Black,White, Black and White: mixed race and health in Canada

Objectives: To document inequalities in hypertension, self-rated health, and self-rated mental health between Canadian adults who identify as Black, White, or Black and White and determine whether differences in educational attainment and household income explain them.

Design: The dataset was comprised of ten cycles (2001–2013) of the Canadian Community Health Survey. The health inequalities were examined by way of binary logistic regression modeling of hypertension and multinomial logistic regression modeling of self-rated health and self-rated mental health. Educational attainment and household income were investigated as potentially mediating factors using nested models and the Karlson-Holm-Breen decomposition technique.

Results: Black respondents were significantly more likely than White respondents to report hypertension, a disparity that was partly attributable to differences in income. White respondents reported the best and Black respondents reported the worst overall self-rated health, a disparity that was entirely attributable to income differences. Respondents who identified as both Black and White were significantly more likely than White respondents to report fair or poor mental health, a disparity that was partly attributable to income differences. After controlling for income, Black respondents were significantly less likely than White respondents to report fair or poor mental health. Educational attainment did not contribute to explaining any of these associations.

Conclusion: Canadians who identify as both Black and White fall between Black Canadians and White Canadians in regards to self-rated overall health, report the worst self-rated mental health of the three populations, and, with White Canadians, are the least likely to report hypertension. These heterogeneous findings are indicative of a range of diverse processes operative in the production of Black-White health inequalities in Canada.     

Stress-Related Poor Diet Quality Does Not Explain Socioeconomic Inequities in Health: A Structural Equation Mediation Analysis of Gender-Specific Pathways

BackgroundPsychosocial stress and diet quality individually mediate associations between socioeconomic position (SEP) and health; however, it is not known whether they jointly mediate these associations. This is an important question because stress-related unhealthy eating is often invoked as an explanation for diet-related health inequities, particularly among women, seemingly with no empirical justification.ObjectiveThis study examined whether psychosocial stress and diet quality jointly mediated associations between SEP and self-rated health in women and men.DesignMultiple mediating pathways were modeled using data from the cross-sectional International Food Policy Study.Participants and settingData were collected from 5,645 adults (aged 18 years or older) in Canada during 2018 and 2019.Main outcome measuresParticipants reported SEP using indicators of materialist (educational attainment and perceived income adequacy) and psychosocial pathways (subjective social status), along with psychosocial stress, dietary intake (to assess overall diet quality via Healthy Eating Index-2015 scores), and self-rated health.Statistical analyses performedStructural equation modeling modeled pathways linking SEP (ie, educational attainment, perceived income adequacy, and subjective social status) with self-rated health mediated by psychosocial stress and diet quality, stratified by gender.ResultsThere was no evidence that psychosocial stress and diet quality jointly mediated associations between SEP and self-rated health in women or men. Diet quality mediated associations between educational attainment and self-rated health in women and men, with some evidence that it mediated associations between subjective social status and self-rated health in men (P = 0.051). Psychosocial stress mediated associations between perceived income adequacy and self-rated health in women and men, and between subjective social status and self-rated health in women.ConclusionsAlthough often invoked as an explanation for diet-related health inequities, stress-related poor diet quality did not mediate associations between SEP and self-rated health in women or men. Psychosocial stress and diet quality individually mediated some of these associations, with some differences by gender.     

The role of cognitive ability (intelligence) in explaining the association between socioeconomic position and health: evidence from the Whitehall II prospective cohort study

Associations among cognitive ability, socioeconomic position, and health have been interpreted to imply that cognitive ability could explain social inequalities in health. The authors test this hypothesis by examining three questions: Is cognitive ability related to health? To what extent does it explain social inequalities in health? Do measures of socioeconomic position and cognitive ability have independent associations with health? Relative indices of inequality were used to estimate associations, using data from the Whitehall II study (baseline, 1985-1988), a British prospective cohort study (4,158 men and 1,680 women). Cognitive ability was significantly related to coronary heart disease, physical functioning, and self-rated health in both sexes and additionally to mental functioning in men. It explained some of the relation between socioeconomic position and health: 17% for coronary heart disease, 33% for physical functioning, 12% for mental functioning, and 39% for self-rated health. In analysis simultaneously adjusted for all measures of socioeconomic position, cognitive ability retained an independent association only with physical functioning in women. These results suggest that, although cognitive ability is related to health, it does not explain social inequalities in health.     

