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.     

Is inequality at the heart of it? Cross-country associations of income inequality with cardiovascular diseases and risk factors

Despite a number of cross-national studies that have examined the associations between income inequality and broad health outcomes such as life expectancy and all-cause mortality, investigations of the cross-country relations between income inequality and cardiovascular disease (CVD) morbidity, mortality, and risk factors are sparse. We analyzed the cross-national relations between income inequality and age-standardized mean body mass index (BMI), serum total cholesterol, systolic blood pressure (SBP), obesity prevalence, smoking impact ratio (SIR), and age-standardized and age-specific disability-adjusted life-years (DALYs) and mortality rates from coronary heart disease (CHD) and stroke, controlling for multiple country-level factors and specifying 5- to 10-year lag periods. In multivariable analyses primarily limited to industrialized countries, countries in the middle and highest (vs. lowest) tertiles of income inequality had higher absolute age-standardized obesity prevalences in both sexes. Higher income inequality was also related to higher mean SBP in both sexes, and higher SIR in women. In analyses of larger sets of countries with available data, positive associations were observed between higher income inequality and mean BMI, obesity prevalence, and CHD DALYs and mortality rates. Associations with stroke outcomes were inverse, yet became positive with the inclusion of eastern bloc and other countries in recent economic/political transition. China was also identified to be an influential data point, with the positive associations with stroke mortality rates becoming attenuated with its inclusion. Overall, our findings are compatible with harmful effects of income inequality at the national scale on CVD morbidity, mortality, and selected risk factors, particularly BMI/obesity. Future studies should consider income inequality as an independent contributor to variations in CVD burden globally.     

High fructose corn syrup and diabetes prevalence: A global perspective

Abstract

The overall aim of this study was to evaluate, from a global and ecological perspective, the relationships between availability of high fructose corn syrup (HFCS) and prevalence of type 2 diabetes. Using published resources, country-level estimates (n =43 countries) were obtained for: total sugar, HFCS and total calorie availability, obesity, two separate prevalence estimates for diabetes, prevalence estimate for impaired glucose tolerance and fasting plasma glucose. Pearson's correlations and partial correlations were conducted in order to explore associations between dietary availability and obesity and diabetes prevalence. Diabetes prevalence was 20% higher in countries with higher availability of HFCS compared to countries with low availability, and these differences were retained or strengthened after adjusting for country-level estimates of body mass index (BMI), population and gross domestic product (adjusted diabetes prevalence=8.0 vs. 6.7%, p=0.03; fasting plasma glucose=5.34 vs. 5.22 mmol/L, p=0.03) despite similarities in obesity and total sugar and calorie availability. These results suggest that countries with higher availability of HFCS have a higher prevalence of type 2 diabetes independent of obesity.     

Immigrant generation, socioeconomic status, and economic development of countries of origin: a longitudinal study of body mass index among children

Prior research has yielded mixed evidence of a relationship between immigrant generational status or acculturation and overweight or obesity among children of immigrants. This study examined socioeconomic status (SES) and economic development of the sending country as additional factors influencing children body mass index (BMI) and as moderating the relationship between parental generational status and BMI. Using data from the kindergarten cohort of the Early Childhood Longitudinal Survey (N=16,664 children) carried out in the USA, the research estimated growth curve models and tested the significance of interaction terms between generational status (i.e., children of the 1.0 generation, who arrived at age 12 or older; children of the 1.5 generation, who arrived between the ages of birth and 11; and children of natives), SES, and the country of origin's gross domestic product per capita. Results indicate that the children of the 1.0 generation from higher-income countries tended to gain more weight than children from lower-income countries. The relationship between family SES and weight gain was positive among the first-generation children and stronger among those from lower-income countries than from higher-income countries. Weight gain was positively associated with generation only among lower SES children from low-income countries. It was negatively associated with generation for higher SES children from low-income countries. The results are consistent with a conceptual model of BMI assimilation that links global nutrition patterns to the levels and socioeconomic variations in BMI among the 1.0-generation and their children, and conceptualizes assimilation as occurring within socioeconomic strata. This approach leads to the expectation that overweight is likely to be positively associated with generation among those from low-income countries (as measured by GDP/capita) with low SES but negatively associated among those from low-income countries with high SES.     

