Relative or absolute standards for child poverty: a state-level analysis of infant and child mortality

A test of the predictive validity of relative versus absolute income for self-reported health and well-being in the United States

BACKGROUND

A classic debate concerns whether absolute or relative income is more salient. Absolute values resources as constant across time and place while relative contextualizes one's hierarchical location in the distribution of a time and place.

OBJECTIVE

This study investigates specifically whether absolute income or relative income matters more for health and well-being.

METHODS

We exploit within-person, within-age, and within-time variation with higher-quality income measures and multiple health and well-being outcomes in the United States. Using the Panel Study of Income Dynamics and the Cross-National Equivalent File, we estimate three-way fixed effects models of self-rated health, poor health, psychological distress, and life satisfaction.

RESULTS

For all four outcomes, relative income has much larger standardized coefficients than absolute income. Robustly, the confidence intervals for relative income do not overlap with zero. By contrast, absolute income mostly has confidence intervals that overlap with zero, and its coefficient is occasionally signed in the wrong direction. A variety of robustness checks support these results.

CONCLUSIONS

Relative income has far greater predictive validity than absolute income for self-reported health and well-being.

CONTRIBUTION

Compared to earlier studies, this study provides a more rigorous comparison and test of the predictive validity of absolute and relative income that is uniquely conducted with data on the United States. This informs debates on income measurement, the sources of health and well-being, and inequalities generally. Plausibly, these results can guide any analysis that includes income in models.

The institutional development award states pediatric clinical trials network: building research capacity among the rural and medically underserved

PURPOSE OF REVIEW

The institutional development award (IDeA) program was created to increase the competitiveness of investigators in states with historically low success rates for National Institutes of Health (NIH) research funding applications. IDeA states have high numbers of rural and medically underserved residents with disproportionately high rates of infant mortality, obesity, and poverty. This program supports the development and expansion of research infrastructure and research activities in these states. The IDeA States Pediatric Clinical Trials Network (ISPCTN) is part of the environmental influences on child health outcomes program. Its purpose is to build research capacity within IDeA states and provide opportunities for children in IDeA states to participate in clinical trials. This review describes the current and future activities of the network.

RECENT FINDINGS

In its initial year, the ISPCTN created an online series on clinical trials, initiated participation in a study conducted by the pediatric trials network, and proposed two novel clinical trials for obese children. Capacity building and clinical trial implementation will continue in future years.

SUMMARY

The ISPCTN is uniquely poised to establish and support new pediatric clinical research programs in underserved populations, producing both short and long-term gains in the understanding of child health.

Absolute rather than relative income is a better socioeconomic predictor of chronic obstructive pulmonary disease in Swedish adults

BACKGROUND

While psychosocial theory claims that socioeconomic status (SES), acting through social comparisons, has an important influence on susceptibility to disease, materialistic theory says that socioeconomic position (SEP) and related access to material resources matter more. However, the relative role of SEP versus SES in chronic obstructive pulmonary disease (COPD) risk has still not been examined.

METHOD

We investigated the association between SES/SEP and COPD risk among 667 094 older adults, aged 55 to 60, residing in Sweden between 2006 and 2011. Absolute income in five groups by population quintiles depicted SEP and relative income expressed as quintile groups within each absolute income group represented SES. We performed sex-stratified logistic regression models to estimate odds ratios and the area under the receiver operator curve (AUC) to compare the discriminatory accuracy of SES and SEP in relation to COPD.

RESULTS

Even though both absolute (SEP) and relative income (SES) were associated with COPD risk, only absolute income (SEP) presented a clear gradient, so the poorest had a three-fold higher COPD risk than the richest individuals. While the AUC for a model including only age was 0.54 and 0.55 when including relative income (SES), it increased to 0.65 when accounting for absolute income (SEP). SEP rather than SES demonstrated a consistent association with COPD.

CONCLUSIONS

Our study supports the materialistic theory. Access to material resources seems more relevant to COPD risk than the consequences of low relative income.

