Association of cumulative social risk with mortality and adverse cardiovascular disease outcomes

Implications of Social Disadvantage Score in Cardiovascular Outcomes and Risk Assessment: Findings From the Multi-Ethnic Study of Atherosclerosis

BACKGROUND

Social determinants of health contribute to disparate cardiovascular outcomes, yet they have not been operationalized into the current paradigm of cardiovascular risk assessment.

METHODS

Data from the Multi-Ethnic Study of Atherosclerosis, which includes participants from 6 US field centers, were used to create an index of baseline Social Disadvantage Score (SDS) to explore its association with incident atherosclerotic cardiovascular disease (ASCVD) and all-cause mortality and impact on ASCVD risk prediction. SDS, which ranges from 0 to 4, was calculated by tallying the following social factors: (1) household income less than the federal poverty level; (2) educational attainment less than a high school diploma; (3) single-living status; and (4) experience of lifetime discrimination. Cox models were used to examine the association between SDS and each outcome with adjustment for traditional cardiovascular risk factors. Changes in the discrimination and reclassification of ASCVD risk by incorporating SDS into the pooled cohort equations were examined.

RESULTS

A total of 6434 participants (mean age, 61.9±10.2 years; female 52.8%; non-white 60.9%) had available SDS 1733 (26.9%) with SDS 0; 2614 (40.6%) with SDS 1; 1515 (23.5%) with SDS 2; and 572 (8.9%) with SDS ≥3. In total, 775 incident ASCVD events and 1573 deaths were observed over a median follow-up of 17.0 years. Increasing SDS was significantly associated with incident ASCVD and all-cause mortality after adjusting for traditional risk factors (ASCVD: per unit increase in SDS hazard ratio, 1.15 [95% CI, 1.07-1.24]; mortality: per unit increase in SDS hazard ratio, 1.13 [95% CI, 1.08-1.19]). Adding SDS to pooled cohort equations components in a Cox model for 10-year ASCVD risk prediction did not significantly improve discrimination (P=0.208) or reclassification (P=0.112).

CONCLUSIONS

Although SDS is independently associated with incident ASCVD and all-cause mortality, it does not improve 10-year ASCVD risk prediction beyond pooled cohort equations.

Detrimental effect of high social risk on the cardiovascular health status of community-dwelling older adults living in rural settings. A population-based, longitudinal prospective study

BACKGROUND

Information of the effect of social risk on the cardiovascular health (CVH) status among individuals living in rural settings is limited. We aim to assess this effect in participants of the Three Villages Study cohort.

METHODS

Following a longitudinal prospective design, older adults living in rural Ecuador received baseline social risk determinations by means of social determinants of health components included in the Gijon's Social-Familial Evaluation Scale (SFES) together with clinical interviews and procedures to determine CVH status included in the Life's Simple 7 construct. Those who also received CVH assessment at the end of the study were included. Random-effects generalized least square and mixed logistic regression models were fitted to assess the longitudinal effect of social risk on CVH metrics, after adjusting for relevant covariates.

RESULTS

The study included 443 community dwellers (mean age: 67 ± 7 years). The Gijon's SFES mean score was 9.8 ± 2.7 points. The mean number of ideal CVH metrics at baseline was 3.1 ± 1.3, which decreased to 2.6 ± 1.2 (β: -0.467; 95% C.I.: -0.588 to -0.346), after a mean of 7.31 ± 3.26 years of follow-up. The total Gijon's SFES score was higher among individuals with a worsening CVH status compared to those who did not (10.4 ± 2.6 versus 9.3 ± 2.6; p < 0.001). The ideal CVH status declined 1.23 (95% C.I.: 1.13-1.34) times per point of change in the total Gijon's SFES score.

CONCLUSION

Study results indicate a deleterious effect of high social risk on CVH status at follow-up in this underserved population.

