Socioeconomic Gradient Research Articles

Associations between mobility and socio-economic indicators vary across the timeline of the Covid-19 pandemic

Covid-19 interventions are greatly affecting patterns of human mobility. Changes in mobility during Covid-19 have differed across socio-economic gradients during the first wave. We use fine-scale network mobility data in Ontario, Canada to study the association between three different mobility measures and four socio-economic indicators throughout the first and second wave of Covid-19 (January to December 2020). We find strong associations between mobility and the socio-economic indicators and that relationships between mobility and other socio-economic indicators vary over time. We further demonstrate that understanding how mobility has changed in response to Covid-19 varies considerably depending on how mobility is measured. Our findings have important implications for understanding how mobility data should be used to study interventions across space and time. Our results support that Covid-19 non-pharmaceutical interventions have resulted in geographically disparate responses to mobility and quantifying mobility changes at fine geographical scales is crucial to understanding the impacts of Covid-19.

Socioeconomic inequalities in distance to and participation in a community-based running and walking activity: A longitudinal ecological study of parkrun 2010 to 2019.

ObjectivesTo conduct a longitudinal ecological analysis of the distance to and participation in free weekly outdoor physical activity events (parkrun) in England from 2010 to 2019, and related socioeconomic and ethnic inequalities, to inform policies to support participation in physically active community events.MethodsWe calculate distance to the nearest parkrun event for each English Lower Layer Super Output Area (LSOA) each month from January 2010 to December 2019. We then report the trends in distance to and participation in parkrun by Index of Multiple Deprivation quintile. We also report trends in the Relative Index of Inequality (RII) by deprivation for participation and distance to nearest event. We go on to investigate trends in LSOA level determinants (e.g. deprivation and ethnic density) of parkrun participation between 2010 and 2019, using multivariable Poisson regression models.ResultsMean distance to the nearest parkrun event decreased from 34.1 km in 2010, to 4.6 km in 2019. Throughout the period, parkrun events tended to be situated closer to deprived areas compared to less deprived areas. Participation rates increased superlinearly (greater than linear increase) from 2010 to 2013 before slowing to linear growth. Participation over the period exhibits a clear socioeconomic gradient, with people from deprived areas having consistently lower participation rates over the period. parkrun participation rates became more equal between 2010 and 2013 (RII improved from 189 to 39), before stabilising at an RII between 32.9 and 39.6 from 2014 to 2019. The results of the Poisson regression model validate this finding; the coefficients on IMD score initially increased from −0.050 in 2010 to −0.038 in 2013, and then remained relatively stable to 2019 (−0.035).ConclusionsOver the past 10 years, geodesic distance to the nearest parkrun decreased from a mean of 34 km to 5 km. In 2010, there was equality between the least and most deprived areas but by 2017 the distance of the most deprived areas was 29% that of the least deprived. Participation was shown to have increased over the past 10 years which can be split into two distinct phases: from 2010 to 2013 participation increased super-linearly and inequality in participation fell dramatically; from 2013 to 2019 participation increased linearly, and inequality in participation remained stable. Despite parkrun's ambitions of creating inclusive events and engaging with deprived communities, the socioeconomic gradient in participation rates remained high and stable since 2013. Gaining a better understanding of the reasons why parkrun grew so quickly may be useful for other physical activity movements, while further analysis of the relatively lower participation rates in areas with higher socioeconomic deprivation is important for developing initiatives to encourage physical activity in these communities.

