Social capital, income inequality, and mortality

OBJECTIVES

Recent studies have demonstrated that income inequality is related to mortality rates. It was hypothesized, in this study, that income inequality is related to reduction in social cohesion and that disinvestment in social capital is in turn associated with increased mortality.

METHODS

In this cross-sectional ecologic study based on data from 39 states, social capital was measured by weighted responses to two items from the General Social Survey: per capita density of membership in voluntary groups in each state and level of social trust, as gauged by the proportion of residents in each state who believed that people could be trusted. Age-standardized total and cause-specific mortality rates in 1990 were obtained for each state.

RESULTS

Income inequality was strongly correlated with both per capita group membership (r = -.46) and lack of social trust (r = .76). In turn, both social trust and group membership were associated with total mortality, as well as rates of death from coronary heart disease, malignant neoplasms, and infant mortality.

CONCLUSIONS

These data support the notion that income inequality leads to increased mortality via disinvestment in social capital.

Social capital: a guide to its measurement

The primary aims of this paper are to review the concept of social capital and related constructs and to provide a brief guide to their operationalization and measurement. We focus on four existing constructs: collective efficacy, psychological sense of community, neighborhood cohesion and community competence. Each of these constructs taps into slightly different, yet overlapping, aspects of social capital. The existence of several instruments to measure each of these constructs calls for further study into their use as measures of social capital. Despite differences in the approach to measurement, there is general agreement that community characteristics, such as social capital, should be distinguished from individual characteristics and measured at the community level.

Future directions in residential segregation and health research: a multilevel approach

The authors examine the research evidence on the effect of residential segregation on health, identify research gaps, and propose new research directions. Four recommendations are made on the basis of a review of the sociological and social epidemiology literature on residential segregation: (1) develop multilevel research designs to examine the effects of individual, neighborhood, and metropolitan-area factors on health outcomes; (2) continue examining the health effects of residential segregation among African Americans but also initiate studies examining segregation among Hispanics and Asians; (3) consider racial/ethnic segregation along with income segregation and other metropolitan area factors such as poverty concentration and metropolitan governance fragmentation; and (4) develop better conceptual frameworks of the pathways that may link various segregation dimensions to specific health outcomes.

Social capital and neighborhood mortality rates in Chicago

Several empirical studies have suggested that neighborhood characteristics influence health, with most studies having focused on neighborhood deprivation or aspects of the physical environment, such as services and amenities. However, such physical characteristics are not the only features of neighborhoods that potentially affect health. Neighborhoods also matter because of the nature of their social organization. This study examined social capital as a potential neighborhood characteristic influencing health. Using a cross-sectional study design which linked counts of death for persons 45-64 years by race and sex to neighborhood indicators of social capital and poverty for 342 Chicago neighborhoods in the USA, we tested the ecological association between neighborhood-level social capital and mortality rates, taking advantage of the community survey data collected as part of the Project on Human Development in Chicago Neighborhoods. We estimated a hierarchical generalized linear model to examine the association of race and sex specific mortality rates to social capital. Overall, neighborhood social capital-as measured by reciprocity, trust, and civic participation-was associated with lower neighborhood death rates, after adjustment for neighborhood material deprivation. Specifically, higher levels of neighborhood social capital were associated with lower neighborhood death rates for total mortality as well as death from heart disease and "other" causes for White men and women and, to a less consistent extent, for Blacks. However, there was no association between social capital and cancer mortality. Although, the findings from this study extend the state-level findings linking social capital to health to the level of neighborhoods, much work remains to be carried out before social capital can be widely applied to improve population health, including establishing standards of measurement, and exploring the potential "downsides" of social capital.

