Obesity and the potential reduction of social inequalities in mortality: evidence from 21 European populations

Worse becomes the worst: obesity inequality, its determinants and policy options in Iran

Background

This tracked obesity inequality and identified its determinants among the population of Iran. In addition, it examined the impact of implemented policies on these inequalities.

Methods

This study was performed in two phases. First, we conducted a rapid review of the disparity in obesity prevalence in Iran. Then we investigated the main determinants of this inequality in a qualitative study. In addition, we examined Iran's policies to deal with obesity from the perspective of equality. We conducted 30 Semi-structured interviews with various obesity stakeholders selected through a purposive snowball sampling method between November 25, 2019, and August 5, 2020. In the inductive approach, we used the content analysis method based on the Corbin and Status framework to analyze the data using MAXQDA-2020. The consolidating criteria for reporting a Qualitative Study (COREQ-32) were applied to conduct and report the study.

Results

Inequalities in the prevalence of obesity in terms of place of residence, gender, education, and other socioeconomic characteristics were identified in Iran. Participants believed that obesity and inequality are linked through immediate and intermediate causes. Inequality in access to healthy foods, physical activity facilities, and health care are the immediate causes of this inequality. Intermediate factors include inequality against women, children, and refugees, and inequality in access to information, education, and financial resources. Policymakers should implement equity-oriented obesity control policies such as taxing unhealthy foods, subsidizing healthy foods, providing healthy and free meals in schools, especially in disadvantaged areas, and providing nutrient-rich foods to low-income families. Also, environmental re-engineering to increase opportunities for physical activity should be considered. Of course, for the fundamental reduction of these inequalities, the comprehensive approach of all statesmen is necessary.

Conclusion

Obesity inequality is a health-threatening issue in Iran that can prevent achieving human development goals. Targeting the underlying causes of obesity, including inequalities, must be considered.

Letting people flourish: defining and suggesting skills for maintaining and improving positive health

Background

The concept of "positive health" emerged from the need for a holistic and more dynamic perspective on health, emphasising the ability of individuals to adapt and self-manage. The positive health conversation tool helps understand how people score on six positive health dimensions. However, skills within these dimensions to maintain or improve health have not yet been described. This is important for enabling individuals to put health advice into practise. Therefore, this paper aims to define and suggest skills for maintaining and improving positive health.

Subsections

Suggestions for definitions of skills within the positive health dimensions are described using the functional, interactive, and critical health literacy framework. Additionally, executive functions and life skills were incorporated. Moreover, the environment's role in these individual skills was noted, mentioning organisational health literacy that emphasises organisations' responsibility to provide comprehensible health information to all individuals. We propose that health promotion interventions can incorporate the proposed skills in practical exercises while aligning intervention materials and implementation tools with end-users and implementers.

Discussion and conclusion

The suggested skills for maintaining and improving positive health are a first step towards a more comprehensive understanding and open to discussion. These skills may also be applied to other practical conversation tools for maintaining or improving health. Increasing positive health through the defined skills may be especially relevant to those with a lower socioeconomic position who also have limited health literacy and thereby may contribute to reducing health inequalities. Taken together, strengthening the defined skills may hopefully contribute to allowing people to flourish in life.

[COVID-19 as a syndemic: a theoretical model and foundations for a comprehensive approach in health]

This essay aims to present and discuss the theoretical framework for the COVID-19 syndemic. The first part presents the foundations and principles of syndemic theory. For the purposes of this essay, syndemic was defined as a process of synergic interaction between two or more diseases, in which the effects are mutually enhanced. We discussed the three principal typologies of syndemic interaction: mutually causal epidemics; epidemics interacting synergically; and serial causal epidemics. In the second part, COVID-19 is analyzed as a syndemic resulting from the interaction between various groups of diseases and the socioeconomic context. The theoretical model considered the interaction between COVID-19 and chronic noncommunicable diseases, infectious and parasitic diseases, and mental health problems. The essay addressed how social iniquities and conditions of vulnerability act at various levels to increase the effect of COVID-19 and other pandemics. The last section discusses the need for comprehensive, multisector, and integrated responses to COVID-19. A model for intervention was presented that involves the patient care and socioeconomic dimensions. In the sphere of patient care, the authors defend the structuring of strong and responsive health systems, accessible to the entire population. The economic and social dimension addressed the issue of reclaiming the ideals of solidarity, the health promotion strategy, and emphasis on social determinants of health. In conclusion, the lessons learned from the syndemic approach to COVID-19 call on government and society to develop policies that link clinical, sanitary, socioeconomic, and environmental interventions.

