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PubMed2003

Effects of low income on infant health.

BACKGROUND: Few population-based studies have analyzed the link between poverty and infant morbidity. In this study, we wanted to determine whether inadequate income itself has an impact on infant health. METHODS: We interviewed 2223 mothers of 5-month-old children participating in the 1998 phase of the Quebec Longitudinal Study of Child Development to determine their infant's health and the sociodemographic characteristics of the household (including household income, breast-feeding and the smoking habits of the mother). Data on the health of the infants at birth were taken from medical records. We examined the effects of household income using Statistics Canada definitions of sufficient (above the low-income threshold), moderately inadequate (between 60% and 99% of the low-income threshold) and inadequate (below 60% of the low-income threshold) income on the mother's assessment of her child's overall health, her report of her infant's chronic health problems and her report of the number of times, if any, her child had been admitted to hospital since birth. In the analysis, we controlled for factors known to affect infant health: infant characteristics and neonatal health problems, the mother's level of education, the presence or absence of a partner, the duration of breast-feeding and the mother's smoking status. RESULTS: Compared with infants in households with sufficient incomes, those in households with lower incomes were more likely to be judged by their mothers to be in less than excellent health (moderately inadequate incomes: adjusted odds ratio [OR] 1.5, 95% confidence interval [CI] 1.1-2.1; very inadequate incomes: adjusted OR 1.8, 95% CI 1.3-2.6). Infants in households with moderately inadequate incomes were more likely to have been admitted to hospital (adjusted OR 1.8, 95% CI 1.2-2.6) than those in households with sufficient incomes, but the same was not true of infants in households with very inadequate incomes (adjusted OR 0.7, 95% CI 0.4-1.2). Household income did not significantly affect the likelihood of an infant having chronic health problems. INTERPRETATION: Less than sufficient household incomes are associated with poorer overall health and higher hospital admission rates among infants in the first 5 months of life, even after adjustment for factors known to affect infant health, including the mother's level of education.

Adult↗

PubMed2005

Income inequality and mortality in Italy.

BACKGROUND: The relationship between income inequality and health remains controversial in terms of whether or not it exists and, if so, its extent and the mechanisms involved. This study examines the relationship between income inequality, as indicated by the Gini coefficient, and mortality in Italy. METHODS: Cross-sectional ecological study on the 57,138,489 inhabitants living in the 95 provinces existing in Italy in 1994. Multivariate weighted regression analysis of total and age-specific mortality, income inequality, gender, and interaction between income inequality and median income or geographical area. RESULTS: A positive association between income inequality and total mortality was observed for both genders in provinces with a low per capita income and in Southern and Central Italy. The effect was present for infants and for persons over 24 years of age; it was marked for the elderly, particularly women. A negative association with mortality was observed for males living in the North-west. Interactions between income inequality and median income, and between income inequality and geographical area were found. CONCLUSION: In Italy, the relationship between income inequality and health is mixed and not universal, in so far as a positive association was observed only in provinces with lower absolute income. Elderly persons living in Southern Italy represent the population subgroup most vulnerable to unequal income distribution. Income inequality can, in part, explain the historically higher mortality among women in Southern Italy compared to women in the North. These results indicate that income inequality affects the health of population subgroups differentially.

Adolescent↗

PubMed2006

Income and employment of people living with combined HIV/AIDS, chronic mental illness, and substance abuse disorders.

