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Background Recent years have seen increased interest in the role of neighborhood factors in chronic diseases such as cancers. Less is known about the role of neighborhood factors beyond individual demographics such as age or education. It is particularly important to examine neighborhood effects on health among African American men and women, considering the disproportionate impact of cancer on this group. This study evaluated the unique contribution of neighborhood characteristics (e.g., racial/ethnic diversity, income) beyond individual demographics, to cancer control behaviors in African American men and women. Methods Individual-level data were drawn from a national survey (N = 2,222). Participants’ home addresses were geocoded and merged with neighborhood data from the American Community Survey. Multi-level regressions examined the unique contribution of neighborhood characteristics beyond individual demographics, to a variety of cancer risk, prevention, and screening behaviors. Results Neighborhood racial/ethnic diversity, median income, and percentage of home ownership made modest significant contributions beyond individual factors, in particular to smoking status where these factors were associated with lower likelihood of smoking (ps < .05). Men living in neighborhoods with older residents, and greater income and home ownership were significantly more likely to report prostate specific antigen testing (ps < .05). Regional analyses suggested different neighborhood factors were associated with smoking status depending on the region. Conclusion Findings provide a more nuanced understanding of the interplay of social determinants of health and neighborhood social environment among African American men and women, with implications for cancer control interventions to eliminate cancer disparities.

Climate Change and Impaired Population Health – Perspectives From Countries on Opposite Ends of the Economic Spectrum

Objective: This study aimed to examine the explanatory role of health behaviors, socioeconomic position (SEP), and psychosocial stressors on racial/ethnic obesity disparities in a multiethnic and multiracial sample of adults. Methods: Using data from the Chicago Community Adult Health Study (2001-2003), Oaxaca-Blinder decomposition analysis was conducted to quantify the extent to which health behaviors (fruit and vegetable consumption and physical activity), SEP, and cumulative stressors (e.g., perceived discrimination, financial strain) each explained differences in obesity prevalence in Black, US-born Hispanic, and non-US-born Hispanic compared with non-Hispanic White participants. Results: SEP and health behaviors did not explain obesity differences between racial/ethnic minorities and White individuals. Having high levels of stress in four or more domains explained 4.46% of the differences between Black and White individuals, whereas having high levels of stress in three domains significantly explained 14.13% of differences between US-born Hispanic and White. Together, the predictors explained less than 20% of differences between any racial/ethnic minority group and White individuals. Conclusions: Exposure to stressors may play a role in obesity disparities, particularly among Black and US-born Hispanic individuals. Other obesity-related risk factors need to be examined to understand the underlying mechanisms explaining obesity disparities.

Objective Exposure to early adversity carries long term harmful consequences for children's health and development. This study aims to 1) estimate the prevalence of childhood adversity for Australian children from infancy to 10-11 years, and 2) document inequalities in the distribution of adversity according to socioeconomic position (SEP), Indigenous status, and ethnicity. Methods Adversity was assessed every two years from 0-1 to 10-11 years in the nationally representative birth cohort of the Longitudinal Study of Australian Children (N=5,107). Adversity included legal problems; family violence; household mental illness; household substance abuse; harsh parenting; parental separation/divorce; unsafe neighborhood; family member death; and bullying (from 4-5 years). Adversities were examined individually and summed for a measure of multiple adversity (2+ adverse experiences). Results By 10-11 years, 52.8% (95% CI 51.0-54.7) of children had been exposed to two or more adversities. When combined with low SEP, children from ethnic minority and from Indigenous backgrounds had four to eight times the odds of exposure to two or more adversities than children from higher SEP Anglo-Euro backgrounds, respectively (OR 4.3, 95% CI 2.8-6.6 and OR 8.1, 95% CI 4.4-14.8). Ethnic minority and Indigenous children from higher SEP backgrounds had increased odds of exposure to multiple adversity than similarly advantaged Anglo-Euro children (OR 1.8, 95% CI 1.4-2.3 and OR 2.3, 95% CI 1.3-4.3, respectively). Conclusions Addressing early adversity is a significant opportunity to promote health over the life course, and reduce health inequalities experienced by marginalized groups of children.

