Smoking and the potential for reduction of inequalities in mortality in Europe

Cancer Burden Variations and Convergences in Globalization: A Comparative Study on the Tracheal, Bronchus, and Lung (TBL) and Liver Cancer Burdens Among WHO Regions from 1990 to 2019

Lung cancer and liver cancer are the leading and third causes of cancer death, respectively. Both lung and liver cancer are with clear major risk factors. A thorough understanding of their burdens in the context of globalization, especially the convergences and variations among WHO regions, is useful in precision cancer prevention worldwide and understanding the changing epidemiological trends with the expanding globalization. The Global Burden of Disease (GBD) and WHO Global Health Observatory (GHO) database were analyzed to evaluate the burden metrics and risk factors of trachea, bronchus, and lung (TBL) cancer and liver cancer. Western Pacific Region (WPR) had the highest age-standardized incidence rate (ASIR) for both liver cancer (11.02 [9.62-12.61] per 100,000 population) and TBL cancer (38.82 [33.63-44.04] per 100,000 population) in 2019. Disability-adjusted life years (DALYs) for liver and TBL cancer elevated with the increasing sociodemographic index (SDI) level, except for liver cancer in WPR and TBL cancer in European Region (EUR). Region of the Americas (AMR) showed the biggest upward trends of liver cancer age-standardized rates (ASRs), as well as the biggest downward trends of TBL cancer ASRs, followed by Eastern Mediterranean Region (EMR). Alcohol use and smoking were the leading cause of liver and TBL cancer death in most WHO regions. Variances of ASRs for liver and TBL cancer among WHO memberships have been decreasing during the past decade. The homogenization and convergence of cancer burdens were also demonstrated in different agegroups and sexes and in the evolution of associated risk factors and etiology. In conclusion, our study reflects the variations and convergences in the liver and lung cancer burdens among the WHO regions with the developing globalization, which suggests that we need to be acutely aware of the global homogeneity of the disease burden that accompanies increasing globalization, including the global convergences in various populations, risk factors, and burden metrics.

Socio-economic deprivation and cancer incidence in England: Quantifying the role of smoking

BACKGROUND

More deprived populations typically experience higher cancer incidence rates and smoking prevalence compared to less deprived populations. We calculated the proportion of cancer cases attributable to smoking by socio-economic deprivation in England and estimated the impact smoking has on the deprivation gap for cancer incidence.

METHODS

Data for cancer incidence (2013-2017), smoking prevalence (2003-2007) and population estimates (2013-2017) were split by sex, age-group and deprivation quintile. Relative risk estimates from meta-analyses were used to estimate the population attributable fraction (PAF) for 15 cancer types associated with smoking. The deprivation gap was calculated using age-specific incidence rates by deprivation quintile.

RESULTS

Smoking-related cancer PAFs in England are 2.2 times larger in the most deprived quintile compared to the least deprived quintile (from 9.7% to 21.1%). If everyone had the same smoking prevalence as the least deprived quintile, 20% of the deprivation gap in cancer incidence could have been prevented. If nobody smoked, 61% of the deprivation gap could have been prevented.

CONCLUSIONS

The majority of the deprivation gap in cancer incidence could have been prevented in England between 2013-2017 if nobody had smoked. Policy makers should ensure that tobacco control policies reduce overall smoking prevalence by tackling smoking inequalities.

Smoking cessation using preference-based tools among socially disadvantaged smokers: study protocol for a pragmatic, multicentre randomised controlled trial

INTRODUCTION

Many smoking cessation aids such as nicotine replacement treatments and e-cigarettes have been proven effective in aiding smoking cessation attempts. Encouraging smokers with low socioeconomic position (SEP) to choose their smoking aid tool based on their preferences, and giving that tool free of charge, might increase the odds of smoking cessation. This trial examines the effectiveness of the 'STOP' (Sevrage Tabagique à l'aide d'Outils dédiés selon la Préférence: Smoking cessation using preference-based tools), a preference-based smoking cessation intervention for smokers with low SEP.

METHODS AND ANALYSIS

The STOP study is a randomised, multicentre, controlled trial (RCT). Smokers with low SEP and wishing to quit will be randomised to either the intervention or the control group (standard care). Participants in the intervention group will be asked to choose between different types of nicotine substitutes (patches, inhalers, gum, tablets, etc) and/or an electronic cigarette which will be delivered free of charge to aid their smoking cessation attempt.The primary outcome will be smoking abstinence at 6 months after inclusion, defined as self-reported 7-day point prevalence of tobacco abstinence. Secondary outcomes include the total number of days of abstinence at 6 months after inclusion, 7-day point prevalence tobacco abstinence at 1 and 3 months after inclusion and number of relapses.The study will also include an economic evaluation, and a process evaluation using a mixed methods approach.

