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      Uncovering the mechanisms underlying the social patterning of diabetes

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      EClinicalMedicine
      Elsevier

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          Abstract

          Extensive evidence shows that social and/or economic disadvantage is associated with a range of poor health outcomes. Unlike differences in health that are related to biological factors (e.g. genetics, age or gender), health disparities refer to differences in health that are linked to one's position in the social/economic hierarchy. Health disparities are differences that could be prevented by appropriate social policies [1]. The mechanisms by which social position leads to disease are still largely unknown. Two explanations have been proposed for how social/economic position might lead to different health outcomes: differential exposure and differential vulnerability [2]. The differential exposure explanation is that social variation in disease risk is due to variation in exposure to risk factors. Socially disadvantaged individuals may have higher rates of disease because they have greater exposure to risk factors for the disease. This explanation for health disparities assumes that the relationship between risk factors and health outcomes is the same across social groups. Alternatively, it may be that social position confers differential vulnerability to the same risk factors, such that exposure to the same risk factor may result in different levels of disease risk in different social groups. Distinguishing between these two possible explanations for health disparities is not merely of theoretical interest. It has important implications for interventions. If social position confers differential vulnerability to particular risk factors, then interventions that eliminate disparities in risk factors will not necessarily eliminate disparities in health outcomes. Diabetes is a complex health condition that dramatically increases risk of cardiovascular disease, kidney disease and a host of vascular problems, and it is highly influenced by social/economic position. Risk of diabetes is higher in socially disadvantaged groups [3,4]. Data presented by Vinke, et al. [5] in this article of EClinicalMedicine are informative with regard to the mechanism by which social position might impact diabetes risk. The differential exposure explanation is that socially disadvantaged groups have greater risk of diabetes because they are more likely to eat poor quality diets, an important risk factor for diabetes. If that explanation were true, then eliminating the difference in diet quality between social groups should result in elimination of the social disparity in diabetes. The differential exposure explanation assumes that the relationship between diet quality and diabetes incidence is constant across socioeconomic groups. Vinke et al., using prospective data from the Dutch Lifelines Cohort, a large population-based cohort in The Netherlands, found that the data did not support the hypothesis that socioeconomic disparities in diabetes are caused by differential exposure to poor diet. Consistent with other studies, the authors found a strong main effect of diet quality on incidence of diabetes. They also found an interaction with education in which the influence of diet quality on diabetes incidence was highly attenuated in the low education group relative to the higher education groups. That is, a high-quality diet was much less protective for those in the lowest tertile of educational attainment than for those in the highest tertile. Among individuals with a high-quality diet, those in the lowest education group had two times the incidence of diabetes as those in the highest education group. This finding is consistent with what has been called the differential vulnerability explanation for social patterning of diabetes, but in this case the more educated group is more vulnerable to the effect of the risk factor (poor diet). The less educated group appears to be more vulnerable to diabetes overall. Even when they eat a high-quality diet, their risk of diabetes remains high. The Vinke et al. study suggests that diabetes is causally overdetermined among individuals in the lowest education group. Individuals at lower levels of the social hierarchy may be exposed to a greater number of risk factors for diabetes; in the absence of poor diet, they remain exposed to other risk factors that are sufficient to cause diabetes. Importantly, this implies that a population-wide diet intervention which achieved equally high diet quality across levels of the social hierarchy may exacerbate health disparities in diabetes because it would eliminate more cases of diabetes in higher social groups than lower social groups. This paper serves as another reminder that interventions to reduce health disparities require us to address their root causes, which lie far outside the purview of medicine. Medical and behavior change interventions (such as changing dietary behavior) may have less impact for individuals at the bottom of the social hierarchy, who must cope with the structural violence of class oppression, racial discrimination and economic injustice. These upstream factors are extremely biologically threatening. Research like that of Vinke et al. serves the cause of health equity by helping to elucidate the mechanisms by which social and economic conditions breed disease. Hopefully better understanding of these mechanisms will enable scant resources to be spent in the most impactful way as we strive to achieve more equitable societies. Author's contribution EBL wrote this commentary. Declaration of competing interest The author has nothing to declare.

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          Race/ethnic difference in diabetes and diabetic complications.

          Health disparities in diabetes and its complications and comorbidities exist globally. A recent Endocrine Society Scientific Statement described the Health Disparities in several endocrine disorders, including type 2 diabetes. In this review, we summarize that statement and provide novel updates on race/ethnic differences in children and adults with type 1 diabetes, children with type 2 diabetes, and in Latino subpopulations. We also review race/ethnic differences in the epidemiology of diabetes, prediabetes, and diabetes complications and mortality in the United States and globally. Finally, we discuss biological, behavioral, social, environmental, and health system contributors to diabetes disparities to identify areas for future preventive interventions.
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            What are Health Disparities and Health Equity? We Need to Be Clear

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              Socio-economic disparities in the association of diet quality and type 2 diabetes incidence in the Dutch Lifelines cohort

              Background It is unknown whether a socio-economic difference exists in the association of diet quality with type 2 diabetes incidence, nor how diet influences the socioeconomic inequality in diabetes burden. Methods In 91,025 participants of the population-based Lifelines Cohort (aged ≥30, no diabetes or cardiovascular diseases at baseline), type 2 diabetes incidence was based on self-report, fasting glucose ≥ 7·0 mmol/l and/or HbA1c ≥ 6·5%. The evidence-based Lifelines Diet Score was calculated with data of a 110-item food frequency questionnaire. Socio-economic status (SES) was defined by educational level. Cox proportional hazards models were adjusted for age, gender, smoking, energy intake, alcohol intake and physical activity. Findings In 279,796 person-years of follow-up, 1045 diabetes cases were identified. Incidence rate was 5·7, 3·2 and 2·4 cases/1000 person-years in low, middle and high SES, respectively. Diet was associated with greater diabetes risk (HR(95%CI) in Q1 (poor diet quality) vs. Q5 (high diet quality) = 2·11 (1·70–2·62)). SES was a moderator of the association(pINTERACTION = 0·038). HRs for Q1 vs. Q5 were 1·66 (1·22–2·.27) in low, 2·76 (1·86–4·08) in middle and 2·46 (1·53–3·97) in high SES. With population attributable fractions of 14·8%, 40·1% and 37·3%, the expected number of cases/1000 person-years preventable by diet quality improvement was 0·85 in low, 1·28 in middle and 0·90 in high SES. Interpretation Diet quality improvement can potentially prevent one in three cases of type 2 diabetes, but because of a smaller impact in low SES, it will not narrow the socioeconomic health gap in diabetes burden. Funding None.
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                Author and article information

                Contributors
                Journal
                EClinicalMedicine
                EClinicalMedicine
                EClinicalMedicine
                Elsevier
                2589-5370
                17 February 2020
                February 2020
                17 February 2020
                : 19
                : 100273
                Affiliations
                [0001]Department of Preventive Medicine, Rush University Medical Center, Chicago, IL, United States
                Article
                S2589-5370(20)30017-1 100273
                10.1016/j.eclinm.2020.100273
                7031640
                32149273
                42088f2f-1ee7-41eb-87a6-1583ab446920
                © 2020 Published by Elsevier Ltd.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 21 January 2020
                : 21 January 2020
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