Inequality of weight status in urban Cuba: 2001-2010

Background

Although understanding changes in the body weight distribution and trends in obesity inequality plays a key role in assessing the causes and persistence of obesity, limited research on this topic is available for Cuba. This study thus analyzed changes in body mass index (BMI) and waist circumference (WC) distributions and obesity inequality over a 9-year period among urban Cuban adults.

Methods

Kolmogorov-Smirnov tests were first applied to the data from the 2001 and 2010 National Survey on Risk Factors and Chronic Diseases to identify a rightward shift in both the BMI and WC distributions over the 2001–2010 period. A Shapley technique decomposed the increase in obesity prevalence into a mean-growth effect and a (re)distributional component. A univariate assessment of obesity inequality was then derived by calculating both the Gini and generalized entropy (GE) measures. Lastly, a GE-based decomposition partitioned overall obesity inequality into within-group and between-group values.

Results

Despite some relatively pronounced left-skewing, both the BMI and WC distributions exhibited a clear rightward shift to which the increases in general and central obesity can be mostly attributed. According to the Gini coefficients, both general and central obesity inequality increased over the 2001–2010 period, from 0.105 [95% confidence interval (CI) = 0.103–0.106] to 0.110 [95% CI = 0.107–0.112] and from 0.083 [95% CI = 0.082–0.084] to 0.085 [95% CI = 0.084–0.087], respectively. The GE-based decomposition further revealed that both types of inequality were accounted for primarily by within-group inequality (93.3%/89.6% and 87.5%/84.8% in 2001/2010 for general/central obesity, respectively).

Conclusions

Obesity inequality in urban Cuba worsened over the 2001–2010 time period, with within-group inequality in overall obesity dominant over between-group inequality. In general, the results also imply that the rise in obesity inequality is immune to health care system characteristics.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12963-021-00251-6.

Key elements of a successful integrated community-based approach aimed at reducing socioeconomic health inequalities in the Netherlands: A qualitative study

Background

Since 2010, the Zwolle Healthy City approach, an integrated community-based approach, has been implemented in the Dutch municipality of Zwolle. This approach is proven successful in reducing health inequalities. However, the key elements of this approach are not clear. The current study aimed to identify key elements of this successful local community-based approach, according to the perspectives of various stakeholders.

Methods

Semi-structured interviews were carried out with 29 professionals who were involved in the approach in the period 2010–2018 and have occupations at the strategic (n = 4), tactical (n = 17) and operational level (n = 8). Data was analyzed using the thematic analysis approach.

Results

We identified nine perceived key elements that contributed to the success of the approach aimed at reducing socioeconomic health inequalities. The respondents indicated the following key elements: (1) collaboration between a variety of local organizations that want to have impact on the health of citizens; (2) support for the approach on the strategic, tactical and operational level of involved organizations; (3) proper communication and coordination, both for the network and within the organizations; (4) embeddedness in organizations’ policies and processes and (5) collaboration with private organizations is of added value, although there is no “one size fits all”. Other key elements are (6) collaboration with citizens, (7) profiling the approach like a brand and (8) moving along with and taking advantage of opportunities. Finally, (9) continuous monitoring and evaluating goals and processes, and learning from the results, is important.

Conclusion

Nine key elements were identified that, according to various stakeholders, contributed to the success of the Zwolle Healthy City approach. These insights are important to further strengthen the Zwolle Healthy City approach but may also help and inspire other local integrated community-based approaches aimed at reducing socioeconomic health inequalities, to improve and adapt the approach within their specific local and dynamic context.