1042Trends in area-level socioeconomic inequalities of lung cancer mortality by age group in Japan: 1995-2014

Abstract Background During the long-term economic recession, health inequalities have been concerned in Japan. Among cancer mortality rates, the widest socioeconomic inequalities of municipal mortality was observed in lung cancer. Our aim was to examine the trends in the inequality by sex and age group. Methods We used the areal deprivation index (ADI) to determine area-level socio-economic position at the municipality level. We calculated age-standardised lung cancer mortality rate by sex, age group (<60/60-74/75+) and ADI quintile group using the vital statistics data. Joinpoint regression models were applied to estimate the average annual percentage changes for the last five years. We also calculated absolute index and relative index of inequalities. Results Among men, a clear socioeconomic gradient in lung cancer mortality was observed for all age groups, but among women, ‘J-shape’ gradients in which Q2 or Q3 had the lowest mortality were observed. For women aged 60-74 years, increasing trends of mortality were observed in more deprived groups (Q3-Q5). Men over 75 years showed noticeably decreasing trends in mortality, while women showed no decrease. Absolute inequalities in women were smaller than those in men, but relative inequalities showed widening trends for all age groups. Conclusions We identified widening area-level gaps in all age groups and stable/increasing trends in lung cancer mortality of the 60-74 year age group. Key messages It is important to monitor mortality trends and their gaps of lung cancer mortality among deprivation groups to identify vulnerable subpopulations in order to help tackle the health inequalities.

WITHDRAWN: Effects of socioeconomic gradient and children’s cognitive development

Many schools raise children with significantly lower levels of academic achievement who flourish in disadvantaged communities. Early in children's lives, even before kindergarten, these educational shortcomings arise and develop through childhood. This research observed some directions that affect cognitive development in early years to 5 years using family socioeconomic position (SEP). In this research, upbringing, fitness, wellbeing, and family relationships are examined and referred to as the early childhood care system. Such factors have been rarely tested in massive datasets together to preclude a systematic scientific study of their position as predictors and effects of adverse child outcomes. The study aims to explore the cognitive development framework (CDF) for early cognizance and shows that several sources have effects: earnings, childcare, the home atmosphere, and the neighborhood of single parenthood. As part of this research, researchers looked at the cognitive development framework (CDF) for early cognizance. They found that several factors impacted, including incomes, daycare, home environment, and neighborhood. The income seems to be a significant independent indicator of the gradient of cognitive growth. The most critical influence is the effect of “length of exposure” and “intensity” based on poverty depth. The whole research enables us to recognize the relative strengths of the most potent health consequences, giving valuable information into how they're being tackled. The CDF enhance outcomes of successful children cognitive development ratio of 97.1%, high-performance analysis ratio of 98.5%, improve reliability ratio of 92.1%, improve probability ratio of 98.7%, knowledge retention ratio of 93.1%, improve learning ability skill ratio of 91.9%, prediction ratio of 98.5%, and enhance critical thinking ratio of 94.2% when compared to research methods. • Enhance critical thinking ratio of 94.2% when compared to research methods • Explores the early cognition cognitive development framework CDF • Socio-economic status in the early to 5 years of family socioeconomic position

Income inequality and COVID-19 mortality: Age-stratified analysis of 22 OECD countries.

Our study builds on a growing body of research that demonstrates an association between income inequality and COVID-19 mortality. Using Poisson multivariate regression, we age-stratify our analysis by separately examining each of four age groups over a nine-month study period in 22 OECD countries. Our full regression model controls for national median income and relative poverty, and a set of pandemic-specific variables to capture exposure, susceptibility and treatment. We found that country-level income inequality, as measured by the disposable income Gini coefficient, is significantly and positively associated with COVID-19 mortality for all four age groups. Consistent with previous studies that analyzed all-cause mortality by age, our regression results found that the point estimate of the Gini coefficient generally declines with age. Our results suggest that inequality is possibly acting through generic and pandemic-specific processes to increase mortality via a more pronounced negative COVID-19 socio-economic status gradient in higher inequality countries.

