A decade of socioeconomic inequality in type 2 diabetes area-level prevalence: an unshakeable status quo?

Aims: It is well known that there is a socioeconomic gradient in the prevalence of many chronic diseases, including type 2 diabetes (T2DM). We present a simple assessment of the macro-level association between area socioeconomic disadvantage and the area-level prevalence of T2DM in Danish municipalities and the development in this relationship over the last decade. Methods: We used readily available public data on the socioeconomic composition of municipalities and T2DM prevalence to illustrate this association and report the absolute and relative summary measures of socioeconomic inequality over the time period 2008–2018. Results: The results show a persistent relationship between municipality socioeconomic disadvantage and T2DM prevalence across all analyses, with a modelled gap in T2DM prevalence between the most and least disadvantaged municipalities, the slope index of inequality, of 1.23 [0.97;1.49] in 2018. Conclusions: These results may be used to indicate areas with specific needs, to encourage systematic monitoring of socioeconomic gradients in health, and to provide a descriptive backdrop for a discussion of how to tackle these socioeconomic and geographic inequalities, which seem to persist even in the context of the comprehensive welfare systems in Scandinavia.

Income-Related Mortality Inequalities and Its Social Factors among Middle-Aged and Older Adults at the District Level in Aging Seoul: An Ecological Study Using Administrative Big Data

This study investigated income-related health inequality at sub-national level, focusing on mortality inequality among middle-aged and older adults (MOAs). Specifically, we examined income-related mortality inequality and its social factors among MOAs across 25 districts in Seoul using administrative big data from the National Health Insurance Service (NHIS). We obtained access to the NHIS’s full-population micro-data on both incomes and demographic variables for the entire residents of Seoul. Slope Index of Inequality (SII) and Relative Index of Inequality (RII) were calculated. The effects of social attributes of districts on SIIs and RIIs were examined through ordinary least squares and spatial regressions. There were clear income-related mortality gradients. Cross-district variance of mortality rates was greater among the lowest income group. SIIs were smaller in wealthier districts. Weak spatial correlation was found in SIIs among men. Lower RIIs were linked to lower Gini coefficients of income for both genders. SIIs (men) were associated with higher proportions of special occupational pensioners and working population. Lower SIIs and RIIs (women) were associated with higher proportions of female household heads. The results suggest that increasing economic activities, targeting households with female heads, reforming public pensions, and reducing income inequality among MOAs can be good policy directions.

Socioeconomic inequalities related to dental care needs among adolescents and adults living in the state of Minas Gerais, Brazil

Background There is significant evidence of inequalities in the need for dental treatment, and their monitoring is essential for public health planning. Objective To measure the extent of the association between socioeconomic inequality and need for dental care. Method This study used data from the 2011 Survey of Oral Health Conditions, including a representative sample of adolescents (n=2,310) and adults (n=1,188) from the state of Minas Gerais, Brazil. Need for dental treatment was evaluated according to criteria of the World Health Organization (WHO). Family income was used as a measure of socioeconomic status. The magnitude of socioeconomic inequalities related to the need for treatment was assessed using the slope index of inequality (SII) and the relative index of inequality (RII). Results Among adolescents, the SII was -22.9% (95% CI -34.8; -11.0) and the estimated RII was 0.61 (95% CI 0.47; 0.79). Among adults, the SII was -28.0% (95% CI -39.8; -16.3) and the RII was 0.58 (95% CI 0.45; 0.74). Conclusion There are socioeconomic inequalities regarding the need for dental treatment, and individuals with lower family income present a higher prevalence of need.

Trend of asthma prevalence among children based on regional urbanization level in Japan; 2006–2019

Although it has been known that the prevalence of asthma tends to be higher among children in the metropolitan areas of Japan, trends of the prevalence with respect to the regional urbanization level has not been investigated in recent years. We investigated trends in the prevalence of asthma among children and air pollutant concentrations by regional urbanization levels using data from the School Health Statistics Survey in Japan from 2006 to 2019. We calculated the age-standardized prevalence of asthma for each year, gender, regional urbanization level, and annual percent change (APC). In addition, the slope index of inequality (SII) and relative index of inequality (RII) were calculated for evaluating disparity in age-standardized asthma prevalence depending on regional urbanization levels. Moreover, we calculated the mean of the annual average values by regional urbanization levels for sulfur dioxide (SO2), nitrogen dioxide (NO2), suspended particulate matter (SPM), carbon monoxide (CO), and photochemical oxidant (Ox) from 2006 to 2018. We found that the age-standardized prevalence significantly decreased in the periods in the metropolis for males and females, and the degree of the decrease was largest in the metropolis. Conversely, the age-standardized prevalence increased in towns and villages, and the APC was greater than zero. In addition, both the SII and RII showed significant decreasing trends in the study period, and the regional disparity shrank over the years. Moreover, concentrations of the air pollutants were highest in the metropolis throughout the years except for Ox, whereas the difference in the concentrations of NO2, SPM, and CO decreased between the metropolis and the other areas over the years. In conclusion, disparity in asthma prevalence depending on regional urbanization level decreased from 2006 to 2019, and there is a possibility that regional difference in trend of the air pollutants is related to the result.

