Social Determinants of Health and Diabetes-Related Distress in Patients with Insulin-Dependent Type 2 Diabetes: A Cross-Sectional, Mixed Methods Approach (Preprint)

Psychological distress and its impact on glycemic control in patients with diabetes, Northwest Ethiopia

Background

Diabetes distress is the emotional and mental burden of living with diabetes. It can include feelings of frustration, guilt, anxiety, and worry. Understanding the factors contributing to psychological distress and how it affects glycemic control can be crucial for improving patient outcomes. Therefore, this study investigated the association between psychological distress levels and glycemic control in patients with diabetes. It also identified factors associated with severity of psychological distress.

Methods

A multicentre cross-sectional study was conducted among patients with diabetes at selected hospitals in Northwest Ethiopia. Psychological risk distress was measured using the Kessler 10 (K10) questionnaire, validated for this population. Glycemic control was categorized as poor and good based on patients' current glucose records and following recommended guidelines. Logistic regression examined the association between psychological distress levels and glycemic control. Linear regression assessed the association between psychological distress score and other independent variables. p-value <0.05 was considered statistically significant.

Results

More than half (218, 54.2%) of the participants had severe psychological distress with a 27.4 (±4.6) mean score. Patients with moderate [AOR = 1. 85, 95% CI: 1.05-3.76] and severe [AOR = 2.84, 95% CI: 1.32-7.31] distress levels significantly had poor glycemic control compared to those with no distress. BMI [β = 0.61, 95% CI: 0.42, 71], monthly salary [β = -0.41, 95% CI: -67, -0.25], source of healthcare cost [β = -0.75, 95% CI: -2.36, -0.03], SMBG practicing [β = -0.85, 95% CI: -1.93, -0.25], lifestyle modifications [β = -1.66, 95% CI: -3.21, -0.18], number of medical conditions [β = 0.72, 95% CI: 0.57, 2.81], number of medications [β = 2.26, 95% CI: 1.05, 4.57], hypoglycaemia perception [β = 2.91, 95% CI: 1.32, 7.01], and comorbidity and/or complications [β = 3.93, 95% CI: 1.08, 6.72] were significantly associated with severity of psychological distress.

Conclusion

Most patients reported having moderate to severe psychological distress, which in turn, negatively impacted their glycemic control. Interventions incorporating mental health and psychosocial support should be implemented to relieve psychological distress and improve glycemic control.

Social Determinants of Health Associated With Metabolic Dysfunction-Associated Steatotic Liver Disease Prevalence and Severity: A Systematic Review and Meta-Analysis

INTRODUCTION

Social determinants of health (SDOHs) affect disease risk and severity leading to health disparities. SDOH impacting metabolic dysfunction-associated steatotic liver disease (MASLD) prevalence and severity are poorly characterized, and results are conflicting. The aim of this systematic review and meta-analysis was to assess the impact of individual SDOH factors on MASLD burden for adults in the United States.

METHODS

We searched MEDLINE, Embase, and Cochrane databases per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Studies from January 2010 to May 2024 were included. Quantitative studies of adults in the United States that evaluated SDOH beyond race/ethnicity were included. Outcomes included prevalence of MASLD, metabolic dysfunction-associated steatohepatitis (MASH), MASH-associated advanced fibrosis or cirrhosis, and clinical outcomes.

RESULTS

We identified 18 studies comprising 547,634 total subjects from 11 unique cohorts. Nine studies evaluated MASLD prevalence, 3 MASH prevalence, 6 MASH-associated advanced fibrosis/cirrhosis prevalence, and 9 clinical outcomes. High-diet quality was the most consistent SDOH factor associated with both MASLD and MASH-associated advanced fibrosis/cirrhosis prevalence (summarized odds ratio of 0.76, P < 0.01, and 0.74, P < 0.01, respectively). Lower income was most consistently associated with risk of clinical outcomes (significant in 3/9 studies).