ETHICS AND DISSEMINATION

The study was approved by the 'Île de France II' Institutional Review Board on 8 September 2020 (CPP Île de France II; Ref No: 20.01.31.65528 RIPH2 HPS), and results will be published in a peer-reviewed journal.

TRIAL REGISTRATION NUMBER

NCT04654585.

Smoking cessation using preference-based tools: a mixed method pilot study of a novel intervention among smokers with low socioeconomic position

BACKGROUND

Compared to smokers with favorable socio-economic position (SEP), those with low SEP are less likely to have a successful smoking cessation attempt. Tailored approaches are therefore needed, and general practitioners could help reaching and assisting usually hard-to-reach population.

METHOD

STOP (Sevrage Tabagique à l'aide d'Outils dédiés selon la Préférence) is a pilot study, examining the feasibility, acceptability and potentiality of a smoking cessation intervention centered on smoker's preference. Smokers with low SEP, wishing to quit, were recruited in six healthcare centers in the Greater Paris area. They were asked to choose between different types of nicotine replacement therapy (NRT) products and/or e-cigarette with liquids delivered free of charge to aid their smoking cessation attempt. We describe the characteristics of recruited participants, their perception of smoking cessation aids, and the evolution of their smoking status 4 to 6 weeks after recruitment.

RESULTS

We recruited 49 participants, of which 29% chose an e-cigarette, 29% chose NRT and 42% chose both an e-cigarette and NRT. The intervention was shown to be acceptable by participants and health professionals. Among the 24 participants followed for at least one month, 14 (28% of all participants) stopped smoking, and 9 (18%) considerably reduced their consumption.

CONCLUSION

The STOP intervention is feasible and acceptable, even if more efforts should be made to limit lost-to-follow-up. This preference-based intervention also shows interesting prospect in helping smokers with low SEP quit smoking. We will test the efficacy of this preference-based intervention in a randomized controlled trial.

Tobacco-related cancers in Europe: The scale of the epidemic in 2018

BACKGROUND

Tobacco smoking is the major preventable cause of cancer. Despite the longstanding decline in smoking prevalence, lung cancer remains one of the most frequently diagnosed cancers in both sexes. We aimed to estimate the current cancer burden attributable to smoking in Europe.

METHODS

Smoking-related cancer incidence by country, cancer type, sex and age in Europe was estimated from GLOBOCAN 2018. We applied a modified version of the indirect method to estimate the population attributable fraction (PAF) for lung cancer and applied Levin's formula to estimate the PAF for other smoking-related cancer sites.

RESULTS

In Europe in 2018, 572,000 and 186,000 cancer cases were attributable to tobacco smoking in males and females respectively, accounting for 28% (males) and 10% (females) of all cancer cases. By region, the largest and the lowest PAF due to smoking in males occurred in Eastern Europe (35% of all cancer cases) and Northern Europe (21%), respectively. Among women, this pattern was reversed (16% in Northern Europe and 6% in Eastern Europe). Lung cancer accounted for more than half of the total cancer burden attributable to smoking (382,000). Other major contributors to the total PAF were lip, oral cavity and pharynx, bladder and laryngeal cancers in men (27% out of total PAF) and colorectal, pancreatic, oral cavity and pharyngeal cancers (21%) in women.

CONCLUSIONS

Tobacco smoking was responsible for one in five cancer cases in Europe in 2018. The introduction and robust implementation of tobacco control programmes are critical to reduce this cancer burden in the future.

Social inequalities in tobacco-attributable mortality in Spain. The intersection between age, sex and educational level

INTRODUCTION

First study of social inequalities in tobacco-attributable mortality (TAM) in Spain considering the joint influence of sex, age, and education (intersectional perspective).

METHODS

Data on all deaths due to cancer, cardiometabolic and respiratory diseases among people aged ≥35 years in 2016 were obtained from the Spanish Statistical Office. TAM was calculated based on sex-, age- and education-specific smoking prevalence, and on sex-, age- and disease-specific relative risks of death for former and current smokers vs lifetime non-smokers. As inequality measures, the relative index of inequality (RII) and the slope index of inequality (SII) were calculated using Poisson regression. The RII is interpreted as the relative risk of mortality between the lowest and the highest educational level, and the SII as the absolute difference in mortality.

RESULTS

The crude TAM rate was 55 and 334 per 100,000 in women and men, respectively. Half of these deaths occurred among people with the lowest educational level (27% of the population). The RII for total mortality was 0.39 (95%CI: 0.35-0.42) in women and 1.61 (95%CI: 1.55-1.67) in men. The SII was -41 and 111 deaths per 100,000, respectively. Less-educated women aged <55 years and men (all ages) showed an increased mortality risk; nonetheless, less educated women aged ≥55 had a reduced risk.

CONCLUSIONS

TAM is inversely associated with educational level in men and younger women, and directly associated with education in older women. This could be explained by different smoking patterns. Appropriate tobacco control policies should aim to reduce social inequalities in TAM.