BACKGROUND: This paper examines the labor market outcomes of HIV triply-diagnosed adults having a combination of HIV, mental illness and substance abuse problems. AIMS OF THE STUDY: We sought to determine the sources of money income for HIV triply diagnosed adults (public or private), receipt of transfer income (e.g., welfare) and financial support from others. We further sought to ascertain their employment status and analyze the characteristics associated with full- and part-time employment. METHODS: We use self-reported money income during the past 30 days and self-reported employment status. We calculate earnings losses due to illness by subtracting self-reported earnings from average earnings for all U.S. workers based on 5-year age and gender categories. We provide descriptive statistics to show how income and employment vary by patient characteristics and logistic regression analysis to examine correlates of income and employment. RESULTS: Average income is below the poverty level for single individuals, with more than two-thirds coming from public income sources. The likelihood of receiving disability/retirement income was lower among those with the worst mental health (RR=0.80; 95% CI=0.64, 0.97). Blacks were more likely than others to rely on public assistance (RR=1.24; 95% CI=1.02, 1.55) and married individuals were less likely (RR=0.60; 95% CI=0.41, 0.79). While most private income comes from employment, less than 15 percent of this population is employed full- or part-time. On a monthly basis, the average individual in our sample lost $2,726 in income when compared to the earnings of individuals of the same age and sex in the general population. The relative probability of current full-time/part-time employment was lower among females (RR=0.56; 95% CI=0.34, 0.83); such employment also was lower among those in the worst physical health (RR=0.39; 95% CI=0.26, 0.65) and those in moderate physical health (RR=0.55; 95% CI=0.34, 0.81) relative to those in the best physical health. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: This population represents an important opportunity for better health and labor market outcomes through prevention and improved treatment adherence. IMPLICATIONS FOR HEALTH POLICIES: Despite its relatively small size (at least 100,000), this population merits closer attention due to a combination of their high medical and companion social costs (e.g., income transfers) and the large potential for improving their ability to earn income. IMPLICATIONS FOR FURTHER RESEARCH: Future research should determine the marginal contribution of mental health conditions or substance abuse on income or labor market outcomes relative to individuals having only HIV/AIDS. This would allow policymakers to better understand how much of income and employment can be attributed to HIV/AIDS, mental health or substance abuse. Future work also should examine the impact of integrated treatment services on income and employment for this population.

Acquired Immunodeficiency Syndrome↗

PubMed1987

Income of new disabled-worker beneficiaries and their families: findings from the New Beneficiary Survey.

In 1982, disabled workers who came on the social security disability insurance rolls from mid-1980 to mid-1981 had median monthly incomes of less than $500 if they were unmarried and less than $1,300 if they were married. These median monthly income levels, which include the income of a spouse and minor children if present, are roughly half those of the noninstitutionalized population aged 25-64. Social security benefits are the most important source of income for disabled workers and their families: They account for 40 percent of the total family income of married disabled workers and 65 percent of the total income of unmarried disabled workers. Social security benefits provide at least half of all income for more than 80 percent of unmarried disabled-worker beneficiaries and for 50 percent of the married beneficiaries. For married disabled-worker beneficiaries, earnings of the spouse are the second most important income source. Spousal earnings account for 28 percent of total income. Pensions and asset income each account for about 10 percent of total income for these married beneficiaries. Earnings are not an important source of income for unmarried disabled-worker beneficiaries for whom they amount to only about 3 percent of total income. Pensions, asset income, and public transfers each account for about 10 percent of total income of the unmarried beneficiaries.

Adult↗

PubMed2005

Shifting dollars, saving lives: what might happen to mortality rates, and socio-economic inequalities in mortality rates, if income was redistributed?

Personal or household income predicts mortality risk, with each additional dollar of income conferring a slightly smaller decrease in the mortality risk. Regardless of whether levels of income inequality in a society impact on mortality rates over and above this individual-level association (i.e., the 'income inequality hypothesis'), the current consensus is that narrowing income distributions will probably improve overall health status and reduce socio-economic inequalities in health. Our objective was to quantify this impact in a national population using 1.3 million 25-59-year-old respondents to the New Zealand 1996 census followed-up for mortality over 3 years. We modelled 10-40% shifts of everyone's income to the mean income (equivalent to 10-40% reductions in the Gini coefficient). The strength of the income-mortality association was modelled using rate ratios from Poisson regression of mortality on the logarithm of equivalised household income, adjusted for confounders of age, marital status, education, car access, and neighbourhood socio-economic deprivation. Overall mortality reduced by 4-13% following 10-40% shifts in everyone's income, respectively. Inequalities in mortality reduced by 12-38% following 10-40% shifts in everyone's income. Sensitivity analyses suggested that halving the strength of the income-mortality association (i.e., assuming our multivariable estimate still overestimated the causal income-mortality association) would result in 2-6% reductions in overall mortality and 6-19% reductions in inequalities in mortality in this New Zealand setting. Many commentators have noted the non-linear association of income with mortality predicts that narrowing the income distribution will both reduce overall mortality rates and reduce inequalities in mortality. Quantifying such reductions can only be done with considerable uncertainty. Nevertheless, we tentatively suggest that the gains in overall mortality will be modest (although still potentially worthwhile from a policy perspective) and the reductions in inequalities in mortality will be more substantial.

