and two versions of the tool were tested via two waves of participants (Wave 1, N=20; Wave 2, N=8). Participants completed their self-experiments and provided feedback via follow-up surveys (n=26) and interviews (n=20).
Findings indicated that the tool had high usability and low burden overall. Average survey completion rate was 91%, and compliance to protocol was 72%. Overall, participants found the experience useful to test if their chosen intervention helped them. However, there were discrepancies between participants’ intuition about intervention effect and results from analyses. Participants often relied on intuition/lived experience over results for decision-making. This suggested that the usefulness of Hack Your Health in its current form might be through the structure, accountability, and means for self-reflection it provided rather than the specific experimental design/results. Additionally, situations where performing interventions within a rigorous/restrictive experimental set-up may not be appropriate (e.g., when goal is to assess intervention enjoyment) were uncovered. Plausible design implications include: longer experimental and phase durations, accounting for non-compliance, missingness, and proximal/acute effects, and exploring strategies to complement quantitative data with participants’ lived experiences with interventions to effectively support decision-making. Future work should explore ways to balance scientific rigor with participants’ needs for such decision-making.
One approach to support such personalization is via self-experimentation using single-case designs. ‘Hack Your Health’ is a tool that guides individuals through an 18-day self-experiment to test if an intervention they choose (e.g., meditation, gratitude journaling) improves their own psychological well-being (e.g., stress, happiness), whether it fits in their routine, and whether they enjoy it.
The purpose of this work was to conduct a formative evaluation of Hack Your Health to examine user burden, adherence, and to evaluate its usefulness in supporting decision-making about a health intervention. A mixed-methods approach was used, and two versions of the tool were tested via two waves of participants (Wave 1, N=20; Wave 2, N=8). Participants completed their self-experiments and provided feedback via follow-up surveys (n=26) and interviews (n=20).
Findings indicated that the tool had high usability and low burden overall. Average survey completion rate was 91%, and compliance to protocol was 72%. Overall, participants found the experience useful to test if their chosen intervention helped them. However, there were discrepancies between participants’ intuition about intervention effect and results from analyses. Participants often relied on intuition/lived experience over results for decision-making. This suggested that the usefulness of Hack Your Health in its current form might be through the structure, accountability, and means for self-reflection it provided rather than the specific experimental design/results. Additionally, situations where performing interventions within a rigorous/restrictive experimental set-up may not be appropriate (e.g., when goal is to assess intervention enjoyment) were uncovered. Plausible design implications include: longer experimental and phase durations, accounting for non-compliance, missingness, and proximal/acute effects, and exploring strategies to complement quantitative data with participants’ lived experiences with interventions to effectively support decision-making. Future work should explore ways to balance scientific rigor with participants’ needs for such decision-making.
ContributorsPhatak, Sayali Shekhar (Author) / Buman, Matthew P (Thesis advisor) / Hekler, Eric B. (Committee member) / Huberty, Jennifer L (Committee member) / Johnston, Erik W., 1977- (Committee member) / Swan, Pamela D (Committee member) / Arizona State University (Publisher)
Created2019
Description
The purpose of this study was to examine the feasibility and preliminary efficacy of a theory-driven and a atheoretical reminder point-of-choice (PoC) prompt interventions on reducing workplace sedentary behavior in office workers with self-reported low usage (<4 hours per day) of their sit-stand workstations in the standing position. The design of this study was a cross-over trial including randomization into either the theory-driven or atheoertical reminder condition, after completion of a no prompt control condition. Participants (N=19) included full-time, primarily female, Caucasian, middle-aged office workers. The primary aim of this study was to assess the feasibility of these two PoC prompt conditions on reducing sedentary behaviors through the use of a Therapy Evaluation Questionnaire. The secondary aim of this study was to assess the preliminary efficacy of the two PoC prompt conditions on reducing sedentary behaviors relative to no-prompt control using the activPAL micro device. For the primary aim, descriptive means adjusted for ordering effect were computed. For the secondary aim, mixed-effects regression models were used to cluster for observations within-persons and were adjusted for age, gender, race, job-type, and ordering effects. During the no-prompt control, participants spent 267.90 ± 68.01 sitting and 170.20 ± 69.34 min/8hr workday standing. The reminder PoC prompt condition significantly increased sanding time (b[se] = 24.52 [11.09], p=0.034) while the theory-driven PoC condition significantly decreased time spent in long sitting bouts b[se] = -34.86 [16.20], p=0.036), both relative to no prompt control. No statistically significant reductions in sitting time were seen in either PoC prompt condition. Furthermore, no statistically significant differences between the two PoC prompt conditions were observed. This study provides feasibility insight in addition to objective measures of sedentary behaviors regarding the use of PoC prompt interventions in the workplace.
