Educational Inequalities In Smoking Research Articles

Disentangling the interplay between genes, cognitive skills, and educational level in adolescent and young adult smoking – The TRAILS study

Recent studies suggest that smoking and lower educational attainment may have genetic influences in common. However, little is known about the mechanisms through which genetics contributes to educational inequalities in adolescent and young adult smoking. Common genetic liabilities may underlie cognitive skills associated with both smoking and education, such as IQ and effortful control, in line with indirect health-related selection explanations. Additionally, by affecting cognitive skills, genes may predict educational trajectories and hereby adolescents’ social context, which may be associated with smoking, consistent with social causation explanations. Using data from the Dutch TRAILS Study (N = 1581), we estimated the extent to which polygenic scores (PGSs) for ever smoking regularly (PGSSMOK) and years of education (PGSEDU) predict IQ and effortful control, measured around age 11, and whether these cognitive skills then act as shared predictors of smoking and educational level around age 16, 19, 22, and 26. Second, we assessed if educational level mediated associations between PGSs and smoking. Both PGSs were associated with lower effortful control, and PGSEDU also with lower IQ. Lower IQ and effortful control, in turn, predicted having a lower educational level. However, neither of these cognitive skills were directly associated with smoking behaviour after controlling for covariates and PGSs. This suggests that IQ and effortful control are not shared predictors of smoking and education (i.e., no indirect health-related selection related to cognitive skills). Instead, PGSSMOK and PGSEDU, partly through their associations with lower cognitive skills, predicted selection into a lower educational track, which in turn was associated with more smoking, in line with social causation explanations. Our findings suggest that educational differences in the social context contribute to associations between genetic liabilities and educational inequalities in smoking.

The emergence of socioeconomic inequalities in smoking during adolescence and early adulthood

BackgroundWhile it is known that educational inequalities in smoking start during early and middle adolescence, it is unknown how they further develop until adulthood. The aim of this article is to map, in the Portuguese context, how educational inequalities in smoking emerge from pre-adolescence until young adulthood.MethodsThis study used longitudinal data from the EPITeen Cohort, which recruited adolescents enrolled in schools in Porto, Portugal. We included the 1,038 participants followed at ages 13 (2003/2004), 17, 21, and 24 years. We computed the odds ratio (OR) for the prevalence of smoking states (never smoking, experimenter, less-than-daily, daily and former smoker) and the incidence of transitions between these states, as function of age and education, stratified by sex. We also added interaction terms between age and education.ResultsEducational inequalities in daily smoking prevalence, with higher prevalence among those with lower educational level, emerged at 17 years old and persisted until higher ages. They were formed in a cumulative way by the increased risk of experimenting between 13 and 17 years, and increased risk of becoming daily smoker between 17 and 21 years. The incidence of smoking cessation was higher among the higher educated. Inequalities were formed similarly for women and men, but with lower level and showed no significance among women.ConclusionsThese results highlight that actions to prevent smoking should also take in account the potential impact in smoking inequalities, and should focus not only on middle adolescence but also on late adolescence and early adulthood.