Adult↗

PubMed1975

Dietary survey of low-income, rural families in Iowa and North Carolina. II. Family distribution of dietary adequacy.

Distribution patterns of Iowa and North Carolina families for dietary adequacy at various income levels were compared according to: (a) two family dietary standards, based on the 1968 Recommended Dietary Allowance and the Ten-State Nutrition Survey dietary standards, and (b) two income standards, family income and per capita income. A 24-hr. recall method was used to collect the dietary data. Nutrients studied included: protein, calcium, iron, vitamin A, ascorbic acid, thiamin, and riboflavin. Clear differences emerged in family distribution patterns by the two dietary standards and by the two income standards. Comparison of family distribution patterns for dietary intake by the two standards showed that percentages of families with poor nutrient intakes were lower by Ten-State evaluation than for the recommended allowance evaluation, except for protein and iron. For example, the percentage of families with poor calcium intakes, by Ten-State criteria, was approximately half that measured by the recommended allowances. While, according to the latter, calcium was the most limiting nutrient in many family diets, vitamin A was most limiting by Ten-State evaluation. The proportions of families with poor ascorbic acid, thiamin, and riboflavin intakes were also lower by Ten-State standards. While the iron adequacy remained approximately the same by both dietary standards, the percentage of families with poor protein intakes was higher by the Ten-State criteria. A higher percentage of families at each income level had fair and good diets by Ten-State comparison. Family distribution patterns for intakes of individual nutrients at various family income levels demonstrated a positive relationship between nutritional intake and income. Proportions of families with poor nutrient intakes according to per capita income tended to increase with the income level. For both income standards, the percentages of families with good and fair diets in the total family sample gradually increased with income. Percentages of Iowa families with fair and good diets at various income levels were, in general, higher than those of North Carolina families. The lowest and the highest percentages of families with poor diets of two population groups were higher for per capita income distribution than for family income distribution.

Adolescent↗

PubMed2005

Comparison or consumption? Distinguishing between different effects of income on health in Nordic welfare states.

In the relation between income and health it has been suggested that individual level mechanisms are related either to absolute or to relative income. Both absolute income level and the individual's own income in relation to that of others are likely to affect health, but to distinguish between these effects in analyses has been difficult. The aim of this study is to distinguish between the effect on health of one's own position in the income distribution and the effect on health of the individual's ability to consume. Combining data from Sweden, Finland and Norway provides a setting where individuals with the same absolute income level may occupy different positions within their national income distribution. The data come from Swedish, Finnish and Norwegian surveys of living conditions from the mid 1990s. Both the position in the income distribution and the ability to consume is measured by household disposable equivalent income. In order to eliminate differences in price levels, household income is adjusted for purchasing power parities. The outcome measure used is limiting long-standing illness. There was a clear income gradient in health over the individual's relative position in their national income distribution. Stratifying for groups of household income adjusted for purchasing power parities, we still find a significant effect of the individual's relative position. In Nordic welfare states the relative position in the income distribution is related to limiting long-standing illness independently of the ability to consume among individuals with high ability to consume.

Female↗

PubMed2005

Has the relation between income inequality and life expectancy disappeared? Evidence from Italy and top industrialised countries.

OBJECTIVE: To investigate the relation between income inequality and life expectancy in Italy and across wealthy nations. DESIGN AND SETTING: Measure correlation between income inequality and life expectancy at birth within Italy and across the top 21 wealthy countries. Pearson correlation coefficients were calculated to study these relations. Multivariate linear regression was used to measure the association between income inequality and life expectancy at birth adjusting for per capita income, education, and/or per capita gross domestic product. DATA SOURCES: Data on the Gini coefficient (income inequality), life expectancy at birth, per capita income, and educational attainment for Italy came from the surveys on Italian household on income and wealth 1995-2000 and the National Institute of Statistics information system. Data for industrialised nations were taken from the United Nations Development Program's human development indicators database 2003. RESULTS: In Italy, income inequality (beta = -0.433; p<0.001) and educational attainment (beta = 0.306; p<0.001) were independently associated with life expectancy, but per capita income was not (beta = 0.121; p>0.05). In cross national analyses, income inequality had a strong negative correlation with life expectancy at birth (r = -0.864; p<0.001). CONCLUSIONS: In Italy, a country where health care and education are universally available, and with a strong social safety net, income inequality had an independent and more powerful effect on life expectancy at birth than did per capita income and educational attainment. Italy had a moderately high degree of income inequality and an average life expectancy compared with other wealthy countries. The cross national analyses showed that the relation between income inequality and population health has not disappeared.