Functional health literacy and health-promoting behaviour in a national sample of British adults

OBJECTIVES: To measure the prevalence of limited functional health literacy in the UK, and examine associations with health behaviours and self-rated health. DESIGN: Psychometric testing using a British version of the Test of Functional Health Literacy in Adults (TOFHLA) in a population sample of adults. SETTING: UK-wide interview survey (excluding Northern Ireland and the Scottish Isles). PARTICIPANTS: 759 adults (439 women, 320 men) aged 18-90 years (mean age _ 47.6 years) selected using random location sampling. MAIN OUTCOME MEASURES: Functional health literacy, self-rated health, fruit and vegetable consumption, physical exercise and smoking. RESULTS: We found that 11.4% of participants had either marginal or inadequate health literacy. Multivariable logistic regression analysis indicated that the risk of having limitations in health literacy increased with age (adjusted odds ratio 1.04; 95% confidence interval 1.02 to 1.06), being male (odds ratio _ 2.04; 95% confidence interval 1.16 to 3.55), low educational attainment (odds ratio _ 7.46; 95% confidence interval 3.35 to 16.58) and low income (odds ratio _ 5.94; 95% confidence interval 1.87 to 18.89). In a second multivariable logistic regression analysis, every point higher on the health literacy scale increased the likelihood of eating at least five portions of fruit and vegetables a day (odds ratio _ 1.02; 95% confidence interval 1.003 to 1.03), being a non-smoker (odds ratio _ 1.02; 95% confidence interval 1.0003 to 1.03) and having good self-rated health (odds ratio _ 1.02; 95% confidence interval 1.01 to 1.04), independently of age, education, gender, ethnicity and income. CONCLUSIONS: The results encourage efforts to monitor health literacy in the British population and examine associations with engagement with preventative health behaviours.     

Sociodemographics,self-rated health,and mortality in the US

Using data from the 1987 National Medical Expenditure Survey, a representative sample of US civilians, and their 5-year mortality, we examined the adjusted relationships among baseline self-reported health, derived from SF-20 subscales (health perceptions, physical function, role function and mental health) and sociodemographics (age, sex, race/ethnicity, income and education) and subsequent mortality. Included were 21,363 persons aged 21 and over, with complete follow-up on 19,812. Physical function showed the greatest decline with age, whereas mental health increased slightly. Women reported lower health for all scales except role function. Greater income was associated with better health, least marked for mental health. Greater education was associated with better health, most marked for health perceptions. Compared with whites, blacks reported lower health, whereas Latinos reported higher health. Lower self-reported health predicted increased adjusted mortality. After adjustment for baseline self-rated health, the relationships between income and education and mortality were greatly attenuated, whereas the relationships between age, gender, race/ethnicity and mortality were not. Self-rated health exhibited more profound relationships with mortality in younger persons, those with more education, and whites. In conclusion, lower socioeconomic status (SES), and being black are associated with lower reported health status and higher mortality; women report lower health status but exhibit lower mortality; and Latinos report higher health status and exhibit lower mortality. The effects of SES on mortality are largely explained by their associations with self-rated health, whereas, the effects of gender and race/ethnicity on mortality appear to act through independent pathways. Because of these differential sociodemographic relationships caution is urged when using self-rated health measures in research, clinical, and policy settings.     