Social capital, income inequality, and firearm violent crime

Studies have shown that poverty and income are powerful predictors of homicide and violent crime. We hypothesized that the effect of the growing gap between the rich and poor is mediated through an undermining of social cohesion, or social capital, and that decreased social capital is in turn associated with increased firearm homicide and violent crime. Social capital was measured by the weighted responses to two items from the U.S. General Social Survey: the per capita density of membership in voluntary groups in each state; and the level of social trust, as gauged by the proportion of residents in each state who believed that "most people would take advantage of you if they got the chance". Age-standardized firearm homicide rates for the years 1987-1991 and firearm robbery and assault incidence rates for years 1991-1994 were obtained for each of the 50 U.S. states. Income inequality was strongly correlated with firearm violent crime (firearm homicide, r = 0.76) as well as the measures of social capital: per capita group membership (r = -0.40) and lack of social trust (r = 0.73). In turn, both social trust (firearm homicide, r = 0.83) and group membership (firearm homicide, r = -0.49) were associated with firearm violent crime. These relationships held when controlling for poverty and a proxy variable for access to firearms. The profound effects of income inequality and social capital, when controlling for other factors such as poverty and firearm availability, on firearm violent crime indicate that policies that address these broader, macro-social forces warrant serious consideration.

Prevalence of dementia subtypes in United States Medicare fee-for-service beneficiaries, 2011-2013

INTRODUCTION

Rapid growth of the older adult population requires greater epidemiologic characterization of dementia. We developed national prevalence estimates of diagnosed dementia and subtypes in the highest risk United States (US) population.

METHODS

We analyzed Centers for Medicare & Medicaid administrative enrollment and claims data for 100% of Medicare fee-for-service beneficiaries enrolled during 2011-2013 and age ≥68 years as of December 31, 2013 (n = 21.6 million).

RESULTS

Over 3.1 million (14.4%) beneficiaries had a claim for a service and/or treatment for any dementia subtype. Dementia not otherwise specified was the most common diagnosis (present in 92.9%). The most common subtype was Alzheimer's (43.5%), followed by vascular (14.5%), Lewy body (5.4%), frontotemporal (1.0%), and alcohol induced (0.7%). The prevalence of other types of diagnosed dementia was 0.2%.

DISCUSSION

This study is the first to document concurrent prevalence of primary dementia subtypes among this US population. The findings can assist in prioritizing dementia research, clinical services, and caregiving resources.

Socioeconomic status and risk of diabetes-related mortality in the U.S

OBJECTIVE

We examined disparities in diabetes-related mortality for socioeconomic status (SES) groups in nationally representative U.S. samples.

METHODS

We analyzed National Health Interview Survey respondents linked to their death records and included those eligible for mortality follow-up who were aged 25 years and older at the time of interview and not missing information on covariates (n=527,426). We measured SES by education and family income. There were 5,613 diabetes-related deaths.

RESULTS

Having less than a high school education was associated with a twofold higher mortality from diabetes, after controlling for age, gender, race/ethnicity, marital status, and body mass index, compared with adults with a college degree or higher education level (relative hazard [RH] = 2.05, 95% confidence interval [CI] 1.78, 2.35). Having a family income below poverty level was associated with a twofold higher mortality after adjustments compared with adults with the highest family incomes (RH=2.41, 95% CI 2.05, 2.84). Approximately one-quarter of the excess risk among those in the lowest SES categories was explained by adjusting for potential confounders.

CONCLUSION

Findings from this nationally representative cohort demonstrate a socioeconomic gradient in diabetes-related mortality, with both education and income being important determinants of the risk of death.

Neighborhood differences in social capital: a compositional artifact or a contextual construct?

Assessment of social capital at the neighborhood level is often based on aggregating individual perceptions of trust and reciprocity. Individual perceptions, meanwhile, are influenced through a range of individual attributes. This paper examines the socioeconomic and demographic attributes that systematically correlate with individual perception of social capital and determines the extent to which such attributes account for neighborhood differences in social capital. Using improved multilevel modeling procedures, we ascertain the extent to which differences in social capital perception can be ascribed to true neighborhood-level variations. The analysis is based on the 1994-95 Community Survey of the Project on Human Development in Chicago Neighborhoods (PHDCN). The response measure is based on survey respondent's perceptions of whether people in their neighborhood can be trusted. The results suggest that even after accounting for individual demographic (age, sex, race, marital status) and socioeconomic characteristics (income, education), significant neighborhood differences remain in individual perceptions of trust, substantiating the notion of social capital as a true contextual construct.

