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PubMed1995

Income and AIDS rates in Los Angeles County.

OBJECTIVE: To examine the relationship between income and AIDS rates in Los Angeles County (LAC) by race/ethnicity. METHODS: 1990 US census data were used to classify LAC postal zones (zip codes) by median household income into low-, middle-, and high-income strata. AIDS rates were calculated for each income stratum based on 15,805 AIDS cases diagnosed from 1987 through 1992 and reported to the county health department. RESULTS: The AIDS rate was highest among residents of low-income areas (252.8 per 100,000), intermediate among residents of middle-income areas (161.2 per 100,000), and lowest among residents of high-income areas (82.0 per 100,000). This trend in rates was present in all racial/ethnic groups examined and was most pronounced among whites (675.1, 226.7, and 88.4 per 100,000, respectively). Residents of low-income areas accounted for 78% of AIDS cases among blacks, 67% among Hispanics, and 47% among whites. CONCLUSIONS: These findings suggest a strong inverse relationship between income and AIDS rates in LAC that is consistent across racial/ethnic groups. Prevention programs and treatment services should be directed most intensively to low-income neighborhoods in this county.

Acquired Immunodeficiency Syndrome↗

PubMed2006

A vulnerability study of the low-income elderly in the context of high temperature and mortality in Seoul, Korea.

INTRODUCTION: We investigated the impact of environmental high temperature on mortality in Seoul, Korea, and the consequences of high temperature-induced mortality with a focus on the low-income elderly. METHODS: Changes in the risk of death by age and income were estimated by a 1 degrees C increase in temperature using a generalized additive model adjusting for non-temperature related factors: time trends, seasonality, and air pollution. The study covered the years of 2000, 2001, and 2002. RESULTS: We found that income and age were potential factors in high-temperature-induced excess mortality. Evidences to support these results are as follows: first, regarding the effect of an economic factor in the association between mortality and high temperature, the study shows that the mortality rate of the low-income group is higher, by as much as 1.3- to 1.7-fold, than that of the general population. Second, taking age into consideration, the mortality of low-income elderly people is 1.5-fold higher than that of the whole low-income group. The combined effect of income and age on mortality is estimated as 2.3-fold higher than that of the general population. But the results of the low-income and elderly group were not statistically significant due to wide standard deviation. CONCLUSIONS: The relationship between high-temperature-induced excess mortality, income, and age suggests the need for a public health message, yet many results were not statistically significant: preventive and health care interventions need to be administered to the elderly and low-income group during periods of high temperature.

Adaptation, Physiological↗

PubMed2005

Social inequalities in mortality: changes in the relative importance of income, education and household size over a 27-year period.

BACKGROUND: The aim of this paper was to measure socio-economic inequalities in mortality over a 27-year period, and estimate the simultaneous effects of education and income adjusted for changing proportions and potential confounders. METHODS: Census data in 1970, 1980 and 1990 with information about income, educational level and household size were linked to mortality records at the individual level and analysed with absolute mortality rates, Poisson regression (univariate and multivariate) and Relative Index of Inequality (RII). RESULTS: Mortality differences increased between income quartiles and educational groups as well as between singles and non-singles. RII between income quartiles increased from 1.6 to 3.6 for men and 1.7 to 2.7 for women while RII between the educational groups increased from 1.6 to 2.8 for men and 1.5 to 2.1 for women. However, RII derived from the adjusted multivariate regression analysis was 1.8 (men) and 1.9 (women) between the income groups in 1990 and 2.2 (men) and 1.7 (women) between the educational groups. In the 1990s current income was more important than previous income, and the rate ratios (RR) increased for groups dropping into the lowest income quartile between two censuses. CONCLUSION: Low education and single status have become relatively more important risk factors for mortality over time. Confounder effects of education and household size could partly explain the seemingly large increase in inequalities between income groups. Results may also indicate a stronger reverse causation (poor health causing low income) over time.

Censuses↗

PubMed2005

Out-of-pocket financial burden for low-income families with children: socioeconomic disparities and effects of insurance.