Trends in socioeconomic inequalities in smoking in Turkey from 2008 to 2016

BackgroundSmoking inequalities in Turkey were previously demonstrated in an early stage of the smoking epidemic model. This paper aimed to assess the trends for socioeconomic inequalities in smoking in Turkey over the years in the context of the smoking epidemic model using data from the Global Adult Tobacco Survey (GATS) Turkey 2008–2012-2016.MethodsCross-sectional data were analyzed to calculate the association of smoking with, wealth, education, occupation and place of residence using age-standardized prevalence rates, odds ratios, relative index of inequality (RII) and slope index of inequality (SII). The analysis was performed separately for age groups (younger: 20–39 years/older: 40 and above years) and sex.ResultsYounger women with higher wealth and older women with higher wealth and education smoked more. For both age groups, smoking was increased for working class and urban women. Relative wealth inequalities in smoking narrowed and then showed a reversal for younger women (RII2008 = 3.37; 95% CI:1.64–3.40; RII2012 = 2.19; 95% CI:1.48–3.24; RII2016 = 0.80; 95% CI:0.58–1.10, p-for trend < 0.0001). Relative educational inequalities in smoking for older women also showed a narrowing (RII2008 = 21.45; 95% CI:11.74–39.19; RII2012 = 15.25; 95% CI:9.10–25.55; and RII2016 = 5.48; 95% CI:3.86–7.78, p-for trend < 0.0001). For older women, a similar narrowing was observed for wealth (RII2008 = 3.94; 95% CI:2.38–6.53; RII2012 = 2.79; 95% CI:1.80–4.32; and RII2016 = 1.34; 95% CI:0.94–1.91, p-for trend = 0.0001). The only significant trend for absolute inequalities was for younger women by wealth. This trend showed a narrowing and then a reversal (SII2008 = 0.14; 95% CI:0.09–1.20; SII2012 = 0.12; 95% CI:0.06–0.18; and SII2016 = -0.05; 95% CI:-0.12–0.02, p-for trend = 0.0001). Unlike women, smoking in men showed inverse associations for wealth and education, although not statistically confirmed for all years. Smoking was increased in working classes and unemployed men in 2012 and 2016. Inequalities did not show a trend in relative and absolute terms for men.ConclusionsFor smoking inequalities in Turkey, a transition to the next stage was observed, although the previously defined Southern European pattern also existed. Low socioeconomic women deserve special attention as well as stressors at work and drivers of smoking at urban settings.

24-Year trends in educational inequalities in adult smoking prevalence in the context of a national tobacco control program: The case of Brazil

Brazil was a low and middle-income country (LMIC) in the late-1980s when it implemented a robust national tobacco-control program (NTCP) amidst rapid gains in national incomes and gender equality. We assessed changes in smoking prevalence between 1989 and 2013 by education level and related these changes to trends in educational inequalities in smoking. Data were from four nationally representative cross-sectional surveys (1989, n = 25,298; 2003 n = 3845; 2008 n = 28,938; 2013 n = 47,440, ages 25–69 years). We estimated absolute (slope index of inequality, SII) and relative (relative index of inequality, RII) educational inequalities in smoking prevalence, separately for males and females. Additional analyses stratified by birth-cohort to assess generational differences. Smoking declined significantly between 1989 and 2013 in all education groups but declines among females were steeper in higher-educated groups. Consequently, both absolute and relative educational inequalities in female smoking widened threefold between 1989 and 2013 (RII: 1.31 to 3.60, SII: 5.3 to 15.0), but absolute inequalities in female smoking widened mainly until 2003 (SII: 15.8). Conversely, among males, declines were steeper in higher-educated groups only in relative terms. Thus, relative educational inequalities in male smoking widened between 1989 and 2013 (RII: 1.58 to 3.19) but mainly until 2008 (3.22), whereas absolute equalities in male smoking were unchanged over the 24-year period (1989: 21.1 vs. 2013: 23.2). Younger-cohorts (born ≥1965) had wider relative inequalities in smoking vs. older-cohorts at comparable ages, particularly in the youngest female-cohorts (born 1979–1988). Our results suggest that younger lower-SES groups, especially females, may be particularly vulnerable to differentially higher smoking uptake in LMICs that implement population tobacco-control efforts amidst rapid societal gains.

Moving Upstream: The Effect of Tobacco Clean Air Restrictions on Educational Inequalities in Smoking Among Young Adults.