Adult↗

PubMed2000

Understanding income inequalities in health among men and women in Britain and Finland.

The aims of this study were to investigate whether the relationship between income and self-perceived health is similar for men and women in two contrasting welfare states, Britain and Finland; whether the relationship between income and health is accounted for by employment status, education, and occupational social class; and whether the association differs when using alternative ways of measuring income: gross individual and net household equivalent income. Among British and Finnish men, low household and low individual income were related to poor health, even after adjusting for employment status, education, and social class. The adjusted relationship between individual income and health was stronger for British than Finnish men. Among British and Finnish women, net household equivalent income was strongly related to health, but after adjusting for employment status, education, and social class this relationship became weaker for British women and practically disappeared for Finnish women. For British women the association between income and health differed strongly depending on the income measure used; gross individual income had almost no effect on health. These results indicate that the association between health and income has no threshold in the sense that only people in poverty have poorer health than others. In further studies of income and health, household equivalent income should be used as the principal measure of income with adjustments for employment status, and men and women should be studied separately.

Cross-Sectional Studies↗

PubMed1977

Relative income and fertility.

The present study examines the relationship between relative income (i.e., actual income in relation to the expected income of one's socioeconomic group) and fertility, using data collected by the 1967-1968 Canadian Family Growth Study (Balakrishnan et al., 1975). We broaden the tests of relative income beyond cumulative fertility to spacing behavior and then examine some of assumptions included in the relative income model of fertility. Results of the tests, in brief, are as follows: (a) Relative income is found to be more closely related to spacing than to cumulative fertility; and (b) the relationship between relative income and fertility is strongest among those couples who plan their life ahead and have a high level of education and occupation, and when temporal alignment is brought between the measures of relative income and fertility. For the relative income model to receive confirmation, it was specified that the following hypotheses must be confirmed: (a) that fertility behavior would vary positively with relative income but the fertility norm would show no relationship with relative income: and (b) that consumption norms and behavior would show no relationship with relative income. The outcome of these tests are in the expected direction, giving support to the relative income model. In addition, there is some evidence of predictive capability of the relative income model for correlative behavior.

Birth Rate↗

PubMed2002

Differences in cause-specific patterns of unintentional injury mortality among 15-44-year-olds in income-based country groups.

OBJECTIVES: The aim of the present study was to investigate the cause-specific patterns of unintentional injury mortality among 15-44-year-olds in various income-based country groups, and to analyze which specific causes contribute the most to the unintentional injury mortality in each country group. MATERIALS AND METHODS: Cross-sectional data on the five most common causes of unintentional injury mortality by age-sex specific subgroups were compiled for 57 countries from the World Health Statistics Annuals for the year 1993 (1991-1994 if information for 1993 was unavailable). Data were categorized into four income-based country groups according to their gross national product (GNP) per capita for the year 1993. The differences between means and rate ratios of low, lower-middle, and upper-middle income countries were calculated by comparing them with those of the high-income countries. Regression analysis was performed to determine the trends in the direction of income for each specific cause of unintentional injury mortality by age-sex. RESULTS: For any of the specific causes of unintentional injury mortality there was an inverse relationship between mortality rates and GNP per capita except for motor vehicle traffic (MVT) among the 15-24-year-old age group. MVT accidents were the most common cause and contributed 26-77% of all unintentional injury mortality. The second most common cause was poisoning in all country groups except low-income countries where drowning dominated for males and mixed causes for females. Upper-middle income countries represented the highest MVT mortality in all age-sex subgroups except among 15-24-year-old females for which high-income countries displayed the highest rate. For other causes, lower-middle income represented the highest rates with a few exceptions. In the 15-24-year age group, the rate ratio of motor vehicle traffic mortality was higher in high-income countries compared to low-income countries, while in the 35-44-year age group, all other country groups showed a higher rate ratio than high-income countries. Drowning for males and burns for females in the low and middle-income countries were significantly higher than in high-income countries.

Accidental Falls↗

PubMed1993

Influences of mothers' and fathers' income on children's nutritional status in Guatemala.

