Change in Neighborhood Socioeconomic Status and Adherence to the Cancer Prevention Lifestyle Guidelines in Hispanic/Latino Adults: Results from the HCHS/SOL Study.

Neighborhood conditions are dynamic; the association of changing neighborhood socioeconomic factors with cancer preventive behaviors remains unclear. We examined associations of neighborhood socioeconomic deprivation, gentrification, and change in income inequality with adherence to the American Cancer Society Guidelines on Nutrition and Physical Activity for Cancer Prevention in The Hispanic Community Health Study/Study of Latinos (HCHS/SOL). The HCHS/SOL enrolled 16,415 adults, ages 18­74 years, at baseline (2008­2011), from communities in the Bronx, NY, Chicago, IL, Miami, FL, and San Diego, CA. Geocoded baseline addresses were linked to the 2000 decennial Census and 5-year American Community Survey (2005­2009 and 2012­2016) tracts to operationalize neighborhood deprivation index (NDI), gentrification, and income inequality. Complex survey multinominal logistic regression models estimated the relative risk ratio (RRR) with overall guideline adherence level (low, moderate, high) and by components­diet, physical activity, body mass index (BMI), and alcohol intake. Overall, 14%, 60%, and 26% of the population had low, moderate, and high ACS guideline adherence, respectively. NDI was negatively associated with risk of high (vs. low) guideline adherence [RRR = 0.87, 95% confidence interval (CI) = 0.78­0.98], although attenuated after controlling for individual socioeconomic status (SES; RRR = 0.89, 95% CI = 0.80­1.00), and associated with lower adherence to BMI recommendations (low vs. moderate RRR = 0.90, 95% CI = 0.84­0.97; high RRR = 0.86, 95% CI = 0.77­0.97). Gentrification was associated with higher likelihood of meeting the dietary recommendations (low vs. moderate RRR = 1.04, 95% CI = 1.01­1.07), but not with overall adherence or individual components. Change in income inequality was not associated with outcomes. Neighborhood deprivation may be negatively associated with ACS guideline adherence among Hispanic/Latino adults. SIGNIFICANCE: This study provides new evidence on the link between neighborhood gentrification, changing income inequality and adoption and maintenance of cancer preventive behaviors in an understudied population in cancer research. We observed that while neighborhood deprivation may deter from healthy lifestyle behaviors, positive changes in neighborhood SES via the process of gentrification, may not influence lifestyle guideline adherence among Hispanic/Latino adults.

The Creation of a Multidomain Neighborhood Environmental Vulnerability Index Across New York City.

Compared to previous studies commonly using a single summary score, we aimed to construct a multidomain neighborhood environmental vulnerability index (NEVI) to characterize the magnitude and variability of area-level factors with the potential to modify the association between environmental pollutants and health effects. Using the Toxicological Prioritization Index framework and data from the 2015-2019 U.S. Census American Community Survey and the 2020 CDC PLACES Project, we quantified census tract-level vulnerability overall and in 4 primary domains (demographic, economic, residential, and health status), 24 subdomains, and 54 distinct area-level features for New York City (NYC). Overall and domain-specific indices were calculated by summing standardized feature values within the subdomains and then aggregating and weighting based on the number of features within each subdomain within equally-weighted primary domains. In citywide comparisons, NEVI was correlated with multiple existing indices, including the Neighborhood Deprivation Index (r = 0.91) and Social Vulnerability Index (r = 0.87) but provided additional information on features contributing to vulnerability. Vulnerability varied spatially across NYC, and hierarchical cluster analysis using subdomain scores revealed six patterns of vulnerability across domains: 1) low in all, 2) primarily low except residential, 3) medium in all, 4) high demographic, economic, and residential 5) high economic, residential, and health status, and 6) high demographic, economic and health status. Created using methods that offer flexibility for theory-based construction, NEVI provided detailed vulnerability metrics across domains that can inform targeted research and public health interventions aimed at reducing the health impacts from environmental exposures across urban centers.

Neighborhood environmental vulnerability and pediatric asthma morbidity in US metropolitan areas.

