Associations of Historical Redlining With BMI and Waist Circumference in Coronary Artery Risk Development in Young Adults.

Introduction: Historical maps of racialized evaluation of mortgage lending risk (i.e., redlined neighborhoods) have been linked to adverse health outcomes. Little research has examined whether living in historically redlined neighborhoods is associated with obesity, differentially by race or gender. Methods: This is a cross-sectional study to examine whether living in historically redlined neighborhoods is associated with BMI and waist circumference among Black and White adults in 1985-1986. Participants' addresses were linked to the 1930s Home Owners' Loan Corporation maps that evaluated mortgage lending risk across neighborhoods. The authors used multilevel linear regression models clustered on Census tract, adjusted for confounders to estimate main effects, and stratified, and interaction models by (1) race, (2) gender, and (3) race by gender with redlining differentially for Black versus White adults and men versus women. To better understand strata differences, they compared Census tract-level median household income across race and gender groups within Home Owners' Loan Corporation grade. Results: Black adults (n=2,103) were more likely than White adults (n=1,767) to live in historically rated hazardous areas and to have higher BMI and waist circumference. Redlining and race and redlining and gender interactions for BMI and waist circumference were statistically significant (p<0.10). However, in stratified analyses, the only statistically significant associations were among White participants. White participants living in historically rated hazardous areas had lower BMI (ß=-0.63 [95% CI= -1.11, -0.15]) and lower waist circumference (ß=-1.50 [95% CI= -2.62, -0.38]) than those living in declining areas. Within each Home Owners' Loan Corporation grade, residents in White participants' neighborhoods had higher incomes than those living in Black participants' neighborhoods (p<0.0001). The difference was largest within historically redlined areas. Covariate associations differed for men, women, Black, and White adults, explaining the difference between the interaction and the stratified models. Race by redlining interaction did not vary by gender. Conclusions: White adults may have benefitted from historical redlining, which may have reinforced neighborhood processes that generated racial inequality in BMI and waist circumference 50 years later.

Inequalities in urban greenness and epigenetic aging: Different associations by race and neighborhood socioeconomic status.

Slower epigenetic aging is associated with exposure to green space (greenness); however, the longitudinal relationship has not been well studied, particularly in minority groups. We investigated the association between 20-year exposure to greenness [Normalized Difference Vegetation Index (NDVI)] and epigenetic aging in a large, biracial (Black/white), U.S. urban cohort. Using generalized estimating equations adjusted for individual and neighborhood socioeconomic characteristics, greater greenness was associated with slower epigenetic aging. Black participants had less surrounding greenness and an attenuated association between greenness and epigenetic aging [ßNDVI5km: -0.80, 95% confidence interval (CI): -4.75, 3.13 versus ßNDVI5km: -3.03, 95% CI: -5.63, -0.43 in white participants]. Participants in disadvantaged neighborhoods showed a stronger association between greenness and epigenetic aging (ßNDVI5km: -3.36, 95% CI: -6.65, -0.08 versus ßNDVI5km: -1.57, 95% CI: -4.12, 0.96 in less disadvantaged). In conclusion, we found a relationship between greenness and slower epigenetic aging, and different associations by social determinants of health such as race and neighborhood socioeconomic status.

Contribution of social, behavioral, and contextual exposures to Black-White disparities in incident obesity: The CARDIA study.

OBJECTIVE: The aim of this study was to quantify the contributions of socioeconomic, psychosocial, behavioral, reproductive, and neighborhood exposures in young adulthood to Black-White differences in incident obesity. METHODS: In the Coronary Artery Risk Development in Young Adults (CARDIA) study, 4488 Black or White adults aged 18 to 30 years without obesity at baseline (1985-1986) were followed over 30 years. Sex-specific Cox proportional hazard models were used to estimate Black-White differences in incident obesity. Models were adjusted for baseline and time-updated indicators. RESULTS: During follow-up, 1777 participants developed obesity. Black women were 1.87 (95% CI: 1.63-2.13) times more likely and Black men were 1.53 (95% CI: 1.32-1.77) times more likely to develop obesity than their White counterparts after adjusting for age, field center, and baseline BMI. Baseline exposures explained 43% of this difference in women and 52% in men. Time-updated exposures explained more of the racial difference in women but less for men, compared with baseline exposures. CONCLUSIONS: Adjusting for these exposures accounted for a substantial but incomplete proportion of racial disparities in incident obesity. Remaining differences may be explained by incomplete capture of the most salient aspects of these exposures or potential variation in the impact of these exposures on obesity by race.