Improving job strain might reduce inequalities in cardiovascular disease mortality in european men

Unfavorable psychosocial working conditions can lead to cardiovascular disease (CVD) mortality. Lower-occupational groups typically experience unfavorable psychosocial working conditions as compared to higher-occupational groups. We investigate the extent to which CVD mortality inequalities might be reduced if psychosocial working conditions for manual workers are raised to the level experienced by non-manual workers (upward-leveling scenario). We also investigate what would occur if psychosocial working conditions among manual and non-manual workers are raised to better levels as observed in the 'ideal' region (best practice scenario). Individual-level CVD mortality data from 12 European countries were obtained from the EURO-GBD-SE project (1998-2007). Psychosocial working conditions data (i.e. job strain) were extracted from the European Working Conditions Survey (2005) and rate ratios from literature reviews. Population attributable fractions (PAF) and two counterfactual scenarios (namely, upward-leveling scenario and best-practice scenario) were developed to examine employed male non-manual and manual workers. Results appeared to show that CVD mortality might be reduced in men when unfavorable psychosocial working conditions are improved for manual workers (PAF = 7.7%, 95% CI: 6.5-10.0). The upward-leveling scenario seems to reduce CVD mortality inequalities for manual workers, by 13-74%. Best-practice scenario shows the largest reduction in CVD mortality in the Baltic region (87 deaths per 100,000 person years). Findings suggest that rendering job strain in manual workers to the level experienced by non-manual workers might substantially reduce CVD mortality inequalities in European men.

The proportion of cancers attributable to social deprivation: A population-based analysis of Australian health data

BACKGROUND

Cancer is a major disease burden globally and people who are socioeconomically disadvantaged have a higher incidence of many types of cancer. We investigated the potential to reduce socioeconomic disparities in cancer incidence in Australia by lowering the prevalence of exposure to four modifiable causes: smoking, alcohol, overweight/obesity and physical inactivity.

METHODS

We used cancer incidence data from the Australian Cancer Database and risk factor prevalence data from the Australian National Health Survey to estimate the proportions of cancers attributable to the four factors, by area-level socioeconomic disadvantage. For the three risk factors where prevalence was lowest among the least disadvantaged (smoking, overweight/obesity, physical inactivity), we also estimated the potential impact of reducing prevalence in the most disadvantaged areas to that in the least disadvantaged areas.

RESULTS

The proportion of cancer attributable to the four factors in combination ranged from 22 % in the most disadvantaged areas to 14 % in the least disadvantaged areas. If the prevalence of tobacco smoking, overweight/obesity and physical inactivity in the more disadvantaged areas were the same as that in the least disadvantaged, an estimated 19,500 cancers (4 % of all cancers diagnosed) could have been prevented in Australia between 2009 and 2013.

CONCLUSIONS

Reducing the prevalence of key causal factors in areas of greater social disadvantage would prevent many cases of cancer. Strategies to achieve this in highly disadvantaged areas are needed.

The association of social and behavioral factors with dietary risks in adults: Evidence from the Kardiovize Brno 2030 study

BACKGROUND AND AIMS

Uncovering the main determinants of diet quality is one of the greatest challenges for Public Health, since it could guide future strategies and interventions against cardiovascular diseases (CVDs). The present cross-sectional analysis of the Kardiovize cohort evaluates the prevalence of dietary risk factors for CVDs and their association with social and behavioural characteristics in a random sample of 1536 adults (aged 25-64 years) from Brno, Czech Republic.

METHODS AND RESULTS

A face-to-face health interview guided by structured questionnaires was carried out on socio-demographic characteristics (age, sex, educational level, employment, marital status, income, and household size) and behaviours (smoking status, physical activity, and sleep habits). Twelve dietary risk factors covered by the Global Burden of Diseases comparative risk assessment framework were assessed using a Food Frequency Questionnaire. In general, we observed that the consumption of nearly all healthy foods and nutrients was suboptimal, and that it was also aggravated by high intake of foods and nutrients that constituted dietary risk factors. Moreover, we found several associations of social and behavioural characteristics with specific dietary risk factors. Particularly, being male (β = 0.466; SE = 0.079; p < 0.001), increasing household size (β = 0.130; SE = 0.047; p = 0.006), low income (β = 0.192; SE = 0.091; p = 0.035), and decreasing physical activity level (β = 0.172; SE = 0.054; p = 0.002) were associated with increasing number of dietary risk factors.

CONCLUSION

Thus, our study raises an urgent need for Public Health strategies promoting healthy eating in adulthood, which should be based on traditional and novel determinants of dietary risk.

Tobacco price increases in Korea and their impact on socioeconomic inequalities in smoking and subsequent socioeconomic inequalities in mortality: a modelling study

OBJECTIVE

Through a modelling study, we assessed the impact of tobacco price increases on smoking and smoking inequalities by income, and then quantified the subsequent effects on mortality and inequalities in mortality in Korea.