BACKGROUND: Research suggests demographic, economic, residential, and health-related factors influence vulnerability to environmental exposures. Greater environmental vulnerability may exacerbate environmentally related health outcomes. We developed a neighborhood environmental vulnerability index (NEVI) to operationalize environmental vulnerability on a neighborhood level. OBJECTIVE: We explored the relationship between NEVI and pediatric asthma emergency department (ED) visits (2014-19) in 3 US metropolitan areas: Los Angeles County, Calif; Fulton County, Ga; and New York City, NY. METHODS: We performed separate linear regression analyses examining the association between overall NEVI score and domain-specific NEVI scores (demographic, economic, residential, health status) with pediatric asthma ED visits (per 10,000) across each area. RESULTS: Linear regression analyses suggest that higher overall and domain-specific NEVI scores were associated with higher annual pediatric asthma ED visits. Adjusted R2 values suggest that overall NEVI scores explained at least 40% of the variance in pediatric asthma ED visits. Overall NEVI scores explained more of the variance in pediatric asthma ED visits in Fulton County. NEVI scores for the demographic, economic, and health status domains explained more of the variance in pediatric asthma ED visits in each area compared to the NEVI score for the residential domain. CONCLUSION: Greater neighborhood environmental vulnerability was associated with greater pediatric asthma ED visits in each area. The relationship differed in effect size and variance explained across the areas. Future studies can use NEVI to identify populations in need of greater resources to mitigate the severity of environmentally related outcomes, such as pediatric asthma.

Perceived neighborhood factors, health behaviors, and related outcomes in the Hispanic Community Health Study/Study of Latinos.

Hispanic/Latino populations may experience significant neighborhood disadvantage, but limited research has explored whether these factors affect their health behaviors. Associations between perceived neighborhood factors at Visit 1 and health behaviors and related outcomes at Visit 2 in the Hispanic Community Health Study/Study of Latinos were evaluated. Multivariable logistic regression assessed cross-sectional and longitudinal relationships between perceived neighborhood social cohesion (NSC, 5 items), and neighborhood problems (NP, 7 items), with cancer screening, current smoking, excessive/binge drinking, hypertension, obesity, physical activity, and poor diet by gender and birthplace. NSC and NP scores were converted into quartiles. Mean age of participants was 42.5 years and 62.1% were women. Perceived NP, but not perceived NSC, differed by gender (p < 0.001). In unstratified models, no significant associations were observed between perceived NSC and any health behavior, whereas greater perceived NP was associated with less adherence to colon cancer screening (moderate level: aOR = 0.68, 95% CI = 0.51, 090) and more physical activity (very high level: aOR = 1.34, 95% CI = 1.06, 1.69) compared to low perceived NP. Women with moderate perceived NP, versus low NP, had a lower odds of colon cancer screening at Visit 1 (aOR = 0.62, 95% CI = 0.43, 0.91) and higher odds of mammogram adherence at Visit 2 (aOR = 2.86, 95% CI = 1.44, 5.68). Men with high perceived NP had a higher odds of excessive or binge drinking at Visit 2 (aOR = 1.99, 95% CI = 1.19, 3.31). We conclude that perceived NP were significantly related to health behaviors among HCHS/SOL individuals. Perceptions of neighborhood environment may be considered modifiable factors of structural neighborhood environment interventions.

Assessing the Health and Economic Impact of a Potential Menthol Cigarette Ban in New York City: a Modeling Study.