Impact of paternal education on epigenetic ageing in adolescence and mid-adulthood: a multi-cohort study in the USA and Mexico.

BACKGROUND: Both parental and neighbourhood socio-economic status (SES) are linked to poorer health independently of personal SES measures, but the biological mechanisms are unclear. Our objective was to examine these influences via epigenetic age acceleration (EAA)-the discrepancy between chronological and epigenetic ages. METHODS: We examined three USA-based [Coronary Artery Risk Disease in Adults (CARDIA) study, Fragile Families and Child Wellbeing Study (FFCWS) and Programming Research in Obesity, Growth, Environment and Social Stressors (PROGRESS)] and one Mexico-based (Project Viva) cohort. DNA methylation was measured using Illumina arrays, personal/parental SES by questionnaire and neighbourhood disadvantage from geocoded address. In CARDIA, we examined the most strongly associated personal, parental and neighbourhood SES measures with EAA (Hannum's method) at study years 15 and 20 separately and combined using a generalized estimating equation (GEE) and compared with other EAA measures (Horvath's EAA, PhenoAge and GrimAge calculators, and DunedinPoAm). RESULTS: EAA was associated with paternal education in CARDIA [GEEs: ßsome college = -1.01 years (-1.91, -0.11) and ß

Demographic and sociocultural risk factors for adulthood weight gain in Hispanic/Latinos: results from the Hispanic Community Health Study / Study of Latinos (HCHS/SOL).

BACKGROUND: United States (US) Hispanic/Latinos experience a disproportionate burden of obesity, which may in part be related to demographic or sociocultural factors, including acculturation to an US diet or inactive lifestyle. Therefore, we sought to describe the association between adulthood weight histories and demographic and sociocultural factors in a large diverse community-based cohort of US Hispanic/Latinos. METHODS: We estimated the effect of several factors on weight gain across adulthood, using multivariable linear mixed models to leverage 38,759 self-reported current body weights and weight histories recalled for 21, 45 and 65 years of age, from 15,203 adults at least 21 years of age at the baseline visit of the Hispanic Community Health Study/Study of Latinos (2008-2011). RESULTS: The average rate of weight gain was nearly 10 kg per decade in early adulthood, but slowed to < 5 kg a decade among individuals 60+ years of age. Birth cohort, gender, nativity or age at immigration, Hispanic/Latino background, and study site each significantly modified the form of the predicted adulthood weight trajectory. Among immigrants, weight gain during the 5 years post-migration was on average 0.88 kg (95% CI: 0.04, 1.72) greater than the weight gain during the 5 years prior. The rate of weight gain appeared to slow after 15 years post-migration. CONCLUSIONS: Using self-reported and weight history data in a diverse sample of US Hispanic/Latinos, we revealed that both demographic and sociocultural factors were associated with the patterning of adulthood weight gain in this sample. Given the steep rate of weight gain in this population and the fact that many Hispanic/Latinos living in the US immigrated as adults, efforts to promote weight maintenance across the life course, including after immigration, should be a top priority for promoting Hispanic/Latino health and addressing US health disparities more broadly.

Circulating Short-Chain Fatty Acids Are Positively Associated with Adiposity Measures in Chinese Adults.

