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Income and assets of Social Security beneficiaries by type of benefit.

The SIPP data have provided a first look at the relative economic status of various types of Social Security beneficiaries. They have shown that the different types of Social Security beneficiaries face very different economic circumstances. Retired workers and wife beneficiaries have the highest family incomes adjusted for family size. Aged widows and minor children have the lowest family incomes, with high proportions of poor or near poor. And disabled workers are in between, but also have high proportions of poor or near poor. Retired-worker and wife beneficiary households also have considerably more asset holdings than disabled-worker or widow beneficiary households. Beneficiaries with high family incomes are very likely to live with relatives and to rely heavily on the relatives' income. The high-income families tend to have non-means-tested sources of family income other than Social Security amounting to substantial proportions of their total income and to have high asset holdings. Conversely, beneficiaries with low family incomes are very likely to live alone or with nonrelatives, to rely heavily on Social Security and means-tested benefits, and to have low asset holdings. A majority of ever-poor beneficiaries (with the exception of widow beneficiaries) are poor in only some months of a year. This situation is not consistent with the stereotype of beneficiaries living on fixed incomes. But the change in poverty status is often due to a change in the income of other family members rather than of the beneficiary. And in some cases, a change in poverty status occurs with little or no change in income as the cost of living rises.

Aged↗

Developmental services in primary care for low-income children: clinicians' perceptions of the Healthy Steps for Young Children program.

Difficulties with providing quality primary health care for low-income Americans have been well documented. Few studies have addressed the challenges faced by pediatric clinicians serving low-income families or whether practice-based interventions improve clinicians' ability to provide quality preventive health services. We investigated if, over time, the Healthy Steps for Young Children program affected the practices and perceptions of clinicians in pediatric primary care practices serving low-income families compared to practices serving more affluent families. Self-administered questionnaires were completed at baseline (N = 104) and at 30 months (N = 91) by clinicians at 20 pediatric practices participating in the Healthy Steps program. Practices were divided into three groups: those serving families with low, middle, and high incomes. Barriers to providing care, provision of preventive developmental services, and perceptions of care were assessed at baseline and at 30 months after introducing the program. Across all income groups and over time, clinicians were more likely to report the provision of preventive developmental health services. Clinicians in low-income practices reported increased problems with both reimbursement and time barriers; clinicians in high-income practices reported increased problems with reimbursement. At 30 months, clinicians serving low-income families reported the greatest positive changes in their perceptions about the quality of care provided by their practices. They also were more likely to strongly agree that they gave support to families and to be very satisfied with the ability of their clinical staff to meet the developmental needs of children. We found that Healthy Steps was successful in universally increasing developmental services despite the reported practice barriers for both low- and high-income practices. The Healthy Steps program enabled low-income practices to achieve similar levels of clinician satisfaction as middle- and high-income practices despite having reported lower levels at the beginning months of the program.

Child↗

Home visits by family physicians during the end-of-life: Does patient income or residence play a role?

BACKGROUND: With a growing trend for those with advanced cancer to die at home, there is a corresponding increase in need for primary medical care in that setting. Yet those with lower incomes and in rural regions are often challenged to have their health care needs met. This study examined the association between patient income and residence and the receipt of Family Physician (FP) home visits during the end-of-life among patients with cancer. METHODS: Data Sources/Study Setting. Secondary analysis of linked population-based data. Information pertaining to all patients who died due to lung, colorectal, breast or prostate cancer between 1992 and 1997 (N = 7,212) in the Canadian province of Nova Scotia (NS) was extracted from three administrative health databases and from Statistics Canada census records. Study Design. An ecological measure of income ('neighbourhood' median household income) was developed using census information. Multivariate logistic regression was then used to assess the association of income with the receipt of at least one home visit from a FP among all subjects and by region of residency during the end-of-life. Covariates in the initial multivariate model included patient demographics and alternative health services information such as total days spent as a hospital inpatient. Data Extraction Methods. Encrypted patient health card numbers were used to link all administrative health databases whereas the postal code was the link to Statistics Canada census information. RESULTS: Over 45% of all subjects received at least one home visit (n = 3265). Compared to those from low income areas, the log odds of receiving at least one home visit was significantly greater among subjects who reside in middle to high income neighbourhoods (for the highest income quintile, adjusted odds ratio [OR] = 1.37, 95% confidence interval [CI] = 1.15, 1.64; for upper-middle income, adjusted OR = 1.19, 95%CI = 1.02, 1.39; for middle income, adjusted OR = 1.33, 95%CI = 1.15, 1.54). This association was found to be primarily associated with residency outside of the largest metropolitan region of the province. CONCLUSION: The likelihood of receiving a FP home visit during the end-of-life is associated with neighbourhood income particularly among patients living outside of a major metropolitan region.