METHODS

Eleven-year pooled data from the Korea National Health and Nutrition Examination Survey (KNHANES) (n=65 197) were used to estimate the income group-specific price elasticity. The price elasticity was then used to calculate changes in current smoking prevalence and per capita cigarette consumption resulting from a spectrum of hypothetical tobacco price increases. The mortality risk function from the 10-year mortality follow-up data of the National Health Insurance Service-National Sample Cohort (n=293 858, numbers of deaths=14 953) and the current distributions of smoking-related variables from the KNHANES 2015-2017 were employed to estimate the effect of tobacco price increases on inequality in mortality.

RESULTS

Low-income Korean smokers were more responsive to changes in tobacco price. Increasing the tobacco price by 100% would achieve the overall reduction of 2.0% for 10-year mortality. For mortality inequalities by income, the relative index of inequality (slope index of inequality) would be reduced by 3.8% (4.8%) for 10-year mortality.

CONCLUSIONS

This modelling study showed that tobacco price increases in Korea can reduce current smoking prevalence and per capita cigarette consumption in the whole population, and especially among the poor, which in turn would reduce the gap in mortality between income groups.

Nicotine addiction as a moral problem: Barriers to e-cigarette use for smoking cessation in two working-class areas in Northern England

Tobacco use in high-income countries correlates with socio-economic disadvantage, but although switching to electronic cigarettes could be a safer alternative, little is known about barriers to use. Drawing on eighteen months of data collection in two areas of Northern England in 2017/18 including ethnography and interviews with 59 smokers and e-cigarette users, I show that concern about continued nicotine addiction either deterred working-class smokers from switching to e-cigarettes or dictated the conditions of their use. Research participants were unhappy about addiction both as loss of control experienced as moral failure and as neglect of financial responsibilities i.e. role performance failure in relation to family responsibilities, or what I call ‘thrift as care’. They reduced the moral burden of addiction by lowering nicotine content, rejecting pleasure and minimising expenditure. They chose the cheapest possible tobacco, switched from combusted tobacco to cheaper e-cigarettes and bought cheap e-cigarettes and liquids. For working-class smokers, minimising spend on what they perceive negatively as addiction may be a greater moral concern than reducing health risk. I conclude that ensuring that vaping is significantly cheaper than smoking may be key to addressing health inequalities linked to tobacco use.

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Working-class smokers avoided e-cigarettes because of concern about addiction.

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Those who did switch preferred a medical to a recreational model of use.

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Users reduced nicotine content, minimised spending and avoided exotic flavours.

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Failure of willpower and role performance (thrift as care) created addiction shame.

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Ensuring that vaping is cheaper than smoking is key to harm reduction.

Socioeconomic inequality in non-communicable diseases in Europe between 2004 and 2015: evidence from the SHARE survey

Background

The scope of this work was to investigate socioeconomic inequalities among European adults aged 50 or older in chronic diseases and behavioural risk factors for these diseases, namely, smoking habits, obesity and physical inactivity, between 2004 and 2015.

Methods

Data for this study were drawn from the Survey of Health, Ageing and Retirement (SHARE) in Europe, which is a panel database of microdata on health, socioeconomic status and social and family networks of people aged 50 years or older, covering most of the European Union. The predicted number of non-communicable diseases (NCDs) was used to estimate the concentration index and to find the contributions of determinants to socioeconomic inequalities in chronic diseases.

Results

The inequality disfavoured the poor in both years, but the effect was stable from 2004 (C = -0.071) to 2015 (C = -0.081). Inequality was shown to be attributed mostly to physical inactivity and obesity and this contribution increased during the study period. Among socioeconomic status (SES) determinants, education and marital status were the most concentrated in both years, while physical inactivity and obesity were the most concentrated behavioural risk factors in both years.

Conclusions

To prevent chronic diseases, health policy should aim not only to improve individual health behaviours in the population, but also to reduce socioeconomic inequality. Our study suggests promoting a healthy lifestyle in the most disadvantaged socioeconomic classes as a strategy to improve the health conditions of the whole population.

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.

Thirty-eight-year trends of educational differences in smoking in Finland

Objectives

Smoking is declining, but it is unevenly distributed among population groups. Our aim was to examine the socio-economic differences in smoking during 1978–2016 in Finland, a country with a history of strict tobacco control policy.

Methods

Annual population-based random sample data of 25–64-year-olds from 1978 to 2016 (N = 104,315) were used. Response rate varied between 84 and 40%. In addition to logistic regression analysis, absolute and relative educational differences in smoking were examined.

Results

Smoking was more prevalent among the less educated but declined in all educational groups during the study period. Both absolute and relative differences in smoking between the less and highly educated were larger at the end of the study period than at the beginning. Cigarette price seemed to have a larger effect on the smoking among the less educated.

Conclusions

Socio-economic differences in smoking among the Finnish adult population have increased since the 1970s until 2016. Further actions are needed, especially focusing on lower socio-economic positions, to tackle inequalities in health. They should include support for smoking cessation and larger cigarette tax increases.