Changing social inequalities in smoking, obesity and cause-specific mortality: Cross-national comparisons using compass typology

BACKGROUND

In many countries smoking rates have declined and obesity rates have increased, and social inequalities in each have varied over time. At the same time, mortality has declined in most high-income countries, but gaps by educational qualification persist-at least partially due to differential smoking and obesity distributions. This study uses a compass typology to simultaneously examine the magnitude and trends in educational inequalities across multiple countries in: a) smoking and obesity; b) smoking-related mortality and c) cause-specific mortality.

METHODS

Smoking prevalence, obesity prevalence and cause-specific mortality rates (35-79 year olds by sex) in nine European countries and New Zealand were sourced from between 1980 and 2010. We calculated relative and absolute inequalities in prevalence and mortality (relative and slope indices of inequality, respectively RII, SII) by highest educational qualification. Countries were then plotted on a compass typology which simultaneously examines trends in the population average rates or odds on the x-axis, RII on the Y-axis, and contour lines depicting SII.

FINDINGS

Smoking and obesity. Smoking prevalence in men decreased over time but relative inequalities increased. For women there were fewer declines in smoking prevalence and relative inequalities tended to increase. Obesity prevalence in men and women increased over time with a mixed picture of increasing absolute and sometimes relative inequalities. Absolute inequalities in obesity increased for men and women in Czech Republic, France, New Zealand, Norway, for women in Austria and Lithuania, and for men in Finland. Cause-specific mortality. Average rates of smoking-related mortality were generally stable or increasing for women, accompanied by increasing relative inequalities. For men, average rates were stable or decreasing, but relative inequalities increased over time. Cardiovascular disease, cancer, and external injury rates generally decreased over time, and relative inequalities increased. In Eastern European countries mortality started declining later compared to other countries, however it remained at higher levels; and absolute inequalities in mortality increased whereas they were more stable elsewhere.

CONCLUSIONS

Tobacco control remains vital for addressing social inequalities in health by education, and focus on the least educated is required to address increasing relative inequalities. Increasing obesity in all countries and increasing absolute obesity inequalities in several countries is concerning for future potential health impacts. Obesity prevention may be increasingly important for addressing health inequalities in some settings. The compass typology was useful to compare trends in inequalities because it simultaneously tracks changes in rates/odds, and absolute and relative inequality measures.

The case for action on socioeconomic differences in overweight and obesity among Australian adults: modelling the disease burden and healthcare costs

OBJECTIVE

We aimed to quantify the extent to which socioeconomic differences in body mass index (BMI) drive avoidable deaths, incident disease cases and healthcare costs.

METHODS

We used population attributable fractions to quantify the annual burden of disease attributable to socioeconomic differences in BMI for Australian adults aged 20 to <85 years in 2016, stratified by quintiles of an area-level indicator of socioeconomic disadvantage (SocioEconomic Index For Areas Indicator of Relative Socioeconomic Disadvantage; SEIFA) and BMI (normal weight, overweight, obese). We estimated direct healthcare costs using annual estimates per person per BMI category.

RESULTS

We attributed $AU1.06 billion in direct healthcare costs to socioeconomic differences in BMI in 2016. The greatest number (proportion) of cases and deaths attributable to socioeconomic differences in BMI was observed for type 2 diabetes among women (8,602 total cases [16%], with 3,471 cases [22%] in the most disadvantaged quintile [SEIFA 1]) and all-cause mortality among men (2027 total deaths [4%], with 815 deaths [6%] in SEIFA 1).

CONCLUSIONS

Socioeconomic differences in BMI substantially contribute to avoidable deaths, disease cases and direct healthcare costs in Australia. Implications for public health: Population-level policies to reduce socioeconomic differences in overweight and obesity must be identified and implemented.

Sociodemographic, lifestyle and metabolic predictors of all-cause mortality in a cohort of community-dwelling population: an 18-year follow-up of the North West Adelaide Health Study

INTRODUCTION

Studies examining potential factors of all-cause mortality comprehensively at community level are rare. Using long-term community-based follow-up study, we examined the association of sociodemographic and behavioural characteristics, metabolic and chronic conditions, and medication and health service utilisation with all-cause mortality.