DISCUSSION

Diet quality was the most consistent SDOH associated with disease prevalence and severity in MASLD, with other SDOH showing inconsistent associations. Prospective assessments using consensus, validated tools to assess the impact of specific SDOH on MASLD burden in heterogenous patient populations are needed to inform public health interventions.

Associations Between Suboptimal Social Determinants of Health and Diabetes Distress in Low-Income Patients on Medicaid

AIMS

To determine associations between suboptimal social determinants of health (SDoH) and diabetes distress in adults with diabetes on Medicaid.

METHODS

We surveyed adults with type 2 diabetes covered by Alabama Medicaid. Diabetes distress was assessed using the Diabetes Distress Scale. Suboptimal SDoH included food or housing insecurity; having < high school degree; being unemployed; and household income < $10,000/year. Unadjusted associations between individual SDoH and diabetes distress were examined using logistic regression. We also examined the association between the number of suboptimal SDoH and distress. Multivariable models controlled for age, sex, race, marital status, rurality, diabetes duration, social support, and insulin use.

RESULTS

In total, 433 patients participated (mean age, 50 years (SD 10.4); 80% female; 62% Black). Roughly 32% reported food insecurity, participants experienced a mean of 2 (SD, 0.9; range 0-5) suboptimal SDoH. There was increased odds of diabetes distress in participants who reported food insecurity (OR, 2.2; 95% CI, 1.36-3.65 and OR, 2.35; 95% CI, 1.40-3.93). For each additional suboptimal SDoH a patient experienced, they had increased odds of experiencing diabetes distress (OR, 1.50; CI, 1.15-2.01).

CONCLUSIONS

Participants with diabetes who reported food insecurity or experienced a higher number of suboptimal social determinants of health had an increased likelihood of experiencing diabetes distress.

Disparities in Diabetes Distress and Nutrition Management Among Black and Hispanic Adults: A Mixed Methods Exploration of Social Determinants

PURPOSE

The purpose of this study was to explore self-reported diabetes management strategies, social determinants of health (SDOH), and barriers to care among people with diabetes receiving care in a safety-net setting to identify factors contributing to disparities in outcomes for Black and Hispanic adults and inform future interventions.

METHODS

Sequential, explanatory, mixed methods study comprised a survey of adults with diabetes seen in primary care at a safety-net hospital in New England, followed by qualitative semistructured interviews with a subset of the Black and Hispanic respondents. Descriptive statistics, chi-square and t tests were used to analyze quantitative data. The health equity implementation framework was used to guide qualitative data collection and directed content analysis.

RESULTS

A total of 496 respondents completed the survey; 48 Black and Hispanic adults participated in interviews. Diabetes-related distress was significantly higher among Black and Hispanic participants compared to White participants. Nutrition management use was significantly lower among Black and Hispanic participants. Qualitative findings suggest that SDOH and lack of education and support, specifically, nutrition and access to self-management resources, contributed to diabetes-related distress and prevented optimal self-management.

CONCLUSIONS

High rates of diabetes-related distress and low rates of nutrition management were identified in Black and Hispanic adults in a safety-net setting. Qualitative interviews demonstrated a relationship between adverse SDOH and lack of nutrition education with diabetes distress and challenges to self-management, potentially contributing to disparities in outcomes. Findings suggest that increased uptake of nutrition therapy and self-management education and support may be critical for improving diabetes outcomes and promoting health equity.

Electronic health Literacy gaps among adults with diabetes in the United States: Role of socioeconomic and demographic factors

Background

Digital health technologies hold promises for enhancing healthcare and self-management in diabetes. However, disparities in Electronic Health Literacy (EHL) exist among diabetes populations. This study investigates EHL trends and demographic differences among adults with diabetes in the United States from 2011 to 2018.

Methods

We analyzed data from the 2011-2018 National Health Interview Study (NHIS) on 27,096 adults with diabetes. The primary outcome was EHL, determined by responses to internet usage questions. Trends in EHL were assessed using the Rao Scott Chi-Square Test. Multivariate logistic regression was used to investigate the association between EHL and various comorbidities, socioeconomic and demographic subgroups.