Epidemiological studies suggest a positive association between obesity and fecal short-chain fatty acids (SCFAs) produced by microbial fermentation of dietary carbohydrates, while animal models suggest increased energy harvest through colonic SCFA production in obesity. However, there is a lack of human population-based studies with dietary intake data, plasma SCFAs, gut microbial, and anthropometric data. In 490 Chinese adults aged 30-68 years, we examined the associations between key plasma SCFAs (butyrate/isobutyrate, isovalerate, and valerate measured by non-targeted plasma metabolomics) with body mass index (BMI) using multivariable-adjusted linear regression. We then assessed whether overweight (BMI ≥ 24 kg/m2) modified the association between dietary-precursors of SCFAs (insoluble fiber, total carbohydrates, and high-fiber foods) with plasma SCFAs. In a sub-sample (n = 209) with gut metagenome data, we examined the association between gut microbial SCFA-producers with BMI. We found positive associations between butyrate/isobutyrate and BMI (p-value < 0.05). The associations between insoluble fiber and butyrate/isobutyrate differed by overweight (p-value < 0.10). There was no statistical evidence for an association between microbial SCFA-producers and BMI. In sum, plasma SCFAs were positively associated with BMI and that the colonic fermentation of fiber may differ for adults with versus without overweight.

Education, Race/Ethnicity, and Causes of Premature Mortality Among Middle-Aged Adults in 4 US Urban Communities: Results From CARDIA, 1985-2017.

Objectives. To assess causes of premature death and whether race/ethnicity or education is more strongly and independently associated with premature mortality in a diverse sample of middle-aged adults in the United States.Methods. The Coronary Artery Risk Development in Young Adults study (CARDIA) is a longitudinal cohort study of 5114 participants recruited in 1985 to 1986 and followed for up to 29 years, with rigorous ascertainment of all deaths; recruitment was balanced regarding sex, Black and White race/ethnicity, education level (high school or less vs. greater than high school), and age group (18-24 and 25-30 years). This analysis included all 349 deaths that had been fully reviewed through month 348. Our primary outcome was years of potential life lost (YPLL).Results. The age-adjusted mortality rate per 1000 persons was 45.17 among Black men, 25.20 among White men, 17.63 among Black women, and 10.10 among White women. Homicide and AIDS were associated with the most YPLL, but cancer and cardiovascular disease were the most common causes of death. In multivariable models, each level of education achieved was associated with 1.37 fewer YPLL (P = .007); race/ethnicity was not independently associated with YPLL.Conclusions. Lower education level was an independent predictor of greater YPLL.

Perceived and objective characteristics of the neighborhood environment are associated with accelerometer-measured sedentary time and physical activity, the CARDIA Study.

We investigated cross-sectional and longitudinal associations of neighborhood environment characteristics with accelerometer-measured sedentary time (SED), light-intensity physical activity (LPA), and moderate-to-vigorous intensity physical activity (MVPA). Participants were 2120 men and women in the year 20 (2005-2006) and year 30 CARDIA exams (2015-2016). Year 20 neighborhood characteristics included neighborhood cohesion, resources for physical activity, poverty, and racial residential segregation. Physical activity was measured by accelerometer at years 20 and 30. Multivariable linear regression models examined associations of standardized neighborhood measures at year 20 with SED, LPA, and MVPA assessed that year, and with 10-year changes in SED, LPA, and MVPA. Cross-sectionally, a one standard deviation (SD) increase in cohesion was associated with 4.06 less SED min/day (95% CI: -7.98, -0.15), and 4.46 more LPA min/day (95% CI: 0.88, 8.03). Each one SD increase in resources was associated with 1.19 more MVPA min/day (95% CI: 0.06, 2.31). A one SD increase in poverty was associated with 11.18 less SED min/day (95% CI: -21.16, -1.18) and 10.60 more LPA min/day (95% CI: 1.79, 19.41) among black men. No neighborhood characteristic was associated with 10-year changes in physical activity in the full sample; however, a one SD increase in cohesion was associated with a 10-year decrease of 25.44 SED min/day (95% CI: -46.73, -4.14) and an increase of 19.0 LPA min/day (95% CI, 1.89, 36.10) in black men. Characteristics of the neighborhood environment are associated with accelerometer-measured physical activity. Differences were observed by race and sex, with more robust findings observed in black men.

