Browsing by Author "Li, Kaigang, advisor"
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Item Embargo How are driving licensure status, delay in driving licensure, and driving exposure associated with alcohol and drug use, parental monitoring knowledge, peer alcohol and drug use, and health, education, and employment of emerging adults?(Colorado State University. Libraries, 2023) Gao, Xiang, author; Li, Kaigang, advisor; Vaca, Federico E., committee member; Sharp, Julia, committee member; DeYoung, Wendy, committee memberIndependence and mobility facilitated by driving privileges could have a major impact on alcohol and drug use, parental monitoring knowledge, peer alcohol and drug use, and health, education, and employment of emerging adults. Driving privileges may provide emerging adults with the ability to move more freely, and that mobility may affect their access to drugs and alcohol. It may also mean that emerging adults with driving privileges were more likely to be in environments where alcohol and drugs were available. Parents of emerging adults with driving privileges may be more involved in monitoring their child's driving activities, resulting in higher levels of parental monitoring knowledge. Emerging adults with driving privileges were more likely to report a higher level of peer alcohol and drug use because having access to a car allowed them to spend more time with their peers and engage in alcohol and drug use. On the other hand, driving privileges may have positive impacts on the health, education, and employment of emerging adults. Having the ability to travel to places of employment and educational institutions may open more opportunities and allow for greater access to resources. This could lead to improved academic and professional outcomes. Overall, driving privileges may have both positive and negative impacts on alcohol and drug use, parental monitoring knowledge, peer alcohol and drug use, and health, education, and employment of emerging adults. It was important to consider these trade-off impacts when considering how to best support emerging adults in their development. My dissertation explored how were driving licensure status, delay in driving licensure, and driving exposure associated with alcohol and drug use, parental monitoring knowledge, peer alcohol and drug use, and health, education, and employment of emerging adults. Data was collected from a nationally representative sample of U.S. emerging adults starting at grade 10th for a seven-year longitudinal assessment. Having driving licensure in high school, no delay in driving licensure, and higher driving exposure were associated with higher levels of alcohol and drug use, higher levels of parental monitoring knowledge, higher levels of peer alcohol and drug use, better health, higher levels of education attainment, and more working hours in emerging adulthood. My dissertation could inform policymakers and practitioners on the importance of driving privileges in promoting the well-being of emerging adults.Item Open Access Motivational profiles as a predictor for physical activity during early months of the COVID-19 global pandemic(Colorado State University. Libraries, 2021) Moore, Kristen, author; Li, Kaigang, advisor; Graham, Daniel, committee member; Dunton, Genevieve, committee memberThe COVID-19 Global pandemic resulted in United States officials mandating stay-at-home, shelter in place, and quarantine ordinances starting in March 2020, limiting opportunities for physical activity (PA) during this period. Motivational profiles use controlled and autonomous attributes of motivation to predict PA maintenance; however, the effect of motivational profiles on PA during the COVID-19 pandemic is unknown. Therefore, the current study used Ecological Momentary Assessment (EMA) to examine the relationship between motivational profiles and daily PA during the COVID-19 pandemic. A convenience sample of 481 U.S. adults (Mage=34.9 years, 78.1% female) participated in a 28-day smartphone-based EMA study during the early months of the COVID-19 pandemic (April – June 2020). EMA surveys assessed number of PA bouts (> 10 mins), length of PA bout, and types of PA completed during the day, which was used to calculate daily PA mins and daily PA metabolic equivalent (METs) mins. A baseline online survey assessed motivation for PA, using the Behavioral Regulation for Exercise 3 (BREQ-3) questionnaire, and demographic information. Latent Profile Analysis (LPA) of the BREQ-3 identified motivational profiles for PA. Separate multi-level linear regression models examined motivational profiles as predictors of average daily PA mins and daily PA MET mins as well as interactions of motivational profile x time (i.e., days in the study). Models controlled for age, sex, ethnicity, income, employment status, body mass index, study site, and start date LPA revealed four distinct motivational profiles for PA including: Class 1) High amotivation (n=102, 21.5%), Class 2) Low controlled motivation (n=55, 11.6%), Class 3) High external regulation (n=47, 9.9%), and Class 4) Moderate autonomous motivation (n=271 57.1%). There were significant negative main effects of motivational profile and time on daily PA mins and daily PA MET mins (b= -0.32, p<.001, b= -1.4, p<.001, respectively). Significant interaction effects of class and time were also detected. Class 2 showed greater decreases in daily PA mins (b=-0.31, p<.01) over time than Class 1. Class 2 and Class 4 also showed significantly greater decreases in daily PA MET mins (b=-1.81, p<.05, and b =-1.49, p<.01, respectively) than Class 3. Motivational profiles for PA predicted mean PA engagement and PA engagement over time during early months of the COVID-19 pandemic. Contrary to previous research, more autonomous/less controlled motivational profiles showed the steepest declines in PA over time; whereas, more amotivated/externally regulated motivational profiles reported lesser declines over time. These findings suggest that COVID-19 restrictions for PA participation may have mitigated the influence of autonomous/less controlled motivation on maintaining PA over time among this sample.Item Open Access Using data science to understand psychosocial determinants of health behaviors(Colorado State University. Libraries, 2020) Courtney, Jimikaye Beck, author; Li, Kaigang, advisor; Nelson, Tracy, advisor; Braun, Barry, committee member; Henry, Kim, committee memberTo view the abstract, please see the full text of the document.Item Open Access Wearable fitness trackers in physical activity research: accuracy assessment and effects on motivation and engagement(Colorado State University. Libraries, 2021) Nuss, Kayla, author; Li, Kaigang, advisor; Nelson, Tracy, advisor; Sharp, Julia, committee member; Marchant, Tasha, committee memberTo view the abstract, please see the full text of the document.