Different income information as an indicator for health inequality among Japanese adults

BACKGROUND: There are several alternative indicators of income information, which is a fundamental measure of individual socioeconomic position. In this study, we compared the degrees of associations of four types of income information with health variables among Japanese adults. METHODS: Using a nationally representative sample of 29,446 men and 32,917 women aged 20 years and over, the associations between four income indicators and health variables were examined using the odds ratio in logistic regression analysis and the concentration index by sex and age group (20-59 years and 60+ years). Income indicators consisted of total household income, equivalent household income, total household expenditure, and equivalent household expenditure. Current smoking and self-rated health statuses were used as health variables. RESULTS: A low income was associated with a high prevalence of smoking and fair/poor self-rated health, with some differences among sex and age groups and income indicators, but less difference among methods of statistical analyses. Total and equivalent incomes were similarly and more markedly associated with smoking and self-rated health statuses, whereas equivalent expenditure showed the smallest degree of health difference. For the population aged 60+ years, the degree of health differences in smoking was similar between income and expenditure. CONCLUSIONS: Although the degree of income-related health differences is dependent on health outcome and both sex and age group, this study suggests that either crude or equivalent household income is a useful indicator for health inequality among Japanese adults.     

Social connections, immigration-related factors, and self-rated physical and mental health among Asian Americans

Focusing on Asian Americans, this study examines how self-rated physical and mental health depends on the layered social connections (including 4 types: family cohesion, relative support, friend support, and neighborhood cohesion), socioeconomic status, and immigration-related factors (including nativity, length of residence in the U.S., and proficiency of the English language). It draws on the 2002–2003 National Latino and Asian American Study, a nationally representative household survey of Latino and Asian Americans. Findings of this study include: (1) there are significant differences in self-rated physical health among Asian Americans of different national origin, but their self-rated physical health differences diminish after indicators of socioeconomic status and immigration-related factors are considered; (2) four types of social connections are all related to the self-rated physical and mental health of Asian Americans, but the patterns of the associations as well as the mechanisms linking the associations vary; and (3) family cohesion has independent and direct effects on both self-rated physical and mental health over and above controls and mediators, whereas the effects of other social connection measures are partially mediated by socioeconomic status and immigration-related factors. In sum, this study indicates the significant effects of social connections, socioeconomic status, and immigration-related factors on the self-rated physical and mental health of Asian Americans.     

Socioeconomic position and self-rated health: the contribution of childhood socioeconomic circumstances, adult socioeconomic status, and material resources

OBJECTIVES: We examined socioeconomic inequalities in self-rated health by analyzing indicators of childhood socioeconomic circumstances, adult socioeconomic position, and current material resources. METHODS: We collected data on middle-aged adults employed by the City of Helsinki (n=8970; 67% response rate). Associations between 7 socioeconomic indicators and health self-ratings of less than "good" were examined with sequential logistic regression models. RESULTS: After adjustment for age, each socioeconomic indicator was inversely associated with self-rated health. Childhood economic difficulties, but not parental education, were associated with health independently of all other socioeconomic indicators. The associations of respondents' own education and occupational class with health remained when adjusted for other socioeconomic indicators. Home ownership and economic difficulties, but not household income, were the material indicators associated with health after full adjustment. CONCLUSIONS: Own education and occupational class showed consistent associations with health, but the association with income disappeared after adjustment for other socioeconomic indicators. The effect of parental education on health was mediated by the respondent's own education. Both childhood and adulthood economic difficulties showed clear associations with health and with conventional socioeconomic indicators.     

