Relative Educational Inequalities Research Articles

Changes in educational inequalities in knee and hip osteoarthritis surgery and non-surgery specialist care visits over time in Sweden

ObjectiveTo examine changes in prevalence and socioeconomic inequalities in knee and hip OA outcomes, in more specific surgery and non-surgery specialist care visits, from 2001 to 2011 in Sweden and to what extent sociodemographic factors can explain the changes. DesignWe included all individuals aged ≥35 years resident in Sweden from 2001 to 2011. Individual-level data was retrieved from the Swedish Interdisciplinary Panel. Highest educational attainment was used as socioeconomic measure and the concentration index was used to assess relative and absolute educational inequalities. We used decomposition method to examine changes in prevalence and relative educational inequalities. ResultsA total of 4,794,693 and 5,359,186 people were included for the years 2001 and 2011, respectively. The crude prevalence of surgery and specialist visits for knee and hip OA was 36–83% higher in 2011 than in 2001. The increase in hip OA outcomes was largely explained by changes in the sociodemographic composition of the population, whereas for knee OA outcomes, changes in the strength of the associations with sociodemographic factors appeared more important. All outcomes were concentrated among people with lower education in all study years. The relative inequalities declined over the study period, while the absolute inequalities increased for knee OA outcomes and remained stable for hip OA. ConclusionOur findings show an increasing burden of all studied OA outcomes. Moreover, our findings suggest persistent educational inequalities with more surgeries and specialist visits among lower-educated individuals. Future research should incorporate additional variables to better understand and address these inequalities.

Enabling the examination of long-term mortality trends by educational level for England and Wales in a time-consistent and internationally comparable manner

BackgroundStudying long-term trends in educational inequalities in health is important for monitoring and policy evaluation. Data issues regarding the allocation of people to educational groups hamper the study and international comparison of educational inequalities in mortality. For the UK, this has been acknowledged, but no satisfactory solution has been proposed.ObjectiveTo enable the examination of long-term mortality trends by educational level for England and Wales (E&W) in a time-consistent and internationally comparable manner, we propose and implement an approach to deal with the data issues regarding mortality data by educational level.MethodsWe employed 10-year follow-ups of individuals aged 20+ from the Office for National Statistics Longitudinal Study (ONS-LS), which include education information from each decennial census (1971–2011) linked to individual death records, for a 1% representative sample of the E&W population. We assigned the individual cohort data to single ages and calendar years, and subsequently obtained aggregate all-cause mortality data by education, sex, age (30+), and year (1972–2017). Our data adjustment approach optimised the available education information at the individual level, and adjusts—at the aggregate level—for trend discontinuities related to the identified data issues, and for differences with country-level mortality data for the total population.ResultsThe approach resulted in (1) a time-consistent and internationally comparable categorisation of educational attainment into the low, middle, and high educated; (2) the adjustment of identified data-quality related discontinuities in the trends over time in the share of personyears and deaths by educational level, and in the crude and the age-standardised death rate by and across educational levels; (3) complete mortality data by education for ONS-LS members aged 30+ in 1972–2017 which aligns with country-level mortality data for the total population; and (4) the estimation of inequality measures using established methods. For those aged 30+ , both absolute and relative educational inequalities in mortality first increased and subsequently decreased.ConclusionWe obtained additional insights into long-term trends in educational inequalities in mortality in E&W, and illustrated the potential effects of different data issues. We recommend the use of (part of) the proposed approach in other contexts.

Are relative educational inequalities in multiple health behaviors widening? A longitudinal study of middle-aged adults in Northern Norway.