Results

Analytic sample (N = 27,096) represents 10.6 million adults (mean age 62.3, 52.5 % Females) in the USA surveyed between 2011 and 2018. The mean rate of EHL was 38.9 % and trended upward from 35.3 % to 46.8 % over the 2011-2018 period. In a fully adjusted logistic regression model, multiple socioeconomic factors were associated with EHL. Age was inversely associated with odds of EHL (aOR 0.95, 95 % CI: 0.95-0.95). Black individuals had lower odds of EHL compared to Whites (aOR 0.63, 95 % CI: 0.56-0.71). Low-income (<100 % and 100-200 % of federal poverty limit) were negatively associated with EHL. Furthermore, limited English proficiency was associated with lower odds of EHL (aOR 0.29, 95 % CI: 0.22-0.38).

Conclusion

The study identified ongoing disparities in EHL among adults with diabetes based on age, race/ethnicity, income, and language proficiency, highlighting the need for targeted interventions to improve digital health access for all.

An Integrative Review of Social Determinants of Glycemic Targets Achievement in Adults with Type 2 Diabetes in the United States

Several individual social determinants of health have been identified as significant factors contributing to achieving glycemic targets (glycated hemoglobin < 7). However, it remains unclear how these social variables individually or collectively contribute to glycemic targets among adults with type 2 diabetes (T2D) in the United States (U.S.) The purpose of the current integrative review (IR) was to describe and synthesize findings from studies on social determinants of glycemic target achievement in adults with T2D in the U.S. and integrate them into the United States Department of Health and Human Services Conceptual Framework. The databases searched included PubMed, CINAHL Plus with Full Text, Medline with Full Text [EBSCO], Google Scholar, bibliography, and hand searching. A total of 948 records were identified. After excluding duplicates and irrelevant studies based on inclusion and exclusion criteria through title, abstract, and full-text screening, 13 studies were finally included in this IR. The results revealed that race/ethnicity, economic access and stability, educational access and quality, healthcare access and quality, neighborhood and built environment, and social and community context contribute to glycemic target achievement among adult patients with T2D in the U.S. Integrating findings from key studies on social determinants of glycemic health may contribute to developing interventions aimed at reducing and eventually eradicating health disparities for individuals with and at risk for T2D in the U.S.

COVID-19 pandemic-related healthcare interruptions and diabetes distress: a national study of US adults with diabetes

BACKGROUND

Early COVID-19 pandemic research found changes in health care and diabetes management, as well as increased diabetes distress. This study aims to determine the association between COVID-19 pandemic-related healthcare interruptions and diabetes distress among adults with Type 1 and Type 2 diabetes in the US in 2021.

METHODS

Multinomial logistic regression was used to analyze moderate and high levels of diabetes distress (reference = no diabetes distress) in 228 individuals with Type 1 diabetes and 2534 individuals with Type 2 diabetes interviewed in the National Health Interview Survey in 2021.

RESULTS

Among adults with Type 1 diabetes, 41.2% experienced moderate diabetes distress and 19.1% experienced high diabetes distress, and among adults with Type 2 diabetes, 40.8% experienced moderate diabetes distress and 10.0% experienced high diabetes distress. In adults with Type 1 diabetes, experiencing delayed medical care was associated with an adjusted odds ratio (aOR) of 4.31 (95% CI: 1.91-9.72) for moderate diabetes distress and 3.69 (95% CI: 1.20-11.30) for high diabetes distress. In adults with Type 2 diabetes, experiencing delayed medical care was associated with an aOR of 1.61 (95% CI: 1.25-2.07) for moderate diabetes distress and 2.27 (95% CI: 1.48-3.49) for high diabetes distress. Similar associations were observed between not receiving medical care due to the pandemic and diabetes distress.

CONCLUSION

Among people with diabetes, experiencing delayed medical care and not receiving care due to the pandemic were associated with higher reports of diabetes distress.