State-level income inequality and individual mortality risk: a prospective, multilevel study

OBJECTIVES

Previous studies have linked state-level income inequality to mortality rates. However, it has been questioned whether the relationship is independent of individual-level income. The present study tests whether state-level income inequality is related to individual mortality risk, after adjustment for individual-level characteristics.

METHODS

In this prospective, multilevel study design, the vital status of National Health Interview Survey (NHIS) respondents was ascertained by linkage to the National Death Index, with additional linkage of state-level data to individuals in the NHIS. The analysis included data for 546,888 persons, with 19,379 deaths over the 8-year follow-up period. The Gini coefficient was used as the measure of income inequality.

RESULTS

Individuals living in high-income-inequality states were at increased risk of mortality (relative risk = 1.12; 95% confidence interval = 1.04, 1.19) compared with individuals living in low-income-inequality states. In stratified analyses, significant effects of state income inequality on mortality risk were found, primarily for near-poor Whites.

CONCLUSIONS

State-level income inequality appears to exert a contextual effect on mortality risk, after income is adjusted for, providing further evidence that the distribution of income is important for health.

Prevalence of multiple chronic conditions among Medicare beneficiaries, United States, 2010

Introduction

The increase in chronic health conditions among Medicare beneficiaries has implications for the Medicare system. The objective of this study was to use the US Department of Health and Human Services Strategic Framework on multiple chronic conditions as a basis to examine the prevalence of multiple chronic conditions among Medicare beneficiaries.

Methods

We analyzed Centers for Medicare and Medicaid Services administrative claims data for Medicare beneficiaries enrolled in the fee-for-service program in 2010. We included approximately 31 million Medicare beneficiaries and examined 15 chronic conditions. A beneficiary was considered to have a chronic condition if a Medicare claim indicated that the beneficiary received a service or treatment for the condition. We defined the prevalence of multiple chronic conditions as having 2 or more chronic conditions.

Results

Overall, 68.4% of Medicare beneficiaries had 2 or more chronic conditions and 36.4% had 4 or more chronic conditions. The prevalence of multiple chronic conditions increased with age and was more prevalent among women than men across all age groups. Non-Hispanic black and Hispanic women had the highest prevalence of 4 or more chronic conditions, whereas Asian or Pacific Islander men and women, in general, had the lowest.

Conclusion

The prevalence of multiple chronic conditions among the Medicare fee-for-service population varies across demographic groups. Multiple chronic conditions appear to be more prevalent among women, particularly non-Hispanic black and Hispanic women, and among beneficiaries eligible for both Medicare and Medicaid benefits. Our findings can help public health researchers target prevention and management strategies to improve care and reduce costs for people with multiple chronic conditions.

Metropolitan area income inequality and self-rated health--a multi-level study

We examined the association of income inequality measured at the metropolitan area (MA) and county levels with individual self-rated health. Individual-level data were drawn from 259,762 respondents to the March Current Population Survey in 1996 and 1998. Income inequality and average income were calculated from 1990 census data, the former using Gini coefficients. Multi-level logistic regression models were used. Controlling for sex, age, race, and individual-level household income, respondents living in high, medium-high, and medium-low income inequality MAs had odds ratios of fair/poor self-rated health of 1.20 (95% confidence interval 1.04-1.38), 1.07 (0.95-1.21), and 1.02 (0.91-1.15), respectively, compared to people living in the MAs with the lowest income inequality. However, we found only a small association of MA-level income inequality with fair/poor health when controlling further for average MA household income: odds ratios were 1.10 (0.95-1.28), 1.01 (0.89-1.14), and 1.00 (0.89-1.12), respectively. Likewise, we found only a small association of county-level income inequality with self-rated health although only 40.7% of the sample had an identified county on CPS data. Regarding the association of state-level income inequality with fair/poor health, we found the association to be considerably stronger among non-metropolitan (i.e. rural) compared to metropolitan residents.