METHODS

We followed 4056 participants, aged 18-90 years, for 18 years in the North West Adelaide Health Study (NWAHS). Mortality data were obtained from South Australian (SA) public hospitals and registries including SA births, deaths and marriages, the National Death Index and the NWAHS follow-up. Predictors of all-cause mortality were explored using Cox proportional hazard model, adjusting for potential confounders. We performed subgroup analyses by sex and age.

RESULTS

Mean (SD) age at baseline was 50.4 (16.4) years. Less than half (47.8%) of the participants were men. A total of 64 689.7 person-years from 4033 participants with 18.7 years of follow-up were generated. The median follow-up time was 17.7 years; 614 deaths were recorded. The overall crude death rate was 9.6 (95% CI 8.9 to 10.4) per 1000 person-years. After adjusting for potential confounders, a reduced risk of mortality was significantly associated with being separated or divorced, being in the highest Socioeconomic Indexes for Areas quintile, engaging in moderate exercise, being overweight (body mass index: 25.0-29.9 kg/m²) and per 10% increase in per cent predicted forced expiratory volume in 1 s. We found that the most important predictors of all-cause mortality were sociodemographic and behavioural characteristics. Sociodemographic factors were more important predictors of all-cause mortality in young age bracket compared with older people.

CONCLUSIONS

Socioeconomic factors were found to be the most important predictors of all-cause mortality. The study highlights the need to address the social inequalities and strengthen behavioural interventions for different subgroups of population to prevent premature deaths.

Fruit and vegetable consumption and its contribution to inequalities in life expectancy and disability-free life expectancy in ten European countries

Objectives

To assess to what extent educational differences in total life expectancy (TLE) and disability-free life expectancy (DFLE) could be reduced by improving fruit and vegetable consumption in ten European countries.

Methods

Data from national census or registries with mortality follow-up, EU-SILC, and ESS were used in two scenarios to calculate the impact: the upward levelling scenario (exposure in low educated equals exposure in high educated) and the elimination scenario (no exposure in both groups). Results are estimated for men and women between ages 35 and 79 years.

Results

Varying by country, upward levelling reduced inequalities in DFLE by 0.1–1.1 years (1–10%) in males, and by 0.0–1.3 years (0–18%) in females. Eliminating exposure reduced inequalities in DFLE between 0.6 and 1.7 years for males (6–15%), and between 0.1 years and 1.8 years for females (3–20%).

Conclusions

Upward levelling of fruit and vegetable consumption would have a small, positive effect on both TLE and DFLE, and could potentially reduce inequalities in TLE and DFLE.

Electronic supplementary material

The online version of this article (10.1007/s00038-019-01253-w) contains supplementary material, which is available to authorized users.

Comparison of national cross-sectional breast-feeding surveys by maternal education in Europe (2006-2016)

OBJECTIVE

Breast-feeding is an important determinant of health of mothers and their offspring. The present study aimed to compare breast-feeding rates across Europe disaggregated by maternal education and establish what proportion achieves at least 50 % exclusive breast-feeding (EBF) at 6 months.Design/SettingSecondary analysis of national or sub-national studies' breast-feeding data for EU Member States plus Norway and Iceland, published in 2006-2016. Nineteen EU Member States plus Norway reported rates of EBF and any breast-feeding disaggregated by maternal education, of which only thirteen could be matched to the International Standard Classification of Education.ParticipantsMothers and their infants aged 0-12 months.

RESULTS

Data on EBF rates at 6 and 4 months were found in only four and six countries, respectively. At 6 months, EBF rates of 49 % in Slovakia and 44 % in Hungary were closest to WHO's target of at least 50 % EBF. At 4 months, mothers with high education level in Denmark, the Netherlands and Germany had the highest EBF rates (71, 52 and 50 %, respectively). Mothers with low education level were less likely to initiate breast-feeding and cessation occurred early. The inequality gap ranged from 63 % in Irish mothers to no gap or very low levels of inequality in Poland, Sweden and Norway.

CONCLUSIONS

More mothers with high, compared with low, education initiate breast-feeding and practise EBF for longer. More European policies should be targeted to protect, support and promote breast-feeding, especially among mothers with only mandatory education.

Quantifying the impact of reducing socioeconomic inequalities in modifiable risk factors on mortality and mortality inequalities in South Korea

OBJECTIVES

We quantified the impact of reducing socioeconomic inequalities in risk factors on mortality and mortality inequalities in South Korea.