Educational inequality in multiple health behaviors is rarely monitored using data from the same individuals as they age. The aim of this study is to research changes in relative educational inequality in multiple variables related to health behavior (smoking, physical activity, alcohol intake, and body mass index), separately and collectively (healthy lifestyle), among middle-aged adults living in Northern Norway. Data from adult respondents aged 32-87 in 2008 with repeated measurements in 2016 (N = 8,906) were drawn from the sixth and seventh waves of the Tromsø Study. Logistic regression was used to assess the relative educational inequality in the variables related to health behavior. The analyses were performed for the total sample and separately for women and men at both baseline and follow-up. Educational inequality was observed in all the variables related to health behavior at baseline and follow-up, in both men and women. Higher levels of educational attainment were associated with healthier categories (non-daily smoking, physical activity, normal body mass index, and a healthy lifestyle), but also with high alcohol intake. The prevalence of daily smoking and physical inactivity decreased during the surveyed period, while high alcohol intake, having a body mass index outside of the normal range and adhering to multiple health recommendations simultaneously increased. The magnitude of relative educational inequality measured at baseline increased at the follow-up in all the variables related to health behavior. Differences were larger among women when compared to men, except in physical inactivity. Persistent and increasing relative disparities in health behavior between the highest education level and lower education levels are found in countries with well-established and comprehensive welfare systems like Norway. Addressing these inequalities is essential for reducing both the chronic disease burden and educational disparities in health.

Socioeconomic inequalities in cancer mortality between and within countries in Europe: a population-based study.

Reducing socioeconomic inequalities in cancer is a priority for the public health agenda. A systematic assessment and benchmarking of socioeconomic inequalities in cancer across many countries and over time in Europe is not yet available. Census-linked, whole-of-population cancer-specific mortality data by socioeconomic position, as measured by education level, and sex were collected, harmonized, analysed, and compared across 18 countries during 1990-2015, in adults aged 40-79. We computed absolute and relative educational inequalities; temporal trends using estimated-annual-percentage-changes; the share of cancer mortality linked to educational inequalities. Everywhere in Europe, lower-educated individuals have higher mortality rates for nearly all cancer-types relative to their more highly-educated counterparts, particularly for tobacco/infection-related cancers [relative risk of lung cancer mortality for lower- versus higher-educated=2.4 (95% confidence intervals: 2.1-2.8) among men;=1.8 (95% confidence intervals: 1.5-2.1) among women]. However, the magnitude of inequalities varies greatly by country and over time, predominantly due to differences in cancer mortality among lower-educated groups, as for many cancer-types higher-educated have more similar (and lower) rates, irrespective of the country. Inequalities were generally greater in Baltic/Central/East-Europe and smaller in South-Europe, although among women large and rising inequalities were found in North-Europe (relative risk of all cancer mortality for lower- versus higher-educated ≥1.4 in Denmark, Norway, Sweden, Finland and the England/Wales). Among men, rate differences (per 100,000 person-years) in total-cancer mortality for lower-vs-higher-educated groups ranged from 110 (Sweden) to 559 (Czech Republic); among women from approximately null (Slovenia, Italy, Spain) to 176 (Denmark). Lung cancer was the largest contributor to inequalities in total-cancer mortality (between-country range: men, 29-61%; women, 10-56%). 32% of cancer deaths in men and 16% in women (but up to 46% and 24%, respectively in Baltic/Central/East-Europe) were associated with educational inequalities. Cancer mortality in Europe is largely driven by levels and trends of cancer mortality rates in lower-education groups. Even Nordic-countries, with a long-established tradition of equitable welfare and social justice policies, witness increases in cancer inequalities among women. These results call for a systematic measurement, monitoring and action upon the remarkable socioeconomic inequalities in cancer existing in Europe. This study was done as part of the LIFEPATH project, which has received financial support from the European Commission (Horizon 2020 grant number 633666), and the DEMETRIQ project, which received support from the European Commission (grant numbers FP7-CP-FP and 278511). SV and WN were supported by the French Institut National du Cancer (INCa) (Grant number 2018-116). PM was supported by the Academy of Finland (#308247, # 345219) and the European Research Council under the European Union's Horizon 2020 research and innovation programme (grant agreement No 101019329). The work by Mall Leinsalu was supported by the Estonian Research Council (grant PRG722).