The relative effects of fathers' and mothers' income on children's nutritional status were examined with a sample of 294 peri-urban Guatemalan children aged 8-47 months. Whether or not incomes tended to be pooled, and the relation of income earning to decision-making about purchases were examined. Four measures of income were constructed for both mother and father: total income, contribution to the household food budget, percentage of her/his income contributed to the household food budget, and a percentage of total family income earned by that person. In the majority of households, women did not report pooling their incomes. Women who earned a higher proportion of the family income had significantly more control over decision-making in all areas except food purchases, which were already primarily women's decisions. Relationships of income measures with children's nutritional status were examined with multiple linear regression analyses controlling for potentially confounding variables. For mothers, the percentage of the total family income they earned was most highly associated with children's nutritional status, suggesting that income control by mothers may have benefits for children. For fathers, the percentage of their income they contributed to the household food budget was most highly associated with children's nutritional status, suggesting that father investment or attitude toward children has important benefits for children.

Adult↗

PubMed2004

Rapid income growth adversely affects diet quality in China--particularly for the poor!

To study the impact of income change--specifically rapid income growth--on diet behavior over time and by socioeconomic level, we used data from a prospective study of China begun in 1989 (followed up in 1991, 1993 and 1997). The subpopulation used in this study included 5783 subjects aged 20-45 years old from 3129 households. Dietary intakes were measured using a combination of the weighing method and three consecutive 24-h recalls. Detailed income and price data were collected, and predicted household per capita income was used in multivariate longitudinal random-effects models that described the consumption of several food groups and nutrients. Income elasticity was used to measure the changes for the effects of income over time on (a) the probability of consuming any food and (b) the quantity of food consumed. The structure of the Chinese diet is shifting away from high-carbohydrate foods toward high-fat, high-energy density foods. The variation in the income effects that we uncovered indicated that important changes in income effects took place between 1989 and 1997, with the changes varying considerably by socioeconomic status. These shifts in income effects indicate that increased income might have affected diets and body composition in a detrimental manner to health, with those in low-income groups having the largest increase in detrimental effects due to increased income. Extrapolating from our estimates, higher income levels in the future could lead to the reversal of the health improvements achieved in the last two decades, if diet-related noncommunicable diseases cannot be controlled.

Adult↗

PubMed2001

Income and health: the time dimension.

It is widely recognised that poverty is associated with poor health even in advanced industrial societies. But most existing studies of the relationship between the availability of financial resources and health status fail to distinguish between the transient and permanent impact of poverty on health. Many studies also fail to address the possibility of reverse causation; poor health causes low income. This paper aims to address these issues by moving beyond the static perspective provided by cross-sectional analyses and focusing on the dynamic nature of people's experiences of income and health. The specific objective is to investigate the relationship between income and health for adult participants in the British Household Panel Survey from 1991 to 1996/97. The paper pays particular attention to: the problem of health selection; the role of long-term income; and, the effect of income dynamics on health. The results confirm the general findings from the small number of longitudinal studies available in the international literature: long-term income is more important for health than current income; income levels are more significant than income change; persistent poverty is more harmful for health than occasional episodes; and, income reductions appear to have a greater effect on health than income increases. After controlling for initial health status the association between income and health is attenuated but not eliminated. This suggests that there is a causal relationship between low income and poor health.

Causality↗

PubMed2003

Exploring relative deprivation: is social comparison a mechanism in the relation between income and health?

During the last decade there has been a growing interest in the relation between income and health. The discussion has mostly focused on the individual's relative standing in the income distribution with the implicit understanding that the absolute level of income is not as relevant when the individual's basic needs are fulfilled. This study hypothesises relative deprivation to be a mechanism in the relation between income and health in Sweden: being relatively deprived in comparison to a reference group causes a stressful situation, which might affect self-rated health. Reference groups were formed by combining indicators of social class, age and living region, resulting in 40 reference groups. Within each of these groups a mean income level was calculated and individuals with an income below 70% of the mean income level in the reference group were considered as being relatively deprived. The results showed that more women than men were relatively deprived, but the effect of relative deprivation on self-rated health was more pronounced among men than among women. In order to estimate the importance of the effect of relative income versus the effect of absolute income, some analyses on the effect of relative deprivation on self-rated health were also carried out within different absolute income levels. When restricting the analysis to the lowest 40% of the income span the effect of relative deprivation almost disappeared. Relative deprivation may have a significant relation to health among men. However, for the 40% with the lowest income in the population the effect of relative deprivation on health is considerably reduced, possibly due to the more prominent relation between low absolute income and poor health.

