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

Impact of social determinants of health on outcomes for type 2 diabetes: a systematic review

Social determinants of health include the social and economic conditions that influence health status. Research into the impact of social determinants on individuals with type 2 diabetes has largely focused on the prevention of or risk of developing diabetes. No review exists summarizing the impact of social determinants of health outcomes in patients with type 2 diabetes. This systematic review examined whether social determinants of health have an impact on health outcomes in type 2 diabetes. Medline was searched for articles that (a) were published in English (b) targeted adults, ages 18 + years, (c) had a study population which was diagnosed with type 2 diabetes, (d) the study was done in the United States, and (e) the study measured at least one of the outcome measures-glycemic control, cholesterol (LDL), blood pressure, quality of life or cost. Using a reproducible strategy, 2,110 articles were identified, and 61 were reviewed based on inclusion criteria. Twelve were categorized as Economic Stability and Education, 17 were categorized as Social and Community Context, 28 were categorized as Health and Health Care, and three were categorized as Neighborhood and Built Environment. Based on the studies reviewed, social determinants have an impact on glycemic control, LDL, and blood pressure to varying degrees. The impact on cost and quality of life was not often measured, but when quality of life was investigated, it did show significance. More research is needed to better characterize the direct impact of social determinants of health on health outcomes in diabetes.

Relationship between socioeconomic status and type 2 diabetes: results from Korea National Health and Nutrition Examination Survey (KNHANES) 2010-2012

OBJECTIVE

To examine the relationship between socioeconomic status (SES) and type 2 diabetes using the Korea National Health and Nutrition Examination Survey (KNHANES) 2010-2012.

DESIGN

A pooled sample cross-sectional study.

SETTING

A nationally representative population survey data.

PARTICIPANTS

A total of 14,330 individuals who participated in the KNHANES 2010-2012 were included in our analysis.

PRIMARY OUTCOME

Prevalence of type 2 diabetes.

RESULTS

The relationship between SES and type 2 diabetes was assessed using logistic regression after adjusting for covariates including age, gender, marital status, region, body mass index, physical activity, smoking and high-risk drinking behaviour. After adjustment for covariates, our results indicated that individuals with the lowest income were more likely to have type 2 diabetes than those with the highest income (OR 1.35; 95% CI 1.08 to 1.72). In addition, lower educational attainment was an independent factor for a higher prevalence of type 2 diabetes in Korea.

CONCLUSIONS

These findings suggest the need for developing a health policy to ameliorate socioeconomic inequalities, in particular income and education-related disparities in type 2 diabetes, along with risk factors at the individual level. In addition, future investigations of type 2 diabetes among Koreans should pay more attention to the social determinants of diabetes in order to understand the various causes of the condition.

Socioeconomic factors and effect of evidence-based patient information about primary prevention of type 2 diabetes mellitus--are there interactions?

BACKGROUND

Having shown in a recent randomized controlled trial that evidence-based patient information (EBPI) significantly increased knowledge on primary prevention of diabetes compared to standard patient information, we now investigated interaction between socioeconomic status (SES) and the effect of an EBPI.

FINDINGS

1,120 visitors (aged 40-70 years, without known diabetes) to the "Techniker Krankenkasse" and the "German Diabetes Center" websites were randomized. The intervention group received a newly developed on-line EBPI, the control group standard on-line information. The primary outcome measure was knowledge, classified as "good/average/poor". We analyzed associations of knowledge with socioeconomic variables (education, vocational training, employment, subjective social status) combined with intervention effect including interactions, adjusted for possible confounding by knowledge before intervention, self-reported blood glucose measurements, blood pressure, blood lipid levels, age and gender. Logistic regression models were fitted to the subpopulation (n = 647) with complete values in these variables.Education (high vs. low) was significantly associated with knowledge (good vs. average/poor); however, there was no significant interaction between education and intervention. After adjustment, the other socioeconomic variables were not significantly associated with knowledge.

CONCLUSIONS

Socioeconomic variables did not significantly change the effect of the intervention. There was a tendency towards a lower effect where lower educated individuals were concerned. Possibly the power was too low to detect interaction effects. Larger studies using SES-specific designs are needed to clarify the effect of SES. We suggest considering the socioeconomic status when evaluating a decision aid, e.g. an EBPI, to ensure its effectiveness not only in higher socioeconomic groups.

TRIAL REGISTRATION

Current Controlled Trials ISRCTN22060616 (Date assigned: 12 September 2008).

Awareness, treatment, control of diabetes mellitus and the risk factors: survey results from northeast China

BACKGROUND

The awareness, treatment and control of diabetes mellitus (DM) can effectively reflect on the social status of diabetes conditions. Although several researchers have investigated the awareness, treatment and control rates of diabetes mellitus in China, little is known about their association with risk factors. This study aims to examine the relationship between risk factors and awareness, treatment and control of diabetes mellitus in northeast China.

METHODS

A cross-sectional survey was conducted in 2012. Multistage stratified random cluster sampling design was used to select participants aged 18 to 79 years old. The analysis was based on a representative sample of 1,854 adult subjects. Multivariable logistic regression analysis was used to examine socio-demographic factors associated with the levels of awareness, treatment and control of diabetes mellitus.

RESULTS

The awareness, treatment, and control rates of diabetes mellitus were 64.1%, 52.9% and 44.2%, respectively. In the multivariable logistic regression analysis, family history of diabetes was significantly positively associated with awareness (OR, 2.145; 95% CI, 1.600-2.875) and treatment (OR, 2.021; 95% CI, 1.559-2.619) of diabetes mellitus, while negatively associated with control (OR, 0.671; 95% CI, 0.529-0.951). Cigarette smokers and alcohol drinkers were less likely than non-smokers and non-drinkers to be aware of their blood glucose levels (OR, 0.895, 0.614; 95% CI, 0.659-1.216, 0.446-0.844, respectively). Participants who frequently exercise were more likely to be aware of their diabetic conditions than people who never or rarely exercise (OR, 2.003; 95% CI, 1.513-2.651).

CONCLUSIONS

We found that the awareness and treatment of diabetes mellitus were positively associated with age and were high in participants with a family history of diabetes and those who exercise frequently, but low for cigarette smokers and alcohol drinkers. Participants with a family history of diabetes had their diabetic condition poorly controlled.

Factors associated with a diabetes diagnosis and late diabetes diagnosis for males and females

Aims

To examine the factors associated with diabetes, a late diabetes diagnosis, and whether these factors are different for males and females.

Methods

Cross-sectional study including 7101 individuals aged ≥25 years in Newfoundland and Labrador, Canada (466 with diabetes; 332 diagnosed late). Logistic regression analysis was used to determine the factors associated with a diabetes diagnosis and late diabetes diagnosis.

Results

For males, overweight/obesity (HR, 1.35; 95% CI, 1.06-1.72) was positively associated with diabetes while being a regular/occasional drinker (HR, 0.53; 95% CI, 0.32-0.88) was inversely associated with diabetes. Living in a rural area (HR, 1.47; 95% CI, 1.01-2.15), receiving social assistance (HR, 2.80; 95% CI, 1.52-5.15), having poor self perceived health (HR, 2.06; 95% CI, 1.32-3.21), and considering most days stressful (HR, 1.45; 95% CI, 1.01-2.10) were positively associated with diabetes for females. No factors were significantly associated with a late diabetes diagnosis for males. Having a low education (OR, 0.33; 95% CI, 0.11-0.99) was inversely associated with a late diabetes diagnosis for females.

Conclusions

Different factors are associated with diabetes for males and females. Disadvantaged females appear to be at the greatest risk. The factors associated with a late diabetes diagnosis were also different for males and females. Females with lower education levels are diagnosed with diabetes earlier than females with higher education levels. Certain risk factors appear to impact males and females differently and more research is needed on how males and females develop diabetes and when they are diagnosed.

