Health status, neighborhood socioeconomic context, and premature mortality in the United States: The National Institutes of Health-AARP Diet and Health Study

Prevalence of alcohol use disorders documented in electronic health records in primary care across intersections of race or ethnicity, sex, and socioeconomic status

BACKGROUND

Diagnosis of alcohol use disorder (AUD) in primary care is critical for increasing access to alcohol treatment. However, AUD is underdiagnosed and may be inequitably diagnosed due to societal structures that determine access to resources (e.g., structural racism that limits opportunities for some groups and influences interpersonal interactions in and beyond health care). This study described patterns of provider-documented AUD in primary care across intersections of race, ethnicity, sex, and community-level socioeconomic status (SES).

METHODS

This cross-sectional study used EHR data from a regional healthcare system with 35 primary care clinics that included adult patients who completed alcohol screenings between 3/1/2015 and 9/30/2020. The prevalence of provider-documented AUD in primary care based on International Classification of Diseases-9 (ICD-9) and ICD-10 diagnoses was compared across intersections of race, ethnicity, sex, and community-level SES.

RESULTS

Among 439,375 patients, 6.6% were Latine, 11.0% Asian, 5.4% Black, 1.3% Native Hawaiian/Pacific Islander (NH/PI), 1.5% American Indian/Alaska Native (AI/AN), and 74.2% White, and 58.3% women. The overall prevalence of provider-documented AUD was 1.0% and varied across intersecting identities. Among women, the prevalence was highest for AI/AN women with middle SES, 1.5% (95% CI 1.0-2.3), and lowest for Asian women with middle SES, 0.1% (95% CI 0.1-0.2). Among men, the prevalence was highest for AI/AN men with high and middle SES, 2.0% (95% CI 1.1-3.4) and 2.0% (95% CI 1.2-3.2), respectively, and lowest for Asian men with high SES, 0.5% (95% CI 0.3-0.7). Black and Latine patients tended to have a lower prevalence of AUD than White patients, across all intersections of sex and SES except for Black women with high SES. There were no consistent patterns of the prevalence of AUD diagnosis that emerged across SES.

CONCLUSION

The prevalence of provider-documented AUD in primary care was highest in AI/AN men and women and lowest in Asian men and women. Findings of lower prevalence of provider-documented AUD in Black and Hispanic than White patients across most intersections of sex and SES differed from prior studies. Findings may suggest that differences in access to resources, which vary in effects across these identity characteristics and lived experiences, influence the diagnosis of AUD in clinical care.

Neighborhood Socioeconomic Disadvantage Across the Life Course and Premature Mortality

Importance

There are consistent data demonstrating that socioeconomic disadvantage is associated with risk of premature mortality, but research on the relationship between neighborhood socioeconomic factors and premature mortality is limited. Most studies evaluating the association between neighborhood socioeconomic status (SES) and mortality have used a single assessment of SES during middle to older adulthood, thereby not considering the contribution of early life neighborhood SES.

Objective

To investigate the association of life course neighborhood SES and premature mortality.

Design, Setting, and Participants

This cohort study included Black and White participants of the multicenter Atherosclerosis Risk in Communities Study, a multicenter study conducted in 4 US communities: Washington County, Maryland; Forsyth County, North Carolina; Jackson, Mississippi; and the northwestern suburbs of Minneapolis, Minnesota. Participants were followed up for a mean (SD) of 18.8 (5.7) years (1996-2020). Statistical analysis was performed from March 2023 through May 2024.

Exposure

Participants' residential addresses during childhood, young adulthood, and middle adulthood were linked with US Census-based socioeconomic indicators to create summary neighborhood SES scores for each of these life epochs. Neighborhood SES scores were categorized into distribution-based tertiles.

Main Outcomes and Measures

Premature death was defined as all-cause mortality occurring before age 75 years. Multivariable-adjusted Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% CIs.

Results

Among 12 610 study participants, the mean (SD) age at baseline was 62.6 (5.6) years; 3181 (25.2%) were Black and 9429 (74.8%) were White; and 7222 (57.3%) were women. The lowest, compared with the highest tertile, of neighborhood SES score in middle adulthood was associated with higher risk of premature mortality (HR, 1.28; 95% CI, 1.07-1.54). Similar associations were observed for neighborhood SES in young adulthood among women (HR, 1.25; 95% CI, 1.00-1.56) and neighborhood SES in childhood among White participants (HR, 1.25; 95% CI, 1.01-1.56). Participants whose neighborhood SES remained low from young to middle adulthood had an increased premature mortality risk compared with those whose neighborhood SES remained high (HR, 1.25; 95% CI, 1.05-1.49).

Conclusions and Relevance

In this study, low neighborhood SES was associated with premature mortality. The risk of premature mortality was greatest among individuals experiencing persistently low neighborhood SES from young to middle adulthood. Place-based interventions that target neighborhood social determinants of health should be designed from a life course perspective that accounts for early-life socioeconomic inequality.

Fecal Immunochemical Test Screening and Risk of Colorectal Cancer Death

Importance

The fecal immunochemical test (FIT) is widely used for colorectal cancer (CRC) screening, but evidence of its effectiveness is limited.

Objective

To evaluate whether FIT screening is associated with a lower risk of dying from CRC overall, according to cancer location, and within demographic groups.

Design, Setting, and Participants

This nested case-control study in a cohort of screening-eligible people was conducted in 2 large, integrated health systems of racially, ethnically, and socioeconomically diverse members with long-term programs of mailed FIT screening outreach. Eligible participants included people aged 52 to 85 years who died from colorectal adenocarcinoma between 2011 and 2017 (cases); cases were matched in a 1:8 ratio based on age, sex, health-plan membership duration, and geographic area to randomly selected persons who were alive and CRC-free on case's diagnosis date (controls). Data analysis was conducted from January 2002 to December 2017.

Exposures

Completing 1 or more FIT screenings in the 5-year period prior to the CRC diagnosis date among cases or the corresponding date among controls; in secondary analyses, 2- to 10-year intervals were evaluated.

Main Outcomes and Measures

The primary study outcome was CRC death overall and by tumor location. Secondary analyses were performed to assess CRC death by race and ethnicity.

Results

From a cohort of 2 127 128 people, a total of 10 711 participants (3529 aged 60-69 years [32.9%]; 5587 male [52.1%] and 5124 female [47.8%]; 1254 non-Hispanic Asian [11.7%]; 973 non-Hispanic Black [9.1%]; 1929 Hispanic or Latino [18.0%]; 6345 non-Hispanic White [59.2%]) was identified, including 1103 cases and 9608 controls. Among controls during the 10-year period prior to the reference date, 6101 (63.5%) completed 1 or more FITs with a cumulative 12.6% positivity rate (768 controls), of whom 610 (79.4%) had a colonoscopy within 1 year. During the 5-year period, 494 cases (44.8%) and 5345 controls (55.6%) completed 1 or more FITs. In regression analysis, completing 1 or more FIT screening was associated with a 33% lower risk of death from CRC (adjusted odds ratio [aOR], 0.67; 95% CI, 0.59-0.76) and 42% lower risk in the left colon and rectum (aOR, 0.58; 95% CI, 0.48-0.71). There was no association with right colon cancers (aOR, 0.83; 95% CI, 0.69-1.01) but the difference in the estimates between the right colon and left colon or rectum was statistically significant (P = .01). FIT screening was associated with lower CRC mortality risk among non-Hispanic Asian (aOR, 0.37; 95% CI, 0.23-0.59), non-Hispanic Black (aOR, 0.58; 95% CI, 0.39-0.85) and non-Hispanic White individuals (aOR, 0.70; 95% CI, 0.57-0.86) (P for homogeneity = .04 for homogeneity).

Conclusions and Relevance

In this nested case-control study, completing FIT was associated with a lower risk of overall death from CRC, particularly in the left colon, and the associations were observed across racial and ethnic groups. These findings support the use of FIT in population-based screening strategies.

Colorectal Cancer Screening After Sequential Outreach Components in a Demographically Diverse Cohort

Importance

Organized screening outreach can reduce differences in colorectal cancer (CRC) incidence and mortality between demographic subgroups. Outcomes associated with additional outreach, beyond universal outreach, are not well known.

Objective

To compare CRC screening completion by race and ethnicity, age, and sex after universal automated outreach and additional personalized outreach.

Design, Setting, and Participants

This observational cohort study included screening-eligible individuals aged 50 to 75 years assessed during 2019 in a community-based organized CRC screening program within the Kaiser Permanente Northern California (KPNC) integrated health care delivery setting. For KPNC members who are not up to date with screening by colonoscopy, each year the program first uses automated outreach (mailed prescreening notification postcards and fecal immunochemical test [FIT] kits, automated telephone calls, and postcard reminders), followed by personalized components for nonresponders (telephone calls, electronic messaging, and screening offers during office visits). Data analyses were performed between November 2021 and February 2023 and completed on February 5, 2023.

