How is neighborhood social disorganization associated with diabetes outcomes? A multilevel investigation of glycemic control and self-reported use of acute or emergency health care services

Predictors of lack of glycemic control in persons with type 2 diabetes

BACKGROUND

Professional guidelines recommend an HbA1c < 7% for most people with diabetes and < 8.5% for those with relaxed glycemic goals. However, many people with type 2 diabetes mellitus (T2DM) are unable to achieve the desired HbA1c goal. This study evaluated factors associated with lack of improvement in HbA1c over 3 years.

METHODS

All patients with T2DM treated within a major academic healthcare system during 2015-2020, who had at least one HbA1c value > 8.5% within 3 years from their last HbA1c were included in analysis. Patients were grouped as improved glycemic control (last HbA1c ≤ 8.5%) or lack of improvement (last HbA1c > 8.5%). Multivariate logistic regression analysis was performed to assess independent predictors of lack of improvement in glycemic control.

RESULTS

Out of 2,232 patients who met the inclusion criteria, 1,383 had an improvement in HbA1c while 849 did not. In the fully adjusted model, independent predictors of lack of improvement included: younger age (odds ratio, 0.89 per 1-SD [12 years]; 95% CI, 0.79-1.00), female gender (1.30, 1.08-1.56), presence of hypertension (1.29, 1.08-1.55), belonging to Black race (1.32, 1.04-1.68, White as reference), living in low income area (1.86,1.28-2.68, high income area as reference), and insurance coverage other than Medicare (1.32, 1.05-1.66). Presence of current smoking was associated with a paradoxical improvement in HbA1c (0.69, 0.47-0.99). In a subgroup analysis, comparing those with all subsequent HbA1c values > 8.5% (N = 444) to those with all subsequent HbA1c values < 8.5% (N = 341), similar factors were associated with lack of improvement, but smoking was no longer significant.

CONCLUSION

We conclude that socioeconomic factors like race, type of insurance coverage and living in low-income areas are associated with lack of improvement in HbA1c over a period of 3-years in people with T2DM. Intervention strategies focused on low-income neighborhoods need to be designed to improve diabetes management.

The role of neighborhood inequalities on diabetes prevention care: a mini-review

An emerging research niche has focused on the link between social determinants of health and diabetes mellitus, one of the most prevalent non-communicable diseases in modern society. The aim of the present mini-review is to explore and summarize current findings in this field targeting high-income countries. In the presence of disadvantaged neighborhood factors (including socioeconomic status, food environment, walkability and neighborhood aesthetics), diabetes prevention and care are affected at a multidimensional level. The vast majority of the included studies suggest that, besides individual risk factors, aggregated neighborhood inequalities should be tackled to implement effective evidence-based policies for diabetes mellitus.

Disparities in diabetes prevalence and management by race and ethnicity in the USA: defining a path forward

Type 2 diabetes disparities in the USA persist in both the prevalence of disease and diabetes-related complications. We conducted a literature review related to diabetes prevention, management, and complications across racial and ethnic groups in the USA. The objective of this review is to summarise the current understanding of diabetes disparities by examining differences between and within racial and ethnic groups and among young people (aged <18 years). We also examine the pathophysiology of diabetes as it relates to race and ethnic differences. We use a conceptual framework built on the socioecological model to categorise the causes of diabetes disparities across the lifespan looking at factors in five domains of health behaviours and social norms, public awareness, structural racism, economic development, and access to high-quality care. The range of disparities in diabetes prevalence and management in the USA calls for a community-engaged and multidisciplinary approach that must involve community partners, researchers, practitioners, health system administrators, and policy makers. We offer recommendations for each of these groups to help to promote equity in diabetes prevention and care in the USA.

Relationship between social determinants of health and clinical outcomes in adults with type 2 diabetes in Lebanon

BACKGROUND

A growing number of ethnic minority populations in the United States are from the Middle East and North Africa (MENA) region, specifically Lebanon. This region is witnessing one of the highest expected increases in diabetes prevalence. However, limited data exists on how social determinants of health impact clinical care for diabetes in this population. The aim of this study was to assess the social determinants of health and their impact on clinical outcomes in Lebanese adults with type 2 diabetes (T2DM).

METHODS

A convenience sample of Lebanese patients with T2DM was recruited from primary health care centers in Lebanon. Data on demographics and social determinants of health, including socioeconomic status, neighborhood and built environment, as well as psychosocial variables were collected. Clinical outcomes including Hemoglobin A1c (A1C), systolic (SBP) and diastolic blood pressure (DBP) were measured. Unadjusted and adjusted linear regression models were used to test for associations between the independent variables and each of the outcomes.

