Socioeconomic position and health among persons with diabetes mellitus: a conceptual framework and review of the literature

Factors contributing to diabetic ketoacidosis readmission in hospital settings in the United States: A scoping review

BACKGROUND

Hospitalization of patients with DKA creates a significant burden on the US healthcare system. While previous studies have identified multiple potential contributors, a comprehensive review of the factors leading to DKA readmissions within the US healthcare system has not been done. This scoping review aims to identify how access to care, treatment adherence, socioeconomic status, race, and ethnicity impact DKA readmission-related patient morbidity and mortality and contribute to the socioeconomic burden on the US healthcare system. Additionally, this study aims to integrate current recommendations to address this multifactorial issue, ultimately reducing the burden at both individual and organizational levels.

METHODS

The PRISMA-SCR (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews) was used as a reference checklist throughout this study. The Arksey and O'Malley methodology was used as a framework to guide this review. The framework methodology consisted of five steps: (1) Identify research questions; (2) Search for relevant studies; (3) Selection of studies relevant to the research questions; (4) Chart the data; (5) Collate, summarize, and report the results.

RESULTS

A total of 15 articles were retained for analysis. Among the various social factors identified, those related to sex/gender (n = 9) and age (n = 9) exhibited the highest frequency. Moreover, race and ethnicity (n = 8) was another recurrent factor that appeared in half of the studies. Economic factors were also identified in this study, with patient insurance type having the highest frequency (n = 11). Patient income had the second highest frequency (n = 6). Multiple studies identified a link between patients of a specific race/ethnicity and decreased access to treatment. Insufficient patient education around DKA treatment was noted to impact treatment accessibility. Certain recommendations for future directions were highlighted as recurrent themes across included studies and encompassed patient education, early identification of DKA risk factors, and the need for a multidisciplinary approach using community partners such as social workers and dieticians to decrease DKA readmission rates in diabetic patients.

CONCLUSION

This study can inform future policy decisions to improve the accessibility, affordability, and quality of healthcare through evidence-based interventions for patients with DM following an episode of DKA.

Homelessness and Type 2 Diabetes: A Qualitative Study of Facilitators and Barriers to Self-Management and Medication Adherence

PURPOSE

In this study, we explore the barriers and facilitators to diabetes medication adherence and self-management for people with type 2 diabetes who have experienced homelessness.

METHODS

We conducted five focus groups and two interviews with 26 participants. Our multi-disciplinary analysis team utilized principles of grounded theory and conducted thematic analysis with an inductive, iterative process to identify central themes.

RESULTS

The majority of participants identified as Black/African American and over half stayed in shelters or had no steady place to stay at enrollment. Three key themes emerged regarding medication adherence and diabetes self-management for people who have experienced homelessness: personal autonomy and security, predictability and stability, and supportive, knowledgeable relationships (both social and medical). We define personal autonomy and security as individual agency and choice when making decisions related to one's health and well-being as well as protection from risk or harm to one's physical or psychological well-being, belongings, or means of income. Predictability and stability take place through the development of a system of connections and routines built over time where individuals can reliably adopt and maintain diabetes self-management activities. Supportive, knowledgeable relationships include medical and social relationships that offer encouragement, information, and hands-on care promoting diabetes self-management and connection to clinical care and resources. Participants also highlighted a "domino effect" where a cascade of events negatively and consequently impacted their health and well-being. We describe the interactions of these themes, the intersection of structural vulnerability and individual social risks, and resulting impacts on medication adherence and diabetes self-management.

CONCLUSIONS

Our findings highlight the structural vulnerabilities impacting people experiencing homelessness and identify inflection points of opportunity at structural and individual levels to strengthen diabetes medication adherence and self-management. This understanding can inform policy change and future tailored diabetes interventions.

Early life socioeconomic inequalities and type 2 diabetes incidence: Longitudinal analyses in the Maastricht study

AIM

Type 2 diabetes (T2D) is a common chronic disease that disproportionally affects groups with a low socioeconomic position (SEP). This study aimed to examine associations between childhood SEP and incident T2D, independent of adult SEP.

METHODS

Longitudinal data from The Maastricht Study were used (N=6,727, 55.2 % female, mean (SD) age 58.7(8.7) years). Childhood SEP was determined by asking for the highest completed educational level for the father and mother and childhood income inadequacy. Adult SEP was determined by highest completed educational level, equivalent household income, and occupational position. Incident T2D was self-reported yearly (up to 12 years of follow-up). Associations were studied with Cox regression analyses.

RESULTS

In participants without T2D at baseline, 3.7% reported incident T2D over 8.2 (median) years of follow-up. Incident T2D was most common in people with low childhood and adult SEP and lowest in those with high childhood and adult SEP (1.7 vs. 7.5 per 1,000 person years). The association between childhood SEP and incident T2D was mainly explained by adult SEP, except for childhood income inadequacy which was independently associated with incident T2D.

CONCLUSION

Socioeconomic inequalities in childhood and adulthood are risk factors for incident T2D. More attention is needed to reduce childhood poverty and improve adult SEP to reduce the T2D risk.

Associations between income/employment status and diabetes care processes, health behaviors, and health outcomes in Japan: A cross-sectional study using claims data linked to a questionnaire survey

AIMS/INTRODUCTION

We aimed to explore the associations between income/employment status and diabetes care processes, health behaviors and health outcomes.

MATERIALS AND METHODS

This cross-sectional study used health insurance claims data between April 2021 and March 2022, and a questionnaire survey between December 2022 and January 2023 in Tsukuba City. The study analyzed the participants with diabetes (other than type 1) from those selected by stratified random sampling. We evaluated diabetes care processes, health behaviors and health outcomes by calculating weighted proportions among the groups. We also assessed the associations between income/employment status and these variables using multivariable modified Poisson regression models.

RESULTS

Of the 264 identified participants, 161 (64.2%) were men and 168 (72.8%) were aged ≥65 years old. Compared with the low-income groups, the high-income group had a higher proportion of sodium-glucose cotransporter 2 inhibitors or glucagon-like peptide-1 receptor agonists use (adjusted risk ratio [aRR] 1.70, 95% confidence interval (CI) 1.07-2.72), a higher proportion of attendance to annual health checkups for ≥2 years (aRR 1.68, 95% CI 1.07-2.64) and a lower proportion of all-cause hospitalization (aRR 0.15, 95% CI 0.04-0.48); additionally, the middle-income group had a lower proportion of high total outpatient medical expenses (aRR 0.57, 95% CI 0.35-0.92). Compared to the no work time group, the full-time work group had a lower proportion of exercise habits (aRR 0.59, 95% CI 0.35-0.99) and a higher proportion of good self-reported health (aRR 2.08, 95% CI 1.22-3.55).

CONCLUSIONS

Several variables were associated with income/employment status. Policy intervention should focus on high-risk groups identified by considering these associations.

Exploration of barriers and enablers to diabetes care for Aboriginal people on rural Ngarrindjeri Country

ISSUES ADDRESSED

Addressing the disproportionate burden of type 2 diabetes prevalence in Aboriginal communities is critical. Current literature on diabetes care for Aboriginal people is primarily focused on remote demographics and overwhelmingly dominated by Western biomedical models and deficit paradigms. This qualitative research project adopted a strengths-based approach to explore the barriers and enablers to diabetes care for Aboriginal people on Ngarrindjeri Country in rural South Australia.

METHODS

Knowledge Interface methodology guided the research as Aboriginal and Western research methods were drawn upon. Data collection occurred using three yarning sessions held on Ngarrindjeri Country. Yarns were transcribed and deidentified before a qualitative thematic analysis was conducted, guided by Dadirri and a constructivist approach to grounded theory.

RESULTS

A total of 15 participants attended the yarns. Major barriers identified by participants were underscored by the ongoing impacts of colonisation. This was combated by a current of survival as participants identified enablers to diabetes care, namely a history of healthy community, working at the knowledge interface, motivators for action, and an abundance of community skills and leadership.

CONCLUSIONS

Despite the raft of barriers detailed by participants throughout the diabetes care journey, Aboriginal people on Ngarrindjeri Country were found to be uniquely positioned to address diabetes prevalence and management. SO WHAT?: Health promotion efforts with Aboriginal people on Ngarrindjeri Country must acknowledge the sustained impacts of colonisation, while building on the abundance of community enablers, skills and strengths. Opportunities present to do so by adopting holistic, community-led initiatives that shift away from the dominant biomedical approach to diabetes care.

Machine Learning-Driven Prediction of Comorbidities and Mortality in Adults With Type 1 Diabetes

BACKGROUND

Comorbidities such as cardiovascular disease (CVD) and diabetic kidney disease (DKD) are major burdens of type 1 diabetes (T1D). Predicting people at high risk of developing comorbidities would enable early intervention. This study aimed to develop models incorporating socioeconomic status (SES) to predict CVD, DKD, and mortality in adults with T1D to improve early identification of comorbidities.

METHODS

Nationwide Danish registry data were used. Logistic regression models were developed to predict the development of CVD, DKD, and mortality within five years of T1D diagnosis. Features included age, sex, personal income, and education. Performance was evaluated by five-fold cross-validation with area under the receiver operating characteristic curve (AUROC) and the precision-recall area under the curve (PR-AUC). The importance of SES was assessed from feature importance plots.

RESULTS

Of the 6572 included adults (≥21 years) with T1D, 379 (6%) developed CVD, 668 (10%) developed DKD, and 921 (14%) died within the five-year follow-up. The AUROC (±SD) was 0.79 (±0.03) for CVD, 0.61 (±0.03) for DKD, and 0.87 (±0.01) for mortality. The PR-AUC was 0.18 (±0.01), 0.15 (±0.03), and 0.49 (±0.02), respectively. Based on feature importance plots, SES was the most important feature in the DKD model but had minimal impact on models for CVD and mortality.

CONCLUSIONS

The developed models showed good performance for predicting CVD and mortality, suggesting they could help in the early identification of these outcomes in individuals with T1D. The importance of SES in individual prediction within diabetes remains uncertain.