Exposures

Completed CRC screening via colonoscopy, sigmoidoscopy, or FIT.

Main Outcomes and Measures

The primary outcome was the proportion of participants completing an FIT or colonoscopy after each component of the screening process. Differences across subgroups were assessed using the χ2 test.

Results

This study included 1 046 745 KPNC members. Their mean (SD) age was 61.1 (6.9) years, and more than half (53.2%) were women. A total of 0.4% of members were American Indian or Alaska Native, 18.5% were Asian, 7.2% were Black, 16.2% were Hispanic, 0.8% were Native Hawaiian or Other Pacific Islander, and 56.5% were White. Automated outreach significantly increased screening participation by 31.1%, 38.1%, 29.5%, 31.9%, 31.8%, and 34.5% among these groups, respectively; follow-up personalized outreach further significantly increased participation by absolute additional increases of 12.5%, 12.4%, 13.3%, 14.4%, 14.7%, and 11.2%, respectively (all differences P < .05 compared with White members). Overall screening coverage at the end of the yearly program differed significantly among members who were American Indian or Alaska Native (74.1%), Asian (83.5%), Black (77.7%), Hispanic (76.4%), or Native Hawaiian or Other Pacific Islander (74.4%) compared with White members (82.2%) (all differences P < .05 compared with White members). Screening completion was similar by sex; older members were substantially more likely to be up to date with CRC screening both before and at the end of the screening process.

Conclusions and Relevance

In this cohort study of a CRC screening program, sequential automated and personalized strategies each contributed to substantial increases in screening completion in all demographic groups. These findings suggest that such programs may potentially reduce differences in CRC screening completion across demographic groups.

Socioeconomic status is not associated with unfavorable outcomes in patients with acute limb ischemia

OBJECTIVE

Whether socioeconomic status (SES) is associated with health outcomes in patients with acute limb ischemia (ALI) is largely unknown. We aimed to determine whether SES is associated with worse presentations and outcomes for patients with ALI.

METHODS

We performed a retrospective medical record review of patients who presented with ALI between April 2016 and October 2020 at a single tertiary care center. SES was quantified using individual variables (median household income, level of education, and employment) and a composite endpoint, the neighborhood deprivation index (NDI). The NDI is a standardized and reproducible index that uses census tract data (higher number indicates lower SES status). The NDI summarizes 8 domains of socioeconomic deprivation. ALI severity was categorized using the Rutherford classification. The association between SES and the severity of ALI at presentation and between SES and other health outcomes were analyzed using bivariate analysis of variance, independent t test, and multivariate logistic regression.

RESULTS

During the study period, 278 patients were treated for ALI, of whom 211 had complete SES data available. The mean age was 64 years, 55% were men, and 57% were White. The Rutherford classification of disease severity was grade 1, 2a, 2b, and 3 for 6%, 54%, 32%, and 8% of patients, respectively. Patients with a low SES status per the NDI were more likely to have a history of peripheral arterial disease and chronic kidney disease at presentation. The ALI etiology (thrombotic vs embolic) was not associated with SES. No significant differences were seen between SES and the severity of ALI at presentation (p = 0.96) or the treatment modality (p = 0.80). No associations between SES and 30-day or 1-year mortality were observed (mean NDI, 0.15 vs 0.26, p = 0.58, and 0.20 vs 0.26, p = 0.71, respectively) or between SES and 30-day or 1-year limb loss (mean NDI, 0.06 vs 0.30, p = 0.18, and 0.1 vs 0.32, p = 0.17, respectively). Lower SES (higher NDI) was associated with increased 30-day readmission (mean NDI, 0.49 vs 0.15, p = 0.021). However, this association was not significant on multivariate analysis (odds ratio 1.4, 95% CI 0.9-2.1, p = 0.06).

CONCLUSIONS

SES was not associated with the severity of ALI at patient presentation. Although SES was associated with the presence of peripheral arterial disease and chronic kidney disease at presentation, SES was not a predictor of short-term or 1-year limb loss and mortality. Overall, ALI presentation and treatment outcomes were independent of SES.

Investigation of predictors of severity of diabetes complications among hospitalized patients with diabetes in Florida, 2016-2019

BACKGROUND

Severe diabetes complications impact the quality of life of patients and may lead to premature deaths. However, these complications are preventable through proper glycemic control and management of risk factors. Understanding the risk factors of complications is important in guiding efforts to manage diabetes and reduce risks of its complications. Therefore, the objective of this study was to identify risk factors of severe diabetes complications among adult hospitalized patients with diabetes in Florida.

METHODS

Hospital discharge data from 2016 to 2019 were obtained from the Florida Agency for Health Care Administration through a Data Use Agreement with the Florida Department of Health. Adapted Diabetes Complications Severity Index (aDCSI) scores were computed for 1,061,140 unique adult patients with a diagnosis of diabetes. Severe complications were defined as those with an aDCSI ≥ 4. Population average models, estimated using generalized estimating equations, were used to identify individual- and area-level predictors of severe diabetes complications.

RESULTS

Non-Hispanic Black patients had the highest odds of severe diabetes complications compared to non-Hispanic White patients among both males (Odds Ratio [OR] = 1.20, 95% Confidence Interval [CI]: 1.17, 1.23) and females (OR = 1.27, 95% CI: 1.23, 1.31). Comorbidities associated with higher odds of severe complications included hypertension (OR = 2.30, 95% CI: 2.23, 2.37), hyperlipidemia (OR = 1.29, 95% CI: 1.27, 1.31), obesity (OR = 1.24, 95% CI: 1.21, 1.26) and depression (OR = 1.09, 95% CI: 1.07, 1.11), while the odds were lower for patients with a diagnosis of arthritis (OR = 0.81, 95% CI: 0.79, 0.82). Type of health insurance coverage was associated with the severity of diabetes complications, with significantly higher odds of severe complications among Medicare (OR = 1.85, 95% CI: 1.80, 1.90) and Medicaid (OR = 1.83, 95% CI: 1.77, 1.90) patients compared to those with private insurance. Residing within the least socioeconomically deprived ZIP code tabulation areas (ZCTAs) in the state had a protective effect compared to residing outside of these areas.

CONCLUSIONS

Racial, ethnic, and socioeconomic disparities in the severity of diabetes complications exist among hospitalized patients in Florida. The observed disparities likely reflect challenges to maintaining glycemic control and managing cardiovascular risk factors, particularly for patients with multiple chronic conditions. Interventions to improve diabetes management should focus on populations with disproportionately high burdens of severe complications to improve quality of life and decrease premature mortality among adult patients with diabetes in Florida.

Differences in site-specific cancer incidence by individual- and area-level income in Canada from 2006 to 2015

Income, a component of socioeconomic status, influences cancer risk as a social determinant of health. We evaluated the independent associations between individual- and area-level income and site-specific cancer incidence in Canada. We used data from the 2006 and 2011 Canadian Census Health and Environment Cohorts, which are probabilistically linked datasets constituted by 5.9 million and 6.5 million respondents of the 2006 Canadian long-form census and 2011 National Household Survey, respectively. Individuals were linked to the Canadian Cancer Registry through 2015. Individual-level income was derived using after-tax household income adjusted for household size. Annual tax return postal codes were used to assign area-level income quintiles to individuals for each year of follow-up. We calculated age-standardized incidence rates (ASIR) and rate ratios for cancers overall and by site. We conducted multivariable negative binomial regression to adjust these rates for other demographic and socioeconomic variables. Individuals of lower individual- and area-level income had higher ASIRs compared to those in the wealthiest income quintile for head and neck, oropharyngeal, esophageal, stomach, colorectal, anal, liver, pancreas, lung, cervical and kidney and renal pelvis cancers. Conversely, individuals of wealthier individual- and area-level income had higher ASIRs for melanoma, leukemia, Hodgkin's lymphoma, non-Hodgkin's lymphoma, breast, uterine, prostate and testicular cancers. Most differences in site-specific incidence by income quintile remained after adjustment. Although Canada's publicly funded healthcare system provides universal coverage, inequalities in cancer incidence persist across individual- and area-level income gradients. Our estimates suggest that individual- and area-level income affect cancer incidence through independent mechanisms.