Journal Article↗

Pathbreaking Congressional Budget Office study shows dramatic increases in income disparities in the 1980s and 1990s: an analysis of the CBO data.

Researchers at the Center on Budget and Policy Priorities analyze the data presented in a Congressional Budget Office study that includes the best data any agency or institution has compiled on income and tax trends in recent decades. The CBO report shows that the average after-tax income of the richest 1 percent of Americans grew by $414,000 between 1979 and 1997 (after adjusting for inflation) while average after-tax income fell $100 for the poorest 20 percent of Americans and grew a modest $3,400 for those in the middle of the income spectrum. In percentage terms, after-tax income grew an average of 157 percent over this period for the top 1 percent, rose a modest 10 percent for the middle 20 percent, and was effectively unchanged for those in the bottom fifth. Income gaps between rich and poor and between the rich and the middle class widened in the 1980s and 1990s and reached their widest point on record in 1997. Even before enactment of the 2001 federal tax cuts, the percentage of income Americans pay in federal taxes has declined since 1979 for every income group. By one key measure, the percentage of income paid in federal taxes fell the most for those with the highest incomes.

Budgets↗

Is magnitude of co-payment effect related to income? Using census data for health services research.

This study: (1) describes and evaluates a method for estimating household income using home addresses in conjunction with census data, and (2) uses this method in a study designed to determine if the introduction of copayments caused primary care office visit rates to decrease more for lower income enrollees than for higher income enrollees of a large health maintenance organization (HMO). Each step in the process of linking income estimates for small census units (block groups) to specific home addresses is described and the validity and precision of these estimates is assessed through comparisons of estimated income with self-reported income for residents of the Puget Sound area of Washington state. Although subject to considerable measurement error, this approach provided valid income estimates. This method was then used to estimate the incomes of over 20,000 households of HMO enrollees in a controlled study of the relationship between copayment effect on visit rates and enrollee income. Copayments were found to have a similar effect on higher and lower income enrollees.

Adult↗

Age- and sex-specific income gradients in alcohol-related hospitalization rates in an urban area.

PURPOSE: This study examines the effects of age and sex on the relationship between neighborhood income and alcohol-related hospitalization rates in a large urban area. METHODS: Adults in Toronto, Canada, who were hospitalized with an alcohol-related condition between 1995 and 1998 were identified using discharge diagnoses. Income quintiles were determined based on area of residence. Annual rates of hospitalization for alcohol-related conditions per 10,000 individuals were calculated. RESULTS: Rates of hospitalization with a primary diagnosis of an alcohol-related condition were similar among men age 20 to 39 in all incomes quintiles, but were inversely associated with income among men age 40 to 64 (28.8 and 13.3 per 10,000 in the lowest and highest income quintiles). Among women age 40 to 64, the lowest income quintile had the highest hospitalization rate (12.1 per 10,000), but women in all other income quintiles had relatively low hospitalization rates (5.9 to 7.7 per 10,000). As age increased above 65 years, rates of hospitalization with a primary diagnosis of an alcohol-related condition decreased or stabilized in both men and women. CONCLUSIONS: The inverse association between income level and alcohol-related hospitalization rates becomes apparent after age 40. A gradient in hospitalization rates is seen in men across all income levels, but in women a prominent effect is seen only in those with the lowest income.

Adult↗

Using a population-based database to explore the inter-specialty differences in physician practice incomes in Taiwan.