Longitudinal Associations of Cigarette Prices With Smoking Cessation: The Coronary Artery Risk Development in Young Adults Study.

INTRODUCTION: Few studies have used longitudinal cohort data to examine associations of cigarette prices with smoking cessation or whether price sensitivity varies by income or education. This study examines these associations in a multicenter US cohort and explores whether associations vary by education and income. METHODS: Longitudinal data from baseline daily cigarette smokers aged 18-30 years in the Coronary Artery Risk Development in Young Adults study were linked to inflation-adjusted cigarette carton prices from the Council for Community and Economic Research Cost of Living Index based on residential address at baseline and in years 7, 10, and 15 (1985-2001). Multivariable Cox models estimated hazard ratios (HRs) of first (any) smoking cessation and sustained smoking cessation (no relapse) associated with each $1 increase in time-dependent cigarette price over 15 years of follow-up. Models were adjusted for sociodemographic, health-related, and policy covariates. We assessed effect modification by education and household income. RESULTS: Among 1489 participants, a $1.00 higher cigarette carton price was associated with a 16% higher likelihood of first smoking cessation (HR = 1.16, 95% CI = 1.11 to 1.21) and an 8% higher likelihood of sustained smoking cessation (HR = 1.08, 95% CI = 1.02 to 1.14). Associations were strongest among participants with lower income for first cessation, and among those with higher income for sustained cessation. Associations were strongest for participants with less than a high school degree for both outcomes. CONCLUSIONS: Results suggest higher cigarette prices promote smoking cessation among young to middle-aged adults, and that price sensitivity may differ by socioeconomic status. IMPLICATIONS: Few studies have examined longitudinal associations of cigarette prices with smoking cessation, and findings are mixed on whether price sensitivity varies by education or income. In a cohort of US adult daily smokers, cigarette prices were associated with greater likelihood of both a first cessation and sustained cessation. Price associations with first cessation were stronger among low-income smokers, but associations with sustained cessation were stronger among high-income smokers. Results suggest that although higher cigarette prices may promote short-term smoking cessation among smokers at all income levels, additional supports may be needed to facilitate sustained smoking cessation among low-income smokers.

Racial Disparities in Cardiovascular Health Behaviors: The Coronary Artery Risk Development in Young Adults Study.

INTRODUCTION: There are known racial differences in cardiovascular health behaviors, including smoking, physical activity, and diet quality. A better understanding of these differences may help identify intervention targets for reducing cardiovascular disease disparities. This study examined whether socioeconomic, psychosocial, and neighborhood environmental factors, in isolation or together, mediate racial differences in health behaviors. METHODS: Participants were 3,081 men and women from the Coronary Artery Risk Development in Young Adults study who were enrolled in 1985-1986 (Year 0) and completed a follow-up examination in 2015-2016 (Year 30). A health behavior score was created at Years 0, 7, 20, and 30 using smoking, physical activity, and diet assessed that year. The race difference in health behavior score was estimated using linear regression in serial cross-sectional analyses. Mediation analyses computed the proportion of the race and health behavior score association attributable to socioeconomic, psychosocial, and neighborhood factors. RESULTS: Data analysis conducted in 2016-2017 found that blacks had significantly lower health behavior scores than whites across 30 years of follow-up. Individual socioeconomic factors mediated 48.9%-70.1% of the association between race and health behavior score, psychosocial factors 20.3%-30.0%, and neighborhood factors 22.1%-41.4% (p<0.01 for all). CONCLUSIONS: Racial differences in health behavior scores appear to be mediated predominately by correspondingly large differences in socioeconomic factors. This study highlights the profound impact of socioeconomic factors, which are mostly not under an individual's control, on health behaviors. Policy action targeting socioeconomic factors may help reduce disparities in health behaviors.

Longitudinal Associations of Smoke-Free Policies and Incident Cardiovascular Disease: CARDIA Study.