The Impact of Social Support on Health Outcomes of Diabetic Patients: A Systematic Review

Type 2 diabetes mellitus (T2DM) is a common chronic disease worldwide. The prevalence of T2DM has consistently increased over the past few decades. Factors affecting patient management of diabetes are important in preventing diabetic complications. Social support has been cited as one of the most important aspects of managing chronic conditions. This systematic review aims to consolidate the existing literature discussing the impact of social support on managing type 1 diabetes mellitus (T1DM) and T2DM. To begin our review, the Ovid MEDLINE (Medical Literature Analysis and Retrieval System Online) database was searched for all current literature on social support and diabetes health outcomes. Articles were then included and removed according to specific inclusion and exclusion criteria, and a systematic review was performed on the remaining articles. Twenty-two papers that met the inclusion and exclusion criteria were selected, and after data collection, a significant correlation was found between social support and health outcomes of diabetic patients and most articles reported that social support improves the health outcomes of diabetic patients. Studies show that there is some correlation between social support and improved health outcomes for diabetic patients. Further studies should be done to determine the exact correlations between social support and T2DM management and to explore the long-term impacts of social support on health outcomes for diabetic patients.

Education level and biologic therapy are the related factors of mucosal healing in Patients with Crohn's disease

BACKGROUND AND STUDY AIMS

Mucosal healing (MH) is a crucial indicator of therapeutic effectiveness and prognosis in Crohn's disease (CD). Rapid achievement and long-term maintenance of MH can alleviate the financial and psychological burden on patients. This study aimed to investigate the factors associated with MH in CD patients and enhance clinicians' understanding.

PATIENTS AND METHODS

Patients diagnosed with CD between January 2010 and December 2019 at our hospital were included and divided into two groups based on the attainment of MH during the follow-up period. Demographic data, symptoms, disease classification, laboratory examination results, and treatments were collected and compared between the two groups. Factors with a P-value <0.2 were subjected to multivariate logistic regression analysis to identify the related factors of MH.

RESULTS

Multivariate logistic regression analysis of CD patients revealed that educational level [odds ratio (OR) = 8.167, 95 % confidence interval (CI) 1.440-46.303, P = 0.018] and biological therapy (OR = 15.291, 95 % CI 1.404-166.543, P = 0.025) were associated with MH.

CONCLUSION

Educational level and biological therapy are factors related to MH in CD patients. These findings suggest that the use of biological therapy and patients' better understanding of the disease contribute to achieving MH.

[Determinants of avoidable hospitalization for type2 diabetes. Narrative review]

OBJECTIVE

To identify the structural and intermediate determinants associated with avoidable hospitalizations (AH) of patients with type2 diabetes mellitus (T2DM).

DESIGN

Literature review based on narrative synthesis.

DATA SOURCES

Databases: PubMed, Science Direct, and Latin American and Caribbean Literature in Health Sciences (LILACS).

STUDY SELECTION

Documents were selected and analyzed under a critical literature review, considering inclusion and exclusion criteria.

DATA EXTRACTION

Information extracted from each selected article was synthesized based on the countries' income levels and the social determinants of health framework.

RESULTS

A total of 4,166 articles were relevant, 36 were selected for review. From this selection, 21 were publications conducted in high-income countries, 14 in upper-middle-income countries, and one in lower-middle-income countries. The review identified that the coverage of health services -mainly primary health care- and health insurance contribute to reducing the risk of AH for T2DM, while social inequalities tend to increase the risk.

CONCLUSIONS

The AH due to T2DM are susceptible to reduction through policies that contribute to increasing effective access to health services (availability, insurance), since they express social inequality, occurring to a greater extent in socioeconomically vulnerable populations. This review also provides evidence of the need to expand research on this topic in middle and low-income countries.

Increase Access, Reduce Disparities: Recommendations for Modifying Medicaid CGM Coverage Eligibility Criteria

Numerous studies have demonstrated the clinical value of continuous glucose monitoring (CGM) in type 1 diabetes (T1D) and type 2 diabetes (T2D) populations. However, the eligibility criteria for CGM coverage required by the Centers for Medicare & Medicaid Services (CMS) ignore the conclusive evidence that supports CGM use in various diabetes populations that are currently deemed ineligible. In an earlier article, we discussed the limitations and inconsistencies of the agency's CGM eligibility criteria relative to current scientific evidence and proposed practice solutions to address this issue and improve the safety and care of Medicare beneficiaries with diabetes. Although Medicaid is administered through CMS, there is no consistent Medicaid policy for CGM coverage in the United States. This article presents a rationale for modifying and standardizing Medicaid CGM coverage eligibility across the United States.

Investigation of geographic disparities of diabetes-related hospitalizations in Florida using flexible spatial scan statistics: An ecological study

BACKGROUND

Hospitalizations due to diabetes complications are potentially preventable with effective management of the condition in the outpatient setting. Diabetes-related hospitalization (DRH) rates can provide valuable information about access, utilization, and efficacy of healthcare services. However, little is known about the local geographic distribution of DRH rates in Florida. Therefore, the objectives of this study were to investigate the geographic distribution of DRH rates at the ZIP code tabulation area (ZCTA) level in Florida, identify significant local clusters of high hospitalization rates, and describe characteristics of ZCTAs within the observed spatial clusters.

METHODS

Hospital discharge data from 2016 to 2019 were obtained from the Florida Agency for Health Care Administration through a Data Use Agreement with the Florida Department of Health. Raw and spatial empirical Bayes smoothed DRH rates were computed at the ZCTA level. High-rate DRH clusters were identified using Tango's flexible spatial scan statistic. Choropleth maps were used to display smoothed DRH rates and significant high-rate spatial clusters. Demographic, socioeconomic, and healthcare-related characteristics of cluster and non-cluster ZCTAs were compared using the Wilcoxon rank sum test for continuous variables and Chi-square test for categorical variables.

RESULTS

There was a total of 554,133 diabetes-related hospitalizations during the study period. The statewide DRH rate was 8.5 per 1,000 person-years, but smoothed rates at the ZCTA level ranged from 0 to 101.9. A total of 24 significant high-rate spatial clusters were identified. High-rate clusters had a higher percentage of rural ZCTAs (60.9%) than non-cluster ZCTAs (41.8%). The median percent of non-Hispanic Black residents was significantly (p < 0.0001) higher in cluster ZCTAs than in non-cluster ZCTAs. Populations of cluster ZCTAs also had significantly (p < 0.0001) lower median income and educational attainment, and higher levels of unemployment and poverty compared to the rest of the state. In addition, median percent of the population with health insurance coverage and number of primary care physicians per capita were significantly (p < 0.0001) lower in cluster ZCTAs than in non-cluster ZCTAs.

CONCLUSIONS

This study identified geographic disparities of DRH rates at the ZCTA level in Florida. The identification of high-rate DRH clusters provides useful information to guide resource allocation such that communities with the highest burdens are prioritized to reduce the observed disparities. Future research will investigate determinants of hospitalization rates to inform public health planning, resource allocation and interventions.

Income variability and incident cardiovascular disease in diabetes: a population-based cohort study

BACKGROUND AND AIMS

Longitudinal change in income is crucial in explaining cardiovascular health inequalities. However, there is limited evidence for cardiovascular disease (CVD) risk associated with income dynamics over time among individuals with type 2 diabetes (T2D).

METHODS

Using a nationally representative sample from the Korean National Health Insurance Service database, 1 528 108 adults aged 30-64 with T2D and no history of CVD were included from 2009 to 2012 (mean follow-up of 7.3 years). Using monthly health insurance premium information, income levels were assessed annually for the baseline year and the four preceding years. Income variability was defined as the intraindividual standard deviation of the percent change in income over 5 years. The primary outcome was a composite event of incident fatal and nonfatal CVD (myocardial infarction, heart failure, and stroke) using insurance claims. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated after adjusting for potential confounders.

RESULTS

High-income variability was associated with increased CVD risk (HRhighest vs. lowest quartile 1.25, 95% CI 1.22-1.27; Ptrend < .001). Individuals who experienced an income decline (4 years ago vs. baseline) had increased CVD risk, which was particularly notable when the income decreased to the lowest level (i.e. Medical Aid beneficiaries), regardless of their initial income status. Sustained low income (i.e. lowest income quartile) over 5 years was associated with increased CVD risk (HRn = 5 years vs. n = 0 years 1.38, 95% CI 1.35-1.41; Ptrend < .0001), whereas sustained high income (i.e. highest income quartile) was associated with decreased CVD risk (HRn = 5 years vs. n = 0 years 0.71, 95% CI 0.70-0.72; Ptrend < .0001). Sensitivity analyses, exploring potential mediators, such as lifestyle-related factors and obesity, supported the main results.

CONCLUSIONS

Higher income variability, income declines, and sustained low income were associated with increased CVD risk. Our findings highlight the need to better understand the mechanisms by which income dynamics impact CVD risk among individuals with T2D.

Diabetes mellitus as a cause of premature death in small areas of Spain by socioeconomic level from 2016 to 2020: A multiple-cause approach

OBJECTIVE

This study aimed to assess premature mortality due to Diabetes in small areas of Spain between 2016 and 2020, and its relationship with socioeconomic level and the immediate cause of death. As a secondary objective, we evaluated the effect of the Covid 19 pandemic.

METHODS

This was an ecological study of premature mortality due to Diabetes from 2016 to 2020, with a focus on small areas. All deaths in people under 75 years of age due to Diabetes as the underlying cause were included RESULTS: The final sample comprised 7382 premature deaths in 5967 census tracts. Women living in census tracts with an high level of deprivation(RR=2.40) were at a significantly higher risk. Mortality from Diabetes increased with deprivation, especially people aged 0-54(RR=2.40). People with an immediate cause of death related to a circulatory disease, living in census tracts with an high level of deprivation(RR=3.86) was associated with a significantly greater risk of death with underlying Diabetes. When a disease of the circulatory system was recorded as the immediate cause of death, being 65-74 years (RR=71.01) was associated with a significantly higher risk of premature mortality.