METHODS

The mortality risk function from the 12-year mortality follow-up data of the National Health Insurance Service-National Health Screening Cohort, the prevalence of major risk factors from the Korea National Health and Nutrition Examination Survey 2013-2015, and the Health Plan 2020 (HP2020) goals for major risk factors were used to estimate the magnitude of reduction in mortality inequalities by changing the magnitude of income-based inequalities in risk factors in various scenarios under gender-specific models among participants aged 40-79 years.

RESULTS

The greatest reduction in absolute and relative inequalities in mortality would occur if the low-income group achieved the HP2020 goals earlier than the high-income group. A 10-20% reduction in all-cause mortality inequalities was expected if absolute gaps between income groups in risk factors were halved.

CONCLUSIONS

With the practical goal halving the socioeconomic gaps in modifiable risk factors, reducing inequalities in all-cause mortality by 10-20% would be possible. Further reduction in mortality inequalities would need more aggressive policies on social determinants of health.

The obesity transition: stages of the global epidemic

The global prevalence of obesity has increased substantially over the past 40 years, from less than 1% in 1975, to 6-8% in 2016, among girls and boys, and from 3% to 11% among men and from 6% to 15% among women over the same time period. Our aim was to consolidate the evidence on the epidemiology of obesity into a conceptual model of the so-called obesity transition. We used illustrative examples from the 30 most populous countries, representing 77·5% of the world's population to propose a four stage model. Stage 1 of the obesity transition is characterised by a higher prevalence of obesity in women than in men, in those with higher socioeconomic status than in those with lower socioeconomic status, and in adults than in children. Many countries in south Asia and sub-Saharan Africa are presently in this stage. In countries in stage 2 of the transition, there has been a large increase in the prevalence among adults, a smaller increase among children, and a narrowing of the gap between sexes and in socioeconomic differences among women. Many Latin American and Middle Eastern countries are presently at this stage. High-income east Asian countries are also at this stage, albeit with a much lower prevalence of obesity. In stage 3 of the transition, the prevalence of obesity among those with lower socioeconomic status surpasses that of those with higher socioeconomic status, and plateaus in prevalence can be observed in women with high socioeconomic status and in children. Most European countries are presently at this stage. There are too few signs of countries entering into the proposed fourth stage of the transition, during which obesity prevalence declines, to establish demographic patterns. This conceptual model is intended to provide guidance to researchers and policy makers in identifying the current stage of the obesity transition in a population, anticipating subpopulations that will develop obesity in the future, and enacting proactive measures to attenuate the transition, taking into consideration local contextual factors.

Socioeconomic Inequalities in the Rise of Adult Obesity: A Time-Trend Analysis of National Examination Data from Germany, 1990-2011

OBJECTIVE

Despite extensive study of the obesity epidemic, research on whether obesity has risen faster in lower or in higher socioeconomic groups is inconsistent. This study examined secular trends in obesity prevalence by socioeconomic position and the resulting obesity inequalities in the German adult population.

METHODS

Data were drawn from three national examination surveys conducted in 1990-1992, 1997-1999 and 2008-2011 (n = 18,541; age range: 25-69 years). Obesity was defined by a body mass index ≥30 kg/m2 using standardised measurements of body height and weight. Education and equivalised household disposable income were used as indicators of socioeconomic position. Time trends in socioeconomic inequalities in obesity were examined using linear probability and log-binomial regression models.

RESULTS

In each survey period, the highest socioeconomic groups had the lowest prevalence of obesity. The low and medium socioeconomic groups showed increases in obesity prevalence, whereas no such trend was observed in the high socioeconomic groups. Absolute inequalities in obesity by income increased by an average of 0.53 percentage points per year (95% confidence interval [CI] 0.01-1.05, p = 0.047) among men and 0.47 percentage points per year (95% CI 0.05-0.90, p = 0.029) among women. Absolute inequalities in obesity by education increased on average by 0.64 percentage points per year (95% CI 0.19-1.08, p = 0.005) among women but not among men (0.33 percentage points, 95% CI -0.27 to 0.92, p = 0.283).