BACKGROUND: Smoke-free legislation has been associated with lower rates of cardiovascular disease hospital admissions in ecological studies. However, prior studies lacked detailed information on individual-level factors (eg, sociodemographic and clinical characteristics) that could potentially confound associations. Our objective was to estimate associations of smoke-free policies with incident cardiovascular disease in a longitudinal cohort after controlling for sociodemographics, cardiovascular disease risk factors, and policy covariates. METHODS: Longitudinal data from 3783 black and white adults in the CARDIA study (Coronary Artery Risk Development in Young Adults; 1995-2015) were linked to state, county, and local 100% smoke-free policies in bars, restaurants, and nonhospitality workplaces by Census tract. Extended Cox regression estimated hazard ratios (HRs) of incident cardiovascular disease associated with time-dependent smoke-free policy exposures. Models were adjusted for sociodemographic characteristics, cardiovascular disease risk factors, state cigarette tax, participant-reported presence of a smoking ban at their workplace, field center, and metropolitan statistical area poverty. RESULTS: During a median follow-up of 20 years (68 332 total person-years), 172 participants had an incident cardiovascular disease event (2.5 per 1000 person-years). Over the follow-up period, 80% of participants lived in areas with smoke-free policies in restaurants, 67% in bars, and 65% in nonhospitality workplaces. In fully adjusted models, participants living in an area with a restaurant, bar, or workplace smoke-free policy had a lower risk of incident cardiovascular disease compared with those in areas without smoke-free policies (HR, 0.75, 95% confidence interval, 0.49-1.15; HR, 0.76, 95% confidence interval, 0.47-1.24; HR, 0.54, 95% confidence interval, 0.34-0.86, respectively; HR, 0.58, 95% confidence interval, 0.33-1.00 for living in an area with all 3 types of policies compared with none). The estimated preventive fraction was 25% for restaurant policies, 24% for bar policies, and 46% for workplace policies. CONCLUSIONS: Consistent with prior ecological studies, these individual-based data add to the evidence that 100% smoke-free policies are associated with lower risk of cardiovascular disease among middle-aged adults.

Secular change in the association between urbanisation and abdominal adiposity in China (1993-2011).

BACKGROUND: Little attention has been paid to how the association between urbanisation and abdominal adiposity changes over the course of economic development in low-income and middle-income countries. METHODS: Data came from the China Health and Nutrition Survey waves 1993-2011 (seven waves). A mixed linear model was used to investigate the association between community-level urbanisation with waist-to-height ratio (WHtR; an indicator of abdominal adiposity). We incorporated interaction terms between urbanisation and study waves to understand how the association changed over time. The analyses were stratified by age (children vs adults). RESULTS: Adult WHtR was positively associated with urbanisation in earlier waves but became inversely associated over time. More specifically, a 1 SD increase in the urbanisation index was associated with higher WHtR by 0.002 and 0.005 in waves 1993 and 1997, while it was associated with lower WHtR by 0.001 in 2011. Among child participants, the increase in WHtR over time was predominantly observed in more urbanised communities. CONCLUSION: Our study suggests a shift in adult abdominal adiposity from more urbanised communities to less urbanised communities over a time of rapid economic development in China. Children living in more urbanised communities had higher increase in abdominal obesity with urbanisation over time relative to children living in less urbanised communities.

Longitudinal Associations of Neighborhood-level Racial Residential Segregation with Obesity Among Blacks.

BACKGROUND: Despite 50 years since the passage of the Fair Housing Act of 1968, the majority of black Americans continue to live in highly segregated communities. Differing exposure to obesogenic environments in segregated neighborhoods may contribute to racial disparities in obesity prevalence. METHODS: We used prospective data from the Coronary Artery Risk Development in Young Adults (CARDIA) study to examine associations between levels of neighborhood-level racial residential segregation and incident obesity in black men and women. Obesity, determined by measured anthropometry, and residential segregation, measured using the local Gi*statistic, were recorded at baseline and follow-up at years 7, 10, 15, 20, and 25. We used marginal structural survival models to account for time-dependent confounding and for loss to follow-up. RESULTS: Black women living in highly segregated neighborhoods at the prior exam were 30% more likely to become obese during the follow-up period as compared with women living in neighborhoods with low levels of segregation after adjustment for sociodemographic and cardiovascular risk covariates (hazard ratio = 1.3 [95% confidence interval = 1.0, 1.7]). Cumulatively high exposure to segregation averaged across time points was associated with 50% higher hazard of obesity (hazard ratio = 1.5 [95% confidence interval = 1.0, 2.3]) among women. We observed few differences in obesity incidence among men by segregation levels. CONCLUSIONS: Fewer health-promoting resources, stressful neighborhood context, and social norms that are less stigmatizing of obesity may contribute to these findings, but more research on specific pathways leading from segregation to obesity is needed to understand differing patterns between men and women.