Inequalities in health care among patients with type 2 diabetes by individual socio-economic status (SES) and regional deprivation: a systematic literature review

Introduction

Quality of care could be influenced by individual socio-economic status (SES) and by residential area deprivation. The objective is to synthesize the current evidence regarding inequalities in health care for patients with Type 2 diabetes mellitus (Type 2 DM).

Methods

The systematic review focuses on inequalities concerning process (e.g. measurement of HbA1c, i.e. glycolised haemoglobin) and intermediate outcome indicators (e.g. HbA1c level) of Type 2 diabetes care. In total, of n = 886 publications screened, n = 21 met the inclusion criteria.

Results

A wide variety of definitions for ‘good quality diabetes care’, regional deprivation and individual SES was observed. Despite differences in research approaches, there is a trend towards worse health care for patients with low SES, concerning both process of care and intermediate outcome indicators. Patients living in deprived areas less often achieve glycaemic control targets, tend to have higher blood pressure (BP) and worse lipid profile control.

Conclusion

The available evidence clearly points to the fact that socio-economic inequalities in diabetes care do exist. Low individual SES and residential area deprivation are often associated with worse process indicators and worse intermediate outcomes, resulting in higher risks of microvascular and macrovascular complications. These inequalities exist across different health care systems. Recommendations for further research are provided.

Association between socioeconomic status, type 2 diabetes and its chronic complications in Argentina

AIM

To compare the socioeconomic status (SES) of people with type 2 diabetes (T2DM) in Argentina (Córdoba) with and without major chronic complications of diabetes, with that recorded in persons without diabetes matched by age and gender.

METHODS

For this descriptive and analytic case-control study, potential candidates were identified from the electronic records of one institution of the Social Security System of the city of Córdoba. We identified and recruited 387 persons each with T2DM with or without chronic complications and 774 gender- and age-matched persons without T2DM (recruitment rate, 83%). Data were obtained by telephone interviews and supplemented with data from the institution's records. Group comparisons were performed with parametric or non-parametric tests as appropriate. We used ordinary least squares to regress household income and the difference between income and household expenses on diabetes status, age, sex, education and body mass index.

RESULTS

Persons with T2DM, particularly those with complications, reported fewer years of general education (13.6±4.2 years vs. 12.2±4.4 years), a lower percentage of full time jobs (43.0% vs. 26.9%), lower salaries and monthly household income among those with full-time jobs (> 5000 ARG$: 52.6% vs. 24.5%), and a higher propensity to spend more money than they earned (expenditure/income ratio≥1: 10.2% vs. 16.0%). The percentage of unmarried people was also higher among people with type 2 diabetes (7.0% vs. 10.9%).

CONCLUSION

T2DM and the development of its complications are each positively associated with lower SES and greater economic distress in Argentina.

Low socioeconomic status is associated with increased risk for hypoglycemia in diabetes patients: the Diabetes Study of Northern California (DISTANCE)

BACKGROUND

Social risk factors for hypoglycemia are not well understood.

METHODS

Cross-sectional analysis from the DISTANCE study, a multi-language, ethnically-stratified random sample of adults in the Kaiser Permanente Northern California diabetes registry, conducted in 2005-2006 (response rate 62%). Exposures were income and educational attainment; outcome was patient report of severe hypoglycemia. To test the association, we used multivariable logistic regression to adjust for demographic and clinical factors.

RESULTS

14,357 patients were included. Reports of severe hypoglycemia were common (11%), and higher in low-income vs. high-income (16% vs. 8.8) and low-education vs. high-education (11.9% vs. 8.9%) groups. In multivariable analysis, incomes of less than $15,000 (OR 1.51 95%CI 1.19-1.91), $15,000-$24,999 (OR 1.57 95%CI 1.27-1.94), and high school or less education (OR 1.42, 95% CI 1.24-1.63) were associated with increased hypoglycemia, similar to insulin use (OR 1.44 95%CI 1.19-1.74).

CONCLUSIONS

Low income and educational attainment are important risk factors for hypoglycemia.

Clustering of cardiometabolic risk factors and risk of elevated HbA1c in non-Hispanic White, non-Hispanic Black and Mexican-American adults with type 2 diabetes

AIM

To determine which cardiometabolic risk factors and clusters of cardiometabolic risk factors that are mostly associated with elevated HbA1c in non-Hispanic White (NHW), non-Hispanic Black (NHB) and Mexican-American (MA) adults who have type 2 diabetes.

METHODS

Data (n=2910) from the United States National Health and Nutritional Examination Surveys were used in this study. Elevated HbA1c was defined as having HbA1c value was 7% or greater. Race/ethnicity-specific associations of individual and clustered (2-5 factors) cardiometabolic risk factors with elevated HbA1c were determined using prevalence odds ratio from multivariate logistic regression analyses. Statistical adjustments were made for sex, age, education, income and marital status.

RESULTS

Joint occurrence of abdominal obesity, high blood pressure, and elevated triglycerides and joint occurrence of high blood pressure, elevated triglycerides and low HDL were more highly associated with elevated odds of HbA1c compared to other cardiometabolic risk factors joint occurrences. Joint occurrences of abdominal obesity, high blood pressure, and elevated triglycerides was associated with 2.3 (95% CI: 1.2-3.3), 9.1 (95% CI: 2.9-28.7) and 4.8 (95% CI: 2.0-11.5) increased odds of elevated HbA1c in NHW, NHB and MA, respectively. The corresponding values for the joint occurrence of high blood pressure, elevated triglycerides and low HDL was associated with 2.4 (95% CI: 1.2-3.7), 3.5 (95% CI: 1.1-5.5) and 2.6 (95% CI: 1.5-4.7) increased odds of elevated HbA1c in NHW, NHB and MA, respectively.

CONCLUSION

This finding calls for consideration of cardiovascular risk factor clustering in deciding medical therapies to optimize glycemic control in individuals with type 2 diabetes. Interventions designed to achieve glycemic control coupled with modification of cardiometabolic risk factors may be crucial in alleviating sequelae resulting from type 2 diabetes.

Race/ethnicity, educational attainment, and pregnancy complications in New York City women with pre-existing diabetes

BACKGROUND

More women are entering pregnancy with pre-existing diabetes. Disease severity, glycaemic control, and predictors of pregnancy complications may differ by race/ethnicity or educational attainment, leading to differences in adverse pregnancy outcomes.

METHODS

We used linked New York City hospital record and birth certificate data for 6291 singleton births among women with pre-existing diabetes between 1995 and 2003. We defined maternal race/ethnicity as non-Hispanic white, non-Hispanic black, Hispanic, South Asian, and East Asian, and education level as <12, 12, and >12 years. Our outcomes were pre-eclampsia, preterm birth (PTB) (<37 weeks gestation and categorised as spontaneous or medically indicated), as well as small-for-gestational age (SGA) and large-for-gestational age (LGA). Using multivariable binomial regression, we estimated the risk ratios for pre-eclampsia, SGA, and LGA. We used multivariable multinomial regression to estimate odds ratios (OR) for PTB.

RESULTS

Compared with non-Hispanic white women with pre-existing diabetes, non-Hispanic black and Hispanic women with pre-existing diabetes had a 1.50-fold increased risk of pre-eclampsia compared with non-Hispanic whites with pre-existing diabetes, after full adjustment. Non-Hispanic black and Hispanic women with pre-existing diabetes had adjusted ORs of 1.72 [adj. 95% confidence interval (CI) 1.38, 2.15] and 1.65 [adj.95% CI 1.32, 2.05], respectively, for medically indicated PTB. South Asian women with pre-existing diabetes had the highest risk for having an SGA infant [adj. OR: 2.29; adj. 95% CI 1.73, 3.03]. East Asian ethnicity was not associated with these pregnancy complications.

CONCLUSIONS

Non-Hispanic black, Hispanic, and South Asian women with pre-existing diabetes may benefit from targeted interventions to improve pregnancy outcomes.