Did Socioeconomic Inequality in Self-Reported Health in Chile Fall after the Equity-Based Healthcare Reform of 2005? A Concentration Index Decomposition Analysis

OBJECTIVE

Chile, a South American country recently defined as a high-income nation, carried out a major healthcare system reform from 2005 onwards that aimed at reducing socioeconomic inequality in health. This study aimed to estimate income-related inequality in self-reported health status (SRHS) in 2000 and 2013, before and after the reform, for the entire adult Chilean population.

METHODS

Using data on equivalized household income and adult SRHS from the 2000 and 2013 CASEN surveys (independent samples of 101 046 and 172 330 adult participants, respectively) we estimated Erreygers concentration indices (CIs) for above average SRHS for both years. We also decomposed the contribution of both "legitimate" standardizing variables (age and sex) and "illegitimate" variables (income, education, occupation, ethnicity, urban/rural, marital status, number of people living in the household, and healthcare entitlement).

RESULTS

There was a significant concentration of above average SRHS favoring richer people in Chile in both years, which was less pronounced in 2013 than 2000 (Erreygers corrected CI 0.165 [Standard Error, SE 0.007] in 2000 and 0.047 [SE 0.008] in 2013). To help interpret the magnitude of this decline, adults in the richest fifth of households were 33% more likely than those in the poorest fifth to report above-average health in 2000, falling to 11% in 2013. In 2013, the contribution of illegitimate factors to income-related inequality in SRHS remained higher than the contribution of legitimate factors.

CONCLUSIONS

Income-related inequality in SRHS in Chile has fallen after the equity-based healthcare reform. Further research is needed to ascertain how far this fall in health inequality can be attributed to the 2005 healthcare reform as opposed to economic growth and other determinants of health that changed during the period.

Child mortality in India: a complex situation

BACKGROUND

The countdown database to track the maternal and child survival rate, as set by the Millennium Development Goal, reported recently that India's progress is not satisfactory in reducing newborn and child deaths.

DATA SOURCES

Articles on neonatal and child mortality in India were accessed from PubMed/MEDLINE. Risk factors associated with neonatal and child mortality were reviewed in three crucial phases of pregnancy, childbirth and postnatal period.

RESULTS

The review revealed economic disparity acts through various avenues of cultural belief and restrictions and is indirectly associated with care seeking behavior and utilization of health care, resulting in slow decline of child mortality rate in India. Secondly, cultural norms, practices, and beliefs are strongly associated with high neonatal mortality, contributing to the sluggish decline of overall child survival rate. Proximate determinants of child mortality, i.e., income, cultural behavior and beliefs, in multiplicity of Indian cultures, are closely associated with health seeking behavior, antenatal care, delivery practices and postnatal care of infants.

CONCLUSIONS

Apart from raising awareness among community leaders, family members responsible for care giving should be specially targeted for removal of hostile perceptions and barriers for improvement of child survival. Also there is need for developing new strategies for health education based on indigenous concerns, addressing socio-cultural barriers.

White infant mortality in Appalachian states, 1976-1980 and 1996-2000: changing patterns and persistent disparities

PURPOSE

Appalachian counties have historically had elevated infant mortality rates. Changes in infant mortality disparities over time in Appalachia are not well-understood. This study explores spatial inequalities in white infant mortality rates over time in the 13 Appalachian states, comparing counties in Appalachia with non-Appalachian counties.

METHODS

Data are analyzed for 1,100 counties in 13 Appalachian states that include 420 counties designated as Appalachian by the Appalachian Regional Commission. Area Resource File data for 1976-1980 and 1996-2000 provide county- and city-level infant mortality rates, poverty rates, rural-urban continuum codes, and numbers of physicians per 1,000 residents. Multiple regression analyses evaluate whether Appalachian counties are significantly associated with elevated white infant mortality in each time period, accounting for covariates.

FINDINGS

White infant mortality rates decreased substantially in all sub-regions over the last 2 decades; however, disparities in infant mortality did not diminish in Appalachian counties compared to non-Appalachian counties. After accounting for poverty, rural/urban status, and health care resources, Appalachian counties were significantly associated with comparatively higher infant mortality during the late 1970s but not in the late 1990s. At the more recent time point, higher poverty rates, residence in more rural areas, and lower physician density were associated with greater infant mortality risk.

