Trends In Educational Inequalities Research Articles

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.

Trends in educational inequalities in Ireland’s primary schools: an analysis based on TIMSS data (2011–2019)

BackgroundSocioeconomic characteristics are persistently and systematically related to academic outcomes, despite long-standing efforts to reduce educational inequality. Ireland has a strong policy focus on alleviating educational disadvantage and has seen significant improvements in mathematics and science performance in recent years. This study investigates patterns of socioeconomic inequalities in 4th grade students’ performance in mathematics and science between 2011 and 2019. Two measures of inequality are examined: (i) inequality of achievement, i.e., the degree of variability in student performance and (ii) inequality of opportunity, i.e., the extent to which student performance is related to background characteristics.MethodsData for 4th-grade students in Ireland from TIMSS 2011, TIMSS 2015 and TIMSS 2019 were used. Mathematics and science achievement were the main outcome measures. The home resources for learning index was used as a proxy for student-level socioeconomic status. School-level socioeconomic status was examined according to schools’ participation in the Delivering Equality of Opportunity in Schools (DEIS) programme, which is the Department of Education’s main policy initiative addressing educational disadvantage. Descriptive and multilevel regression analyses were conducted to explore variability in student performance and to investigate the variance in achievement explained by socioeconomic factors, across cycles and subjects.ResultsBetween 2011 and 2015, between-student and between-school differences in mathematics and science performance became smaller, as shown by the decrease in standard deviations and the intraclass correlation coefficients (ICCs). This points to reduced inequality of achievement. Between 2015 and 2019, a small increase in inequality of achievement was observed.Regarding inequality of opportunity, students’ home resources for learning and school disadvantaged status were statistically significantly related to mathematics and science achievement across all three cycles. Overall variance explained by these two variables increased from 2011 to 2019. This points towards increasing inequality of opportunity over the period examined.Performance gaps between disadvantaged and non-disadvantaged schools have been reduced over time; however, the relationship between home resources for learning and achievement appears to have strengthened. Findings were consistent for both subjects.ConclusionsThe findings indicate that improvements in overall performance do not necessarily reflect improved equality. Ireland’s improvements in average mathematics and science performance between 2011 and 2015 were accompanied by reduced inequality of achievement. Performance differences between disadvantaged and non-disadvantaged schools have been reduced over time, suggesting that the DEIS policy is meeting its goal of narrowing achievement gaps based on concentrations of educational disadvantage. However, inequality of opportunity linked to student-level socioeconomic factors (i.e., home resources for learning) appears to have increased over time. These findings are valuable in the context of measuring and tracking educational inequalities.

Trends in social inequality in mortality in Denmark 1995–2019: the contribution of smoking- and alcohol-related deaths

BackgroundDuring the past decades, social inequality in mortality has increased in several countries, including Denmark. Modifiable risk factors, such as smoking and harmful alcohol consumption, have been suggested to moderate...

Reversals in past long-term trends in educational inequalities in life expectancy for selected European countries

BackgroundAcross Europe, socioeconomic inequalities in mortality are large and persistent. To better understand the drivers of past trends in socioeconomic mortality inequalities, we identified phases and potential reversals in long-term...

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.

Life stage-specific trends in educational inequalities in health-related quality of life and self-rated health between 2002 and 2016 in Germany: findings from the German Socio-Economic Panel Study (GSOEP)

ObjectivesWhile evidence suggests persisting health inequalities, research on whether these trends may vary according to different stages of life has rarely been considered. Against this backdrop, we analysed life stage-specific...

Racial inequality in the Brazilian labor market and the role of education

Do differences in wages between white and black workers arise because of discrimination or because of differences in productivity? This report tries to answer this questions by analyzing recent patterns in racial inequality in the Brazilian labor market and education. In addition to that, we also discuss some of the most important works on racial inequality. We show that racial differences in earnings are large and persistent, even when we consider workers with higher education or in the same occupational group. Using data from Brazil, we show that a considerable part of racial gaps in wages are due to differences in education related to years of schooling, quality of education, and majors attended in college. We also present data on recent trends in educational inequality. Access to higher education has improved fast in Brazil in the last decades, especially among black youth. However, there are still large differences in access between black and white children. Black students in higher education attend less prestigious courses than their white counterparts. Moreover, the performance of black teens in exams by the end of high school is worse than that of white students, and recent trends suggest that these differences in performance are widening.

Sources of change in the primary and secondary effects of social class origin on educational decisions: evidence from Denmark, 2002–2016

Although research on the primary and secondary effects of social origin aims at understanding the relative importance of performance and choice in educational decision making processes, it tends to downplay that primary effects are a function of two separate components: (a) the level of social inequality in academic performance and (b) the effect of academic performance on educational decisions. Examining trends in educational inequalities in Denmark from 2002 through 2016, I demonstrate that separately considering these two components leads to new interpretations of why social class inequalities in educational decisions change over time. I find that although both primary and secondary effects of social origin are declining in Denmark over the period, the decline in primary effects occurs in spite of increasing social class gaps in academic performance. In contrast, the decline results from decreasing educational returns to academic performance. My findings suggest that conventional comparisons of primary and secondary effects of social origin across contexts such as countries or time periods may mask the pathways through which social class differentials in educational decisions arise.