Area level deprivation is an independent determinant of prevalent type 2 diabetes and obesity at the national level in Germany. Results from the National Telephone Health Interview Surveys 'German Health Update' GEDA 2009 and 2010

Objective

There is increasing evidence that prevention programmes for type 2 diabetes mellitus (T2DM) and obesity need to consider individual and regional risk factors. Our objective is to assess the independent association of area level deprivation with T2DM and obesity controlling for individual risk factors in a large study covering the whole of Germany.

Methods

We combined data from two consecutive waves of the national health interview survey ‘GEDA’ conducted by the Robert Koch Institute in 2009 and 2010. Data collection was based on computer-assisted telephone interviews. After exclusion of participants <30 years of age and those with missing responses, we included n = 33,690 participants in our analyses. The outcome variables were the 12-month prevalence of known T2DM and the prevalence of obesity (BMI ≥30 kg/m²). We also controlled for age, sex, BMI, smoking, sport, living with a partner and education. Area level deprivation of the districts was defined by the German Index of Multiple Deprivation. Logistic multilevel regression models were performed using the software SAS 9.2.

Results

Of all men and women living in the most deprived areas, 8.6% had T2DM and 16.9% were obese (least deprived areas: 5.8% for T2DM and 13.7% for obesity). For women, higher area level deprivation and lower educational level were both independently associated with higher T2DM and obesity prevalence [highest area level deprivation: OR 1.28 (95% CI: 1.05–1.55) for T2DM and OR 1.28 (95% CI: 1.10–1.49) for obesity]. For men, a similar association was only found for obesity [OR 1.20 (95% CI: 1.02–1.41)], but not for T2DM.

Conclusion

Area level deprivation is an independent, important determinant of T2DM and obesity prevalence in Germany. Identifying and targeting specific area-based risk factors should be considered an essential public health issue relevant to increasing the effectiveness of diabetes and obesity prevention.

Social and behavioral risk marker clustering associated with biological risk factors for coronary heart disease: NHANES 2001-2004

BACKGROUND

Social and behavioral risk markers (e.g., physical activity, diet, smoking, and socioeconomic position) cluster; however, little is known whether clustering is associated with coronary heart disease (CHD) risk. Objectives were to determine if sociobehavioral clustering is associated with biological CHD risk factors (total cholesterol, HDL cholesterol, systolic blood pressure, body mass index, waist circumference, and diabetes) and whether associations are independent of individual clustering components.

METHODS

Participants included 4,305 males and 4,673 females aged ≥ 20 years from NHANES 2001-2004. Sociobehavioral Risk Marker Index (SRI) included a summary score of physical activity, fruit/vegetable consumption, smoking, and educational attainment. Regression analyses evaluated associations of SRI with aforementioned biological CHD risk factors. Receiver operator curve analyses assessed independent predictive ability of SRI.

RESULTS

Healthful clustering (SRI = 0) was associated with improved biological CHD risk factor levels in 5 of 6 risk factors in females and 2 of 6 risk factors in males. Adding SRI to models containing age, race, and individual SRI components did not improve C-statistics.

CONCLUSIONS

Findings suggest that healthful sociobehavioral risk marker clustering is associated with favorable CHD risk factor levels, particularly in females. These findings should inform social ecological interventions that consider health impacts of addressing social and behavioral risk factors.

Objectively recorded physical activity and the association with gestational diabetes

The aim of this population-based study was to assess the association between objectively recorded physical activity (PA) in early gestation and gestational diabetes mellitus (GDM) identified at 28 weeks of gestation in a multi-ethnic cohort of healthy pregnant women in Oslo, Norway. In total, 759 women were included. In early gestation (<20 weeks), light-, moderate-, and vigorous-intensity PA and number of steps were objectively recorded (SenseWear™ Armband Pro3), and self-reported PA, demographics, and anthropometrics were collected. The 75-g oral glucose tolerance test was performed at 28 weeks of gestation. Women with GDM had fewer objectively recorded steps (mean 7964 steps/day vs 8879 steps/day, P < 0.001) and minutes of moderate-to-vigorous-intensity PA (median 62 min/day vs 75 min/day, P = 0.004) in early gestation than women without GDM. Additionally, 30% of women with GDM compared with 44% (P < 0.001) of women without GDM self-reported regular PA before pregnancy. The significant inverse association between objectively recorded steps per day in early gestation and GDM persisted after adjustment for ethnic origin, weeks of gestation, age, parity, pre-pregnancy BMI, early life socioeconomic position, and self-reported regular PA before pregnancy. The adjusted odds ratio for GDM decreased 19% per standard deviation (3159 steps) increase in objectively recorded steps per day (P = 0.039). Daily life PA in early gestation measured as steps/day was associated with lower risk of GDM.

Independent effects of socioeconomic and psychological social determinants of health on self-care and outcomes in Type 2 diabetes

OBJECTIVE

The purpose of this study was to investigate the independent effects of socioeconomic and psychological social determinants of health on diabetes knowledge, self-care, diabetes outcomes and quality of life.

RESEARCH DESIGN AND METHODS

Cross-sectional sample of 615 adults from two adult primary care clinics in the southeastern United States. Primary outcome variables were diabetes knowledge, self-care behaviors (diet, exercise, medication adherence, blood sugar testing, foot care) and diabetes outcomes (HbA1c, low-density lipoprotein, blood pressure, physical component summary score of SF12 quality of life, mental component summary score of SF12 quality of life). Covariates included age, sex, race/ethnicity, marital status, health literacy and comorbidity. Linear regression models were used to assess independent associations controlling for covariates.

RESULTS

In final adjusted models, significant associations for HbA1c included education [β = -0.72, 95% confidence interval (CI): -1.36 to -0.08], income (β = -0.66, CI: -1.30 to -0.16), self-efficacy (β = -0.12, CI: -0.15 to -0.08) and diabetes distress (β = 0.43, CI: 0.14 to 0.72). Significant associations for self-care included medication adherence with diabetes distress (β = -0.58, CI: -0.91 to -0.25) and perceived stress (β = -0.12, CI: -0.18 to -0.05) and exercise with depression (β = -0.06, CI: -0.10 to -0.01) and self-efficacy (β = 0.06, CI: 0.01 to 0.10). Significant associations for quality of life included depression (β = -0.08, CI: -0.12 to -0.03), serious psychological distress (β = -0.09, CI: -0.12 to -0.05), social support (β = 0.01, CI: 0.001 to 0.02) and perceived stress (β = -0.12, CI: -0.19 to -0.06).

CONCLUSIONS

Social determinants of health were significantly associated with diabetes self-care and outcomes with socioeconomic factors being most often associated with diabetes outcomes and psychological factors, specifically self-efficacy and perceived stress being most often associated with self-care and quality of life.

‘It still leaves me sixty dollars out of pocket’: experiences of diabetes medical care among low-income earners in Perth

Diabetes prevalence is increasing in Australia, and there are stark inequities in prevalence and clinical outcomes experienced by Indigenous people and low socioeconomic groups compared with non-Indigenous and socioeconomically advantaged groups. This paper explores the impact of Indigenous status and socioeconomic disadvantage on the experience of diabetes care in the primary health setting. Data were collected through focus groups and interviews. The sample, comprising 38 participants (Indigenous and non-Indigenous), was recruited from disadvantaged areas in Perth, Australia. Data analysis was mainly deductive and based on a conceptual framework for the relationship between socioeconomic position and diabetes health outcomes. Most participants reported accessing general practitioners regularly; however, evidence of access to dietitians and podiatrists was very limited. Perceived need, cost, lack of information on available services and previous negative experiences influenced health care-seeking behaviour. Complexity and lack of coordination characterised the model of care reported by most participants. In contrast, Indigenous participants accessing an Aboriginal community-controlled health organisation reported a more accessible and coordinated experience of care. Our analysis suggests that Indigenous and socioeconomically disadvantaged people tailor their health care-seeking behaviour to the limitations imposed by their income and disadvantaged circumstances. To reduce inequities in care experiences, diabetes services in primary care need to be accessible and responsive to the needs of such groups in the community.

