In this manuscript, the topic of breastfeeding is explored as it relates to a mother's economic and education level. More specifically, family income, employment status, marital status, and level of education are observed in order to identify any trends or patterns that may influence a mother to prefer breastfeeding over formula feeding. The data presented comes from a research study that utilized three prediction scales which aim to understand a mother's attitude towards infant feeding, self efficacy or confidence, and the chance of discontinuing breastfeeding prematurely. The purpose of this project is to call attention to disparities that may exist from a lack of education and resources for mothers to choose the form of infant feeding that is most beneficial to them.

The purpose of this study was to examine the effect of educational videos on Human Papillomavirus (HPV) vaccination intent among young adults aged 18-26. A two-group randomized control trial (RCT) is conducted among 156 individuals (control group n = 79, intervention group n= 77). Inclusion criteria were English-speaking young adults aged 18-26 who have not been vaccinated against HPV. Participants who met the inclusion criteria based on an online screening form were recruited via Amazon Mechanical Turk (MTurk) and invited to join the study. They first completed a pretest (T0) online via REDCap, randomly assigned to the intervention or control group, and completed a posttest (T1) after viewing their assigned intervention. Participants assigned to the intervention group watched two brief animated videos while participants assigned to the control group examined an HPV educational brochure created by the Centers for Disease Control and Prevention (CDC). Guided by the Theory of Planned Behavior, survey questions measured HPV-related knowledge, attitudes, perceived severity, perceived susceptibility, vaccination intent (T0 and T1), sociodemographic characteristics, and health history (T0 only) of participants. The results showed the intervention group had an increase in vaccination intent while the control group had a decrease in vaccination intent. This shows that video education methods are more effective than traditional written education methods at increasing vaccination intention among young adults.

The purpose of this study was to examine the effect of educational videos on Human Papillomavirus (HPV) vaccination intent among young adults aged 18-26. A two-group randomized control trial (RCT) is conducted among 156 individuals (control group n = 79, intervention group n= 77). Inclusion criteria were English-speaking young adults aged 18-26 who have not been vaccinated against HPV. Participants who met the inclusion criteria based on an online screening form were recruited via Amazon Mechanical Turk (MTurk) and invited to join the study. They first completed a pretest (T0) online via REDCap, randomly assigned to the intervention or control group, and completed a posttest (T1) after viewing their assigned intervention. Participants assigned to the intervention group watched two brief animated videos while participants assigned to the control group examined an HPV educational brochure created by the Centers for Disease Control and Prevention (CDC). Guided by the Theory of Planned Behavior, survey questions measured HPV-related knowledge, attitudes, perceived severity, perceived susceptibility, vaccination intent (T0 and T1), sociodemographic characteristics, and health history (T0 only) of participants. The results showed the intervention group had an increase in vaccination intent while the control group had a decrease in vaccination intent. This shows that video education methods are more effective than traditional written education methods at increasing vaccination intention among young adults.

Significant health inequalities exist between different castes and ethnic communities in India, and identifying the roots of these inequalities is of interest to public health research and policy. Research on caste-based health inequalities in India has historically focused on general, government-defined categories, such as “Scheduled Castes,” “Scheduled Tribes,” and “Other Backward Classes.” This method obscures the diversity of experiences, indicators of well-being, and health outcomes between castes, tribes, and other communities in the “scheduled” category. This study analyzes data on 699,686 women from 4,260 castes, tribes and communities in the 2015-2016 Demographic and Health Survey of India to: (1) examine the diversity within and overlap between general, government-defined community categories in both wealth, infant mortality, and education, and (2) analyze how infant mortality is related to community category membership and socioeconomic status (measured using highest level of education and household wealth). While there are significant differences between general, government-defined community categories (e.g., scheduled caste, backward class) in both wealth and infant mortality, the vast majority of variation between communities occurs within these categories. Moreover, when other socioeconomic factors like wealth and education are taken into account, the difference between general, government-defined categories reduces or disappears. These findings suggest that focusing on measures of education and wealth at the household level, rather than general caste categories, may more accurately target those individuals and households most at risk for poor health outcomes. Further research is needed to explain the mechanisms by which discrimination affects health in these populations, and to identify sources of resilience, which may inform more effective policies.