OBJECTIVE: To determine whether socioeconomic disparities exist in the financial burden of out-of-pocket (OOP) health care expenditures for families with children, and whether health insurance coverage decreases financial burden for low-income families. DATA SOURCE: The Household Component of the 2001 Medical Expenditure Panel Survey. STUDY DESIGN: Cross-sectional family-level analysis. We used bivariate statistics to examine whether financial burden varied by poverty level. Multivariate regression models were used to assess whether family insurance coverage was associated with level of financial burden for low-income families. The main outcome was financial burden, defined as the proportion of family income spent on OOP health care expenditures, including premiums, for all family members. DATA COLLECTION/EXTRACTION: We aggregated annual OOP expenditures for all members of 4,531 families with a child <18 years old. Family insurance coverage was categorized as follows: (1) all members publicly insured all year, (2) all members privately insured all year, (3) all members uninsured all year, (4) partial coverage, or (5) mix of public and private with no uninsured periods. PRINCIPAL FINDINGS: A regressive gradient was noted for financial burden across income groups, with families with incomes <100 percent of the Federal Poverty Level (FPL) spending a mean of 119.66 US dollars OOP per 1,000 US dollars of family income and families with incomes 100-199 percent FPL spending 66.30 US dollars OOP per 1,000 US dollars, compared with 37.75 US dollars for families with incomes >400 percent FPL. For low-income families (<200 percent FPL), there was a 785 percent decrease in financial burden for those with full-year public coverage compared with those with full-year private insurance (p < .001). CONCLUSIONS: Socioeconomic disparities exist in the financial burden of OOP health care expenditures for families with children. For low-income families, full-year public coverage provides significantly greater protection from financial burden than full-year private coverage.

Adolescent↗

PubMed2000

Children of working low-income families in California: does parental work benefit children's insurance status, access, and utilization of primary health care?

OBJECTIVE: To examine financial and nonfinancial access to care and utilization of primary health care services among children of working low-income families earning below 200 percent of the federal poverty level in California, and to compare them to children in nonworking low-income families and in families earning over 200 percent of poverty. DATA SOURCES/STUDY SETTING: The 1994 National Health Interview survey weighted to reflect population estimates for California. STUDY DESIGN: This cross-sectional study of 3,831 children under age 19 focuses on financial access, that is, the prevalence and continuity of health insurance coverage; structural access, including the presence of a usual source of care, the predominant care source, its responsiveness to patient's needs, and any indications of delayed or missed care; and utilization of health care measured by the presence of an outpatient doctor's visit and the mean number of visits relative to child health status. DATA COLLECTION: The study uses secondary analysis. FINDINGS: Compared to children of nonworking low-income parents and to nonpoor children, children of working low-income parents were more likely to be uninsured (32.1 percent versus 15.6 percent and 10.3 percent, p = .0001) and to experience disruptions in insurance coverage (p = .0009). These differences persisted after controlling for other covariates in multivariate analyses. Children of working low-income parents did not differ significantly from children of nonworking low-income parents on measures of structural access or utilization, after adjusting for other covariates. However, they differed significantly from nonpoor children on structural access and utilization, and these differences mostly persisted after adjusting for other covariates (odds ratios from 1.5 to 2.9). Similar patterns were observed when children of full-time, year-round working parents with low earnings were compared with the two reference populations. CONCLUSION: Children in working low-income families in California have some of the worst access problems. Even full attachment to the workforce does not guarantee health insurance benefits, access to care, or improved health care use for children of low-income parents. These children are not better off than other low-income children of nonworking parents and are much worse off than nonpoor children. Expansion of health insurance coverage through Healthy Families and Medi-Cal, and attention to nonfinancial barriers to care for working low-income families may help to reduce these disparities.

Adolescent↗

PubMed2000

Income differences in persons seeking outpatient treatment for mental disorders: a comparison of the United States with Ontario and The Netherlands.

