Ultrashort Version of the Utrecht Work Engagement Scale (UWES-3): A Psychometric Assessment

The objective was to determine the validity of the UWES-3, an ultrashort measure of work engagement lacking evidence in Hispanic populations. In total, 200 workers with heterogeneous positions and careers from Metropolitan Lima were enrolled via nonprobabilistic sampling. The UWES-3 and measures of external variables (work accidents, stress overload, and others) were used. Data were collected through a web platform. Items were analysed, nonparametric response theory methods (Mokken scale analysis and Ramsay curves) were applied to the items, and ordinal and linear regression were used to determine the relationships with external variables. The items had statistically similar distributional properties and monotonic associations with external variables but with fewer functional response options. The UWES-3 complied with the monotonic homogeneity model and invariant ordering of items; the scaling of the items, score (greater than 0.80), and reliability (0.94) were high. With the effects of age and sex controlled, the UWES-3 significantly predicted minor accidents at work and job satisfaction and revealed effects of stress overload and perceived efficacy. The theoretical implications of the UWES-3 as a brief unidimensional measure integrating the three original dimensions of the instrument and the practical implications of its use for research and professional practice are discussed.

Identifying regional variation in place visit behavior during a global pandemic

The emergence of the SARS-CoV-2 virus in 2019 lead to a global pandemic that altered the activity behavior of most people on our planet. While government regulations and public concern modified visitation patterns to places of interest, little research has examined the nuanced changes in the length of time someone spends at a place, nor the regional variability of these changes. In this work, we examine place visit duration in four major U.S. cities, identify which place types saw the largest and smallest changes, and quantify variation between cities. Furthermore, we identify socio-economic and demographic factors that contribute to changes in visit duration and demonstrate the varying influence of these factors by region. The results of our analysis indicate that the pandemic's impact on visiting behavior varies between cities, though there are commonalities found in certain types of places. Our findings suggest that places of interest within lower income communities experienced less change in visit duration than others. An increase in the percentage of younger, Black or Hispanic populations within a community also resulted in a smaller decrease in visit duration than in other communities. These findings offer insight into the factors that contribute to changes in visiting behavior and the resilience of communities to a global pandemic.

Description and Quantification of Sexual Dimorphism of Pubic Body Shape in Hispanic Populations Using Elliptic Fourier Analysis

Sex estimation is important in the creation of a biological profile for unidentified human remains, as positive identification cannot occur until the decedent’s biological traits have been determined and the range of possible matches has been narrowed. The pubic bone is cited as one of the best indicators of sex due to the constraints of childbirth. Current methods that use the pubic bone for sex estimation, however, rely on poorly defined and subjective observations that are susceptible to inter-and intraobserver error. Additionally, many of the methods currently in use are based on North American populations and thus may not necessarily model the variation seen in other populations around the globe. The aim of this study is to gain a better understanding of variation in pubic bone shape in Hispanic populations by separating the influences of sex, ancestry, and age at death. A total of 164 pubic bones from North American Hispanic and Chilean individuals were compared to 287 pubic bones from individuals of Euro-American ancestry from North American collections, using Elliptic Fourier analysis (EFA) of photographs, principal component analysis, and ANCOVA. EFA generated five effective principal components that collectively describe approximately 95% of the variation in the shape of the pubic body. Sex, age at death, and ancestry were all found to significantly influence shape but explained only 25% of the overall variation. The remaining 75% is likely influenced by variables that cannot be controlled for in anthropological analysis, underscoring how little variance in skeletal morphology is actually explainable.

101 - Alzheimer Disease and Dementia: diagnostic challenges and future directions in Hispanic populations

Alzheimer’s disease (AD) and dementia has emerged as a significant societal issue and a global priority. The prevalence of dementia is rising more rapidly in low and middle income countries (LMIC) than in high income countries. A growing body of evidence shows that prevention through risk factor management is the key to reducing the burden of dementia in the society, especially in LMIC. However, a one-size-fits all approach to health promotion is neither efficient nor effective. Latin American countries (LAC) have unique challenges related to dementia, including rapid aging population, high admixture degree and risk factors profile, which influence the prevalence and presentation of dementia. During this session, we will present findings and tools that will help tailor and personalize risk factor management in Hispanics populations. Participants will be first introduced to genetics of Alzheimer disease in Hispanic populations relative to non-Hispanics and the influence of gene by environment interactions. The second presentation will report on the epidemiology and risk factors of AD using cross countries/society comparisons (Non-Hispanics whites vs Hispanics living in US vs Hispanics living in Latin America.) The third presenter will discuss the development of a tool that visualizes how each risk factor contributes to the risk of dementia and how one may lower their risk by addressing the risk factors. The tool can be used in primary care settings in Cuba, Dominican Republic and Puerto Rico. Finally, the fourth presenter uses state-of-the-art digital assessment tools (brain health assessment), for low-cost monitoring of cognitive functioning, MCI and dementia. Such instruments are important for future evaluation of the impact of preventive strategies. At the end of the presentations, attendees will be able to identify the unique genetic and social determinants that drive AD in LAC. Recommendations will be given for preventive strategies tailored to LMIC. The findings to be shared will be essential for building evidence-based interventions tailored to reducing the burden of dementia in the Hispanic populations.Session Chair:Juan Llibre RodriguezAlzheimer Disease and genetics in Hispanic PopulationsJorge J Llibre-GuerraAlzheimer disease epidemiology and risk factors in Caribbean and non-Caribbean Hispanics populations.Ivonne Z. Jiménez VelázquezDevelopment of a tool to motivate for healthy behaviors to prevent dementia in the Caribbean.Daisy AcostaA brief digital cognitive assessment for detection of cognitive impairment in Hispanics populations.Ana Rodriguez-Salgado