Electronic supplementary material

The online version of this article (10.1007/s00038-019-01228-x) contains supplementary material, which is available to authorized users.

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.

Comparing Observed and Unobserved Components of Childhood: Evidence From Finnish Register Data on Midlife Mortality From Siblings and Their Parents

In this study, we argue that the long arm of childhood that determines adult mortality should be thought of as comprising an observed part and its unobserved counterpart, reflecting the observed socioeconomic position of individuals and their parents and unobserved factors shared within a family. Our estimates of the observed and unobserved parts of the long arm of childhood are based on family-level variance in a survival analytic regression model, using siblings nested within families as the units of analysis. The study uses a sample of Finnish siblings born between 1936 and 1950 obtained from Finnish census data. Individuals are followed from ages 35 to 72. To explain familial influence on mortality, we use demographic background factors, the socioeconomic position of the parents, and the individuals' own socioeconomic position at age 35 as predictors of all-cause and cause-specific mortality. The observed part-demographic and socioeconomic factors, including region; number of siblings; native language; parents' education and occupation; and individuals' income, occupation, tenancy status, and education-accounts for between 10 % and 25 % of the total familial influence on mortality. The larger part of the influence of the family on mortality is not explained by observed individual and parental socioeconomic position or demographic background and thus remains an unobserved component of the arm of childhood. This component highlights the need to investigate the influence of childhood circumstances on adult mortality in a comprehensive framework, including demographic, social, behavioral, and genetic information from the family of origin.

Tobacco-attributable burden of cancer according to socioeconomic position in France

Smoking is a major preventable cause of cancers and is increasingly concentrated among the most deprived individuals leading to increasing socioeconomic inequalities in the incidence of cancers linked to smoking. We aimed to estimate the tobacco-attributable cancer burden according to socioeconomic position in France. The analysis was restricted to cancer sites for which tobacco smoking was recognized as a risk factor. Cancer cases by sex, age group and European Deprivation Index (EDI) among people aged 30-74 between 2006 and 2009 were obtained from cancer registries covering ∼20% of the French population. The tobacco-attributable burden of cancer according to EDI was estimated applying the population attributable fraction (PAF) computed with the Peto-Lopez method. The PAF increased from 56% in the least deprived EDI quintile to 70% in the most deprived EDI quintile among men and from 26% to 38% among women. In total, 28% of the excess cancer cases in the four most deprived EDI quintiles in men and 43% in women could be prevented if smoking in these 4 EDI quintiles was similar to that of the least deprived EDI quintile. A substantial smoking-attributable burden of cancer by socioeconomic position was observed in France. The results highlight the need for policies reducing tobacco consumption. More comprehensive interventions integrating the various dimensions of health determinants and proportionate according to socioeconomic position may essentially contribute to the reduction of socioeconomic inequalities in cancer.

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.

Ethnic variation in self-rated health-mortality association: Results from a 17-year follow-up study in Estonia

BACKGROUND AND AIM

Previous research has highlighted the role of self-rated health (SRH) as an important predictor of mortality. With substantial ethnic differences in SRH and mortality reported in Estonia, this study aims to examine the ethnic variation in SRH-mortality association in this setting.

MATERIALS AND METHODS

The baseline data come from the nationally representative 1996 Estonian Health Interview Survey. Individual records of 3983 respondents in the 25-79 age group were linked with mortality data with 17 years follow-up time. The association between SRH and all-cause mortality was analyzed using the Cox regression for two ethnic groups and separately for men and women.

RESULTS

Among ethnic Estonians, both men and women with bad or very bad SRH had about 60% higher mortality compared to those with good or very good SRH even after adjustment for age, socioeconomic and health-related variables. In contrast, SRH did not predict mortality among non-Estonian men and women. A strong and universal inverse association with mortality was found for personal income. Education (among men) and occupation (among women) predicted mortality only among non-Estonians, whereas ever smoking was associated with mortality in Estonian men and women. Overweight women had lower mortality risk compared to women in normal weight category.

CONCLUSIONS

We found considerable ethnic variation in SRH-mortality association and in socioeconomic predictors of mortality. Further research, preferably focusing on cause-specific mortality and reporting heterogeneity of SRH could potentially shed further light on ethnic differences in SRH-mortality association in Estonia and more generally on socioeconomic inequalities in mortality in Eastern Europe.

Assessing the impact of natural policy experiments on socioeconomic inequalities in health: how to apply commonly used quantitative analytical methods?

BACKGROUND

The scientific evidence-base for policies to tackle health inequalities is limited. Natural policy experiments (NPE) have drawn increasing attention as a means to evaluating the effects of policies on health. Several analytical methods can be used to evaluate the outcomes of NPEs in terms of average population health, but it is unclear whether they can also be used to assess the outcomes of NPEs in terms of health inequalities. The aim of this study therefore was to assess whether, and to demonstrate how, a number of commonly used analytical methods for the evaluation of NPEs can be applied to quantify the effect of policies on health inequalities.

