Narratives from African American/Black, American Indian/Alaska Native, and Hispanic/Latinx community members in Arizona to enhance COVID-19 vaccine and vaccination uptake.

The state of Arizona has experienced one of the highest novel coronavirus disease 2019 (COVID-19) positivity test rates in the United States with disproportionally higher case rates and deaths among African-American/Black (AA/B), American Indian/Alaska Native (Native), and Hispanic/Latinx (HLX) individuals. To reduce disparities and promote health equity, researchers from Arizona State University, Mayo Clinic in Arizona, Northern Arizona University, and the University of Arizona formed a partnership with community organizations to conduct state-wide community-engaged research and outreach. This report describes results from 34 virtually-held focus groups and supplemental survey responses conducted with 153 AA/B, HLX, and Native community members across Arizona to understand factors associated with COVID-19 vaccine hesitancy and confidence. Focus groups revealed common themes of vaccine hesitancy stemming from past experiences of research abuses (e.g., Tuskegee syphilis experiment) as well as group-specific factors. Across all focus groups, participants strongly recommended the use of brief, narrative vaccination testimonials from local officials, community members, and faith leaders to increase trust in science, vaccine confidence and to promote uptake.

Coming up short: Comparing venous blood, dried blood spots & saliva samples for measuring telomere length in health equity research.

BACKGROUND: Telomere length (TL) in peripheral blood mononuclear cells (PBMC) from fresh venous blood is increasingly used to estimate molecular impacts of accumulated social adversity on population health. Sometimes, TL extracted from saliva or dried blood spots (DBS) are substituted as less invasive and more scalable specimen collection methods; yet, are they interchangeable with fresh blood? Studies find TL is correlated across tissues, but have not addressed the critical question for social epidemiological applications: Do different specimen types show the same association between TL and social constructs? METHODS: We integrate expertise in social epidemiology, molecular biology, and the statistical impact of measurement error on parameter estimates. Recruiting a diverse sample of 132 Metro-Detroit women, we measure TL for each woman from fresh blood PBMC, DBS, and saliva. Using regression methods, we estimate associations between social characteristics and TL, comparing estimates across specimen types for each woman. RESULTS: Associations between TL and social characteristics vary by specimen type collected from the same woman, sometimes qualitatively altering estimates of the magnitude or direction of a theorized relationship. Being Black is associated with shorter TL in PBMC, but longer TL in saliva or DBS. Education is positively associated with TL in fresh blood, but negatively associated with TL using DBS. CONCLUSION: Findings raise concerns about the use of TL measures derived from different tissues in social epidemiological research. Investigators need to consider the possibility that associations between social variables and TL may be systematically related to specimen type, rather than be valid indicators of socially-patterned biopsychosocial processes.

How are social determinants of health integrated into epigenetic research? A systematic review.

OBJECTIVE: We systematically review the literature on social epigenetics, examining how empirical research to date has conceptualized and operationalized social determinants of health (SDOH). METHODS: Using comprehensive search procedures, we identified studies that consider the impact of SDOH on DNA methylation (DNAm), the most common measure of epigenetic change in research on human adult populations. We analyzed the studies to determine: 1) which populations and environments have been investigated in the literature; 2) how SDOH are defined and operationalized; 3) which SDOH have been linked to DNAm; and 4) what lessons from the SDOH literature can be better integrated into future studies exploring the social determinants of health and epigenetic outcomes. RESULTS: We identified 67 studies, with 39 to 8397 participants. The SDOH most commonly considered were early life socioeconomic exposures and early life trauma or mental health. Our review highlights four broad challenges: a) high dependence on convenience sampling, b) limited racial/ethnic, and geographic diversity in sampling frames, c) overreliance on individual sociodemographic characteristics as proxies for broader stratification processes, and d) a focus on downstream social determinants of health and individualized experiences with social stressors. CONCLUSIONS: Future social epigenetics research should prioritize larger, more diverse and representative population-based samples and employ the SDOH framework to better inform the conceptualization of research questions and interpretation of findings. In particular, the simplified depiction of race/ethnicity, gender, and socioeconomic status as individual-level characteristics should be updated with an explicit acknowledgement that these characteristics are more accurately interpreted as cues used by society to differentiate subpopulations. Social epigenetics research can then more clearly elucidate the biological consequences of these social exposures for patterns of gene expression, subsequent disease etiology, and health inequities.

Structural racism, economic opportunity and racial health disparities: Evidence from U.S. counties.

In this study, we introduce the 'racial opportunity gap' as a place-based measure of structural racism for use in population health research. We first detail constructing the opportunity gap using race-sex specific estimates of intergenerational economic mobility outcomes for a recent cohort. We then illustrate its utility in examining spatial variation in the racial mortality gap. First we demonstrate a correlation between the racial opportunity gap and the racial mortality gap across U.S. counties; where the gap in the adult earnings of black and white children born to families at the same income level is greater so, too, is the gap in mortality. Second, we show in a multivariable framework that the racial opportunity gap is associated with the racial mortality gap net of differences in the socioeconomic composition of the two groups. In so doing, we aim to provide population health researchers with a new empirical tool and analytic framework for examining the role of structural racism in generating racial health disparities.

Health promotion and surveillance: the establishment of an IUHPE global working group.

Following a series of international meetings on behavioral monitoring and surveillance, in 2007 the Italian Ministry of Health (Ministerio della Salute) and the Institute for Health (Istituto Superiore della Sanità) hosted the 5(th) International Conference on Behavioral Risk Factor Surveillance (BRFS) in Rome. A key focus of the conference was on how current surveillance systems could be applied to the field of health promotion, particularly in building the evidence base for health promotion practice. As a result of these discussions, the World Alliance for Risk Factor Surveillance (WARFS), an IUHPE Global Working Group, was formed to work toward providing knowledge and expertise in surveillance as a tool for advancing health promotion. For those IUHPE members interested in participation, this article provides an overview on the strategic direction of WARFS and the newly formed sub-working groups.