Social inequality in perceived oral health among adults in Australia

OBJECTIVE: To establish population estimates of self-assessed tooth loss and subjective oral health and describe the social distribution of these measures among dentate adults in Australia. METHODS: Self-report data were obtained from a nationally representative sample of 3,678 adults aged 18-91 years who participated in the 1999 National Dental Telephone Interview Survey and completed a subsequent mail survey. Oral health was evaluated using (1) self-assessed tooth loss, (2) the 14-item Oral Health Impact Profile, and (3) a global six-point rating of oral health. RESULTS: While the absolute difference in tooth loss across household income levels increased at each successive age group (18-44 years, 45-64 years, 65+ years) from 0.7 teeth to 6.1 teeth, the magnitude of the difference was approximately twofold at each age group. For subjective oral health measures, the magnitude of difference across income groups was most pronounced in the 18-44 years age group. In multivariate analysis, low household income, blue-collar occupation, and high residential area disadvantage were positively associated with social impact from oral conditions and pathological tooth loss. Speaking other than English at home (relative to English), low household income (relative to high income), and vocational relative to tertiary education were each associated with more than twice the odds of poor self-rated oral health. CONCLUSIONS: Significant social differentials in perceived oral health exist among dentate adults. Inequalities span the socio-economic hierarchy. IMPLICATIONS: In addition to improving overall levels of oral health in the adult community, goals and targets should aim to reduce social inequalities in the distribution of outcomes.     

Health Inequalities among Older Adults in Spain: The Importance of Gender,the Socioeconomic Development of the Region of Residence,and Social Support

BackgroundThis study analyzes health inequalities among older adults in Spain by adopting a conceptual framework that globally considers two dimensions of health determinants (gender and the socioeconomic development of the region of residence) and the mediating influence of social support, taking into account individual socioeconomic position.MethodsData came from the 2006 Spanish National Health Interview Survey. A subsample of people aged 65 to 85 years with no paid work living in two socioeconomically developed regions situated in the north of Spain and in two less developed ones situated in the south was selected. The health outcomes analyzed were self-rated health status and poor mental health status. Multiple logistic regression models were fitted and covariates (age, socioeconomic position, household type, and social support) were added in subsequent steps.FindingsSelf-rated health status among older adults was poorer in the less socioeconomically developed regions, but especially among women, whereas the poorest mental health status was found in one of the most socioeconomically developed regions, especially for men. Social support was an important determinant of health status, regardless of the socioeconomic development of the region. Gender inequalities in health did not differ by regional socioeconomic development with one exception regarding poor self-rated health.ConclusionThese results show the importance of implementing stronger gender equity policies, as well as reducing socioeconomic inequalities among regions and strengthen social support among older adults.     

An investigation of the longitudinal relationship between neighbourhood income inequality and individual self-rated health in England

There are mixed findings on whether neighbourhood income inequality leads to better self-rated health (SRH) or not. This study considers two hypotheses: individuals living in more unequal neighbourhoods have better SRH and the level of neighbourhood income inequality and its impact on SRH is moderated by household and neighbourhood level income related variables. Data from Waves 8–10 of the UK Household Longitudinal Study for respondents living in England at wave 8 were used. Neighbourhood income inequality was measured using Gini coefficients of household income from the Pay As You Earn and benefits systems for Lower Super Output Areas. Longitudinal ordinal multilevel models predicted self-rated health in 2016–18, 2017–19 and 2019-20 by income inequality and its interaction with household income, neighbourhood median income and neighbourhood deprivation, conditional on individual educational attainment, age, sex, ethnic group, years lived in current residence, region of residence and study wave. There were 24,889 respondents analysed over three waves. SRH was worse for those living in more income equal neighbourhoods. There was no indication that neighbourhood inequality was moderated by household income, neighbourhood median income or neighbourhood deprivation. These findings are in line with the balance of existing evidence and support policy interventions that aim to create mixed communities for the purpose of improving population health.     