BACKGROUND: Variations in the relationships among income, use of mental health services, and sector of care are examined by comparing data from 3 countries that differ in the organization and financing of mental health services. METHODS: Data come from the 1990-1992 National Comorbidity Survey (n = 5,384), the 1990-1991 Mental Health Supplement to the Ontario Health Survey (n = 6,321), and the 1996 Netherlands Mental Health Survey and Incidence Study (n = 6031). Analysis of the association between income and use of mental health services was carried out for the population that was between ages 18 and 54 years. Differential use of mental health treatment was examined in 3 sectors: the general medical sector, the specialty sector, and the human services sector. RESULTS: No significant association between income and probability of any mental health treatment was observed for persons with psychiatric disorders in any of the 3 countries. However, there were significant differences among countries in the association between income and sector of mental health care treatment. In the United States, income is positively related to treatment being received in the specialty sector and negatively related to treatment being received in the human services sector. In the Netherlands, patients in the middle-income bracket are less likely to receive specialty care, while those in the high-income bracket are less likely to be seen in the human service sector. Income is unrelated to the sector of care for patients in Ontario. CONCLUSIONS: Future research should examine whether differential access to the specialty sector for low-income people in the United States is associated with worse mental health outcomes.

Adolescent↗

PubMed2003

Measuring income related inequality in health: standardisation and the partial concentration index.

The partial concentration index (PCI) is commonly used as a measure of income related inequality in health after removing the effects of standardising variables such as age and gender which affect health, are correlated with income, but not amenable to policy. Both direct and indirect standardisation have been used to remove the effects of standardising variables. The paper shows that with individual level data direct standardisation is possible using the coefficients from a linear regression of health on income and the standardising variables and yields a consistent estimate of the PCI. Indirect standardisation estimates the effects of the standardising variables on health from a health regression which excludes income. The coefficients on the standardising variables include some of the effects of income on health if income is correlated with the standardising variables. Using these coefficients to remove the effects of the standardising variables also removes some of the effect of income on health and leads to an inconsistent estimate of the PCI. Indirect standardisation underestimates the PCI irrespective of the signs of the correlations of standardising variables and income with each other and with health. An adaptation of the PCI when the marginal effect of income on health depends on the standardising variables is also proposed.

Female↗

PubMed2003

Income differentials in functional disability in old age: relative risks of onset, recovery, decline, attrition and mortality.

BACKGROUND AND AIMS: Socioeconomic status (SES) differences in health decline in late life may be underestimated, because the relatively higher risks of attrition of lower-SES persons are seldom taken into account. This longitudinal study aimed at comparing income differences in the course of disability, non-mortality attrition and mortality in older adults. METHODS: A sample population of 3107 older adults who participated in the 1992/1993 baseline of the Longitudinal Aging Study Amsterdam was examined regarding changes in functional disability in 1998/1999. SES was indicated by household income. RESULTS: Multinomial regression analyses revealed that, for men without disability at baseline, the relative rate for attrition was four times higher and the mortality rate was twice as high for low-income vs high-income persons. For non-disabled women, the relative risk for the onset of disability was nearly twice as high for low-income vs high-income persons. For both men and women, these risks decreased only slightly when behavioral and psychosocial risk factors were taken into account. Among persons with disability at baseline, the relative risks for attrition (for women) and mortality (for men) were twice as high for low-income persons, but no income differences were found with respect to recovery and decline. Adjustment for risk factors decreased the relative risks for attrition and mortality to a non-significant level. CONCLUSIONS: Income inequality in health in late life is to a large degree explained by the higher incidence of disability among lower-status women and by the higher attrition and mortality risks among lower-status men.

Adult↗

PubMed2000

Health insurance markets and income inequality: findings from an international health policy survey.

OBJECTIVE: To assess disparities in access to health care, financial burden of medical bills and perceived quality of care between those with above average incomes and those with below average incomes in five nations and to examine the relationship inequities in care experiences to health insurance coverage. DESIGN: Cross-sectional analysis of a random survey of adults in 1998. SUBJECTS: 5059 adults ages 18 and over in five English-speaking countries: Australia, Britain, Canada, New Zealand and the United States (approximately 1000 per country). MAIN OUTCOME MEASURES: Failure to receive needed care, difficulty getting care, waiting for elective surgery, problems paying medical bills, failure to fill prescriptions due to cost, perceived quality of medical care received and of most recent doctor visit. RESULTS: There were two to three-fold differences between those with above and below average incomes on measures of access to care in the US, Australia and New Zealand. In Britain and Canada indicators of access of to care were similar for the two income groups. Problems paying medical bills were most prevalent in the US, yet significant differences by income also existed in Australia, Canada and New Zealand. Those with below average incomes were more likely to have not filled a prescription due to cost in Australia, Canada, New Zealand and the US, with gaps by income most severe in the US. Ratings of quality of doctor visit were significantly different for the two income groups in the US, but not other countries. CONCLUSIONS: The analysis finds striking differences among countries in the relative equity of health care experiences. In general, care experiences are more unequal in three countries such as the US, Australia and New Zealand where systems have relatively greater reliance on private health insurance and markets. Greater inequality in care experiences is also associated with more divided public opinion regarding the need for system reform and the direction of recent policy changes. In Canada and Britain where care experiences are more equal of the health system are similar across income groups. Reliance on private insurance and patient user fees appears to lead to more divided views of the overall health system as well as inequity in access to care.

