Mauricio Avendano

A systematic review of studies on socioeconomic inequalities in dietary intakes associated with weight gain and overweight/obesity conducted among European adults.

This Review examined socioeconomic inequalities in intakes of dietary factors associated with weight gain, overweight/obesity among adults in Europe. Literature searches of studies published between 1990 and 2007 examining socioeconomic position (SEP) and the consumption of energy, fat, fibre, fruit, vegetables, energy‐rich drinks and meal patterns were conducted. Forty‐seven articles met the inclusion criteria. The direction of associations between SEP and energy intakes were inconsistent. Approximately half the associations examined between SEP and fat intakes showed higher total fat intakes among socioeconomically disadvantaged groups. There was some evidence that these groups consume a diet lower in fibre. The most consistent evidence of dietary inequalities was for fruit and vegetable consumption; lower socioeconomic groups were less likely to consume fruit and vegetables. Differences in energy, fat and fibre intakes (when found) were small‐to‐moderate in magnitude; however, differences were moderate‐to‐large for fruit and vegetable intakes. Socioeconomic inequalities in the consumption of energy‐rich drinks and meal patterns were relatively under‐studied compared with other dietary factors. There were no regional or gender differences in the direction and magnitude of the inequalities in the dietary factors examined. The findings suggest that dietary behaviours may contribute to socioeconomic inequalities in overweight/obesity in Europe. However, there is only consistent evidence that fruit and vegetables may make an important contribution to inequalities in weight status across European regions.

Socioeconomic status and ischaemic heart disease mortality in 10 western European populations during the 1990s

Objective: To assess the association between socioeconomic status and ischaemic heart disease (IHD) mortality in 10 western European populations during the 1990s. Design: Longitudinal study. Setting: 10 European populations (95 009 822 person years). Methods: Longitudinal data on IHD mortality by educational level were obtained from registries in Finland, Norway, Denmark, England/Wales, Belgium, Switzerland, Austria, Turin (Italy), Barcelona (Spain), and Madrid (Spain). Age standardised rates and rate ratios (RRs) of IHD mortality by educational level were calculated by using Poisson regression. Results: IHD mortality was higher in those with a lower socioeconomic status than in those with a higher socioeconomic status among men aged 30–59 (RR 1.55, 95% confidence interval (CI) 1.51 to 1.60) and 60 years and over (RR 1.22, 95% CI 1.21 to 1.24), and among women aged 30–59 (RR 2.13, 95% CI 1.98 to 2.29) and 60 years and over (RR 1.36, 95% CI 1.33 to 1.38). Socioeconomic disparities in IHD mortality were larger in the Scandinavian countries and England/Wales, of moderate size in Belgium, Switzerland, and Austria, and smaller in southern European populations among men and younger women (p < 0.0001). For elderly women the north–south gradient was smaller and there was less variation between populations. No socioeconomic disparities in IHD mortality existed among elderly men in southern Europe. Conclusions: Socioeconomic disparities in IHD mortality were larger in northern than in southern European populations during the 1990s. This partly reflects the pattern of socioeconomic disparities in cardiovascular risk factors in Europe. Population wide strategies to reduce risk factor prevalence combined with interventions targeted at the lower socioeconomic groups can contribute to reduce IHD mortality in Europe.

Health Disadvantage in US Adults Aged 50 to 74 Years: A Comparison of the Health of Rich and Poor Americans With That of Europeans

OBJECTIVES We compared the health of older US, English, and other European adults, stratified by wealth. METHODS Representative samples of adults aged 50 to 74 years were interviewed in 2004 in 10 European countries (n = 17,481), England (n = 6527), and the United States (n = 9940). We calculated prevalence rates of 6 chronic diseases and functional limitations. RESULTS American adults reported worse health than did English or European adults. Eighteen percent of Americans reported heart disease, compared with 12% of English and 11% of Europeans. At all wealth levels, Americans were less healthy than were Europeans, but differences were more marked among the poor. Health disparities by wealth were significantly smaller in Europe than in the United States and England. Odds ratios of heart disease in a comparison of the top and bottom wealth tertiles were 1.94 (95% confidence interval [CI] = 1.69, 2.24) in the United States, 2.13 (95% CI = 1.73, 2.62) in England, and 1.38 (95% CI = 1.23, 1.56) in Europe. Smoking, obesity, physical activity levels, and alcohol consumption explained a fraction of health variations. CONCLUSIONS American adults are less healthy than Europeans at all wealth levels. The poorest Americans experience the greatest disadvantage relative to Europeans.