Objective: Cardiometabolic disease is the leading cause of mortality in the United States. Cardiometabolic function during adolescence predicts future cardiometabolic disease, yet few studies have examined early determinants of cardiometabolic function. Informed by evidence of sex differences in the prevalence and severity of cardiometabolic disorders and evidence of sexual dimorphism in the stress response, we examined sex differences in the association between living in poverty and cardiometabolic function during adolescence, a precursor of later cardiometabolic disorders. Methods: We linked data from 10 415 adolescents aged 12-19 in the National Health and Nutrition Examination Survey (1999-2012) with US Census–tract data on area-level poverty (percentage of the population living in poverty, grouped into quartiles). We parameterized cardiometabolic dysfunction by summing the z scores of 6 cardiometabolic biomarkers, grouped into quintiles. Hierarchical ordinal models estimated associations. Results: Compared with residents in low-poverty areas, residents in high-poverty areas had elevated odds of cardiometabolic dysfunction (highest quartile of poverty odds ratio [OR] = 1.27; 95% confidence interval [CI], 1.08-1.50). This association was more pronounced among boys than girls (highest quartile of poverty for boys: OR = 1.36; 95% CI, 1.10-1.70; highest quartile of poverty for girls: OR = 1.17; 95% CI, 0.94-1.47). Conclusion: Our study supports the existence of sex-specific associations. These results highlight the potential for community-based programs, such as housing assistance, to improve population health.

The past several decades have witnessed growing geographic disparities in life expectancy within the United States, yet the mortality experience of U.S. cities has received little attention. We examine changes in men’s life expectancy at birth for the 25 largest U.S. cities from 1990 to 2015, using mortality data with city of residence identifiers. We reveal remarkable increases in life expectancy for several U.S. cities. Men’s life expectancy increased by 13.7 years in San Francisco and Washington, DC, and by 11.8 years in New York between 1990 and 2015, during which overall U.S. life expectancy increased by just 4.8 years. A significant fraction of gains in the top-performing cities relative to the U.S. average is explained by reductions in HIV/AIDS and homicide during the 1990s and 2000s. Although black men tended to see larger life expectancy gains than white men in most cities, changes in socioeconomic and racial population composition also contributed to these trends.

Men's life expectancy has seen "remarkable increase" for several U.S. cities

They are one of the four research groups chosen for the data contract

Access to new dataset opens up research opportunities

Sexual and gender minority (SGM) youth are more likely to use alcohol than their heterosexual cisgender peers. At the same time, SGM youth experience sexuality- and gender identity-specific stressors known to exacerbate negative health outcomes. Though scholars have established a link between minority stressors (e.g., internalized stigma and victimization) and increased alcohol use for SGM youth as a whole, there is little indication of whether internalized stigma and victimization are more strongly associated with alcohol use for specific groups of SGM youth. A United States sample of 11,811 racially and geographically diverse 13–17 year old SGM youth was used to employ a series of gender-stratified multivariable regression models to examine the association among internalized stigma, victimization, and alcohol-related behaviors, and whether they differed for specific groups of sexual minority youth. Sexual orientation moderated several associations between sexual minority stressors (i.e., victimization and stigma) and youth’s alcohol use (i.e., recent use and heavy episodic drinking) across models stratified by gender (i.e., male, female, and non-binary). For example, bisexual boys had stronger associations between SGM-specific victimization and alcohol use frequency and heavy episodic drinking relative to gay boys; conversely, victimization and alcohol use frequency were more weakly associated among bisexual girls relative to lesbian/gay girls. Pansexual girls showed weaker associations between internalized stigma and alcohol use frequency compared to lesbian/gay girls. This paper demonstrates who among SGM youth are more likely to engage in alcohol-related behaviors as a function of differential forms of SGM-related victimization and stigma. These findings can inform substance use interventions that are tailored to youth of diverse sexual orientations and gender identities.