RESULTS

Out of the 300 adults with T2DM, 52% were men, 73% were married and 64% had an education level below high school. Results from multivariate analyses showed that food insecurity (β = 0.16, p = 0.01), owning an air conditioner (β = -0.64, p = 0.01), and commuting by walking (β = -0.93, p = 0.01) were independently associated with A1C. Predictors of DBP were male gender (β = 3.59, p = 0.03), age (β = -0.19, p = 0.005) and lack of confidence in filling medical forms (β = -4.89, p = 0.007), while male gender was the only predictor of SBP (β = 7.41, p = 0.008).

CONCLUSIONS

This is the first study to examine the relationship between social determinants of health and clinical outcomes for diabetes in the MENA region. Our findings suggest that living in an underprivileged neighborhood and built environment was significantly and independently associated with poor clinical outcomes among adults with T2DM in Lebanon. Findings from this study will inform care for immigrant populations with diabetes from the MENA region.

Compulsive immobility: Understanding the role of health on collective efficacy

Most health care approaches to understanding social ills are rooted in strain or ecological models. Strain models assume that the impact of poor physical health operates through the individual, that it is the individual suffering from poor health who engages in social ills as a means of adapting, and that the impact of poor health is rather direct and immediate. Meanwhile, ecological approaches of health acknowledge how poor health may impact others and the collective, but poorly account for the case in which this is not so, leaving unexplained the many instances of people who are in poor health but remain actively engaged with their communities and preserve relationships that nurture trust, shared norms, and cooperation. To rectify this problem, we introduce the concept of “compulsive immobility”: the situation in which those in poor health are compelled to stay indoors and refrain from community socialization. We argue that compulsive immobility mediates the relationship between poor physical health and collective efficacy, suggesting that illness, specifically to a point of physical immobility (e.g., bedridden), enables poor health to detract from collective efficacy. This allows scholars to both acknowledge how poor health may impact the individual and community, while specifying the mechanism through which it operates. To support our claim, we draw on GSS data to examine the relationship among poor health, health-related immobility, and collective efficacy. Our results provide empirical support for our argument, revealing that general health conditions influenced the level of generalized trust directly and indirectly through compulsive immobility. We conclude with suggestions on how compulsive immobility might impact neighborhood crime and propose ways through which subsequent research may refine and further test compulsive immobility as a mediator between poor health and collective efficacy.

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Build upon health and social science research by examining the indirect relationship between health and collective efficacy.

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Introduce the concept of “compulsive immobility” to elucidate the relationship between health and collective efficacy.

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Draw on GSS data to examine this relationship.

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Find support for compulsive immobility as a mediator in the relationship between health and collective efficacy.

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Conclude with suggestions for future research and refinement of compulsive immobility.

Perceived Stress as a Pathway for the Relationship Between Neighborhood Factors and Glycemic Control in Adults With Diabetes

PURPOSE

Neighborhood factors such as crime, discrimination, and violence are increasingly recognized as correlates of poor glycemic control. However, pathways for these relationships are unclear. This study examined stress and self-efficacy as potential pathways for the relationship between neighborhood factors and glycemic control in adults with type 2 diabetes.

DESIGN

Cross-sectional study.

SETTING

Two primary care clinics in southeastern US.

PARTICIPANTS

615 adults aged 18 years and older.

MEASURES

Validated measures were used to capture neighborhood factors, stress, and self-efficacy, while hemoglobin A1c (HbA1c) was abstracted from the electronic health record.

ANALYSIS

Path analysis was used to investigate direct and indirect relationships between neighborhood factors, stress, self-efficacy, and glycemic control.

RESULTS

In the final model, violence (r = .17, P = .024), discrimination (r = .46, P < .001), and crime (r = .36, P = .046) were directly associated with higher perceived stress. Stress (r = -.5, P < .001) was directly associated with lower self-efficacy. Self-efficacy was directly associated with better general diet (r = .12, P < .001), better specific diet (r = .04, P < .001), more exercise (r = .08, P < .001), and lower HbA1c (r = -.11, P < .001). Stress (r = .05, P < .001), crime (r = .20, P < .001), and discrimination (r = .08, P < .001) were indirectly associated with higher HbA1c.

CONCLUSION

Stress and self-efficacy are potential pathways for the relationship between neighborhood factors like violence, discrimination, and crime and glycemic control. Interventions aimed at mitigating stress and improving self-efficacy may improve self-care behaviors and glycemic control.