Adult↗

PubMed2003

The relationship between low income and household food expenditure patterns in Canada.

OBJECTIVES: To compare food expenditure patterns between low-income households and higher- income households in the Canadian population, and to examine the relationship between food expenditure patterns and the presence or absence of housing payments among low-income households. DESIGN: Secondary data analysis of the 1996 Family Food Expenditure Survey conducted by Statistics Canada. SETTING: Sociodemographic data and 1-week food expenditure data for 9793 households were analysed. SUBJECTS: Data were collected from a nationally representative sample drawn through stratified multistage sampling. Low-income households were identified using Statistics Canada's Low Income Measures. RESULTS: Total food expenditures, expenditures at stores and expenditures in restaurants were lower among low-income households compared with other households. Despite allocating a slightly greater proportion of their food dollars to milk products, low-income households purchased significantly fewer servings of these foods. They also purchased fewer servings of fruits and vegetables than did higher-income households. The effect of low income on milk product purchases persisted when the sample was stratified by education and expenditure patterns were examined in relation to income within strata. Among low-income households, the purchase of milk products and meat and alternatives was significantly lower for households that had to pay rents or mortgages than for those without housing payments. CONCLUSIONS: Our findings indicate that, among Canadian households, access to milk products and fruits and vegetables may be constrained in the context of low incomes. This study highlights the need for greater attention to the affordability of nutritious foods for low-income groups.

Canada↗

PubMed2006

Income disparities in the quality of life of cancer survivors.

BACKGROUND: Studies of cancer survivors usually report positive correlations between income and health-related quality of life (QoL). These correlations cannot necessarily be interpreted as income disparities because earnings and income are affected by health, as well as the reverse. OBJECTIVES: The goal of this study was to quantify income disparities in QoL among cancer survivors by using instrumental variables (IV) to assess and, if necessary, correct for reverse causality. METHODS: We constructed an instrumental variable for income from home ownership, sources of unearned income, marital status at diagnosis, and spousal characteristics. Then, we examined income's effect on QoL in regressions controlling for other clinical and demographic predictors of QoL. The data were from interviews in 2002 with a cohort of cancer survivors who were 25 to 62 years of age when diagnosed during 1997 to 1999. MEASURES: The Functional Assessment of Cancer Therapy-General (FACT-G) and the SF-12 measured QoL in multiple domains. Questions adapted from the Health and Retirement Study ascertained the ratio of annual family income to the poverty threshold in 2001. RESULTS: Endogeneity tests were sensitive to assumptions of linearity for the income-QoL relationship and the choice of QoL measure. Consistently estimated income disparities were significant in all QoL models. The income elasticity of QoL ranged from 2% to 10%. CONCLUSIONS: There are income-related disparities in the QoL of cancer survivors that cannot be explained away by the effect of health on earnings. High-income patients are not only more likely to survive cancer, but they enjoy better QoL as survivors.

Adult↗

PubMed2003

Labour market income inequality and mortality in North American metropolitan areas.

OBJECTIVE: To investigate relations between labour market income inequality and mortality in North American metropolitan areas. METHODS: An ecological cross sectional study of relations between income inequality and working age (25-64 years) mortality in 53 Canadian (1991) and 282 US (1990) metropolitan areas using four measures of income inequality. Two labour market income concepts were used: labour market income for households with non-trivial attachment to the labour market and labour market income for all households, including those with zero and negative incomes. Relations were assessed with weighted and unweighted bivariate and multiple regression analyses. RESULTS: US metropolitan areas were more unequal than their Canadian counterparts, across inequality measures and income concepts. The association between labour market income inequality and working age mortality was robust in the US to both the inequality measure and income concept, but the association was inconsistent in Canada. Three of four inequality measures were significantly related to mortality in Canada when households with zero and negative incomes were included. In North American models, increases in earnings inequality were associated with hypothetical increases in working age mortality rates of between 23 and 33 deaths per 100 000, even after adjustment for median metropolitan incomes. CONCLUSIONS: This analysis of labour market inequality provides more evidence regarding the robust nature of the relation between income inequality and mortality in the US. It also provides a more refined understanding of the nature of the relation in Canada, pointing to the role of unemployment in generating Canadian metropolitan level health inequalities.

Adult↗