Trends in COVID-19 Cases, Emergency Department Visits, and Hospital Admissions Among Children and Adolescents Aged 0-17 Years - United States, August 2020-August 2021

Although COVID-19 generally results in milder disease in children and adolescents than in adults, severe illness from COVID-19 can occur in children and adolescents and might require hospitalization and intensive care unit (ICU) support (1-3). It is not known whether the B.1.617.2 (Delta) variant,* which has been the predominant variant of SARS-CoV-2 (the virus that causes COVID-19) in the United States since late June 2021,^† causes different clinical outcomes in children and adolescents compared with variants that circulated earlier. To assess trends among children and adolescents, CDC analyzed new COVID-19 cases, emergency department (ED) visits with a COVID-19 diagnosis code, and hospital admissions of patients with confirmed COVID-19 among persons aged 0-17 years during August 1, 2020-August 27, 2021. Since July 2021, after Delta had become the predominant circulating variant, the rate of new COVID-19 cases and COVID-19-related ED visits increased for persons aged 0-4, 5-11, and 12-17 years, and hospital admissions of patients with confirmed COVID-19 increased for persons aged 0-17 years. Among persons aged 0-17 years during the most recent 2-week period (August 14-27, 2021), COVID-19-related ED visits and hospital admissions in the states with the lowest vaccination coverage were 3.4 and 3.7 times that in the states with the highest vaccination coverage, respectively. At selected hospitals, the proportion of COVID-19 patients aged 0-17 years who were admitted to an ICU ranged from 10% to 25% during August 2020-June 2021 and was 20% and 18% during July and August 2021, respectively. Broad, community-wide vaccination of all eligible persons is a critical component of mitigation strategies to protect pediatric populations from SARS-CoV-2 infection and severe COVID-19 illness.

Multiple chronic conditions among Medicare beneficiaries: state-level variations in prevalence, utilization, and cost, 2011

OBJECTIVES

Individuals with multiple (>2) chronic conditions (MCC) present many challenges to the health care system, such as effective coordination of care and cost containment. To assist health policy makers and to fill research gaps on MCC, we describe state-level variation of MCC among Medicare beneficiaries, with a focus on those with six or more conditions.

METHODS

Using Centers for Medicare & Medicaid Services administrative data for 2011, we characterized a beneficiary as having MCC by counting the number of conditions from a set of fifteen conditions, which were identified using diagnosis codes on the claims. The study population included fee-for-service beneficiaries residing in the 50 U.S. states and Washington, DC.

RESULTS

Among beneficiaries with six or more chronic conditions, prevalence rates were lowest in Alaska and Wyoming (7%) and highest in Florida and New Jersey (18%); readmission rates were lowest in Utah (19%) and highest in Washington, DC (31%); the number of emergency department visits per beneficiary were lowest in New York and Florida (1.6) and highest in Washington, DC (2.7); and Medicare spending per beneficiary was lowest in Hawaii ($24,086) and highest in Maryland, Washington, DC, and Louisiana (over $37,000).

CONCLUSION

These findings expand upon prior research on MCC among Medicare beneficiaries at the national level and demonstrate considerable state-level variation in the prevalence, health care utilization, and Medicare spending for beneficiaries with MCC. State-level data on MCC is important for decision making aimed at improved program planning, financing, and delivery of care for individuals with MCC.

The public-use National Health Interview Survey linked mortality files: methods of reidentification risk avoidance and comparative analysis

The National Center for Health Statistics (NCHS) conducts mortality follow-up for its major population-based surveys. In 2004, NCHS updated the mortality follow-up for the 1986-2000 National Health Interview Survey (NHIS) years, which because of confidentiality protections was made available only through the NCHS Research Data Center. In 2007, NCHS released a public-use version of the NHIS Linked Mortality Files that includes a limited amount of perturbed information for decedents. The modification of the public-use version included conducting a reidentification risk scenario to determine records at risk for reidentification and then imputing values for either date or cause of death for a select sample of records. To demonstrate the comparability between the public-use and restricted-use versions of the linked mortality files, the authors estimated relative hazards for all-cause and cause-specific mortality risk using a Cox proportional hazards model. The pooled 1986-2000 NHIS Linked Mortality Files contain 1,576,171 records and 120,765 deaths. The sample for the comparative analyses included 897,232 records and 114,264 deaths. The comparative analyses show that the two data files yield very similar results for both all-cause and cause-specific mortality. Analytical considerations when examining cause-specific analyses of numerically small demographic subgroups are addressed.