METHODS

We identified seven quantitative analytical methods for the evaluation of NPEs: regression adjustment, propensity score matching, difference-in-differences analysis, fixed effects analysis, instrumental variable analysis, regression discontinuity and interrupted time-series. We assessed whether these methods can be used to quantify the effect of policies on the magnitude of health inequalities either by conducting a stratified analysis or by including an interaction term, and illustrated both approaches in a fictitious numerical example.

RESULTS

All seven methods can be used to quantify the equity impact of policies on absolute and relative inequalities in health by conducting an analysis stratified by socioeconomic position, and all but one (propensity score matching) can be used to quantify equity impacts by inclusion of an interaction term between socioeconomic position and policy exposure.

CONCLUSION

Methods commonly used in economics and econometrics for the evaluation of NPEs can also be applied to assess the equity impact of policies, and our illustrations provide guidance on how to do this appropriately. The low external validity of results from instrumental variable analysis and regression discontinuity makes these methods less desirable for assessing policy effects on population-level health inequalities. Increased use of the methods in social epidemiology will help to build an evidence base to support policy making in the area of health inequalities.

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.

Educational disparities in the intention to quit smoking among male smokers in China: a cross-sectional survey on the explanations provided by the theory of planned behaviour

OBJECTIVES

We aim to describe the intention to quit smoking among Chinese male smokers from different educational backgrounds and to explain this intention from their attitude, perceived social norms and self-efficacy regarding smoking cessation.

SETTING

Participants were recruited from workplaces and communities to reflect the occupational distribution in three cities (Shanghai, Nanning and Mudanjiang) in China.

DESIGN AND PARTICIPANTS

In 2013 interviews were conducted with 3676 male smokers aged 18 years and older.

OUTCOME MEASURES

Multivariate logistic regression analyses calculated educational differences in the intention to quit smoking as well as the association between the intention to quit smoking and attitude, subjective norms, and self-efficacy. Bootstrapping estimated to what extent the educational disparities in the intention to quit smoking were mediated by these three determinants.

RESULTS

No educational disparities in the intention to quit smoking within 1 or 6 months were observed among male Chinese smokers (p=0.623 and p=0.153, respectively). A less negative attitude, a higher perceived subjective norm towards smoking cessation, and a higher perceived self-efficacy to quit smoking were all associated with intention to quit (all p values <0.001). Perceived subjective norms were the only component of the theory of planned behaviour that statistically significantly mediated the differences in the intention to quit smoking (within 1 or 6 months) between the lowest educated Chinese men and the groups with lower (β=0.039, 95% CI 0.017 to 0.071 and β=0.043, 95% CI 0.019 to 0.073), higher (β=0.041, 95% CI 0.017 to 0.075 and β=0.045, 95% CI 0.019 to 0.077) and the highest education (β=0.045, 95% CI 0.019 to 0.080 and β=0.050, 95% CI 0.023 to 0.083).

CONCLUSIONS

In order to prevent future socioeconomic disparities in smoking cessation, investment in a more stimulating social environment and norms towards smoking cessation among particularly the lowest educated Chinese men is warranted.

The impact of increasing income inequalities on educational inequalities in mortality - An analysis of six European countries

Background

Over the past decades, both health inequalities and income inequalities have been increasing in many European countries, but it is unknown whether and how these trends are related. We test the hypothesis that trends in health inequalities and trends in income inequalities are related, i.e. that countries with a stronger increase in income inequalities have also experienced a stronger increase in health inequalities.

Methods

We collected trend data on all-cause and cause-specific mortality, as well as on the household income of people aged 35–79, for Belgium, Denmark, England & Wales, France, Slovenia, and Switzerland. We calculated absolute and relative differences in mortality and income between low- and high-educated people for several time points in the 1990s and 2000s. We used fixed-effects panel regression models to see if changes in income inequality predicted changes in mortality inequality.

Results

The general trend in income inequality between high- and low-educated people in the six countries is increasing, while the mortality differences between educational groups show diverse trends, with absolute differences mostly decreasing and relative differences increasing in some countries but not in others. We found no association between trends in income inequalities and trends in inequalities in all-cause mortality, and trends in mortality inequalities did not improve when adjusted for rising income inequalities. This result held for absolute as well as for relative inequalities. A cause-specific analysis revealed some association between income inequality and mortality inequality for deaths from external causes, and to some extent also from cardiovascular diseases, but without statistical significance.

Conclusions

We find no support for the hypothesis that increasing income inequality explains increasing health inequalities. Possible explanations are that other factors are more important mediators of the effect of education on health, or more simply that income is not an important determinant of mortality in this European context of high-income countries. This study contributes to the discussion on income inequality as entry point to tackle health inequalities. More research is needed to test the common and plausible assumption that increasing income inequality leads to more health inequality, and that one needs to act against the former to avoid the latter.