Menthol in cigarettes increases nicotine dependence and decreases the chances of successful smoking cessation. In New York City (NYC), nearly half of current smokers usually smoke menthol cigarettes. Female and non-Latino Black individuals were more likely to smoke menthol-flavored cigarettes compared to males and other races and ethnicities. Although the US Food and Drug Administration recently announced that it will ban menthol cigarettes, it is unclear how the policy would affect population health and health disparities in NYC. To inform potential policymaking, we used a microsimulation model of cardiovascular disease (CVD) to project the long-term health and economic impact of a potential menthol ban in NYC. Our model projected that there could be 57,232 (95% CI: 51,967-62,497) myocardial infarction (MI) cases and 52,195 (95% CI: 47,446-56,945) stroke cases per 1 million adult smokers in NYC over a 20-year period without the menthol ban policy. With the menthol ban policy, 2,862 MI cases and 1,983 stroke cases per 1 million adults could be averted over a 20-year period. The model also projected that an average of $1,836 in healthcare costs per person, or $1.62 billion among all adult smokers, could be saved over a 20-year period due to the implementation of a menthol ban policy. Results from subgroup analyses showed that women, particularly Black women, would have more reductions in adverse CVD outcomes from the potential implementation of the menthol ban policy compared to males and other racial and ethnic subgroups, which implies that the policy could reduce sex and racial and ethnic CVD disparities. Findings from our study provide policymakers with evidence to support policies that limit access to menthol cigarettes and potentially address racial and ethnic disparities in smoking-related disease burden.

The association between social needs and chronic conditions in a large, urban primary care population.

There is consensus that social needs influence health outcomes, but less is known about the relationships between certain needs and chronic health conditions in large, diverse populations. This study sought to understand the association between social needs and specific chronic conditions using social needs screening and clinical data from Electronic Health Records. Between April 2018-December 2019, 33,550 adult (≥18y) patients completed a 10-item social needs screener during primary care visits in Bronx and Westchester counties, NY. Generalized linear models were used to estimate prevalence ratios for eight outcomes by number and type of needs with analyses completed in Summer 2020. There was a positive, cumulative association between social needs and each of the outcomes. The relationship was strongest for elevated PHQ-2, depression, alcohol/drug use disorder, and smoking. Those with ≥3 social needs were 3.90 times more likely to have an elevated PHQ-2 than those without needs (95% CI: 3.66, 4.16). Challenges with healthcare transportation was associated with each condition and was the most strongly associated need with half of conditions in the fully-adjusted models. For example, those with transportation needs were 84% more likely to have an alcohol/drug use disorder diagnosis (95% CI: 1.59, 2.13) and 41% more likely to smoke (95% CI: 1.25, 1.58). Specific social needs may influence clinical issues in distinct ways. These findings suggest that health systems need to develop strategies that address unmet social need in order to optimize health outcomes, particularly in communities with a dual burden of poverty and chronic disease.

Volunteerism and Cardiovascular Health: The HCHS/SOL Sociocultural Ancillary Study.

OBJECTIVES: The objective of this study was to examine the association between volunteerism and favorable cardiovascular health (CVH) among Hispanics/Latinos living in the US. METHODS: Data from the Hispanic Community Health Study/Study of Latinos (2008-2011) Sociocultural Ancillary Study were used (N = 4,926; ages 18-74 years). Favorable CVH was defined as positive profiles of all major CVD risk factors: low total serum cholesterol, blood pressure, and body mass index; not having diabetes; and not smoking. Survey-weighted logistic regression models were adjusted for sociodemographic, lifestyle, and psychological factors. In secondary analyses, we tested whether the volunteerism-CVH association was modified by sex, age, or years lived in the US (<10 vs. ≥10 years; a proxy acculturation measure). RESULTS: Prevalence of volunteerism was 14.5%. Compared to non-volunteers, volunteers had 1.67 higher odds of favorable CVH in the fully-adjusted model (Odds Ratio [OR] = 1.67, 95% Confidence Interval [CI] = 1.11, 2.52). There was evidence of effect modification by acculturation; only volunteers who had lived in the US ≥10 years had 2.41 higher odds of favorable CVH (OR = 2.41, 95% CI=1.53, 3.80). There was no evidence of effect modification by sex or age. CONCLUSIONS: Volunteerism was associated with favorable CVH among US Hispanics/Latinos.

Brief Report: Characterizing the Burden of Cardiometabolic Disease among Public Housing Residents Served by an Urban Hospital System.