Gaining an understanding of the distribution of physician incomes between different medical specialties could assist policymakers to predict the future medical manpower supply. The purpose of this study is to examine the differences in medical specialty-specific gross practice incomes between office-based physicians in Taiwan. The primary data source for the study, which includes 7444 office-based physicians, was provided by the Taiwan Department of Health, with the dependent variable of interest to this study being the annual gross income of physician practices, whilst the independent variable is physician specialty. The study controlled for physicians' age, gender, specialty-board status, type of practice, location of clinic and urbanization level of the community in which the practice was located. Multivariate regression analyses were carried out to explore the relationship between physician specialty and gross practice income. This study finds a significant relationship between the annual gross income of physician practices and the physician's medical specialty (P < 0.001). Of all physicians, those specializing in rehabilitation and orthopedics had the highest gross practice incomes; conversely, obstetricians and gynecologists had the lowest gross practice incomes. The regression analyses demonstrated that after adjusting for socio-demographic and professional characteristics, gross practice incomes of physicians were significantly related to their medical specialty. This study concludes that differences in the gross practice incomes of physicians were significantly related to medical specialties. Those physicians specializing in procedure-based specialties, such as rehabilitation and orthopedics, had higher practice incomes than their counterparts in other more diagnosis-oriented specialties such as family practice and pediatrics.

Adult↗

Relative income, race, and mortality.

This paper examines the relationship between relative income and mortality. Our research is motivated by recent literature that posits that, holding individual income fixed, those whose income are low relative to the incomes of those in a reference group will have worse health. We develop an empirical model in which an individual's health is a function of his or her own income and the incomes of those who live in the same geographical area. We show how this individual-level model can be estimated using semi-aggregated data on the mortality rates of people categorized by age, race, gender, and place of residence. The model is estimated using mortality data from the 1980 and 1990 Compressed Mortality Files, merged with income data from the 1980 and 1990 5% Public Use samples of the US Census. We find no evidence that having relatively wealthy neighbors, holding own income fixed, is associated with higher mortality. Instead, we find evidence that among some demographic and age groups--in particular working-aged black males--having relatively wealthy neighbors is associated with lower mortality. For example, among younger (aged 25-64) black men, an increase in the income of others is estimated to have a beneficial effect on mortality that is 40% as large as an equivalent increase in own income.

Adolescent↗

Health inequalities by wage income in Sweden: the role of work environment.

The main aim of this study was to explore the mediating role made by work environment to health inequalities by wage income in Sweden. Gender differences were also analysed. Data from the Swedish Survey of Living Conditions for the years 1998 and 1999 were analysed. Employed 20-64-year olds with a registered wage were included (nearly 6000 respondents). Sex-specific logistic regressions in relation to global self-rated health were applied. Those in the lowest income quintile had 2.4 times (men) and 4.3 times (women) higher probability of less than good health than did those in the highest quintile (adjusted for age, family status, country of birth, education level, smoking and full-time work). The mediating contribution of work environment factors to the health gradient by income was 25 per cent (men) and 29 per cent (women), respectively. This contribution was observed mainly from ergonomic and physical exposure, decision authority and skill discretion. Psychological demands did not contribute to such inequalities because mentally demanding work tasks are more common in high income as compared with low income jobs. Using sex-specific income quintiles, instead of income quintiles for the entire sample, gave very similar results. In conclusion, work environment factors can be seen as important mediators for the association between wage income and ill health in Sweden. A larger residual effect of income on health for women as compared with men suggests that one's own income from work is a more important determinant of women's than men's ill health in Sweden.

Adult↗

Further examination of the cross-country association between income inequality and population health.

Several scholars have put forward the view that the estimates by Rodgers [(1979). Income and inequality as determinants of mortality: An international cross-section analysis. Population Studies, 33 (2), 343-351], Flegg [(1982). Inequality of income, illiteracy and medical care as determinants of infant mortality in underdeveloped countries. Population Studies, 36 (3), 441-458] and Waldmann [(1992). Income distribution and infant mortality. Quarterly Journal of Economics, 107 (4), 1283-1302] showing a negative cross-country association between income inequality and population health, cannot be replicated from recent data. In view of the importance of this matter, the present study further examines the issue from the most recent, and probably more accurate, data for the largest cross-country sample used in this line of research. The main conclusion is that the negative cross-country association between income inequality and good health, reported by Rodgers, Flegg, and Waldmann, is replicated very well. The different findings indicated by some scholars may have been due to their samples or the models being unusual. Therefore, the recent skepticism about the existence of such a negative association needs to be reconsidered. Several additional points are also noted. First, income inequality shows significance even after an index of ethnic heterogeneity is included. Second, ethnic heterogeneity itself has a negative association with population health. Third, income inequality retains significance in the presence of a measure of social capital. Fourth, however, the association between the measure of social capital and population health appears weak. Fifth, a simple analysis does not support the view that the positive association between income inequality and infant mortality in less developed countries (LDCs) may just be a reflection of the role of poverty. Finally, there is some support for the proposition that while income may be relatively more important for health in LDCs, the role of income inequality may be stronger in developed economies.

