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Purpose: Use a large nationally representative population to evaluate whether differences in mortality in relation to residential racial and ethnic segregation and diversity varied by gender, and race or Hispanic ethnicity in the United States.Methods: The Mortality Disparities in American Communities (MDAC) was used to evaluate mortality risk in relation to segregation. MDAC is a nationally representative record linkage of the 2008 American Community Survey data with mortality outcomes derived from the National Death Index through 2015. Gender-stratified mortality risk for White, Black, and Hispanic groups in relation to quartiles of residential segregation, composition, and diversity were modeled using parametric survival regression with an exponential distribution, adjusted for individual-level socioeconomic characteristics.Results: The study population included >3,950,000 individuals and >273,000 all-cause mortality outcomes. Statistically significant differences in associations were observed with Black segregation vs. Hispanic segregation across Black or Hispanic groups; some differences in stratification by gender for Hispanic and Non-Hispanic Black groups, but gender-stratified associations were more similar in non-Hispanic Whites.Conclusions: Future multidisciplinary and ethnographic research is needed to identify the specific structural mechanisms by which these associations differ to support means by which to more effectively target public health interventions. [ABSTRACT FROM AUTHOR]

Policy makers would benefit from being able to estimate the likely impact of potential interventions to reverse the effects of rapidly rising income inequality on mortality rates. Using multiple cohorts of the National Longitudinal Mortality Study (NLMS), we estimate the absolute income effect on premature mortality in the United States. A multivariate Poisson regression using the natural logarithm of equivilized household income establishes the magnitude of the absolute income effect on mortality. We calculate mortality rates for each income decile of the study sample and mortality rate ratios relative to the decile containing mean income. We then apply the estimated income effect to two kinds of hypothetical interventions that would redistribute income. The first lifts everyone with an equivalized household income at or below the U.S. poverty line (in 2000$) out of poverty, to the income category just above the poverty line. The second shifts each family's equivalized income by, in turn, 10%, 20%, 30%, or 40% toward the mean household income, equivalent to reducing the Gini coefficient by the same percentage in each scenario. We also assess mortality disparities of the hypothetical interventions using ratios of mortality rates of the ninth and second income deciles, and test sensitivity to the assumption of causality of income on mortality by halving the mortality effect per unit of equivalized household income. The estimated absolute income effect would produce a three to four percent reduction in mortality for a 10% reduction in the Gini coefficient. Larger mortality reductions result from larger reductions in the Gini, but with diminishing returns. Inequalities in estimated mortality rates are reduced by a larger percentage than overall estimated mortality rates under the same hypothetical redistributions. [ABSTRACT FROM AUTHOR]

BACKGROUND: Nonmedical use of prescription medication (NUPM) is associated cross-sectionally with a host of medical and psychosocial consequences. Few studies, however, have examined longitudinal outcomes based on NUPM indicators. This study aimed to address this gap by examining change in health-related quality of life as a function of NUPM status. METHODS: Data are from waves 1 and 2 of the National Epidemiological Survey on Alcoholism and Related Conditions (NESARC) a household-based, nationally-representative survey of the US population. 34,653 participants who completed both NESARC waves were included in analyses. The primary outcome measure was the 12-item Short Form Health Survey (SF-12), with history of NUPM of opioids, tranquilizer/sedatives and stimulants (examined separately) at wave 1 and any NUPM between waves 1 and 2 used to group participants. Sociodemographic characteristics were used as control variables. RESULTS: Across medication classes, results indicated that individuals who initiated NUPM between waves (initiators) had greater declines or smaller increases on many SF-12 scales, when compared to other groups. Individuals with a history of NUPM at wave 1 but no use between waves (quitters) and never users generally had the best outcomes in terms of change in SF-12 scales, with quitters making larger gains (or smaller losses) in mental health-related quality of life. Persistent users were generally intermediate between initiators and quitters or never users. CONCLUSIONS: These data reinforce the importance of preventing NUPM initiation and of promoting NUPM cessation, highlighting the need for greater use of NUPM-related public health interventions. [ABSTRACT FROM AUTHOR]

Background: Pain interference is associated with substance use, but has yet to be considered as a potential indicator of SUDs among substance users. We sought to examine whether moderate and high pain interference would confer risk for SUDs in ever and weekly users.Methods: Using data from the National Epidemiologic Survey on Alcohol and Related Conditions, logistic regression analyses were conducted to examine the association between pain interference and concurrent and prospective alcohol and nicotine dependence, as well as concurrent cannabis use disorder. Those with no/low pain were used as the reference group. Gender was examined as a moderator.Results: Controlling for relevant covariates, moderate pain interference was associated with past year alcohol (odds ratio [OR] = 1.33, 95% CI, 1.16-1.52, p < .001) and nicotine (OR = 1.41, 95% CI 1.27-1.56, p < .001) dependence among ever users. In prospective analyses, moderate pain interference predicted the development of alcohol (Moderate: OR = 1.56, 95% CI, 1.39-1.75, p < .001) and nicotine (OR = 1.37, 95% CI, 1.14-1.65, p < .001) dependence. Similar results were found with high pain and for weekly users. Both moderate and high pain interference were associated with past-year occurrence of cannabis use disorder for women but not men. High pain predicted the development of nicotine dependence exclusively among males.Conclusion: Pain interference may confer risk for the occurrence of cannabis use disorder among female cannabis users and the occurrence and development of alcohol and nicotine dependence among users of both genders. Pain interference may be an important factor to monitor in these populations. [ABSTRACT FROM AUTHOR]