Racial, ethnic, and language differences in screening measures for statin therapy following a major guideline change

Atherosclerotic cardiovascular disease (ASCVD) disproportionally affects racial and ethnic minority populations. Statin prescribing guidelines changed in 2013 to improve ASCVD prevention. It is unknown whether risk screening for statin eligibility differed across race and ethnicity over this guideline change. We examine racial/ethnic/language differences in screening measure prevalence for period-specific statin consideration using a retrospective cohort design and linked electronic health records from 635 community health centers in 24 U.S. states. Adults 50+ years, without known ASCVD, and ≥ 1 visit in 2009-2013 and/or 2014-2018 were included, grouped as: Asian, Latino, Black, or White further distinguished by language preference. Outcomes included screening measure prevalence for statin consideration, 2009-2013: low-density lipoprotein (LDL), 2014-2018: pooled cohort equation (PCE) components age, sex, race, systolic blood pressure, total cholesterol, high-density lipoprotein, smoking status. Among patients seen both periods, change in period-specific measure prevalence was assessed. Adjusting for sociodemographic and clinical factors, compared to English-preferring White patients, all other groups were more likely to have LDL documented (2009-2013, n = 195,061) and all PCE components documented (2014-2018, n = 344,504). Among patients seen in both periods (n = 128,621), all groups had lower odds of PCE components versus LDL documented in the measures' respective period; English-preferring Black adults experienced a greater decline compared to English-preferring White adults (OR 0.81; 95% CI: 0.72-0.91). Racial/ethnic/language disparities in documented screening measures that guide statin therapy for ASCVD prevention were unaffected by a major guideline change advising this practice. It is important to understand whether the newer guidelines have altered disparate prescribing and morbidity/mortality for this disease.

Associations between cumulative social risk, psychosocial risk, and ideal cardiovascular health: Insights from the HeartSCORE study

•

Higher social risk is associated with achievement of fewer ideal cardiovascular health factors.

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The association was modestly attenuated after adjusting for depression, stress, and perceived discrimination.

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Psychosocial factors may mediate part of the association between social risk and achievement of ideal cardiovascular health.

Background

Limited studies have assessed the effects of psychosocial risk factors on achievement of ideal cardiovascular health (CVH).

Methods

Using the Heart Strategies Concentrating on Risk Evaluation (HeartSCORE) cohort, we examined the cross-sectional associations of cumulative social risk (CSR) and three psychosocial factors (depression, stress, perceived discrimination) with ideal CVH. CSR was calculated by assigning one point for each of: low family income, low education level, minority race (Black), and single-living status. Ideal CVH was calculated by assigning one point for ideal levels of each factor in American Heart Association's Life's Simple 7. Ideal CVH was dichotomized into fewer versus higher by combining participants achieving <3 versus ≥3 factors. Logistic regression models were used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) of having fewer ideal CVH factors. Psychosocial factors were assessed as mediators of the association between CSR and ideal CVH.

Results

We included 2000 participants (mean age 59.1 [7.5] years, 34.6% male, 42.7% Black, and 29.1% with low income), among whom 60.6% had <3 ideal CVH factors. The odds of having fewer ideal CVH factors increased significantly with increasing CSR scores from 1 to 2, to ≥3 compared to individuals with CSR score of zero, after adjusting for age and sex (OR [95% CIs]: 1.77 [1.41 - 2.22]; 2.09 [1.62 - 2.69] 2.67 [1.97 - 3.62], respectively). Taking the components of ideal CVH separately, higher CSR was directly associated with odds of being in ‘non-ideal’ category for six of the seven factors, but was inversely associated with probability of being in ‘non-ideal’ category for cholesterol. The association was modestly attenuated after adjusting for depression, stress, and perceived discrimination (corresponding OR [95% CI]: 1.69 [1.34 - 2.12], 1.96 [1.51 - 2.55], 2.34 [1.71 - 3.20]). The psychosocial factors appeared to mediate between 10% and 20% of relationship between CSR and ideal CVH.

Conclusions

Increased CSR was associated with lower probability of achieving ideal CVH factors. A modest amount of the effect of CSR on ideal CVH appeared to be mediated by depression, stress and perceived discrimination. Public health strategies aimed at improving ideal cardiovascular health may benefit from including interventions targeting social and psychosocial risk factors.

Predictors of Elevated Social Risk in Pediatric Emergency Department Patients and Families

OBJECTIVE

This study aimed to identify predictors of high unmet social needs among pediatric emergency department (ED) patients. We hypothesized that obesity, frequent nonurgent visits, reported food insecurity, or an at-risk chief complaint (CC) would predict elevated social risk.