A competing risk analysis of adherence to the American Cancer Society Guidelines on Nutrition and Physical Activity for Cancer Prevention and obesity-related cancer risk in Hispanic/Latino adults in the NIH-AARP Diet and Health Study

Incidence of obesity-related cancers (ORCs) is rising among US Hispanic/Latino adults, which may be partly due to inadequate engagement in healthy lifestyle behaviors. Prior research on cancer prevention guideline adherence and cancer risk has not considered competing events that may lead to misinterpreting the magnitude of risk between guideline adherence and cancer incidence. Among Hispanic/Latino adults (N = 9204) in the NIH-AARP Diet and Health Study, we examined the association between adherence to the 2012 American Cancer Society (ACS) guidelines (high, moderate, low) on nutrition and physical activity for cancer prevention and risk of any first observed ORC using Fine and Gray methods for competing risk analysis. Over a median of 10.5 years of follow-up, there were 619 first ORCs. The cumulative risk of ORC over a 15-year period was not significantly different across ACS guideline adherence categories (high cumulative incidence function [CIF]: 2.2%-5.8%; moderate CIF: 2.2%-6.6%; low CIF: 2.3%-6.7%, PGray's log rank  = .690). In competing risk analysis, high (compared to low) adherence to the ACS guidelines was associated with reduced probability of ORC (subdistribution hazard [SHR]: 0.76, 95% CI: 0.58-0.996, P = .047), with evidence of a linear trend for increasing adherence (Ptrend  = .039). Our findings were consistent with hypothesized inverse associations between ACS guideline adherence and ORC incidence accounting for competing risks. These findings suggest a need for continued public health efforts focused on promoting engagement in healthy lifestyle behaviors to reduce ORC incidence among US Hispanic/Latino adults.

Incorporating community-level risk factors into traumatic stress research: Adopting a public health lens

Infusing community-level risk factors into traumatic stress research can broaden intervention targets. The Neighborhood Deprivation Index (NDI) and the Index of Concentration at the Extremes (ICE) are two common community-level risk factors derived from U.S. census data. We provide R scripts facilitating the computation of these risk factors and demonstrate their relationship with PTSD symptomatology in 74 injury survivors assessed at 2-weeks, 6-weeks, and 3-months post-injury. The NDI and the ICE were computed using the Census Data Application Programming Interface, then matched to participants' census tracts using their residential addresses. Results indicated that after controlling for person-level characteristics, both risk factors were associated with PTSD symptom severity at follow up time points (Cohen's f² =0.011,.14). This study provides an easy method for computing the NDI and ICE, demonstrates the increased mental health risk that they convey in the aftermath of injury, and highlights their value in intervention efforts.

Socioeconomic status and clinical stage of patients presenting for treatment of chronic venous disease

OBJECTIVES

The association between socioeconomic status (SES) and chronic venous insufficiency has not been rigorously studied. This study aimed to determine the influence of SES on the clinical stage of patients presenting for chronic venous disease therapy.

METHODS

We performed a retrospective study of a prospectively collected data from the Vascular Quality Initiative Varicose Vein Registry at our tertiary referral center. Medical records of patients who underwent therapy for chronic venous disease between January 2015 and June 2019 were queried. SES was quantified using the neighborhood deprivation index (NDI), which summarizes 8 domains of socioeconomic deprivation and is based on census tract data derived from the patients' addresses at the time of the treatment. High NDI scores correspond with lower SES. The association between SES and severity of vein disease at presentation was assessed with bivariate analysis of variance and linear regression analysis.

RESULTS

A total of 449 patients with complete SES and clinical-etiology-anatomy-pathophysiology (CEAP) class data were included in the study. The mean age was 58 years, 67% were female, and 60% were White. CEAP classes were distributed as follows C2, 22%; C3, 50%; C4, 15%; C5, 5%; and C6, 8%. Patients with lower SES (higher NDI score) tended to have a higher CEAP class at presentation (P < 0.05). SES was not associated with history of deep venous thrombosis, use of compression therapy, or venous clinical severity score.

CONCLUSIONS

At our institution, patients with more advanced venous disease tended to belong to a lower SES group. This may reflect that patients with a lower SES have a longer time to presentation due to delay in seeking medical help for venous disease.

Death and taxes: Examining the racial inequality in premature death across neighborhoods

Legacies of residential segregation have led to deep inequities felt in communities of color across the nation and have been established as a fundamental cause of health disparities. Historical practices such as the redlining of majority Black neighborhoods in cities have led to long term consequences on these communities, including concentrated poverty and disadvantage. Research shows a strong connection between living in a poor neighborhood and poorer health outcomes, including early death, but questions remain about what characteristics of poor neighborhoods drive these disparities. We combined data from the American Community Survey with administrative data from Pittsburgh, Pennsylvania to examine the difference in premature death in Black and white neighborhoods (N = 87) using measures of socioeconomic disadvantage and less commonly studied neighborhood features including vacancy, tax delinquency, and property sales and conditions. Results suggest that features of abandonment, particularly the percent of tax delinquent properties in a neighborhood, may capture an important structural difference between majority Black and majority white neighborhoods with impacts beyond socioeconomic disadvantage on community health. We discuss implications of these findings for research and practice.

The Family Health Scale: Reliability and Validity of a Short- and Long-Form

Families strongly influence the health of communities and individuals across the life course, but no validated measure of family health exists. The absence of such a measure has limited the examination of family health trends and the intersection of family health with individual and community health. The purpose of this study was to examine the reliability and validity of the Family Health Scale (FHS), creating a multi-factor long-form and a uniform short-form. The primary sample included 1,050 adults recruited from a national quota sample Qualtrics panel. Mplus version 7 was used to analyze the data using a structural equation modeling framework. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) confirmed a 32-item, 4-factor long-form scale. The four factors included (1) family social and emotional health processes; (2) family healthy lifestyle; (3) family health resources; and (4) family external social supports. A 10-item short-form of the FHS was also validated in the initial sample and a second sample of 401 adults. Both the long-form and short-form FHS correlated in the expected direction with validated measures of family functioning and healthy lifestyle. A preliminary assessment of clinical cutoffs in the short-form were correlated with depression risk. The FHS offers the potential to assess family health trends and to develop accessible, de-identified databases on the well-being of families. Important next steps include validating the scale among multiple family members and collecting longitudinal data.

The effect of using fecal testing after a negative sigmoidoscopy on the risk of death from colorectal cancer

OBJECTIVE

To examine whether receiving a fecal occult blood test after a negative sigmoidoscopy reduced mortality from colorectal cancer.

METHODS

We used a nested case-control design with incidence-density matching in historical cohorts of 1,877,740 50-90-year-old persons during 2006-2012, in an integrated health-system setting. We selected 1758 average risk patients who died from colorectal cancer and 3503 matched colorectal cancer-free persons. Colorectal cancer-specific death was ascertained from cancer and mortality registries. Screening histories were determined from electronic and chart-audit clinical data in the 5- to 10-year period prior to the reference date. We evaluated receipt of subsequent fecal occult blood test within five years of the reference date among patients with negative sigmoidoscopy two to six years before the reference date.

RESULTS

Of the 5261 patients, 831 patients (204 colorectal cancer deaths/627 controls) had either negative sigmoidoscopy only (n = 592) or negative sigmoidoscopy with subsequent screening fecal occult blood test (n = 239). Fifty-six (27.5%) of the 204 patients dying of colorectal cancer and 183 (29.2%) of the 627 colorectal cancer-free patients received fecal occult blood test following a negative sigmoidoscopy. Conditional regressions found no significant association between fecal occult blood test receipt and colorectal cancer death risk, overall (adjusted odds ratio = 0.93, confidence interval: 0.65-1.33), or for right (odds ratio = 1.02, confidence interval: 0.65-1.60) or left-colon/rectum (odds ratio = 0.77, confidence interval: 0.39-1.52) cancers. Similar results were obtained in sensitivity analyses with alternative exposure ascertainment windows or timing of fecal occult blood test.

CONCLUSIONS

Our results suggest that receipt of at least one fecal occult blood test during the several years after a negative sigmoidoscopy did not substantially reduce mortality from colorectal cancer.

Neighbourhood-level deprivation indices and postpartum women's health: results from the Community Child Health Network (CCHN) multi-site study

Background

Area-level socioeconomic characteristics have been shown to be related to health status and mortality however, little is known about the association between residential community characteristics in relation to postpartum women’s health.

Methods

Data from the longitudinal, multi-site Community Child Health Network (CCHN) study were used. Postpartum women (n = 2510), aged 18–40 were recruited from 2008 to 2012 within a month of delivery. Socioeconomic data was used to create deprivation indices. Census data were analysed using principal components analysis (PCA) and logistic regression to assess the association between deprivation indices (DIs) and various health indicators.