Neighborhood Factors Associated with Racial/Ethnic Disparities in Achieving Sustained HIV Viral Suppression Among Miami-Dade County Ryan White Program Clients

Racial/ethnic minorities are disproportionately affected by poor HIV care outcomes. Studies have also examined the effects of neighborhood-level factor on an individual's health outcomes. Thus, the objective of this study was to assess the effects of neighborhood factors on the association between race/ethnicity and sustained viral suppression (all viral load tests <200 copies/mL per year). Data for 6491 people with HIV in the 2017 Miami-Dade County Ryan White Program and neighborhood-level data by ZIP code tabulated areas from the American Community Survey were utilized. Multi-level logistic regression models were used to assess the role of neighborhood factors on the association between race/ethnicity and sustained viral suppression. Results show that non-Hispanic Blacks had lower odds of sustained viral suppression in low socioeconomic disadvantage [adjusted odds ratio (aOR): 0.39; 95% confidence interval (CI): 0.20-0.74], moderate residential instability (aOR: 0.31; 95% CI: 0.15-0.65), and low and high racial/language homogeneity neighborhoods (aOR: 0.38; 95% CI: 0.16-0.88) and (aOR: 0.38; 95% CI: 0.19-0.75), respectively, when compared to non-Hispanic Whites (NHWs). Haitians also exhibited poor outcomes in neighborhoods characterized by moderate residential instability (aOR: 0.42; 95% CI: 0.18-0.97) and high racial/language homogeneity (aOR: 0.49; 95% CI: 0.26-0.93), when compared to NHWs. In conclusion, disparities in rates of sustained viral suppression were observed for racial/ethnic minorities within various neighborhood-level factors. These findings indicate the importance of addressing neighborhood characteristics to achieve optimal care for minorities.

A Pharmacist and Health Coach-Delivered Mobile Health Intervention for Type 2 Diabetes: Protocol for a Randomized Controlled Crossover Study

BACKGROUND

Aggressive management of blood glucose, blood pressure, and cholesterol through medication and lifestyle adherence is necessary to minimize the adverse health outcomes of type 2 diabetes. However, numerous psychosocial and environmental barriers to adherence prevent low-income, urban, and ethnic minority populations from achieving their management goals, resulting in diabetes complications. Health coaches working with clinical pharmacists represent a promising strategy for addressing common diabetes management barriers. Mobile health (mHealth) tools may further enhance their ability to support vulnerable minority populations in diabetes management.

OBJECTIVE

The aim of this study is to evaluate the impact of an mHealth clinical pharmacist and health coach-delivered intervention on hemoglobin A1c (HbA1c, primary outcome), blood pressure, and low-density lipoprotein (secondary outcomes) in African-Americans and Latinos with poorly controlled type 2 diabetes.

METHODS

A 2-year, randomized controlled crossover study will evaluate the effectiveness of an mHealth diabetes intervention delivered by a health coach and clinical pharmacist team compared with usual care. All patients will receive 1 year of team intervention, including lifestyle and medication support delivered in the home with videoconferencing and text messages. All patients will also receive 1 year of usual care without team intervention and no home visits. The order of the conditions received will be randomized. Our recruitment goal is 220 urban African-American or Latino adults with uncontrolled type 2 diabetes (HbA1c ≥8%) receiving care from a largely minority-serving, urban academic medical center. The intervention includes the following: health coaches supporting patients through home visits, phone calls, and text messaging and clinical pharmacists supporting patients through videoconferences facilitated by health coaches. Data collection includes physiologic (HbA1c, blood pressure, weight, and lipid profile) and survey measures (medication adherence, diabetes-related behaviors, and quality of life). Data collection during the second year of study will determine the maintenance of any physiological improvement among participants receiving the intervention during the first year.

RESULTS

Participant enrollment began in March 2017. We have recruited 221 patients. Intervention delivery and data collection will continue until November 2021. The results are expected to be published by May 2022.

CONCLUSIONS

This is among the first trials to incorporate health coaches, clinical pharmacists, and mHealth technologies to increase access to diabetes support among urban African-Americans and Latinos to achieve therapeutic goals.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/17170.

Individual and Community Social Determinants of Health Associated With Diabetes Management in a Mexican American Population

Background: Diabetes is a major health burden in Mexican American populations, especially among those in the Lower Rio Grande Valley (LRGV) in the border region of Texas. Understanding the roles that social determinants of health (SDOH) play in diabetes management programs, both at the individual and community level, may inform future intervention strategies.

Methods: This study performed a secondary data analysis on 1,568 individuals who participated in Salud y Vida (SyV), a local diabetes and chronic disease management program, between October 2013 and September 2018 recruited from a local clinic. The primary outcome was the reduction of hemoglobin A1C (HbA1C) at the last follow-up visit compared to the baseline. In addition to age, gender, insurance status, education level and marital status, we also investigated 15 community (census tract) SDOH using the American Community Survey. Because of the high correlation in the community SDOH, we developed the community-level indices representing different domains. Using Bayesian multilevel spatial models that account for the geographic dependency, we were able to simultaneously investigate the individual- and community-level SDOH that may impact HbA1C reduction.