Association of Modifiable Risk Factors in Young Adulthood With Racial Disparity in Incident Type 2 Diabetes During Middle Adulthood.

Importance: In the United States, black individuals are twice as likely to develop type 2 diabetes compared with white individuals, and these disparities are particularly pronounced in young and middle age. Prior studies have identified differences in traditional risk factors that may be associated with racial disparities in diabetes incidence but have not simultaneously adjusted for risk factors measured across multiple domains (eg, the individual and the environment) and updated over time. Objective: To determine the relative associations of modifiable biological, neighborhood, psychosocial, socioeconomic, and behavioral factors in young adulthood with the observed racial disparity in diabetes incidence between middle-aged black and white individuals. Design, Setting, and Participants: Black and white men and women from the observational Coronary Artery Risk Development in Young Adults study, aged 18 to 30 years, without diabetes at baseline (1985-1986; N = 4251) were observed through 2015-2016. Sex-stratified multivariable-adjusted Cox proportional hazards modeling, with adjustment for time-updated covariates, was used to estimate risk for incident diabetes. Percent reduction in the ß coefficient (the logarithm used to calculate the hazard ratio [HR]) was calculated to compare black to white participants. Exposures: Self-identified race and factors including biological (eg, fasting glucose, body mass index), neighborhood (racial segregation and tract-level poverty), psychosocial (depressive symptoms), socioeconomic (eg, personal and parental educational attainment, current employment), and behavioral (eg, regular alcohol consumption, smoking) domains. Main Outcomes and Measures: Incident type 2 diabetes mellitus. Results: The mean (SD) age at baseline was 25 (3.6) years, 49% (n = 2066) of the sample was black, and 54% (n = 2304) were women. Over a mean follow-up of 24.5 years, 504 cases of incident diabetes were identified. Using sex-stratified multivariable-adjusted Cox proportional hazards models, black women and men were more likely to develop diabetes than white men and women (black women: HR, 2.86 [95% CI, 2.19-3.72] and risk difference [RD], 89 cases/1000 people [95% CI, 61-117]; black men: HR, 1.67 [95% CI, 1.28-2.17] and RD, 47 cases/1000 people [95% CI, 15-78]) after adjustment for age and center. Biological factors were most strongly associated with the disparity in diabetes risk between black and white individuals for women (percent reduction in ß, 112%) and men (percent reduction in ß, 86%). There was no longer disparity in diabetes risk between black and white middle-aged adults after adjustment for biological, neighborhood, psychosocial, socioeconomic, and behavioral factors measured over time (HR for women, 0.79 [95% CI, 0.55-1.14]; HR for men, 0.92 [95% CI, 0.62-1.38]). Conclusions and Relevance: In this cohort study comparing black and white participants, there was a statistically significant increased risk of incident type 2 diabetes among black women and men. However, after adjustment for modifiable risk factors during young adulthood, the disparity was no longer statistically significant.

Accounting for Selectivity Bias and Correlation Across the Sequence From Elevated Blood Pressure to Hypertension Diagnosis and Treatment.