Country-Level Meritocratic Beliefs Moderate the Social Gradient in Adolescent Mental Health: A Multilevel Study in 30 European Countries

PurposeAdolescents with higher socioeconomic status (SES) report better mental health. The strength of the association—the “social gradient in adolescent mental health”—varies across countries, with stronger associations in countries with greater income inequality. Country-level meritocratic beliefs (beliefs that people get what they deserve) may also strengthen the social gradient in adolescent mental health; higher SES may be more strongly linked to adolescent's perceptions of capability and respectful treatment.MethodsUsing data from 11–15 year olds across 30 European countries participating in the 2013/2014 Health Behaviour in School-aged Children study (n = 131,101), multilevel regression models with cross-level interactions examined whether country-level meritocratic beliefs moderated the association between two individual-level indicators of SES, family affluence and perceived family wealth, and three indicators of adolescent mental health (life satisfaction, psychosomatic complaints, and aggressive behavior).ResultsFor family affluence, in some countries, there was a social gradient in adolescent mental health, but in others the social gradient was absent or reversed. For perceived family wealth, there was a social gradient in adolescent life satisfaction and psychosomatic complaints in all countries. Country-level meritocratic beliefs moderated associations between SES and both life satisfaction and psychosomatic complaints: in countries with stronger meritocratic beliefs associations with family affluence strengthened, while associations with perceived family wealth weakened.ConclusionsCountry-level meritocratic beliefs moderate the associations between SES and adolescent mental health, with contrasting results for two different SES measures. Further understanding of the mechanisms connecting meritocratic beliefs, SES, and adolescent mental health is warranted.     

Nutritional status of urban schoolchildren of high and low socioeconomic status in Quetzaltenango, Guatemala.

OBJECTIVE: The prevalence of overweight and obesity is growing in children in many developing countries, increasing chronic disease risk. Our objective was to assess the prevalence of stunting, underweight, overweight, and obesity in schoolchildren 8 to 10 years old who were of high or low socioeconomic status (SES) in Quetzaltenango, which is the second largest city in Guatemala. METHODS: Between April and June 2005 we conducted a cross-sectional survey among 583 children in private and public elementary schools, in which we measured height and weight. The Centers for Disease Control and Prevention (CDC) 2000 height-for-age z-scores, weight-for-age z-scores, and body mass index-for-age centiles were used to define stunting, underweight, overweight, and obesity. RESULTS: Mean height, weight, and body mass index were significantly higher in the 327 children of high SES than in the 256 children of low SES, across sexes and age groups. The prevalence of stunting was significantly higher in low-SES children than in high-SES ones (27.0% vs. 7.3%, P < 0.01) , and this was also true for underweight (14.1% versus 4.6%, P < 0.01). In contrast, the prevalence of overweight (17.7% versus 10.5%, P < 0.01) was higher in high-SES children than in low-SES ones; the same was true for obesity (14.4% versus 2.3%, P < 0.01). The prevalence of stunting among children of low SES, and the prevalence of overweight and obesity among children of high SES far exceeded the CDC 2000 reference ranges. CONCLUSIONS: A high prevalence of both stunting and excess body weight was found in this urban Guatemalan population, with notable contrasts between social classes. The obesity among high-income children indicates that the city is undergoing the nutrition transition, with further implications for future risks related to chronic disease. Nutrition and health interventions are needed to reduce these risks.     