Results: After accounting for the diabetes self-management education classes taken by the participants and their length of stay in the program, we found that older age at baseline, being married (compared to being widowed or divorced) and English speaking (compared to Spanish) were significantly associated with greater HbA1C reduction. Moreover, we found that the community level SDOH were also highly associated with HbA1C reduction. With every percentile rank decrease in the socioeconomic advantage index, we estimated an additional 0.018% reduction in HbA1C [95% CI (−0.028, −0.007)]. Besides the socioeconomic advantage index, urban core opportunity and immigrant's cohesion and accessibility indices were also statistically associated with HbA1C reduction.

Conclusion: To our knowledge, our study is the first to utilize Bayesian multilevel spatial models and simultaneously investigate both individual- and community-level SDOH in the context of diabetes management. Our findings suggest that community SDOH play an important role in diabetes control and management, and the need to consider community and neighborhood context in future interventions programs to maximize their overall effectiveness.

Socio-economic differences in cardiovascular disease risk factor prevalence in people with type 2 diabetes in Scotland: a cross-sectional study

AIM

To describe the association between socio-economic status and prevalence of key cardiovascular risk factors in people with type 2 diabetes in Scotland.

METHODS

A cross-sectional study of 264 011 people with type 2 diabetes in Scotland in 2016 identified from the population-based diabetes register. Socio-economic status was defined using quintiles of the area-based Scottish Index of Multiple Deprivation (SIMD) with quintile (Q)1 and Q5 used to identify the most- and least-deprived fifths of the population, respectively. Logistic regression models adjusted for age, sex, health board, history of cardiovascular disease and duration of diabetes were used to estimate odds ratios (ORs) for Q1 compared with Q5 for each risk factor.

RESULTS

The mean (sd) age of the study population was 66.7 (12.8) years, 56% were men, 24% were in Q1 and 15% were in Q5. Crude prevalence in Q1/Q5 was 24%/8.8% for smoking, 62%/49% for BMI ≥ 30 kg/m² , 44%/40% for HbA_1c ≥ 58 mmol/mol (7.5%), 31%/31% for systolic blood pressure (SBP) ≥ 140 mmHg, and 24%/25% for total cholesterol ≥ 5 mmol/l, respectively. ORs [95% confidence intervals (CI)] were 3.08 (2.95-3.21) for current smoking, 1.48 (1.44-1.52) for BMI ≥ 30 kg/m² , 1.11 (1.08-1.15) for HbA_1c ≥ 58 mmol/mol (7.5%), 1.03 (1.00-1.06) for SBP ≥ 140 mmHg and 0.87 (0.84-0.90) for total cholesterol ≥ 5 mmol/l.

CONCLUSIONS

Socio-economic deprivation is associated with higher prevalence of smoking, BMI ≥ 30 kg/m² and HbA_1c ≥ 58 mmol/mol (7.5%), and lower prevalence of total cholesterol ≥ 5 mmol/l among people with type 2 diabetes in Scotland. Effective approaches to reducing inequalities are required as well as reducing risk factor prevalence across the whole population.

The Longitudinal Influence of Social Determinants of Health on Glycemic Control in Elderly Adults With Diabetes

OBJECTIVE

This study aimed to understand the longitudinal relationship between financial, psychosocial, and neighborhood social determinants and glycemic control (HbA1c) in older adults with diabetes.

RESEARCH DESIGN AND METHODS

Data from 2,662 individuals with self-reported diabetes who participated in the Health and Retirement Study (HRS) were used. Participants were followed from 2006 through 2014. Financial hardship, psychosocial, and neighborhood-level social determinant factors were based on validated surveys from the biennial core interview and RAND data sets. All social determinant factors and measurements of HbA1c from the time period were used and treated as time varying in analyses. SAS PROC GLIMMIX was used to fit a series of hierarchical linear mixed models. Models controlled for nonindependence among the repeated observations using a random intercept and treating each individual participant as a random factor. Survey methods were used to apply HRS weighting.

RESULTS

Before adjustment for demographics, difficulty paying bills (β = 0.18 [95% CI 0.02, 0.24]) and medication cost nonadherence (0.15 [0.01, 0.29]) were independently associated with increasing HbA1c over time, and social cohesion (-0.05 [-0.10, -0.001]) was independently associated with decreasing HbA1c over time. After adjusting for both demographics and comorbidity count, difficulty paying bills (0.13 [0.03, 0.24]) and religiosity (0.04 [0.001, 0.08]) were independently associated with increasing HbA1c over time.

CONCLUSIONS

Using a longitudinal cohort of older adults with diabetes, this study found that financial hardship factors, such as difficulty paying bills, were more consistently associated with worsening glycemic control over time than psychosocial and neighborhood factors.