CONCLUSIONS

Living in geographic areas with higher levels of socioeconomic deprivation is associated with a higher risk of premature death from Diabetes in Spain. This relationship has a greater impact on women, people under 54 years, and people at risk of death caused directly by diseases of the circulatory system. Premature mortality due to diabetes saw a modest increase in 2020.

Assigning Responsibility for Depression and Diabetes: Frame Building Factors in Health Coverage

Although frame building is a crucial part of framing in health communication, it is much less understood than media frames or their effects on audiences (i.e. frame setting). To address this research gap, we analyzed the individual, organizational, and external factors of influence contributing to the media's portrayal of responsibility for two major health issues: depression and diabetes. To identify relevant factors, we conducted 23 semi-structured interviews with German journalists who regularly report on these health issues. Our findings indicate that the way in which media coverage portrays responsibilities in depression and diabetes is affected by a variety of factors. These include individual (journalist role perception, journalistic routines, academic background and personal experiences with depression, diabetes-related knowledge, and personal values and beliefs), organizational (editorial lines, space limits, time limitations and payment, and newsroom structures), and external (health news sources, audience interest, newsworthiness, and social norms) factors. Notably, there are differences between depression and diabetes coverage - especially regarding individual factors - confirming that frame building, similar to framing in general, should be examined with regard to specific issues. Nevertheless, some factors that seem important across different topics could be identified.

The effect of socioeconomic status, depression, and diabetes symptoms severity on diabetes patient's life satisfaction in India

Evidence suggests that diabetes is on the rise in India, affecting many people's life satisfaction. Comprehensive estimation of life satisfaction among diabetes patients does not exist in the country. This study examined the effects of socioeconomic status, depression, and diabetes symptoms severity on the life satisfaction of diabetes patients by controlling various demographic variables. It was a cross-sectional study comprising 583 diabetes patients from Punjab, India. Patients were interviewed using a multi-stage purposeful random sampling method. Descriptive analysis and partial least squares structural equation modelling were used in the study to test the hypotheses. Results revealed that socioeconomic status, depression and diabetes symptoms severity significantly influence the life satisfaction of diabetes patients. A 1% drop in diabetes symptoms severity corresponds to a 0.849% increase in life satisfaction, whereas a 1% decrease in depression results in a 0.898% increase in life satisfaction. Patients with higher diabetes symptoms severity were coping with common mental disorders. Women reported higher diabetes symptoms severity and depression than men, resulting in lower life satisfaction. An experimental evaluation of the effects of socioeconomic status, depression and diabetes symptoms severity, and numerous demographic factors on life satisfaction was reported. The findings will help policymakers understand the problem associated with life satisfaction among diabetes patients in the country.

Quality Improvement Intervention Using Social Prescribing at Discharge in a University Hospital in France: Quasi-Experimental Study

BACKGROUND

Social prescription is seen as a public health intervention tool with the potential to mitigate social determinants of health. On one side, social prescription is not yet well developed in France, where social workers usually attend to social needs, and historically, there is a deep divide between the health and social sectors. On the other side, discharge coordination is gaining attention in France as a critical tool to improve the quality of care, assessed indirectly using unplanned rehospitalization rates.

OBJECTIVE

This study aims to combine social prescription and discharge coordination to assess the need for social prescription and its effect on unplanned rehospitalization rates.

METHODS

We conducted a quasi-experimental study in two departments of medicine in a French university hospital in a disadvantaged suburb of Paris over 2 years (October 2019-October 2021). A discharge coordinator screened patients for social prescribing needs and provided services on the spot or referred the patient to the appropriate service when needed. The primary outcome was the description of the services delivered by the discharge coordinator and of its process, as well as the characteristics of the patients in terms of social needs. The secondary outcome was the comparison of unplanned rehospitalization rates after data chaining.

RESULTS

A total of 223 patients were included in the intervention arm, with recruitment being disrupted by the COVID-19 pandemic. More than two-thirds of patients (n=154, 69.1%) needed help understanding discharge information. Slightly less than half of the patients (n=98, 43.9%) seen by the discharge coordinator needed social prescribing, encompassing language, housing, health literacy, and financial issues. The social prescribing covered a large range of services, categorized into finding a general practitioner or private sector nurse, including language-matching; referral to a social worker; referral to nongovernmental organization or group activities; support for transportation issues; support for health-related administrative procedures; and support for additional appointments with nonmedical clinicians. All supports were delivered in a highly personalized way. Ethnic data collection was not legally permitted, but for 81% (n=182) of the patients, French was not the mother tongue. After data chaining, rehospitalization rates were compared between 203 patients who received the intervention (n=5, 3.1%) versus 2095 patients who did not (n=51, 2.6%), and there was no statistical difference.

CONCLUSIONS

First, our study revealed the breadth of patient's unmet social needs in our university hospital, which caters to an area where the immigrant population is high. The study also revealed the complexity of the discharge coordinator's work, who provided highly personalized support and managed to gain trust. Hospital discharge could be used in France as an opportunity in disadvantaged settings. Eventually, indicators other than the rehospitalization rate should be devised to evaluate the effect of social prescribing and discharge coordination.

Modifying effect of urban parks on socioeconomic inequalities in diabetes prevalence: a cross-sectional population study of Madrid City, Spain

BACKGROUND

Evidence has shown contradicting results on how the density of urban green spaces may reduce socioeconomic inequalities in type 2 diabetes (equigenic hypothesis). The aim of this study is to test whether socioeconomic inequalities in diabetes prevalence are modified by park density.

METHODS

We designed a population-wide cross-sectional study of all adults registered in the primary healthcare centres in the city of Madrid, Spain (n=1 305 050). We obtained georeferenced individual-level data from the Primary Care Electronic Health Records, and census-tract level data on socioeconomic status (SES) and park density. We modelled diabetes prevalence using robust Poisson regression models adjusted by age, country of origin, population density and including an interaction term with park density, stratified by gender. We used this model to estimate the Relative Index of Inequality (RII) at different park density levels.

FINDINGS

We found an overall RII of 2.90 (95% CI 2.78 to 3.02) and 4.50 (95% CI 4.28 to 4.74) in men and women, respectively, meaning that the prevalence of diabetes was three to four and a half times higher in low SES compared with high SES areas. These inequalities were wider in areas with higher park density for both men and women, with a significant interaction only for women (p=0.008).

INTERPRETATION

We found an inverse association between SES and diabetes prevalence in both men and women, with wider inequalities in areas with more parks. Future works should study the mechanisms of these findings, to facilitate the understanding of contextual factors that may mitigate diabetes inequalities.

Social deprivation and diabetic kidney disease: A European view

There is a large body of literature demonstrating a social gradient in health and increasing evidence of an association between social deprivation and diabetes complications. Diabetic kidney disease (DKD) increases mortality in people with diabetes. Socioeconomic deprivation is increasingly recognized as a modifier of risk factors for kidney disease but also an independent risk factor itself for kidney disease. This may not be truly appreciated by clinicians and warrants further attention and exploration. In this review we explore the literature to date from Europe on the relationship between social deprivation and DKD. The majority of the studies showed at least an association with microalbuminuria, an early marker of DKD, while many showed an association with overt nephropathy. This was seen across many countries in Europe using a variety of different measures of deprivation. We reviewed and considered the mechanisms by which deprivation may lead to DKD. Health related behaviors such as smoking and suboptimal control of risk factors such as hypertension, hyperglycemia and elevated body mass index (BMI) accounts for some but not all of the association. Poorer access to healthcare, health literacy, and stress are also discussed as potential mediators of the association. Addressing deprivation is difficult but starting points include targeted interventions for people living in deprived circumstances, equitable roll out of diabetes technology, and flexible outpatient clinic arrangements including virtual and community-based care.

Determinants of diabetes self-care activities in patients with type 2 diabetes based on self-determination theory

AIMS

In type 2 diabetes control, self-management is an effective way to minimize the risk of developing complications and improve the quality of life. Self-determination theory (SDT) proposed a promising explanatory framework to predict self-regulated behavior which was particularly relevant for self-management. This study aimed to investigate whether SDT constructs can affect the self-management and controlling glycated hemoglobin A1c (HbA1c) levels in type 2 diabetic patients or not.

METHODS

This cross-sectional study was conducted from August to December 2022 at two diabetes clinics in Zahedan. The study included 300 patients with type 2 diabetes. Data collection was done using a researcher-administrated questionnaire that included demographic data, diabetes self-care activities, and self-determination constructs including autonomous support, autonomous motivation, and perceived competence.

RESULTS

The mean of the overall score of self-care activities was 34.62 ± 11.86 out of a maximum of 70. Patients in the fourth quarter (wealthiest) of the socioeconomic status had the highest mean self-care score (P = 0.003). There was a significant relationship between diet score with perceived competence (P = 0.009). Perceived competence (P<0.001) and controlled self-regulation (P<0.001) were the predictors of exercise score in diabetes patients. Independent self-regulation (P<0.001, r = 0.21) and overall self-regulation (P = 0.001, r = 0.19) were significantly related to blood-glucose testing score. There was a significant relationship between foot care score with perceived competence (P = 0.048, r = 0.11) and autonomous support (P = 0.013, r = 0.14). Multiple regression showed that exercise was the predictor of HbA1c (P = 0.014).

CONCLUSION

Exercise is crucial for achieving good individualized glycemic control and reducing the risk of diabetes complications. The findings provided valuable insights into the determinants of self-care activities in patients with type 2 diabetes and underscore the need for interventions that address socioeconomic disparities, enhance perceived competence, and provide autonomy support to improve diabetes self-care.