CONCLUSIONS

These findings suggest a widening obesity gap between the top and the bottom of the socioeconomic spectrum. This has the potential to have adverse consequences for population health and health inequalities in coming decades. Interventions that are effective in preventing and reducing obesity in socially disadvantaged groups are needed.

Determinants of the magnitude of socioeconomic inequalities in mortality: A study of 17 European countries

The magnitude of socioeconomic inequalities in mortality differs importantly between countries, but these variations have not been satisfactorily explained. We explored the role of behavioral and structural determinants of these variations, by using a dataset covering 17 European countries in the period 1970-2010, and by conducting multilevel multivariate regression analyses. Our results suggest that between-country variations in inequalities in current mortality can partly be understood from variations in inequalities in smoking, excessive alcohol consumption, and poverty. Also, countries with higher national income, higher quality of government, higher social transfers, higher health care expenditure and more self-expression values have smaller inequalities in mortality. Finally, trends in behavioral risk factors, particularly smoking and excessive alcohol consumption, appear to partly explain variations in inequalities in mortality trends. This study shows that analyses of variations in health inequalities between countries can help to identify entry-points for policy.

Trends in educational inequalities in obesity in 15 European countries between 1990 and 2010

BACKGROUND

The prevalence of obesity increased dramatically in many European countries in the past decades. Whether the increase occurred to the same extent in all socioeconomic groups is less known. We systematically assessed and compared the trends in educational inequalities in obesity in 15 different European countries between 1990 and 2010.

METHODS

Nationally representative survey data from 15 European countries were harmonized and used in a meta-regression of trends in prevalence and educational inequalities in obesity between 1990 and 2010. Educational inequalities were estimated by means of absolute rate differences and relative rate ratios in men and women aged 30-64 years.

RESULTS

A statistically significant increase in the prevalence of obesity was found for all countries, except for Ireland (among men) and for France, Hungary, Italy and Poland (among women). Meta-regressions showed a statistically significant overall increase in absolute inequalities of 0.11% points [95% CI 0.03, 0.20] per year among men and 0.12% points [95% CI 0.04, 0.20] per year among women. Relative inequalities did not significantly change over time in most countries. A significant reduction of relative inequalities was found among Austrian and Italian women.

CONCLUSION

The increase in the overall prevalence aligned with a widening of absolute but not of relative inequalities in obesity in many European countries over the past two decades. Our findings urge for a further understanding of the drivers of the increase in obesity in lower education groups particularly, and an equity perspective in population-based obesity prevention strategies.

Influence of obesity and physical workload on disability benefits among construction workers followed up for 37 years

OBJECTIVES

The objectives of this study are to investigate the relation between obesity and labour force exit via diagnosis-specific disability benefits, and whether physical workload modifies this association.

METHODS

A longitudinal analysis was performed among 3 28 743 Swedish construction workers in the age of 15-65 years. Body weight and height were measured at a health examination and enriched with register information on disability benefits up to 37 years later. Diagnoses of disability benefits were categorised into cardiovascular diseases (CVDs), musculoskeletal diseases (MSDs), mental disorders and others. A job exposure matrix, based on self-reported lifting of heavy loads and working in bent forward or twisted position, was applied as a measure of physical workload. Cox proportional hazards regression analyses were performed, and the relative excess risk due to interaction (RERI) between obesity and physical workload was calculated.

RESULTS

Obese construction workers were at increased risk of receiving disability benefits (HR 1.70, 95% CI 1.65 to 2.76), mainly through CVD (HR 2.30) and MSD (HR 1.71). Construction workers with a high physical workload were also more likely to receive a disability benefit (HR 2.28, 95% CI 2.21 to 2.34), particularly via MSD (HR 3.02). Obesity in combination with a higher physical workload increased the risk of disability benefits (RERI 0.28) more than the sum of the risks of obesity and higher physical workload, particularly for MSD (RERI 0.44).

CONCLUSIONS

Obesity and a high physical workload are risk factors for disability benefit. Furthermore, these factors are synergistic risk factors for labour force exit via disability benefit through MSD. Comprehensive programmes that target health promotion to prevent obesity and ergonomic interventions to reduce physical workload are important to facilitate sustained employment.