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

Background Smoking 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. Methods Cross-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. Results Younger 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. Conclusions For 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.

Level of inequality and the role of governance indicators in the coverage of reproductive maternal and child healthcare services: Findings from India

Background Diligent monitoring of inequalities in the coverage of essential reproductive, maternal, new-born and child health related (RMNCH) services becomes imperative to smoothen the journey towards Sustainable Development Goals (SDGs). In this study, we aim to measure the magnitude of inequalities in the coverage of RMNCH services. We also made an attempt to divulge the relationship between the various themes of governance and RMNCH indices. Methods We used National Family Health Survey dataset (2015–16) and Public Affairs Index (PAI), 2016 for the analysis. Two summative indices, namely Composite Coverage Index (CCI) and Co-Coverage (Co-Cov) indicator were constructed to measure the RMNCH coverage. Slope Index of Inequality (SII) and Relative Index of Inequality (RII) were employed to measure inequality in the distribution of coverage of RMNCH. In addition, we have used Spearman’s rank correlation matrix to glean the association between governance indicator and coverage indices. Results & conclusions Our study indicates an erratic distribution in the coverage of CCI and Co-Cov across wealth quintiles and state groups. We found that the distribution of RII values for Punjab, Tamil Nadu, and West Bengal hovered around 1. Whereas, RII values for Haryana was 2.01 indicating maximum inequality across wealth quintiles. Furthermore, the essential interventions like adequate antenatal care services (ANC4) and skilled birth attendants (SBA) were the most inequitable interventions, while tetanus toxoid and Bacilli Calmette- Guerin (BCG) were least inequitable. The Spearman’s rank correlation matrix demonstrated a strong and positive correlation between governance indicators and coverage indices.

Association of spousal violence and women’s empowerment status among the rural women of sub-Saharan Africa

Spousal violence (SV) is a global problem for women and its elimination is one of the prime targets of Sustainable Development Goal-5. Data from the Demographic and Health Surveys of seventeen countries, representing two sub-Saharan Africa (SSA) regions (East and Southern Africa [ESA] and West and Central Africa [WCA]), were used to examine the relationship between all types of SV and women’s empowerment status among rural married women aged 15–49 years. Multivariate logistic regression analysis was used to explore adjusted associations, and a relative index of inequality (RII) and slope index of inequality (SII) were used to measure the inequality in experiencing SV by rural women based on their overall empowerment position. Within the period 2015–2019, the reported rate of SV was higher in the ESA (physical SV: 33.55%; sexual SV: 16.96%; any type of SV: 46.14%) than the WCA countries (physical SV: 27.80%; sexual SV: 7.63%; any type of SV: 40.83%), except for emotional SV (WCA: 31.28% vs ESA: 29.35%). In terms of overall empowerment status, rural WCA women were slightly ahead of their counterparts in the ESA region (46.09% and 44.64%, respectively). For both ESA and WCA countries, women who didn’t justify violence and who had access to health care (except physical SV in WCA) showed negative but significant association with all types of SV in the adjusted analysis. Conversely, economic empowerment significantly increased the odds of experiencing physical and any type of SV in both regions. The significant risk ratios obtained from RII, for any SV were 0.83 and 1.09, and the β-coefficients from SII were –0.082 and 0.037 units, respectively, in ESA and WCA. Multi-sectoral microfinance-based intervening programmes and policies should be implemented regionally to empower women, especially in the economic, socio-culture, health care accessibility dimensions, and this will eventually reduce all types of spousal violence in rural SSA.

Regional and socioeconomic disparities in cardiovascular disease in Canada during 2005–2016: evidence from repeated nationwide cross-sectional surveys