Socioeconomic inequalities in health-related functioning among people with type 2 Diabetes: longitudinal analyses in the Maastricht Study

BACKGROUND

Type 2 diabetes mellitus (T2DM) is a common chronic disease that disproportionally affects disadvantaged groups. People with a low socioeconomic position (SEP) have increased risk of T2DM and people with a low SEP and T2DM have higher HbA1c-levels compared to people with T2DM and high SEP. The aim of this study is to analyze longitudinal socioeconomic differences in health-related functioning in people with T2DM.

METHODS

Longitudinal data from 1,537 participants of The Maastricht Study with T2DM were used (32.6% female, mean (SD) age 62.9 (7.7) years). SEP was determined by baseline measures of education, occupation and income. Health-related functioning (physical, mental and social) was measured with the Short-Form Health Survey and the Impact on Participation and Autonomy survey (all scored from 0 to 100). Associations of SEP and health-related functioning were studied annually over a 10-year period (median (IQR) 7.0 (5.0) years, baseline 2010-2018) using linear mixed methods adjusting for demographics, HbA1c-levels and lifestyle factors.

RESULTS

Participants with a low SEP had significantly worse health-related functioning compared to those with a high SEP. For example, participants with low income had lower scores for physical (-4.49[CI -5.77;-3.21]), mental (-2.61[-3.78,-1.44]) and social functioning (-9.76[-12.30;-7.23]) compared to participants with high income on a scale from 0 to 100. In addition, participants with a low education significantly declined more over time in mental (score for interaction education with time - 0.23[-0.37;-0.09]) and social functioning (-0.44[-0.77;-0.11]) compared to participants with high education. Participants with low and intermediate incomes significantly declined more over time in physical functioning (-0.17 [-0.34, -0.01 and - 0.18 [-0.36, 0.00]) compared to participants with high income.

CONCLUSIONS

Among people with T2DM, those with a lower SEP had worse health-related functioning in general than people with a higher SEP. Additionally, people with T2DM and low education developed poorer mental and social functioning over time compared to people with T2DM and high education. People with T2DM and low or intermediate income declined more in physical functioning over time than those with high incomes. In addition to HbA1c-levels and lifestyle patterns, more attention is needed for socioeconomic differences in health-related functioning for people living with T2DM.

Lack of consideration of socioeconomic factors in transition programme of adolescents with type 1 diabetes: A systematic review

The transition of adolescents with type 1 diabetes should be organized such that loss of follow-up and deterioration of patients' metabolic control are minimized.

OBJECTIVE

Our study aimed to ascertain whether socioeconomic status is featured in the characteristics of adolescents with type 1 diabetes in transition programmes and their inclusion in transition programmes.

RESEARCH DESIGN AND METHODS

A systematic review of the literature was performed according to PRISMA recommendations. All articles published between 2010 and 2023 were considered. Studies that described a transition programme for adolescents or young adults with T1DM were included.

RESULTS

After screening, 18 studies were included. Different transition programmes were proposed (exchanges between professionals, coordinators, and transition clinics). Nine articles described socio-economic factors. The educational level was the most frequently reported. Only three studies evaluated the impact of one parameter on transition success: a lower education level was associated with more hospital visits for hyperglycaemia, and the other did not report any socioeconomic factor associated with clinic attendance.

CONCLUSIONS

The socioeconomic status of type 1 diabetes is poorly described in transition programmes, and the few that do make mention of it, offer little information about patient management.

Diabetes and Hospitalizations Among Mexican Americans Aged 75 Years and Older

OBJECTIVE

To examine factors associated with hospitalization among Mexican Americans aged 75 years and older with diabetes (with and without complications) and without diabetes over 12 years of follow up.

METHODS

Participants (N = 1454) were from the Hispanic Established Population for the Epidemiologic Study of the Elderly (2004/2005-2016) residing in Arizona, California, Colorado, New Mexico, and Texas. Measures included socio-demographics, medical conditions, falls, depressive symptoms, cognitive function, disability, physician visits, and hospitalizations. Participants were categorized as no diabetes (N = 1028), diabetes without complications (N = 180), and diabetes with complications (N = 246).

RESULTS

Participants with diabetes and complications had greater odds ratio (1.56, 95% Confidence Interval = 1.23-1.98) over time of being admitted to the hospital in the prior year versus those without diabetes. Participants with diabetes had greater odds of hospitalization if they had heart failure, falls, amputation, and insulin treatment.

CONCLUSIONS

In Mexican American older adults, diabetes and diabetes-related complications increased the risk of hospitalization.

Factors associated with nonattendance at annual diabetes check-up in Ningbo, China: a case-control study

Background

Type 2 diabetes mellitus (T2DM) is a grave issue in China. The annual check-up is recommended in clinical guidelines on T2DM. It plays an important role in monitoring and managing the condition and detecting and managing any comorbidities and T2DM-related complications. However, people with T2DM may miss the annual check-up, and the benefits of this check-up are lost. Therefore, this study aimed to determine the factors associated with nonattendance at the annual T2DM check-up in Ningbo, China.

Methods

A case-control study was conducted using the Ningbo National Metabolic Management Center dataset. Cases were people with T2DM who were alive but did not attend the first annual check-up, scheduled between 1 March 2019 and 28 February 2022 (n = 1,549). Controls were people with T2DM who were alive and attended the first annual check-up during the same period (n = 1,354). The characteristics of cases and controls were compared using logistic regressions.

Results

The odds of being a female [odds ratio (OR) 1.26, 95% confidence interval (CI) 1.06-1.50], alcohol drinker (1.26, 1.06-1.49), and with glycated hemoglobin A1c (HbA1c) ≥7% (1.67, 1.42-1.97) were higher among case patients than controls. The odds of being a high school graduate (0.77, 0.66-0.89) and on standard treatments in addition to lifestyle modification (oral hypoglycemic drug 0.63, 0.42-0.96; oral hypoglycemic drug and injection therapy 0.48, 0.32-0.73) were lower among case patients than controls.

Conclusion

The factors associated with nonattendance at the annual T2DM check-up in Ningbo, China were female sex, not a high school graduate, alcohol drinker, HbA1c ≥7%, and only on lifestyle modification. The study findings should be used for improving attendance at the annual check-up among people with T2DM in Ningbo.

Investigation of predictors of severity of diabetes complications among hospitalized patients with diabetes in Florida, 2016-2019

BACKGROUND

Severe diabetes complications impact the quality of life of patients and may lead to premature deaths. However, these complications are preventable through proper glycemic control and management of risk factors. Understanding the risk factors of complications is important in guiding efforts to manage diabetes and reduce risks of its complications. Therefore, the objective of this study was to identify risk factors of severe diabetes complications among adult hospitalized patients with diabetes in Florida.

METHODS

Hospital discharge data from 2016 to 2019 were obtained from the Florida Agency for Health Care Administration through a Data Use Agreement with the Florida Department of Health. Adapted Diabetes Complications Severity Index (aDCSI) scores were computed for 1,061,140 unique adult patients with a diagnosis of diabetes. Severe complications were defined as those with an aDCSI ≥ 4. Population average models, estimated using generalized estimating equations, were used to identify individual- and area-level predictors of severe diabetes complications.

RESULTS

Non-Hispanic Black patients had the highest odds of severe diabetes complications compared to non-Hispanic White patients among both males (Odds Ratio [OR] = 1.20, 95% Confidence Interval [CI]: 1.17, 1.23) and females (OR = 1.27, 95% CI: 1.23, 1.31). Comorbidities associated with higher odds of severe complications included hypertension (OR = 2.30, 95% CI: 2.23, 2.37), hyperlipidemia (OR = 1.29, 95% CI: 1.27, 1.31), obesity (OR = 1.24, 95% CI: 1.21, 1.26) and depression (OR = 1.09, 95% CI: 1.07, 1.11), while the odds were lower for patients with a diagnosis of arthritis (OR = 0.81, 95% CI: 0.79, 0.82). Type of health insurance coverage was associated with the severity of diabetes complications, with significantly higher odds of severe complications among Medicare (OR = 1.85, 95% CI: 1.80, 1.90) and Medicaid (OR = 1.83, 95% CI: 1.77, 1.90) patients compared to those with private insurance. Residing within the least socioeconomically deprived ZIP code tabulation areas (ZCTAs) in the state had a protective effect compared to residing outside of these areas.

CONCLUSIONS

Racial, ethnic, and socioeconomic disparities in the severity of diabetes complications exist among hospitalized patients in Florida. The observed disparities likely reflect challenges to maintaining glycemic control and managing cardiovascular risk factors, particularly for patients with multiple chronic conditions. Interventions to improve diabetes management should focus on populations with disproportionately high burdens of severe complications to improve quality of life and decrease premature mortality among adult patients with diabetes in Florida.

Exploring the association between primary care efficiency and health system characteristics across European countries: a two-stage data envelopment analysis

BACKGROUND

Primary care is widely seen as a core component of resilient and sustainable health systems, yet its efficiency is not well understood and there is a lack of evidence about how primary care efficiency is associated with health system characteristics. We examine this issue through the lens of diabetes care, which has a well-established evidence base for effective treatment and has previously been used as a tracer condition to measure health system performance.

METHODS

We developed a conceptual framework to guide the analysis of primary care efficiency. Using data on 18 European countries during 2010-2016 from several international databases, we applied a two-stage data envelopment analysis to estimate (i) technical efficiency of primary care and (ii) the association between efficiency and health system characteristics.

RESULTS

Countries varied widely in terms of primary care efficiency, with efficiency scores depending on the range of population characteristics adjusted for. Higher efficiency was associated with bonus payments for the prevention and management of chronic conditions, nurse-led follow-up, and a financial incentive or requirement for patients to obtain a referral to specialist care. Conversely, lower efficiency was associated with higher rates of curative care beds and financial incentives for patients to register with a primary care provider.

CONCLUSIONS

Our results underline the importance of considering differences in population characteristics when comparing country performance on primary care efficiency. We highlight several policies that could enhance the efficiency of primary care. Improvements in data collection would enable more comprehensive assessments of primary care efficiency across countries, which in turn could more effectively inform policymaking.

