The general social survey-national death index: an innovative new dataset for the social sciences

County-level political group density, partisan polarization, and individual-level mortality among adults in the United States: A lagged multilevel study

Objective

To investigate the associations between county-level political group density, partisan polarization, and individual-level mortality from all causes and from coronary heart disease (CHD) in the United States.

Methods

Using data from five survey waves (1998-2006) of the General Social Survey-National Death Index dataset and the County Presidential Election Return 2000 dataset, we fit weighted Cox proportional hazards models to estimate the associations between (1) political group density and (2) partisan polarization measured at the county level in 2000 (n = 313 counties) categorized into quartiles with individual-level mortality (n = 14,983 participants) from all causes and CHD, controlling for individual- and county-level factors. Maximum follow-up was from one year after the survey up until 2014. We conducted these analyses using two separate measures based on county-level vote share differences and party affiliation ideological extremes.

Results

In the overall sample, we found no evidence of associations between county-level political group density and individual-level mortality from all causes. There was evidence of a 13% higher risk of dying from heart disease in the highest quartile of county-level polarization (hazards ratio, HR = 1.13; 95% CI = 0.74-1.71). We observed heterogeneity of effects based on individual-level political affiliation. Among those identifying as Democrats, residing in counties with high (vs. low) levels of polarization appeared to be protective against mortality, with an associated 18% lower risk of dying from all causes (HR = 0.82, 95% CI = 0.71-0.94). This association was strongest in areas with the highest concentrations of Democrats.

Conclusions

Among all study participants, political group density and polarization at the county level in 2000 were not linked to individual-level mortality. At the same time, we found that Democratic party affiliation may be protective against the adverse effects of high polarization, particularly in counties with high concentrations of Democrats. Future research should further explore these associations to potentially identify new structural interventions to address political determinants of population health.

Immigration, Educational Attainment, and Subjective Health in the United States

Objectives

Although educational attainment is a major social determinant of health, according to Marginalization-related Diminished Returns (MDRs), the effect of education tends to be weaker for marginalized groups compared to the privileged groups. While we know more about marginalization due to race and ethnicity, limited information is available on MDRs of educational attainment among US immigrant individuals.

Aims

This study compared immigrant and non-immigrant US adults aged 18 and over for the effects of educational attainment on subjective health (self-rated health; SRH).

Methods

Data came from General Social Survey (GSS) that recruited a nationally representative sample of US adults from 1972 to 2022. Overall, GSS has enrolled 45,043 individuals who were either immigrant (4,247; 9.4%) and non-immigrant (40,796; 90.6%). The independent variable was educational attainment, the dependent variable was SRH (measured with a single item), confounders were age, gender, race, employment and marital status, and moderator was immigration (nativity) status.

Results

Higher educational attainment was associated with higher odds of good SRH (odds ratio OR = 2.08 for 12 years of education, OR = 2.81 for 13-15 years of education, OR = 4.38 for college graduation, and OR = 4.83 for graduate studies). However, we found significant statistical interaction between immigration status and college graduation on SRH, which was indicative of smaller association between college graduation and SRH for immigrant than non-immigrant US adults.

Conclusions

In line with MDRs, the association between educational attainment and SRH was weaker for immigrant than non-immigrant. It is essential to implement two sets of policies to achieve health inequalities among immigrant populations: policies that increase educational attainment of immigrants and those that increase the health returns of educational attainment for immigrants.

Political Person-Culture Match and Longevity: The Partisanship-Mortality Link Depends on the Cultural Context

Recent studies demonstrate that Republicans live longer than Democrats. We examined whether these longevity benefits are universal or culturally varying. Following a person-culture match perspective, we hypothesized that Republicans' longevity benefits occur in Republican, but not in Democratic, states. To test this argument, we conducted two studies among U.S. adults. In preregistered Study 1, we used large survey data (extended U.S. General Social Survey; N = 42,855). In confirmatory Study 2, we analyzed obituaries/biographies of deceased U.S. political partisans (novel data web-scraped from an online cemetery; N = 9,177). Both studies supported the person-culture match perspective with substantial effect sizes. In Republican contexts, up to 50.1% of all Republicans but only 36.3% of all Democrats reached an age of 80 years. In Democratic contexts, there was no such longevity gap. Robustness tests showed that this effect generalizes to political ideology and holds across spatial levels but is limited to persons with strong political convictions.

Is educational mobility harmful for health?

"Mobility effects" research to date provides mixed evidence about the health consequences of social mobility and pays limited attention to race differences in mobility effects. To address this gap in the literature, this study explores the association between downward mobility and upward mobility with health and how these associations vary between Black people and White people. Diagonal reference models are used to estimate the effects of intergenerational educational mobility on self-rated health and mortality using data from the U.S. General Social Survey (1972-2016) with linked mortality records (1978-2014). Results show that downward mobility is associated with worse self-rated health and higher mortality risk. Downward mobility appears more damaging to the health of White people relative to Black people. Upward mobility appears less beneficial to the health of Black people. These findings indicate that social mobility itself is consequential for health and suggest that downward mobility is detrimental to health.

Analytic Advances in Social Networks and Health in the Twenty-First Century

The study of social networks is increasingly central to health research for medical sociologists and scholars in other fields. Here, we review the innovations in theory, substance, data collection, and methodology that have propelled the study of social networks and health from a niche subfield to the center of larger sociological and scientific debates. In particular, we contextualize the broader history of network analysis and its connections to health research, concentrating on work beginning in the late 1990s, much of it in this journal. Using bibliometric and network visualization approaches, we examine the subfield's evolution over this period in terms of topics, trends, key debates, and core insights. We conclude by reflecting on persistent challenges and areas of innovation shaping the study of social networks and health and its intersection with medical sociology in the coming years.

