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- Creators: Husman, Jenefer
- Creators: School of Human Evolution & Social Change
- Status: Published
A pilot study was conducted to establish the occupation and population codes, coding system, member checks and review processes that were then applied to interview 126 incarcerated young adult males between the ages of 18 and 22 in Arizona correctional facilities. The study produced not only an occupational achievement code, but also refined codes for interpersonal relationships requiring the addition of a spiritual/social code to account for church activities, religion, and spiritual groups, while narrowing the existing interpersonal relationships code to focus on family, children, a spouse or partner. Analysis demonstrated that incarcerated young adults create fewer identified strategies and have fewer aligned strategies to achieve post-release goals. Time served and expected sentences were determined to be significantly associated with the identification of goals, strategies, and development of aligned strategies. The impact of the different time horizon events of during and post incarceration were significant as well, participants identified five times as many goals one year from now in comparison to post-release, and on average 1.5 more strategies to achieve identified goals.
The study demonstrated that the participants expected sentence was a significantly associated covariate to the number of Future Possible Selves’(FPS) defined, number of strategies defined to achieve those FPS goals, and number of aligned strategies to FPS goals across time horizons of 1 year and post release. However, time served was only found to be a statistically significant covariate for both goal identification and strategy identification, not strategy alignment.
During the COVID-19 pandemic, increased burdens have been placed on the Arizona healthcare system, and its healthcare providers. Using a survey with a sample of N=308 prescribing providers and nurses in the Arizona healthcare system, the impact of COVID-19 on the wellbeing of healthcare providers was assessed. The survey used measures to evaluate for physical and emotional wellbeing, burnout, stressors associated with COVID-19, and work-life experiences, and found an overall negative impact on the wellbeing of healthcare workers during the COVID-19 pandemic with increased levels of reported stress and tiredness, concern for the health of family and loved ones, concern for the hardships of patients, lack of alignment between organizational priorities and personal values, and low levels of support and appreciation from socially and from leadership at work.
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.