Social causation, social selection, and economic selection in the health outcomes of Chinese older adults and their gender disparities

Background

The economic selection hypothesis, which argues that the initial economic situation determines both subsequent health and economic conditions, has been drawn into the debate on causation-selection issues. This study aims to construct a path model with self-rated health and depression score of older adults as health outcomes to measure and compare the social causation forces of wealth accumulation, social selection forces of adulthood health, and economic selection forces of childhood economics, and to examine their gender disparities.

Methods

Data was obtained from a sample of 19613 older adults aged 45 years or above from the 2014 life history survey and the 2015 routine follow-up survey of the China Health and Retirement Longitudinal Study. Structural equation modeling analysis was conducted employing the full information maximum likelihood estimation method.

Results

The presence of social causation, social selection, and economic selection were all statistically supported. In self-rated health, social selection forces held the dominant position, while social causation forces were comparable to economic selection forces. In depression score, social selection still exhibited stronger forces than economic selection, but social causation had forces close to social selection and greater than economic selection. The forces of the three hypotheses in self-rated health did not significantly change with gender, but social causation exerted mightier forces than economic selection within the male group, unlike the female group. The forces of economic selection in depression score were greater in females than males and no significant differences were observed among the forces of the three hypotheses in the female group.

Conclusions

Social causation, social selection, and economic selection operate simultaneously on the self-rated health and depression score of older adults. However, the force magnitudes of the three hypotheses and/or their rankings differ by health outcomes and gender.

Relationships between trauma death, disability, and geographic factors: a systematic review

OBJECTIVE

Trauma is a global health problem. The causes of trauma-related deaths are diverse and may depend in part on socioeconomic and geographical factors; however, there have been few studies addressing such relationships. The aim of this study was to investigate the relationships between trauma and geographical factors in order to support policy recommendations to reduce trauma-related deaths and disability.

METHODS

In accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we searched international and Korean databases to retrieve relevant literature published between 2000 and 2020.

RESULTS

Thirty-two studies showed a positive relationship between the outcomes of major trauma and geographical factors. The study investigated regional factors including economic factors such as size of urban areas, gross domestic product, and poverty rate, as well as hospital parameters, such as presence of trauma centers and number of hospital beds. There was a tendency toward higher mortality rates in rural and low-income areas, and most of the studies reported that the presence of trauma centers reduced trauma-related mortality rates.

CONCLUSION

Our study showed that geographic factors influence trauma outcomes. The findings suggest geographical considerations be included in care plans to reduce death and disability caused by trauma.

Bridging ethics and epidemiology: Modelling ethical standards of health equity

Health inequities are differences in health that are 'unjust'. Yet, despite competing ethical views about what counts as an 'unjust difference in health', theoretical insights from ethics have not been systematically integrated into epidemiological research. Using diabetes as an example, we explore the impact of adopting different ethical standards of health equity on population health outcomes. Specifically, we explore how the implementation of population-level weight-loss interventions using different ethical standards of equity impacts the intervention's implementation and resultant population health outcomes. We conducted a risk prediction modelling study using the nationally representative 2015-16 Canadian Community Health Survey (n = 75,044, 54% women). We used the Diabetes Population Risk Tool (DPoRT) to calculate individual-level 10-year diabetes risk. Hypothetical weight-loss interventions were modelled in individuals with overweight or obesity based on each ethical standard: 1) health sufficiency (reduce DPoRT risk below a high-risk threshold (16.5%); 2) health equality (equalize DPoRT risk to the low risk group (5%)); 3) social-health sufficiency (reduce DPoRT risk <16.5 in individuals with lower education); 4) social-health equality (equalize DPoRT risk to the level of individuals with high education). For each scenario, we calculated intervention impacts, diabetes cases prevented or delayed, and relative and absolute educational inequities in diabetes. Overall, we estimated that achieving health sufficiency (i.e., all individuals below the diabetes risk threshold) was more feasible than achieving health equality (i.e., diabetes risk equalized for all individuals), requiring smaller initial investments and fewer interventions; however, fewer diabetes cases were prevented or delayed. Further, targeting only diabetes inequalities related to education reduced the target population size and number of interventions required, but consequently resulted in even fewer diabetes cases prevented or delayed. Using diabetes as an example, we found that an explicit, ethically-informed definition of health equity is essential to guide population-level interventions that aim to reduce health inequities.

Factors Influencing Eye Screening Adherence Among Latinx Patients With Diabetes: A Qualitative Study

Purpose

Latinx populations have the highest rates of visual impairment and blindness of any ethnic group in the United States, with most cases of diabetic retinopathy remaining undiagnosed. We aimed to identify factors influencing adherence with diabetic eye screening in Latinx communities.

Methods

We conducted semistructured individual interviews with adult Latinx patients in Dane County, WI. Interviews were transcribed verbatim, translated from Spanish to English, and analyzed using QSR NVivo software. We performed both inductive open coding and deductive coding using the National Institute on Minority Health and Health Disparities Research Framework, as well as the Campbell and Egede Model.

Results

All participants (n = 20) self-identified as Latinx and were diagnosed with type 2 diabetes. The mean age was 61.5 years (range 33-79 years). Most participants were uninsured (60%), self-reported low or moderate health literacy (60%), and preferred to speak Spanish during their clinic appointments (75%). Individual-level barriers to diabetic eye screening included limited eye health literacy, lack of insurance coverage, and low self-efficacy with diabetes management. Health system-level facilitators included a recommendation to obtain eye screening from a primary care provider and the use of nonwritten forms of patient education. Community-level barriers included social isolation, concerns about inconveniencing others, machismo, and immigration status.

Conclusions

We identified several health system- and community-level factors, in addition to individual-level factors, influencing adherence with diabetic eye screening in Latinx communities.

Translational Relevance

Strategies addressing these factors may enhance the effectiveness of interventions to prevent blindness from diabetes and contribute to advancing health equity in Latinx communities.

Demographic and socioeconomic determinants of access to care: A subgroup disparity analysis using new equity-focused measurements

Disparities in healthcare access and utilization associated with demographic and socioeconomic status hinder advancement of health equity. Thus, we designed a novel equity-focused approach to quantify variations of healthcare access/utilization from the expectation in national target populations. We additionally applied survey-weighted logistic regression models, to identify factors associated with usage of a particular type of health care. To facilitate generation of analysis datasets, we built an National Health and Nutrition Examination Survey (NHANES) knowledge graph to help automate source-level dynamic analyses across different survey years and subjects' characteristics. We performed a cross-sectional subgroup disparity analysis of 2013-2018 NHANES on U.S. adults for receipt of diabetes treatments and vaccines against Hepatitis A (HAV), Hepatitis B (HBV), and Human Papilloma (HPV). Results show that in populations with hemoglobin A1c level ≥6%, patients with non-private insurance were less likely to receive newer and more beneficial antidiabetic medications; being Asian further exacerbated these disparities. For widely used drugs such as insulin, Asians experienced insignificant disparities in odds of prescription compared to White patients but received highly inadequate treatments with regard to their distribution in U.S. diabetic population. Vaccination rates were associated with some demographic/socioeconomic factors but not the others at different degrees for different diseases. For instance, while equity scores increase with rising education levels for HBV, they decrease with rising wealth levels for HPV. Among women vaccinated against HPV, minorities and poor communities usually received Cervarix while non-Hispanic White and higher-income groups received the more comprehensive Gardasil vaccine. Our study identified and quantified the impact of determinants of healthcare utilization for antidiabetic medications and vaccinations. Our new methods for semantics-aware disparity analysis of NHANES data could be readily generalized to other public health goals to support more rapid identification of disparities and development of policies, thus advancing health equity.

Diabetes Pay-for-Performance Program Participation and Dialysis Risk in Relation to Educational Attainment: A Retrospective Cohort Study

Pay-for-performance (P4P) programs for diabetes care enable the provision of comprehensive and continuous health care to diabetic patients. However, patient outcomes may be affected by the patient's educational attainment. The present retrospective cohort study aimed to examine the effects of the educational attainment of diabetic patients on participation in a P4P program in Taiwan and the risk of dialysis. The data were obtained from the National Health Insurance Research Database of Taiwan. Patients newly diagnosed with type 2 diabetes mellitus (T2DM) aged 45 years from 2002 to 2015 were enrolled and observed until the end of 2017. The effects of their educational attainment on their participation in a P4P program were examined using the Cox proportional hazards model, while the impact on their risk for dialysis was investigated using the Cox proportional hazards model. The probability of participation in the P4P program was significantly higher in subjects with a junior high school education or above than in those who were illiterate or had only attained an elementary school education. Subjects with higher educational attainment exhibited a lower risk for dialysis. Different educational levels had similar effects on reducing dialysis risk among diabetic participants in the P4P program.

Longitudinal trajectories of glycemic control among U.S. Adults with newly diagnosed diabetes

AIMS

To identify longitudinal trajectories of glycemic control among adults with newly diagnosed diabetes, overall and by diabetes type.

METHODS

We analyzed claims data from OptumLabs® Data Warehouse for 119,952 adults newly diagnosed diabetes between 2005 and 2018. We applied a novel Mixed Effects Machine Learning model to identify longitudinal trajectories of hemoglobin A1c (HbA1c) over 3 years of follow-up and used multinomial regression to characterize factors associated with each trajectory.

RESULTS

The study population was comprised of 119,952 adults with newly diagnosed diabetes, including 696 (0.58%) with type 1 diabetes. Among patients with type 1 diabetes, 52.6% were diagnosed at very high HbA1c, partially improved, but never achieved control; 32.5% were diagnosed at low HbA1c and deteriorated over time; and 14.9% had stable low HbA1c. Among patients with type 2 diabetes, 67.7% had stable low HbA1c, 14.4% were diagnosed at very high HbA1c, partially improved, but never achieved control; 10.0% were diagnosed at moderately high HbA1c and deteriorated over time; and 4.9% were diagnosed at moderately high HbA1c and improved over time.