CONCLUSION

Appalachian counties continue to experience relatively elevated infant mortality rates. Poverty and rurality remain important dimensions of health service need in Appalachia.

Do family policy regimes matter for children's well-being?

Researchers have studied the impact of different welfare state regimes, and particularly family policy regimes, on gender equality. Very little research has been conducted, however, on the association between different family policy regimes and children's well-being. This article explores how the different family policy regimes of twenty OECD countries relate to children's well-being in the areas of child poverty, child mortality, and educational attainment and achievement. We focus specifically on three family policies: family cash and tax benefits, paid parenting leaves, and public child care support. Using panel data for the years 1995, 2000, and 2005, we test the association between these policies and child well-being while holding constant for a number of structural and policy variables. Our analysis shows that the dual-earner regimes, combining high levels of support for paid parenting leaves and public child care, are strongly associated with low levels of child poverty and child mortality. We find little long-term effect of family policies on educational achievement, but a significant positive correlation between high family policy support and higher educational attainment. We conclude that family policies have a significant impact on improving children's well-being, and that dual-earner regimes represent the best practice for promoting children's health and development.

Determinants of infant and child mortality in periurban areas of Kolkata city, India

Recent Indian studies indicate stagnation in decline of child mortality, though various health care interventions were introduced during the last 2 decades. This study examined the rates of infant and child mortality and associated demographic and socioeconomic factors in 2 socioeconomically vulnerable populations, comprising 195 Munda and 334 Poundrakshatriya women having similar access to health care facilities in a periurban region of Kolkata city. Higher infant mortality rate (IMR) was noted in the older and younger Munda women, in contrast to lower IMR in younger Pod women. Child mortality rate was lower in younger women in both the ethnic groups. Stagnation in IMR in younger Munda women indicates poor delivery practices whereas lower rate among the Pod reflects better adoption of safe delivery practices. Differential association of factors with infant and child deaths in the 2 populations indicate that a better understanding of determinants in culturally heterogeneous populations at the community or household level is needed to develop more effective strategies for child survival and development.

State policy environment and delayed or forgone care among children with special health care needs

OBJECTIVE

To evaluate if children with special health care needs (CSHCN) residing in states with more generous public insurance programs were less likely to report delayed or forgone care.

METHODS

We used multilevel modeling to evaluate state policy characteristics after controlling for individual characteristics. We used the 2001 National Survey of CSHCN for individual-level data (N=33,317) merged with state-level data, which included measures of the state's public insurance programs (Medicaid eligibility and enrollment, spending on Medicaid, SCHIP and Title V, and income eligibility levels), state poverty level and provider supply (including pediatric primary care and specialty providers). We also included a variable for state waivers for CSHCN requiring institutional level care.

RESULTS

Delayed or forgone care significantly varied among CSHCN between states, net of individual characteristics. Of all the state characteristics studied, only the Medicaid income eligibility levels influenced the risk of experiencing delayed care. CSHCN living in states with higher income eligibility thresholds or more generous eligibility levels were less likely to experience delayed care (OR 0.89(0.80,0.99); P<or=0.05).

CONCLUSIONS

By analyzing child health policy in the context of individual characteristics that may place a child at risk for delayed care, we determined that improving Medicaid eligibility levels improved the process of care for CSHCN.

Infant mortality in the Lower Mississippi Delta: geography, poverty and race

OBJECTIVE

The objectives of this study were to explore regional, economic and racial disparities in infant mortality rates between geographic sub-regions within the eight states containing the Delta and to test hypotheses that regional disparities would decrease over time while county poverty level and racial composition would remain significant predictors of infant mortality rates.

STUDY DESIGN

The study used secondary data analysis of county level rates, including descriptive statistics, hierarchical multiple regression with interaction effects and linear multiple regression. Models testing the impact of sub-regional geographic differences, percent of poverty, percent of black population and interaction effects were conducted at three time periods, the late 1970s, late 1980s and late 1990s.

RESULTS

In the first time period, regional differences, percent of poverty, percent of black population and the interaction of region and poverty were all predictive of infant mortality (R(2) = 0.31, P < 0.0001). In the subsequent time periods, only percent of poverty and percent of black population were significant predictors (R(2) = 0.20, P < 0.0001 and R(2) = 0.26, P < 0.0001).