Results

PCA resulted in two unique DIs that accounted for 67.5% of the total variance of the combined all-site area deprivation. The first DI was comprised of variables representing a high percentage of Hispanic or Latina, foreign-born individuals, dense households (more than one person per room of residence), with less than a high-school education, and who spent more than 30% of their income on housing costs. The second DI was comprised of a high percentage of African-Americans, single mothers, and high levels of unemployment. In a multivariate logistic regression model, using the quartiles of each DI, women who reside in the geographic area of Q4-Q2 of the second DI, were almost twice as likely to have more than three adverse health conditions compared to those who resided in the least deprived areas. (Q2vs.Q1:OR = 2.09,P = 0.001,Q3vs.Q1:OR = 1.89,P = 0.006,Q4vs.Q1:OR = 1.95,P = 0.004 respectively).

Conclusions

Our results support the utility of examining deprivation indices as predictors of maternal postpartum health.

Socio-economic status, self-rated health and mental health: the mediation effect of social participation on early-late midlife and older adults

Background

Socioeconomic status (SES) is a major determinant of diverse health outcomes, among these are self-rated-health and mental health. Yet the mechanisms underlying the SES—health relation are not fully explored. Socioeconomic inequalities in health and mental health may form along several pathways. One is social participation which is linked to better self-rated-health and mental health. We examined (1) whether various social participation practices, including the usage of information and communication technology, relate to a unidimensional or multidimensional phenomenon (2) the relationship among SES, social participation, self-rated-health and mental health; (3) whether social participation and mental health mediates the association between SES and self-rated-health; (4) whether social participation and self-rated-health mediates the links between SES and mental health.

Method

Cross-sectional data for individuals aged 35 and older were taken from the Israeli Social Survey for 2016 (N = 4848). Social participation practices included connection with family and friends, self-perceived-support, self-perceived trust, volunteering, civic and political involvement, and information and communication technology usage. An exploratory factor analysis was conducted for all social participation practices. We then constructed structural Equation Modeling (SEM) to explore paths of relations among SES, social participation, self-rated-health and mental health.

Results

We found disparities in self-rated health and mental health across SES. Social participation practice, ‘frequency of meeting with friends’, mediated the links between SES-self-rated health and SES-mental health. Formal social participation practices along with internet usage mediated the SES- self-rated health link. Informal social participation practices and self-perceived trust mediated the SES-mental health link. Mental health mediated the SES- self-rated health link and self-rated health mediated the SES-mental health link.

Conclusion

The links between SES and the two health constructs were enhanced by common and distinct social participation practices. Enhancement of social participation practices among low SES individuals is recommended. Social participation should be a prominent aspect of preventive medicine practice and health promotion interventions. Policy makers are called to support such programs as an important way to promote public health.

Causes of Socioeconomic Disparities in Colorectal Cancer and Intervention Framework and Strategies

Colorectal cancer (CRC) disproportionately affects people from low socioeconomic backgrounds and some racial minorities. Disparities in CRC incidence and outcomes might result from differences in exposure to risk factors such as unhealthy diet and sedentary lifestyle; limited access to risk-reducing behaviors such as chemoprevention, screening, and follow-up of abnormal test results; or lack of access to high-quality treatment resources. These factors operate at the individual, provider, health system, community, and policy levels to perpetuate CRC disparities. However, CRC disparities can be eliminated. Addressing the complex factors that contribute to development and progression of CRC with multicomponent, adaptive interventions, at multiple levels of the care continuum, can reduce gaps in mortality. These might be addressed with a combination of health care and community-based interventions and policy changes that promote healthy behaviors and ensure access to high-quality and effective measures for CRC prevention, diagnosis, and treatment. Improving resources and coordinating efforts in communities where people of low socioeconomic status live and work would increase access to evidence-based interventions. Research is also needed to understand the role and potential mechanisms by which factors in diet, intestinal microbiome, and/or inflammation contribute to differences in colorectal carcinogenesis. Studies of large cohorts with diverse populations are needed to identify epidemiologic and molecular factors that contribute to CRC development in different populations.

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.

Modifiable Failures in the Colorectal Cancer Screening Process and Their Association With Risk of Death

BACKGROUND & AIMS

Colorectal cancer (CRC) deaths occur when patients do not receive screening or have inadequate follow-up of abnormal results or when the screening test fails. We have few data on the contribution of each to CRC-associated deaths or factors associated with these events.

METHODS

We performed a retrospective cohort study of patients in the Kaiser Permanente Northern and Southern California systems (55-90 years old) who died of CRC from 2006 through 2012 and had ≥5 years of enrollment before diagnosis. We compared data from patients with those from a matched cohort of cancer-free patients in the same system. Receipt, results, indications, and follow-up of CRC tests in the 10-year period before diagnosis were obtained from electronic databases and chart audits.

RESULTS

Of 1750 CRC deaths, 75.9% (n = 1328) occurred in patients who were not up to date in screening and 24.1% (n = 422) occurred in patients who were up to date. Failure to screen was associated with fewer visits to primary care physicians. Of 3486 cancer-free patients, 44.6% were up to date in their screening. Patients who were up to date in their screening had a lower risk of CRC death (odds ratio, 0.38; 95% confidence interval, 0.33-0.44). Failure to screen, or failure to screen at appropriate intervals, occurred in a 67.8% of patients who died of CRC vs 53.2% of cancer-free patients; failure to follow-up on abnormal results occurred in 8.1% of patients who died of CRC vs 2.2% of cancer-free patients. CRC death was associated with higher odds of failure to screen or failure to screen at appropriate intervals (odds ratio, 2.40; 95% confidence interval, 2.07-2.77) and failure to follow-up on abnormal results (odds ratio, 7.26; 95% confidence interval, 5.26-10.03).

CONCLUSIONS

Being up to date on screening substantially decreases the risk of CRC death. In 2 health care systems with high rates of screening, most people who died of CRC had failures in the screening process that could be rectified, such as failure to follow-up on abnormal findings; these significantly increased the risk for CRC death.

Ten-year change in neighborhood socioeconomic status and colorectal cancer

BACKGROUND

A growing body of research has demonstrated that individuals who live in neighborhoods with more severe socioeconomic deprivation may have higher risks for colorectal cancer (CRC). However, previous studies have examined neighborhood socioeconomic status (SES) at only 1 point in time, and it is unclear whether changes in neighborhood SES also can influence the risks of CRC.

METHODS

Cox regression analysis was used to examine different trajectories of change in neighborhood SES over 10 years in relation to the incidence of CRC among 266,804 participants (ages 51-70 years) in the National Institutes of Health-AARP Diet and Health Study. Eligible participants reported living in the same neighborhood at baseline (1995-1996) and from 2004 to 2006 according to a follow-up questionnaire. Changes in neighborhood SES were measured between 1990 and 2000 by SES indices derived from Census data. Neighborhoods were grouped into 4 categories based on median SES indices in 1990 and 2000 (low-low, low-high, high-low, and high-high).

RESULTS

Compared with residents whose neighborhoods were in the higher SES group at both time points (reference category), those whose neighborhoods were consistently in the low SES group had a 7% higher risk of developing CRC (hazard ratio, 1.07; 95% confidence interval, 1.00-1.14). Moreover, the risk of CRC was 15% higher (hazard ratio, 1.15; 95% confidence interval, 1.02-1.28) for those living in neighborhoods with decreasing SES (high-low) over time.

CONCLUSIONS

The current findings suggest that exposure to consistently low SES neighborhoods and/or a decrease in neighborhood SES over a period of time may be associated with higher risks of CRC.

A prospective investigation of neighborhood socioeconomic deprivation and physical activity and sedentary behavior in older adults

Neighborhood conditions may have an important impact on physical activity and sedentary behaviors in the older population. Most previous studies in this area are cross-sectional and report mixed findings regarding the effects of neighborhood environment on different types of physical activity. Moreover, little is known about the prospective relationship between neighborhood environment and sedentary behaviors. Our analysis included 136,526 participants from the NIH-AARP Diet and Health Study (age 51-70). Neighborhood socioeconomic deprivation was measured with an index based on census variables and developed using principal component analysis. Physical activity and sedentary behaviors were measured both at baseline (1995-1996) and follow-up (2004-2006). Multiple regression analyses were conducted to examine the prospective relationship between neighborhood deprivation and exercise, non-exercise physical activity, and sedentary behaviors, adjusting for baseline physical activity and sedentary behaviors as well as potential confounders. We found that more severe neighborhood socioeconomic deprivation was prospectively associated with reduced time for exercise (β _Q5 vs _Q1 (95% confidence interval), hour, -0.85 (-0.95, -0.75)) but increased time spent in non-exercise physical activities (1.16 (0.97, 1.34)), such as household activities, outdoor chores, and walking for transportation. Moreover, people from more deprived neighborhoods were also more likely to engage in prolonged (≥5 h/day) TV viewing (Odds ratio _Q5 vs _Q1 (95% confidence interval), 1.21 (1.15, 1.27)). In conclusion, neighborhood socioeconomic deprivation is associated with physical activity and sedentary behavior in the older population. These associations may differ for different types of physical activities.

