Suchergebnisse

Introduction: Visual impairment among older adults has increasingly become one of the biggest challenges to public health and personal well-being in the United States. This study aims to examine whether the intersectionality hypothesis can be used in conjunction with the cumulative advantage (disadvantage), persistent inequality, or age-as-leveler to explain heterogeneity in low vision trajectories across birth cohorts, race or ethnicity, gender, and the level of education. Methods: Growth curve modeling was used to analyze data from the 2002–2014 Health and Retirement Study. Results: The type of trajectory (i.e., cumulative advantage or disadvantage, the persistent inequality, and the age-as-leveler) that characterize low vision is largely dependent upon the characteristics of an individual (i.e., race or ethnicity, gender, and education). Discussion: Trajectories of low vision are higher among females and those from ethnic minority groups with low levels of education. Implications for practitioners: Targeted interventions and attempts to close interethnic disparities in vision functioning should begin early on in life and should focus on racial ethnic minorities, females, and those with low education.

This study aims to better understand the contribution of potential non-ignorable nonresponse associated with attrition and wave-nonresponse in race/ethnicity disparities in health trajectories. The empirical work of this study is based on the 1992-2010 Health and Retirement Study (HRS). Both growth curve models (direct likelihood maximization and pattern mixture) have very similar results, but the standard errors tended to be slightly underestimated in the former. Results from the growth curve models suggest that with age, racial/ethnic disparities in health decrease for low educated individuals, persist for those with at least a high school education and for Hispanic elderly with a highs school or GED education, and increase among the lower educated. The study concludes that any possible non-ignorable differences between models are not large enough to affect inferences drawn from the data analysis.

Understanding the dynamics of contraceptive use among women migrants is considered important, especially to a country like Thailand that is undergoing many changes, and an increasingly female-dominated migration during the last few decades. Using survey data collected in 2000, this study seeks to examine the determinants of modern contraceptive use among women migrants in Nang Rong, Thailand. The study found that several demographic and socioeconomic factors are significant predictors of contraceptive use among women migrants and the magnitude of such effects varies across different migrant types.

Abstract
To our knowledge, this is one of the pioneering studies that examined the associations between changes in different dimensions of social vulnerability from 2000 to 2016 on damage levels resulting from Hurricane Harvey. The empirical work was based on data obtained from the FEMA Modeled Building Damage Assessments Harvey 20170829 and the Agency for Toxic Substances and Disease Registry (ATSDR)'s Geospatial Research, Analysis & Services Program (GRASP). Results from linear mixed effects modeling and the spatial error and CAR models suggested that damage level was determined by certain aspects of social vulnerability; the level of damage increased with inundation depth, population aging, and the proportion of minority population. Efforts to promote resilience in natural disasters should focus on individuals living in areas characterized by increases in population aging and minority population. Results also revealed that certain processes associated with economic growth and urban development might affect an area's resilience and susceptibility to natural disasters and the processes associated with disaster response and mitigation.

To date, there is a lack of empirical analysis about their effect on survey nonresponse in most developing countries, including Indonesia. To fill this research gap, this study aims to extend previous research to explore the use of paradata in predicting survey non-participation in the 2007 Indonesian Family Life Survey (IFLS4). Findings suggest that non-response may be lowered if interviewers make an effort to contact respondents during weekday afternoons and evenings, and during the weekends. Non-response may be also be lowered if survey organizations make special efforts to maintain contact with households with dependent children, disabled or sick individuals, and multiple working adults, as well as households located in urban areas.