Cross-Cultural Comparison↗

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.

Adolescent↗

Aggregation and the measurement of income inequality: effects on morbidity.

This is a cross-sectional study using records from the National Health Interview Survey linked to Census geography. The sample is restricted to white males ages 25-64 in the United States from three years (1989-1991) of the National Health Interview Survey. Perceived health is used to measure morbidity. Individual covariates include income-to-needs ratio, education and occupation. Contextual level measures of income inequality, median household income and percent in poverty are constructed at the US census county and tract level. The association between inequality and morbidity is examined using logistic regression models. Income inequality is found to exert an independent adverse effect on self-rated health at the county level, controlling for individual socioeconomic status and median income or percent poverty in the county. This corresponding effect at the tract level is reduced. Median income or percent poverty and individual socioeconomic status are the dominant correlates of perceived health status at the tract level. These results suggest that the level of geographic aggregation influences the pathways through which income inequality is actualized into an individuals' morbidity risk. At higher levels of aggregation there are independent effects of income inequality, while at lower levels of aggregation, income inequality is mediated by the neighborhood consequences of income inequality and individual processes.

Adult↗

A multilevel analysis of income inequality and cardiovascular disease risk factors.

Recent research has suggested that inequality in the distribution of income is associated with increased mortality, even after accounting for average income levels. Using data from the Behavioral Risk Factor Surveillance System (BRFSS), we investigated whether inequality in the distribution of income within US states is related to the prevalence of four cardiovascular disease risk factors (body mass index (BMI), history of hypertension, sedentarism, and smoking). Multilevel models (including both state-level and individual-level variables) were used to examine associations of state inequality with risk factor levels before and after adjustment for individual-level income. For three of the four risk factors investigated (BMI, hypertension, and sedentarism), state inequality was associated with increased risk factor levels, particularly at low income levels (annual household incomes <$25,000), with associations persisting after adjustment for individual-level income. Inequality was also positively associated with smoking, but associations were either stronger or only present at higher income levels. Associations of inequality with the outcomes were statistically significant in women but not in men. Although not conclusive, findings for three of the four risk factors are suggestive of a contextual effect of income inequality, particularly among persons with lower incomes.

Adult↗

Income differences in food consumption in the 1995 Australian National Nutrition Survey.

OBJECTIVE: To assess the relationships between an index of per capita income and the intake of a variety of individual foods as well as groups of food for men and women in different age groups. DESIGN: Cross-sectional national survey of free-living men and women. SUBJECTS: A sample of 5053 males and 5701 females aged 18 y and over who completed the Australian National Nutrition Survey 1995. METHODS: Information about the frequency of consumption of 88 food items was obtained. On the basis of scores on the Food Frequency Questionnaire, regular and irregular consumers of single foods were identified. The relationships between regularity of consumption of individual foods and per capita income were analysed via contingency tables. Food variety scores were derived by assigning individual foods to conventional food group taxonomies, and then summing up the dichotomised intake scores for individual foods within each food group. Two-way ANOVA (income x age group) were performed on the food variety scores for males and females, respectively. RESULTS: Per capita income was extensively related to the reported consumption of individual foods and to total and food group variety indices. Generally, both men and women in low income households had less varied diets than those in higher-income households. However, several traditional foods were consumed less often by young high-income respondents, especially young women. CONCLUSIONS: Major income differentials in food variety occur in Australia but they are moderated by age and gender. Younger high-income women, in particular, appear to have rejected a number of traditional foods, possibly on the basis of health beliefs. The findings also suggest that data aggregation has marked effects on income and food consumption relationships.