CONCLUSIONS

During the late 1970s and early 1980s, region, poverty and racial composition of counties all played an important part in predicting life chances for infants born in these eight states. Furthermore, Central Delta infants in counties with poverty levels of 30% or greater were significantly more likely to die than infants in other areas with the same rates of poverty, even after controlling for racial composition. The impact of regional differences was no longer significant at the ends of the subsequent two decades. Both medical and policy changes during these decades may have contributed to the decreased impact of region. However, both poverty and racial composition continue as important factors, accounting for more variance in the late 1990s than a decade before.

Association of poverty with sudden infant death syndrome in metropolitan counties of the United States in the years 1990 and 2000

BACKGROUND

Sudden infant death syndrome (SIDS) has been associated with poverty indirectly in the United States with the use of vital statistics data by using proxies of socioeconomic status such as maternal education.

OBJECTIVES

The objective of this analysis was to examine the relationship of poverty to SIDS at an ecologic level, by examining the association between poverty within metropolitan counties of the United States and the occurrence of SIDS within those metropolitan counties.

METHODS

The percentage of each US county's population below established federal poverty guidelines (poverty index) was obtained from US Census data for 1990 and 2000 by race (Hispanic-HISP, non-Hispanic white-NHW, and non-Hispanic black-NHB). These data were merged by year of birth, county, and race with US Vital Statistics Linked Birth and Infant Death Certificate data.

RESULTS

Fourth (highest poverty quartile) versus first quartile poverty odds ratios (OR) were significantly increased in 1990 and 2000 for NHB (OR1990 = 1.84, OR2000 = 2.29) and NHW (OR1990 = 1.87, OR2000 = 2.17), but not for HISP (OR1990 = 0.64, OR2000 = 0.59).

CONCLUSIONS

There is a significant association between poverty and SIDS at the metropolitan county level for NHB and NHW. Hispanics do not demonstrate this association.

Economic disparity and child survival in Cambodia

Despite improvements in child survival in recent decades, levels of infant and child mortality remain unacceptably high, particularly among the poor in developing countries recovering from recent wars and civil unrests. Using information on 8498 childbirths in five years preceding the 2000 Cambodia Demographic and Health Survey, this study measured the association between economic disparity and infant mortality using multivariate Weibull regression. Results indicate that children born in the poorest 40% households were more than twice as likely to die during infancy as those born in the richest 20% households, even after controlling for pregnancy care, birth weight, household living conditions, and other factors. Children born in the middle-income households also had significantly higher mortality risks. Not receiving antenatal care and low birth weight were associated with an increased risk. Also, boys had a higher risk than girls. The study concludes that poverty is strongly negatively associated with infant survival in Cambodia.

Understanding the dimensions of socioeconomic status that influence toddlers' health: unique impact of lack of money for basic needs in Quebec's birth cohort

STUDY OBJECTIVES

To examine the unique impact of financial difficulties as measured by a lack of money for basic needs on the occurrence of health problems between the ages of 17 and 29 months, controlling for mother's level of education and neonatal health problems.

DESIGN AND PARTICIPANTS

Analyses were performed on the 29 month data of the Quebec longitudinal study of child development. This longitudinal study followed up a birth cohort annually. Interviews were conducted in the home with the mother in 98.8% of cases. This information was supplemented with data from birth records. At 29 months, the response rate was 94.2% of the initial sample (n = 1946). The main outcome measures were mothers' report of acute health problems, asthma episodes, and hospitalisation as well as growth delay and a composite index of health problems (acute problems, asthma attack, growth delay).

MAIN RESULTS

Children raised in a family experiencing a serious lack of money for basic needs during the preceding year were more likely to be reported by their mothers as presenting acute health problems, a growth delay, two or more health problems, and to have been hospitalised for the first time within the past few months as compared with babies living in a family not experiencing a lack of money for basic needs regardless of the mother's level of education and of neonatal health problems.

CONCLUSION

Financial difficulties as measured by a lack of money for basic needs have a significant and unique impact on toddlers' health.