Education affords a range of direct and indirect benefits that promote longer and healthier lives and stratify health lifestyles. We use tobacco clean air policies to examine whether policies that apply universally-interventions that bypass individuals' unequal access and ability to employ flexible resources to avoid health hazards-have an effect on educational inequalities in health behaviors. We test theoretically informed but competing hypotheses that these policies either amplify or attenuate the association between education and smoking behavior. Our results provide evidence that interventions that move upstream to apply universally regardless of individual educational attainment-here, tobacco clean air policies-are particularly effective among young adults with the lowest levels of parental or individual educational attainment. These findings provide important evidence that upstream approaches may disrupt persistent educational inequalities in health behaviors. In doing so, they provide opportunities to intervene on behaviors in early adulthood that contribute to disparities in morbidity and mortality later in the life course. These findings also help assuage concerns that tobacco clean air policies increase educational inequalities in smoking by stigmatizing those with the fewest resources.

The emergence of socioeconomic inequalities in smoking over the life-course

Background Despite the notable progress in tobacco control, tobacco is still an important problem worldwide. Furthermore, most studies report a strong association between education and smoking: less educated men are more likely to smoke; and there is also a gradient of smoking for women, although less marked than for men. This is a serious public health problem since is known that educational inequalities in smoking contribute substantially to the existence of inequalities in mortality. The educational differences in smoking are already observed in early life. Smoking is more common among those adolescents whose parents have lower educational levels and, particularly, in adolescents with lower own educational levels. However, there is still some uncertainty regarding the time inequalities emerge, and what explains their trends. This study aimed to find whether and how educational inequalities in smoking evolve from pre-adolescence until young adulthood. The present study tested these results in the Portuguese context, and for differences between men and women. Methods This study used data from the EPITeen Cohort that recruited 13-year-old adolescents born in 1990 and enrolled at public and private schools of Porto, Portugal. The participants were followed across four waves: 2003–2004, 2007/2008, 2011/2013, and 2014/2015. For this analysis, we considered 1038 participants. We evaluated the smoking status at each wave, and classified the participants as never smokers, experimenters, less than daily smokers, daily smokers, former experimenters (the ones that experimented in the past, but stopped and never smoked again), and former smokers. We modelled whether the smoking behaviours were influenced by the future educational attainment, since we hypothesized that education inequalities might emerge early, before adolescents complete their education (for example due to educational aspirations or expectations about the future). We computed the odds ratio of the logistic regressions for prevalence and incidence of smoking, adjusted by life stage (survey year) and participant's achieved education, and also with interactions for life stage with participant's achieved education. We then estimated the prevalence and incidence of smoking, using generalized estimating equation models. We stratified both the analyses by sex. Results The results showed that men with lower academical achievement were more likely to experiment until 17-years-old (OR = 1.72 for high education, and OR = 0.38 for the interaction with 17-years-old). However, those with higher academical achievement were more likely to experiment later, between 17- and 21-years-old (OR for the interaction was 0.72). Less of participants with higher academical achievement became daily smokers: despite the prevalence of daily smoking being very low at 13-years-old, the inequalities arose already at 17-years-old (OR for high education was 0.65, and for the interaction with 17 years and education was 0.49), and they were increasing with age. Former experimenters and former smokers prevalence were higher among low educated men, yet the differences were very small, and decreasing with age. Among women, the inequalities followed the same trends observed among men, except for inequalities in former experimenting, which were more prevalent among low educated, but reversed between 21- and 24-years-old. Conclusion Inequalities were formed in a cumulative way across the life-course: the inequalities in daily smoking were formed between 13- and 17-years-old with inequalities in smoking experimentation, and between 17- and 21-years-old with inequalities in daily smoking. Late adolescence and early adulthood were already important to define inequalities. Since the inequalities emerged early in life, and persisted after that, policies should already pay special attention to 13–21-year-old-group.