CONCLUSIONS

Claims data identified distinct longitudinal trajectories of HbA1c after diabetes diagnosis, which can be used to anticipate challenges and individualize care plans to improve glycemic control.

The interplay between the impact of household's and children's education on the risk of type 2 diabetes and death among older adults: a Danish register-based cohort study

OBJECTIVES

This study aims to assess the association of household's and children's education on the risk of type 2 diabetes (T2D) and subsequent death.

STUDY DESIGN

Danish register-based cohort study.

METHODS

In total, 1,021,557 adults were included at their 65th birthday between 2000 and 2018. A multistate survival model was performed to estimate the association of household's and children's education on the transition between the three states: 1) 65th birthday; 2) diagnosis of T2D; and 3) all-cause death.

RESULTS

The incidence rates per 1000 person-years were 9.1 for T2D, 18.4 for death without T2D, and 45.0 for death with T2D. Compared to long household's education and children's education, long household's education combined with either short-medium children's education or no children were associated with a 1.49- (95% confidence interval [CI]: 1.44; 1.54] and 1.69-times (95% CI: 1.61;1.78) higher hazard of T2D, respectively. Short-medium household's education combined with either long children's education or no children were associated with 0.64- (95% CI: 0.62; 0.66) and 0.77-times (95% CI: 0.74; 0.79) lower hazard of T2D, respectively. Compared to long household's education and children's education, any other combination of household's and children's education was associated with higher hazards of death both without and with T2D.

CONCLUSION

Older adults living in households with long education with no children or children with short-medium education had higher hazards of T2D. Households with short-medium education and no children or children with long education were associated with lower hazards of T2D. Both household's and children's education were associated with higher hazard of death without and with T2D.

Socioeconomic aspects of incretin-based therapy

Incretin-based therapies, particularly glucagon-like peptide-1 receptor agonists (GLP-1 RAs), have demonstrated cardiovascular benefits in people with type 2 diabetes. However, socioeconomic disparities in their uptake may constrain the collective advantages offered by these medications to the broader population. In this review we examine the socioeconomic disparities in the utilisation of incretin-based therapies and discuss strategies to address these inequalities. Based on real-world evidence, the uptake of GLP-1 RAs is reduced in people who live in socioeconomically disadvantaged areas, have low income and education level, or belong to racial/ethnic minorities, even though these individuals have a greater burden of type 2 diabetes and cardiovascular disease. Contributing factors include suboptimal health insurance coverage, limited accessibility to incretin-based therapies, financial constraints, low health literacy and physician-patient barriers such as provider bias. Advocating for a reduction in the price of GLP-1 RAs is a pivotal initial step to enhance their affordability among lower socioeconomic groups and improve their value-for-money from a societal perspective. By implementing cost-effective strategies, healthcare systems can amplify the societal benefits of incretin-based therapies, alongside measures that include maximising treatment benefits in specific subpopulations while minimising harms in vulnerable individuals, increasing accessibility, enhancing health literacy and overcoming physician-patient barriers. A collaborative approach between governments, pharmaceutical companies, healthcare providers and people with diabetes is necessary for the effective implementation of these strategies to enhance the overall societal benefits of incretin-based therapies.

Socioeconomic Position and Type 2 Diabetes: The Mediating Role of Psychosocial Work Environment- the Maastricht Study

Objective: We examined the association between low socioeconomic position (SEP) and Type 2 Diabetes Mellitus (T2DM), and the mediating role of psychosocial work environment by using counterfactual mediation analysis. Methods: Data from 8,090 participants of The Maastricht Study were analysed. SEP indicators (education, income, occupation), self-reported psychosocial work stressors, (pre)diabetes by oral glucose tolerance test were measured at baseline. Incident T2DM was self-reported per annum up to 9 years. Cox regression and causal mediation analyses were performed. Results: 2.8% (N = 172) of the participants without T2DM at baseline reported incident T2DM. People with lower SEP more often had prevalent T2DM (e.g., education OR = 2.49, 95% CI: 2.16-2.87) and incident T2DM (e.g., education HR = 2.21, 95% CI: 1.53-3.20) than higher SEP. Low job control was associated with prevalent T2DM (OR = 1.44 95% CI: 1.25-1.67). Job control partially explained the association between income and prevalent T2DM (7.23%). Job demand suppressed the associations of education and occupation with prevalent T2DM. The mediation models with incident T2DM and social support were not significant. Conclusion: Socioeconomic inequalities in T2DM were present, but only a small part of it was explained by the psychosocial work environment.

Low Household Income Status and Death from Pneumonia in People with Type 2 Diabetes Mellitus: A Nationwide Study

BACKGRUOUND

We explored the risk of death from pneumonia according to cumulative duration in low household income state (LHIS) among adults with type 2 diabetes mellitus (T2DM).

METHODS

Using Korean National Health Insurance Service data (2002 to 2018), the hazards of mortality from pneumonia were analyzed according to duration in LHIS (being registered to Medical Aid) during the 5 years before baseline (0, 1-4, and 5 years) among adults with T2DM who underwent health examinations between 2009 and 2012 (n=2,503,581). Hazards of outcomes were also compared in six groups categorized by insulin use and duration in LHIS.

RESULTS

During a median 7.18 years, 12,245 deaths from pneumonia occurred. Individuals who had been exposed to LHIS had higher hazards of death from pneumonia in a dose-response manner (hazard ratio [HR], 1.726; 95% confidence interval [CI], 1.568 to 1.899 and HR, 4.686; 95% CI, 3.948 to 5.562 in those exposed for 1-4 and 5 years, respectively) compared to the non-exposed reference. Insulin users exposed for 5 years to LHIS exhibited the highest outcome hazard among six groups categorized by insulin use and duration in LHIS.

CONCLUSION

Among adults with T2DM, cumulative duration in LHIS may predict increased risks of mortality from pneumonia in a graded dose-response manner. Insulin users with the longest duration in LHIS might be the group most vulnerable to death from pneumonia among adults with T2DM.

Co-occurrence of Periodontitis and Diabetes-Related Complications

Periodontitis is a common finding among people with diabetes mellitus (DM) and has been cited as a DM complication. Whether and how periodontitis relates to other diabetes-related complications has yet to be explored. This study aims to examine the clustering of periodontitis with other diabetes-related complications and explore pathways linking diabetes-related complications with common risk factors. Using data from participants with DM across 3 cycles of the National Health and Nutrition Examination Survey (NHANES) (n = 2,429), we modeled direct and indirect pathways from risk factors to diabetes-related complications, a latent construct comprising periodontitis, cardiovascular diseases, proteinuria, and hypertension. Covariates included age, sex, socioeconomic status (SES), smoking, physical activity, healthy diet, alcohol consumption, hemoglobin A1c (HbA1c), dyslipidemia, and body mass index (BMI). Sensitivity analyses were performed considering participants with overweight/obesity and restricting the sample to individuals without DM. Periodontitis clustered with other diabetes complications, forming a latent construct dubbed diabetes-related complications. In NHANES III, higher HbA1c levels and BMI, older age, healthy diet, and regular physical activity were directly associated with the latent variable diabetes-related complications. In addition, a healthy diet and BMI had a total effect on diabetes-related complications. Although sex, smoking, dyslipidemia, and SES demonstrated no direct effect on diabetes-related complications in NHANES III, a direct effect was observed using NHANES 2011-2014 cycles. Sensitivity analysis considering participants with overweight/obesity and without DM showed consistent results. Periodontal tissue breakdown seems to co-occur with multiple diabetes-related complications and may therefore serve as a valuable screening tool for other well-known diabetes-related complications.

Age- and sex-specific hospital bed-day rates in people with and without type 2 diabetes: A territory-wide population-based cohort study of 1.5 million people in Hong Kong

BACKGROUND

Type 2 diabetes affects multiple systems. We aimed to compare age- and sex-specific rates of all-cause and cause-specific hospital bed-days between people with and without type 2 diabetes.

METHODS AND FINDINGS

Data were provided by the Hong Kong Hospital Authority. We included 1,516,508 one-to-one matched people with incident type 2 diabetes (n = 758,254) and those without diabetes during the entire follow-up period (n = 758,254) between 2002 and 2018, followed until 2019. People with type 2 diabetes and controls were matched for age at index date (±2 years), sex, and index year (±2 years). We defined hospital bed-day rate as total inpatient bed-days divided by follow-up time. We constructed negative binominal regression models to estimate hospital bed-day rate ratios (RRs) by age at diabetes diagnosis and sex. All RRs were stratified by sex and adjusted for age and index year. During a median of 7.8 years of follow-up, 60.5% (n = 459,440) of people with type 2 diabetes and 56.5% (n = 428,296) of controls had a hospital admission for any cause, with a hospital bed-day rate of 3,359 bed-days and 2,350 bed-days per 1,000 person-years, respectively. All-cause hospital bed-day rate increased with increasing age in controls, but showed a J-shaped relationship with age in people with type 2 diabetes, with 38.4% of bed-days in those diagnosed <40 years caused by mental health disorders. Type 2 diabetes was associated with increased risks for a wide range of medical conditions, with an RR of 1.75 (95% CI [confidence interval] [1.73, 1.76]; p < 0.001) for all-cause hospital bed-days in men and 1.87 (95% CI [1.85, 1.89]; p < 0.001) in women. The RRs were greater in people with diabetes diagnosed at a younger than older age and varied by sex according to medical conditions. Sex differences were most notable for a higher RR for urinary tract infection and peptic ulcer, and a lower RR for chronic kidney disease and pancreatic disease in women than men. The main limitation of the study was that young people without diabetes in the database were unlikely to be representative of those in the Hong Kong general population with potential selection bias due to inclusion of individuals in need of medical care.