Developing robust indicators of age-friendly neighborhood environments across urban-rural and socioeconomic gradients in 20 countries from five continents

BACKGROUND AND AIM: By 2050, the older-adult population (60+) will reach 2.1 billion, surging fastest in low- and middle-income countries (LMIC). In response, the World Health Organization (WHO) has developed a framework and indicators of age-friendly urban environments, but these criteria have been challenging to apply in rural areas and LMIC. This study fills this gap by adapting these indicators to such settings and assessing variation by country-level income and community-level urban-rural status. METHODS: First, a narrative review identified and described existing healthy-aging audit tools. Next, data were drawn from the Prospective Urban and Rural Epidemiology (PURE) study’s environmental-exposure assessment tools, which relied on systematic social observation and ecometrics to develop objective and subjective indicators relevant to cardiovascular disease. Following a multitrait, multimethod (MTMM) approach to assess convergent and discriminant validity, we specified a set of 23 indicators aligned with WHO’s framework and calculated their values across 496 communities in 20 countries, including 382 communities (77%) located in LMIC. RESULTS:Among the WHO’s eight environmental domains, six were represented in PURE’s environmental data. Overall, 91% of communities had access to parks/recreation and street lighting, while 45% had traffic lights. In addition, 85% of communities offered a public medical clinic, but only 15% a public hospital. Communities in high-income countries rated highest overall, although bus-transit connections were most common in low-income countries (95%). The greatest amount of variation by urbanness was seen in the number of streetscape-greenery elements (55.2 in rural areas vs. 32.5 in urban); traffic lights (17.8% vs. 67.1%); access to universities (32.9% vs. 90.3%); and home-internet availability (24.7% vs. 53.8%). CONCLUSIONS:This study indicates the extent to which environmental supports for healthy aging may be less readily available to older adults residing in rural areas and LMIC, highlighting a critical aspect of equity that is increasingly important to address in an aging world. KEYWORDS: Green space, Walkability, Healthy aging, Methodological study design, International collaboration

A Critical Analysis of Representations of Inequalities in Childhood Obesity in Australian Health Policy Documents.

In Australia, childhood obesity follows a socioeconomic gradient whereby children with lower socioeconomic position are disproportionately burdened. To reduce these inequalities in childhood obesity requires a multi-component policy-driven response. Action to address health issues is underpinned by the ways in which they are represented as 'problems' in public policy. This study critically examines representations of inequalities in childhood obesity within Australian health policy documents published between 2000-2019. Australia's federal, state and territory government health department websites were searched for health policy documents including healthy weight, obesity, healthy eating, food and nutrition strategies; child and youth health strategies; and broader health and wellbeing, prevention and health promotion policies that proposed objectives or strategies for childhood obesity prevention. Thematic analysis of eligible documents was guided by a theoretical framework informed by problematization theory, ecological systems theory, and theoretical principles for equity in health policy. Eighteen policy documents were eligible for inclusion. The dominant representation of inequalities in childhood obesity was one of individual responsibility. The social determinants of inequalities in childhood obesity were acknowledged, yet policy actions predominantly focused on individual determinants. Equity was positioned as a principle of policy documents but was seldom mentioned in policy actions. Current representations of inequalities in childhood obesity in Australian health policy documents do not adequately address the underlying causes of health inequities. In order to reduce inequalities in childhood obesity future policies will need greater focus on health equity and the social determinants of health (SDoH).

Socioeconomic differences in utilization of public and private dental care in Finland: Register-based evidence on a population aged 25 and over.

Dental care utilization is known to have a strong socioeconomic gradient, with lower socioeconomic groups utilizing less of these services despite having poorer dental health. However, less is known about the utilization of dental services in the population concurrently in the public and private sectors in different socioeconomic groups. Additionally, evidence on how different sectors contribute to the overall socioeconomic gradient in dental care utilization is scarce. This study examines visits and absence of visits to public and private dentists in the years 2017–2018 by education, occupational class and income. Comprehensive register data was collected from the total population aged 25 and over in the city of Oulu, Finland (N = 118,397). The data were analyzed with descriptive methods and with multinomial logistic regressions for the probability of visits and with negative binomial regressions for the number of visits, adjusted for sociodemographic covariates. The results showed a clear socioeconomic gradient for the probability of visits according to income and education: the higher the income and the higher the education, the more likely was a visit to a dentist–especially a private dentist–during the two-year period. Similar results were obtained for the number of visits. Higher socioeconomic status was less associated with public dentist visits. While those with the lowest income visited public dentists more frequently than private dentists, their overall visits fell below that of others. Adjusted estimates by occupation did not show a clear socioeconomic gradient. The socioeconomic inequality in dentist visits in a country having a universally covered public dental care scheme puts a challenge for decision makers in designing an equal dental health care system. Experimenting with lower co-payments is a possible option.