Socioeconomic Status and Stroke Incidence in the US Elderly The Role of Risk Factors in the EPESE Study

Background and Purpose— This study assesses the effect of socioeconomic status on stroke incidence in the elderly, and the contribution of risk factors to stroke disparities. Methods— Data comprised a sample of 2812 men and women aged 65 years and over from the New Haven cohort of the Established Populations for the Epidemiologic Studies of the Elderly. Individuals provided baseline information on demographics, functioning, cardiovascular and psychosocial risk factors in 1982 and were followed for 12 years. Proportional hazard models were used to model survival from initial interview to first fatal or nonfatal stroke. Results— Two hundred and seventy subjects developed incident stroke. At ages 65 to 74, lower socioeconomic status was associated with higher stroke incidence for both education (HRlowest/highest=2.07, 95% CI, 1.04 to 4.13) and income (HRlowest/highest=2.08, 95% CI, 1.01 to 4.27). Adjustment for race, diabetes, depression, social networks and functioning attenuated hazard ratios to a nonsignificant level, whereas other risk factors did not change associations significantly. Beyond age 75, however, stroke rates were higher among those with the highest education (HRlowest/highest=0.42, 95% CI, 0.22 to 0.79) and income (HRlowest/highest=0.43, 95% CI, 0.22 to 0.86), which remained largely unchanged after adjustment for risk factors. Conclusions— We observed substantial socioeconomic disparities in stroke at ages 65 to 74, whereas a crossover of the association occurred beyond age 75. Policies to improve social and economic resources at early old age, and interventions to improve diabetes management, depression, social networks and functioning in the disadvantaged elderly can contribute to reduce stroke disparities.

Socioeconomic status and the 25 × 25 risk factors as determinants of premature mortality: A multicohort study and meta-analysis of 1·7 million men and women

Summary Background In 2011, WHO member states signed up to the 25 × 25 initiative, a plan to cut mortality due to non-communicable diseases by 25% by 2025. However, socioeconomic factors influencing non-communicable diseases have not been included in the plan. In this study, we aimed to compare the contribution of socioeconomic status to mortality and years-of-life-lost with that of the 25 × 25 conventional risk factors. Methods We did a multicohort study and meta-analysis with individual-level data from 48 independent prospective cohort studies with information about socioeconomic status, indexed by occupational position, 25 × 25 risk factors (high alcohol intake, physical inactivity, current smoking, hypertension, diabetes, and obesity), and mortality, for a total population of 1 751 479 (54% women) from seven high-income WHO member countries. We estimated the association of socioeconomic status and the 25 × 25 risk factors with all-cause mortality and cause-specific mortality by calculating minimally adjusted and mutually adjusted hazard ratios [HR] and 95% CIs. We also estimated the population attributable fraction and the years of life lost due to suboptimal risk factors. Findings During 26·6 million person-years at risk (mean follow-up 13·3 years [SD 6·4 years]), 310 277 participants died. HR for the 25 × 25 risk factors and mortality varied between 1·04 (95% CI 0·98–1·11) for obesity in men and 2 ·17 (2·06–2·29) for current smoking in men. Participants with low socioeconomic status had greater mortality compared with those with high socioeconomic status (HR 1·42, 95% CI 1·38–1·45 for men; 1·34, 1·28–1·39 for women); this association remained significant in mutually adjusted models that included the 25 × 25 factors (HR 1·26, 1·21–1·32, men and women combined). The population attributable fraction was highest for smoking, followed by physical inactivity then socioeconomic status. Low socioeconomic status was associated with a 2·1-year reduction in life expectancy between ages 40 and 85 years, the corresponding years-of-life-lost were 0·5 years for high alcohol intake, 0·7 years for obesity, 3·9 years for diabetes, 1·6 years for hypertension, 2·4 years for physical inactivity, and 4·8 years for current smoking. Interpretation Socioeconomic circumstances, in addition to the 25 × 25 factors, should be targeted by local and global health strategies and health risk surveillance to reduce mortality. Funding European Commission, Swiss State Secretariat for Education, Swiss National Science Foundation, the Medical Research Council, NordForsk, Portuguese Foundation for Science and Technology.

Self-reported health assessments in the 2002 World Health Survey: how do they correlate with education?

OBJECTIVE To assess the value of self-rated health assessments by examining the association between education and self-rated poor health. METHODS We used the globally representative population-based sample from the 2002 World Health Survey, composed of 219,713 men and women aged 25 and over in 69 countries, to examine the association between education and self-rated poor health. In a binary regression model with a logit link function, we used self-rated poor health as the binary dependent variable, and age, sex and education as the independent variables. FINDINGS Globally, there was an inverse association between years of schooling and self-rated poor health (odds ratio, OR: 0.929; 95% confidence interval, CI: 0.926-0.933). Compared with the individuals in the highest quintile of years of schooling, those in the lowest quintile were twice as likely to report poor health (OR: 2.292; 95% CI: 2.165-2.426). We found a dose-response relationship between quintiles of years of schooling and the ORs for reporting poor health. This association was consistent among men and women; low-, middle- and high-income countries; and regions. CONCLUSION Our findings suggest that self-reports of health may be useful for epidemiological investigations within countries, even in low-income settings.

Have health trends worsened in Greece as a result of the financial crisis? A quasi-experimental approach.