The role of three lifestyle risk factors in reducing educational differences in ischaemic heart disease mortality in Europe

Background: Ischaemic heart disease (IHD) is one of the leading causes of death worldwide with a higher risk of dying among people with a lower socioeconomic status. We investigated the potential for reducing educational differences in IHD mortality in 21 European populations based on two counterfactual scenarios—the upward levelling scenario and the more realistic best practice country scenario. Methods: We used a method based on the population attributable fraction to estimate the impact of a modified educational distribution of smoking, overweight/obesity, and physical inactivity on educational inequalities in IHD mortality among people aged 30–79. Risk factor prevalence was collected around the year 2000 and mortality data covered the early 2000s. Results: The potential reduction of educational inequalities in IHD mortality differed by country, sex, risk factor and scenario. Smoking was the most important risk factor among men in Nordic and eastern European populations, whereas overweight and obesity was the most important risk factor among women in the South of Europe. The effect of physical inactivity on the reduction of inequalities in IHD mortality was smaller compared with smoking and overweight/obesity. Although the reduction in inequalities in IHD mortality may seem modest, substantial reduction in IHD mortality among the least educated can be achieved under the scenarios investigated. Conclusion: Population wide strategies to reduce the prevalence of risk factors such as smoking, and overweight/obesity targeted at the lower socioeconomic groups are likely to substantially contribute to the reduction of IHD mortality and inequalities in IHD mortality in Europe.

Non-communicable disease syndemics: poverty, depression, and diabetes among low-income populations

The co-occurrence of health burdens in transitioning populations, particularly in specific socioeconomic and cultural contexts, calls for conceptual frameworks to improve understanding of risk factors, so as to better design and implement prevention and intervention programmes to address comorbidities. The concept of a syndemic, developed by medical anthropologists, provides such a framework for preventing and treating comorbidities. The term syndemic refers to synergistic health problems that affect the health of a population within the context of persistent social and economic inequalities. Until now, syndemic theory has been applied to comorbid health problems in poor immigrant communities in high-income countries with limited translation, and in low-income or middle-income countries. In this Series paper, we examine the application of syndemic theory to comorbidities and multimorbidities in low-income and middle-income countries. We employ diabetes as an exemplar and discuss its comorbidity with HIV in Kenya, tuberculosis in India, and depression in South Africa. Using a model of syndemics that addresses transactional pathophysiology, socioeconomic conditions, health system structures, and cultural context, we illustrate the different syndemics across these countries and the potential benefit of syndemic care to patients. We conclude with recommendations for research and systems of care to address syndemics in low-income and middle-income country settings.

Determinants of preferences for lifestyle changes versus medication and beliefs in ability to maintain lifestyle changes. A population-based survey

Preferences for medication treatment versus lifestyle changes are of major importance in the management of chronic diseases. This study aims to investigate determinants of preference for lifestyle changes versus medication for prevention of cardiovascular disease as well as determinants of respondents' beliefs in their ability to maintain lifestyle changes. A representative sample of 40-60-year old Danish inhabitants was in 2012 invited to a survey and were asked to imagine that they had been diagnosed as being at increased risk of heart disease. Subsequently they were presented with a choice between a preventive medical intervention versus lifestyle change. The study population for the present paper comprises 1069 participants. A total of 962 participants preferred lifestyle changes to medication treatment. Significant determinants for preferring lifestyle changes were female gender and high level of physical activity. Significant determinants for not opting for lifestyle changes were being self-employed, poor self-rated health and smoking. Low educational attainment, lifestyle risk factors, self-reported health-related challenges and prior experience with heart disease were associated with a low belief in ability to maintain lifestyle changes. For conclusion we found a pervasive preference for lifestyle changes over medical treatment when individuals were promised the same benefits. Lifestyle risk factors and socioeconomic characteristics were associated with preference for lifestyle changes as well as belief in ability to maintain lifestyle changes. For health professionals risk communication should not only focus on patient preferences but also on patients' beliefs in their own ability to initiate lifestyle changes and possible barriers against maintaining changes.