Objective: Housing status is a primary social determinant of health that is not typically not collected in clinical settings. Residential address data collected during clinical visits can identify patients at high-risk for cardiometabolic disease (CMD) residing in public housing. Design: This study examined CMD and related risk factors among patients living in public housing and a comparison group not living in public housing. Setting: All patients (n=173,568) were receiving primary care in a large hospital system in the Bronx, New York between January 1, 2016 and December 31, 2017. Results: Patients in public housing were more likely to be women, to be Black or Hispanic, and to be on Medicaid compared with patients not living in public housing. Women in public housing were more likely than men to have had a higher prevalence of CMD and related risk factors. Conclusion: The burden of CMD among public housing residents shows sex disparities where women have a higher prevalence of CMD and related risk factors than men.

Relationship between area mortgage foreclosures, homeownership, and cardiovascular disease risk factors: The Hispanic Community Health Study/Study of Latinos.

BACKGROUND: The risk of mortgage foreclosure disproportionately burdens Hispanic/Latino populations perpetuating racial disparities in health. In this study, we examined the relationship between area-level mortgage foreclosure risk, homeownership, and the prevalence of cardiovascular disease risk factors among participants of the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). METHODS: HCHS/SOL participants were age 18-74 years when recruited from four U.S. metropolitan areas. Mortgage foreclosure risk was obtained from the U.S. Department of Housing and Urban Development. Homeownership, sociodemographic factors, and cardiovascular disease risk factors were measured at baseline interview between 2008 and 2011. There were 13,856 individuals contributing to the analysis (median age 39 years old, 53% female). RESULTS: Renters in high foreclosure risk areas had a higher prevalence of hypertension and hypercholesterolemia but no association with smoking status compared to renters in low foreclosure risk areas. Renters were more likely to smoke cigarettes than homeowners. CONCLUSION: Among US Hispanic/Latinos in urban cities, area foreclosure and homeownership have implications for risk of cardiovascular disease.

Combining clinical and population-level data to understand the health of neighborhoods.

From February through December 2012, we examined responses to health behavior questions integrated into the electronic medical record of primary care centers in the Bronx, New York in the context of New York City Community Health Survey data. We saw a higher proportion of unhealthy behaviors among patients than among the neighborhood population. Analyzing clinical data in the neighborhood context can better target at-risk populations.

Social and behavioral risk factors for obesity in early childhood.

OBJECTIVE: Although multiple social and behavioral risk factors associated with obesity co-occur among young children, most studies have examined them separately. The purpose of this study was to examine the relationship between social risk factors, behavioral problems, health behaviors, and obesity among preschoolers in the Fragile Families and Child Wellbeing Study (N = 1589). METHODS: A cumulative social risk score was created by summing maternal reports of intimate partner violence, food insecurity, housing insecurity, maternal depressive symptoms, maternal substance use, and father's incarceration, obtained when the child was 3 years old. Mothers reported on the child's internalizing and externalizing behaviors with the Child Behavior Checklist at age 5 years. Mothers also reported on hours the child spent watching television and sleeping as well as servings of soda or juice drinks the child consumed per day. Child height and weight were measured at age 5 years. Obesity was defined as body mass index ≥ 95th percentile. RESULTS: In regression analyses adjusted for health behaviors, behavioral problems, and sociodemographic factors, cumulative social risk was associated with obesity among girls. Externalizing behavioral problems were associated with obesity among girls (prevalence ratios [PRs], 1.5; 95% confidence interval [CI], 1.2-1.7) and boys (PR, 1.3; 95% CI, 1.1-1.6). Short sleep duration was also associated with obesity among girls (PR, 1.2; 95% CI, 1.0-1.4) and boys (PR, 1.3; 95% CI, 1.1-1.5) even after adjusting for behavioral problems and social risk factors. Watching more than 2 hours of television per day was associated with obesity among boys (PR 1.5; 95% CI, 1.2 to 1.9) but not girls. CONCLUSION: Co-occurring social and behavioral risk factors are associated with obesity among 5-year-old children.

Asthma and obesity in three-year-old urban children: role of sex and home environment.