Adolescent↗

County-level income inequality and depression among older Americans.

OBJECTIVES: To examine (1) whether county-level income inequality is associated with depression among Americans aged 70 and older, taking into consideration county-level mean household income and individual-level socioeconomic status (SES), demographic characteristics, and physical health, and (2) whether income inequality effects are stronger among people with lower SES and physical health. DATA SOURCES: The individual-level data from the first wave of the Assets and Health Dynamics among the Oldest Old survey (1993-1994) were linked with the county-level income inequality and mean household income data from the 1990 Census. STUDY DESIGN: Multilevel analysis was conducted to examine the association between income inequality (the Gini coefficient) and depression. PRINCIPAL FINDINGS: Income inequality was significantly associated with depression among older Americans. Those living in counties with higher income inequality were more depressed, independent of their demographic characteristics, SES, and physical health. The association was stronger among those with more illnesses. CONCLUSIONS: While previous empirical research on income inequality and physical health is equivocal, evidence for income inequality effects on mental health seems to be strong.

Age Factors↗

High and low incomes in general practice.

The Review Body on Doctors' and Dentists' Remuneration deals with average incomes and costs, and little evidence is available on local variability. In a study on general practice the distribution of high and low incomes was assessed. High income practices (defined as those with net incomes per partner of more than 35,000 pounds a year) were more likely to be larger, to have younger partners, and to be located in affluent areas. Low income practices (with a net income of less than 20,000 pounds per partner) were smaller, located in more urban areas, and more likely to have Asian partners. High income practices had higher costs per patient and more staff resources. Low income practices had fewer practice resources and faced great disincentives to investment. These practices were concentrated in less affluent areas, where the need for improved organisation of practices is greatest. General practice is becoming increasingly divided between high income, high cost practices and those with low incomes and few resources.

England↗

Inequalities in income and long-term disability in Spain: analysis of recent hypotheses using cross sectional study based on individual data.

OBJECTIVE: To compare the relation between inequalities in long-term disability and income in the 17 regions of Spain. DESIGN: Data were taken from the survey on impairments, disabilities, and handicaps that was carried out in Spain in 1986. For each region the inequality in long-term disability associated with income was calculated as the odds ratio associated with reducing monthly household income by 10,000 pesetas (about Ponds 50) (estimate of effect of inequality of income) and the odds ratio for the inequality in long-term disability between those at the bottom and those at the top of the income hierarchy (relative index of inequality). MAIN OUTCOME MEASURE: Prevalence of long-term disability. RESULTS: Five of the eight regions where lowering income had a greater effect on long-term disability were among those with the lowest income per head, while six of the remaining nine regions where the effect was smaller were among those with the highest income per head. Three regions with the highest estimate of relative index of inequality had the highest estimate of effect, and another three regions with the lowest estimate of relative index of inequality had the lowest estimate of effect. In contrast, the relative position of the remaining 11 regions varied from one measure to another. CONCLUSIONS: These results support the theory that additional increments in material wellbeing have a negligible effect on health in countries with high socioeconomic development. However, inequality in income distribution did not determine inequality in health between those at the bottom and those at the top of the income hierarchy in many Spanish regions.

Cost of Illness↗

Economic transition and changing relation between income inequality and mortality in Taiwan: regression analysis.

OBJECTIVE: To examine the changing relation between income inequality and mortality through different stages of economic development in Taiwan. DESIGN: Regression analysis of mortality on income inequality for three index years: 1976, 1985, and 1995. SETTING: 21 counties and cities in Taiwan. MAIN OUTCOME MEASURES: All age mortality and age specific mortality in children under age 5. RESULTS: When median household disposable income was controlled for, the association between income inequality and mortality became stronger in 1995 than in 1976. Especially, the association between income inequality and mortality in children aged under 5, with adjustment for differences in median household disposable income, changed from non-significant in 1976 to highly significant in 1995. In 1995, the level of household income after adjustment for income distribution no longer had a bearing on mortality in children under 5. CONCLUSION: The health of the population is affected more by relative income than by absolute income after a country has changed from a developing to a developed economy.

Adolescent↗