Effectiveness of screening colonoscopy in reducing the risk of death from right and left colon cancer: a large community-based study

OBJECTIVE

Screening colonoscopy's effectiveness in reducing colorectal cancer mortality risk in community populations is unclear, particularly for right-colon cancers, leading to recommendations against its use for screening in some countries. This study aimed to determine whether, among average-risk people, receipt of screening colonoscopy reduces the risk of dying from both right-colon and left-colon/rectal cancers.

DESIGN

We conducted a nested case-control study with incidence-density matching in screening-eligible Kaiser Permanente members. Patients who were 55-90 years old on their colorectal cancer death date during 2006-2012 were matched on diagnosis (reference) date to controls on age, sex, health plan enrolment duration and geographical region. We excluded patients at increased colorectal cancer risk, or with prior colorectal cancer diagnosis or colectomy. The association between screening colonoscopy receipt in the 10-year period before the reference date and colorectal cancer death risk was evaluated while accounting for other screening exposures.

RESULTS

We analysed 1747 patients who died from colorectal cancer and 3460 colorectal cancer-free controls. Compared with no endoscopic screening, receipt of a screening colonoscopy was associated with a 67% reduction in the risk of death from any colorectal cancer (adjusted OR (aOR)=0.33, 95% CI 0.21 to 0.52). By cancer location, screening colonoscopy was associated with a 65% reduction in risk of death for right-colon cancers (aOR=0.35, CI 0.18 to 0.65) and a 75% reduction for left-colon/rectal cancers (aOR=0.25, CI 0.12 to 0.53).

CONCLUSIONS

Screening colonoscopy was associated with a substantial and comparably decreased mortality risk for both right-sided and left-sided cancers within a large community-based population.

Associations Between Neighborhood Environment, Health Behaviors, and Mortality

INTRODUCTION

Considering the joint association of neighborhood socioeconomic environment and individual-level health behaviors with health outcomes may help officials design effective disease prevention strategies. This study evaluates the joint influences of neighborhood socioeconomic environment and individual health behaviors on mortality in a cohort primarily comprising people with low individual-level SES.

METHODS

The prospective Southern Community Cohort Study includes 77,896 white and African American participants recruited in the years 2002-2009; 55% of participants had a household income <$15,000 at baseline interview. Mortality from cancer (n=2,471), cardiovascular diseases (n=3,005), and all-causes (n=10,099) was identified from the National Death Index through December 31, 2013 (median follow-up, 8 years). Data were analyzed in 2016 and 2017. Associations were assessed between mortality, a neighborhood deprivation index composed of 11 census tract-level variables, five health behaviors, and a composite healthy lifestyle score.

RESULTS

Living in a neighborhood with the greatest socioeconomic disadvantage was associated with higher all-cause mortality in both men (hazard ratio=1.41, 95% CI=1.27, 1.57) and women (hazard ratio=1.77, 95% CI=1.57, 2.00). Associations were attenuated after adjustment for individual-level SES and major risk factors (hazard ratio for men=1.09, 95% CI=0.98, 1.22, and hazard ratio for women=1.26, 95% CI=1.12, 1.42). The dose-response association between neighborhood disadvantage and mortality was less apparent among smokers. Nevertheless, individuals who lived in disadvantaged neighborhoods and had the unhealthiest lifestyle scores experienced the highest mortality.

CONCLUSIONS

Disadvantaged neighborhood socioeconomic environments are associated with increased mortality in a cohort of individuals of low SES. Positive individual-level health behaviors may help negate the adverse effect of disadvantage on mortality.

How poverty affects diet to shape the microbiota and chronic disease

Here, we discuss the link between nutrition, non-communicable chronic diseases and socio-economic standing, with a special focus on the microbiota. We provide a theoretical framework and several lines of evidence from both animal and human studies that support the idea that income inequality is an underlying factor for the maladaptive changes seen in the microbiota in certain populations. We propose that this contributes to the health disparities that are seen between lower-income and higher-income populations in high-income countries.

Neighborhood Socioeconomic Deprivation and Weight Change in a Large U.S. Cohort

INTRODUCTION

Both excessive weight gain and weight loss are important risk factors in the older population. Neighborhood environment may play an important role in weight change, but neighborhood effects on weight gain and weight loss have not been studied separately. This study examined the associations between neighborhood socioeconomic deprivation and excessive weight gain and weight loss.

METHODS

This analysis included 153,690 men and 105,179 women (aged 51-70 years). Baseline addresses were geocoded into geographic coordinates and linked to the 2000 U.S. Census at the Census tract level. Census variables were used to generate a socioeconomic deprivation index by principle component analysis. Excessive weight gain and loss were defined as gaining or losing >10% of baseline (1995-1996) body weight at follow-up (2004-2006). The analysis was performed in 2015.

RESULTS

More severe neighborhood socioeconomic deprivation was associated with higher risks of both excessive weight gain and weight loss after adjusting for individual indicators of SES, disease conditions, and lifestyle factors (Quintile 5 vs Quintile 1: weight gain, OR=1.36, 95% CI=1.28, 1.45 for men and OR=1.20, 95% CI=1.13, 1.27 for women; weight loss, OR=1.09, 95%% CI=1.02, 1.17 for men and OR=1.23, 95% CI=1.14, 1.32 for women). The findings were fairly consistent across subpopulations with different demographics and lifestyle factors.

CONCLUSIONS

Neighborhood socioeconomic deprivation predicts higher risk of excessive weight gain and weight loss.

Regional socioeconomic disparities in outcomes for workers with low back pain in the United States

BACKGROUND

Although regional socioeconomic (SE) factors have been associated with worse health outcomes, prior studies have not addressed important confounders or work disability.

METHODS

A national sample of 59 360 workers' compensation (WC) cases to evaluate impact of regional SE factors on medical costs and length of disability (LOD) in occupational low back pain (LBP).

RESULTS

Lower neighborhood median household incomes (MHI) and higher state unemployment rates were associated with longer LOD. Medical costs were lower in states with more workers receiving Social Security Disability, and in areas with lower MHI, but this varied in magnitude and direction among neighborhoods. Medical costs were higher in more urban, more racially diverse, and lower education neighborhoods.

CONCLUSIONS

Regional SE disparities in medical costs and LOD occur even when health insurance, health care availability, and indemnity benefits are similar. Results suggest opportunities to improve care and disability outcomes through targeted health care and disability interventions.

The Association Between Neighborhood Environment and Mortality: Results from a National Study of Veterans

BACKGROUND

As the largest integrated US health system, the Veterans Health Administration (VHA) provides unique national data to expand knowledge about the association between neighborhood socioeconomic status (NSES) and health. Although living in areas of lower NSES has been associated with higher mortality, previous studies have been limited to higher-income, less diverse populations than those who receive VHA care.

OBJECTIVE

To describe the association between NSES and all-cause mortality in a national sample of veterans enrolled in VHA primary care.

DESIGN

One-year observational cohort of veterans who were alive on December 31, 2011. Data on individual veterans (vital status, and clinical and demographic characteristics) were abstracted from the VHA Corporate Data Warehouse. Census tract information was obtained from the US Census Bureau American Community Survey. Logistic regression was used to model the association between NSES deciles and all-cause mortality during 2012, adjusting for individual-level income and demographics, and accounting for spatial autocorrelation.

PARTICIPANTS

Veterans who had vital status, demographic, and NSES data, and who were both assigned a primary care physician and alive on December 31, 2011 (n = 4,814,631).

MAIN MEASURES

Census tracts were used as proxies for neighborhoods. A summary score based on census tract data characterized NSES. Veteran addresses were geocoded and linked to census tract NSES scores. Census tracts were divided into NSES deciles.

KEY RESULTS

In adjusted analysis, veterans living in the lowest-decile NSES tract were 10 % (OR 1.10, 95 % CI 1.07, 1.14) more likely to die than those living in the highest-decile NSES tract.

CONCLUSIONS

Lower neighborhood SES is associated with all-cause mortality among veterans after adjusting for individual-level socioeconomic characteristics. NSES should be considered in risk adjustment models for veteran mortality, and may need to be incorporated into strategies aimed at improving veteran health.

Interactive Effects of Aerobic Fitness, Strength, and Obesity on Mortality in Men

INTRODUCTION

Low aerobic fitness, low muscular strength, and obesity have been associated with premature mortality, but their interactive effects are unknown. This study examined interactions among these common, modifiable factors, to help inform more-effective preventive interventions.