Adolescent↗

PubMed1992

Emergency department complaint frequency: variation by patient median household income.

STUDY OBJECTIVE: To determine whether emergency department complaint frequency varies with patient median household income, as approximated by patient residence zip code. DESIGN: All patient visits and complaints received in one ED were reviewed. Median household income of patient residence zip codes was obtained from available demographic data. Patients were categorized into seven income categories. EXCLUSIONS: Cases in which zip codes could not be determined or zip code income data could not be obtained; complaints from physicians, not patients; and data from zip codes remote from the hospital. SETTING: Nine hundred twenty-nine-bed teaching hospital. TYPE OF PARTICIPANTS: All ED visits and all ED complaints over a four-year period. STATISTICAL ANALYSIS: Armitage's chi 2 test for trend of proportions was used to compare complaint frequencies in different income groups. RESULTS: A total of 277,210 patient visits and 675 complaints met study criteria. Complaint frequencies ranged from 1.65 to 3.14 per thousand visits. Higher-income patients were more likely to complain than lower-income patients (P = .0000058). CONCLUSION: In this setting, ED patients residing in higher median income zip codes are more likely to register complaints than those from lower-income zip codes. Complaint frequencies from hospitals with different demographics may not be comparable.

Emergency Service, Hospital↗

PubMed1996

The income-generating behaviour of injecting drug-users in Oslo.

Drug users' income-generating behaviours, such as prostitution, acquisitive crime and small-scale dealing, have a major influence on the harm caused to the non-using population. Using data on the drug use and income sources of 900 drug-injectors in Oslo, this paper has two aims: to present data on Oslo income-generating behaviours and compare these with those in the Netherlands and Scotland; and to explore conceptual issues in the comparison of self-reported dealing income with other sources. Eighty-three per cent of respondents reported income from social benefit, and 43% had sold drugs in the last month. Half the females reported income from prostitution. The income-generation differences found in the comparisons section do not seem to reflect variations in drug and other social policies, but may relate to differences in the profitability of dealing. Using self-reported dealing income to compare the contributions of different income sources may be misleading, however, since it does not reflect financial profit or the value of dealers' drug consumption. Adjusted figures show that theft accounts for 23% of total drugs expenditure, while the corresponding figures for dealing and prostitution are 42% and 21%, respectively.

Adult↗

PubMed1977

Effect of income and geographic region on the nutritional value of diets in Brazil.

The nutritional quality of dietary patterns in Brazil was examined as influenced by income level, region, and urbanization by calculating nutrient to calorie ratios and amino acid scores. In general, income level had only a minor influence on diet quality. Riboflavin and calcium were generally low in the low income groups in all regions, especially in urban areas. Thiamin intake was marginal in urban areas at all income levels. Protein quality appeared to be relatively independent of income, with two exceptions. These were the dietary patterns of the lowest income groups in the rural Northeast and the City of Sao Paulo which were somewhat limiting in methionine and lysine, respectively. In contrast, the total availability of calories and protein was greatly dependent on income and the lowest income families were seriously short of food. Income, therefore, appeared to be more important in determining the total amount of food available to a family in Brazil than in affecting the nutritional quality of the diet.

Amino Acids↗

PubMed2005

Income inequality and alcohol use: a multilevel analysis of drinking and drunkenness in adolescents in 34 countries.