BACKGROUND: It is unknown whether efforts to reduce hypertension burden in countries with very high prevalence, would be more effective if directed at hypertension diagnosis vs. treatment. Most analyses do not address bias and correlation across the sequence from elevated blood pressure (BP) to hypertension diagnosis and treatment, leading to potentially misleading findings. METHODS: Using data spanning 18 years of the China Health and Nutrition Survey (n = 18,926; ages 18-75 years), we used an innovative 3-step, integrated system of equations to predict the sequence from: (i) elevated BP (systolic/diastolic BP ≥ 140/90 mm Hg) to (ii) diagnosed hypertension conditional on elevated BP, and to (iii) treatment (medication use) conditional on diagnosis, accounting for measured and unmeasured individual- and community-level confounders at each of the 3 steps. We compared results to separate traditional logistic regression models without control for unmeasured confounding. RESULTS: Using our 3-step model, elevated BP increased from 12.6% and 8.5% (1991) to 36.8% and 29% (2009) in men and women, respectively, but diagnosis remained under 50%. We found widening disparities in hypertension diagnosis (higher hypertension at lower vs. higher education (difference of 2% in 1991 that widened to 5% in 2009)) and narrowing disparities in education (difference of 6% in 1991 to 4% in 2009) and insurance status (difference of 7% in 1991 to 2% in 2009) for treatment. CONCLUSIONS: Our 3-step model improved model fit over traditionally used models. Our findings highlight serious barriers to hypertension diagnosis in Chinese adults, particularly among men and individuals of low attained education.

Municipal investment in off-road trails and changes in bicycle commuting in Minneapolis, Minnesota over 10 years: a longitudinal repeated cross-sectional study.

BACKGROUND: We studied the effect of key development and expansion of an off-road multipurpose trail system in Minneapolis, Minnesota between 2000 and 2007 to understand whether infrastructure investments are associated with increases in commuting by bicycle. METHODS: We used repeated measures regression on tract-level (N = 116 tracts) data to examine changes in bicycle commuting between 2000 and 2008-2012. We investigated: 1) trail proximity measured as distance from the trail system and 2) trail potential use measured as the proportion of commuting trips to destinations that might traverse the trail system. All analyses (performed 2015-2016) adjusted for tract-level sociodemographic covariates and contemporaneous cycling infrastructure changes (e.g., bicycle lanes). RESULTS: Tracts that were both closer to the new trail system and had a higher proportion of trips to destinations across the trail system experienced greater 10-year increases in commuting by bicycle. CONCLUSIONS: Proximity to off-road infrastructure and travel patterns are relevant to increased bicycle commuting, an important contributor to overall physical activity. Municipal investment in bicycle facilities, especially off-road trails that connect a city's population and its employment centers, is likely to lead to increases in commuting by bicycle.

Beyond Supermarkets: Food Outlet Location Selection in Four U.S. Cities Over Time.

INTRODUCTION: Understanding what influences where food outlets locate is important for mitigating disparities in access to healthy food outlets. However, few studies have examined how neighborhood characteristics influence the neighborhood food environment over time, and whether these relationships differ by neighborhood-level income. METHODS: Neighborhood-level data from four U.S. cities (Birmingham, AL; Chicago, IL; Minneapolis, MN; Oakland, CA) from 1986, 1993, 1996, 2001, 2006, and 2011 were used with two-step econometric models to estimate longitudinal associations between neighborhood-level characteristics (z-scores) and the log-transformed count/km2 (density) of food outlets within real estate-derived neighborhoods. Associations were examined with lagged neighborhood-level sociodemographics and lagged density of food outlets, with interaction terms for neighborhood-level income. Data were analyzed in 2016. RESULTS: Neighborhood-level income at earlier years was negatively associated with the current density of convenience stores (ß= -0.27, 95% CI= -0.16, -0.38, p<0.001). The percentage of neighborhood white population was negatively associated with fast food restaurant density in low-income neighborhoods (10th percentile of income: ß= -0.17, 95% CI= -0.34, -0.002, p=0.05), and the density of smaller grocery stores across all income levels (ß= -0.27, 95% CI= -0.45, -0.09, p=0.003). There was a lack of policy-relevant associations between the pre-existing food environment and the current density of food outlet types, including supermarkets. CONCLUSIONS: Socioeconomically disadvantaged and minority populations may attract "unhealthy" food outlets over time. To support equal access to healthy food outlets, the availability of "less healthy" food outlets types may be relatively more important than the potential lack of supermarkets or full-service restaurants.

