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

Teen births, income inequality, and social capital: developing an understanding of the causal pathway

Many studies have demonstrated a relationship between income inequality and poor health, but how does income inequality impact health? One possible explanation is that greater income inequality undermines social capital (social cohesion, civic engagement, and mutual trust in a community). We conducted path analyses of the relationship between income inequality, poverty, and teen birth rate, testing for the mediating effect of social capital in 39 US states. Birth rate was affected by both poverty and income inequality, though income inequality appeared to affect teen birth rate primarily through its impact on social capital.

Annotated Bibliography on Equity in Health, 1980-2001

The purposes of this bibliography are to present an overview of the published literature on equity in health and to summarize key articles relevant to the mission of the International Society for Equity in Health (ISEqH). The intent is to show the directions being taken in health equity research including theories, methods, and interventions to understand the genesis of inequities and their remediation. Therefore, the bibliography includes articles from the health equity literature that focus on mechanisms by which inequities in health arise and approaches to reducing them where and when they exist.

Income inequality, individual income, and mortality in Danish adults: analysis of pooled data from two cohort studies

OBJECTIVE

To analyse the association between area income inequality and mortality after adjustment for individual income and other established risk factors.

DESIGN

Analysis of pooled data from two cohort studies. The relation between income inequality in small areas of residence (parishes) and individual mortality was examined with Cox proportional hazard analyses.

SETTING

Two population studies conducted in Copenhagen, Denmark.

PARTICIPANTS

13 710 women and 12 018 men followed for a mean of 12.8 years.

MAIN OUTCOME MEASURE

All cause mortality.

RESULTS

Age standardised mortality was highest in the parishes with the least equal income distribution. After adjustment for individual risk factors, parish income inequality was not associated with mortality, whereas individual household income was. Thus, individuals in the highest income quarter had lower mortality than those in the lowest quarter (adjusted hazard ratio for men 0.51 (95% confidence interval 0.45 to 0.59) and for women 0.60 (0.54 to 0.68)).

CONCLUSION

Area income inequality is not in itself associated with all cause mortality in this Danish population. Adjustment for individual risk factors makes the apparent effect disappear. This may be the result of Denmark's welfare system, based on a Nordic model.

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.

Reinvesting in social justice: a capital idea for public health nursing?

Social justice is a core ethical principle of public health nursing; yet, nurses' work as social activists has largely diminished over the past century. Reengagement in social justice activities is essential to change the current social, economic, and health differentials perpetuated by market justice ideologies. Social capital has emerged in the public health literature as a promising concept for developing community interventions that diminish disparities. Public health nurses, however, must be wary of uncritically adopting social capital as a panacea for inequalities; advocating for interventions seeking to build social capital may be as harmful as the inequalities themselves.

Ecological analysis of teen birth rates: association with community income and income inequality

OBJECTIVES

To examine whether per capita income and income inequality are independently associated with teen birth rate in populous U.S. counties.

METHODS

This study used 1990 U.S. Census data and National Center for Health Statistics birth data. Income inequality was measured with the 90:10 ratio, a ratio of percent of cumulative income held by the richest and poorest population deciles. Linear regression and analysis of variance were used to assess associations between county-level average income, income inequality, and teen birth rates among counties with population greater than 100,000.

RESULTS

Among teens aged 15-17, income inequality and per capita income were independently associated with birth rate; the mean birth rate was 54 per 1,000 in counties with low income and high income inequality, and 19 per 1,000 in counties with high income and low inequality. Among older teens (aged 18-19) only per capita income was significantly associated with birth rate.

CONCLUSIONS

Although teen childbearing is the result of individual behaviors, these findings suggest that community-level factors such as income and income inequality may contribute significantly to differences in teen birth rates.