Electronic supplementary material

The online version of this article (doi:10.1186/s12939-016-0390-0) contains supplementary material, which is available to authorized users.

Contribution of smoking to socioeconomic inequalities in mortality: a study of 14 European countries, 1990-2004

BACKGROUND

Smoking contributes to socioeconomic inequalities in mortality, but the extent to which this contribution has changed over time and driven widening or narrowing inequalities in total mortality remains unknown. We studied socioeconomic inequalities in smoking-attributable mortality and their contribution to inequalities in total mortality in 1990-1994 and 2000-2004 in 14 European countries.

METHODS

We collected, harmonised and standardised population-wide data on all-cause and lung-cancer mortality by age, gender, educational and occupational level in 14 European populations in 1990-1994 and 2000-2004. Smoking-attributable mortality was indirectly estimated using the Preston-Glei-Wilmoth method.

RESULTS

In 2000-2004, smoking-attributable mortality was higher in lower socioeconomic groups in all countries among men, and in all countries except Spain, Italy and Slovenia, among women, and the contribution of smoking to socioeconomic inequalities in mortality varied between 19% and 55% among men, and between -1% and 56% among women. Since 1990-1994, absolute inequalities in smoking-attributable mortality and the contribution of smoking to inequalities in total mortality have decreased in most countries among men, but increased among women.

CONCLUSIONS

In many European countries, smoking has become less important as a determinant of socioeconomic inequalities in mortality among men, but not among women. Inequalities in smoking remain one of the most important entry points for reducing inequalities in mortality.

Population health and status of epidemiology in Western European, Balkan and Baltic countries

BACKGROUND

This article is part of a series commissioned by the International Epidemiological Association, aimed at describing population health and epidemiological resources in the six World Health Organization (WHO) regions. It covers 32 of the 53 WHO European countries, namely the Western European countries, the Balkan countries and the Baltic countries.

METHODS

The burdens of mortality and morbidity and the patterns of risk factors and inequalities have been reviewed in order to identify health priorities and challenges. Literature and internet searches were conducted to stock-take epidemiological teaching, research activities, funding and scientific productivity.

FINDINGS

These countries have among the highest life expectancies worldwide. However, within- and between-country inequalities persist, which are largely due to inequalities in distribution of main health determinants. There is a long tradition of epidemiological research and teaching in most countries, in particular in the Western European countries. Cross-national networks and collaborations are increasing through the support of the European Union which fosters procedures to standardize educational systems across Europe and provides funding for epidemiological research through framework programmes. The number of Medline-indexed epidemiological research publications per year led by Western European countries has been increasing. The countries accounts for nearly a third of the global epidemiological publication.

CONCLUSIONS

Although population health has improved considerably overall, persistent within- and between-country inequalities continue to challenge national and European health institutions. More research, policy and action on the social determinants of health are required in the region. Epidemiological training, research and workforce in the Baltic and Balkan countries should be strengthened. European epidemiologists can play pivotal roles and must influence legislation concerning production and access to high-quality data.

The Rotterdam Study: 2016 objectives and design update

The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, otolaryngological, locomotor, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in over 1200 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy ). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods.

What is the association of smoking and alcohol use with the increase in social inequality in mortality in Denmark? A nationwide register-based study

OBJECTIVES

The aim of this paper is to estimate the impact of smoking and alcohol use on the increase in social inequality in mortality in Denmark in the period 1985-2009.

DESIGN

A nationwide register-based study.

SETTING

Denmark.

PARTICIPANTS

The whole Danish population aged 30 years or more in the period 1985-2009.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome is mortality rates in relation to educational attainments calculated with and without deaths related to smoking and alcohol use. An absolute measure of inequality in mortality is applied along with a result on the direct contribution from smoking and alcohol use on the absolute difference in mortality rates. The secondary outcome is life expectancy in relation to educational attainments.

RESULTS

Since 1985, Danish overall mortality rates have decreased. Alongside the improvement in mortality, the absolute difference in the mortality rate (per 100,000 persons) between the lowest and the highest educated quartile grew from 465 to 611 among men and from 250 to 386 among women. Smoking and alcohol use have caused 75% of the increase among men and 97% of the increase among women. Among men the increase was mainly caused by alcohol. In women the increase was mainly caused by smoking.

CONCLUSIONS

The main explanation for the increase in social inequality in mortality since the mid-1980s is smoking and alcohol use. A significant reduction in the social inequality in mortality can only happen if the prevention of smoking and alcohol use are targeted to the lower educated part of the Danish population.

Trends in educational inequalities in cause specific mortality in Norway from 1960 to 2010: a turning point for educational inequalities in cause specific mortality of Norwegian men after the millennium?