METHODS

We administered a tablet-based survey assessing unmet social needs in 13 domains to caregivers of patients aged 0 to 17 years presenting to an urban pediatric ED. Responses were used to tabulate a social risk score (SRS). We performed multivariable logistic regression to measure associations between a high SRS (≥3) and obesity, frequent nonurgent visits, food insecurity, or an at-risk CC (physical abuse, sexual abuse, assault, mammalian bites, reproductive/sexual health complaints, intoxication, ingestion/poisoning, psychiatric/behavioral complaints, or any complaint triaged as "least urgent").

RESULTS

Five hundred seventy caregivers completed the survey. Eighty-one percent reported at least one unmet social need, and 33% identified ≥3 social needs. Caregivers of patients with an at-risk CC had twice the odds of a high SRS (adjusted odds ratio [aOR], 1.8; 95% confidence interval [CI], 1.0-3.3). Caregivers of patients reporting food insecurity had 4 times the odds of a high SRS (aOR, 4.3; 95% CI, 2.5-7.3). Neither obesity (aOR, 1.5; 95% CI, 0.9-2.6) nor frequent nonurgent visits (aOR, 0.9; 95% CI, 0.4-1.9) were predictive of a high SRS.

CONCLUSIONS

Unmet social needs are prevalent among caregivers of pediatric ED patients, supporting universal screening in this population. Patients with an at-risk CC or reported food insecurity might benefit from proactive intervention. Future studies should examine optimal methods for ED-based interventions that address social determinants of health.

Confounding by Socioeconomic Status in Epidemiological Studies of Air Pollution and Health: Challenges and Opportunities

BACKGROUND

Despite a vast air pollution epidemiology literature to date and the recognition that lower-socioeconomic status (SES) populations are often disproportionately exposed to pollution, there is little research identifying optimal means of adjusting for confounding by SES in air pollution epidemiology, nor is there a strong understanding of biases that may result from improper adjustment.

OBJECTIVE

We aim to provide a conceptualization of SES and a review of approaches to its measurement in the U.S. context and discuss pathways by which SES may influence health and confound effects of air pollution. We explore bias related to measurement and operationalization and identify statistical approaches to reduce bias and confounding.

DISCUSSION

Drawing on the social epidemiology, health geography, and economic literatures, we describe how SES, a multifaceted construct operating through myriad pathways, may be conceptualized and operationalized in air pollution epidemiology studies. SES varies across individuals within the contexts of place, time, and culture. Although no single variable or index can fully capture SES, many studies rely on only a single measure. We recommend examining multiple facets of SES appropriate to the study design. Furthermore, investigators should carefully consider the multiple mechanisms by which SES might be operating to identify those SES indicators that may be most appropriate for a given context or study design and assess the impact of improper adjustment on air pollution effect estimates. Last, exploring model contraction and expansion methods may enrich adjustment, whereas statistical approaches, such as quantitative bias analysis, may be used to evaluate residual confounding. https://doi.org/10.1289/EHP7980.

Evaluating the health effect of a Social Housing programme, Minha Casa Minha Vida, using the 100 million Brazilian Cohort: a natural experiment study protocol

INTRODUCTION

Social housing programmes have been shown to influence health, but their effects on cardiovascular mortality and incidence of infectious diseases, such as leprosy and tuberculosis, are unknown. We will use individual administrative data to evaluate the effect of the Brazilian housing programme Minha Casa Minha Vida (MCMV) on cardiovascular disease (CVD) mortality and incidence of leprosy and tuberculosis.

METHODS AND ANALYSIS

We will link the baseline of the 100 Million Brazilian Cohort (2001-2015), which includes information on socioeconomic and demographic variables, to the MCMV (2009-2015), CVD mortality (2007-2015), leprosy (2007-2015) and tuberculosis (2007-2015) registries. We will define our exposed population as individuals who signed the contract to receive a house from MCMV, and our non-exposed group will be comparable individuals within the cohort who have not signed a contract for a house at that time. We will estimate the effect of MCMV on health outcomes using different propensity score approaches to control for observed confounders. Follow-up time of individuals will begin at the date of exposure ascertainment and will end at the time a specific outcome occurs, date of death or end of follow-up (31 December 2015). In addition, we will conduct stratified analyses by the follow-up time, age group, race/ethnicity, gender and socioeconomic position.