Race and Ethnic Group Dependent Space Radiation Cancer Risk Predictions

Future space missions by national space agencies and private industry, including space tourism, will include a diverse makeup of crewmembers with extensive variability in age, sex, and race or ethnic groups. The relative risk (RR) model is used to transfer epidemiology data between populations to estimate radiation risks. In the RR model cancer risk is assumed to be proportional to background cancer rates and limited by other causes of death, which are dependent on genetic, environmental and dietary factors that are population dependent. Here we apply the NSCR-2020 model to make the first predictions of age dependent space radiation cancer risks for several U.S. populations, which includes Asian-Pacific Islanders (API), Black, Hispanic (white and black), and White (non-Hispanic) populations. Results suggest that male API and Hispanic populations have the overall lowest cancer risks, while White females have the highest risk. Blacks have similar total cancer rates as Whites, however their reduced life expectancy leads to modestly lower lifetime radiation risks compared to Whites. There are diverse tissue specific cancer risk ranking across sex and race, which include sex specific organ risks, females having larger lung, stomach, and urinary-bladder radiation risks, and males having larger colon and brain risks.

Race and Ethnic Group Dependent Space Radiation Cancer Risk Predictions

Future space missions by national space agencies and private industry, including space tourism, will include a diverse makeup of crewmembers with extensive variability in age, sex, and race or ethnic groups. The relative risk (RR) model is used to transfer epidemiology data between populations to estimate radiation risks. In the RR model cancer risk is assumed to be proportional to background cancer rates and limited by other causes of death, which are dependent on genetic, environmental and dietary factors that are population dependent. Here we apply the NSCR-2020 model to make the first predictions of age dependent space radiation cancer risks for several U.S. populations, which includes Asian-Pacific Islanders (API), Black, Hispanic (white and black), and White (non-Hispanic) populations. Results suggest that male API and Hispanic populations have the overall lowest cancer risks, while White females have the highest risk. Blacks have similar total cancer rates than Whites, however their reduced life expectancy leads to modestly lower lifetime radiation risks compared to Whites. There are diverse tissue specific cancer risk ranking across sex and race, which include sex specific organ risks, female’s having larger lung, stomach, and urinary-bladder radiation risks, and male’s having larger colon and brain risks.

DEMOGRAPHIC CHANGE AND PERCEPTIONS OF RACISM

Various research has demonstrated that rapid racial demographic change may aid in triggering various forms of backlash under certain conditions. This has led scholars to speak of Whites “defending” their local environment in the face of eroding racial dominance. However, little research has addressed how perceptions of racism among minorities may be triggered under conditions of demographic change. This study attempts to fill this gap in the literature by examining the relationship between racial demographic change for Blacks, Hispanics, and Asians and perceptions of racial problems among these groups in the United States. Using standard OLS regressions, ordered logistic regressions, multinomial logistic regressions, and techniques accounting for selection into treatment, I find that Blacks and Hispanics living in counties undergoing rapid growth of Black and Hispanic populations, respectively, have higher perceptions of racial problems. Asians show no evidence of increased perceptions of racial problems in counties undergoing rapid Asian growth. For Blacks, this relationship is concentrated among those without at least a four-year degree and residents of counties with lower initial White populations (and higher initial Black populations). For Hispanics, it is similarly concentrated among those without at least a four-year degree, but also is likely stronger among residents of counties with higher initial White populations (and lower initial Hispanic populations), highlighting unique racial dynamics. This research adds to a growing body of work showing the importance of examining demographic change at the local level in order to understand some of today’s most pressing political and social issues.

Impact of Amerind ancestry and FADS genetic variation on omega-3 deficiency and cardiometabolic traits in Hispanic populations

Long chain polyunsaturated fatty acids (LC-PUFAs) have critical signaling roles that regulate dyslipidemia and inflammation. Genetic variation in the FADS gene cluster accounts for a large portion of interindividual differences in circulating and tissue levels of LC-PUFAs, with the genotypes most strongly predictive of low LC-PUFA levels at strikingly higher frequencies in Amerind ancestry populations. In this study, we examined relationships between genetic ancestry and FADS variation in 1102 Hispanic American participants from the Multi-Ethnic Study of Atherosclerosis. We demonstrate strong negative associations between Amerind genetic ancestry and LC-PUFA levels. The FADS rs174537 single nucleotide polymorphism (SNP) accounted for much of the AI ancestry effect on LC-PUFAs, especially for low levels of n-3 LC-PUFAs. Rs174537 was also strongly associated with several metabolic, inflammatory and anthropomorphic traits including circulating triglycerides (TGs) and E-selectin in MESA Hispanics. Our study demonstrates that Amerind ancestry provides a useful and readily available tool to identify individuals most likely to have FADS-related n-3 LC-PUFA deficiencies and associated cardiovascular risk.