METHODS

This national cohort study included all 1,547,478 military conscripts in Sweden during 1969-1997 (97%-98% of all men aged 18 years each year). Aerobic fitness, muscular strength, and BMI measurements were examined in relation to all-cause and cardiovascular mortality through 2012 (maximum age, 62 years). Data were collected/analyzed in 2015-2016.

RESULTS

Low aerobic fitness, low muscular strength, and obesity at age 18 years were independently associated with higher all-cause and cardiovascular mortality in adulthood. The combination of low aerobic fitness and muscular strength (lowest versus highest tertiles) was associated with twofold all-cause mortality (adjusted hazard ratio=2.01; 95% CI=1.93, 2.08; p<0.001; mortality rates per 100,000 person years, 247.2 vs 73.8), and 2.6-fold cardiovascular mortality (2.63; 95% CI=2.38, 2.91; p<0.001; 43.9 vs 8.3). These factors also had positive additive and multiplicative interactions in relation to all-cause mortality (their combined effect exceeded the sum or product of their separate effects; p<0.001), and were associated with higher mortality even among men with normal BMI.

CONCLUSIONS

Low aerobic fitness, low muscular strength, and obesity at age 18 years were associated with increased mortality in adulthood, with interactive effects between aerobic fitness and muscular strength. Preventive interventions should begin early in life and include both aerobic fitness and muscular strength, even among those with normal BMI.

Perceptions of Factors Impacting Longevity among Hawai'i Older Adults

With increased life expectancy, people need more education about healthy aging. This paper examines older adult perceptions regarding various factors impacting longevity, including genetics, lifestyle, and the environment. Data were collected from 733 Hawai'i adults age 50 years and older (39% Caucasian, 27% Japanese, 19% Native Hawaiian and Pacific Islander (NHOPI), 9% Chinese, and 7% Filipino) through randomized telephone interviews. Participants were asked to rate a variety of factors as having "great impact," "some impact," or "no impact" on lifespan. Regardless of ethnicity, more than half of the participants felt that eating habits, exercise, health information, health care, and the environment had great impact on lifespan. Less than half felt that economic status and community had great impact. Compared to the all ethnic groups, Filipino respondents were significantly less likely to feel that smoking (44%, compared with an average across all race/ethnicities of 64%) and stress (48%, average 62%) had great impact. Chinese participants were more likely to feel that drinking alcohol (64%) had great impact (average 38%). Filipinos and Chinese were more likely to perceive that working conditions have great impact (65% and 56%, respectively; average 45%), and NHOPI and Filipinos were more likely to perceive the natural environment as having great impact (59% and 54%, respectively; average 46%). Findings suggest that cultural values and experiences may shape older adults' perceptions of factors associated with lifespan, providing guidance for health professionals on how to tailor health messages to older adults in different ethnic groups.

A prospective investigation of neighborhood socioeconomic deprivation and self-rated health in a large US cohort

BACKGROUND

Neighborhood characteristics play a critical role in health. Self-rated health (SRH) is an important indicator of quality of life and a strong predictor of premature death. Prospective study on neighborhood deprivation and SRH is limited.

METHODS

We examined neighborhood socioeconomic deprivation with reporting fair/poor SRH at follow-up (2004-2006) in 249,265 men and women (age 50-71) who reported SRH as good or better at baseline (1995-1996) in the NIH-AARP Health and Diet Study. Baseline addresses were geocoded and linked to 2000 Census. Census tract level variables were used to generate a socioeconomic deprivation index by principle component analysis.

RESULTS

Residents of more deprived neighborhoods had a higher risk of developing poor/fair SRH at follow-up, even after adjusting for individual-level factors (Odds ratio (95% confidence interval) _{Q5 vs Q1}: 1.26 (1.20, 1.32), p-trend: <0.0001). The results were largely consistent across subgroups with different demographics, health behaviors, and disease conditions and after excluding participants who moved away from their baseline address.

CONCLUSION

Neighborhood disadvantage predicts SRH over 10 years.

In Their Own Words: Exploring Family Pathways to Housing Instability

Housing instability threatens the health and well-being of millions of families across the United States, yet little is known about the characteristics or housing trajectories of at-risk families. To address this gap in our understanding of family risk for housing instability and homelessness, we undertook a qualitative descriptive study utilizing a convenience sample of 16 mothers recruited from a housing service agency living in Detroit and receiving emergency services to avoid homelessness. Participants completed the Brief Patient Health Questionnaire (PHQ), then narrated their life events and reasons for housing instability and disclosed desired interventions for homelessness prevention. Data analysis reveals that women experienced high rates of previously undisclosed trauma, broken family relationships, early parenting responsibilities, social isolation, and system failures that contributed to recurrent episodes of housing instability. We argue that housing instability is a symptom of multiple chronic underlying issues that need more than a temporary financial patch.

Cumulative Effects of Growing Up in Separate and Unequal Neighborhoods on Racial Disparities in Self-rated Health in Early Adulthood

Evidence suggests that living in a socioeconomically deprived neighborhood is associated with worse health. Yet most research relies on cross-sectional data, which implicitly ignore variation in longer-term exposure that may be more consequential for health. Using data from the 1970 to 2011 waves of the Panel Study of Income Dynamics merged with census data on respondents' neighborhoods (N = 1,757), this study estimates a marginal structural model with inverse probability of treatment and censoring weights to examine: (1) whether cumulative exposure to neighborhood disadvantage from birth through age 17 affects self-rated health in early adulthood, and (2) the extent to which variation in such exposure helps to explain racial disparities therein. Findings reveal that prolonged exposure to neighborhood disadvantage throughout childhood and adolescence is strikingly more common among nonwhite versus white respondents and is associated with significantly greater odds of experiencing an incidence of fair or poor health in early adulthood.

Statistical Assessment of Neighborhood Socioeconomic Deprivation Environment in Spatial Epidemiologic Studies

Neighborhood socioeconomic deprivation has been associated with health behaviors and outcomes. However, neighborhood socioeconomic status has been measured inconsistently across studies. It remains unclear whether appropriate socioeconomic indicators vary over geographic areas and geographic levels. The aim of this study is to compare the composite socioeconomic index to six socioeconomic indicators reflecting different aspects of socioeconomic environment by both geographic areas and levels. Using 2000 U.S. Census data, we performed a multivariate common factor analysis to identify significant socioeconomic resources and constructed 12 composite indexes at the county, the census tract, and the block group levels across the nation and for three states, respectively. We assessed the agreement between composite indexes and single socioeconomic variables. The component of the composite index varied across geographic areas. At a specific geographic region, the component of the composite index was similar at the levels of census tracts and block groups but different from that at the county level. The percentage of population below federal poverty line was a significant contributor to the composite index, regardless of geographic areas and levels. Compared with non-component socioeconomic indicators, component variables were more agreeable to the composite index. Based on these findings, we conclude that a composite index is better as a measure of neighborhood socioeconomic deprivation than a single indicator, and it should be constructed on an area- and unit-specific basis to accurately identify and quantify small-area socioeconomic inequalities over a specific study region.

Gestational Weight Gain and Health Outcomes 18 Years Later in Urban Black Women

OBJECTIVES

Excessive gestational weight gain (GWG) is associated with higher body mass index (BMI) later in life. Increased BMI is associated with health problems, but there is limited evidence linking GWG directly to later health in black women. We examined the association between GWG and health conditions 18 years after a first birth.

METHODS

This study was a secondary data analysis of 467 urban black women, enrolled during pregnancy (1990-1991). GWG was the difference between self-reported pre-pregnancy weight and measured weight at delivery. Hypertension, diabetes, obesity, and self-reported health were assessed with self-report and measurements of blood pressure, height, and weight, approximately 18 years after first childbirth.

RESULTS

Higher pre-pregnancy BMI was associated with increased probability of each health condition. Higher GWG was associated with hypertension for women with a pre-pregnancy BMI under 21.3 kg/m(2) (P < .05) and obesity for women with a pre-pregnancy BMI under 25.9 kg/m(2) (P < .05). Diabetes and poor health were not associated with GWG.

CONCLUSIONS

GWG may impact a mother's hypertension and obesity status 18 years after childbirth for underweight and normal weight women.

Neighborhood Socioeconomic Status in Relation to All-Cause, Cancer, and Cardiovascular Mortality in the Black Women's Health Study

BACKGROUND

Neighborhood socioeconomic status (SES) is associated with adverse health outcomes, but longitudinal data among Black Americans, who tend to live in more deprived neighborhoods, is lacking.

OBJECTIVE

We prospectively assessed the relation of neighborhood SES to mortality in the Black Women's Health Study.