ETHICS AND DISSEMINATION

The study was approved by the ethic committees from Instituto Gonçalo Muniz-Oswaldo Cruz Foundation and University of Glasgow Medical, Veterinary and Life Sciences College. Data analysis will be carried out using an anonymised dataset, accessed by researchers in a secure computational environment according to the Centre for Integration of Data and Health Knowledge procedures. Study findings will be published in high quality peer-reviewed research journals and will also be disseminated to policy makers through stakeholder events and policy briefs.

Multiple Vulnerabilities to Health Disparities and Incident Heart Failure Hospitalization in the REGARDS Study

BACKGROUND

Socially determined vulnerabilities (SDVs) to health disparities often cluster within the same individual. SDVs are separately associated with increased risk of heart failure (HF). The objective of this study was to determine the cumulative effect of SDVs to health disparities on incident HF hospitalization.

METHODS AND RESULTS

Using the REGARDS (Reasons for Geographic and Racial Differences in Stroke) cohort study, we studied 25 790 participants without known HF and followed them for 10+ years. Our primary outcome was an incident HF hospitalization through December 31, 2016. Guided by the Healthy People 2020 framework for social determinants of health, we examined 10 potential SDVs. We retained SDVs associated with incident HF hospitalization (P<0.10) and created an SDV count (0, 1, 2, 3+). Using the count, we estimated Cox proportional hazard models to examine associations with incident HF hospitalization, adjusting for potential confounders. Models were stratified by age (45-64, 65-74, and 75+ years) because past reports suggest greater disparities in HF incidence at younger ages. Participants were followed for a median of 10.1 years (interquartile range, 6.5-11.9). Black race, low educational attainment, low annual household income, zip code poverty, poor public health infrastructure, and lack of health insurance were associated with incident HF hospitalization. In adjusted models, among those 45 to 64 years, compared with having no SDV, having 1 SDV (hazard ratio, 1.85 [95% CI, 1.12-3.05]), 2 SDVs (hazard ratio, 2.12 [95% CI, 1.28-3.50]), and 3+ SDVs (hazard ratio, 2.45 [95% CI, 1.48-4.04]) were significantly associated with incident HF hospitalization (P for trend, 0.001). We observed no significant associations for older individuals.

CONCLUSIONS

A greater number of SDVs significantly increased risk of incident HF hospitalization among adults <65 years, which persisted after adjustment for cardiovascular risk factors. Using a simple SDV count that could be obtained from a social history during clinical assessment may identify younger individuals at increased risk.

Interrelations of Cumulative Social Risk, Silent Myocardial Infarction, and Mortality in the General Population

Cumulative social risk (CSR), defined as experiencing more than one social risk factor, is associated with a significant increase in cardiovascular mortality. However, it is unclear whether CSR is associated with prevalent silent myocardial infarction (SMI), and whether their joint presence is predictive of mortality more than the presence of CSR in isolation. This analysis included 6,708 participants from the third National Health and Nutrition Examination Survey who were free of clinical cardiovascular disease at the time of enrollment. Baseline social risk factors (poverty-income ratio <1, minority race, education <12 grade, and living single) were used to create the CSR score with values ranging from 0 to ≥3. SMI was defined as electrocardiographic evidence of MI in the absence of clinical MI. In a multivariable-adjusted logistic regression model, baseline CSR ≥ 3 (vs 0) was associated with a higher prevalence of SMI (odds ratio [95% confidence interval]: 2.21 [1.16 to 4.23]). Over a median follow-up of 14 years, there were 2,151 all-cause deaths. Compared with CSR of 0 and no SMI, the risk of mortality with CSR was higher in the presence of SMI than without SMI (multivariable adjusted Hazard Ratios [95% confidence intervals] with vs without SMI were 1.76 [1.13 to 2.75] vs 1.27 [1.10 to 1.46] for CSR≥ 3; 2.06 [1.31 to 3.24] vs 1.21 [1.06 to 1.39] for CSR = 2; and 2.02 [1.31 to 3.12] vs 1.33 [0.63 to 2.82] for CSR = 1, respectively). In conclusion, exposure to CSR is associated with increased risk of SMI, and concomitant presence of SMI with CSR is associated with a higher risk of mortality than presence of CSR alone.