IntroductionThe objective of this study is to examine the temporal trends and patterns of regional and socioeconomic disparities in cardiovascular disease (CVD) in Canada during 2005–2016.MethodsA total of 670 000 adults aged ≥20 years who participated in the Canadian Community Health Surveys between 2005 and 2016 were enrolled for this study. CVD referred to heart disease and stroke in this study. Equivalised household income was used as a proxy of socioeconomic status. Absolute and relative socioeconomic inequalities were measured by slope index of inequality (SII) and relative index of inequality (RII), respectively.ResultsIn 2015/2016, the overall age-adjusted and sex-adjusted prevalence of heart disease and stroke was 4.80% (95% CI 4.61% to 4.98%) and 1.25% (95% CI 1.13% to 1.36%), respectively. Trend analyses suggested a significant decline in the age-adjusted and sex-adjusted prevalence of heart disease (P for trend <0.001) and a non-significant decline in the age-adjusted and sex-adjusted prevalence of stroke (P for trend=0.058) from 2005 to 2016. Nevertheless, the total number of adults suffering from heart disease and stroke increased by 8.9% and 20.2% over the study period, respectively. Moreover, the age-adjusted and sex-adjusted prevalence of heart disease and stroke varied widely across all health regions, and both of them tended be higher among those with lower income. The SII and RII indicated that there were persistent absolute and relative socioeconomic inequalities in heart disease and stroke across all surveys (eg, SII for heart disease in both sexes, 2005: 0.04 (95% CI 0.03 to 0.04); 2015/2016: 0.03 (95% CI, 0.02 to 0.04); RII for heart disease in both sexes, 2005: 1.99 (95% CI 1.75 to 2.27); 2015/2016: 1.77 (95% CI 1.52 to 2.08).ConclusionGeographical and socioeconomic disparities should be taken into account during the further efforts to strengthen preventive measures and optimise healthcare resources for heart disease and stroke in Canada.

Gender-specific trends of educational inequality in diagnosed diabetes from 1999 to 2014 in Hong Kong: a serial cross-sectional study of 97,481 community-dwelling Chinese adults

Background Gender differences in the trend of educational inequality in diabetes have been widely observed in the Western populations, indicating the increasing importance of educational attainment as a social determinant of diabetes among women. Nonetheless, relevant evidence is scarce in developed Asian settings for comparisons. This study examined the gender-specific trends of educational inequality in diagnosed diabetes in Hong Kong between 1999 and 2014. Methods A series of eight territory-wide population-representative samples of 97,481 community-dwelling Hong Kong Chinese adults aged 45 or above were surveyed between 1999 and 2014. Regression-based Relative Index of Inequality (RII) and age-standardized Slope Index of Inequality (SII) were adopted to examine the extent and trend of gender-specific educational inequality in self-reported physician-diagnosed diabetes. Results Age-standardized prevalence of diabetes increased in both genders over time, with a steeper surge among men. In addition, educational inequalities in diabetes, in both relative and absolute terms, significantly widened among women over the study period (annual RII change = 1.04; 95% CI = 1.02–1.07, annual SII change = 0.36%; 95% CI = 0.16–0.56%), with the peak in 2011 (RII = 2.44; 95% CI = 1.83–3.24, SII = 9.21%; 95% CI = 6.47–11.96%). However, no significant widening inequality was found among men. Further adjustment for household income level did not attenuate the observed educational inequality. Conclusions Despite a greater increase in diabetes prevalence among men, disparity in diabetes substantially widened across education levels among women in the past decade in Hong Kong. The gender perspective should be taken into considerations for policy making to alleviate the prevalence surge and rising educational inequality in diabetes.

Inequalities in population health loss by multiple deprivation: COVID-19 and pre-pandemic all-cause disability-adjusted life years (DALYs) in Scotland

Background COVID-19 has caused almost unprecedented change across health, education, the economy and social interaction. It is widely understood that the existing mechanisms which shape health inequalities have resulted in COVID-19 outcomes following this same, familiar, pattern. Our aim was to estimate inequalities in the population health impact of COVID-19 in Scotland, measured by disability-adjusted life years (DALYs) in 2020. Our secondary aim was to scale overall, and inequalities in, COVID-19 DALYs against the level of pre-pandemic inequalities in all-cause DALYs, derived from the Scottish Burden of Disease (SBoD) study. Methods National deaths and daily case data were input into the European Burden of Disease Network consensus model to estimate DALYs. Total Years of Life Lost (YLL) were estimated for each area-based deprivation quintile of the Scottish population. Years Lived with Disability were proportionately distributed to deprivation quintiles, based on YLL estimates. Inequalities were measured by: the range, Relative Index of Inequality (RII), Slope Index of Inequality (SII), and attributable DALYs were estimated by using the least deprived quintile as a reference. Results Marked inequalities were observed across several measures. The SII range was 2048 to 2289 COVID-19 DALYs per 100,000 population. The rate in the most deprived areas was around 58% higher than the mean population rate (RII = 1.16), with 40% of COVID-19 DALYs attributed to differences in area-based deprivation. Overall DALYs due to COVID-19 ranged from 7 to 20% of the annual pre-pandemic impact of inequalities in health loss combined across all causes. Conclusion The substantial population health impact of COVID-19 in Scotland was not shared equally across areas experiencing different levels of deprivation. The extent of inequality due to COVID-19 was similar to averting all annual DALYs due to diabetes. In the wider context of population health loss, overall ill-health and mortality due to COVID-19 was, at most, a fifth of the annual population health loss due to inequalities in multiple deprivation. Implementing effective policy interventions to reduce health inequalities must be at the forefront of plans to recover and improve population health.