An Increasing Socioeconomic Gap in Childhood Overweight and Obesity in China

We used a new conceptual framework that integrates tenets from health economics, social epidemiology, and health behavior to analyze the impact of socioeconomic forces on the temporal changes in the socioeconomic status (SES) gap in childhood overweight and obesity in China. In data from the China Health and Nutrition Survey for 1991 to 2006, we found increased prevalence of childhood overweight and obesity across all SES groups, but a greater increase among higher-SES children, especially after 1997, when income inequality dramatically increased. Our findings suggest that for China, the increasing SES gap in purchasing power for obesogenic goods, associated with rising income inequality, played a prominent role in the country’s increasing SES gap in childhood obesity and overweight.It is well documented that family socioeconomic status (SES) is associated with childhood overweight and obesity1–3; however, the pathways linking SES with overweight and obesity may be strongly conditioned by a country’s stage of economic development. For example, an inverse relationship between SES and obesity is typically observed among children in developed countries,2,4 whereas in many developing countries, overweight and obesity are more common among socioeconomic elites.1,5,6 Several questions are unanswered: What contextual factors connect the stage of economic development with the sign and strength of the association between SES and childhood overweight and obesity? What is the relative importance of these factors? What happens when these contextual factors exert contradictory effects on risk for childhood obesity and overweight? The dramatic social and economic changes in China that took place after 1997 provided a unique opportunity to explore these questions.Until now, the only study of the change in the SES–overweight and obesity association among Chinese children focused on the annual change in overweight prevalence by income.7 This study found that overweight prevalence increased fastest among high-income children between 1991 and 2004. To date, however, no study has thoroughly explored the contextual factors contributing to the changing relationship between SES and overweight and obesity in children and adolescents, in China or in any other developing country.The direction of causality between SES and obesity for children is relatively easy to discern, because their SES is predetermined by that of their parents; hence, their obesity status is unlikely to affect their childhood SES.1 We developed a conceptual framework to address specific contextual factors that could shape the SES–childhood overweight and obesity relationship. We test several major tenets of this framework in data collected from 1991 to 2006 by the China Health and Nutrition Survey (CHNS).8     

The relationship of ethnicity,socioeconomic factors,and overweight in US adolescents

OBJECTIVE: To examine the extent to which race/ethnic differences in income and education account for sex-specific disparities in overweight prevalence in white, African American, Hispanic, and Asian U.S. teens. RESEARCH METHODS AND PROCEDURES: We used nationally representative data collected from 13113 U.S. adolescents enrolled in the National Longitudinal Study of Adolescent Health. Logistic regression models were used to examine the relationship of family income and parental education to overweight prevalence (body mass index >or= 85th percentile of age and sex-specific cutoff points from the 2000 Centers for Disease Control and Prevention/National Center for Health Statistics growth charts). In addition, we used coefficients from our logistic regression models to project the effects on overweight prevalence of equalizing the socioeconomic status (SES) differences between race/ethnic groups. RESULTS: Keeping adolescents in their same environments and changing only family income and parental education had a limited effect on the disparities in overweight prevalence. Ethnicity-SES-overweight differences were greater among females than males. Given that overweight prevalence decreased with increasing SES among white females and remained elevated and even increased among higher SES African-American females, African-American/white disparity in overweight prevalence increased at the highest SES. Conversely, disparity was lessened at the highest SES for white, Hispanic, and Asian females. Among males, disparity was lowest at the average SES level. DISCUSSION: One cannot automatically assume that the benefits of increased SES found among white adults will transfer to other gender-age-ethnic groups. Our findings suggest that efforts to reduce overweight disparities between ethnic groups must look beyond income and education and focus on other factors, such as environmental, contextual, biological, and sociocultural factors.     

Overweight exceeds underweight among women in most developing countries

BACKGROUND: It is generally believed that overweight is less prevalent than undernutrition in the developing world, particularly in rural areas, and that it is concentrated in higher socioeconomic status (SES) groups. OBJECTIVE: The purpose of this study was to examine patterns of adult female overweight and underweight in the developing world by using categories of urban or rural status and SES strata. DESIGN: Body mass index (BMI; in kg/m(2)) data collected in 36 countries from 1992 to 2000 by nationally representative cross-sectional surveys of women aged 20-49 y (n = 148579) were classified as indicating underweight (BMI < 18.5) and overweight (BMI >/= 25). Associations between the nutritional status of urban and rural women and each country's per capita gross national income (GNI) and level of urbanization were explored in the overall sample and among different SES groups. RESULTS: Overweight exceeded underweight in well over half of the countries: the median ratio of overweight to underweight was 5.8 in urban and 2.1 in rural areas. Countries with high GNIs and high levels of urbanization had not only high absolute prevalences of overweight but also small urban-rural differences in overweight and very high ratios of overweight to underweight. In the more-developed countries, overweight among low-SES women was high in both rural (38%) and urban (51%) settings. Even many poor countries, countries in which underweight persists as a significant problem, had fairly high prevalences of rural overweight. CONCLUSIONS: In most developing economies, prevalences of overweight in young women residing in both urban and rural areas are higher than those in underweight women, especially in countries at higher levels of socioeconomic development. Research is needed to assess male and child overweight to understand the dynamics facing these groups as well.     