Trends in educational inequalities in smoking among adolescents in Germany since the early 2000s

Trends in educational inequalities in smoking among adolescents in Germany since the early 2000s

The role of self-control and cognitive functioning in educational inequalities in adolescent smoking and binge drinking

BackgroundLarge differences in substance use between educational levels originate at a young age, but there is limited evidence explaining these inequalities. The aim of this study was to test whether a) smoking and binge drinking are associated with lower levels of self-control and cognitive functioning, and b) associations between educational track and smoking and binge drinking, respectively, are attenuated after controlling for self-control and cognitive functioning.MethodsThis study used cross-sectional survey data of 15 to 20-year-olds (N = 191) from low, middle, and high educational tracks. We measured regular binge drinking and regular smoking (more than once a month), cognitive functioning (cognitive ability, reaction time and memory span), and self-control. Logistic regression models were used to assess the associations between educational track and smoking and binge drinking controlled for age, gender and social disadvantage, and for self-control and cognitive functioning.ResultsAccording to models that controlled for age, gender and social disadvantage only, respondents in the low educational track were more likely to drink heavily (OR = 3.25, 95% CI = 1.48–7.17) and smoke (OR = 5.74, 95% CI = 2.31–14.29) than adolescents in the high educational track. The association between educational track and binge drinking was hardly reduced after adjustment for self-control and cognitive ability (OR = 2.88, 95% CI = 1.09–7.62). Adjustment for self-control and cognitive functioning, especially cognitive ability, weakened the association between education and smoking (OR = 3.40, 95% CI = 1.11–10.37). However, inequalities in smoking remained significant and substantial.ConclusionsIn this study population, pre-existing variations between adolescents in terms of self-control and cognitive functioning played a minor role in educational inequalities in smoking, but not in binge drinking.

Trends in Absolute and Relative Educational Inequalities in Adult Smoking Since the Early 2000s: The Case of Germany.

Since the early 2000s, several tobacco control policies have been implemented in Germany. Current research is inconsistent about how strengthening tobacco control can affect social inequalities in smoking. This study examines whether educational inequalities in adult smoking have widened in Germany since 2003. Data were used from four cross-sectional national health surveys conducted between 2003 and 2012 (n = 54,197; age = 25-69 years). Participants who smoked daily or occasionally were classified as smokers. The regression-based Slope Index of Inequality and Relative Index of Inequality (RII) were calculated to estimate the extent of absolute and relative educational inequalities in smoking, respectively. In each survey year, smoking was associated with lower education. Overall, crude and age-standardized smoking rates declined over time. Stratified by education, trends of declining smoking rates were observed only in the high and medium education groups, whereas no statistically significant trend was found in the low education group. Relative educational inequalities in smoking increased significantly in men (2003: RII=1.74, 95% confidence interval 1.46 to 2.07; 2012: RII = 2.25, 95% confidence interval 1.90 to 2.67; p-trend = .019). Absolute educational inequalities in smoking were not found to have changed significantly during the study period. In the course of declining smoking rates, educational inequalities in smoking persisted in both absolute and relative terms. In men, relative inequalities in smoking may even have widened within only 9 years. Tobacco control policies should not only be targeted at the entire population but also attempt to reduce social inequalities in smoking by focusing more on socially disadvantaged groups. Smoking is associated with lower education in most European countries and contributes to social inequalities in health. Since the beginning of the 2000s, Germany has implemented a variety of tobacco control policies to reduce smoking in the population. This study reveals that despite a general decline in adult smoking, educational inequalities in smoking have persisted and even widened in Germany since 2003. The findings emphasize that more targeted efforts are needed to tackle smoking-induced inequalities in health.

Educational differences in awareness and use of the outpatient smoking cessation services program in Taiwan

Background: To reduce educational inequalities in smoking, it is important that smoking cessation services can reach lesseducated smokers. Studies on inequalities in awareness or use of smoking cessation services from Asian are lacking. This study assesses educational differences in awareness and use of a nationwide outpatient smoking cessation program in Taiwan.Methods: A total of 6,461 current smokers aged 25-64 was drawn from cross-sectional nationwide data of the 2012-2014 Adult Smoking Behaviour Survey. Multivariate logistic regression models were used to estimate the association between education and program awareness among current smokers and the association between education and program utilization among current smokers who were aware of the program and attempted to quit in the past 12 months.Results: About 27% of current smokers were aware of the program. The odds of being aware of the program were higher for high school graduates (AOR = 1.38, 95% CI = 1.02-1.86) and those with at least a college degree (AOR = 1.89, 95% CI = 1.33-2.70), compared to those with middle school or less education. About a quarter of those who were aware of the program and attempted to quit have used the program. There were no educational differences in program utilization.Conclusions: Given the educational inequalities in awareness of the outpatient program, tobacco-control policies should develop strategies to reach less educated smokers and overcome such inequalities.