Understanding the social factors that contribute to diabetes: a means to informing health care and social policies for the chronically ill

Social determinants of health are the conditions in which individuals are born, grow, live, work, and age. Increasingly, they are being recognized for their relationship to the soaring incidence of Type 2 diabetes in the US, as well as the opportunities they present for us to counter it. Many current Type 2 diabetes interventions focus on biologic and behavioral factors, such as symptoms, diet, and physical activity. However, it is equally important to address the influence of physical and social environments, which may include low income, employment insecurity, low educational attainment, and poor living conditions, on health outcomes. Section 4302 of the Patient Protection and Affordable Care Act of 2010 offers an opportunity to improve data collection and policy development to more effectively identify populations at high risk for developing Type 2 diabetes and to proactively refer them to appropriate social support services that may ultimately support reduction of health disparities. Expanding the scope of this legislation to include data that incorporate social determinants would improve the ability of clinicians and health systems to engage and to treat patients with chronic conditions, such as Type 2 diabetes, while expanding policymakers' ability to conform to the legislation's intent of shaping efforts to reduce chronic conditions nationwide.

Associations between race, lifecourse socioeconomic position and prevalence of diabetes among US women and men: results from a population-based panel study

BACKGROUND

Few studies have examined the degree to which racial disparities in the development of diabetes are accounted by differences in lifecourse socioeconomic position (SEP). We assessed the association between race, lifecourse SEP measures and prevalence of diabetes in a representative US sample of black and white adults.

METHODS

A generalised estimating equations approach was used with a sample of 3497 adults from the Americans' Changing Lives study. Sex-specific models were calculated to compute prevalence ratios (PR) for associations of race and SEP with self-reported diagnoses of diabetes.

RESULTS

For men, childhood and adult SEP were unrelated to diabetes, and adjustment for lifecourse SEP had little effect on the excess diabetes in blacks (PR=1.56, 95% CI 1.11 to 2.21). Adjustment for measures of lifecourse SEP reduced the PR for the association between race and diabetes in women from 1.96 (95% CI 1.52 to 2.54) to 1.40 (95% CI 1.04 to 1.87) with the respondent's education responsible for most of the reduction in the association. However, diabetes was also inversely associated with father's education, and low SEP throughout the lifecourse was associated with a nearly threefold increase in diabetes (PR=2.89, 95% CI 2.10 to 3.99).

CONCLUSIONS

Racial disparities in diabetes existed among both men and women, but lifecourse SEP was related to diabetes only among women. The pathway and cumulative hypotheses for lifecourse SEP effects on diabetes may be especially salient for women.

Costs and beliefs: understanding individual- and neighborhood-level correlates of medication nonadherence among Mexican Americans with type 2 diabetes

OBJECTIVE

High rates of medication nonadherence observed in disadvantaged populations are often attributed to socioeconomic factors. Little is known, however, about how a person's neighborhood environment may contribute to nonadherence beyond what can be explained by a lack of individual resources to pay for medications. This study considered the reasons patients reported for deviating from their medication regimens to understand how individual-level and neighborhood-level indicators of socioeconomic status (SES) may each influence adherence behavior.

METHOD

Cross-sectional data were collected between 2006 and 2011 from a sample of Mexican American patients with type 2 diabetes (N = 749) treated at university-affiliated clinics in Southern California. Measures included individual-level SES (years of education, health insurance type, and household income), neighborhood deprivation, and medication nonadherence (for reasons related to cost and reasons related to beliefs about medications). Neighborhood deprivation was assessed using the Neighborhood Socioeconomic Status Index (Dubowitz et al., 2011), a validated aggregate of census tract-level indicators linked to each participant's home address.

RESULTS

RESULTS from multilevel logistic regression models revealed that individual-level SES was associated with nonadherence related to cost (annual household income < $20,000 vs. > $40,000, p = .001; Medicare vs. commercial health insurance, p < .001), whereas neighborhood deprivation was associated with nonadherence related to beliefs about medications (p = .011).

CONCLUSION

Findings from this study suggest that an individual's lack of resources may contribute to nonadherence related to cost, whereas elements of the broader social environment may promote nonadherence related to negative beliefs about medications.

Social epidemiology of diabetes and associated conditions

Research focusing on the social determinants of diabetes has focused on individual-level factors such as health behaviors, socioeconomic status, and depression. Fewer studies that incorporate a broader consideration of the multiple contexts or organizational levels (eg, family, health care setting, neighborhood) within which individuals are embedded exist in the mainstream diabetes literature. Such an approach would enhance our understanding of this complex disease, and thus, future avenues of research should consider the following: (1) a life-course approach, which examines the influence of early life exposures on the development of diabetes; (2) aiming to understand the biological mechanisms of social determinants of diabetes; and (3) implementing interventions on multiple levels. Integrating this multilevel and life-course approach will require transdisciplinary science that brings together highly specialized expertise from multiple disciplines. Broadening the study of social determinants is a necessary step toward improving the prevention and treatment of type 2 diabetes.

Beyond Income, Access, and Knowledge

Objective: While the education gradient in prevention of chronic conditions is well documented, contributing factors remain underexplored. The contribution of income, knowledge and management of illness, market prices, cognitive ability, ability to act, perception about the future, and psychosocial constraints to the education gradient in prevention is examined. Methods: To solve problems of unobservable factors that influence prevention and illness severity, we estimate the role of each component of the education gradient on prevention using data on diabetes and hypertension from five Latin American countries. Results: Overall, these components explain 50% to 70% of the education gradient in prevention, with income being the most important. Discussion: Cognitive ability and ability to act capture an important part of the education gradient in prevention whereas knowledge about illness explains little. Medicine individualized to patients’ cognitive ability and ability to act could improve adherence to prevention protocols among patients with chronic conditions.

Children's glycemic control: mother's knowledge and socioeconomic status

The present study was designed to examine the role of socioeconomic status (SES) of the mother's knowledge about different aspects of diabetes and the glycemic control of type 1 children with diabetes. Samples were taken from successive admissions to the outpatient diabetes clinics in Prince Sultan Medical Military City (PSMMC), Riyadh, Saudi Arabia. A well designed questionnaire covering different aspects including demographic data, educational background, and socioeconomic status of the care providers was used to collect information from mothers of type 1 diabetes mellitus (T1DM) children. The questionnaire was designed on the basis of the Michigan diabetes knowledge scale and also on the basis of food habits of Saudi Arabia and it was validated. The questionnaire was completed after interviewing the mothers during visits to the PSMMC hospital. Every mother was asked with those particular questions. Glycemic control was assessed by glycosylated haemoglobin (HbA1c). The socio-demographic data of mothers was recorded by self-report. It was found that, there was significant variation in the knowledge of diabetes among mothers with different ages (P 0.05). No significant results were observed between family income and diabetes knowledge (p>0.05).However, a positive relationship was observed with higher income and higher knowledge. There was a significant association between mothers knowledge of diabetes and HbA1C level (r = -0.1739, p.<0.05) indicating that, higher knowledge ultimately leads to greater control of HbA1c level. A significant association was also observed between education and HbA1c level (r=-02538, p<0.05) with children of mothers with higher level of education showing a better control of glycated haemoglobin levels. However, no significant association was found between monthly family income and HbA1C level. In conclusion, the current study illustrated that, mothers with more knowledge of diabetes and with better education were maintaining a better glycemic control of their children, irrespective of the socio-economic status. It was found that, to improve glycemic control and to decrease acute and chronic complications of diabetes in children, mother's knowledge and education is needed.

How do life-course trajectories of socioeconomic position affect quality of life in patients with diabetes mellitus?

PURPOSE

This study evaluated the association of life-course economic trajectory with health-related quality of life in patients with diabetes mellitus.