Aging into disadvantage: Disability crossover among Mexican immigrants in America

The “Hispanic paradox” refers to the accepted finding that Mexican immigrants have lower mortality compared to the US-born population, despite having lower levels of income, educational attainment, and health insurance coverage. However, Mexican immigrants' mortality advantage is not matched by lower disability rates, particularly later in the life course. Past studies have identified a crossover in disability rates for Mexican immigrants using age-specific disability rates but confound the effects of aging and duration of residence. By using the synthetic cohort method, I extend prior work on the disability crossover by tracing immigrant cohorts across the life course and disentangling newly arrived immigrants from those already established in the U.S. I use American Community Survey (ACS) 2015–2019 data to test whether the acculturation or cumulative disadvantage hypotheses account for the disability crossover. I find that, contrary to the expected finding of a socioeconomic health gradient in disability rates, Mexican immigrants' high disability rates converge regardless of education level or immigrant cohort. In addition, Mexican female immigrants are doubly disadvantaged, living in a protracted period of disability compared to males of the same education level. My findings support the negative health acculturation hypothesis as the dominant pathway for Mexican immigrants’ later-life disability trajectories and consequently the explanation behind the disability crossover.

Obesity and food away from home: What drives the socioeconomic gradient in excess body weight?

Rising obesity rates are one of the most challenging public health issues in many emerging economies. To what extent food away from home (FAFH) and its nutritional components are behind this rise is not yet well understood. To address the issue, this paper combines a representative restaurant survey that includes detailed information on the diet quality of the most widely consumed meals and their nutritional components from 1605 restaurants and a representative household survey with anthropometric measures of adult women living in 40 neighborhoods in the Lima Metropolitan Area. One important advantage of the dataset is the fact that nutrition professionals observed the preparation of the meals and that they were subject to a detailed laboratory analysis. Exploiting this data, we examine the differences in nutritional quality of FAFH among 40 neighborhoods of various socioeconomic groups and explore whether these differences can explain part of the observed socioeconomic gradient in excess body weight. The findings indicate that less healthy food in restaurants located in the food environment of the households is significantly associated with higher rates of obesity and overweight. In particular, the high supply and intake of sodium potentially drives higher excess body weight. The study also finds that up to 15 percent of the socioeconomic gradient in obesity is attributable to the restaurant food quality in the food environment of the households.

Inequalities in incident and prevalent multimorbidity in England, 2004–19: a population-based, descriptive study

The increasing burden of multimorbidity and its socioeconomic gradient poses unique challenges to the provision and structure of health care. We aimed to describe inequalities and trends over time in multimorbidity prevalence, incidence, and case fatality among adults of all ages in England using primary care electronic health records. We used a random sample of 991 243 individuals from the Clinical Practice Research Datalink Aurum database registered at participating general practices within England between Jan 1, 2004, and Dec 31, 2019, linked to the 2015 English Index of Multiple Deprivation (IMD). We used the following two outcome measures: basic multimorbidity, comprising two or more chronic conditions; and complex multimorbidity, comprising at least three chronic conditions affecting at least three body systems. We calculated crude, age-standardised, and age-sex-standardised annual incidence, prevalence, and case fatality rates, along with median age of onset for both multimorbidity types. We calculated absolute and relative inequalities for each outcome. In 2004, 30·8% of our study population had basic multimorbidity and 15·1% had complex multimorbidity. This increased to 52·8% and 32·7%, respectively, in 2019. Although the overall incidence of basic multimorbidity remained stable over the 16-year study period, the incidence among people of working age and the incidence of complex multimorbidity increased gradually. Socioeconomic deprivation was associated with an increased incidence of both multimorbidity types in working-age adults. The median age at onset of complex multimorbidity was 7 years younger for the most deprived quintile of the IMD compared with the least deprived quintile. The burden of multimorbidity in England has increased substantially over the past 16 years with persistent inequalities, which are worse in working-age adults and for complex multimorbidity. Prevention efforts to reduce the onset and slow the progression of multimorbidity are essential to reduce the increasing impact on patients and health systems alike. University of Liverpool and UK National Institute for Health Research School for Public Health Research.