Educational inequalities in smoking among Japanese adults aged 25-94 years: Nationally representative sex- and age-specific statistics.

BackgroundFew studies have investigated differences in age- and gender-specific educational gradients in tobacco smoking among the whole range of adult age groups. We examined educational inequality in smoking among Japanese adults aged 25–94 years.MethodsUsing a large nationally representative sample (167,925 men and 186,588 women) in 2010, prevalence of current smoking and heavy smoking among daily smokers and their inequalities attributable to educational attainment were analyzed according to sex and age groups.ResultsAmong men aged 25–34 years, junior high school graduates had the highest current smoking prevalence at 68.4% (95% confidence interval [CI], 66.0%–70.6%), and graduate school graduates had the lowest at 19.4% (95% CI, 17.2%–21.9%). High school graduates had the second highest current smoking prevalence (e.g., 55.9%; 95% CI, 54.9%–56.8% in men aged 25–34 years). Among men aged 75–94 years, the difference in current smoking across educational categories was small. A similar but steeper educational gradient in current smoking was observed among women. Among women aged 25–34 years, junior high school graduates had the highest current smoking prevalence at 49.3% (95% CI, 46.3%–52.3%), and graduate school graduates had the lowest at 4.8% (95% CI, 2.9%–7.4%). Compared with older age groups, such as 65–94 years, younger age groups, such as 25–54 years, had higher estimates of inequality indicators for educational inequality in both current and heavy smoking in both sexes.ConclusionsEducational inequalities in current and heavy smoking were apparent and large in the young population compared with older generations. The current study provides basic data on educational inequalities in smoking among Japanese adults.

Trends in educational inequalities in smoking and sporting inactivity in Germany from 2003 to 2012

Trends in educational inequalities in smoking and sporting inactivity in Germany from 2003 to 2012

Educational inequalities in smoking over the life cycle: an analysis by cohort and gender.

The study investigates the life cycle patterns of educational inequalities in smoking according to gender over three successive generations. Based on retrospective smoking histories collected by the nationwide French Health Barometer survey 2010, we explored educational inequalities in smoking at each age, using the relative index of inequality. Educational inequalities in smoking increase across cohorts for men and women, corresponding to a decline in smoking among the highly educated alongside progression among the lower educated. The analysis also shows a life cycle evolution: for all cohorts and for men and women, inequalities are considerable during adolescence, then start declining from 18years until the age of peak prevalence (around 25), after which they remain stable throughout the life cycle, even tending to rise for the most recent cohort. This analysis contributes to the description of the "smoking epidemic" and highlights adolescence and late adulthood as life cycle stages with greater inequalities.

Widening educational inequalities in adolescent smoking following national tobacco control policies in the Netherlands in 2003: a time–series analysis