Prosthetic treatment in the adult French population: Prevalence and relation with demographic,socioeconomic and medical characteristics

BackgroundThe aim of this study was to estimate the prevalence of dental prosthetic treatment and to investigate the demographic, social, economic and medical factors associated with the use of fixed and removable dentures in a representative sample of adults living in France.MethodsThe data were obtained from the 2002–2003 Decennial Health Survey, a cross-sectional study of a representative sample of the population living in France, which included 29,679 adults. Information was collected by interview. The variables collected were fixed denture, removable denture, age, gender, number of children, area of residence, nationality, educational attainment, family social status, employment status, annual household income per capita, supplementary insurance, chronic disease, eyesight problems/glasses, hearing problems/hearing aids. Multinomial logistic regression models were used to study the relationship between prosthetic treatment and demographic, socioeconomic and medical characteristics unadjusted, adjusted for age and adjusted for all the characteristics.ResultsThe prevalence of prosthetic treatment was 34.6% (95% confidence interval (CI): [34.1; 35.2]) for fixed prosthetic dentures and 13.8% (95% CI: [13.4; 14.2]) for removable prosthetic dentures. We showed a gradient between educational attainment and removable dentures; the odds ratio adjusted for all the variables (aOR) associated with no or primary education compared to post-secondary education was 2.56; 95% CI: [2.09; 3.13]. When annual household income per capita was low, subjects were less likely to report fixed dentures (aOR = 0.68; 95% CI: [0.62; 0.75]) than those with high annual household income per capita. Individuals without insurance less often reported fixed dentures than those with private insurance. Those reporting chronic disease were less likely to report fixed dentures (aOR = 0.87; 95% CI: [0.79; 0.95]) but more likely to report removable dentures (aOR = 1.29; 95% CI: [1.17; 1.43]) than those without chronic disease.ConclusionThis study reveals social, economic and medical inequalities in fixed and removable prosthetic treatment among adults in France.     

Socioeconomic inequalities in preventive services among the elderly: results from medical checkup, cancer check, and BP check]

OBJECTIVES: Due to the assumptions of homogeneity as well as challenges in the socioeconomic position of the elderly, they have been relatively neglected in studies of health inequalities. Therefore, this study was conducted to investigate the social inequalities in preventive services among elderly men and women. METHODS: Data were obtained from a nationally representative sample of 342 men and 525 women aged 65 and over collected during the 2001 National Health and Nutrition Examination Survey. Age adjusted proportions and logistic regression were used to identify the social patterning of preventive services among elderly Koreans using various social position indicators. RESULTS: The findings of this study generally supported the presence of social gradients in preventive services among the Korean elderly. The likelihood of using the service becomes progressively higher with social position. Educational level, income, and self-rated living status were significantly associated with increased medical checkups and cancer checks. In addition, logistic regression detected educational inequalities only among older women receiving BP checks. After being stratified based on health status and chronic disease status, social disparities still existed when educational level and self-rated living status were considered. Among unhealthy individuals, place of residence was observed as a barrier to medical checkups. CONCLUSIONS: This study demonstrated strong and consistent associations between socioeconomic position and preventive services among the elderly in Korea. The results indicate that public health strategies should be developed to reduce the barriers to preventive services encountered by the elderly.     

Societal characteristics and health in the former communist countries of Central and Eastern Europe and the former Soviet Union: a multilevel analysis

OBJECTIVES: To examine whether, in former communist countries that have undergone profound social and economic transformation, health status is associated with income inequality and other societal characteristics, and whether this represents something more than the association of health status with individual socioeconomic circumstances. DESIGN: Multilevel analysis of cross-sectional data. SETTING: 13 Countries from Central and Eastern Europe and the former Soviet Union. PARTICIPANTS: Population samples aged 18+ years (a total of 15 331 respondents). MEAN OUTCOME MEASURES: Poor self-rated health. RESULTS: There were marked differences among participating countries in rates of poor health (a greater than twofold difference between the countries with the highest and lowest rates of poor health), gross domestic product per capita adjusted for purchasing power parity (a greater than threefold difference), the Gini coefficient of income inequality (twofold difference), corruption index (twofold difference) and homicide rates (20-fold difference). Ecologically, the age- and sex-standardised prevalence of poor self-rated health correlated strongly with life expectancy at age 15 (r = -0.73). In multilevel analyses, societal (country-level) measures of income inequality were not associated with poor health. Corruption and gross domestic product per capita were associated with poor health after controlling for individuals' socioeconomic circumstances (education, household income, marital status and ownership of household items); the odds ratios were 1.15 (95% confidence interval 1.03 to 1.29) per 1 unit (on a 10-point scale) increase in the corruption index and 0.79 (95% confidence interval 0.68 to 0.93) per $5000 increase in gross domestic product per capita. The effects of gross domestic product and corruption were virtually identical in people whose household income was below and above the median. CONCLUSION: Societal measures of prosperity and corruption, but not income inequalities, were associated with health independently of individual-level socioeconomic characteristics. The finding that these effects were similar in persons with lower and higher income suggests that these factors do not operate exclusively through poverty.     