BACKGROUND: Economic inequality has been hypothesized to be a health determinant, independent of poverty and household income. The goal of this study was to explore the contextual influences of income inequality on alcohol use and frequency of drunkenness in adolescents. METHODS: The Health Behaviour in School-aged Children study surveyed 162 305 adolescents (ages 11, 13 and 15 years) in 34 countries, providing self-report data on family affluence, alcohol consumption and episodes of drunkenness. Country-level data on income inequality and overall wealth were retrieved from the United Nations Development Program. RESULTS: Multilevel logistic regression revealed that 11- and 13-year-olds in countries of high income inequality consumed more alcohol than their counterparts in countries of low income inequality (after adjustment for sex, family affluence and country wealth). No such effect on alcohol consumption was found in 15-year-olds. Eleven-year-olds in countries of high income inequality reported more episodes of drunkenness than their counterparts in countries of low income inequality. No such effect of income inequality on drunkenness was found in 13- or 15-year-olds. CONCLUSIONS: Income inequality may have a contextual influence on the use of alcohol among younger adolescents. Findings suggest that economic policies that affect the distribution of wealth within societies may indirectly influence the use of alcohol during early and mid-adolescence.

Adolescent↗

PubMed2006

Are manual workers at higher risk of death than non-manual employees when living in Swedish municipalities with higher income inequality?

OBJECTIVES: To test the hypothesis that manual workers are at higher risk of death than are non-manual employees when living in municipalities with higher income inequality. DESIGN: Hierarchical regression was used for the analysis were individuals were nested within municipalities according to the 1990 Swedish census. The outcome was all-cause mortality 1992-1998. The income measure at the individual level was disposable family income weighted against composition of family; the income inequality measure used at the municipality level was the Gini coefficient. PARTICIPANTS: The study population consisted of 1 578 186 people aged 40-64 years in the 1990 Swedish census, who were being reported as unskilled or skilled manual workers, lower-, intermediate-, or high-level non-manual employees. RESULTS: There was no significant association between income inequality at the municipality level and risk of death, but an expected gradient with unskilled manual workers having the highest risk and high-level non-manual employees having the lowest. However, in the interaction models the relative risk (RR) of death for high-level non-manual employees was decreasing with increasing income inequality (RR = 0.77; 95% CI, 0.63-0.93), whereas the corresponding risk for unskilled manual workers increased with increasing income inequality (RR = 1.24; 95% CI, 1.06-1.46). The RRs for skilled manual, low- and medium- level non-manual employees were not significant. Controlling for income at the individual level did not substantially alter these findings, neither did potential confounders at the municipality level. CONCLUSIONS: The findings suggest that there could be a differential impact from income inequality on risk of death, dependent on individuals' social position.

Adult↗

PubMed2005

Contextual effect of income inequality on birth outcomes.

BACKGROUND: Though associations between income inequality and birth outcome have been suggested, mechanisms underlying this relationship are not known. In this analysis, we examined the relationship between income inequality and preterm birth (PTB) and post-neonatal mortality (PNM) to explore two potential mechanisms-the proposed psychosocial stress and neo-material pathways. METHODS: Data on singleton births from 1998 to 2000 were obtained from the CDC's National Center for Health Statistics' Linked Birth and Infant Death files. The Gini Index was utilized to measure income inequality and was divided into tertiles representing high, medium, and low county-level inequality. To determine the association between the birth outcomes and county income inequality and to account for clustering within counties, we employed generalized estimating equation (GEE) modelling. RESULTS: PTB increased from 8.3% in counties with low income inequality to 10.0% in counties with high inequality. The Gini Index remained modestly associated with PTB after adjusting for individual level variables and mean county-level per capita income within the total population (AOR: 1.06; 95% CI 1.03-1.09) as well as within most of the racial/ethnic groups. PNM increased from 1.15 deaths per 1000 live births in low inequality counties to 1.32 in high-inequality counties. However, after adjustment, income inequality was only associated with PNM within the non-Hispanic black population (AOR: 1.20; 95% CI 1.03-1.39). CONCLUSIONS: These findings may provide some support for the association between income inequality and PTB. Further research is required to elucidate the biological mechanisms of income inequality.

Adult↗

PubMed1999

Income inequality and mortality in England.