Educational inequalities in self-rated health and emotional exhaustion among workers during the COVID-19 pandemic: a longitudinal study

ObjectiveThis study aimed to investigate trends in educational inequalities in poor health and emotional exhaustion during the pandemic among workers, and differences in trends between men and women.MethodsFive waves (2019–2021) from the longitudinal study ‘the Netherlands Working Conditions Survey COVID-19 study’ were used (response rates: 32–38%). Generalized logistic mixed models were used to estimate the changes in absolute and relative educational inequalities in poor health and emotional exhaustion for all workers (n = 12,479) and for men and women, separately.ResultsLow and intermediate educated workers reported more often poor health (OR 2.54; 95% CI 1.71–3.77 and OR 2.09; 95% CI 1.68–2.61, respectively) than high educated workers. Intermediate educated women (OR 0.49; 95% CI 0.37–0.64) reported less emotional exhaustion than high educated women, but no differences were observed among men. The prevalence of poor health first decreased across all educational levels until March 2021, and bounced back in November 2021. A similar pattern was found for emotional exhaustion, but for low and intermediate educated workers only. Relative educational inequalities in poor health reduced among men during the pandemic, and absolute differences decreased among men and women by 2.4–2.6%. Relative educational inequalities in emotional exhaustion widened among men only. Absolute differences in emotional exhaustion first increased among both men and women, but narrowed between the last two waves.DiscussionSocioeconomic inequalities for poor self-rated health remained but narrowed in relative and absolute terms during the pandemic. With regard to emotional exhaustion, socioeconomic inequalities returned to pre-COVID-19 levels at the end of 2021.

Educational inequalities in employment of Finns aged 60-68 in 2006-2018.

The aim of this study was to explore the employment of 60–68-year-old men and women by educational level over the period 2006–2018 and the magnitude of educational inequalities in employment. We used individual-level register data from Statistics Finland including all Finns aged 60–68 over a period of 13 years. In addition to calculating employment rates for men and women by educational levels, we estimated the relative index of inequality (RII) and slope index of inequality (SII) to measure the magnitude of relative and absolute educational inequalities in employment. The results show that the employment rates increased in all educational levels over the period 2006–2018. Relative educational inequalities in employment remained stable mainly among the 63–65-year-olds but decreased among the 60–62-year-olds and the 66–68-year-olds. However, absolute educational inequalities in employment increased in all age groups for both men and women.

Educational differences in alcohol-related mortality and their impact on life expectancy and lifespan variation in Spain (2016–2018): a cross-sectional analysis using multiple causes of death

BackgroundSocioeconomic inequalities in alcohol-related mortality in Spain exists, and are postulated to contribute to inequalities in all-cause mortality. We aim to assess absolute and relative educational inequalities in alcohol-related mortality,...

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.

Trends in absolute and relative educational inequalities in health during times of labour market restructuring in coastal areas: The HUNT Study, Norway

BackgroundRestructuring labour markets offers natural population-level experiments of great social epidemiological interest. Many coastal areas have endured substantial restructuring of their local labour markets following declines in small-scale fishing and transitions to new employment opportunities. It is unknown how educational inequalities in health have developed in formerly fishery-dependent communities during such restructuring. In this study, we compare trends in social inequalities in health in Norwegian coastal areas with adjacent geographical areas between 1984 and 2019. MethodsWe used cross-sectional population-based data from the Trøndelag Health Study (HUNT), collected four times: HUNT1 (1984–86), HUNT2 (1995–97), HUNT3 (2006–08) and HUNT4 (2017–19). Adults above 30 years of age were included. Using Poisson regression, we calculated absolute and relative educational inequalities in self-rated health, using slope (SII) and relative (RII) indices of inequality. ResultsTrends in absolute and relative inequalities in rural coastal health were generally more favourable than in adjacent geographical areas. We found a statistically significant trend of declining relative educational inequalities in self-rated health in the rural coastal population from HUNT1 to HUNT4. Absolute inequalities overall increased from HUNT1 to HUNT4, although a declining trend followed HUNT2. Nonetheless, the rural coastal population exhibited the highest prevalence of poor self-rated health across the four decades. ConclusionsAlthough absolute educational inequalities in self-rated health widened in all geographical areas, the smallest increase was in rural coastal areas. Relative educational inequalities narrowed in this rural coastal population. Considering the concurrent processes of large-scale investments in the Norwegian public sector and welfare schemes, increased fishing fleet safety, and employment opportunities in aquaculture, our findings do not suggest that potential positive effects on public health of this restructuring have benefitted inhabitants with higher educational attainment more than inhabitants with lower educational attainment in this rural coastal population.