The color of death: race, observed skin tone, and all-cause mortality in the United States

Objective: This paper examines how mortality covaries with observed skin tone among blacks and in relation to whites. Additionally, the study analyzes the extent to which social factors such as socioeconomic status affect this relationship. Design: This study uses data from the 1982 General Social Survey (N = 1,689) data linked to the National Death Index until 2008. We use this data to examine the links between race, observed skin tone among blacks, and all-cause mortality. Piecewise exponential hazard modeling was used to estimate disparities in skin tone mortality among blacks, and relative to whites. The multivariate models control for age, education, gender, region, metropolitan statistical area, marital status, labor force status, and household income. Results: Observed skin tone is a significant determinant of mortality among blacks and in relation to whites. Light skinned blacks had the lowest mortality hazards among blacks, while respondents with medium and dark brown skin experienced significantly higher mortality. The observed skin tone mortality disparities covaried with education; there are significant mortality disparities across observed skin tone groups among black respondents with high school or more education, and nonsignificant disparities among those with less education. Conclusion: It is crucial to identify the social processes driving racial disparities in health and mortality. The findings reveal that the nuanced social experiences of blacks with different observed skin tones markedly change the experience of racial inequality. Research on the nuanced social processes and biological mechanisms that connect differences in observed skin tone to mortality outcomes promises to better illuminate the experience of racial inequality and policy mechanisms we can use to undermine it.

Differences between blacks and whites in well-being, beliefs, emotional states, behaviors and survival, 1978-2014

Objectives

Material well-being, beliefs, and emotional states are believed to influence one’s health and longevity. In this paper, we explore racial differences in self-rated health, happiness, trust in others, feeling that society is fair, believing in God, frequency of sexual intercourse, educational attainment, and percent in poverty and their association with mortality.

Study designs

Age-period-cohort (APC) study.

Methods

Using data from the 1978–2014 General Social Survey-National Death Index (GSS-NDI), we conducted APC analyses using generalized linear models to quantify the temporal trends of racial differences in our selected measures of well-being, beliefs, and emotional states. We then conducted APC survival analysis using mixed-effects Cox proportional hazard models to quantify the temporal trends of racial differences in survival after removing the effects of racial differences in our selected measures.

Results

For whites, the decline in happiness was steeper than for blacks despite an increase in high school graduation rates among whites relative to blacks over the entire period, 1978–2010. Self-rated health increased in whites relative to blacks from 1978 through 1989 but underwent a relative decline thereafter. After adjusting for age, sex, period effects, and birth cohort effects, whites, overall, had higher rates of self-rated health (odds ratio [OR] = 1.88; 95% confidence interval [CI] = 1.63, 2.16), happiness (OR = 2.05; 1.77, 2.36), and high school graduation (OR = 2.88; 2.34, 3.53) compared with blacks. Self-rated health, happiness, and high school graduation also mediated racial differences in survival over time.

Conclusions

We showed that some racial differences in survival could be partly mitigated by eliminating racial differences in health, happiness, and educational attainment. Future research is needed to analyze longitudinal clusters and identify causal mechanisms by which social, behavioral, and economic interventions can reduce survival differences.

Beliefs About Suicide Acceptability in the United States: How Do They Affect Suicide Mortality?

OBJECTIVES

Societies develop cultural scripts to understand suicide and define conditions under which the act is acceptable. Prior empirical work suggests that such attitudes are important in understanding some forms of suicidal behavior among adolescents and high-risk populations. This study examines whether expressions of suicide acceptability under different circumstances are predictive of subsequent death by suicide in the general U.S. adult population and whether the effects differ over the life course.

METHOD

The study uses 1978-2010 General Social Survey data linked to the National Death Index through 2014 (n = 31,838). Cox survival models identify risk factors for suicide mortality, including attitudinal and cohort effects.

RESULTS

Expressions of suicide acceptability are predictive of subsequent death by suicide-in some cases associated with a twofold increase in risk. Attitudes elevate the suicide hazard among older (>55 years) adults but not among younger (ages 33-54) adults. Fully-adjusted models reveal that the effects of attitudes toward suicide acceptability on suicide mortality are strongest for social circumstances (family dishonor; bankruptcy).

DISCUSSION

Results point to the role of cultural factors and social attitudes in suicide. There may be utility in measuring attitudes in assessments of suicide risk.

The promise of big data for precision population health management in the US

OBJECTIVES

As we enter the year 2020, health data in the United States (US) is still in the process of being curated into a usable format. With coordinated data systems, it becomes possible to answer, with relative certainty, what preventive and medical interventions work in the real world and for whom they might work.

STUDY DESIGN

This is a non-systematic expert review.

METHODS

A non-systematic expert review was undertaken to identify relevant scientific and gray literature on the current state and the limitations of evaluation of health interventions and the health data infrastructure in the US. This review also included the literature on nations with unified data systems. We coupled this review with non-structured interviews of data scientists to gain insight into the progress in establishing the components necessary to support a unified data system and to facilitate data exchange for evaluations, as well as further guide our review. Our goal was to produce a critical analysis of the existing attempts to standardize and use data collected during patient encounters with physicians for public health purposes.

RESULTS

Data obtained from electronic health records are produced in a way that is challenging to use and difficult to compile across platforms in the US. One response to this problem has been to encourage the exchange and standardization of health record information through Distributed Research Networks and Common Data Models (CDMs). These data can be combined with mobile health, social media, and other sources of data to radically transform what we know about the prevention and management of disease. However, issues with the variety of CDMs and growing sense of distrust of institutions that maintain data continue to impede medical progress.