How do individual-level sociodemographics and neighbourhood-level characteristics influence residential location behaviour in the context of the food and built environment? Findings from 25†years of follow-up in the CARDIA Study.

BACKGROUND: Little is known about how diet-related and activity-related amenities relate to residential location behaviour. Understanding these relationships is essential for addressing residential self-selection bias. METHODS: Using 25 years (6 examinations) of data from the Coronary Artery Risk Development in Young Adults (CARDIA) study (n=11 013 observations) and linked neighbourhood-level data from the 4 CARDIA baseline cities (Birmingham, Alabama; Chicago, Illinois; Minneapolis, Minnesota; Oakland, California, USA), we characterised participants' neighbourhoods as having low, average or high road connectivity and amenities using non-hierarchical cluster analysis. We then used repeated measures multinomial logistic regression with random effects to examine the associations between individual-level sociodemographics and neighbourhood-level characteristics with residential neighbourhood types over the 25-year period, and whether these associations differed by individual-level income. RESULTS: Being female was positively associated with living in neighbourhoods with low (vs high) road connectivity and activity-related and diet-related amenities among high-income individuals only. At all income levels, a higher percentage of neighbourhood white population and neighbourhood population <18 years were associated with living in neighbourhoods with low (vs high) connectivity and amenities. Individual-level race; age; and educational attainment, neighbourhood socioeconomic status and housing prices did not influence residential location behaviour related to neighbourhood connectivity and amenities at any income level. CONCLUSIONS: Neighbourhood-level factors appeared to play a comparatively greater role in shaping residential location behaviour than individual-level sociodemographics. Our study is an important step in understanding how residential locational behaviour relates to amenities and physical activity opportunities, and may help mitigate residential self-selection bias in built environment studies.

In which neighborhoods are older adult populations expanding?: Sociodemographic and built environment characteristics across neighborhood trajectory classes of older adult populations in four U.S. cities over 30 Years.

OBJECTIVES: We sought to examine characteristics of neighborhoods with changing older adult populations. METHODS: We used 30 years (1980-2011) of data from four U.S. cities (n=392 neighborhoods; Birmingham, AL; Chicago, IL; Minneapolis, MN; Oakland, CA) and finite mixture modeling to identify trajectory classes: neighborhoods with "stable", declining, or increasing older adult populations (≥65 years). We then compared mean baseline and change in their characteristics. RESULTS: Neighborhoods with increasing (vs. "stable") percentage of older adult populations had lower initial poverty and greater increases in education and income, with lower increases in road connectivity, population density, and housing prices/debt over time. The same was true for neighborhoods with declining older adult populations, with the exception of having higher increases in housing prices/debt. We observed few significant differences in neighborhood amenities or parks across classes. CONCLUSIONS: Our results emphasize the need to consider built and social environments when planning communities for older adults.

Sociodemographic Disparities in Proximity of Schools to Tobacco Outlets and Fast-Food Restaurants.

OBJECTIVES: To examine the association of school sociodemographic characteristics with tobacco outlet and fast-food restaurant availability near schools in a national study. METHODS: Business lists and data from the National Center for Education Statistics were used to calculate the numbers of tobacco outlets and fast-food restaurants within 800 meters of public schools in 97 US counties. RESULTS: More than 50% of schools with a majority of Hispanic students had both a fast-food restaurant and tobacco outlet nearby, compared with 21% of schools with a majority of White students. In adjusted models, each 10% increase in the number of low-income and Hispanic students enrolled in a school led to a 3% to 5% increase in the odds of the school having both a fast-food restaurant and a tobacco outlet nearby. CONCLUSIONS: Low-income and Hispanic students are disproportionately exposed to both tobacco outlets and fast-food restaurants near their schools. Easy access to tobacco products and fast food may influence youth smoking initiation and contribute to poor dietary intake.