A novel set of hepatic mRNAs preferentially expressed during an acute inflammation in rat represents mostly intracellular proteins

A cloning of hepatic cDNAs associated with the early phase of an acute, systemic inflammation was carried out by differential screening of arrayed cDNA clones from rat livers obtained at 4-8 h postchallenge with Freund's complete adjuvant. End sequencing of 174 selected clones provided three cDNA groups that coded for: (i) 23 known acute-phase proteins, (ii) 31 known proteins whose change in hepatic synthesis during an acute phase was so far unsuspected, and (iii) 36 novel proteins whose cDNAs were completely sequenced. For 16 proteins in the third group the hepatic mRNA could be detected and quantitated by Northern blot hybridization in Freund's adjuvant-challenged animals, and an extrahepatic expression in healthy animals was further investigated. Matching the open reading frames of the 36 novel proteins with general and specialized data libraries indicated the potential relationships of 16 of these proteins with known protein families/superfamilies and/or the presence of functional domains previously described in other proteins. Overall, our search for novel inflammation-associated proteins selected mostly known or as yet undescribed proteins with an intracellular or membrane location, which extends our knowledge of the proteins involved in the intracellular metabolism of hepatic cells during a systemic, acute-phase response. Finally, some of the cDNAs above allowed us to successfully identify hepatic mRNAs that are differentially expressed in acute vs chronic (polyarthritis) inflammatory conditions in rat.

Phylloquinone, what can we learn from plants?

The plant plasma membrane contains redox proteins able to mediate a trans-membrane electron flow. This electron flow might be responsible for the generation of the active oxygen species observed as a reaction to pathogen attack or stress. Vitamin K1 could be identified as a possible lipid soluble electron carrier in plant plasma membrane preparations. Such a function would be analogous to coenzyme Q in animal plasma membranes. What we are going to outline in this contribution is a concept of how the electron transport system of the plant plasma membrane could interact with quinones, thus contributing to the metabolism of free radicals in plants.

Medicare claims versus beneficiary self-report for influenza vaccination surveillance

BACKGROUND

Although self-reported influenza vaccination status is routinely used in surveillance to estimate influenza vaccine coverage, Medicare data are becoming a promising resource for influenza surveillance to inform vaccination program management and planning.

PURPOSE

To evaluate the concordance between self-reported influenza vaccination and influenza vaccination claims among Medicare beneficiaries.

METHODS

This study compared influenza vaccination based upon Medicare claims and self-report among a sample of Medicare beneficiaries (N=9,378) from the 2011 Medicare Current Beneficiary Survey, which was the most recent year of data at the time of analysis (summer 2013). Sensitivity, specificity, positive predictive value, and negative predictive value were calculated using self-reported data as the referent standard. Logistic regression was used to compute the marginal mean proportions for whether a Medicare influenza vaccination claim was present among beneficiaries who reported receiving the vaccination.

RESULTS

Influenza vaccination was higher for self-report (69.4%) than Medicare claims (48.3%). For Medicare claims, sensitivity=67.5%, specificity=96.3%, positive predictive value=97.6%, and negative predictive value=56.7%. Among beneficiaries reporting receiving an influenza vaccination, the percentage of beneficiaries with a vaccination claim was lower for beneficiaries who were aged <65 years, male, non-Hispanic black or Hispanic, and had less than a college education.

CONCLUSIONS

The classification of influenza vaccination status for Medicare beneficiaries can differ based upon survey and claims. To improve Medicare claims-based surveillance studies, further research is needed to determine the sources of discordance in self-reported and Medicare claims data, specifically for sensitivity and negative predictive value.