CONCLUSIONS

We present a framework for data use that will allow public health to answer a swath of unanswered research questions that can improve public health practice.

Structural stigma and all-cause mortality among sexual minorities: Differences by sexual behavior?

Using updated data from the General Social Survey/National Death Index (GSS/NDI) study, we examined whether the relationship between structural stigma-measured by aggregating 4 items assessing prejudice towards homosexuality to the community level-and all-cause mortality is present among gay men/lesbian women. Our hypothesis is based on emerging evidence that indicators of structural stigma specific to homosexuality, such as those used in the GSS/NDI, uniquely predict health outcomes among this group. Because the GSS/NDI lacked an identity-based measure of sexual orientation, we tested our hypothesis by employing a strategy that has a relatively high degree of sensitivity and specificity for ascertaining individuals most likely to identify as gay or lesbian: restricting analyses to individuals who reported same-sex sexual partners in the past year. We compared this approach against an alternative strategy, which has weaker specificity for identifying gay men/lesbian women: restricting analyses to individuals who reported any lifetime same-sex sexual behaviors. After controlling for 6 individual-level factors and fixed effects of survey year, structural stigma was associated with mortality among individuals who reported past-year same-sex sexual partners (HR = 1.95, 95% CI: 1.14, 3.31). Further, there was a dose-response relationship with mortality in this group, such that those residing in communities in the highest quartile of structural stigma had the greatest mortality risk, controlling for these same factors (HR = 2.12, 95% CI: 1.03, 4.38). In sensitivity analyses, the effect size for structural stigma ranged from 1.54 to 2.30, indicating a consistent, but small-to-moderate, effect. In contrast, no association between structural stigma and mortality was observed among respondents who reported lifetime same-sex sexual partners, nor among those reporting only opposite-sex sexual partners. This analysis therefore delimits potential boundary conditions of the association between structural stigma related to same-sex sexuality and all-cause mortality, highlighting the conditions under which this association is (and is not) observed.

Relational Social Class, Self-Rated Health, and Mortality in the United States

Applying a relational class theory based on property ownership, authority, and credentials/skill, we analyzed the relationship between class, self-rated health (SRH), and mortality using the 1972–2016 General Social Survey. In a simple measure of class, we assigned respondents to worker, manager, petty bourgeois, or capitalist classes. In a complex measure, we subdivided workers (less-skilled/more-skilled), managers (low/high), and capitalists (small/large). Next, we estimated trends in class structure. Finally, after gender-stratification, we estimated the relationships between class, SRH, and mortality and, in sensitivity analyses, tested for class-by-race interaction. Class structure changed little over time, with workers constituting over half the population each decade. Concerning SRH, for the simple measure, managers, petty bourgeoisie, and capitalists reported better health than workers. For the complex measure, patterns were similar, although skilled workers reported better health than less-skilled workers, low managers, and petty bourgeoisie. Concerning mortality, for the simple measure, inequities were small among women; among men, only capitalists’ hazard was lower than workers’ hazard. For the complex measure, across genders, the hazards of less-skilled workers and petty bourgeoisie were highest, while skilled workers’ hazard resembled that of managers and capitalists. Finally, we found some evidence that the relationship between class and mortality varied by race, although the estimates were imprecise.

Using the General Social Survey - National Death Index cohort to study the relationship between neighbourhood fear and mortality in the USA

OBJECTIVES

Fear of crime is associated with adverse mental health outcomes and reduced social interaction independent of crime. Because mental health and social interactions are associated with poor physical health, fear of crime may also be associated with death. The main objective is to determine whether neighbourhood fear is associated with time to death.

SETTING AND PARTICIPANTS

Data from the 1978-2008 General Social Survey were linked to mortality data using the National Death Index (GSS-NDI) (n=20 297).

METHODS

GSS-NDI data were analysed to assess the relationship between fear of crime at baseline and time to death among adults after removing violent deaths. Fear was measured by asking respondents if they were afraid to walk alone at night within a mile of their home. Crude and adjusted HRs were calculated using survival analysis to calculate time to death. Analyses were stratified by sex.

RESULTS

Among those who responded that they were fearful of walking in their neighbourhood at night, there was a 6% increased risk of death during follow-up in the adjusted model though this was not significant (HR=1.06, 95% CI 0.99 to 1.13). In the fully adjusted models examining risk of mortality stratified by sex, findings were significant among men but not women. Among men, in the adjusted model, there was an 8% increased risk of death during follow-up among those who experienced fear at baseline in comparison with those who did not experience fear (HR=1.08, 95% CI 1.02 to 1.14).

CONCLUSIONS

Research has recently begun examining fear as a public health issue. With an identified relationship with mortality among men, this is a potential public health problem that must be examined more fully.

Comparability of Mortality Estimates from Social Surveys and Vital Statistics Data in the United States

Social surveys prospectively linked with death records provide invaluable opportunities for the study of the relationship between social and economic circumstances and mortality. Although survey-linked mortality files play a prominent role in U.S. health disparities research, it is unclear how well mortality estimates from these datasets align with one another and whether they are comparable with U.S. vital statistics data. We conduct the first study that systematically compares mortality estimates from several widely-used survey-linked mortality files and U.S. vital statistics data. Our results show that mortality rates and life expectancies from the National Health Interview Survey Linked Mortality Files, Health and Retirement Study, Americans' Changing Lives study, and U.S. vital statistics data are similar. Mortality rates are slightly lower and life expectancies are slightly higher in these linked datasets relative to vital statistics data. Compared with vital statistics and other survey-linked datasets, General Social Survey-National Death Index life expectancy estimates are much lower at younger adult ages and much higher at older adult ages. Cox proportional hazard models regressing all-cause mortality risk on age, gender, race, educational attainment, and marital status conceal the issues with the General Social Survey-National Death Index that are observed in our comparison of absolute measures of mortality risk. We provide recommendations for researchers who use survey-linked mortality files.