An evaluation of equity and equality in physical activity policies in four European countries

Background

There is strong research evidence on the importance of health equity and equality for wellbeing in societies. As chronic non-communicable diseases are widespread, the positive impact of physical activity (PA) on health has gained importance. However, PA at the population level is far from optimal. PA depends not only on individual factors, but also on policies for PA in sport, health, transport, education and other sectors, on social and cultural factors, and on the environment. Addressing health inequalities and inequities in PA promotion policies could benefit from policy development processes based on partnership and collaboration between various sectors, researchers, practitioners and policy makers (= cross-sectoral, evidence-informed policy making). The objective of this article is to describe how equity and equality was addressed in PA policies in four EU member states (Denmark, Finland, Romania and England), who were partners in the REPOPA project (www.repopa.eu, EC/FP7/Health Research/GA 281532).

Methods

Content analysis of 14 PA policies and 61 interviews were undertaken between 2012 and 2013 with stakeholders involved in developing PA policies in partner countries.

Results

Even though specific population subgroups were mentioned in the policy documents analysed, they were not necessarily defined as vulnerable populations nor was there a mention of additional emphasis to support such groups from being marginalised by the policy due to inequity or inequality. There were no clear objectives and activities in the analysed policies suggesting commitment of additional resources in favour of such groups. Addressing equity and equality were often not included in the core aims of the policies analysed; these aspects were mentioned in the background of the policy documents analysed, without being explicitly stated in the aims or activities of the policies. In order to tackle health inequities and inequalities and their consequences on the health status of different population subgroups, a more instrumental approach to health equality and equity in PA promotion policies is needed. Policies should include aims to address health inequalities and inequities as fundamental objectives and also consider opportunities to allocate resources to reduce them for identified groups in this regard: the socially excluded, the remote, and the poor.

Conclusions

The inclusion of aspects related to health inequalities and inequities in PA policies needs monitoring, evaluation and transparent accountability if we are to see the best gains in health of socially disadvantaged group. To tackle health inequities and inequalities governance structures need to take into consideration proportionate universalism. Thus, to achieve change in the social determinants of health, policy makers should pay attention to PA and proportionally invest for universal access to PA services. PA promotion advocates should develop a deeper awareness of political and policy structures and require more equity and equality in PA policies from those who they seek to influence, within specific settings for policy making and developing the policy agenda.

Longitudinal Associations of Exposure to Perfluoroalkylated Substances in Childhood and Adolescence and Indicators of Adiposity and Glucose Metabolism 6 and 12 Years Later: The European Youth Heart Study

OBJECTIVE

To investigate the long-term association of exposure to perfluoroalkylated substances, including perfluorooctanesulfonic acid (PFOS) and perfluorooctanoic acid (PFOA), during childhood (9 years) and adolescence (15 years) on indicators of adiposity and glucose metabolism in adolescence (15 years) and young adulthood (21 years). Secondarily, we aim to clarify the degree of tracking of exposure from childhood into young adulthood.

RESEARCH DESIGN AND METHODS

Data derived from a large multicenter prospective cohort study, in which the same participants have been observed from childhood (N = 590), during adolescence (N = 444), and into young adulthood (N = 369). Stored plasma samples were analyzed for PFOS and PFOA. Indicators of adiposity comprising body height, body weight, sum of four skinfolds, and waist circumference, as well as indicators of glucose metabolism, comprising fasting blood glucose, triglyceride, and insulin levels, β-cell function, and insulin resistance, have been collected at all study waves. Multiple linear regression was applied in order to model earlier exposure on later outcome while controlling for baseline outcome levels, sex, age, and socioeconomic factors.

RESULTS

Childhood exposure to PFOS was associated with indicators of adiposity at 15 years of age that are displayed in elevated BMI, skinfold thickness, and waist circumference, as well as increased skinfold thickness and waist circumference at 21 years of age. PFOA exposure in childhood was associated with decreased β-cell function at 15 years of age. We did not observe associations between exposure during adolescence and indicators of adiposity and glucose metabolism in young adulthood.

CONCLUSIONS

This study found evidence for childhood exposure to PFOS and PFOA predicting adiposity at 15 and 21 years of age and impaired β-cell function at 15 years of age, respectively.