In 2003, the Netherlands introduced tobacco control policies, including bans on tobacco sales to minors, advertising and sponsoring and tobacco sales in government institutions. We examined the extent to which these policies were associated with a change in educational inequalities in adolescent smoking. Repeated cross-sectional survey. The Netherlands, 1992-2011. A total of 43 527 14-19-year-old adolescents. Data were obtained from the national Youth Smoking Monitor. We used logistic regression analyses to model the immediate change in daily smoking prevalence in 2003, the trends and the changes in trends. Models included interactions between educational level (high versus low, based on the educational track of the respondent) and, respectively, period (after versus before 2003), time and time × period. Before 2003 the smoking trend declined slightly, and the decline was comparable for students of both high and low educational levels. Immediately after tobacco policies were introduced, daily smoking prevalence dropped for the total population [regression coefficient (β) = -0.340, 95% confidence interval (CI) = -0.445; -0.236]. This drop was larger for high educational level compared to low educational level (β interaction = -0.400, 95% CI = -0.623; -0.176). After 2003, trends in educational inequalities in smoking stabilized. Following the introduction of new tobacco control policies in the Netherlands in 2003, smoking prevalence rates decreased among adolescents of both higher and lower educational levels. However, socio-economic inequalities in adolescent smoking increased.

Understanding the links between education and smoking

This study extends the theoretical and empirical literature on the relationship between education and smoking by focusing on the life course links between experiences from adolescence and health outcomes in adulthood. Differences in smoking by completed education are apparent at ages 12–18, long before that education is acquired. I use characteristics from the teenage years, including social networks, future expectations, and school experiences measured before the start of smoking regularly to predict smoking in adulthood. Results show that school policies, peers, and youths’ mortality expectations predict smoking in adulthood but that college aspirations and analytical skills do not. I also show that smoking status at age 16 predicts both completed education and adult smoking, controlling for an extensive set of covariates. Overall, educational inequalities in smoking are better understood as a bundling of advantageous statuses that develops in childhood, rather than the effect of education producing better health.

Decennial trends of social differences in smoking habits in Italy: a 30-year update

To update educational inequalities in smoking in Italy up to 2009, with an in-depth analysis of female prevalence. Data from 15 national health surveys (1980, 1983, 1986-1987, 1990, 1994, 1999-2003, 2005-2009) were analyzed. The overall sample size was representative of the population older than 25 years of age (3,300,000 men and 3,620,000 women). Main measures smoking prevalence rates standardized to the 2,000 European population, prevalence ratios by educational level (high: university degree or high school diploma; low: primary or middle school diploma), area (north, center, south and islands), and age-group (25-44, 45-59, >=60 years). Trends in tobacco prevalence were also analyzed with a multivariate approach using the negative binomial distribution. Although male prevalence steadily declined of about 2% annually from 56.1% in 1980 to 30.2% in 2009, educational inequalities slightly widened, recording in 2009 a 53% higher prevalence in men with low educational level compared to graduates. Even though female prevalence stalled around 18% in the last three decades, this was the result of opposite trends by educational group. In fact, highly educated women, with the highest prevalence during 1980s, decreased their tobacco use, determining a reversal similar to men in educational inequalities in smoking. This reversal occurred from the 1980s onwards with a time gradient starting from north to south and from younger to older women. To achieve a fairer reduction in smoking habits, tobacco control policies focusing on lower social groups are needed.

Educational inequalities in smoking: The role of initiation versus quitting

The existing literature on educational inequalities in adult smoking has focused extensively on differences in current smoking and quitting, rather than on differences in never smoking regularly (initiation) by education in the adult population. Knowing the relative contribution of initiation versus quitting is critical for understanding the mechanisms that produce educational gradients in smoking because initiation and quitting occur at different points in the life course. Using data from 31 waves of the U.S. National Health Interview Survey (N = 587,174), the analyses show the relative likelihood of being a never versus former smoker by education, sex, and age from 1966 to 2010 and for birth cohorts from 1920 to 1979. The analyses also describe differences in the cumulative probability of quitting over the life course, and the role of initiation versus quitting in producing educational gaps in smoking. The results show that educational gaps in never smoking explain the bulk of the educational inequality in adult smoking. Differences in former smoking play a small and decreasing role in producing these gaps. This is true across the life course, whether measured at age 25 or age 50, and for both men and women. While the prevalence and age patterns of former smoking by education converge across birth cohorts, differences in never smoking by education increase dramatically. At the population level, educational gaps in adult smoking are produced by the combination of inequalities in initiation and quitting, with differences in initiation playing a larger role in producing the observed gaps. The portion of the gap explained by differences in quitting is itself a function of educational differences in initiation. Thus, educational gradients in adult smoking are tethered to experiences in adolescence. These findings have important implications for both understanding and addressing disparities in this important health behavior.