CONCLUSIONS

In this study, we observed that type 2 diabetes was associated with increased risks of hospital bed-days for a wide range of medical conditions, with an excess burden of mental health disorders in people diagnosed at a young age. Age and sex differences should be considered in planning preventive and therapeutic strategies for type 2 diabetes. Effective control of risk factors with a focus on mental health disorders are urgently needed in young people with type 2 diabetes. Healthcare systems and policymakers should consider allocating adequate resources and developing strategies to meet the mental health needs of young people with type 2 diabetes, including integrating mental health services into diabetes care.

Socioeconomic inequalities in type 2 diabetes comorbidities in different population subgroups: trend analyses using German health insurance data

While socioeconomic inequalities in the prevalence and management of type 2 diabetes (T2D) are well established, little is known about whether inequalities exist in the prevalence and the temporal development of T2D comorbidities. Previous research points towards expansion of morbidity in T2D as depicted mainly by a rising trend of T2D comorbidities. Against this background, and using German claims data, this study aims to examine whether socioeconomic status (SES) inequalities exist in the rates and the temporal development of T2D comorbidities. Since previous research indicates varying risk levels for T2D prevalence in the population subgroups: working individuals, nonworking spouses and pensioners, the analyses are stratified by these three population subgroups. The study is done on a large population of statutory insured individuals with T2D in three time-periods between 2005 and 2017. Predicted probabilities of three comorbidity groups and the number of comorbidities were estimated using logistic and ordinal regression analyses among different income, education and occupation groups. Interaction analyses were applied to examine whether potential SES inequalities changed over time. The study showed that neither the cross-sectional existence, nor the temporal development of T2D comorbidities differed significantly among SES groups, ruling out SES inequalities in the prevalence and the temporal development of T2D comorbidities in Germany. In men and women of all examined population subgroups, predicted probabilities for less severe cardiovascular (CVD) comorbidities, other vascular diseases and the number of comorbidities per individual rose significantly over time regardless of SES, but little if any change took place for more severe CVD comorbidities. Another important finding is that the population subgroup of nonworking spouses had markedly higher predicted probabilities for most of the examined outcomes compared to working individuals. The study indicates that the expansion of morbidity in T2D in Germany does not appear to be SES-dependent, and applies equally to different population subgroups. Yet, the study highlights that nonworking spouses are a susceptible population subgroup that needs to be focused upon when planning and implementing T2D management interventions.

Glycemic Control and Associated Factors Among Children and Adolescents with Type 1 Diabetes Mellitus, Southwest Ethiopia

Purpose

Type 1 diabetes mellitus is the most common endocrine disorder among children and adolescents worldwide. Glycemic control is the ultimate goal of management of diabetes. Poor glycemic control is shown to be associated with complications of diabetes. Only a few studies have addressed the problem in Ethiopia, and this study aimed to determine the level of glycemic control and factors associated among children and adolescents with type 1 diabetes mellitus on follow up.

Methods

Institution based cross sectional study design was conducted on a total of 158 children and adolescents with type 1 diabetes on follow up at Jimma Medical Center from July to October 2022. Data were collected using structured questionnaire and entered into Epi Data 3.1 then exported to SPSS for analysis. Glycemic control was assessed based on glycosylated hemoglobin (HbA1c) level. Descriptive and inferential statistics were employed, and a p-value <0.05 was considered to declare statistical significance.

Results

The mean glycosylated hemoglobin of the participants was 9.67 ± 2.28%. Of the total study participants, 121 (76.6%) had poor glycemic control. In multivariable logistic regression, guardian or father as a primary caregiver [guardian (AOR=4.45, 95%, p=0.045), father (AOR=6.02, 95%, p=0.023)], minimal involvement of caregiver in insulin injection (AOR=5.39, 95%, p=0.002), poor blood glucose monitoring adherence (AOR=4.42, 95%, p=0.026), faced problems at health facility (AOR=4.42, 95%, p=0.018) and being admitted to hospital in the past 6 months (AOR=7.94, 95%, p=0.004) were the variables significantly associated with poor glycemic control.

Conclusion

Majority of children and adolescents with diabetes had poor glycemic control. Whereas, primary caregiver other than mother, minimal involvement of caregiver in insulin injection, and poor adherence to glucose monitoring were among the contributing factors for poor glycemic control. Therefore, adherence counseling and the participation of caregivers in diabetes management is recommended.

The importance of socio-economic determinants of health in the care of patients with peripheral artery disease: A narrative review from VAS

Socio-economic determinants of health (SDoH) include various nonmedical factors in the socio-economic sphere with a potentially significant impact on health outcomes. Their effects manifest through several mediators/moderators (behavioral characteristics, physical environment, psychosocial circumstances, access to care, and biological factors). Various critical covariates (age, gender/sex, race/ethnicity, culture/acculturation, and disability status) also interact. Analyzing the effects of these factors is challenging due to their enormous complexity. Although the significance of SDoH for cardiovascular diseases is well documented, research regarding their impact on peripheral artery disease (PAD) occurrence and care is less well documented. This narrative review explores to what extent SDoH are multifaceted in PAD and how they are associated with its occurrence and care. Additionally, methodological issues that may hamper this effort are addressed. Finally, the most important question, whether this association may contribute to reasonable interventions aimed at SDoH, is analyzed. This endeavor requires attention to the social context, a whole systems approach, multilevel-thinking, and a broader alliance that reaches out to more stakeholders outside the medical sphere. More research is needed to justify the power in this concept to improve PAD-related outcomes like lower extremity amputations. At the present time, some evidence, reasonable consideration, and intuitive reasoning support the implementation of various interventions in SDoH in this field.

Self-Management of Diabetes and Associated Factors among Patients Seeking Chronic Care in Tshwane, South Africa: A Facility-Based Study

The burden of diabetes continues to increase in South Africa and a significant number of diabetes patients present at public primary healthcare facilities with uncontrolled glucose. We conducted a facility-based cross-sectional study to determine the diabetes self-management practices and associated factors among out-patients in Tshwane, South Africa. An adapted validated questionnaire was used to collect data on sociodemography, diabetes knowledge, and summaries of diabetes self-management activities measured in the previous seven days, and over the last eight weeks. Data were analysed using STATA 17. A final sample of 402 diabetes out-patients was obtained (mean age: 43 ± 12 years) and over half of them were living in poor households. The mean total diabetes self-management of score was 41.5 ± 8.2, with a range of 21 to 71. Almost two thirds of patients had average self-management of diabetes, and 55% had average diabetes knowledge. Twenty-two percent of patients had uncontrolled glucose, hypertension (24%) was the common comorbidity, and diabetic neuropathy (22%) was the most common complication. Sex [male: AOR = 0.55, 95% CI: 0.34-0.90], race [Coloured: AOR = 2.84, 95% CI: 1.69-4.77 and White: AOR = 3.84, 95% CI: 1.46-10.1], marital status [divorced: AOR = 3.41, 95% CI: 1.13-10.29], social support [average: AOR = 2.51, 95% CI: 1.05-6.00 and good: AOR = 4.49, 95% CI: 1.61-7.57], body mass index [obesity: AOR = 0.31, 95% CI: 0.10-0.95], diabetes knowledge [average: AOR = 0.58, 95% CI: 0.33-0.10 and good: AOR = 1.86, 95% CI: 0.71-4.91], and uncontrolled glucose [AOR = 2.97, 95% CI: 1.47-5.98] were factors independently predictive of diabetes self-management. This study emphasizes that the self-management of diabetes was mostly on average among patients and was associated with the aforementioned factors. Innovative approaches are perhaps needed to make diabetes education more effective. Face-to-face sessions delivered generally during clinic visits should be better tailored to the individual circumstances of diabetes patients. Considerations should be given to the options of leveraging information technology to ensure the continuity of diabetes education beyond clinic visits. Additional effort is also needed to meet the self-care needs of all patients.

Gender invariance in the relationship between social support and glycemic control

BACKGROUND

Social support (SS) is important in diabetes self-management; however, little is known about how different types of SS influence diabetes outcomes in men and women with type 2 diabetes mellitus (T2DM). Therefore, the aims of this study were to investigate the relationships between types of SS and glycemic control and self-care behaviors and assess whether the relationships differ by gender.

METHODS

Cross-sectional study of 615 adults from two primary care clinics in the southeastern U.S. Outcomes were hemoglobin A1c (HbA1c) extracted from the medical records, and self-management behaviors (general diet, specific diet, exercise, blood glucose testing, foot care) measured using the Summary of Diabetes Self-Care Activities (SDSCA). Independent variable was SS (emotional/informational, tangible, affectionate, positive social interaction) measured using the Medical Outcomes Study (MOS) SS Scale. Structural equation modeling (SEM) was used to understand pathways between SS and glycemic control based on a theoretical model.

RESULTS

Tangible support was significantly associated with self-care (r = 0.16; p = 0.046) and affectionate support was marginally associated with glycemic control (r = 0.15; p = 0.08) for both men and women. Using SEM to test gender invariance, there was no statistically significant difference in the meaning of SS between men and women. However, unique invariances in responses occurred, including a stronger relationship between tangible support and self-care for women (r = 0.24; p = 0.061).

CONCLUSIONS

Of the four components of SS, tangible and affectionate support had the strongest influence on glycemic control. While affectionate support will improve glycemic control in both men and women, tangible support will improve self-care management, particularly in women.

Stories for change protocol: A randomized controlled trial of a digital storytelling intervention for Hispanic/Latino individuals with type 2 diabetes

BACKGROUND

Hispanic/Latino adults are disproportionately impacted by type 2 diabetes mellitus (T2D). The Stories for Change (S4C) Diabetes digital storytelling intervention promotes T2D self-management among Hispanic/Latino people. We describe the S4C protocol and participant baseline characteristics.