Educational differences in alcohol-related mortality in Spain using multiple causes of death

Abstract Background Socioeconomic inequalities in alcohol-attributable mortality are commonly studied using only underlying causes of death (UCOD). We aim to assess absolute and relative educational inequalities in alcohol-related mortality, and to estimate the role of alcohol in educational inequalities in both life expectancy and lifespan variation in Spain. Methods We used multiple cause-of-death (MCOD) mortality data for individuals aged 30 and over for Spain (2016-18) by educational attainment. We estimated by sex and educational attainment age-standardized alcohol-attributable mortality rates, relative and absolute indices of educational inequalities; and total life expectancy and lifespan inequality at age 30 for all-cause mortality and after eliminating alcohol-attributable mortality. Results The use of MCOD resulted in an additional 2,543 annual alcohol-related deaths (+75% among men, and +50% among women) compared to estimates derived from UCOD. In absolute terms, the most unequal age groups were those aged 45-84 among men and 45-65 among women. In relative terms, higher inequalities exist in working ages, whereas at older ages inequalities tended to be lower, although still important among men. Alcohol contributed to educational inequalities in life expectancy (men: 0.13 years (3.2%); women 0.02 years (0.7%)) and lifespan inequalities (2.1% and 1.4% for men and women, respectively). Conclusions Alcohol-related estimates derived from MCOD are more accurate compared to estimates derived from UCOD approaches, although these estimates are still underestimating the impact of alcohol on mortality in Spain. Alcohol remains an important lifestyle to be tackled in order to reduce mortality inequalities. Key messages Alcohol-related mortality estimates using multiple causes of death (MCOD) increased the death counts related to alcohol by 75% among men and 50% among women compared to underlying causes of death. This study confirms the role of alcohol on mortality in both mean indicators (life expectancy) and indicators of age-at-death dispersion (lifespan inequality).

Educational inequalities in obesity: a multilevel analysis of survey data from cities in Latin America.

ObjectiveUsing newly harmonised individual-level data on health and socioeconomic environments in Latin American cities (from the Salud Urbana en América Latina (SALURBAL) study), we assessed the association between obesity and education levels and explored potential effect modification of this association by city-level socio-economic development.DesignThis cross-sectional study used survey data collected between 2002 and 2017. Absolute and relative educational inequalities in obesity (BMI ≥ 30 kg/m2, derived from measured weight and height) were calculated first. Then, a two-level mixed-effects logistic regression was run to test for effect modification of the education–obesity association by city-level socio-economic development. All analyses were stratified by sex.SettingOne hundred seventy-six Latin American cities within eight countries (Brazil, Chile, Colombia, Costa Rica, El Salvador, Guatemala, Mexico and Peru).Participants53 186 adults aged >18 years old.ResultsAmong women, 25 % were living with obesity and obesity was negatively associated with educational level (higher education–lower obesity) and this pattern was consistent across city-level socio-economic development. Among men, 18 % were living with obesity and there was a positive association between education and obesity (higher education–higher obesity) for men living in cities with lower levels of development, whereas for those living in cities with higher levels of development, the pattern was inverted and university education was protective of obesity.ConclusionsAmong women, education was protective of obesity regardless, whereas among men, it was only protective in cities with higher levels of development. These divergent results suggest the need for sex- and city-specific interventions to reduce obesity prevalence and inequalities.