Using Latent Class Analysis to Explore Complex Associations Between Socioeconomic Status and Adolescent Health and Well-Being

PurposeResearch demonstrates a strong socioeconomic gradient in health and well-being. However, many studies rely on unidimensional measures of socioeconomic status (SES) (e.g. educational qualifications, household income), and there is often a more limited consideration of how facets of SES combine to impact well-being. This paper develops a multidimensional measure of SES, drawing on family and school-level factors, to provide more nuanced understandings of socioeconomic patterns in adolescent substance use and mental well-being. MethodsData from the Student Health and Wellbeing Survey from Wales, UK was employed. The sample compromised 22,372 students and we used latent class analysis to identify distinct groups using three measures of SES. These classes were then used to estimate mental well-being, internalizing symptoms, and substance use. ResultsThe five-class solution offered the best fit. Findings indicated distinct classes of families as follows: “nonworking,” “deprived working families,” “affluent families in deprived schools,” “lower affluence,” and “higher affluence.” There was a clear relationship among the classes and mental well-being, internalizing symptoms, smoking, and cannabis use; alcohol was the exception to this. ConclusionsThe identification of these classes led to a fuller understanding of the health and well-being effects of SES, showing clearer patterning in health behaviors that often is not captured in research. The implications for adolescent health and well-being are discussed, including considerations for future research.

Socio-economic inequalities in dietary intake in Chile: a systematic review.

Understanding the socio-economic inequalities in dietary intake is crucial when addressing the socio-economic gradient in obesity rates and non-communicable diseases. We aimed to systematically assess the association between socio-economic position (SEP) and dietary intake in Chile. We searched for peer-reviewed and grey literature from inception until 31 December 2019 in PubMed, Scopus, PsycINFO, Web of Sciences and LILACS databases. Observational studies published in English and Spanish, reporting the comparison of at least one dietary factor between at least two groups of different SEP in the general Chilean population, were selected. Two researchers independently conducted data searches, screening and extraction and assessed study quality using an adaptation of the Newcastle Ottawa Quality Assessment Scale. Twenty-one articles (from eighteen studies) were included. Study quality was considered low, medium and high for 24, 52 and 24 % of articles, respectively. Moderate-to-large associations indicated lower intake of fruit and vegetables, dairy products and fish/seafood and higher pulses consumption among adults of lower SEP. Variable evidence of association was found for energy intake and macronutrients, in both children and adults. Our findings highlight some socio-economic inequalities in diets in Chile, evidencing an overall less healthy food consumption among the lower SEP groups. New policies to reduce these inequalities should tackle the unequal distribution of factors affecting healthy eating among the lower SEP groups. These findings also provide important insights for developing strategies to reduce dietary inequalities in Chile and other countries that have undergone similar nutritional transitions.