Environmental predictors of survival in a cohort of U.S. military veterans: A multi-level spatio-temporal analysis stratified by race

We analyzed racial differences in all-cause mortality rates associated with air pollution in a cohort of military veterans in which 37% of the 70,000 members identified as African-American (black). In this comprehensive analysis, spatial levels comprised individuals, zip-codes, and counties. Temporal levels comprised the 26-y follow-up period (1976-2001) and 4 subperiods. Proportional hazard regression models were used, controlling for individual age, race (white, black), smoking (current, ever), education, height, body-mass index, and systolic and diastolic blood pressure; zipcode-average socioeconomic indicators; and county-average climate. County-level air quality measures included vehicular traffic density as a surrogate for all traffic-related pollutants including noise. The model accounted for nonlinear mortality relationships with age, body-mass index, blood pressure and zip-code racial composition. Relative to whites, more of the black veterans smoked, had slightly higher blood pressure, and lived in predominately black zip-codes that had more poverty than whites. The black veterans lived in counties that had slightly worse ambient air quality and substantially higher levels of vehicular traffic density. We analyzed all-cause mortality associations with county-level average ozone, nitrogen dioxide, sulfur dioxide, carbon monoxide for 1975-81, and subsequent data on particulates by particle size. We also considered sulfate and elemental carbon particles, benzene, SO₂, and NO_x based on nationwide modeling for 2002. We had no information on indoor air quality or personal exposures; our risk estimates should thus be regarded as characterizing the counties of residence rather than individual exposures of inhabitants. In addition to age, the strongest predictors of veterans' survival were residence in high-poverty zip-codes, smoking, and diastolic blood pressure, to all of which black veterans were less sensitive than whites. Black veterans had significantly lower mortality risks from aging, smoking, and elevated diastolic blood pressure, but larger risks from excessive body-mass index. They were less at risk from living a high-poverty zip-code than whites. We assumed these risk factors to be stable during follow-up and thus applicable to chronic health effects. After controlling for them, the all-cause mortality risk for black veterans was 10% lower than whites. In an effort to reduce random scatter we computed mean risks associated with overlapping groups of similar pollutants. These means were statistically significant for both black and white veterans for traffic-related, gaseous, and NO_x-O₃ pollutants, for which the overall mean relative risk was 1.076 (1.057-1.090). Grouped mean risks for particulate pollutants, sulfur compounds, and non-traffic pollutants were not significant for either race. Black veterans carried more of the traffic-related risks than whites because of their greater exposures and risk coefficients. PM_2.5 risk estimates were negative for black veterans (0.82 [0.75-0.89]) but positive for whites (1.05 [1.005-1.10]) which is consistent with regional differences in overall mortality. The temporal analyses compared mortality rates by follow-up subperiod for the pollutants measured at enrollment. We expected increasing (cumulative) risks for chronic effects and decreasing risks for delayed acute effects, but found no significant trend for either race. We concluded that the higher exposures and mortality risks associated with vehicular traffic posed environmental injustice for the black veterans.

Association between cumulative social risk, particulate matter environmental pollutant exposure, and cardiovascular disease risk

Background

Long-term exposure to pollution has been shown to increase risk of cardiovascular disease (CVD) and mortality, and may contribute to the increased risk of CVD among individuals with higher social risk.

Methods

Data from the community-based Heart Strategies Concentrating on Risk Evaluation (HeartSCORE) study were used to quantify Cumulative Social Risk (CSR) by assigning a score of 1 for the presence of each of 4 social risk factors: racial minority, single living, low income, and low educational status. 1-year average air pollution exposure to PM_2.5 was estimated using land-use regression models. Associations with clinical outcomes were assessed using Cox models, adjusting for traditional CVD risk factors. The primary clinical outcome was combined all-cause mortality and nonfatal CVD events.

Results

Data were available on 1933 participants (mean age 59 years, 66% female, 44% Black). In a median follow up time of 8.3 years, 137 primary clinical outcome events occurred. PM_2.5 exposure increased with higher CSR score. PM_2.5 was independently associated with clinical outcome (adjusted hazard ratio [HR]: 1.19 [95% CI: 1.00, 1.41]). Participants with ≥2 CSR factors had an adjusted HR of 2.34 (1.48–3.68) compared to those with CSR = 0. The association was attenuated after accounting for PM_2.5 (HR: 2.16; [1.34, 3.49]). Mediation analyses indicate that PM_2.5 explained 13% of the risk of clinical outcome in individuals with CSR score ≥ 2.