Background

Educational inequalities in total mortality in Norway have widened during 1960–2000. We wanted to investigate if inequalities have continued to increase in the post millennium decade, and which causes of deaths were the main drivers.

Methods

All deaths (total and cause specific) in the adult Norwegian population aged 45–74 years over five decades, until 2010 were included; in all 708,449 deaths and over 62 million person years. Two indices of inequalities were used to measure inequality and changes in inequalities over time, on the relative scale (Relative Index of Inequality, RII) and on the absolute scale (Slope Index of Inequality, SII).

Results

Relative inequalities in total mortality increased over the five decades in both genders. Among men absolute inequalities stabilized during 2000–2010, after steady, significant increases each decade back to the 1960s, while in women, absolute inequalities continued to increase significantly during the last decade. The stabilization in absolute inequalities among men in the last decade was mostly due to a fall in inequalities in cardiovascular disease (CVD) mortality and lung cancer and respiratory disease mortality. Still, in this last decade, the absolute inequalities in cause-specific mortality among men were mostly due to cardiovascular diseases (CVD) (34% of total mortality inequality), lung cancer and respiratory diseases (21%). Among women the absolute inequalities in mortality were mostly due to lung cancer and chronic lower respiratory tract diseases (30%) and CVD (27%).

Conclusions

In men, absolute inequalities in mortality have stopped increasing, seemingly due to reduction in inequalities in CVD mortality. Absolute inequality in mortality continues to widen among women, mostly due to death from lung cancer and chronic lung disease. Relative educational inequalities in mortality are still on the rise for Norwegian men and women.

How can inequalities in mortality be reduced? A quantitative analysis of 6 risk factors in 21 European populations

BACKGROUND

Socioeconomic inequalities in mortality are one of the greatest challenges for health policy in all European countries, but the potential for reducing these inequalities is unclear. We therefore quantified the impact of equalizing the distribution of six risk factors for mortality: smoking, overweight, lack of physical exercise, lack of social participation, low income, and economic inactivity.

METHODS

We collected and harmonized data on mortality and risk factors by educational level for 21 European populations in the early 2000s. The impact of the risk factors on mortality in each educational group was determined using Population Attributable Fractions. We estimated the impact on inequalities in mortality of two scenarios: a theoretical upward levelling scenario in which inequalities in the risk factor were completely eliminated, and a more realistic best practice scenario, in which inequalities in the risk factor were reduced to those seen in the country with the smallest inequalities for that risk factor.

FINDINGS

In general, upward levelling of inequalities in smoking, low income and economic inactivity hold the greatest potential for reducing inequalities in mortality. While the importance of low income is similar across Europe, smoking is more important in the North and East, and overweight in the South. On the basis of best practice scenarios the potential for reducing inequalities in mortality is often smaller, but still substantial in many countries for smoking and physical inactivity.

INTERPRETATION

Theoretically, there is a great potential for reducing inequalities in mortality in most European countries, for example by equity-oriented tobacco control policies, income redistribution and employment policies. Although it is necessary to achieve substantial degrees of upward levelling to make a notable difference for inequalities in mortality, the existence of best practice countries with more favourable distributions for some of these risk factors suggests that this is feasible.

Variations in the relation between education and cause-specific mortality in 19 European populations: a test of the "fundamental causes" theory of social inequalities in health

Link and Phelan have proposed to explain the persistence of health inequalities from the fact that socioeconomic status is a "fundamental cause" which embodies an array of resources that can be used to avoid disease risks no matter what mechanisms are relevant at any given time. To test this theory we compared the magnitude of inequalities in mortality between more and less preventable causes of death in 19 European populations, and assessed whether inequalities in mortality from preventable causes are larger in countries with larger resource inequalities. We collected and harmonized mortality data by educational level on 19 national and regional populations from 16 European countries in the first decade of the 21st century. We calculated age-adjusted Relative Risks of mortality among men and women aged 30-79 for 24 causes of death, which were classified into four groups: amenable to behavior change, amenable to medical intervention, amenable to injury prevention, and non-preventable. Although an overwhelming majority of Relative Risks indicate higher mortality risks among the lower educated, the strength of the education-mortality relation is highly variable between causes of death and populations. Inequalities in mortality are generally larger for causes amenable to behavior change, medical intervention and injury prevention than for non-preventable causes. The contrast between preventable and non-preventable causes is large for causes amenable to behavior change, but absent for causes amenable to injury prevention among women. The contrast between preventable and non-preventable causes is larger in Central & Eastern Europe, where resource inequalities are substantial, than in the Nordic countries and continental Europe, where resource inequalities are relatively small, but they are absent or small in Southern Europe, where resource inequalities are also large. In conclusion, our results provide some further support for the theory of "fundamental causes". However, the absence of larger inequalities for preventable causes in Southern Europe and for injury mortality among women indicate that further empirical and theoretical analysis is necessary to understand when and why the additional resources that a higher socioeconomic status provides, do and do not protect against prevailing health risks.