Do socioeconomic health gradients persist over time and beyond income? A distributional analysis using UK biomarker data

This paper analyses the relationship between health and socioeconomic disadvantage by adopting a dynamic approach accounting for spatial and temporal changes across ten domains including social isolation, environment, financial hardship and security. As a first step we develop a measure of overall multidimensional deprivation and undertake a decomposition analysis to explore the role of breadth and duration of deprivation on shaping the deprivation gradient in health. Subsequently, we employ unconditional quantile regression to conduct a distributional analysis of the gradient to understand how the gradient evolves for people with vulnerability in health. In contrast to the majority of existing studies, we capture health status using a range of nurse measured biomarkers, rather than self reported health measures, taken from the UKHLS and BHPS databases. The first main finding is that the socioeconomic gradient in most of our health measures is not solely attributed to income as it accounts for only 3.8% of total deprivation and thus it is important to account for other domains through a multidimensional deprivation measure in health gradient analysis. Our second finding is the existence of a systematic deprivation gradient for BMI, waist circumference, heart rate, C-reactive protein and HbA1c where evolution over time is an important factor particularly for individuals with greater burden of illness lying at the right tail of the biomarker distribution. Thus cost effective health policy would need to adopt targeted interventions prioritising people experiencing persistent deprivation in dimensions such as housing conditions and social isolation.

Teachers’ perspectives on the barriers to healthy lifestyle behaviors among adolescent girls of disadvantaged backgrounds in Ireland: A qualitative study

Though adolescence is a particularly sensitive period regarding the development of long-lasting health-related attitudes and behaviors, little research has examined the factors which influence their engagement in such behaviors. Adolescent females are particularly sensitive to suffer from overweight and obesity. It is also a time that can impact the health patterns of future generations due to the influence of preconception maternal factors on the health of their offspring. Furthermore, much research has identified a strong socioeconomic gradient in obesity in Ireland, with individuals from low socioeconomic backgrounds being particularly likely to develop unhealthy habits. The current study aimed to develop an understanding of the factors which influence the health-related behaviors of adolescent girls of low-socioeconomic status in Ireland, an underrepresented yet particularly sensitive cohort. Semi-structured interviews were conducted with nine teachers from disadvantaged schools in Dublin and were examined using a thematic analytic approach. Nine themes were identified: lack of interest and knowledge, lack of self-confidence, the dual role of modern technology, behaviors of significant others, need for good role models, availability of convenience foods, inadequate existing approaches and initiatives, lack of resources to promote a healthy lifestyle, and living difficulties at home and in the community. Findings suggested ways for intervening at personal, interpersonal, organizational and community levels. In conclusion, a range of practical changes are required in the home, school, and community environments in order to improve the health of these individuals, and ultimately to improve the health of future generations.

The Socioeconomic Gradient in Epigenetic Ageing Clocks: Evidence from the Multi-Ethnic Study of Atherosclerosis and the Health and Retirement Study

ABSTRACT Epigenetic clocks have been widely used to predict disease risk in multiple tissues or cells. Their success as a measure of biological ageing has prompted research on the connection between epigenetic pathways of ageing and the socioeconomic gradient in health and mortality. However, studies examining social correlates of epigenetic ageing have yielded inconsistent results. We conducted a comprehensive, comparative analysis of associations between various dimensions of socioeconomic status (SES) (education, income, wealth, occupation, neighbourhood environment, and childhood SES) and eight epigenetic clocks in two well-powered US ageing studies: The Multi-Ethnic Study of Atherosclerosis (MESA) (n = 1,211) and the Health and Retirement Study (HRS) (n = 4,018). In both studies, we found robust associations between SES measures in adulthood and the GrimAge and DunedinPoAm clocks (Bonferroni-corrected p-value < 0.01). In the HRS, significant associations with the Levine and Yang clocks were also evident. These associations were only partially mediated by smoking, alcohol consumption, and obesity, which suggests that differences in health behaviours alone cannot explain the SES gradient in epigenetic ageing in older adults. Further analyses revealed concurrent associations between polygenic risk for accelerated intrinsic epigenetic ageing, SES, and the Levine clock, indicating that genetic risk and social disadvantage may contribute additively to faster biological aging.

Leaving No Child Behind: Decomposing Socioeconomic Inequalities in Child Health for India and South Africa.