Conclusion

In a community-based cohort study, we found that the association of increasing CSR with higher CVD and mortality risks is partially accounted for by exposure to PM_2.5 environmental pollutants.

Association between leucocyte telomere length and cardiovascular disease in a large general population in the United States

Leucocyte telomere length (LTL) has been reported to be linked to ageing, cancer and cardiovascular disease (CVD). This study aimed to explore the association between LTL and CVD risk in a nationally representative sample of U.S. adults. Complex associations, including nonlinearity and interaction, were also examined. A total of 7,378 subjects from the National Health and Nutrition Examination Survey (NHANES) 1999-2002 were collected. Telomere length was detected from DNA samples and expressed as the mean T/S ratio (telomere repeats per single-copy gene). We performed multiple logistic regression models and interactive analysis to explore the associations between LTL and CVD risk by adjusting for potential confounders. We also performed a sensitivity analysis to investigate the robustness of our results. Among all participants, LTL was associated with the risk of CVD (OR = 0.79, 95% CI: 0.63~0.98, P = 0.033) in a linear manner rather than in a nonlinear manner (P = 0.874). Interaction effects of LTL with both education (P = 0.017) and hypertension (P = 0.007) were observed. Furthermore, using subgroup analyses, protective effects of LTL on CVD risk were found in females and in individuals who were college graduates or above, had serum cotinine >10 ng/ml, did not have hypertension, or had normal white blood cell levels. LTL is linearly inversely associated with CVD risk in the general population of the United States.

Combined Effect of Marriage and Education on Mortality: A Cross-national Study of Older Japanese and Finnish Men and Women

Background

While marriage and education help maintain older adults’ health, their joint association with mortality remains unclear. This cross-national study examined the combined effect of marriage and education on the mortality of older Japanese and Finnish adults.

Methods

Data on 22,415 Japanese and 11,993 Finnish adults, aged 65–74 years, were obtained from the Japan Gerontological Evaluation Study of 2010–2012 and the Finnish Public Sector Study of 2008–2009 and 2012–2013. We followed up on respondents’ survival status for 5 years using public records. Marital status, educational level, and other variables in both datasets were harmonized.

Results

The Cox proportional hazards model showed that unmarried men had a higher mortality risk than married men in both countries (hazard ratio [HR] 1.47; 95% confidence interval [CI], 1.21–1.79 for Japanese and HR 1.94; 95% CI, 1.29–2.91 for Finnish); no such difference was observed in women. The highest mortality risk was observed in unmarried men with tertiary education in both Japan (HR 1.85; 95% CI, 1.21–2.83) and Finland (HR 2.21; 95% CI, 1.26–3.89), when adjusted for baseline age, health-related behaviors, and illnesses.

Conclusions

Our findings showed similarity in the combined effect of marriage and education between Japan and Finland, differing from observations in countries with more apparent socioeconomic health disparities. Further studies should examine the reasons for the excessive mortality risk in highly educated, unmarried men in both countries and consider whether selection bias led to underestimation of the true risk in unmarried older adults with lower education.

Association of Social and Behavioral Risk Factors With Earlier Onset of Adult Hypertension and Diabetes

IMPORTANCE

The National Academy of Medicine has recommended incorporating information on social and behavioral factors associated with health, such as educational level and exercise, into electronic health records, but questions remain about the clinical value of doing so.

OBJECTIVE

To examine whether National Academy of Medicine-recommended social and behavioral risk factor domains are associated with earlier onset of hypertension and/or diabetes in a clinical population.

DESIGN, SETTING, AND PARTICIPANTS

This prospective cohort study used data collected from April 1, 2005, to December 31, 2016, from a population-based sample of 41 745 patients from 4 cycles of Kaiser Permanente Northern California's Adult Member Health Survey, administered to members at 19 Kaiser Permanente Northern California medical center service populations. The study used Kaplan-Meier survival tables and Cox proportional hazards regression analysis to estimate the onset of hypertension and diabetes among patients with no indication of disease at baseline. Data analysis was performed from June 2, 2017, to March 26, 2019.