METHODS

The study subjects were 183 outpatients over 20 years of age with diabetes mellitus. A questionnaire was administered to collect information about current and childhood economic status, and health-related quality of life was assessed through the 12-item short-form health survey (SF-12). Economic trajectory was categorized into five groups according to the change between current and childhood economic status. The mental component summary score and physical component summary score of the SF-12 were compared with average scores for the US population due to lack of domestic data.

RESULTS

Physical health-related quality of life was more likely to be affected by current economic status than by economic position in childhood. On the other hand, mental health-related quality of life was associated not only with the self-rated economic status (p = 0.01) but also socioeconomic trajectory (p = 0.04), even after controlling for potential confounding factors. These results suggest that early economic status may affect mental health throughout one's lifetime.

CONCLUSIONS

Economic status and trajectory throughout life may influence health-related quality of life in patients with diabetes mellitus.

Relative effect of socio-economic status on the health-related quality of life in type 2 diabetic patients in Iran

INTRODUCTION AND AIMS

Type II diabetes mellitus (T2DM) is a progressing epidemic and a major cause of mortality and morbidity worldwide. The quality of life (QoL) of diabetic patients has been strongly influenced by socioeconomic status (SES) in developed countries. Therefore, the QoL improvement is considered to be a major goal in diabetes control program. In this context, there is no reliable evidence for developing countries. In this study, the relative association of SES with health-related quality of life (HRQoL) was assessed in patients with T2DM in Iran.

METHOD

The "Cost estimation of Type 2 Diabetes in Iran" was used for secondary data analysis. The socio-economic status has been assessed by Categorical principal component analysis (CATPCA) techniques and HRQoL, using EQ-5D Visual Analog Scale, modified for digit preferences. Age, gender, education, occupation, SES, marital status, residency, education (T2DM related), diagnostic methods, number of annual care, type of treatment and Duration of disease awareness were used as independent variables in the multivariable linear regression model. Statistical analysis was performed using Stata software version 11.2.

RESULTS

The response rate was 88.6%. Out of 3472 patients, 2128 were female and about 78.7% were from urban areas. All variables associated with T2DM were significant at the level of 0.05 except, the type of treatment, residency and education. Standardized regression coefficient for SES was estimated as 0.106 (p-value<0.0001).

CONCLUSION

It seems that the SES of households in developing countries has a meaningful effect on the HRQoL of patients with T2DM as well as developed countries.

Reducing racial/ethnic disparities in diabetes: the Coached Care (R2D2C2) project

BACKGROUND

Despite numerous efforts to change healthcare delivery, the profile of disparities in diabetes care and outcomes has not changed substantially over the past decade.

OBJECTIVE

To understand potential contributors to disparities in diabetes care and glycemic control.

DESIGN

Cross sectional analysis.

SETTING

Seven outpatient clinics affiliated with an academic medical center.

PATIENTS

Adult patients with type 2 diabetes who were Mexican American, Vietnamese American or non-Hispanic white (n = 1,484).

MEASUREMENTS

Glycemic control was measured as hemoglobin A1c (HbA1c) level. Patient, provider and system characteristics included demographic characteristics; access to care; quality of process of care including clinical inertia; quality of interpersonal care; illness burden; mastery (diabetes management confidence, passivity); and adherence to treatment.

RESULTS

Unadjusted HbA1c values were significantly higher for Mexican American patients (n = 782) (mean = 8.3 % [SD:2.1]) compared with non-Hispanic whites (n = 389) (mean = 7.1 % [SD:1.4]). There were no significant differences in HbA1c values between Vietnamese American and non-Hispanic white patients. There were no statistically significant group differences in glycemic control after adjustment for multiple measures of access, and quality of process and interpersonal care. Disease management mastery and adherence to treatment were related to glycemic control for all patients, independent of race/ethnicity.

LIMITATIONS

Generalizability to other minorities or to patients with poorer access to care may be limited.

CONCLUSIONS

The complex interplay among patient, physician and system characteristics contributed to disparities in HbA1c between Mexican American and non-Hispanic white patients. In contrast, Vietnamese American patients achieved HbA1c levels comparable to non-Hispanic whites and adjustment for numerous characteristics failed to identify confounders that could have masked disparities in this subgroup. Disease management mastery appeared to be an important contributor to glycemic control for all patient subgroups.

Cardiovascular complications and mortality after diabetes diagnosis for South Asian and Chinese patients: a population-based cohort study

OBJECTIVE

Many non-European ethnic groups have an increased risk for diabetes; however, the published literature demonstrates considerable uncertainty about the rates of diabetes complications among minority populations. The objective of this study was to determine the risks of cardiovascular complications and of mortality after diabetes diagnosis for South Asian and Chinese patients, compared with European patients.

RESEARCH DESIGN AND METHODS

A population-based cohort study identified all 491,243 adults with newly diagnosed diabetes in Ontario, Canada, between April 2002 and March 2009. Subjects were followed until March 2011 for the first occurrence of any cardiovascular complication of diabetes (coronary artery disease, stroke, or lower-extremity amputation) and for all-cause mortality. Median follow-up was 4.7 years.

RESULTS

The crude incidence of cardiovascular complications after diabetes diagnosis was 17.9 per 1,000 patient-years among European patients, 12.0 among South Asian patients, and 7.7 among Chinese patients. After adjusting for baseline characteristics, the cause-specific hazard ratios (HRs) for cardiovascular complications relative to European patients were 0.95 (95% CI 0.90-1.00; P = 0.056) and 0.50 (0.46-0.53; P < 0.001) for South Asian and Chinese patients, respectively. Mortality was lower for both minority groups (adjusted HR for South Asian patients 0.56 [95% CI 0.52-0.60]; P < 0.001; for Chinese patients 0.58 [0.55-0.62]; P < 0.001).

CONCLUSIONS

Chinese patients were at substantially lower risk than European patients for cardiovascular complications after diabetes diagnosis, whereas South Asian patients were at comparable risk. Mortality after diabetes diagnosis was markedly lower for both minority populations.

Using spatial analysis to predict health care use at the local level: a case study of type 2 diabetes medication use and its association with demographic change and socioeconomic status

Local health status and health care use may be negatively influenced by low local socio-economic profile, population decline and population ageing. To support the need for targeted local health care, we explored spatial patterns of type 2 diabetes mellitus (T2DM) drug use at local level and determined its association with local demographic, socio-economic and access to care variables. We assessed spatial variability in these associations. We estimated the five-year prevalence of T2DM drug use (2005-2009) in persons aged 45 years and older at four-digit postal code level using the University of Groningen pharmacy database IADB.nl. Statistics Netherlands supplied data on potential predictor variables. We assessed spatial clustering, correlations and estimated a multiple linear regression model and a geographically weighted regression (GWR) model. Prevalence of T2DM medicine use ranged from 2.0% to 25.4%. The regression model included the extent of population ageing, proportion of social welfare/benefits, proportion of low incomes and proportion of pensioners, all significant positive predictors of local T2DM drug use. The GWR model demonstrated considerable spatial variability in the association between T2DM drug use and above predictors and was more accurate. The findings demonstrate the added value of spatial analysis in predicting health care use at local level.

Type 2 diabetes, socioeconomic status and risk of cancer in Scotland 2001-2007

AIMS/HYPOTHESIS

The objective of this study was to use Scottish national data to assess the influence of type 2 diabetes on the risk of cancer at 16 different sites, while specifically investigating the role of confounding by socioeconomic status in the diabetes-cancer relationship.

METHODS

All people in Scotland aged 55-79 years diagnosed with any of the cancers of interest during the period 2001-2007 were identified and classified by the presence/absence of co-morbid type 2 diabetes. The influence of diabetes on cancer risk for each site was assessed via Poisson regression, initially with adjustment for age only, then adjusted for both age and socioeconomic status.

RESULTS

There were 4,285 incident cancers in people with type 2 diabetes. RR for any cancers (adjusted for age only) was 1.11 (95% CI 1.05, 1.17) for men and 1.33 (1.28, 1.40) for women. Corresponding values after additional adjustment for socioeconomic status were 1.10 (1.04, 1.15) and 1.31 (1.25, 1.38), respectively. RRs for individual cancer sites varied markedly.