BACKGROUND: Despite the increasing evidence that income inequality causes reductions in life expectancy in developed countries, this relationship has not been explored in the United Kingdom, where local income data are not routinely available. We have surmounted this problem by employing an ecological design which applies national income data to local mortality and occupational data. METHODS: This ecological, cross-sectional study used 1991 mortality and Census data on the 366 English local government districts, and 1991 New Earnings Survey data for England, to determine the independent effect of income inequalities within English local authorities on the variation in all cause mortality between them. The subjects were all men and women recorded as economically active in the 1991 Census. We carried out linear regression analyses between all cause, all ages standardized mortality ratios, income inequality indexes and mean income levels of the local government districts. Results Both income inequality and mean income were independently associated with mortality. CONCLUSIONS: It is likely that income inequality makes an independent contribution to life expectancy in English local authorities. This finding adds further to the international evidence supporting the potentially positive health impact of increasing the scale of redistributive fiscal policies.

Cross-Sectional Studies↗

PubMed1999

Current income profile for academic pediatric emergency medicine faculty.

STUDY OBJECTIVES: To survey academic pediatric emergency medicine (PEM) programs for information on financial compensation and patient care activities of PEM faculty and compare the results to the financial data published by the AAEM, AAAP, and MGMA. METHODS: A survey was mailed to program directors requesting information on medical school affiliation, ED census, recruitment, patient care activity and annual income for each academic rank. The survey also included questions on CME benefits, and income adjustment mechanisms/bonus plans for PEM faculty. The survey income data were stratified by program size and geographic region and then compared to income data from the AAMC, AAAP, and MGMA. RESULTS: Of 47 eligible programs, 37 (78.7%) responded,and four were excluded. Mean number of clinical hours per week for academic faculty and clinical faculty were 27.9 +/- 3.5 and 32.4 +/- 3.9, respectively, (P = 0.000). Clinical appointments in academic departments were offered by 82% of the programs. Mean annual income for all academic ranks was $121,503 +/- $15,795, and is nearly $37,000 less than the annual income for academic adult emergency medicine (AEM) faculty. Compared to medium and large programs, small programs are offering higher salaries to recent fellowship graduates (P = 0.004). When income data were stratified by program size or geographic region, no significant difference in average annual income was observed. Bonus or incentive plans were available only in 45.5% of the programs. CONCLUSION: Direct patient care responsibility of PEM academic faculty has not changed significantly in the past 13 years, despite the availability of clinical appointments within most of the surveyed programs. Our data indicate that the annual income for PEM faculty in academic institutions is significantly less than AEM faculty. No significant difference was observed between programs at the assistant, associate, or full professor level when stratified by size or geographic region. Bonus/incentive plans for exceptional patient care or scholarly activity were available in less than half of the surveyed programs.

Data Collection↗

PubMed2004

Quantifying income-related inequality in healthcare delivery in the United States.

BACKGROUND: Numerous studies have found that high-income Americans use more medical care than their low-income counterparts, irrespective of medical "need." The methods employed in these studies, however, make it difficult to evaluate differences in the degree of income-related inequality in utilization across population subgroups. In this study, we derive a summary index to quantify income-related inequality in need-adjusted medical care expenditures and report values of the index for adults and children in the United States. METHODS: We used the summary index of income-related inequality in expenditures developed by Wagstaff et al. 1 The source of data for the study was the Household Component of the 1996-1998 Medical Expenditure Panel Survey, which contains person-level data on medical care expenditures, demographic characteristics, household income, and a wide array of health status measures. We used multivariate regression analysis to predict need-adjusted annual medical care expenditures per person by income level and used the predictions to calculate the indices of inequality. Separate indices were calculated for all adults, working-age adults, seniors, and children ages 5 to 17. RESULTS: For all age groups, predicted expenditures per person, adjusted for medical need, generally increased as income rose. The index of inequality for all adults was +0.087 (95% confidence interval, +0.035, +0.139); for working-age adults, +0.099 (+0.046, +0.152); for seniors, +0.147 (+0.059, +0.235); and for children, +0.067 (+0.006, +0.128). CONCLUSIONS: There exists income-related inequality in medical care expenditures in the United States, and it favors the wealthy. The inequality is highest among seniors despite Medicare, intermediate among working-age adults, and lowest among children.

Adolescent↗