A model of underlying socioeconomic vulnerability in human populations: evidence from variability in population health and implications for public health

Drawing from insights into the variability of complex biologic systems we propose that the health of human populations reflects the interrelationship between underlying vulnerabilities (determined by population-level social and economic factors; e.g., income distribution) and capacities (determined by population-level salutary resources, e.g., social capital) and how populations, shaped by these vulnerabilities and capacities, respond to intermittent stressors (e.g., economic downturns) and protective events (e.g., introduction of a school). Monitoring this dynamic at the population-level can be accomplished by examining not only rates of illness and mortality, but variability in rates, either between populations or within populations over time. We used mortality data from New York City neighborhoods between 1990 and 2001 to test two related hypotheses consistent with this model of population health: (a) There is greater variability in mortality rates at a point in time between neighborhoods that are characterized by socioeconomic vulnerability; and (b) there is greater variability in mortality rates over time within neighborhoods that are characterized by socioeconomic vulnerability. We found that neighborhoods characterized by social and economic vulnerability displayed substantial variability in particular mortality rates. Mortality rates displaying the greatest variability were from causes that may be sensitive to social conditions (e.g., homicide or HIV/AIDS rates). Variability in population health existed both between neighborhoods with underlying vulnerability at one point in time and within vulnerable neighborhoods over time. The results of this analysis are consistent with a theory of underlying socioeconomic vulnerabilities of human populations and suggest that variability in population health may be an important consideration in population health assessment.

The effect of income inequality and macro-level social policy on infant mortality and low birthweight in developed countries--a preliminary systematic review

OBJECTIVE

To carry out a preliminary systematic review of literature to address the question - among rich nations (or states within nations) what is the evidence that income inequality and differences in macro-level social policy affect rates of infant mortality and low birthweight (LBW)?

STUDY DESIGN

A systematic literature review.

SEARCH STRATEGY

Medline database (1968-August 2003) was searched for empirical studies of the relationship between macro-level economic and social policies in rich nations and rates of infant mortality (IMR) and LBW. Cross-national comparison of infant mortality and LBW that did not compare the effects of macro-level economic and social policies was excluded from the review as were studies including less developed countries. Keywords representing IMR and LBW were entered into Medline along with exposures related to international comparison and macro-level policy. Abstracts obtained from the initial search were reviewed for relevant studies. Full papers of potentially relevant studies were obtained and reviewed for inclusion. Secondary search of papers cited in included papers was undertaken. For this review, papers were not excluded on the basis of quality although methodological limitations were commented on and taken into account in interpreting the results. Summary statistics were not estimated.

RESULTS

Twelve studies, fulfilling the inclusion criteria, were identified. Ten studies examined the association of IMR with income inequality, eight of which reported a statistically significant positive association with higher levels of inequality after adjustment for a range of variables. Six studies reported significant positive associations of IMR with other indicators of less re-distributive social and economic policy. Associations with LBW were reported in four studies; three showed significant positive associations with higher levels of income inequality and one showed no association with low levels of parental leave entitlement. Methodological differences, particularly the wide range of variables used to adjust for confounding, make interpretation of the findings difficult.

CONCLUSIONS

The results of this review represent a preliminary attempt to summarize the literature linking macro-level economic and social policies in rich nations with IMR and LBW. The findings, taking account of the methodological limitations of the review and of the included studies, suggest a statistically significant association between IMR and higher income inequality and other indicators of less re-distributive social policy. Only three studies examined the association of income inequality with LBW and, although they suggest a significant association, further studies will be needed to confirm this finding.

Is income inequality a determinant of population health? Part 1. A systematic review

This article reviews 98 aggregate and multilevel studies examining the associations between income inequality and health. Overall, there seems to be little support for the idea that income inequality is a major, generalizable determinant of population health differences within or between rich countries. Income inequality may, however, directly influence some health outcomes, such as homicide in some contexts. The strongest evidence for direct health effects is among states in the United States, but even that is somewhat mixed. Despite little support for a direct effect of income inequality on health per se, reducing income inequality by raising the incomes of the most disadvantaged will improve their health, help reduce health inequalities, and generally improve population health.