CONCLUSIONS/INTERPRETATION

Socioeconomic status was found to have little influence on the association between type 2 diabetes and cancer.

Peer coaching to improve diabetes self-management: which patients benefit most?

BACKGROUND

Peer health coaching is an effective method of enhancing self-management support in patients with diabetes. It is unclear whether peer health coaching is equally beneficial to all patients with poor glycemic control, or is most effective for subgroups of patients.

OBJECTIVE

To examine whether the effect of peer health coaching on hemoglobin A1c (A1c) is modified by characteristics that are known to be associated with diabetes control.

DESIGN

Sub-group analyses of randomized control trial.

PARTICIPANTS

Two hundred and ninety nine patients with diabetes receiving care in public health clinics who participated in a randomized controlled trial of peer health coaches.

MAIN MEASURES

We examined whether the association between study group and change in A1c was modified by differences in patients' demographic, behavioral or psychosocial characteristics. Analyses were adjusted for co-variables associated with change in A1c.

KEY RESULTS

The effect of coaching on patient A1c was modified by patients' level of self-management and degree of medication adherence as baseline (p=.02, and p=.03 respectively in adjusted models). For participants with "low" self-management (one standard deviation below the mean score), the usual care group experienced a slight increase in A1c (0.3 %), while the health coaching group experienced a decrease (-0.9 %). For participants with "high" self-management (one standard deviation above the mean score), both groups experienced a similar decrease in A1c (usual care group: -1.0 %; health coaching group: -1.1 %). Participants with "low" medication adherence in the usual care group experienced an increase in A1c (0.5 %), while the health coaching group experienced a decrease (-0.8 %). Participants with "high" medication adherence experienced similar decreases (usual care group: -1.1 %; health coaching group: -1.3 %).

CONCLUSION

Peer health coaching had a larger effect on lowering A1c in patients with low levels of medication adherence and self-management support than in patients with higher levels. Peer health coaching interventions may be most effective if targeted to high-risk patients with diabetes with poor glycemic control and with poor self-management and medication adherence.

Socioeconomic status and gender affects utilization of Medical Nutrition Therapy

AIMS

To identify socioeconomic status and gender inequalities in long and short-term Medical Nutrition Therapy among Israeli adult patients with diabetes.

METHODS

An analysis of data was performed on 90,900 patients over the age of 18 who were registered as patients with diabetes mellitus in Maccabi Healthcare Service Register which is the second largest health maintenance organization in Israel. Socioeconomic Rank for each patient was determined from the Israel Central Bureau of Statistics by geographical area of residence. Medical Nutrition Therapy was defined by the number of visits with registered dietitians. Short-term therapy was defined as one visit and long term therapy as two or more visits during the previous two years. Newly diagnosed patients were compared with veteran patients.

RESULTS

Only 25.8% of the patients with diabetes received nutrition therapy during the previous two years. Newly diagnosed patients received therapy more frequently than veterans. We found that long term therapy was positively dependent on socioeconomic rank. Women under the age of seventy five had a higher chance of receiving therapy compared to men.

CONCLUSIONS

A nationwide nutritional counseling service is available and accessible to all patients with diabetes. However, the patients with higher socioeconomic rank have a higher rate of persistence with long-term nutritional therapy.

Self-monitoring among non-insulin treated patients with type 2 diabetes mellitus: Patients' behavioural responses to readings and associations with glycaemic control

AIM

To investigate self-monitoring of blood glucose (SMBG) behaviour among non-insulin treated patients with type 2 diabetes mellitus, and to evaluate associations with glycaemic control.

METHODS

Eligible patients in 23 GP practices in Tayside, Scotland, were identified (18-75 years, no insulin treatment, SMBG reagent strips dispensed in 2009). Consenting patients were administered questionnaires addressing SMBG behaviour: these primary data were record-linked to clinical data (including HbA1c) from a validated population-based diabetes clinical information system, then anonymised.

RESULTS

Among 629 eligible patients, 207 were interviewed and analysed. Mean SMBG reagent strips dispensed in 12 months was 268. In response to a perceived high test result, 80 (38.8%) patients took no action or simply checked later with most of them (61.3%) indicating they did not know what action to take. Of the 126 (61.2%) patients who took some action, 101 made changes to diet, 12 increased physical activity, 10 made changes to medication and 12 mad a HCP appointment. A high score on a Diabetes Knowledge Test was a statistically significant predictor of taking action (odds ratio: 2.07). However, neither taking action nor increased SMBG frequency was associated with improved glycaemic control.

CONCLUSIONS

Responding to SMBG test results and increased testing frequency were not associated with improved glycaemic control in the short-term. There is a lack of knowledge surrounding SMBG in non-insulin treated patients.

Changes in metabolic profiles after the Great East Japan Earthquake: a retrospective observational study

Background

A magnitude 9.0 earthquake struck off eastern Japan in March 2011. Many survivors have been living in temporary houses provided by the local government since they lost their houses as a result of the great tsunami (tsunami group) or the expected high-dose radiation resulting from the nuclear accident at the Fukushima Daiichi Nuclear Power Plant (radiation group). The tsunami was more than 9 m high in Soma, Fukushima, which is located 30 km north of the Fukushima Daiichi Nuclear Power Plant and adjacent to the mandatory evacuation area. A health screening program was held for the evacuees in Soma in September 2011. The aim of this study was to compare the metabolic profiles of the evacuees before and after the disaster. We hypothesized that the evacuees would experience deteriorated metabolic status based on previous reports of natural disasters.

Methods

Data on 200 subjects who attended a health screening program in September or October of 2010 (pre-quake) and 2011 (post-quake) were retrospectively reviewed and included in this study. Pre-quake and post-quake results of physical examinations and laboratory tests were compared in the tsunami and radiation groups. A multivariate regression model was used to determine pre-quake predictive factors for elevation of hemoglobin A1c (HbA1c) in the tsunami group.

Results

Significantly higher values of body weight, body mass index, waist circumference, and HbA1c and lower high-density lipoprotein cholesterol levels were found at the post-quake screening when compared with the pre-quake levels (p = 0.004, p = 0.03, p = 0.008, p < 0.001, and p = 0.03, respectively). A significantly higher proportion of subjects in the tsunami group with high HbA1c, defined as ≥5.7%, was observed after the quake (34.3%) than before the quake (14.8%) (p < 0.001). Regional factors, periodic clinic visits, and waist circumference before the quake were identified as predictive factors on multivariate analysis for the deterioration of HbA1c.

Conclusions

Post-quake metabolic variables were impaired compared with pre-quake baseline levels in survivors who were living in temporary houses. A natural disaster could affect metabolic profiles, and careful follow-up for survivors should be planned.

SHRINE: enabling nationally scalable multi-site disease studies

Results of medical research studies are often contradictory or cannot be reproduced. One reason is that there may not be enough patient subjects available for observation for a long enough time period. Another reason is that patient populations may vary considerably with respect to geographic and demographic boundaries thus limiting how broadly the results apply. Even when similar patient populations are pooled together from multiple locations, differences in medical treatment and record systems can limit which outcome measures can be commonly analyzed. In total, these differences in medical research settings can lead to differing conclusions or can even prevent some studies from starting. We thus sought to create a patient research system that could aggregate as many patient observations as possible from a large number of hospitals in a uniform way. We call this system the ‘Shared Health Research Information Network’, with the following properties: (1) reuse electronic health data from everyday clinical care for research purposes, (2) respect patient privacy and hospital autonomy, (3) aggregate patient populations across many hospitals to achieve statistically significant sample sizes that can be validated independently of a single research setting, (4) harmonize the observation facts recorded at each institution such that queries can be made across many hospitals in parallel, (5) scale to regional and national collaborations. The purpose of this report is to provide open source software for multi-site clinical studies and to report on early uses of this application. At this time SHRINE implementations have been used for multi-site studies of autism co-morbidity, juvenile idiopathic arthritis, peripartum cardiomyopathy, colorectal cancer, diabetes, and others. The wide range of study objectives and growing adoption suggest that SHRINE may be applicable beyond the research uses and participating hospitals named in this report.