Research on Environmental Influencing Factors of Overweight and Obesity in Children and Adolescents in China

This study aimed to explore the impact of environmental factors such as latitude, altitude, family socioeconomic status (SES), and level of urbanization on overweight and obesity (ow/ob) in children and adolescents. The participants comprised 26,120 children and adolescents aged 10–18 from 16 provinces in China. Differences in the prevalence of ow/ob under different environmental conditions were evaluated by the chi-square test. The influence of various environmental factors on ow/ob was obtained by logistic regression analysis. We found that (1) the prevalence of ow/ob fell between from 19.2% to 11.9% at 10 years old and from 13.8% to 6% at 18 years old; (2) latitude, family SES, income, and urbanization level are positively correlated with the prevalence of ow/ob; and (3) altitude has a negative correlation with the prevalence of ow/ob. The prevalence of ow/ob decreased with age in children and adolescents aged 10–18, and the risk of ow/ob showed significant differences in latitude, altitude, family SES level, gross domestic product (GDP), and level of urbanization.     

Socioeconomic status,John Henryism and blood pressure among African-Americans in the Jackson Heart Study

John Henryism connotes a strong behavioral predisposition to engage in effortful, active coping with difficult social and economic stressors. This behavioral predisposition is measured by the 12 item John Henryism Scale for Active Coping (JHAC). The John Henry hypothesis predicts that the well-known inverse socioeconomic status (SES)-blood pressure association will be stronger among persons who score high rather than low on the JHAC. We tested this hypothesis in a large African American cohort using baseline data from the Jackson Heart Study. Unlike previous studies, we used multiple indicators of SES: income, education, occupation, childhood SES and cumulative SES. Because the hypothesis is most relevant for adults still in the labor force, we excluded retired participants, yielding a sample size of 3978. Gender-specific Poisson regression models for hypertension adjusting for age, John Henryism, SES, and a John Henryism-SES interaction term, were fit to examine associations. Separate models were fit for each SES indicator. We found some evidence that John Henryism modified the association between income and hypertension in men: low income was associated with higher prevalence of hypertension in men who scored high on John Henryism (prevalence ratio (PR) for low vs. high income tertile 1.12), but with lower hypertension prevalence among men who scored low on John Henryism (PR 0.85, one sided P value for multiplicative interaction <0.05). For women, the association of low income with higher hypertension prevalence was stronger at lower than higher levels of John Henryism (PR 1.27 and 1.06 at low and high levels of John Henryism respectively, P value<0.05). There was no evidence that John Henryism modified the associations of hypertension with other SES indicators in men or women. The modest support of the John Henryism Hypothesis in men only, adds to the literature on this subject, but underscores questions regarding the gender, spatial, socioeconomic and historical contexts in which the hypothesis is valid.     

Using concentration index to study changes in socio-economic inequality of overweight among US adolescents between 1971 and 2002

BACKGROUND: The prevalence of overweight among adolescents continues to increase in the United States. This study examines the changes in socio-economic status (SES) inequality of overweight among US adolescents in the past three decades. METHODS: Concentration Index (CI) was utilized to measure changes in the SES inequality in prevalence of overweight among US adolescents. Data collected from 15,286 adolescents in four waves of the National Health and Nutrition Examination Surveys (NHANES) between 1971 and 2002 and Hispanic Health and Nutrition Examination Survey (HHANES) (1982-84) were used. RESULTS: Changes in the SES inequality of overweight among US adolescents and considerable gender and ethnic differences were detected. For boys, CI varied from 0.04 in NHANES I to -0.04 in NHANES 1999-2002; for girls, CI varied from -0.12 in NHANES I to -0.18 in NHANES III. Among whites, SES disparity peaked in NHANES III and declined thereafter. Patterns in black and Mexican-American adolescents were mixed. CONCLUSIONS: Patterns of SES disparity of overweight among US adolescents varied across ethnic and gender groups, and have changed over time. Disparities have decreased since the early 1990s with the rise of the obesity epidemic. Obesity prevention and management efforts should target all SES groups in the United States.     