Flu shots and the characteristics of unvaccinated elderly Medicare beneficiaries

KEY FINDINGS

Data from the Medicare Current Beneficiary Survey, 2009. • Overall, 73% of Medicare beneficiaries aged 65 years and older reported receiving a flu shot for the 2008 flu season, but vaccination rates varied by socio-demographic characteristics. Flu vaccination was lowest for beneficiaries aged 65-74 years old, who were non-Hispanic Blacks and Hispanics, were not married, had less than a high school education, or who were eligible for Medicaid (i.e., dual eligibles). • Healthcare utilization and personal health behavior were also related to vaccination rates, with current smokers and those with no hospitalizations or physician visits being less likely to be vaccinated. • Among those beneficiaries who reported receiving a flu shot, 59% received it in a physician's office or clinic, with the next most common setting being in the community (21%); e.g., grocery store, shopping mall, library, or church. • Among those beneficiaries who did not receive a flu shot, the most common reasons were beliefs that the shot could cause side effects or disease (20%), that they didn't think the shot could prevent the flu (17%), or that the shot wasn't needed (16%). Less than 1% reported that they didn't get the flu shot because of cost. Elderly persons (aged 65 years and older) are at increased risk of complications from influenza, with the majority of influenza-related hospitalizations and deaths occurring among the elderly (Fiore et al., 2010). Most physicians recommend their elderly patients get a flu shot each year, and many hospitals inquire about elderly patient's immunization status upon admission, providing a vaccination if requested. The importance of getting a flu shot is underscored by the Department of Health and Human Services' Healthy People initiative, which has set a vaccination goal of 90% for the Nation's elderly by the year 2020 (Department of Health and Human Services [DHHS], 2011). Although all costs related to flu shots are covered by Medicare, requiring no co-pay on the part of the beneficiary (Centers for Medicare and Medicaid Services, 2011), for the 2008 flu season, only 73% of non-institutionalized Medicare beneficiaries, aged 65 years and older, reported receiving one. This report presents the most recent data on flu vaccination rates among non-institutionalized elderly Medicare beneficiaries and their association with socio-demographic and personal health characteristics. The report also describes the places beneficiaries received their flu shot and, for those not getting vaccinated, the reasons reported for not doing so.

The Health Status of Women with Children Living in Public and Assisted Housing: Linkage of the National Health Interview Survey to U.S. Department of Housing and Urban Development Administrative Data

For more than a decade, the U.S. Department of Housing and Urban Development (HUD) and the National Center for Health Statistics (NCHS) have partnered to link NCHS national health survey data with HUD administrative records on persons participating in federal public and assisted housing programs. This study used 2015-18 National Health Interview Survey (NHIS)-HUD linked data to examine women 18-44 years old with children and renting their home who were receiving HUD assistance (n=852) and a comparison population of women of the same age with children, who were low-income renters but did not link to HUD records at the time of their NHIS interview (n=894). The population of HUD-assisted women differed from the comparison group on key sociodemographic characteristics and health indicators. HUD-assisted women were more likely to report their health as fair or poor and to being a current smoker. HUD-assisted women also were less likely to be uninsured and more likely to have a regular source of care. The findings in this article are exploratory but demonstrate how the NCHS-HUD-linked data can be a resource for researchers and policymakers in further examining housing status as an important social determinant of health.

(Dis)respect and black mortality

OBJECTIVES

A growing number of studies have documented the deleterious health consequences of the experience of racial discrimination in African Americans. The present study examined the association of racial prejudice--measured at a collective level--to black and white mortality across the United States.

METHODS

Cross-sectional ecologic study, based on data from 39 states. Collective disrespect was measured by weighted responses to a question on a national survey, which asked: "On the average blacks have worse jobs, income, and housing than white people. Do you think the differences are: (A) Mainly due to discrimination? (yes/no); (b) Because most blacks have less in-born ability to learn? (yes/no); (c) Because most blacks don't have the chance for education that it takes to rise out of poverty? (yes/no); and (d) Because most blacks just don't have the motivation or will power to pull themselves up out of poverty? (yes/no)." For each state, we calculated the percentage of respondents who answered in the affirmative to the above statements. Age-standardized total and cause-specific mortality rates in 1990 were obtained for each state.

RESULTS

Both measures of collective disrespect were strongly correlated with black mortality (r = 0.53 to 0.56), as well as with white mortality (r = 0.48 to 0.54). A 1 percent increase in the prevalence of those who believed that blacks lacked innate ability was associated with an increase in age-adjusted black mortality rate of 359.8 per 100,000 (95% confidence interval: 187.5 to 532.1 deaths per 100,000).

CONCLUSIONS

These data suggest that racism, measured as an ecologic characteristic, is associated with higher mortality in both blacks and whites.