OBJECTIVE: To examine whether the relationship between obesity and asthma in young girls and boys can be explained by social and physical characteristics of the home environment. STUDY DESIGN: We examined the relationship between asthma and obesity in children in the Fragile Families and Child Wellbeing Study (n=1815). Asthma was determined through maternal report of asthma diagnosis by a doctor (active in past 12 months). Weight and height of child was measured during an in-home visit. Data on home social (maternal depression, intimate partner violence) and physical environmental factors (housing quality, tobacco exposure) were collected via questionnaire. RESULTS: Ten percent of children had active asthma, 19% of children were overweight, and 17% of children were obese. In fully adjusted models, obese children had twice the odds of having asthma (OR, 2.3; 95% CI, 1.5-3.3) compared with children of normal body weight. In stratified analyses, overweight boys, but not overweight girls, had increased of odds of asthma. Obese boys and girls had increased odds of asthma compared with boys and girls of normal body weight. CONCLUSION: The relationship between asthma and obesity is present in boys and girls as young as 3 years of age; a relationship between being overweight and asthma is only present among boys. This relationship is not attributable to shared social and environmental factors of the children's home.

Serum iron and body fat distribution in a multiethnic cohort of adults living in New York City.

OBJECTIVE: To examine the relationship between serum iron and body composition in a multiracial adult cohort. METHODS: The analysis consisted of 670 participants on whom blood analysis and anthropometric data were available. The participants were recruited as part of the Rosetta Study (1990-2000), which was designed to assess body composition in a multiethnic cohort of healthy adults. Fasting iron level was measured as part of a biochemistry panel. Dual x-ray absorptiometry was used to assess fat mass. Anthropometric measures included waist circumference and body mass index (BMI; calculated as kg/m(2)) as an index of abdominal adiposity and overall body fatness, respectively. RESULTS: In the study cohort the mean age was 54+/-17 years and 60.9% were overweight or obese (BMI > or =25). Men had higher serum iron levels (94.91+/-34.52 microg/dL [16.99+/-6.18 micromol/L] vs 82.17+/-32.62 microg/dL [14.71+/-5.84 micromol/L]) and larger waist circumference (91.98+/-11.87 cm vs 85.24+/-12.37 cm) compared with women (P<0.001). Iron was inversely correlated with BMI (r=-0.23, P<0.001), waist circumference (r=-0.19, P<0.05), and fat mass (r=-0.19, P<0.05) among Hispanic women but not among African-American, white, or Asian women or in men of any race/ethnic group. CONCLUSIONS: The results of this study show an inverse association of measures of body fat distribution and total fat mass with serum iron level in Hispanic women. Studies designed to explore how micronutrients are used by the body at varying degrees of body fatness could provide useful information on the micronutrient-related comorbidities of obesity.

Acculturation and psychosocial stress show differential relationships to insulin resistance (HOMA) and body fat distribution in two groups of blacks living in the US Virgin Islands.

The objective of this study was to determine whether acculturation and psychosocial stress exert differential effects on body fat distribution and insulin resistance among native-born African Americans and African-Caribbean immigrants living in the US Virgin Islands (USVI). Data collected from a non-diabetic sample of 183 USVI-born African Americans and 296 African-Caribbean immigrants age > 20 on the island of St. Croix, USVI were studied. Information on demographic characteristics, acculturation and psychosocial stress was collected by questionnaire. Anthropometric measurements were taken, and serum glucose and insulin were measured from fasting blood samples. Insulin resistance was estimated by the homeostasis model assessment (HOMA) method. The results showed that in multivariate regression analyses, controlling for age, education, gender, BMI, waist circumference, family history of diabetes, smoking and alcohol consumption, acculturation was independently related to logarithm of HOMA (InHOMA) scores among USVI-born African Americans, but not among African-Caribbean immigrants. In contrast, among USVI-born African Americans psychosocial stress was not significantly related to InHOMA, while among African-Caribbean immigrants psychosocial stress was independently related to InHOMA in models that included BMI, but not in those which included waist circumference. This study suggests that acculturation and psychosocial stress may have a differential effect on body fat distribution and insulin resistance among native-born and immigrant blacks living in the US Virgin Islands.