The impact of regional deprivation and individual socio-economic status on the prevalence of Type 2 diabetes in Germany. A pooled analysis of five population-based studies

AIM

Our objective was to test the hypothesis that the prevalence of Type 2 diabetes increases with increasing regional deprivation even after controlling for individual socio-economic status.

METHODS

We pooled cross-sectional data from five German population-based studies. The data set contained information on n = 11,688 study participants (men 50.1%) aged 45-74 years, of whom 1008 people had prevalent Type 2 diabetes (men 56.2%). Logistic multilevel regression was performed to estimate odds ratios (OR) and 95% confidence intervals (CI) for diabetes prevalence. We controlled for sex, age and lifestyle risk factors, individual socio-economic status and regional deprivation, based on a new small-area deprivation measure, the German Index of Multiple Deprivation.

RESULTS

Adjusted for sex, age, body mass index (BMI), physical activity, smoking status and alcohol consumption, the prevalence of Type 2 diabetes showed a stepwise increase in risk with increasing area deprivation [OR 1.88 (95% CI 1.16-3.04) in quintile 4 and OR 2.14 (95% CI 1.29-3.55) in quintile 5 compared with the least deprived quintile 1], even after controlling for individual socio-economic status. Focusing on individual socio-economic status alone, the risk of having diabetes was significantly higher for low compared with medium or high educational level [OR 1.46 (95% CI 1.24-1.71)] and for the lowest compared with the highest income group [OR 1.53 (95% CI 1.18-1.99)].

CONCLUSION

Regional deprivation plays a significant part in the explanation of diabetes prevalence in Germany independently of individual socio-economic status. The results of the present study could help to target public health measures in deprived regions.

Prevalence and comorbidity of diabetes mellitus among non-institutionalized older adults in Germany - results of the national telephone health interview survey 'German Health Update (GEDA)' 2009

Background

Despite the major public health impact of diabetes, recent population-based data regarding its prevalence and comorbidity are sparse.

Methods

The prevalence and comorbidity of diabetes mellitus were analyzed in a nationally representative sample (N = 9133) of the non-institutionalized German adult population aged 50 years and older. Information on physician-diagnosed diabetes and 20 other chronic health conditions was collected as part of the national telephone health interview survey ‘German Health Update (GEDA)’ 2009. Overall, 51.2% of contacted persons participated. Among persons with diabetes, diabetes severity was defined according to the type and number of diabetes-concordant conditions: no diabetes-concordant condition (grade 1); hypertension and/or hyperlipidemia only (grade 2); one comorbidity likely to represent diabetes-related micro- or macrovascular end-organ damage (grade 3); several such comorbidities (grade 4). Determinants of diabetes severity were analyzed by multivariable ordinal regression.

Results

The 12-month prevalence of diabetes was 13.6% with no significant difference between men and women. Persons with diabetes had a significantly higher prevalence and average number of diabetes-concordant as well as diabetes-discordant comorbidities than persons without diabetes. Among persons with diabetes, 10.2%, 46.8%, 35.6% and 7.4% were classified as having severity grade 1–4, respectively. Determinants of diabetes severity included age (cumulative odds ratio 1.05, 95% confidence interval 1.03-1.07, per year) and number of discordant comorbidities (1.40, 1.25-1.55). With respect to specific discordant comorbidities, diabetes severity was correlated to depression (2.15, 1.29-3.56), respiratory disease (2.75, 1.72-4.41), musculoskeletal disease (1.53, 1.06-2.21), and severe hearing impairment (3.00, 1.21-7.41).

Conclusions

Diabetes is highly prevalent in the non-institutionalized German adult population 50 years and older. Diabetes comorbidities including diabetes-concordant and diabetes-discordant conditions need to be considered in epidemiological studies, in order to monitor disease burden and quality of diabetes care. Definitional standards of diabetes severity need to be refined and consented.

Inequalities in non-communicable diseases and effective responses

In most countries, people who have a low socioeconomic status and those who live in poor or marginalised communities have a higher risk of dying from non-communicable diseases (NCDs) than do more advantaged groups and communities. Smoking rates, blood pressure, and several other NCD risk factors are often higher in groups with low socioeconomic status than in those with high socioeconomic status; the social gradient also depends on the country's stage of economic development, cultural factors, and social and health policies. Social inequalities in risk factors account for more than half of inequalities in major NCDs, especially for cardiovascular diseases and lung cancer. People in low-income countries and those with low socioeconomic status also have worse access to health care for timely diagnosis and treatment of NCDs than do those in high-income countries or those with higher socioeconomic status. Reduction of NCDs in disadvantaged groups is necessary to achieve substantial decreases in the total NCD burden, making them mutually reinforcing priorities. Effective actions to reduce NCD inequalities include equitable early childhood development programmes and education; removal of barriers to secure employment in disadvantaged groups; comprehensive strategies for tobacco and alcohol control and for dietary salt reduction that target low socioeconomic status groups; universal, financially and physically accessible, high-quality primary care for delivery of preventive interventions and for early detection and treatment of NCDs; and universal insurance and other mechanisms to remove financial barriers to health care.

Global health and primary care: increasing burden of chronic diseases and need for integrated training

Noncommunicable diseases, including cardiovascular disease, chronic respiratory disease, diabetes, cancer, and mental illness, are the leading causes of death and disability worldwide. These diseases are chronic and often mediated predominantly by social determinants of health. Currently there exists a global-health workforce crisis and a subsequent disparity in the distribution of providers able to manage chronic noncommunicable diseases. Clinical competency in global health and primary care could provide practitioners with the knowledge and skills needed to address the global rise of noncommunicable diseases through an emphasis on these social determinants. The past decade has seen substantial growth in the number and quality of US global-health and primary-care training programs, in both undergraduate and graduate medical education. Despite their overlapping competencies, these 2 complementary fields are most often presented as distinct disciplines. Furthermore, many global-health training programs suffer from a lack of a formalized curriculum. At present, there are only a few examples of well-integrated US global-health and primary-care training programs. We call for universal acceptance of global health as a core component of medical education and greater integration of global-health and primary-care training programs in order to improve the quality of each and increase a global workforce prepared to manage noncommunicable diseases and their social mediators.

Differences in pregnancy planning between women aged 18-44, with and without diabetes: behavioral risk factor surveillance system analysis

AIM

Assess differences in pregnancy planning and behavioral risk factors among women of reproductive age, by diabetes status.

METHODS

A secondary analysis of cross-sectional data from the Behavioral Risk Factor Surveillance System (2002 and 2004) was conducted. Subjects were 18-44-year-old, non-pregnant, fertile women, grouped into two categories: non-diabetes (n=57,436), and diabetes (n=2929). Multivariable logistic regression was used to estimate adjusted prevalence odds ratios and 95% confidence intervals.

RESULTS

Approximately 93% of women of reproductive age with or without diabetes are not intending a pregnancy, and yet among them, women with diabetes are 22% more likely not to use any birth control at all. Women with diabetes are 3.4 times more likely to be obese, 1.4 times more likely to be overweight, 35% less likely to drink any alcohol, and 27% less likely to binge drink alcohol, than women without diabetes. There were no differences in risk factors between women with diabetes that were and were not intending a pregnancy.

CONCLUSIONS

Birth control nonuse for women with diabetes not intending a pregnancy and lack of behavioral change for women with diabetes intending a pregnancy, combined with an increasing prevalence in diabetes, will likely result in significant economic and social tolls on society.