DESIGN

A prospective cohort of 59,000 Black women was followed from 1995-2011. Participant addresses were geocoded and US Census block group was identified. Neighborhood SES was measured by a score based on US Census block group data for six indicators of income, education and wealth.

MAIN OUTCOME MEASURES

Deaths were identified through the National Death Index. Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% CIs with control for covariates.

RESULTS

Based on 2,598 deaths during 1995-2011, lower neighborhood SES was associated with increased all-cause and cancer mortality irrespective of individual education: among those with 16 or more years of education, HRs for lowest relative to highest neighborhood SES quartile were 1.42 (95% CI 1.18-1.71) for all-cause and 1.54 (95% CI 1.14-2.07) for cancer mortality. Neighborhood SES was associated with cardiovascular mortality among less-educated women.

CONCLUSIONS

Lower neighborhood SES is associated with greater risk of mortality among Black women. The presence of the association even among women with high levels of education suggests that individual SES may not overcome the unfavorable influence of neighborhood deprivation.

A discrete-time analysis of the effects of more prolonged exposure to neighborhood poverty on the risk of smoking initiation by age 25

Evidence suggests that individuals who initiate smoking at younger ages are at increased risk for future tobacco dependence and continued use as well as for numerous smoking-attributable health problems. Identifying individual, household, and to a far lesser extent, contextual factors that predict early cigarette use has garnered considerable attention over the last several decades. However, the majority of scholarship in this area has been cross-sectional or conducted over relatively short windows of observation. Few studies have investigated the effects of more prolonged exposure to smoking-related risk factors, particularly neighborhood characteristics, from childhood through early adulthood. Using the 1970-2011 waves of the Panel Study of Income Dynamics merged with census data on respondents' neighborhoods, this study estimates a series of race-specific discrete-time marginal structural logit models for the risk of smoking initiation as a function of neighborhood poverty, as well as individual and household characteristics, from ages four through 25. Neighborhood selection bias is addressed using inverse-probability-of-treatment weights. Results indicate that more prolonged exposure to high (>20%) as opposed to low (<10%) poverty neighborhoods is associated with an increased risk of smoking onset by age 25, although consistent with prior literature, this effect is only evident among white and not nonwhite youth and young adults.

The Effect of Commuting Patterns on HIV Care Attendance Among Men Who Have Sex With Men (MSM) in Atlanta, Georgia

Background

Travel-related barriers to human immunodeficiency virus (HIV) care, such as commute time and mode of transportation, have been reported in the United States.

Objective

The objective of the study was to investigate the association between public transportation use and HIV care attendance among a convenience sample of Atlanta-based, HIV-positive men who have sex with men (MSM), evaluate differences across regions of residence, and estimate the relationship between travel distance and time by mode of transportation taken to attend appointments.

Methods

We used Poisson regression to estimate the association between use of public transportation to attend HIV-related medical visits and frequency of care attendance over the previous 12 months. The relationship between travel distance and commute time was estimated using linear regression. Kriging was used to interpolate commute time to visually examine geographic differences in commuting patterns in relation to access to public transportation and population-based estimates of household vehicle ownership.

Results

Using public transportation was associated with lower rates of HIV care attendance compared to using private transportation, but only in south Atlanta (south: aRR: 0.75, 95% CI 0.56, 1.0, north: aRR: 0.90, 95% CI 0.71, 1.1). Participants living in south Atlanta were more likely to have longer commute times associated with attending HIV visits, have greater access to public transportation, and may live in areas with low vehicle ownership. A majority of attended HIV providers were located in north and central Atlanta, despite there being participants living all across the city. Estimated commute times per mile traveled were three times as high among public transit users compared to private transportation users.

Conclusions

Improving local public transit and implementing use of mobile clinics could help address travel-related barriers to HIV care.

The influence of neighborhood socioeconomic status and race on survival from ovarian cancer: a population-based analysis of Cook County, Illinois

PURPOSE

Despite significant improvements in treatment for ovarian cancer, survival is poorer for non-Hispanic black (NHB) women compared to non-Hispanic white (NHW) women. Neighborhood socioeconomic status (SES) has been implicated in racial disparities across a variety of health outcomes and may similarly contribute to racial disparities in ovarian cancer survival. The purpose of this analysis is to assess the influence of neighborhood SES on NHB-NHW survival differences after accounting for differences in tumor characteristics and in treatment.

METHODS

Data were obtained from 2432 women (443 NHB and 1989 NHW) diagnosed with epithelial ovarian cancer in Cook County, Illinois between 1998 and 2007. Neighborhood (i.e., census tract) SES at the time of diagnosis was calculated for each woman using two well-established composite measures of affluence and disadvantage. Cox proportional hazard models measured the association between NHB race and survival after adjusting for age, tumor characteristics, treatment, year of diagnosis, and neighborhood SES.

RESULTS

There was a strong association between ovarian cancer survival and both measures of neighborhood SES (P < .0001 for both affluence and disadvantage). After adjusting for age, tumor characteristics, treatment, and year of diagnosis, NHB were more likely than NHW to die of ovarian cancer (hazard ratio [HR] = 1.47, 95% confidence interval [CI]: 1.28-1.68). The inclusion of neighborhood affluence and disadvantage into models separately and together attenuated this risk (HRaffluence = 1.37, 95% CI: 1.18-1.58; HRdisadvantage = 1.28, 95% CI: 1.08-1.52; and HRaffluence + disadvantage = 1.28, 95% CI: 1.08-1.52.

CONCLUSIONS

Neighborhood SES, as measured by composite measures of affluence and disadvantage, is a predictor of survival in women diagnosed with ovarian cancer in Cook County, Illinois and may contribute to the racial disparity in survival.

Socioeconomic inequalities show remarkably poor association with health and disease in Southern Croatia

OBJECTIVES

This study aimed at investigating the association of socioeconomic status and health outcomes in populations of the two remote Croatian islands and one coastal city.

METHODS

Medical history and survey information were used to create 33 variables that were analysed using logistic regression. The population from the island of Vis was followed up and mortality data were used to calculate hazard ratios using Cox regression.

RESULTS

Socioeconomic inequalities were poorly associated with health and disease indices. In the matrix of 33 outcome variables and 13 socioeconomic predictor classes, only 10 associations were significant at the level of P < 0.001. None of the associations was replicated across samples. We did not detect the association of any socioeconomic estimate with mortality data for the island of Vis.

CONCLUSIONS

Homogenous island populations were expected to have greater levels of social homogeneity and consequently less expressed inequalities in health. The lack of stronger association in the urban population of Split is likely the result of the mechanisms that persisted from the former communist regime and high level of retained formal and informal social support.

A new reliable index to measure individual deprivation: the EPICES score

BACKGROUND

Deprivation is associated with inequalities in health care and higher morbidity and mortality. To assess the reliability of a new individual deprivation score, the EPICES score and to analyse the association between the Townsend index, the Carstairs index and the EPICES score and causes of death in one French administrative region.

METHODS

Eligible patients were 16 years old or more who had come for consultation in Health Examination Centres of the French administrative region of Nord-Pas-de-Calais. An ecological study was performed between 2002 and 2007 in the 392 districts of this administrative region. The EPICES score was compared with the Townsend and the Carstairs indices. These three measurements of deprivation were compared with social characteristics, indicators of morbidity, health-care use and mortality and specific causes of death. The Pearson correlation coefficients were calculated to assess the reliability of the EPICES score. The association between deprivation and mortality was assessed by comparison of the standardized mortality ratio (SMR) between the most and least deprived districts.

RESULTS

The EPICES score was strongly correlated with the Townsend and Carstairs indices and with the health indicators measured. SMR increased with deprivation and the higher the deprivation the higher the SMR for all-cause mortality, premature and avoidable deaths and for most specific causes of death.

CONCLUSION

The individual deprivation EPICES score is reliable. Deprivation was related to excess death rate, which clearly indicates that deprivation is a determinant factor that should be considered systematically by health policy makers and health-care providers.

A population-based study of premature mortality in relation to neighbourhood density of alcohol sales and cheque cashing outlets in Toronto, Canada

OBJECTIVE

Alcohol overuse and poverty, each associated with premature death, often exist within disadvantaged neighbourhoods. Cheque cashing places (CCPs) may be opportunistically placed in disadvantaged neighbourhoods, where customers abound. We explored whether neighbourhood density of CCPs and alcohol outlets are each related to premature mortality among adults.

DESIGN

Retrospective population-based study.

SETTING

140 neighbourhoods in Toronto, Ontario, 2005-2009.

PARTICIPANTS

Adults aged 20-59 years.