Smoking and inequalities in mortality in 11 European countries: a birth cohort analysis

PurposeTo study the trends of smoking-attributable mortality among the low and high educated in consecutive birth cohorts in 11 European countries.MethodsRegister-based mortality data were collected among adults aged 30 to 79 years in 11 European countries between 1971 and 2012. Smoking-attributable deaths were estimated indirectly from lung cancer mortality rates using the Preston-Glei-Wilmoth method. Rate ratios and rate differences among the low and high-educated were estimated and used to estimate the contribution of inequality in smoking-attributable mortality to inequality in total mortality.ResultsIn most countries, smoking-attributable mortality decreased in consecutive birth cohorts born between 1906 and 1961 among low- and high-educated men and high-educated women, but not among low-educated women among whom it increased. Relative educational inequalities in smoking-attributable mortality increased among both men and women with no signs of turning points. Absolute inequalities were stable among men but slightly increased among women. The contribution of inequality in smoking-attributable mortality to inequality in total mortality decreased in consecutive generations among men but increased among women.ConclusionsSmoking might become less important as a driver of inequalities in total mortality among men in the future. However, among women, smoking threatens to further widen inequalities in total mortality.

Macroeconomic changes and educational inequalities in traffic fatalities in the Baltic countries and Finland in 2000\u20132015: a register-based study

This study examined trends and inequalities in road traffic accident (RTA) mortality in the Baltic countries (Estonia, Latvia, Lithuania) and Finland in relation to large-scale macroeconomic changes in the 2000s. Educational inequalities in RTA mortality in 2000–2003, 2004–2007, 2008–2011 and 2012–2015 among 30–74 year olds were examined using census-linked longitudinal mortality data and by estimating the relative and slope index of inequality. Overall RTA mortality decreased substantially between 2000–2003 and 2012–2015. From 2004–2007 to 2008–2011, the RTA mortality decline accelerated but was larger in the Baltic countries. Among men the RTA mortality decline was mostly driven by a larger fall among the high and middle educated. Among women, the changes in RTA mortality by educational level had no clear pattern. From 2000–2003 to 2012–2015 relative educational inequalities in RTA mortality increased among men, although more in the Baltic countries. Among women the pattern was mixed across countries. Absolute inequalities fell in all countries among both sexes. Educational inequalities in male RTA mortality may be growing because of increasingly less access to safer cars and a more hazardous driving culture among the lower educated.

Economic fluctuations and urban-rural differences in educational inequalities in mortality in the Baltic countries and Finland in 2000\u20132015: a register-based study

We examined urban-rural differences in educational inequalities in mortality in the Baltic countries (Estonia, Latvia, Lithuania) and Finland in the context of macroeconomic changes. Educational inequalities among 30–74 year olds were examined in 2000–2003, 2004–2007, 2008–2011 and 2012–2015 using census-linked longitudinal mortality data. We estimated age-standardized mortality rates and the relative and slope index of inequality. Overall mortality rates were larger in rural areas except among Finnish women. Relative educational inequalities in mortality were often larger in urban areas among men but in rural areas among women. Absolute inequalities were mostly larger in rural areas excepting Finnish men. Between 2000–2003 and 2012–2015 relative inequalities increased in most countries while absolute inequalities decreased except in Lithuania. In the Baltic countries the changes in both relative and absolute inequalities tended to be more favorable in urban areas; in Finland they were more favorable in rural areas. The overall pattern changed during the reccessionary period from 2004–2007 to 2008–2011 when relative inequalities often diminished or the increase slowed, while the decrease in absolute inequalities accelerated with larger improvements observed in urban areas. Despite substantial progress in reducing overall mortality rates in both urban and rural areas in all countries, low educated men and women in rural areas in the Baltic countries are becoming increasingly disadvantaged in terms of mortality reduction.

