Matching Items (2)
Filtering by

Clear all filters

148452-Thumbnail Image.png

Risk Factors for Perceived Increases in Smoking Due to COVID-19

Description

Due to the COVID-19 pandemic, declared in March of 2020, there have been many lifestyle changes which have likely influenced tobacco smoking behavior. Such lifestyle changes include lockdowns, stay at home orders, reduction in social cues related to smoking, increased stress, and boredom among other things. This study utilized a…

Due to the COVID-19 pandemic, declared in March of 2020, there have been many lifestyle changes which have likely influenced tobacco smoking behavior. Such lifestyle changes include lockdowns, stay at home orders, reduction in social cues related to smoking, increased stress, and boredom among other things. This study utilized a cross-sectional survey which looked into these behaviors, primarily perceived risk to COVID-19, and determined if there is an association between perceived risk and education level/race. Education level is a proxy for income and material resources, therefore making it more likely that people with lower levels of education have fewer resources and higher perceived risk to negative effects of COVID-19. Additionally, people of color are often marginalized in the medical community along with being the target of heavy advertising by tobacco companies which have likely impacted risk to COVID-19 as well.
ContributorsLodha, Pratishtha (Author) / Leischow, J. Scott (Thesis director) / Pearson, Jennifer (Committee member) / School of Life Sciences (Contributor) / School of Human Evolution & Social Change (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
131782-Thumbnail Image.png

Factors Influencing Science Attitudes and Beliefs

Description
The purpose of this study is to understand if there is a demographic variable that predicts science literacy, and if science literacy makes one less likely to believe in pseudoscience. The demographic variables that were tested were age, gender, religion, political affiliation, highest degree completed, field aforementioned degree is in,…

The purpose of this study is to understand if there is a demographic variable that predicts science literacy, and if science literacy makes one less likely to believe in pseudoscience. The demographic variables that were tested were age, gender, religion, political affiliation, highest degree completed, field aforementioned degree is in, and industry in which one is employed. Participants were given 40 statements in total and asked to select whether they strongly agree, somewhat agree, neither agree nor disagree, somewhat disagree, and strongly disagree with that given statement. Statements ranged from scientific facts to historical conspiracies, superstitions and myths. All the data was examined as a whole, followed by comparisons between demographic data and statements. Overall, men were more likely to answer science related questions correctly, while women believed more in conspiracies and myths. Although some trends were identified in the other demographic data sets, the beliefs were either too inconsistent or lacked enough data points to be considered significant. Thus, gender was the only demographic that could be used to predict one’s beliefs.
ContributorsMiller, Dana (Co-author) / Shrum, Madelyn (Co-author) / Sukharev, Maxim (Thesis director) / Martin, Thomas (Committee member) / College of Integrative Sciences and Arts (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05