MEASURES

Our primary outcome was premature all-cause mortality among adults aged 20-59 years. Across neighbourhoods we explored neighbourhood density, in km(2), of CCPs and alcohol outlets, and the relation of each to premature mortality. Poisson regression provided adjusted relative risks (aRRs) and 95% CIs, adjusting for material deprivation quintile (Q), crime Q and number of banks.

RESULTS

Intentional self-harm, accidental poisoning and liver disease were among the top five causes of premature death among males aged 20-59 years. The overall premature mortality rate was 96.3/10,000 males and 55.9/10,000 females. Comparing the highest versus lowest CCP density Q, the aRR for death was 1.25 (95% CI 1.15 to 1.36) among males and 1.11 (95% CI 0.99 to 1.24) among females. The corresponding aRR comparing the highest Q versus lowest Q alcohol outlet density in relation to premature mortality was 1.36 (95% CI 1.25 to 1.48) for males and 1.11 (95% CI 1.00 to 1.24) for females. The pattern of the relation between either CCPs or alcohol outlet density and premature mortality was typically J shaped.

CONCLUSIONS

There is a J-shaped relation between CCP or alcohol outlet density and premature mortality, even on controlling for conventional measures of poverty. Formal banking and alcohol reduction strategies might be added to health promotion policies aimed at reducing premature mortality in highly affected neighbourhoods.

Socioeconomic status, race, and mortality: a prospective cohort study

OBJECTIVES

We evaluated the independent and joint effects of race, individual socioeconomic status (SES), and neighborhood SES on mortality risk.

METHODS

We conducted a prospective analysis involving 52 965 non-Hispanic Black and 23 592 non-Hispanic White adults taking part in the Southern Community Cohort Study. Cox proportional hazards modeling was used to determine associations of race and SES with all-cause and cause-specific mortality.

RESULTS

In our cohort, wherein Blacks and Whites had similar individual SES, Blacks were less likely than Whites to die during the follow-up period (hazard ratio [HR] = 0.78; 95% confidence interval [CI] = 0.73, 0.84). Low household income was a strong predictor of all-cause mortality among both Blacks and Whites (HR = 1.76; 95% CI = 1.45, 2.12). Being in the lowest (vs highest) category with respect to both individual and neighborhood SES was associated with a nearly 3-fold increase in all-cause mortality risk (HR = 2.76; 95% CI = 1.99, 3.84). There was no significant mortality-related interaction between individual SES and neighborhood SES among either Blacks or Whites.

CONCLUSIONS

SES is a strong predictor of premature mortality, and the independent associations of individual SES and neighborhood SES with mortality risk are similar for Blacks and Whites.

A pooled analysis of body mass index and mortality among African Americans

Pooled analyses among whites and East Asians have demonstrated positive associations between all-cause mortality and body mass index (BMI), but studies of African Americans have yielded less consistent results. We examined the association between BMI and all-cause mortality in a sample of African Americans pooled from seven prospective cohort studies: NIH-AARP, 1995-2009; Adventist Health Study 2, 2002-2008; Black Women's Health Study, 1995-2009; Cancer Prevention Study II, 1982-2008; Multiethnic Cohort Study, 1993-2007; Prostate, Lung, Colorectal and Ovarian Screening Trial, 1993-2009; Southern Community Cohort Study, 2002-2009. 239,526 African Americans (including 100,175 never smokers without baseline heart disease, stroke, or cancer), age 30-104 (mean 52) and 71% female, were followed up to 26.5 years (mean 11.7). Hazard ratios (HR) and 95% confidence intervals (CI) for mortality were derived from multivariate Cox proportional hazards models. Among healthy, never smokers (11,386 deaths), HRs (CI) for BMI 25-27.4, 27.5-29.9, 30-34.9, 35-39.9, 40-49.9, and 50-60 kg/m(2) were 1.02 (0.92-1.12), 1.06 (0.95-1.18), 1.32 (1.18-1.47), 1.54 (1.29-1.83), 1.93 (1.46-2.56), and 1.93 (0.80-4.69), respectively among men and 1.06 (0.99-1.15), 1.15 (1.06-1.25), 1.24 (1.15-1.34), 1.58 (1.43-1.74), 1.80 (1.60-2.02), and 2.31 (1.74-3.07) respectively among women (reference category 22.5-24.9). HRs were highest among those with the highest educational attainment, longest follow-up, and for cardiovascular disease mortality. Obesity was associated with a higher risk of mortality in African Americans, similar to that observed in pooled analyses of whites and East Asians. This study provides compelling evidence to support public health efforts to prevent excess weight gain and obesity in African Americans.

Premature mortality due to social and material deprivation in Nova Scotia, Canada

INTRODUCTION

Inequalities in health attributable to inequalities in society have long been recognized. Typically, those most privileged experience better health, regardless of universal access to health care. Associations between social and material deprivation and mortality from all causes of death--a measure of population health, have been described for some regions of Canada. This study further examines the link between deprivation and health, focusing on major causes of mortality for both rural and urban populations. In addition, it quantifies the burden of premature mortality attributable to social and material deprivation in a Canadian setting where health care is accessible to all.

METHODS

The study included 35,266 premature deaths (1995-2005), grouped into five causes and aggregated over census dissemination areas. Two indices of deprivation (social and material) were derived from six socioeconomic census variables. Premature mortality was modeled as a function of these deprivation indices using Poisson regression.

RESULTS

Premature mortality increased significantly with increasing levels of social and material deprivation. The impact of material deprivation on premature mortality was similar in urban and rural populations, whereas the impact of social deprivation was generally greater in rural populations. There were a doubling in premature mortality for those experiencing a combination of the most extreme levels of material and social deprivation.

CONCLUSIONS

Socioeconomic deprivation is an important determinant of health equity and affects every segment of the population. Deprivation accounted for 40% of premature deaths. The 4.3% of the study population living in extreme levels of socioeconomic deprivation experienced a twofold increased risk of dying prematurely. Nationally, this inequitable risk could translate into a significant public health burden.

Assessing environmental support for better health: active living opportunity audits in rural communities in the southern United States

OBJECTIVE

Leisure-time physical activity in the United States is lower rural areas and the South and has been linked to socioeconomic and environmental aspects of where people live. The purpose of this study is to assess the built environment and policies for physical activity in rural communities.

METHODS

Eight rural communities in Alabama and Mississippi were assessed in 2011 using the Rural Active Living Assessment (RALA) street segment (SSA), town-wide (TWA), and town program and policies (PPA) assessment tools. Community Health Advisors Trained as Research Partners (CHARPS) and local staff conducted the assessments. The TWA and PPA were scored by domain and total scores. Data were analyzed using descriptive and nonparametric statistics.

RESULTS

117 segments were assessed in 22 towns in 8 counties. Built environmental barriers existed in all communities. Sidewalks were available in only 10-40% of the segments. TWA identified parks and playgrounds as the most available community feature. PPA scores indicated few policies for physical activity outside of school settings with mean scores higher in Mississippi compared to Alabama (61 vs. 49, respectively).

CONCLUSIONS

Multiple components of rural communities can be successfully assessed by CHARPs using RALA tools, providing information about resources and barriers for physical activity.

A prospective cohort study of body size and risk of head and neck cancers in the NIH-AARP diet and health study

BACKGROUND

The association between body size and head and neck cancers (HNCA) is unclear, partly because of the biases in case-control studies.

METHODS

In the prospective NIH-AARP cohort study, 218,854 participants (132,288 men and 86,566 women), aged 50 to 71 years, were cancer free at baseline (1995 and 1996), and had valid anthropometric data. Cox proportional hazards regression was used to examine the associations between body size and HNCA, adjusted for current and past smoking habits, alcohol intake, education, race, and fruit and vegetable consumption, and reported as HR and 95% confidence intervals (CI).

RESULTS

Until December 31, 2006, 779 incident HNCAs occurred: 342 in the oral cavity, 120 in the oro- and hypopharynx, 265 in the larynx, 12 in the nasopharynx, and 40 at overlapping sites. There was an inverse association between HNCA and body mass index, which was almost exclusively among current smokers (HR = 0.76 per each 5 U increase; 95% CI, 0.63-0.93), and diminished as initial years of follow-up were excluded. We observed a direct association with waist-to-hip ratio (HR = 1.16 per 0.1 U increase; 95% CI, 1.03-1.31), particularly for cancers of the oral cavity (HR, 1.40; 95% CI, 1.17-1.67). Height was also directly associated with total HNCAs (P = 0.02), and oro- and hypopharyngeal cancers (P < 0.01).

CONCLUSIONS

The risk of HNCAs was associated inversely with leanness among current smokers, and directly with abdominal obesity and height.

IMPACT

Our study provides evidence that the association between leanness and risk of HNCAs may be due to effect modification by smoking.