Socioeconomic inequality in voting participation and self-rated health

OBJECTIVES: This study tested the hypothesis that disparities in political participation across socioeconomic status affect health. Specifically, the association of voting inequality at the state level with individual self-rated health was examined. METHODS: A multilevel study of 279,066 respondents to the Current Population Survey (CPS) was conducted. State-level inequality in voting turnout by socioeconomic status (family income and educational attainment) was derived from November CPS data for 1990, 1992, 1994, and 1996. RESULTS: Individuals living in the states with the highest voting inequality had an odds ratio of fair/poor self-rated health of 1.43 (95% confidence interval [CI] = 1.22, 1.68) compared with individuals living in the states with the lowest voting inequality. This odds ratio decreased to 1.34 (95% CI = 1.14, 1.56) when state income inequality was added and to 1.27 (95% CI = 1.10, 1.45) when state median income was included. The deleterious effect of low individual household income on self-rated health was most pronounced among states with the greatest voting and income inequality. CONCLUSIONS: Socioeconomic inequality in political participation (as measured by voter turnout) is associated with poor self-rated health, independently of both income inequality and state median household income.     

Self-rated health and indicators of SES among the ageing in three types of communities

AIMS: This paper examines associations between self-rated health, three indicators of SES (self-reported education, disposable household income, adequacy of income) and three types of communities (urban, densely or sparsely populated rural areas) among ageing men and women in the Province of P?ij?t-H?me, Southern Finland. There is a lack of knowledge regarding the magnitude of community type when examining the relation between subjective health and SES. METHODS: Cross-sectional questionnaire data gathered in the spring of 2002 for a prospective follow-up of community interventions were used. These data, together with a number of clinical and laboratory measurements, yielded the baseline for a 10-year community intervention study. A representative stratified (age, gender, area) sample of men and women living in the province and belonging to the birth cohorts 1926-1930, 1936-1940, and 1946-1950 was obtained from the National Population Registry. The target sample was 4,272, with 2,815 persons responding (66% response rate). RESULTS: Positive associations between indicators of SES and self-rated health were observed in all three community types. After adjusting for other factors, adequacy of income showed the strongest (positive) association with self-rated health in urban areas in all age groups. A similar pattern of associations, with varying statistical significance, though, was found in the two rural areas. CONCLUSIONS: This study supports the view that while actual income is positively correlated to health, adequacy of income is an even stronger predictor of it. Thus, there was a significant link between better financial standing and good health among ageing people, especially in urban areas.     