The role of time and risk preferences in smoking inequalities: A population-based study

Heterogeneity in time and risk preferences has been proposed as one of the mechanisms involved in the educational gradient in smoking, but this mechanism has scarcely been explored empirically. Subjective scales were introduced in the 2008 French National Health, Health Care and Insurance Survey in order to elicit measures of time and risk preferences for a representative sample of 5188 men and 5684 women. Men and women were treated separately. First, logistic regressions were used to test the associations between preferences and education and between preferences and smoking. Second, nested logistic models were built to investigate the mediating role of preferences in the educational gradient in smoking, with an econometric treatment of the rescaling problem. Preference for the present and risk loving were found to be: inversely related to educational level; strongly related to each other, and; strongly associated to current smoking, even after adjustment for educational level. There was a weakening of the educational gradient after the control for preferences, which supports the role of these two preferences as partial mediators in the educational gradient in smoking. Among men, time preference was more strongly associated with smoking than risk aversion, while the reverse was found for women. We provide convincing evidence in favour of the mediating role of time preference and risk aversion in educational inequalities in smoking and highlight the connection between those two dimensions. Gender patterns are discussed and potential implications in terms of designing targeted anti-tobacco programmes are delineated.

Trends in absolute and relative educational inequalities in four modifiable ischaemic heart disease risk factors: repeated cross-sectional surveys from the Nord-Trøndelag Health Study (HUNT) 1984–2008

BackgroundThere has been an overall decrease in incident ischaemic heart disease (IHD), but the reduction in IHD risk factors has been greater among those with higher social position. Increased social inequalities in IHD mortality in Scandinavian countries is often referred to as the Scandinavian “public health puzzle”. The objective of this study was to examine trends in absolute and relative educational inequalities in four modifiable ischaemic heart disease risk factors (smoking, diabetes, hypertension and high total cholesterol) over the last three decades among Norwegian middle-aged women and men.MethodsPopulation-based, cross-sectional data from The Nord-Trøndelag Health Study (HUNT): HUNT 1 (1984–1986), HUNT 2 (1995–1997) and HUNT 3 (2006–2008), women and men 40–59 years old. Educational inequalities were assessed using the Slope Index of Inequality (SII) and The Relative Index of Inequality (RII).ResultsSmoking prevalence increased for all education groups among women and decreased in men. Relative and absolute educational inequalities in smoking widened in both genders, with significantly higher absolute inequalities among women than men in the two last surveys. Diabetes prevalence increased in all groups. Relative inequalities in diabetes were stable, while absolute inequalities increased both among women (p = 0.05) and among men (p = 0.01). Hypertension prevalence decreased in all groups. Relative inequalities in hypertension widened over time in both genders. However, absolute inequalities in hypertension decreased among women (p = 0.05) and were stable among men (p = 0.33). For high total cholesterol relative and absolute inequalities remained stable in both genders.ConclusionWidening absolute educational inequalities in smoking and diabetes over the last three decades gives rise to concern. The mechanisms behind these results are less clear, and future studies are needed to assess if educational inequalities in secondary prevention of IHD are larger compared to educational inequalities in primary prevention of IHD. Continued monitoring of IHD risk factors at the population level is therefore warranted. The results emphasise the need for public health efforts to prevent future burdens of life-style-related diseases and to avoid further widening in socioeconomic inequalities in IHD mortality in Norway, especially among women.

Trends in educational inequalities in smoking and physical activity in Canada: 1974–2005

Background:In Canada levels of smoking have decreased and levels of physical activity have increased over the last 20 years. However, little research has examined if educational inequalities in either of...