Background: The United Nations’ 2030 Agenda for Sustainable Development argues for the combating of health inequalities within and among countries, advocating for “leaving no one behind”. However, child mortality in developing countries is still high and mainly driven by lack of immunization, food insecurity and nutritional deficiency. The confounding problem is the existence of socioeconomic inequalities among the richest and poorest. Thus, comparing South Africa’s and India’s Demographic and Health Surveys (DHS) of 2015/16, this study examines socioeconomic inequalities in under-five children’s health and its associated factors using three child health indications: full immunization coverage, food insecurity and malnutrition. Methods: Erreygers Normalized concentration indices were computed to show how immunization coverage, food insecurity and malnutrition in children varied across socioeconomic groups (household wealth). Concentration curves were plotted to show the cumulative share of immunization coverage, food insecurity and malnutrition against the cumulative share of children ranked from poorest to richest. Subsequent decomposition analysis identified vital factors underpinning the observed socioeconomic inequalities. Results: The results confirm a strong socioeconomic gradient in food security and malnutrition in India and South Africa. However, while full childhood immunization in South Africa was pro-poor (−0.0236), in India, it was pro-rich (0.1640). Decomposed results reported socioeconomic status, residence, mother’s education, and mother’s age as primary drivers of health inequalities in full immunization, food security and nutrition among children in both countries. Conclusions: The main drivers of the socioeconomic inequalities in both countries across the child health outcomes (full immunization, food insecurity and malnutrition) are socioeconomic status, residence, mother’s education, and mother’s age. In conclusion, if socioeconomic inequalities in children’s health especially food insecurity and malnutrition in South Africa; food insecurity, malnutrition and immunization in India are not addressed then definitely “some under-five children will be left behind”.

Clinical Management for Diabetes Associated with the Concept of Socioeconomic Status (SES)

Diabetes mellitus has become a medical and social problem. For better diabetic management and improvement of the health care system, the concept of social determinants of health (SDOH) and socioeconomic status (SES) would be required. SES includes adequate diabetes care, medical cost, health condition, and regular access to care and cure. World Health Organization (WHO) has continued the prevention and management of diabetes and proposed the Global Diabetes Compact in last 2020 [1]. The purpose of the Compact includes several items, such as i) to leverage present capacities in the healthcare system, ii) to meet people’s needs more holistic way, iii) to promote efforts to prevent diabetes especially the young generation, and others. A successful key would be the combined action among public, private, and philanthropic associations. Diabetes mellitus has been a growing medical and social problem in all countries and districts worldwide [2]. The socio economic gradient for diabetic prevalence is shown in high income countries [3]. Further, this gradient seems to be continued for a long despite the improvement of the health care system in those countries [4,5]. In this paper, we describe the social determinants of health (SDOH) and socioeconomic status (SES), among other axes of symmetry for diabetes. In medical practice and health care, population based and value based care have been emphasized. Then, the concept of social determinants of health (SDOH) has been gradually known for an intervention target for estimating health equity [6]. Recently, some comments for SDOH were proposed from medical associations, such as the Society of General Internal Medicine, the American College of Physicians, and other organizations [7]. Moreover, the action perspectives tend to focus on the determinants for individuals and policy [8,9]. In diabetic practice, some basic matters exist including prevalence, incidence, adequate therapy, and economic problems [10]. ADA presented a comment about socio ecological determinants of diabetes. Successively, ADA had an advanced health improvement project for the diabetes writing committee. It has the goal of clarifying diabetic risk and outcomes, academic literature for SDOH [11]. From previous literature, SDOH covers certain areas as follows [6]: i) social context (social support, relationship, and capital, social relationship), ii) health care (quality, accessibility, affordability), iii) local and physical circumstance (residence condition, building environment), iv) food environment (insecurity for food, accessibility for food) and v) socio economic condition (occupation, education, income). According to academic reports, the health disparities for diabetes have been present in the light of adverse influence [12]. Social and environmental factors have been summarized as SDOH in WHO [13]. Among them, social environments seem to be rather main factors. They include societal and community context [14], social capital, social cohesion, and social elements [15]. Health care has been found as an SDOH in the Healthy People 2020, WHO, County health rankings models, associated with accessible factors. WHO regards the health system as one of the SDOH which can give a message of determinants of several health outcomes [15]. On the other hand, it is socioeconomic status (SES) that may influence all related aspects of diabetic treatment in the clinical practice [16]. Actually, lower SES diabetic cases are likely to have some barriers to adequate diabetes care, including medical cost, unsatisfactory health condition, and regular access to care and cure [17]. SES has revealed the multidimensional construct, associated with the occupational, economic, and educational situation [18]. SES has been related to all factors of SDOH [13]. They include medical care, health care, nutrition, social resources, housing, transportation, and so on. The factors of SES and diabetes were investigated for observational studies [19]. It included 28 investigations including diabetic complications, retinopathy, cardiopathy, and others. In summary, SDOH and SES concerning diabetes were introduced. This information will be hopefully useful for developing a bio psycho social perspective in clinical practice.