Trends in educational inequalities in premature mortality between 2001 and 2016: results from the Emilian Longitudinal Study

to describe changes in relative and absolute inequalities in mortality by education level between 2001 and 2016 in the Emilian longitudinal study (SLEm) and to estimate the impact of these inequalities at population level. closed cohort study based on record-linkage between municipal population registries, Census archives of 2001 and 2011, and the mortality register. 2001- and 2011-Census respondents >=30 years old residing in Bologna, Modena, or Reggio Emilia followed up to the age of 75 years, death, emigration, or end of follow-up (December 2006 or December 2016). premature mortality for all causes and for 16 groups of causes known to be associated with socioeconomic position. In order to capture various aspects of the inequalities, the association with the education level is assessed through summary regression-based indexes (Relative and Slope Index of Inequality) and the Attributable Population Fraction. premature mortality declined across all educational level between 2001-2006 and 2011-2016; declines were greater among men than women. Among men, relative inequalities in mortality slightly increased (RII from 1.86 in 2001 to 2.13 in 2011), while absolute inequalities declined (SII from 382.3 to 360.6). Among women, both relative and absolute inequalities increased (RII from 1.23 to 1.65, SII from 73.7 to 137.4). Educational inequalities in lung cancer, respiratory and cerebrovascular diseases mortality decreased among men and increased among women. The proportion of the low educated shrank over time (men: from 40% to 36%; women: from 43% to 35%); nonetheless, the fraction of the deaths attributable to educational inequalities showed an upward tendency (from 18.5% to 21.9% in men and from 9.7% to 15.6% in women); the groups of causes that contribute most to this increase were malignant cancers, especially lung cancer, diseases of the circulatory and respiratory systems, and accidents. relative inequalities slightly increased in both genders, while absolute inequalities only in women. A reduction in the population impact could be achieved by tackling educational inequalities in mortality due to lung cancer, diseases of the circulatory and respiratory systems, and accidents.

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.

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.

The impact of regional screening policies on the diffusion of cancer screening participation in Belgium: time trends in educational inequalities in Flanders and Wallonia

BackgroundWe investigate whether the extent of educational inequalities in the use of Pap smears (cervical cancer screening) and mammograms (breast cancer screening) in Belgium has changed over time in accordance with the pattern predicted by diffusion of innovation theory, as well as how the regional cancer screening policies of Flanders and Wallonia influence this pattern.MethodsData were obtained from five successive cross-sectional waves (1997–2001–2004-2008-2013) of the Belgian Health Interview Survey. Final sample sizes consisted of 8988 women aged 25–64 years for cervical cancer screening and 4194 women aged 50–69 years for breast cancer screening. We calculated absolute and relative measures of inequality, more specifically, the slope index of inequality (SII) and the relative index of inequality (RII), and their development over time.ResultsIn both Flanders and Wallonia, mammogram use increased greatly between 1997 and 2013, while Pap smear use has remained quite stable over time. Educational inequalities in cervical-cancer screening have been largely persistent over time in both regions. In contrast, educational inequalities in breast cancer screening fluctuated more between 1997 and 2013. Between 1997 and 2001, when the breast cancer screening programme was implemented in Flanders, RII reduced significantly by 45%. Inequality measures did not change significantly in Wallonia, where it is known that most women are screened opportunistically outside the programme.ConclusionsBy focussing on Belgium, this study demonstrates that regional variations in the support of a national screening programme can result in regional variations in the pattern of diffusion for cancer screening, as well as to the development of inequalities in cancer screening participation. Moreover, the findings demonstrate that high visibility and awareness of the screening programme, as was more the case in Flanders than it was in Wallonia, are required in order to reduce or eliminate educational inequalities in cancer screening participation over time. General practitioners and gynaecologists can play a decisive role in this regard.

Educational inequalities in subjective health in Germany from 1994 to 2014: a trend analysis using the German Socio-Economic Panel study (GSOEP)

IntroductionAs trend studies have shown, health inequalities by income and occupation have widened or remained stable. However, research on time trends in educational inequalities in health in Germany is scarce....

Growing Wealth Gaps in Education

Prior research on trends in educational inequality has focused chiefly on changing gaps in educational attainment by family income or parental occupation. In contrast, this contribution provides the first assessment of trends in educational attainment by family wealth and suggests that we should be at least as concerned about growing wealth gaps in education. Despite overall growth in educational attainment and some signs of decreasing wealth gaps in high school attainment and college access, I find a large and rapidly increasing wealth gap in college attainment between cohorts born in the 1970s and 1980s, respectively. This growing wealth gap in higher educational attainment co-occurred with a rise in inequality in children's wealth backgrounds, although the analyses also suggest that the latter does not fully account for the former. Nevertheless, the results reported here raise concerns about the distribution of educational opportunity among today's children who grow up in a context of particularly extreme wealth inequality.