Trust and all-cause mortality: a multilevel study of US General Social Survey data (1978-2010)

Background

Within public health research, generalised trust has been considered an independent predictor of morbidity and mortality for over two decades. However, there are no population-based studies that have scrutinised both contextual-level and individual-level effects of generalised trust on all-cause mortality. We, therefore, aim to investigate such associations by using pooled nationally representative US General Social Survey (GSS) data linked to the National Death Register (NDI).

Methods

The combined GSS–NDI data from the USA have 90 contextual units. Our sample consisted of 25 270 respondents from 1972 to 2010, with 6424 recorded deaths by 2014. We used multilevel parametric Weibull survival models reporting HRs and 95% CI (credible intervals for Bayesian analysis). Individual-level and contextual-level generalised trust were the exposures of interest; covariates included age, race, gender, marital status, education and household income.

Results

We found a robust, significant impact of individual-level and contextual-level trust on mortality (HR=0.92, 95% CI 0.88 to 0.97; and HR=0.96, 95% CI 0.93 to 0.98, respectively). There were no discernible gender differences. Neither did we observe any significant cross-level interactions.

Conclusion

High levels of individual and contextual generalised trust protect against mortality, even after considering numerous individual and aggregated socioeconomic conditions. Its robustness at both levels hints at the importance of psychosocial mechanisms, as well as a trustworthy environment. Declining trust levels across the USA should be of concern; decision makers should consider direct and indirect effects of policy on trust with the view to halting this decline.

An examination of the prospective association between religious service attendance and suicide: Explanatory factors and period effects

BACKGROUND

We addressed two unanswered questions from prior research, demonstrating a prospective association between frequent religious service attendance and decreased risk for suicide. First, we assessed whether religious service attendance conferred protection from suicide even after accounting for strength of religious affiliation. Second, we evaluated whether the relationship between religious service attendance and suicide was subject to period effects.

METHODS

Data were drawn from the 1978-2010 General Social Survey, a nationally representative study of 30,650 non-institutionalized, English-speaking American residents age 18 or older. Data were linked with the National Death Index through the end of 2014. We analyzed these data using moderated Cox proportional hazard analyses.

RESULTS

Religious affiliation had no relationship with suicide. Religious service attendance only had a protective effect against suicide death among those in later (2000-2010) rather than earlier (1998 and earlier) data collection periods.

LIMITATIONS

Secondary analysis of data limited the types of variables that were available.

CONCLUSIONS

The protective nature of religion is due more to participating in religious activities, such as attending religious services, than to having a strong religious affiliation, and this effect exists primarily in more recent data collection periods.

Sociodemographic Correlates of Sexlessness Among American Adults and Associations with Self-Reported Happiness Levels: Evidence from the U.S. General Social Survey

Although sexual activity is commonly believed to be a key component of emotional well-being, little is known about the factors associated with the absence of sexual activity or its associations with self-reported happiness. Using the U.S. General Social Survey-National Death Index 2008 dataset, a series of nationally representative surveys (1988-2002), this study analyzed the sociodemographic and lifestyle factors associated with past-year sexlessness and self-reported happiness among American adults (n = 17,744). After adjustment for marital status, there were no significant time trends evident in the proportion of American adults reporting past-year sexlessness. Among participants (age = 18-89 years), 15.2% of males and 26.7% of females reported past-year sexlessness while 8.7% of males and 17.5% of females reported no sex for 5 years or more. For both genders, past-year sexlessness was most strongly associated with older age and being currently non-married in the multivariable models. Among males, the multivariable analysis also showed that sexlessness was associated with providing less than 20% of the household income (OR 2.27). In female participants, sexlessness was associated with very low income, poor health, lower financial satisfaction, absence of children, and having conservative sexual attitudes (OR 1.46-3.60). For both genders, Black race was associated with a much lower likelihood of sexlessness among currently non-married adults. The purported detrimental impact of sexlessness on self-reported happiness levels was not evident in this large, nationally representative study after adjusting for sociodemographic factors. Sexless Americans reported very similar happiness levels as their sexually active counterparts.

Subjective assessments of income and social class on health and survival: An enigma

We examined the association between various measures of subjective social class identification (SSCI) and self-rated health as well as survival using the 2014 General Social Survey-National Death Index dataset (n = 21,108). We used multinomial logistic regression models to assess the association between SSCI and self-rated health and used Cox proportional hazards to assess the association between SSCI and survival. All analyses were adjusted for age, year at interview, race, gender, family income, and educational attainment level. The measures of SSCI that we had available were strongly correlated with self-rated health after controlling for objective measures of social status. For example, those who saw themselves as lower class were nine times as likely to self-report poor rather than excellent health status (odds ratio = 8.69; 95% confidence interval = 5.04-14.98) compared with those saw themselves as upper class. However, no such associations were observed for survival. While our alternative measures of SSCI were important predictors of self-rated health, they were not predictive of survival. This suggests that there may be potential confounding between two perceptions: SSCI and self-rated health.

