Community social environments and cigarette smoking.

Cigarette smoking remains a primary contributor to health disparities in the United States, and significant evidence suggests that smoking behavior is socially influenced. Though residential neighborhoods are important for health disparities, recent evidence suggests that people spend the majority of their waking time away from the residential neighborhood. We advance research on neighborhoods and smoking by using individual, neighborhood, and activity space data for adults in the Los Angeles Family and Neighborhood Survey (L.A.FANS). Moving beyond socioeconomic indicators of neighborhoods, we investigate the ways in which residential neighborhood social cohesion, neighborly exchange, and perceived danger impact smoking behavior after accounting for confounding factors in both the residential neighborhood and other activity spaces in which adults spend their days. We find that perceptions of danger in the residential neighborhood is robustly associated with the likelihood of smoking cigarettes. Further, measures of community social organization interact with perceived danger to influence smoking behavior. Adults with high levels of perceived danger are twice as likely to smoke if residing in communities with lower levels of social organization in the form of helpful, trusting, and supportive relationships. Understanding how the social organization of communities contributes to smoking disparities is important for curbing smoking's impact on population health.

Disparities in Access to Radiation Therapy Facilities Among American Indians/Alaska Natives and Hispanics in Washington State.

PURPOSE: Racial and ethnic minorities in the state of Washington experience higher cancer mortality relative to whites. We sought to characterize differences in travel distance to radiation therapy (RT) facilities in Washington by race and ethnicity with a special focus on non-Hispanic American Indians and Alaska Natives as a contributor to limited access and cancer disparities. METHODS AND MATERIALS: Geocoded mortality data from Washington Department of Health (2011-2018) were used to identify decedents with mortality related to all-causes, all cancers, and cancers likely requiring access to RT. This was determined from optimal RT usage estimates by diagnosis. RT facility locations were ascertained from the Directory of Radiation Therapy Centers and confirmed. Distance from decedents' address listed on death certificates to nearest RT facility was calculated. Generalized mixed models were used for statistical analysis. RESULTS: We identified 418,754 deaths; 109,134 were cancer-related, 60,973 likely required RT. Among decedents with cancers likely requiring RT, non-Hispanic American Indians and Alaska Natives decedents would have had to travel 1.16 times (95% confidence interval [CI], 1.09-1.24) farther from their residences to reach the nearest treatment facility compared with non-Hispanic whites. This association existed in metro counties but was more pronounced in nonmetro counties (1.39 times farther; 95% CI, 1.22-1.58). In addition, Hispanics would have had to travel 1.11 times farther (95% CI, 1.06-1.16) to reach the nearest facility compared with non-Hispanic whites, primarily due to differences in urban counties. Decedents in nonmetro counties lived on average 35 miles (SD = 29) from RT centers and non-Hispanic American Indians and Alaska Natives in nonmetro counties 53 miles (SD = 38). Compared with non-Hispanic white decedents, those who were non-Hispanic black, non-Hispanic Asian, and non-Hispanic Native Hawaiian decedents lived closer to RT facilities. CONCLUSIONS: We observed significant disparities in access to RT facilities in Washington, specifically for non-Hispanic American Indians and Alaska Natives and rural decedents. The findings call for initiatives to improve access to critical cancer treatment services for these underserved populations with known disparities in cancer deaths.

Racial disparities in health and health behaviors among gay, lesbian, bisexual and heterosexual men and women in the BRFSS-SOP.

Objectives: Research on sexual minority health lack examinations of how sexual orientation intersects with other identities, including racial/ethnic identity, to shape health outcomes among U.S. adults. This study examines how health status and health behavior varies for gay, lesbian, and bisexual men and women who identify as non-Hispanic white, non-Hispanic black, Latino, Asian/Pacific Islander, and American Indian/Alaskan Native. By examining health and health behaviors within and across sexual minority subgroups, our study reports on race/ethnic, gender, and sexual orientation specific health risks.Methods: We respond to shortcomings in current data by utilizing aggregated data from fourteen states from the Behavioral Risk Factor Surveillance System (BRFSS) collected between 2005 and 2010 (n = 557,773). We investigated the odds of reporting poorer health, current cigarette smoking, and obesity by sexual orientation within race/ethnic and gender subgroups; all statistical analyses were performed in 2016.Results: Results suggest persistent health and behavior disadvantages for lesbian and bisexual women of all racial and ethnic identities, relative to heterosexuals. Some of the heightened odds are extreme. Asian/Pacific Islander lesbian (OR = 3.92) and bisexual (OR = 4.61) women, for example, have 4.0 times higher odds of smoking than heterosexual A/PI women. Results for men are more variable. To illustrate, the odds of obesity for White and A/PI men are indistinguishable between bisexuals and heterosexuals, and Black and American Indian/Alaskan Native bisexuals have lower odds of obesity than their heterosexual counterparts.Conclusion: These findings highlight the need for policy efforts aimed at improving health and health behaviors among lesbian and bisexual women across groups, and more targeted efforts among sexual minority men.

Cross-national sources of health inequality: education and tobacco use in the World Health Survey.

The spread of tobacco use from the West to other parts of the world, especially among disadvantaged socioeconomic groups, raises concerns not only about the indisputable harm to global health but also about worsening health inequality. Arguments relating to economic cost and diffusion posit that rising educational disparities in tobacco use-and associated disparities in health and premature mortality-are associated with higher national income and more advanced stages of cigarette diffusion, particularly among younger persons and males. To test these arguments, we use World Health Survey data for 99,661 men and 123,953 women from 50 low-income to upper-middle-income nations. Multilevel logistic regression models show that increases in national income and cigarette diffusion widen educational disparities in smoking among young persons and men but have weaker influences among older persons and women. The results suggest that the social and economic patterns of cigarette adoption across low- and middle-income nations foretell continuing, and perhaps widening, disparities in mortality.

Education inequality in mortality: The age and gender specific mediating effects of cigarette smoking.

A debate within the mortality literature centers around the impact of health behaviors on the prospects of disadvantaged groups. Meanwhile, a growing body of work illustrates the social processes that shape changes in smoking levels by socioeconomic status (SES), especially educational attainment. These literatures are merged by examining the mediating effects of cigarette smoking on education gaps in U.S. adult mortality by age and gender. Findings reveal that cigarette smoking is an important mediator of the education-mortality gap for all males and for younger females. In particular, education-mortality gaps for young men narrow considerably when cigarette smoking is accounted for, while older women experienced no reduction in the education-mortality gap with controls for smoking. These results are consistent with diffusion arguments that describe SES differences in smoking adoption by age and gender and provide strong evidence that smoking is an important differentiator of mortality risks by education.

Socioeconomic Disparities in Health Behaviors.

The inverse relationships between socioeconomic status (SES) and unhealthy behaviors such as tobacco use, physical inactivity, and poor nutrition have been well demonstrated empirically but encompass diverse underlying causal mechanisms. These mechanisms have special theoretical importance because disparities in health behaviors, unlike disparities in many other components of health, involve something more than the ability to use income to purchase good health. Based on a review of broad literatures in sociology, economics, and public health, we classify explanations of higher smoking, lower exercise, poorer diet, and excess weight among low-SES persons into nine broad groups that specify related but conceptually distinct mechanisms. The lack of clear support for any one explanation suggests that the literature on SES disparities in health and health behaviors can do more to design studies that better test for the importance of the varied mechanisms.