The role of the care model in modifying prognosis in diabetes

Organizational factors in diabetes care can influence long- and medium-term outcomes, affecting the prognosis to the same extent as new therapies. A growing body of evidence supports the hypothesis that diabetes team consultation can favorably impact on hospital utilization, the costliest item in diabetes management, as well as on hospitalization rates, inpatient hospital length of stay, and re-admission rates. Moreover, the model of diabetes care has been reported to influence guidelines adherence, an additional factor linked to the variability in the quality of diabetes care. The strongest predictor and effect modifier of the quality of diabetes care is specialist referral. Compared to patients seen in primary care or other settings, those visiting a diabetes center are more likely to be monitored according to guidelines, regardless of the severity-of-disease effect, and to receive structured education, as well as more aggressive treatment when needed. Finally, at least eight published studies suggest that when continuity of care is shared with diabetes clinics, all-cause mortality and major cardiovascular events are both reduced. The sharing of care pathways between primary care providers and diabetes teams is likely to be the best and most affordable solution in the complex management of this chronic condition.

Socioeconomic status and mortality: contribution of health care access and psychological distress among U.S. adults with diagnosed diabetes

OBJECTIVE

Although several studies have examined the association between socioeconomic status (SES) and mortality in the general population, few have investigated this relationship among people with diabetes. This study sought to determine how risk of mortality associated with measures of SES among adults with diagnosed diabetes is mitigated by association with demographics, comorbidities, diabetes treatment, psychological distress, or health care access and utilization.

RESEARCH DESIGN AND METHODS

The study included 6,177 adults aged 25 years or older with diagnosed diabetes who participated in the National Health Interview Surveys (1997-2003) linked to mortality data (follow-up through 2006). SES was measured by education attained, financial wealth (either stocks/dividends or home ownership), and income-to-poverty ratio.

RESULTS

In unadjusted analysis, risk of death was significantly greater for people with lower levels of education and income-to-poverty ratio than for those at the highest levels. After adjusting for demographics, comorbidities, diabetes treatment and duration, health care access, and psychological distress variables, the association with greater risk of death remained significant only for people with the lowest level of education (relative hazard 1.52 [95% CI 1.04-2.23]). After multivariate adjustment, the risk of death was significantly greater for people without certain measures of financial wealth (e.g., stocks, home ownership) (1.56 [1.07-2.27]) than for those with them.

CONCLUSIONS

The findings suggest that after adjustments for demographics, health care access, and psychological distress, the level of education attained and financial wealth remain strong predictors of mortality risk among adults with diabetes.

Food insecurity, processes of care, and self-reported medication underuse in patients with type 2 diabetes: results from the California Health Interview Survey

OBJECTIVE

To assess the independent association of food insecurity with processes of care and delays in filling prescriptions.

DATA SOURCE

2007 California Health Interview Survey.

STUDY DESIGN

Associations of food insecurity with processes of care and delays in filling prescriptions were examined using multivariable logistic regression analyses adjusted for sociodemographic characteristics, barriers to accessing care, and health status.

DATA EXTRACTION

Data were analyzed from adults currently receiving treatment for type 2 diabetes and who had seen a doctor in the prior 12 months (N = 3,401).

PRINCIPAL FINDINGS

For diabetes patients currently receiving medical care, food insecurity was not associated with lower rates of performance of recommended processes of care, but it was associated with delays in filling prescriptions (aOR = 2.15, 95 percent CI 1.25, 3.71).

CONCLUSIONS

Food insecurity may increase delays in filling prescriptions in daily life, even though the performance of recommended processes of care in the clinic is not diminished.

Predictors of diabetes in older people in urban China

BACKGROUND

China has the largest number of people with diabetes in the world. Over the last 30 years China has experienced rapid economic growth and a growing income gap between rich and poor. The population is ageing, however diabetes in older people has not been well studied to date. In this study we determined incidence and predictors of diabetes in older Chinese people.

METHODS

During 2001, using a standard interview method, we examined 1,317 adults aged ≥65 years who did not have diabetes in the city of Hefei, and characterized baseline risk factors. Over 7.5 years of follow up, we documented incident diabetes using self-reported doctor diagnosis and the cause of death in the whole cohort, and HbA(1C) ≥48 mmol/mol in a nested case-control sample. A multivariate Cox regression model was employed to investigate risk of diabetes in relation to baseline risk factors.

RESULTS

During follow up, 119 persons had newly diagnosed diabetes. World age-standardised incidence of diabetes was 24.5 (95% CI 19.5-29.5) per 1,000 person-years. Risk of diabetes was significantly and positively associated with income, waist circumference and body mass index, smoking and uncontrolled hypertension, but negatively associated with having a hobby of walking and frequency of visiting children/other relatives and contacting neighbours/friends. Higher income was significantly associated with increased diabetes risk regardless of cardiovascular and psychosocial risk factors. Compared to those with middle income and no psychosocial risk factors, the hazard ratio for incident diabetes among participants with high income and psychosocial risk was 2.13 (95% CI 1.02-4.45).

CONCLUSIONS

Increasing incidence of diabetes in relation to high income has become an important public health issue in China. Maintaining social networks and gentle physical activities and reducing psychosocial factors may be integrated into current multi-faceted preventive strategies for curbing the epidemic of diabetes in the older population.

Organizational justice in primary-care health centers and glycemic control in patients with type 2 diabetes

BACKGROUND

Organizational justice has been put forward as a measure of leadership quality that is associated with better health among employees.

OBJECTIVES

We extended that idea to test whether perceived organizational justice among health care providers might be positively associated with glycemic control among their diabetic patients.

SETTING

Eighteen primary-care health centers (HCs) in Finland.

PARTICIPANTS

Type 2 diabetes patients (n=8954) and HC staff (n=422).

MEASUREMENTS

: Mean of 1 year's measurements of glycated hemoglobin [≥ 7.0 (the least optimal); 6.5-6.9; 6.0-6.4; and 4.5-5.9 (the most optimal)], health-center psychosocial work characteristics (staff-reported procedural justice and relational justice, effort-reward imbalance, and work-unit team climate), and individual-level and work-unit-level covariates.

RESULTS

Perceptions of higher levels of procedural justice among staff were associated with more optimal glycated hemoglobin levels among patients (cumulative odds ratio per 1-U increase in justice=1.54, 95% confidence interval, 1.08-2.18) after adjustment for patient-level and unit-level covariates. Relational justice, effort-reward imbalance, and work-unit team climate were not associated with glycemic control.

CONCLUSION

The quality of leadership at HCs, as indicated by staff perceptions of procedural justice, may play a role in achieving good glycemic control among type 2 diabetes patients.

Diabetes and depression comorbidity and socio-economic status in low and middle income countries (LMICs): a mapping of the evidence

Non-communicable diseases account for more than 50% of deaths in adults aged 15–59 years in most low income countries. Depression and diabetes carry an enormous public health burden, making the identification of risk factors for these disorders an important strategy. While socio-economic inequalities in chronic diseases and their risk factors have been studied extensively in high-income countries, very few studies have investigated social inequalities in chronic disease risk factors in low or middle-income countries. Documenting chronic disease risk factors is important for understanding disease burdens in poorer countries and for targeting specific populations for the most effective interventions. The aim of this review is to systematically map the evidence for the association of socio-economic status with diabetes and depression comorbidity in low and middle income countries. The objective is to identify whether there is any evidence on the direction of the relationship: do co-morbidities have an impact on socio-economic status or vice versa and whether the prevalence of diabetes combined with depression is associated with socio-economic status factors within the general population. To date no other study has reviewed the evidence for the extent and nature of this relationship. By systematically mapping the evidence in the broader sense we can identify the policy and interventions implications of existing research, highlight the gaps in knowledge and suggest future research. Only 14 studies were found to analyse the associations between depression and diabetes comorbidity and socio-economic status. Studies show some evidence that the occurrence of depression among people with diabetes is associated with lower socio-economic status. The small evidence base that considers diabetes and depression in low and middle income countries is out of step with the scale of the burden of disease.