Brief report: How short is too short? An ultra-brief measure of the big-five personality domains implicates "agreeableness" as a risk for all-cause mortality

Controversy exists over the use of brief Big Five scales in health studies. We investigated links between an ultra-brief measure, the Big Five Inventory-10, and mortality in the General Social Survey. The Agreeableness scale was associated with elevated mortality risk (hazard ratio = 1.26, p = .017). This effect was attributable to the reversed-scored item “Tends to find fault with others,” so that greater fault-finding predicted lower mortality risk. The Conscientiousness scale approached meta-analytic estimates, which were not precise enough for significance. Those seeking Big Five measurement in health studies should be aware that the Big Five Inventory-10 may yield unusual results.

Community-level prejudice and mortality among immigrant groups

This study assesses whether anti-immigrant prejudice at the community level is prospectively associated with mortality. We used 10 waves of data from the General Social Survey (GSS) that were linked to mortality data via the National Death Index (NDI) for the period between 1993 and 2014 (n = 13,242). The 2014 GSS-NDI dataset is a nationally representative sample reporting social characteristics and attitudes in the United States that was prospectively linked to mortality data. Community-level prejudice was measured with 5 questions regarding anti-immigrant sentiments across 123 communities, defined using primary sampling units. Cox proportional hazards models tested the association between anti-immigrant prejudice and mortality hazard, controlling for covariates at the individual and community levels. Findings showed that among "other race" respondents, those born in the US had higher risk of mortality in communities with greater anti-immigrant prejudice, whereas foreign-born "other race" respondents had lower risk of mortality in communities with greater anti-immigrant prejudice. Sensitivity analyses indicated that the "other race" category was comprised largely of Asians and Hispanics, and that these results were similar for both groups. In contrast, anti-immigrant prejudice was not associated with mortality for foreign-born immigrants who self-report as white or black. We provide various hypotheses for why US-born immigrant groups seem to suffer higher mortality risk, while foreign-born immigrant groups do not, when they live in communities with high levels of prejudice.

The Intergenerational Transfer of Education Credentials and Health: Evidence from the 2008 General Social Survey-National Death Index

BACKGROUND

The educational attainment of a parent is a powerful predictor of children's wellbeing, but little is known about why this is the case.

METHODS

We used the 2008 General Social Survey to explore factors that may explain the relationship between one's father's education and one's own mortality. These include (1) intellectual traits, (2) material wellbeing, (3) psychological characteristics, (4) personality characteristics, and (5) social capital.

RESULTS

The education credentials of one's father are significantly associated with one's risk of death. The strongest mediators are own educational attainment, family income, home ownership, and subjective socioeconomic status. To a lesser extent, respondents' happiness with friends and family and social bonding were also pathways.

CONCLUSIONS

A father's educational attainment appears to influence his children's health, and may do so not only by improving the child's material circumstances but also through his or her educational attainment and other psychological and social characteristics.

Religious Affiliation, Religious Service Attendance, and Mortality

Very few studies have examined the effects of both religious affiliation and religiosity on mortality at the same time, and studies employing multiple dimensions of religiosity other than religious attendance are rare. Using the newly created General Social Survey-National Death Index data, our report contributes to the religion and mortality literature by examining religious affiliation and religiosity at the same time. Compared to Mainline Protestants, Catholics, Jews, and other religious groups have lower risk of death, but Black Protestants, Evangelical Protestants, and even those with no religious affiliation are not different from Mainline Protestants. While our study is consistent with previous findings that religious attendance leads to a reduction in mortality, we did not find other religious measures, such as strength of religious affiliation, frequency of praying, belief in an afterlife, and belief in God to be associated with mortality. We also find interaction effects between religious affiliation and attendance. The lowest mortality of Jews and other religious groups is more apparent for those with lower religious attendance. Thus, our result may emphasize the need for other research to focus on the effects of religious group and religious attendance on mortality at the same time.

Happiness and longevity in the United States

This is the first study to our knowledge to examine the relationship between happiness and longevity among a nationally representative sample of adults. We use the recently-released General Social Survey-National Death Index dataset and Cox proportional hazards models to reveal that overall happiness is related to longer lives among U.S. adults. Indeed, compared to very happy people, the risk of death over the follow-up period is 6% (95% CI 1.01-1.11) higher among individuals who are pretty happy and 14% (95% CI 1.06-1.22) higher among those who are not happy, net of marital status, socioeconomic status, census division, and religious attendance. This study provides support for happiness as a stand-alone indicator of well-being that should be used more widely in social science and health research.

Effects of Racial Prejudice on the Health of Communities: A Multilevel Survival Analysis

OBJECTIVES

We examined whether and how racial prejudice at both the individual and community levels contributes to mortality risk among majority as well as minority group members.

METHODS

We used data on racial attitudes from the General Social Survey (1993-2002) prospectively linked to mortality data from the National Death Index through 2008.

RESULTS

Whites and Blacks living in communities with higher levels of racial prejudice were at an elevated risk of mortality, independent of individual and community sociodemographic characteristics and individually held racist beliefs (odds ratio = 1.24; 95% confidence interval = 1.04, 1.49). Living in a highly prejudiced community had similar harmful effects among both Blacks and Whites. Furthermore, the interaction observed between individual- and community-level racial prejudice indicated that respondents with higher levels of racial prejudice had lower survival rates if they lived in communities with low degrees of racial prejudice. Community-level social capital explained the relationship between community racial prejudice and mortality.

CONCLUSIONS

Community-level racial prejudice may disrupt social capital, and reduced social capital is associated with increased mortality risk among both Whites and Blacks. Our results contribute to an emerging body of literature documenting the negative consequences of prejudice for population health.