Income inequality, social capital and self-rated health and dental status in older Japanese

The erosion of social capital in more unequal societies is one mechanism for the association between income inequality and health. However, there are relatively few multi-level studies on the relation between income inequality, social capital and health outcomes. Existing studies have not used different types of health outcomes, such as dental status, a life-course measure of dental disease reflecting physical function in older adults, and self-rated health, which reflects current health status. The objective of this study was to assess whether individual and community social capital attenuated the associations between income inequality and two disparate health outcomes, self-rated health and dental status in Japan. Self-administered questionnaires were mailed to subjects in an ongoing Japanese prospective cohort study, the Aichi Gerontological Evaluation Study Project in 2003. Responses in Aichi, Japan, obtained from 5715 subjects and 3451 were included in the final analysis. The Gini coefficient was used as a measure of income inequality. Trust and volunteering were used as cognitive and structural individual-level social capital measures. Rates of subjects reporting mistrust and non-volunteering in each local district were used as cognitive and structural community-level social capital variables respectively. The covariates were sex, age, marital status, education, individual- and community-level equivalent income and smoking status. Dichotomized responses of self-rated health and number of remaining teeth were used as outcomes in multi-level logistic regression models. Income inequality was significantly associated with poor dental status and marginally significantly associated with poor self-rated health. Community-level structural social capital attenuated the covariate-adjusted odds ratio of income inequality for self-rated health by 16% whereas the association between income inequality and dental status was not substantially changed by any social capital variables. Social capital partially accounted for the association between income inequality and self-rated health but did not affect the strong association of income inequality and dental status.     

Self-rated economic condition and the health of elderly persons in Hong Kong

Studies have documented that health and income are important variables affecting the quality of life in old age. However, there is little knowledge about whether perceived financial sufficiency affects the health of elderly persons. Recent research has documented that in addition to material and behavioural determinants, psychosocial pathways also have an influence on health inequalities. This is the first paper to examine the relation between self-rated economic condition (measured with a single item question) and reported health conditions (i.e., somatic complaints, diagnosed physical diseases, functional health (Activities of Daily Living), self-rated health, and mental health status (General Health Questionnaire-30 [GHQ-30]) among elderly persons in Hong Kong. The respondents of the study were persons aged 65 and over residing in public housing estates in the Southern District of Hong Kong Island. Four hundred and fifty respondents were interviewed in 1995 by means of a structured questionnaire. The study found that although it did not record the actual income levels of the respondents, the subjective measure vividly demonstrated the health differentials among the elderly respondents. Multiple regression analyses suggested that self-rated economic condition was a significant predictor of the number of somatic complaints and physical illnesses reported, as well as of functional health, self-rated health, and mental health status (controlling for socio-demographic variables). However, the measure explained a higher proportion of variance in models related to psychological health than those related to physical health. The findings substantiated the role of psychosocial processes in understanding perceived health and illness and health inequalities in particular.     

Socio-economic influences on self-rated health in Russian men and women--a life course approach

Socio-economic differentials in health in Russia are not well understood and the life course approach has been relatively neglected. This paper examines the influence of socio-economic risk factors over the life course on the self-rated health of older Russian men and women. A random sample (response rate 61%) of the general population of the Russian Federation in 2002 included 1004 men and 1930 women aged 50 years and over in a cross-sectional study. They provided information concerning their childhood circumstances, including going to bed hungry; education; current social conditions, including per capita household income; health behaviours and self-rated health. There was considerable tracking of adverse social conditions across the life course with men and women who reported hunger in childhood having lower educational achievements, and current household income was strongly influenced by educational attainment. The effect of these socio-economic risk factors on health accumulated with an odds ratio of poor health of 1.87 [1.07-3.28] for men with one risk factor, 3.64 [2.13-6.22] for two risk factors and 4.51 [2.57-7.91] for all three compared to men with no risk factors. For women, the odds ratios were 1.44 [1.05-2.01], 2.88 [2.10-3.93] and 4.27 [3.03-6.00] for one, two and three risk factors, respectively. Current income was the strongest individual predictor for men, and education for women. Adjustment for health behaviours reduced the odds ratios only marginally. The results suggest that self-rated health in older Russians reflects social exposures accumulated over the life course, with the differentials observed only partially explained by current social conditions. Health behaviours were not involved in mediating social differences in self-rated health. Our results indicate that a life course approach may contribute to the understanding of health in Russia.