Income and Education Inequalities in Brain and Central Nervous System Cancer Incidence in Canada: Trends over Two Decades.

The socioeconomic gradient of brain and central nervous system (CNS) cancer incidence in Canada is poorly understood. This study aimed to measure socioeconomic inequalities in brain and CNS cancer incidence in Canada from 1992 to 2010. Using a unique census division level dataset (n = 280) pooled from the Canadian Cancer Registry (CCR), the Canadian Census of Population and the National Household Survey, we measured brain and CNS cancer incidence in Canada. The age-adjusted concentration index (C) was used to measure income- and education-related inequalities in brain and CNS cancers in Canada, and for men and women, separately. Time trend analyses were conducted to examine the changes in socioeconomic inequalities in brain and CNS cancers in Canada over time. The results indicated that the crude brain and CNS cancer incidence increased from 7.29 to 8.17 per 100,000 (annual percentage change: 0.70) over the study period. The age-adjusted C results suggested that the brain and CNS cancer incidence was not generally significantly different for census division of different income and educational levels. There was insufficient evidence to support changes in income and education-related inequalities over time. Since the incidence of brain and CNS cancers in Canada showed no significant association with socioeconomic status, future cancer control programs should focus on other risk factors for this cancer subset.

Food and health promotion literacy among employees with a low and medium level of education in the Netherlands

BackgroundPrior research indicates a positive association between socioeconomic position and health literacy levels. We hypothesize comparable socioeconomic gradients for food literacy. This study aims to determine the level of self-perceived food literacy and health promotion literacy among adults with a low and medium level of education and from various subgroups, as well as the association between these food and health literacy levels. Furthermore, this study aims to explore the associations of self-perceived food literacy (SPFL) and health promotion literacy (HPL) in BMI.MethodsA cross-sectional study was conducted among employees with a low and medium level of education. Descriptive analyses were performed to compute SPFL and HPL levels. Analyses of variance were performed to test differences between subgroups. The correlation between SPFL and HPL was computed by Pearson’s r. Multivariate linear regression analyses were used to explore 1) the association between SPFL and HPL adjusted for demographic characteristics 2) the associations between SPFL and HPL in BMI.ResultsThe majority (63.1%) of all participants (n = 222) scored low on SPFL and 34.5% scored inadequate or problematic on HPL. No significant educational or weight-status differences were found in SPFL or HPL levels. On most levels, women compared to men and older compared to younger employees scored significantly higher. A small positive correlation between the two mean levels was found, r = .25, P < .001 (n = 203). Multivariate linear regression analyses showed a significant association between SPFL and HPL (B = .31, 95% CI = .15–.48). No significant associations between SPFL and HPL in BMI were found.ConclusionsThis study suggests there is room for improvement in SPFL and HPL among adults with a low and medium level of education. Future research should consider comparing low and middle socioeconomic with high socioeconomic groups when exploring food and health literacy. Regarding health promotion activities for adults with a low and medium level of education, it is recommended to focus on improving both food and health literacy. Furthermore, more research is needed to explore direct proxies of weight-status to better understand the role of food and health literacy in overweight patterns.