ContributorsLarouche, Miranda (Author) / Buman, Matthew P (Thesis advisor) / Ainsworth, Barbara E (Thesis advisor) / Huberty, Jennifer L (Committee member) / Arizona State University (Publisher)
Created2018
Description
This study aimed to identify the emotional/affective sources of discrepancies between physical activity behavior and a widely used self-perception measure of physical activity motivation. Overweight women (body mass index [BMI] ≥ 25 kg/m2, 18-64 years of age; N=37) were recruited from Arizona State University community through flyers and online newsletters. Participants wore a SenseWear accelerometer for 6 nights and 7 days and followed their normal patterns of daily living. Participants then completed a single lab visit and verbally responded to questions from the Behavorial Regulation Exercise Questionnaire (BREQ-2) while being video and audio recorded. Captured emotional responses were evaluated with facial recognition software (Noldus FaceReader). Discrepancies between BREQ-2 responses and physical activity behavior were associated with happiness and sadness emotional responses extracted from the facial recognition software using regression-based analyses. Results indicated an association between monitored physical activities and captured emotional response - specifically sadness - and that as intensity in physical activity increases, motivation increases. Associations between happiness/sadness and physical activity were not observed for all intensities of physical activity. A marginally significant association was observed for amotivation and sedentary, light-intensity physical activity, and moderate-vigorous physical activity in the sample. This study demonstrates a proof-of-concept for the integration of an empirical evaluation of happiness and sadness emotional states into the relationship between physical activity motivation and behavior.
ContributorsBryant, Sarah (Author) / Buman, Matthew P (Thesis advisor) / Chisum, Jack W (Committee member) / Hekler, Eric (Committee member) / Arizona State University (Publisher)
Created2016
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
The 24-hour day is spent engaging in activities that include light-physical activity (LPA), moderate-vigorous physical activity (MVPA), sedentary time (i.e., sitting/lying/reclining posture with energy expenditure <1.5 METs, while awake), and sleep. These behaviors are mutually exclusive and time spent in one behavior affects the time spent in another. The time among these 24-hour behaviors is also associated with cardiometabolic health outcomes, including adiposity. Assessing specific behavioral contexts and their relationship within the 24-hour day is underdeveloped, this includes recreational sedentary screen time (rSST). rSST is sedentary time with televisions, computers, smartphones, tablets, inactive video games, and its relationship with other 24-hour behaviors is underdeveloped. This dissertation works evaluates the relationship between rSST and 24-hour behaviors, and adiposity in adults. The first study reviewed the existing observational and experimental evidence for rSST and its relationship with 24-hour behaviors by conducting a scoping review. From the 75 experimental and observational studies included, the evidence supported an overall positive association between rSST and non-screen sedentary behavior, an overall negative association between rSST with physical activity, and overall positive and negative associations between rSST with various sleep variables. The second study assessed the daily associations between rSST and 24-hour behaviors and how associations are influenced by age, sex, chronotype, and week- or weekend days. The findings include significant negative associations at between- and within-person levels for rSST with non-screen sedentary time, standing, LPA, MVPA, and sleep that were differentially influenced by age, chronotype, and week- or weekend day. The third study examined reallocating time between rSST and 24-hour behaviors and the associations with adiposity (i.e., body mass index, body fat percentage, and waist circumference). The results showed significant associations of replacing non-screen sedentary time with MVPA for both body fat percentage and waist circumference; and no significant associations between rSST and 24-hour behaviors for body mass index. Overall, this dissertation work provides important insights into the relationships between rSST and 24-hour behaviors and their relation to adiposity. These findings can be used to inform future intervention development targeting multiple behavior changes and improving health outcomes.
ContributorsHasanaj, Kristina (Author) / Buman, Matthew P (Thesis advisor) / Petrov, Megan E (Thesis advisor) / Sears, Dorothy D (Committee member) / Yu, Fang (Committee member) / Keadle, Sarah K (Committee member) / Arizona State University (Publisher)
Created2023