Social inequalities and gender differences in the experience of alcohol-related problems

Aims: To examine the influence of country-level characteristics and individual socio-economic status (SES) on individual alcohol-related consequences. Methods: Data from 42,655 men and women collected by cross-sectional surveys in 25 countries of the Gender, Alcohol and Culture: An International Study study were used. The individual SES was measured by the highest attained educational level. Alcohol-related consequences were defined as the self-report of at least one internal or one external consequence in the last year. The relationship between individuals' education and alcohol-related consequences was examined by meta-analysis. In a second step, the individual level data and country data were combined in multilevel models. As country-level indicators, we used the purchasing power parity of the gross national income (GNI), the Gini coefficient and the Gender Gap Index. Results: Lower educated men and women were more likely to report consequences than higher educated men and women even after controlling for drinking patterns. For men, this relation was significant for both internal and external problems. For women, it was only significant for external problems. The GNI was significantly associated with reporting external consequences for men such that in lower income countries men were more likely to report social problems. Conclusion: The fact that problems accrue more quickly for lower educated persons even if they drink in the same manner can be linked to the social or environmental dimension surrounding problems. That is, those of fewer resources are less protected from the experience of a problem or the impact of a stressful life event.     

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.     

Changes in income inequality and the health of immigrants

Research suggests that income inequality is inversely associated with health. This association has been documented in studies that utilize variation in income inequality across countries or across time from a single country. The primary criticism of these approaches is their inability to account for potential confounders that are associated with income inequality. This paper uses variation in individual experiences of income inequality among immigrants within the United States (U.S.) to evaluate whether individuals who moved from countries with greater income inequality than the U.S. have better health than those who migrated from countries with less income in equality than the U.S. Utilizing individual-level (March Current Population Survey) and country-level data (the United Nations Human Development Reports), we show that among immigrants who have resided in the U.S. between 6 and 20 years, self-reported health is more favorable for the immigrants in the former category (i.e., greater income inequality) than those in the latter (i.e., lower income inequality). Results also show that self-reported health is better among immigrants from more developed countries and those who have more years of education, are male, and are married.     

Socio-economic status and body mass index in low-income Mexican adults

The study reported here explored the associations of body mass index (BMI), socio-economic status (SES), and beverage consumption in a very low-income population. A house-to-house survey was conducted in 2003 of 12,873 Mexican adults. The sample was designed to be representative of the poorest communities in seven of Mexico's 31 states. Greater educational attainment was significantly associated with higher BMI and a greater prevalence of overweight (25 < or = BMI<30) and obesity (30 < or = BMI) in men and women. The combined prevalence of overweight and obesity was over 70% in women greater than the median age of 35.4 years with at least some primary education compared with a prevalence of 45% in women below the median age with no education. In both sexes, BMI was positively correlated with education, occupation, quality of housing conditions, household assets, and subjective social status. BMI and household income were significantly correlated in women but not in men. In the models including all SES variables, education, occupation, housing conditions and household assets all contributed independently and significantly to BMI, and household income and subjective social status did not. Increased consumption of alcoholic and carbonated sugar beverages was associated with higher SES and higher BMI. Thus, in spite of the narrow range of socio-economic variability in this population, the increased consumption of high calorie beverages may explain the positive relationship between SES and BMI. The positive associations between SES and BMI in this low-income, rural population are likely to be related to the changing patterns of food availability, food composition, consumption patterns and cultural factors. Contextually sensitive population-level interventions are critically needed to address obesity and overweight in poor populations, particularly in older women.     

Diet and other life-style factors in high and low socio-economic groups (Dutch Nutrition Surveillance System)

Insight into the occurrence of and the association between certain socio-economic variables and life-style characteristics is necessary for preventive nutrition and health policy. The prevalence of and the interdependencies among these variables were examined in 1930 men and 2204 women aged 19 to 85 who participated in the Dutch National Food Consumption Survey 1987-1988. Dietary data were based on a two-day record. The associations among discrete variables were analysed using log-linear models. Analysis of covariance was used to explore the effects of the aggregate socio-economic status (SES) on dietary intake and anthropometry, whereas differences in food intake and SES were assessed by the non-parametric test of Kruskal and Wallis. In comparison to subjects with a high SES in people with a low SES a higher proportion of smokers (48 vs 32 per cent) was observed, a higher prevalence of obesity (39 vs 28 per cent), a higher percentage of heavy coffee drinkers (greater than six cups per day, 23 vs 17 per cent), and more subjects who skipped breakfast (19 vs 11 per cent). In the highest SES class more subjects used nutritional supplements (18 vs 11 per cent), more subjects followed a dietary rule (five vs two per cent), such as a vegetarian diet, and a higher proportion used more than three alcoholic drinks per day (19 vs 15 per cent). A higher SES was associated with a lower fat intake, but the differences (expressed as per cent of energy intake) were rather small and even absent among women when the contribution of alcohol to energy was not taken into account. In general, dietary intake among subjects in higher SES groups tended to be closer to dietary recommendations. The results indicate that a lower SES is accompanied by a higher prevalence of several indicators of an unhealthy life-style.     