EXPOSURES

Race/ethnicity, educational level, financial worry, partnership status, stress, intimate partner violence, concentrated neighborhood poverty, depressive symptoms, infrequent exercise, smoking, heavy alcohol consumption, and cumulative social and behavioral risk.

MAIN OUTCOMES AND MEASURES

Onset of hypertension and diabetes during the 3.5 years after survey administration.

RESULTS

The study included 18 133 people without baseline hypertension (mean [SD] age, 48.1 [15.3] years; 10 997 [60.7%] female; and 11 503 [63.4%] white) and 35 788 people without baseline diabetes (mean [SD] age, 56.2 [16.9] years; 20 191 [56.4%] female; and 24 351 [68.0%] white). There was a dose-response association between the number of social and behavioral risk factors and likelihood of onset of each condition. Controlling for age, sex, race/ethnicity, body mass index, and survey year, hazard ratios (HRs) comparing those with 3 or more risk factors with those with 0 risk factor were 1.41 (95% CI, 1.17-1.71) for developing hypertension and 1.53 (95% CI, 1.29-1.82) for developing diabetes. When the same covariates were adjusted for, having less than a high school educational level (hazard ratio [HR], 1.84; 95% CI, 1.40-2.43), being widowed (HR, 1.38; 95% CI, 1.11-1.71), concentrated neighborhood poverty (HR, 1.26; 95% CI, 1.00-1.59), infrequent exercise (HR, 1.22; 95% CI, 1.08-1.38), and smoking (HR, 1.35; 95% CI, 1.10-1.67) were significantly associated with hypertension onset. Having less than a high school educational level (HR, 1.58; 95% CI, 1.26-1.97), financial worry (HR, 1.29; 95% CI, 1.13-1.46), being single or separated (HR, 1.24; 95% CI, 1.08-1.42), high stress (HR, 1.28; 95% CI, 1.09-1.51), intimate partner violence (HR, 1.68; 95% CI, 1.14-2.48), concentrated neighborhood poverty (HR, 1.31; 95% CI, 1.07-1.60), depressive symptoms (HR, 1.28; 95% CI, 1.10-1.50), and smoking (HR, 1.53; 95% CI, 1.27-1.86) were significantly associated with diabetes onset, although heavy alcohol consumption was associated with protection (HR, 0.75; 95% CI, 0.66-0.85) rather than risk.

CONCLUSIONS AND RELEVANCE

Independent of traditional risk factors, individual and cumulative social and behavioral risk factor exposures were associated with onset of hypertension and diabetes within 3.5 years in a clinical setting. The findings support the value of assessing social and behavioral risk factors to help identify high-risk patients and of providing targets for intervention.

Associations of Neighborhood-Level Social Determinants of Health with Bacterial Infections in Young, Febrile Infants

OBJECTIVE

To examine the sociodemographic characteristics of one population of young, febrile infants and identify associations between neighborhood-level social determinants of health (SDHs) with bacterial infections.

STUDY DESIGN

This was a retrospective cross sectional study of all infants ≤90 days old with a temperature of ≥38°C who presented in 2014 to the emergency department of an urban children's hospital in a large east coast city. The primary outcome was the presence of a bacterial infection, defined as a positive urine, blood, or cerebrospinal fluid culture that was treated clinically as a pathogen. The home address of each infant was geocoded and linked to neighborhood data based on census tract. Neighborhood-level SDHs included deprivation index, median household income, poverty, childhood poverty, social capital, and crowded housing. Associations were estimated using generalized estimating equations and negative binomial regression analysis. Models were adjusted for age, prematurity, and race/ethnicity.

RESULTS

Of 232 febrile infants, the median age was 54 days, 58% were male, 49% were Hispanic, and 88% had public health insurance; 31 infants (13.4%) had a bacterial infection. In the adjusted analyses, the risk of bacterial infection among infants from neighborhoods with high rates of childhood poverty was >3 times higher (relative risk, 3.16; 95% CI, 1.04-9.6) compared with infants from neighborhoods with low rates of childhood poverty.

CONCLUSIONS

Our findings suggest that SDHs may be associated with bacterial infections in young, febrile infants. If confirmed in subsequent studies, the inclusion of SDHs in predictive tools may improve accuracy in detecting bacterial infections among young, febrile infants.