METHODS

Study eligibility criteria: Hispanic or Latino, age 18-70 years, ≥1 office visit within a year at a participating clinic, T2D diagnosis for ≥6 months, HbA1c ≥ 8%, and intention to continue care at the recruitment clinic. We used a two-group, parallel randomized controlled trial design and an intervention derived through a community-based participatory research approach. All participants received usual diabetes care and two cards describing how to engage healthcare teams and access diabetes-related resources. At baseline, the intervention group additionally viewed the 12-min, intervention video (four stories about diabetes self-management). To encourage subsequent video viewing, participants received five monthly text messages. The messages prompted them to self-rate their motivation and self-efficacy for T2D management. The control group received no additional intervention. Bilingual (English/Spanish) staff collected data at baseline, six weeks, three months, and six months including biometric measurements and a survey on diabetes self-management outcomes, theory-based measures, and the number of video views. We reviewed the number of diabetes-related appointments attended using electronic medical record data.

RESULTS

Participants (n = 451; 70% women, mean age = 53 years) had an average HbA1C ≥9%. Intervention participants reported identifying with the storytellers and engaging with the stories.

CONCLUSION

We present a digital storytelling intervention protocol that provides a template for future health promotion interventions prioritizing health disparity populations.

CLINICALTRIAL

gov#NCT03766438.

Income-related inequalities in diagnosed diabetes prevalence among US adults, 2001-2018

AIMS

The overall prevalence of diabetes has increased over the past two decades in the United States, disproportionately affecting low-income populations. We aimed to examine the trends in income-related inequalities in diabetes prevalence and to identify the contributions of determining factors.

METHODS

We estimated income-related inequalities in diagnosed diabetes during 2001-2018 among US adults aged 18 years or older using data from the National Health Interview Survey (NHIS). The concentration index was used to measure income-related inequalities in diabetes and was decomposed into contributing factors. We then examined temporal changes in diabetes inequality and contributors to those changes over time.

RESULTS

Results showed that income-related inequalities in diabetes, unfavorable to low-income groups, persisted throughout the study period. The income-related inequalities in diabetes decreased during 2001-2011 and then increased during 2011-2018. Decomposition analysis revealed that income, obesity, physical activity levels, and race/ethnicity were important contributors to inequalities in diabetes at almost all time points. Moreover, changes regarding age and income were identified as the main factors explaining changes in diabetes inequalities over time.

CONCLUSIONS

Diabetes was more prevalent in low-income populations. Our study contributes to understanding income-related diabetes inequalities and could help facilitate program development to prevent type 2 diabetes and address modifiable factors to reduce diabetes inequalities.

Sustained Low Income, Income Changes, and Risk of All-Cause Mortality in Individuals With Type 2 Diabetes: A Nationwide Population-Based Cohort Study

OBJECTIVE

There is limited evidence on the association of sustained low-income status, income changes, and all-cause mortality risk in individuals with type 2 diabetes (T2D).

RESEARCH DESIGN AND METHODS

Using the Korean Health Insurance Service database, we studied 1,923,854 adults with T2D (aged ≥30 years) without cardiovascular disease and cancer, who were enrolled from 2009 through 2012 and followed to the end of 2020 (median 10.8 years of follow-up). We defined income levels based on the amount of health insurance premiums and categorized them into quartiles, the first being the low-income group, and assessed the income status annually in the preceding 5 years. Cox proportional hazards models were used to quantify the association of low-income status and income changes with mortality, with adjustment for sociodemographic factors, comorbidities, and diabetes duration and treatment.

RESULTS

Participants who consecutively had low income showed a higher risk of mortality (hazard ratio [HR] 1.19; 95% CI 1.16-1.22), compared with those who had never been in the low-income group. This association was much stronger for consecutive recipients of Medical Aid, reflecting very-low-income status (HR 2.26; 95% CI 2.16-2.36), compared with those who had never been Medical Aid beneficiaries. Sustained low- and very-low-income status was associated with increased risk of mortality, specifically for younger adults (aged <40 years) and males. Those who experienced declines in income between the first (preceding 5 years) and the last (baseline) time points had an increased risk of mortality, regardless of baseline income status.

CONCLUSIONS

Among Korean adults with T2D, sustained low-income status and declines in income were associated with increased risk of mortality.

The Impact of the Affordable Care Act Medicaid Expansion on Acute Diabetes Complications Among Community Health Center Patients

OBJECTIVE

This study evaluates whether patients residing in expansion states have a greater increase in outpatient diagnoses of acute diabetes complications than those living in non-expansion states following the implementation of the Affordable Care Act (ACA).

METHODS

This retrospective cohort study uses electronic health records (EHR) from 10,665 non-pregnant patients, aged 19 to 64 years old who were diagnosed with diabetes in 2012 or 2013 from 347 community health centers (CHCs) across 16 states (11 expansion and 5 non-expansion states). Patients included had ≥1 outpatient ambulatory visit in each of these periods: pre-ACA: 2012 to 2013, post-ACA: 2014 to 2016, and post-ACA: 2017 to 2019. Acute diabetes-related complications were identified using International Classification Diseases (ICD-9-CM and ICD-10-CM) codes classification and could occur on or after diagnosis of diabetes. We performed difference-in-differences (DID) analysis using a generalized estimating equation to compare the change in rates of acute diabetes complications by year and by Medicaid expansion status.

RESULTS

There was a greater increase after year 2015 in visits related to abnormal blood glucose among patient living in Medicaid expansion states than in non-expansion states (2017 DID = 0.041, 95% CI = 0.027-0.056). Although both visits due to any acute diabetes complications and infection-related diabetes complications were higher among patients living in Medicaid expansion states, there was no difference in the trend overtime between expansion and non-expansion states.

CONCLUSION

We found a significantly greater rate of visits for abnormal blood glucose in patients receiving care in expansion states relative to patients in CHCs in non-expansion states starting in 2015. Additional resources for these clinics, such as the ability to provide blood glucose monitoring devices or mailed/delivered medications, could substantially benefit patients with diabetes.

Differences by race in the associations between neighborhood crime and violence and glycemic control among adults with type 2 diabetes

BACKGROUND

Limited data exist on the differential association between neighborhood characteristics such as crime and violence and diabetes outcomes by race.

OBJECTIVE

To examine racial differences in the relationship between neighborhood characteristics (crime and violence) and glycemic control in a sample of adults with type 2 diabetes (T2DM).

DESIGN

A cross-sectional study.

PARTICIPANTS

601 adults with T2DM from the Southeastern United States.

MEASUREMENTS

Outcome was glycemic control. Neighborhood violence and crime were the primary independent variable, and previously validated scales and indices were used to assess neighborhood crime and violence. Covariates included age, gender, education, marital status, income, hours of work per week, duration of diabetes, comorbidity, health status, and site of recruitment. Multiple linear regression was used to assess the relationship between neighborhood characteristics (violence and crime) and glycemic control adjusting for relevant covariates.

RESULTS

Approximately 66% of the sample population was Black with ages ranging between 49-71 years. The unadjusted mean hemoglobin A1c (HbA1c) was significantly higher for Black adults compared to White adults (8.0 ± 2.0 vs. 7.8 ± 1.6; p = 0.002). In the fully adjusted stratified model, glycemic control was significantly associated with neighborhood crime (β-coefficient: 0.36; 95% CI 0.07, 0.65) and neighborhood violence (β-coefficient: 0.14; 95% CI 0.003, 0.28) for White adults in the fully adjusted model; these relationships were not significant for Black adults.

CONCLUSION

In this sample of adults with T2DM, neighborhood crime and violence were significantly associated with glycemic control for White adults, but not for Black adults. Additional research is needed to understand perceptions of neighborhood crime and violence between White adults and Black adults with T2DM.

Socioeconomic Inequalities in the Prevalence of Non-Communicable Diseases among Older Adults in India

Understanding socioeconomic inequalities in non-communicable disease prevalence and preventive care usage can help design effective action plans for health equality programs among India's aging population. Hypertension (HTN) and diabetes mellitus (DM) are frequently used as model non-communicable diseases for research and policy purposes as these two are the most prevalent NCDs in India and are the leading causes of mortality. For this investigation, data on 31,464 older persons (aged 60 years and above) who took part in the Longitudinal Ageing Survey of India (LASI: 2017-2018) were analyzed. The concentration index was used to assess socioeconomic inequality whereas relative inequalities indices were used to compare HTN, DM, and preventive care usage between the different groups of individuals based on socioeconomic status. The study reveals that wealthy older adults in India had a higher frequency of HTN and DM than the poor elderly. Significant differences in the usage of preventive care, such as blood pressure/blood glucose monitoring, were found among people with HTN or DM. Furthermore, economic position, education, type of work, and residential status were identified as important factors for monitoring inequalities in access to preventive care for HTN and DM. Disparities in non-communicable diseases can be both a cause and an effect of inequality across social strata in India.

Adverse Childhood Experiences and Diabetes: Testing Violence and Distress Mediational Pathways in Family Medicine Patients

Type 2 diabetes mellitus (diabetes) is increasing in frequency and creating a significant burden on the United States healthcare system. Adverse childhood experiences (ACE) and interpersonal violence (IV) have been shown to have detrimental effects on mental and physical health. How ACE can influence IV as an adult and how this can influence the management of diabetes is not known. The purpose of the current study is to understand the relationship between violence and social determinants of health (SDoH), and its effect on patients with type 2 diabetes mellitus. A practiced-based research network (PBRN) of family medicine residency programs was utilized to collect cross-sectional data from seven family medicine residency program primary care clinics. In total, 581 participants with type 2 diabetes were recruited. A serial/parallel mediation model were analyzed. The majority of participants (58.3%) had a Hemoglobin A1c (HbA1c) that was not controlled. ACE was associated with an increase in Hurt-Insult-Threaten-Scream (HITS) scores, which in turn was positively associated with an increase in emotional burden, and finally, emotional burden decreased the likelihood that one's HbA1c was controlled (Effect = -.054, SE = .026 CI [-.115, -.013]). This indirect pathway remained significant even after controlling for several SDoH and gender. The impact of ACE persists into adulthood by altering behaviors that make adults more prone to experiencing family/partner violence. This in turn makes one more emotionally distressed about their diabetes, which influences how people manage their chronic condition. Family physicians should consider screening for both ACE and family/partner violence in those patients with poorly controlled diabetes.