Implication of socio-economic status on the prevalence of overweight and obesity in Greek adults: the ATTICA study

BACKGROUND: Although ooverweight and obesity are considered as a health problem that affects millions of people worldwide, the implication of socio-economic status (SES) in these healthy conditions have rarely been investigated. We evaluated the associations of overweight and obesity with SES, in a population based sample of Greek adults. METHODS: During 2001-2002 we randomly enrolled 1514 men (18-87 years old) and 1528 women (18-89 years old), stratified by the age-sex distribution (census 2001) of the Attica area, Greece. We studied several demographic, anthropometric, lifestyle, dietary and bio-clinical factors of the participants. SES (low, middle and high) was defined through the education and economical level of the participants. RESULTS: The prevalence of overweight and obesity was 53 and 20% in men, and 31 and 15% in women, respectively, while an increase in the prevalence of obesity was observed with progressing age. Both men and women in the higher SES group had significantly lower prevalence of obesity as compared to the middle and lower SES group (p<0.001). However, multivariate analysis showed that the observed associations between SES and obesity were mainly explained by differences in physical activity status and energy intake of the participants. CONCLUSION: Overweight and obesity seems to be a serious health problem, affecting more prominently people in the lower SES. However, eating and other lifestyle habits mainly explained the association between SES and obesity.     

Socioeconomic patterning of childhood overweight status in Europe

There is growing evidence of social disparities in overweight among European children. This paper examines whether there is an association between socioeconomic inequality and prevalence of child overweight in European countries, and if socioeconomic disparities in child overweight are increasing. We analyse cross-country comparisons of household inequality and child overweight prevalence in Europe and review within-country variations over time of childhood overweight by social grouping, drawn from a review of the literature. Data from 22 European countries suggest that greater inequality in household income is positively associated with both self-reported and measured child overweight prevalence. Moreover, seven studies from four countries reported on the influence of socioeconomic factors on the distribution of child overweight over time. Four out of seven reported widening social disparities in childhood overweight, a fifth found statistically significant disparities only in a small sub-group, one found non-statistically significant disparities, and a lack of social gradient was reported in the last study. Where there is evidence of a widening social gradient in child overweight, it is likely that the changes in lifestyles and dietary habits involved in the increase in the prevalence of overweight have had a less favourable impact in low socio-economic status groups than in the rest of the population. More profound structural changes, based on population-wide social and environmental interventions are needed to halt the increasing social gradient in child overweight in current and future generations.     

Opposing socioeconomic gradients in overweight and obese adults

Objective: Investigate the relationship between socioeconomic status (SES) and prevalence of overweight and/or obesity, by sex, using total annual household income as the indicator of SES and the World Health Organization (WHO) recommended ranges of self‐reported Body Mass Index (BMI) as the indicator of overweight and/or obesity. Methods : Total annual household income and BMI data were obtained from the Victorian Population Health Survey (VPHS), an annual computer‐assisted telephone survey of the health and well‐being of Victorian adults aged 18 years and older. Statistical analysis was conducted using ordinary least squares linear regression on the logarithms of age‐standardised prevalence estimates of overweight (25.0–29.9 kg/m²), obesity (≥30.0 kg/m²), and overweight and obesity combined (≥25.0 kg/m²), by income category and sex. Results: Typical SES gradients were observed in obese males and females, where the prevalence of obesity decreased with increasing income. No SES gradient was observed in overweight females, however, a reverse SES gradient was observed in overweight males, where the prevalence of overweight increased with increasing income. Combining the overweight and obesity categories into a single group eliminated the typical SES gradients observed in males and females for obesity, and resulted in a statistically significant reverse SES gradient in males. Conclusions: Combining the BMI categories of overweight and obesity into a single category masks important SES differences, while combining the data for males and females masks important sex differences. BMI categories of overweight and obesity should be analysed and reported independently, as should BMI data by sex.