BACKGROUND Health in Greece deteriorated after the recent financial crisis, but whether this decline was caused by the recent financial crisis has not been established. This article uses a quasi-experimental approach to examine the impact of the recent financial crisis on health in Greece. METHODS Data came from the European Union Statistics on Income and Living Conditions survey for the years 2006-09. We applied a difference-in-differences approach that compares health trends before and after the financial crisis in Greece with trends in a control population (Poland) that did not experience a recession and had health trends comparable with Greece before the crisis. We used logistic regression to model the impact of the financial crisis on poor self-rated health, controlling for demographic confounders. RESULTS Results provide strong evidence of a statistically significant negative effect of the financial crisis on health trends. Relative to the control population, Greece experienced a significantly larger increase in the odds of reporting poor health after the crisis (odds ratio, 1.16; 95% confidence interval, 1.04-1.29). There was no difference in health trends between Poland and Greece before the financial crisis, supporting a causal interpretation of health declines in Greece as a result of the financial crisis. CONCLUSION Results provide evidence that trends in self-rated health in Greece worsened as a result of the recent financial crisis. Findings stress the need for urgent health policy responses to the recent economic collapse in Greece as the full impact of austerity measures unfolds in the coming years.

Social support, volunteering and health around the world: Cross-national evidence from 139 countries

High levels of social capital and social integration are associated with self-rated health in many developed countries. However, it is not known whether this association extends to non-western and less economically advanced countries. We examine associations between social support, volunteering, and self-rated health in 139 low-, middle- and high-income countries. Data come from the Gallup World Poll, an internationally comparable survey conducted yearly from 2005 to 2009 for those 15 and over. Volunteering was measured by self-reports of volunteering to an organization in the past month. Social support was based on self-reports of access to support from relatives and friends. We started by estimating random coefficient (multi-level) models and then used multivariate logistic regression to model health as a function of social support and volunteering, controlling for age, gender, education, marital status, and religiosity. We found statistically significant evidence of cross-national variation in the association between social capital variables and self-rated health. In the multivariate logistic model, self-rated health were significantly associated with having social support from friends and relatives and volunteering. Results from stratified analyses indicate that these associations are strikingly consistent across countries. Our results indicate that the link between social capital and health is not restricted to high-income countries but extends across many geographical regions regardless of their national-income level.

Educational Level and Stroke Mortality A Comparison of 10 European Populations During the 1990s

Background and Purpose— Variations between countries in occupational differences in stroke mortality were observed among men during the 1980s. This study estimates the magnitude of differences in stroke mortality by educational level among men and women aged ≥30 years in 10 European populations during the 1990s. Methods— Longitudinal data from mortality registries were obtained for 10 European populations, namely Finland, Norway, Denmark, England/Wales, Belgium, Switzerland, Austria, Turin (Italy), Barcelona (Spain), and Madrid (Spain). Rate ratios (RRs) were calculated to assess the association between educational level and stroke mortality. The life table method was used to estimate the impact of stroke mortality on educational differences in life expectancy. Results— Differences in stroke mortality according to educational level were of a similar magnitude in most populations. However, larger educational differences were observed in Austria. Overall, educational differences in stroke mortality were of similar size among men (RR, 1.27; 95% CI, 1.24 to 1.30) and women (RR, 1.29; 95% CI, 1.27 to 1.32). Educational differences in stroke mortality persisted at all ages in all populations, although they generally decreased with age. Eliminating these differences would on average reduce educational differences in life expectancy by 7% among men and 14% among women. Conclusions— Educational differences in stroke mortality were observed across Europe during the 1990s. Risk factors such as hypertension and smoking may explain part of these differences in several countries. Other factors, such as socioeconomic differences in healthcare utilization and childhood socioeconomic conditions, may have contributed to educational differences in stroke mortality across Europe.

Lifecourse social conditions and racial disparities in incidence of first stroke

PURPOSE Some previous studies found excess stroke rates among black subjects persisted after adjustment for socioeconomic status (SES), fueling speculation regarding racially patterned genetic predispositions to stroke. Previous research was hampered by incomplete SES assessments, without measures of childhood conditions or adult wealth. We assess the role of lifecourse SES in explaining stroke risk and stroke disparities. METHODS Health and Retirement Study participants age 50+ (n = 20,661) were followed on average 9.9 years for self- or proxy-reported first stroke (2175 events). Childhood social conditions (southern state of birth, parental SES, self-reported fair/poor childhood health, and attained height), adult SES (education, income, wealth, and occupational status) and traditional cardiovascular risk factors were used to predict first stroke onset using Cox proportional hazards models. RESULTS Black subjects had a 48% greater risk of first stroke incidence than whites (95% confidence interval, 1.33-1.65). Childhood conditions predicted stroke risk in both blacks and whites, independently of adult SES. Adjustment for both childhood social conditions and adult SES measures attenuated racial differences to marginal significance (hazard ratio, 1.13; 95% CI, 1.00-1.28). CONCLUSIONS Childhood social conditions predict stroke risk in black and White American adults. Additional adjustment for adult SES, in particular wealth, nearly eliminated the disparity in stroke risk between black and white subjects.