Religion, Self-Rated Health, and Mortality

Existing research, mostly based on the data from the United States, suggests that religiosity contributes to better health and longevity. This article explores the association between religiosity and self-rated health across 59 countries and shows that the positive association between religiosity and self-rated health is an exception found in a relatively small number of countries. Consistent with the person–culture fit literature, Study 1 shows that in countries in which religiosity represents a social norm (i.e., it is common and socially desirable), religious individuals report better subjective health than nonreligious individuals. Study 2 demonstrates that even within the United States, the association of religiosity with self-rated health as well as with reduced mortality largely depends on the regional level of religiosity, suggesting that the health and longevity benefits of religiosity are restricted to highly religious regions.

Mortality risks among persons reporting same-sex sexual partners: evidence from the 2008 General Social Survey-National Death Index data set

OBJECTIVES

We investigated the possibility that men who have sex with men (MSM) and women who have sex with women (WSW) may be at higher risk for early mortality associated with suicide and other sexual orientation-associated health risks.

METHODS

We used data from the 1988-2002 General Social Surveys, with respondents followed up for mortality status as of December 31, 2008. The surveys included 17 886 persons aged 18 years or older, who reported at least 1 lifetime sexual partner. Of these, 853 reported any same-sex partners; 17 033 reported only different-sex partners. Using gender-stratified analyses, we compared these 2 groups for all-cause mortality and HIV-, suicide-, and breast cancer-related mortality.

RESULTS

The WSW evidenced greater risk for suicide mortality than presumptively heterosexual women, but there was no evidence of similar sexual orientation-associated risk among men. All-cause mortality did not appear to differ by sexual orientation among either women or men. HIV-related deaths were not elevated among MSM or breast cancer deaths among WSW.

CONCLUSIONS

The elevated suicide mortality risk observed among WSW partially confirms public health concerns that sexual minorities experience greater burden from suicide-related mortality.

Political party affiliation, political ideology and mortality

BACKGROUND

Ecological and cross-sectional studies have indicated that conservative political ideology is associated with better health. Longitudinal analyses of mortality are needed because subjective assessments of ideology may confound subjective assessments of health, particularly in cross-sectional analyses.

METHODS

Data were derived from the 2008 General Social Survey-National Death Index data set. Cox proportional analysis models were used to determine whether political party affiliation or political ideology was associated with time to death. Also, we attempted to identify whether self-reported happiness and self-rated health acted as mediators between political beliefs and time to death.

RESULTS

In this analysis of 32,830 participants and a total follow-up time of 498,845 person-years, we find that political party affiliation and political ideology are associated with mortality. However, with the exception of independents (adjusted HR (AHR)=0.93, 95% CI 0.90 to 0.97), political party differences are explained by the participants' underlying sociodemographic characteristics. With respect to ideology, conservatives (AHR=1.06, 95% CI 1.01 to 1.12) and moderates (AHR=1.06, 95% CI 1.01 to 1.11) are at greater risk for mortality during follow-up than liberals.

CONCLUSIONS

Political party affiliation and political ideology appear to be different predictors of mortality.

Exploring Prospective Predictors of Illicit Drug-Toxicity Deaths: Evidence From the General Social Survey

BACKGROUND

This study was based on over 30,000 U.S. respondents who completed General Social Surveys between 1978 and 2002.

AIMS

We approached these respondents prospectively, comparing and contrasting the responses of those who subsequently died from drug-poisonings (N = 135) with all respondents who were still living, N = 23,559.

METHOD

We employed cross-tabulation and logistic regression analyses to test for statistically significant differences between drug-poisoning death casualties and all living respondents.

RESULTS

Consistent with past research findings, younger males were over-represented among drug death casualties. Also consistent with past studies, drug casualties showed evidence of perceiving themselves as socially marginalized in comparison to living respondents: More reported themselves in poorer health, as having been sexual minority members during the last 5 years, as having spent their younger years in homes where parents' marriages disrupted, with fewer owning homes and feeling less satisfied about their financial situations.

CONCLUSIONS

These exploratory findings obtained from a general population survey reinforce findings from clinical studies and help advance clinical assessments of potential at-risk individuals who might be identified sooner, lest they succumb to future fatal drug poisonings.

Measurement confounding affects the extent to which verbal IQ explains social gradients in mortality

BACKGROUND

IQ is thought to explain social gradients in mortality. IQ scores are based roughly equally on Verbal IQ (VIQ) and Performance IQ tests. VIQ tests, however, are suspected to confound true verbal ability with socioeconomic status (SES), raising the possibility that associations between SES and IQ scores might be overestimated. We examined, first, whether two of the most common types of VIQ tests exhibited differential item functioning (DIF) favouring persons of higher SES and/or majority race/ethnicity. Second, we assessed what impact, if any, this had on estimates of the extent to which VIQ explains social gradients in mortality.

METHODS

Data from the General Social Survey-National Death Index cohort, a US population representative dataset, was used. Item response theory models queried social-factor DIF on the Thorndike Verbal Intelligence Scale and Wechsler Adult Intelligence Scales, Revised Similarities test. Cox models examined mortality associations among SES and VIQ scores corrected and uncorrected for DIF.

RESULTS

When uncorrected for DIF, VIQ was correlated with income, education, occupational prestige and race, with correlation coefficients ranging between |0.12| and |0.43|. After correcting for DIF, correlations ranged from |0.06| to |0.16|. Uncorrected VIQ scores explained 11-40% of the Relative Index of Inequalities in mortality for social factors, while DIF-corrected scores explained 2-29%.

