Religion (specifically Christianity) is the topic of focus, as preliminary evidence suggests an individual’s intuitive inclinations positively correlate with and predict religious beliefs. Moreover, self-reported religious beliefs significantly differed as a function of inducing either intuitive or reflective mindsets. Therefore, the purpose of this experiment was to test the hypothesis that religious participants will display significantly greater levels of loss aversion than nonreligious participants.
This hypothesis extends from a previous study relating large-scale cultural and religious differences with loss aversion. While their results revealed religious orthodoxy strongly influenced loss aversion, the parameters elicited may be less stable as only two lottery questions were asked and religion was determined by cultural demographics. This study used the same design, but with a total of ten lotteries and a more detailed investigation into individual religious factors.
While loss aversion coefficients replicated the overall behavioral effect (Median θ = 2.6), independent sample, Mann-Whitney U tests did not yield any significant differences between Christian and Nonreligious participants (p > 0.05); nor did any of the religious factors examined account for a significant amount of variability.
This study attempted to add to current knowledge by further conflating the relationship between religiosity and adaptive decision strategies susceptible to errant and inconsistent behavior. While the hypotheses were unsupported, a null finding is still important, and future research re-testing this association or introducing causational designs may prove more fruitful in understanding these complex relationships.
Young adults with type one diabetes mellitus (T1DM) face unique challenges in managing their chronic disease. While simultaneously navigating major life transitions and becoming fully responsible for their diabetes-self management behaviors (DSMB), social support can be an integral part of disease management. Many young adults enroll in college where student organizations are prevalent including diabetes related social groups on some campuses, which provide a rich source of social support for students with diabetes as they transition to greater independence in diabetes management. This study used descriptive analysis and personal network analysis (PNA) to investigate which aspects of being a part of a diabetes related social group and personal networks, in general, are pertinent to successful diabetes management, measured by a Diabetes Self-Management Questionnaire (DSMQ) among 52 young adults with T1DM. The majority of respondents indicated that since being a part of College Diabetes Network (CDN) or another diabetes-related social group, they increased time spent paying attention to, and felt more empowered to make changes to their diabetes management routine, and they were able to generally take better care of their diabetes. Half of respondents noticed their health improved since joining, and over half felt less burdened by their diabetes. Though no personal network measures were highly correlated with higher Diabetes Self-Management Scores, the degree to which health matters were discussed within their personal network was the most associated personal network measure. Our findings help contextualize the ways in which young adults’ DSMB are influenced by participation in diabetes- related social groups, as well as introduce the use of personal network analysis in gauging important aspects of social capital and support in young adults with chronic disease.
Young adults with type one diabetes mellitus (T1DM) face unique challenges in managing their chronic disease. While simultaneously navigating major life transitions and becoming fully responsible for their diabetes-self management behaviors (DSMB), social support can be an integral part of disease management. Many young adults enroll in college where student organizations are prevalent including diabetes related social groups on some campuses, which provide a rich source of social support for students with diabetes as they transition to greater independence in diabetes management. This study used descriptive analysis and personal network analysis (PNA) to investigate which aspects of being a part of a diabetes related social group and personal networks, in general, are pertinent to successful diabetes management, measured by a Diabetes Self-Management Questionnaire (DSMQ) among 52 young adults with T1DM. The majority of respondents indicated that since being a part of College Diabetes Network (CDN) or another diabetes-related social group, they increased time spent paying attention to, and felt more empowered to make changes to their diabetes management routine, and they were able to generally take better care of their diabetes. Half of respondents noticed their health improved since joining, and over half felt less burdened by their diabetes. Though no personal network measures were highly correlated with higher Diabetes Self-Management Scores, the degree to which health matters were discussed within their personal network was the most associated personal network measure. Our findings help contextualize the ways in which young adults’ DSMB are influenced by participation in diabetes- related social groups, as well as introduce the use of personal network analysis in gauging important aspects of social capital and support in young adults with chronic disease.
Collective human attitudes influenced by macro-forces that impact environmental issues are partially correlated to our behaviors for the good and the harm of the planet. In this thesis, I will explore how collective human attitudes contribute to pro-environmental behaviors, common and pre-existing frames of mind on major conservation dilemmas, and finally suggest future directions on how humans could be inclined to take on more environmental responsibility through an increase in human-environmental connectivity. It is found that humans are largely driven by institution structures, education, and social influence. In conclusion, more efforts should be placed to further analyze these structural incentives for pro-environmental behaviors and use them to make environmental stewardship more accessible for all people and diverse circumstances. This can be done by evaluating the human dimensions of what influences human attitudes and behaviors, how to use these forces to systematically influence pro-environmental choices, applying these structural forces to main conservation issues, and further incorporating moral discourse into the environmental research in order to appeal correctly to all aspects and perspectives. Only when human connectivity is understood in relation to the natural sciences will we be able to make positive change in the direction of a healthier Earth.
COVID-19 has shocked the bedrock of society, impacting both human life and the economy. Accompanying this shock has been the psychological distress inflicted onto the general population as a result of the emotion strain stemming from isolation/quarantine policies, being sick with COVID-19, dealing with COVID-19 losses, and post-COVID syndrome and its effect on quality of life. The psychological distress has been experienced by the general population, but compared to middle age (30-50) and older adults (>50 years of age), it has been young adults (18-30 years old) who have been more psychologically affected (Glowacz & Schmits, 2020). Psychological distress, specifically anxiety and depression, has been exacerbated by feelings of uncertainty, fear of illness, losing loved ones, and fear of post-COVID syndrome. Post-COVID syndrome, as with other post-viral syndromes such as post viral SARS involve lingering symptoms such as myalgic encephalomyelitis or Chronic Fatigue Syndrome (CFS), and loss of motivation (Underhill, 2015). In addition to these symptoms, patients suffering from post-COVID syndrome have also presented brain inflammation and damaged brain blood vessels (Meinhardt et al., 2021), Endotheliitis (Varga et al., 2020), CV abnormalities and changes in glucose metabolism (Williams et al., 2020). CV abnormalities and changes in glucose metabolism are connected to chronic illnesses like diabetes and heart disease respectively. These chronic illnesses are then associated with higher risk for depression as a result of the stress induced by the symptoms and their impact on quality of life (NIMH, 2021). Further monitoring, and research will be important to gauge ultimate physiological and psychological impact of COVID-19.
Bridging social capital describes the diffusion of information across networks built between individuals of different social identities. This project aims to understand if the bridging ties of economic connectedness (EC), measured by data from Facebook friends and calculated as the average share of high socioeconomic status friends that an individual from a low socioeconomic status has, can be a predictor of variations in COVID-19 infection risk across Arizona ZIP code tabulation areas (ZCTAs). Economic connectedness values across Arizona ZCTAs was examined in addition to the correlation of EC to various social and demographic factors such as age, sex, race and ethnicity, educational background, income, and health insurance coverage. A multiple linear regression model was conducted to examine the association of EC to biweekly COVID-19 growth rate from October 2020 to November 2021, and to examine the longitudinal trends in the association between these two factors. The study found that the bridging ties of economic connectedness has a significant effect size comparable to that of other demographic features, and has implications in being used to identify vulnerabilities and health disparities in communities during the pandemic.