Education-Related Inequalities in Dental Services Use among Older Adults in 23 Countries

This study aimed to measure the magnitude of education-related inequalities in the use of dental services among older adults (aged 50 y or older) from a sizable multicountry sample of 23 upper-middle- and high-income countries. This study used cross-sectional data from nationally representative surveys of people aged 50 y and over. Countries included in the Health and Retirement Study surveys were the following: Brazil, China, South Korea, Mexico, United States, Austria, Belgium, Croatia, Czech Republic, Denmark, Estonia, France, Germany, Greece, Italy, Israel, Luxembourg, Poland, Portugal, Slovenia, Spain, Sweden, and Switzerland. The dependent variable was the use of dental services, based on the self-report of having had a dental visit within the previous year, except for the United States and South Korea, which used 2-y recall periods. Educational level was used as the measure of socioeconomic position and was standardized across countries. Multivariate logistic regression modeling was used to evaluate the factors associated with the use of dental services, and the magnitude of education inequalities in the use of dental services was assessed using the slope index of inequality (SII) to measure absolute inequalities and the relative index of inequality for relative inequalities. The pooled prevalence of the use of dental services was 31.7% and ranged from 18.7% in China to 81.2% in Sweden. In the overall sample, the absolute difference in the prevalence of use between the lowest and highest educational groups was 20 percentage points. SII was significant for all countries except Portugal. Relative educational inequalities were significant for all countries and ranged from 3.2 in Poland to 1.2 in Sweden. There were significant education-related inequalities in the use of dental care by older adults in all countries. Monitoring these inequalities is critical to the planning and delivery of dental services.

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.

Monitoring inequalities in self-rated health over 36 years among Finnish women and men

Abstract Background Health inequalities across countries and populations are well established, but little is known about their long-term trends and even less about factors shaping the trends. We examined the magnitude of absolute and relative educational inequalities in self-rated health over 36 years among adult Finns, considering individual covariates and macro-economic fluctuations. Methods Data were derived from representative annual surveys in 1979-2014 among men and women and covered ages 25-64. Nine periods were used (n = 8870-14235). Our health outcome was less-than-good self-rated health and our socioeconomic indicator was completed years of education as a continuous variable. Nine time-variant sociodemographic and health-related covariates were included. Educational inequalities in self-rated health were examined by relative index of inequality (RII) and slope index of inequality (SII). Results Linear trends suggested stable overall development in both relative and absolute health equalities during 36 years. Period specific analyses showed that among men relative and absolute inequalities narrowed immediately after economic recession in Finland in 1993-94, and among women, inequalities narrowed during global financial crisis in 2008-09. Adjusting for covariates reduced the magnitude of inequalities throughout the nine periods, but affected little the period specific patterning of health inequalities. Conclusions Educational inequalities in self-rated health persisted during 36 years in Finland. While among men and women health inequalities narrowed during and after recessions, they widened soon back to the pre-recession level. The perseverance calls for powerful measures to tackle health inequalities, such as preventing unhealthy behaviours, obesity and unemployment in particular among the lower educated. Key messages Health inequalities have persisted in Finland over 36 years, with unhealthy behaviors and unemployment affecting their magnitude. Health inequalities narrowed during economic recessions, but widened soon back to pre-recession level.

Educational inequalities in all-cause and cause-specific mortality among people with gout: a register-based matched cohort study in southern Sweden

BackgroundGout is the most common inflammatory arthritis with a rising prevalence around the globe. While educational inequalities in incidence and prevalence of gout have been reported, no previous study investigated educational inequality in mortality among people with gout. The aim of this study was to assess absolute and relative educational inequalities in all-cause and cause-specific mortality among people with gout in comparison with an age- and sex-matched cohort free of gout in southern Sweden.MethodsWe identified all residents aged ≥30 years of Skåne region with doctor-diagnosed gout (ICD-10 code M10, n = 24,877) during 1998–2013 and up to 4 randomly selected age- and sex-matched comparators free of gout (reference cohort, n = 99,504). These were followed until death, emigration, or end of 2014. We used additive hazards models and Cox regression adjusted for age, sex, marital status, and country of birth to estimate slope and relative indices of inequality (SII/RII). Three cause-of-death attribution approaches were considered for RII estimation: “underlying cause”, “any mention”, and “weighted multiple-cause”.ResultsGout patients with the lowest education had 1547 (95% CI: 1001, 2092) more deaths per 100,000 person-years compared with those with the highest education. These absolute inequalities were larger than in the reference population (1255, 95% CI: 1038, 1472). While the contribution of cardiovascular (cancer) mortality to these absolute inequalities was greater (smaller) in men with gout than those without, the opposite was seen among women. Relative inequality in all-cause mortality was smaller in gout (RII 1.29 [1.18, 1.41]) than in the reference population (1.46 [1.38, 1.53]). The weighted multiple-cause approach generally led to larger RIIs than the underlying cause approach.ConclusionsOur register-based matched cohort study showed that low level of education was associated with increased mortality among gout patients. Although the magnitude of relative inequality was smaller in people with gout compared with those without, the absolute inequalities were greater reflecting a major mortality burden among those with lower education.