CONCLUSIONS

Two of the common forms of VIQ tests appear confound verbal intelligence with SES. Since these tests appear in most IQ batteries, circumspection may be warranted in estimating the amount of social inequalities in mortality attributable to IQ.

Exploring Prospective Predictors of Completed Suicides

Background: This study was based on over 30,000 respondents who completed General Social Surveys between 1978 and 2002. Aims: We approached these respondents prospectively, comparing and contrasting the responses of those who subsequently died by suicide (N = 141) with those who died from all other causes (N = 9,115). Method: We employed chi-square and logistic regression analyses of important demographic confounders to test for statistically significant differences between suicide decedents and all other decedents. Results: Suicide decedents died on average 2 years sooner than all other decedents. When covariates of age and gender were applied, suicide decedents exhibited greater acceptance of suicide for dealing with various adverse life circumstances, were more likely to have been the gun owners in their households, lived in regions where gun ownership was more commonplace, and held less strong religious beliefs and less of a belief of an afterlife. Conclusion: The observed affinity between attitudes of suicide acceptability and completed suicide suggests a potential for creating a meaningful assessment tool to identify those positioned at the extreme end of the suicide risk continuum.

Structural Stigma and the Health of Lesbian, Gay, and Bisexual Populations

Psychological research has made significant advancements in the study of stigma but has tended to focus on individual and interpersonal stigma processes. Recently, researchers have expanded the stigma construct to consider how broader, macrosocial forms of stigma—termed structural stigma—also disadvantage stigmatized individuals. In this article, I review cross-sectional, quasi-experimental, and longitudinal studies demonstrating that structural stigma is a risk indicator for psychiatric and physical-health morbidities among lesbian, gay, and bisexual populations. As this work is still in its infancy, the next generation of research will benefit from identifying mediators and moderators of the structural stigma–health association and from examining direct and synergistic relationships between structural and individual forms of stigma.

The increasing predictive validity of self-rated health

Using the 1980 to 2002 General Social Survey, a repeated cross-sectional study that has been linked to the National Death Index through 2008, this study examines the changing relationship between self-rated health and mortality. Research has established that self-rated health has exceptional predictive validity with respect to mortality, but this validity may be deteriorating in light of the rapid medicalization of seemingly superficial conditions and increasingly high expectations for good health. Yet the current study shows the validity of self-rated health is increasing over time. Individuals are apparently better at assessing their health in 2002 than they were in 1980 and, for this reason, the relationship between self-rated health and mortality is considerably stronger across all levels of self-rated health. Several potential mechanisms for this increase are explored. More schooling and more cognitive ability increase the predictive validity of self-rated health, but neither of these influences explains the growing association between self-rated health and mortality. The association is also invariant to changing causes of death, including a decline in accidental deaths, which are, by definition, unanticipated by the individual. Using data from the final two waves of data, we find suggestive evidence that exposure to more health information is the driving force, but we also show that the source of information is very important. For example, the relationship between self-rated health and mortality is smaller among those who use the internet to find health information than among those who do not.

Anti-gay prejudice and all-cause mortality among heterosexuals in the United States

OBJECTIVES

We determined whether individuals who harbor antigay prejudice experience elevated mortality risk.

METHODS

Data on heterosexual sexual orientation (n = 20,226, aged 18-89 years), antigay attitudes, and mortality risk factors came from the General Social Survey, which was linked to mortality data from the National Death Index (1988-2008). We used Cox proportional hazard models to examine whether antigay prejudice was associated with mortality risk among heterosexuals.

RESULTS

Heterosexuals who reported higher levels of antigay prejudice had higher mortality risk than those who reported lower levels (hazard ratio [HR] = 1.25; 95% confidence interval [CI] = 1.09, 1.42), with control for multiple risk factors for mortality, including demographics, socioeconomic status, and fair or poor self-rated health. This result translates into a life expectancy difference of approximately 2.5 years (95% CI = 1.0, 4.0 years) between individuals with high versus low levels of antigay prejudice. Furthermore, in sensitivity analyses, antigay prejudice was specifically associated with increased risk of cardiovascular-related causes of death in fully adjusted models (HR = 1.29; 95% CI = 1.04, 1.60).

CONCLUSIONS

The findings contribute to a growing body of research suggesting that reducing prejudice may improve the health of both minority and majority populations.

Do the psychosocial risks associated with television viewing increase mortality? Evidence from the 2008 General Social Survey-National Death Index dataset

BACKGROUND

Television viewing is associated with an increased risk of mortality, which could be caused by a sedentary lifestyle, the content of television programming (e.g., cigarette product placement or stress-inducing content), or both.

METHODS

We examined the relationship between self-reported hours of television viewing and mortality risk over 30 years in a representative sample of the American adult population using the 2008 General Social Survey-National Death Index dataset. We also explored the intervening variable effect of various emotional states (e.g., happiness) and beliefs (e.g., trust in government) of the relationship between television viewing and mortality.

RESULTS

We find that, for each additional hour of viewing, mortality risks increased 4%. Given the mean duration of television viewing in our sample, this amounted to about 1.2 years of life expectancy in the United States. This association was tempered by a number of potential psychosocial mediators, including self-reported measures of happiness, social capital, or confidence in institutions. Although none of these were clinically significant, the combined mediation power was statistically significant (P < .001).

CONCLUSIONS

Television viewing among healthy adults is correlated with premature mortality in a nationally representative sample of U.S. adults, and this association may be partially mediated by programming content related to beliefs or affective states. However, this mediation effect is the result of many small changes in psychosocial states rather than large effects from a few factors.