Welfare states, the Great Recession and health: Trends in educational inequalities in self-reported health in 26 European countries.

BackgroundAlthough socioeconomic inequalities in health have long been observed in Europe, few studies have analysed their recent patterning. In this paper, we examined how educational inequalities in self-reported health have evolved in different European countries and welfare state regimes over the last decade, which was troubled by the Great Recession.MethodsWe used cross-sectional data from the EU-SILC survey for adults from 26 European countries, from 2005 to 2014 (n = 3,030,595). We first calculated education-related absolute (SII) and relative (RII) inequalities in poor self-reported health by country-year, adjusting for age, sex, and EU-SILC survey weights. We then regressed the year- and country-specific RII and SII on a yearly time trend, globally and by welfare regime, adjusting for country fixed effects. We further adjusted the analysis for the economic cycle using GDP growth, unemployment, and income inequality.ResultsOverall, absolute inequalities persisted and relative inequalities slightly widened (betaRII = 0.0313, p<0.05). There were substantial differences by welfare regime: Anglo-Saxon countries experienced the largest increase in absolute inequalities (betaSII = 0.0032, p<0.05), followed by Bismarkian countries (betaSII = 0.0024, p<0.001), while they reduced in Post-Communist countries (betaSII = -0.0022, p<0.001). Post-Communist countries also experienced a widening in relative inequalities (betaRII = 0.1112, p<0.001), which were found to be stable elsewhere. Adjustment for income inequality only explained such trend in Anglo-Saxon countries.ConclusionsEducational inequalities in health have overall persisted across European countries over the last decade. However, there is considerable variation across welfare regimes, possibly related to underpinning social safety nets and to austerity measures implemented during this 10-year period.

Temporal trends in educational inequalities in non-communicable diseases in Korea, 2007-2015.

BackgroundSocioeconomic inequalities in non-communicable diseases are known to exist; however there is a paucity of research describing the secular trends in these inequalities. To this end, the current study aims to explore the recent time trends in social patterning of selected non-communicable diseases among Korean adults between 2007 and 2015.MethodsUsing data from the Korea National Health and Nutrition Examination Survey (KNHANES), temporal trends in socioeconomic inequalities in diabetes, arthritis, asthma and depressive symptoms were assessed across three time points. Respondents were adults aged 20 years or over (N = 47,091, 20,180 men and 26,911 women). Socioeconomic circumstance was assessed based on highest level of educational attainment. We estimated prevalence ratios with 95% confidence intervals using Poisson regression with robust variance estimation (adjusted for age, smoking status, alcohol consumption, obesity, and physical activity) separately for men and women. The magnitude of the inequalities was computed using the relative index of inequality (RII).ResultsIn men, diabetes was not associated with educational attainment, while there was evidence of a negative association in women across surveys. Similar inverse associations were found with arthritis and depressive symptoms, but these associations were less clear for asthma. RII showed a non-significant increasing trend in educational disparities in depressive symptoms. Meanwhile, relative inequalities in diabetes, arthritis and asthma have narrowed. These trends were, in general, more pronounced in women.ConclusionsThe findings of this study indicate higher burden of selected NCDs among the lower educational groups, particularly among women. In addition, our results indicated some improvements in inequalities in diabetes, arthritis and asthma in recent years. These findings have important implications for understanding the causes of social patterning of NCDs and for the targeting of effective interventions.

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

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

BackgroundThe prevalence of obesity increased dramatically in many European countries in the past decades. Whether the increase occurred to the same extent in all socioeconomic groups is less known. We systematically assessed and compared the trends in educational inequalities in obesity in 15 different European countries between 1990 and 2010.MethodsNationally representative survey data from 15 European countries were harmonized and used in a meta-regression of trends in prevalence and educational inequalities in obesity between 1990 and 2010. Educational inequalities were estimated by means of absolute rate differences and relative rate ratios in men and women aged 30–64 years.ResultsA statistically significant increase in the prevalence of obesity was found for all countries, except for Ireland (among men) and for France, Hungary, Italy and Poland (among women). Meta-regressions showed a statistically significant overall increase in absolute inequalities of 0.11% points [95% CI 0.03, 0.20] per year among men and 0.12% points [95% CI 0.04, 0.20] per year among women. Relative inequalities did not significantly change over time in most countries. A significant reduction of relative inequalities was found among Austrian and Italian women.ConclusionThe increase in the overall prevalence aligned with a widening of absolute but not of relative inequalities in obesity in many European countries over the past two decades. Our findings urge for a further understanding of the drivers of the increase in obesity in lower education groups particularly, and an equity perspective in population-based obesity prevention strategies.

Trends in educational inequalities in premature mortality in Belgium between the 1990s and the 2000s: the contribution of specific causes of deaths

BackgroundReducing socioeconomic inequalities in mortality, a key public health objective may be supported by a careful monitoring and assessment of the contributions of specific causes of death to the global...

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

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