36-year trends in educational inequalities in self-rated health among Finnish adults.

Health inequalities exist across countries and populations, but little is known about their long-term trends and even less about factors shaping the trends. We examined the magnitude of absolute and relative educational inequalities in self-rated health over 36 years among Finnish adults, considering individual covariates and macro-economic fluctuations. Our data were derived from representative annual cross-sectional surveys in 1979–2014 conducted among adult men and women. Participants aged 25–64 were included and nine periods used (n = 8870–14235). Our health outcome was less-than-good self-rated health (SRH) and our socioeconomic indicator was completed years of education as a continuous variable. Educational inequalities in self-rated health were analysed using the relative index of inequality (RII) and the slope index of inequality (SII). Nine time-variant sociodemographic and health-related covariates were included in the analyses. Linear trends suggested stable or slightly curvilinear overall trends in both absolute and relative health equalities over 36 years. Among men, absolute and relative inequalities narrowed immediately after economic recession in Finland in 1993–1994. Among women, inequalities narrowed during financial crisis in 2008–2009. Adjusting for most covariates reduced the magnitude of inequalities throughout the nine periods, but affected little the temporal patterning of health inequalities. Educational inequalities in self-rated health remained during 36 years in Finland. While among men and women health inequalities narrowed during and after recessions, they widened soon back to the pre-recession level. The perseverance of the trends calls for novel and powerful measures to tackle health inequalities.

Socioeconomic inequalities in suicide by herbicide poisoning before and after the implementation of the Paraquat ban in South Korea

TPS 642: Environmental justice and impacts, Exhibition Hall, Ground floor, August 26, 2019, 3:00 PM - 4:30 PM Background: Paraquat is a lethal herbicide. This study explored whether the effect of the Paraquat regulation on suicide deaths varied by the level of educational attainment. Methods: Death certificate data between 2008 and 2015 and population denominators from census data for the years 2005, 2010, and 2015 were obtained from Statistics Korea. Age-standardized mortality rates in suicide by herbicide poisoning (ICD-10: X60-X84 & T603) for men and women according to education (no formal education or primary, secondary, and tertiary), absolute (rate difference) and relative (rate ratio) educational inequalities before (2008-2010) and after (2013-2015) the implementation of the Paraquat ban were examined. Results: During post-regulatory periods (2013-2015), age-standardized mortality rates in suicide by herbicide poisoning decreased for all education groups in both men and women compared with pre-regulatory periods (2008-2010). However, the decrease rate of suicide by herbicide poisoning was the lowest in the people with no formal education or primary education. The absolute inequality between the highest and the lowest education groups decreased after the implementation of the Paraquat ban in both men and women, while relative inequalities remained stable in both men and women. Conclusions: Not all intervention policies are intended to reduce health inequality. Some interventions improve the average health level of the population, but also exacerbate inequality. The Paraquat regulation reduced the magnitude of absolute inequalities in suicide by herbicide poisoning. More research needs to be done in the future to examine changes of socioeconomic inequalities in suicide death by other methods after the Paraquat regulation, or to explore whether the use of suicide methods to replace Paraquat vary by socioeconomic status.