Emotion suppression and mortality risk over a 12-year follow-up

OBJECTIVE

Suppression of emotion has long been suspected to have a role in health, but empirical work has yielded mixed findings. We examined the association between emotion suppression and all-cause, cardiovascular, and cancer mortality over 12 years of follow-up in a nationally representative US sample.

METHODS

We used the 2008 General Social Survey-National Death Index (GSS-NDI) cohort, which included an emotion suppression scale administered to 729 people in 1996. Prospective mortality follow up between 1996 and 2008 of 111 deaths (37 by cardiovascular disease, 34 by cancer) was evaluated using Cox proportional hazards models adjusted for age, gender, education, and minority race/ethnicity.

RESULTS

The 75th vs. 25th percentile on the emotional suppression score was associated with hazard ratio (HR) of 1.35 (95% Confidence Interval [95% CI]=1.00, 1.82; P=.049) for all-cause mortality. For cancer and cardiovascular disease mortality, the HRs were 1.70 (95% CI=1.01, 2.88, P=.049) and 1.47 (95% CI=.87, 2.47, P=.148) respectively.

CONCLUSIONS

Emotion suppression may convey risk for earlier death, including death from cancer. Further work is needed to better understand the biopsychosocial mechanisms for this risk, as well as the nature of associations between suppression and different forms of mortality.

Structural stigma and all-cause mortality in sexual minority populations

Stigma operates at multiple levels, including intrapersonal appraisals (e.g., self-stigma), interpersonal events (e.g., hate crimes), and structural conditions (e.g., community norms, institutional policies). Although prior research has indicated that intrapersonal and interpersonal forms of stigma negatively affect the health of the stigmatized, few studies have addressed the health consequences of exposure to structural forms of stigma. To address this gap, we investigated whether structural stigma-operationalized as living in communities with high levels of anti-gay prejudice-increases risk of premature mortality for sexual minorities. We constructed a measure capturing the average level of anti-gay prejudice at the community level, using data from the General Social Survey, which was then prospectively linked to all-cause mortality data via the National Death Index. Sexual minorities living in communities with high levels of anti-gay prejudice experienced a higher hazard of mortality than those living in low-prejudice communities (Hazard Ratio [HR] = 3.03, 95% Confidence Interval [CI] = 1.50, 6.13), controlling for individual and community-level covariates. This result translates into a shorter life expectancy of approximately 12 years (95% C.I.: 4-20 years) for sexual minorities living in high-prejudice communities. Analysis of specific causes of death revealed that suicide, homicide/violence, and cardiovascular diseases were substantially elevated among sexual minorities in high-prejudice communities. Strikingly, there was an 18-year difference in average age of completed suicide between sexual minorities in the high-prejudice (age 37.5) and low-prejudice (age 55.7) communities. These results highlight the importance of examining structural forms of stigma and prejudice as social determinants of health and longevity among minority populations.

Gender differences in material, psychological, and social domains of the income gradient in mortality: implications for policy

We set out to examine the material, psychological, and sociological pathways mediating the income gradient in health and mortality. We used the 2008 General Social Survey-National Death Index dataset (N = 26,870), which contains three decades of social survey data in the US linked to thirty years of mortality follow-up. We grouped a large number of variables into 3 domains: material, psychological, and sociological using factor analysis. We then employed discrete-time hazard models to examine the extent to which these three domains mediated the income-mortality association among men and women. Overall, the gradient was weaker for females than for males. While psychological and material factors explained mortality hazards among females, hazards among males were explained only by social capital. Poor health significantly predicted both income and mortality, particularly among females, suggesting a strong role for reverse causation. We also find that many traditional associations between income and mortality are absent in this dataset, such as perceived social status.

Stigma as a fundamental cause of population health inequalities

Bodies of research pertaining to specific stigmatized statuses have typically developed in separate domains and have focused on single outcomes at 1 level of analysis, thereby obscuring the full significance of stigma as a fundamental driver of population health. Here we provide illustrative evidence on the health consequences of stigma and present a conceptual framework describing the psychological and structural pathways through which stigma influences health. Because of its pervasiveness, its disruption of multiple life domains (e.g., resources, social relationships, and coping behaviors), and its corrosive impact on the health of populations, stigma should be considered alongside the other major organizing concepts for research on social determinants of population health.

The relationship between five different measures of structural social capital, medical examination outcomes, and mortality

Higher social capital is associated with improved mental and physical health and reduced risk of premature mortality. We explored the relationship between five measures of structural social capital and 1) intermediate health outcomes (elevated C-reactive protein, cholesterol, blood pressure, and serum fibrinogen) and 2) distal outcomes (cardiovascular and all cause mortality). We did so using the National Health and Nutrition Examination Survey III 1988-1994 linked to the National Death Index with mortality follow-up through 2006. We employed ordinary least squares regression for the intermediate outcomes, seemingly unrelated regression (SUR) to consider combined effects, and Cox proportionate hazards models for mortality outcomes. We then performed extensive sensitivity analyses, exploring the contribution of various variables and reverse causality. We find that our measures of social capital did not predict statistically significant changes in the laboratory biomarkers we study. Nevertheless, belonging to organizations or attending church >12 times per year were associated with reduced all cause mortality (hazard ratio [HR] = 0.81, 95% confidence interval [CI] = 0.70-0.93 and HR = 0.72, 95% CI = 0.60-0.86, respectively). In SUR analyses, however, combined laboratory values were significant for all measures of social capital we study with the exception of visits to neighbors. This suggests that some forms of structural social capital improve survival through small changes in multiple measures of biological risk factors rather than moderate or large changes in any one measure.