Diabetes prevalence and income: Results of the Canadian Community Health Survey

Factors Influencing the Acceptance or Rejection of Dietary and Body Norm Systems Favorable to the Prevention and Control of Type 2 Diabetes Among Sub-Saharan Africa migrants: A Scoping Review

INTRODUCTION

The systems of dietary and body that favor the prevention and control of type 2 diabetes (T2D) go against what is vital for most of the migrant population, exposing them to conflicts of norms that are difficult to reconcile. The purpose of this scoping review is to identify factors that may influence the acceptance or rejection of dietary and body norm systems favorable to the prevention and control of T2D by sub-Saharan Africa migrants living with T2D.

METHODS

An electronic search of studies from 2011 to 2022, published in English, Italian, French, or Portuguese was conducted in seven databases and in gray literature. The selection of articles was done independently and blindly by six teams of two researchers in accordance with the inclusion and exclusion criteria defined by the PICO.

RESULTS

Seven studies were included. The results show several factors influencing the acceptance or rejection of dietary and body norms systems favorable to the prevention and control of T2D among the migrants from sub-Saharan Africa, mainly social network, income, availability, and affordability of foods, among others.

CONCLUSION

Given the paucity of studies available on factors influencing the acceptance or rejection of body norm systems favorable to the prevention and control of T2D by sub-Saharan Africa migrants living with T2D, further studies are needed to better document these factors. A better understanding of these factors and their influence on the well-being of migrant people from sub-Saharan Africa living with T2D could help guide policy, research, and interventions so that they are better adapted to the realities of these populations.

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

BACKGROUND

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

METHODS

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

FINDINGS

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

INTERPRETATION

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

Mediating effect of BMI on the association of economic status and coexistence of hypertension and diabetes in Bangladesh: A counterfactual framework-based weighting approach

Background and Aims

Non-communicable diseases such as hypertension and diabetes are matters of huge concern worldwide, with an increasing trend in prevalence over the previous decade. First of all, this study aimed to evaluate the association between economic status (ES) and body mass index (BMI), ES and comorbidity of hypertension and diabetes, and BMI and comorbidity independently. Second, it explored the mediating role of BMI in the association between ES and comorbidity of hypertension and diabetes. Finally, it investigated whether the mediating effect differs with the place of residence, gender, and education levels.

Methods

A total of 11,291 complete cases from the Bangladesh demographic and health survey 2017-18 were utilized for this study. Survey-based binary logistic regression or multiple logistic regression was used to find the association among outcome, exposure, and mediator variables, and a counterfactual framework-based weighting approach was utilized for mediation analysis.

Results

Middle-income (adjusted odds ratio [AOR]: 1.696, 95% confidence interval [CI]: 1.219, 2.360) and rich (AOR: 2.770, CI: 2.054, 3.736) respondents were more likely to have comorbidity of hypertension and diabetes compared to the poor. The odds of comorbidity increased with the increase in BMI. A positive association was observed between ES and BMI. A significant mediating role of BMI in the association between ES and comorbidity was found. We observed that 19.85% (95% CI: 11.50%, 49.6%) and 20.35% (95% CI: 14.9%, 29.3%) of total effect was mediated by BMI for middle and rich respondents, respectively, compared to the poor.

Conclusions

The mediating role of BMI was greater for female, no or primary educated respondents, and respondents from rural areas. Therefore, the study will facilitate policymakers of Bangladesh and other countries with a similar set-up to decide on health policies regarding hypertension and diabetes.

Prevalence of Adult Type 2 Diabetes Mellitus and Related Complications in Alberta, Canada: A Retrospective, Observational Study Using Administrative Data

OBJECTIVES

Type 2 diabetes mellitus (T2DM) is a prevalent chronic disease and a leading cause of morbidity/mortality in Canada. We evaluated the burden of T2DM in Alberta, Canada, by estimating the 5-year period prevalence of T2DM and rates of comorbidities and complications/conditions after T2DM.

METHODS

We conducted a population-based, retrospective study linking administrative health databases. Individuals with T2DM (≥18 years of age) were identified between 2008-2009 and 2018-2019 using a published algorithm, with follow-up data to March 2020. The 5-year period prevalence was estimated for 2014-2015 to 2018-2019. Individuals with newly identified T2DM, ascertained between 2010-2011 and 2017-2018 with a lookback period between 2008-2009 and 2009-2010 and a minimum 1 year of follow-up data, were evaluated for subsequent cardiovascular, diabetic, renal, and other complication/condition frequencies (%) and rates (per 100 person-years). Complications/conditions were stratified by atherosclerotic cardiovascular disease (ASCVD) status at index and age.

RESULTS

The 5-year period prevalence of T2DM was 11,051 per 100,000 persons, with the highest prevalence in men 65 to <75 years of age. There were 195,102 individuals included in the cohort (mean age 56.7±14.7 years). The most frequently reported complications/conditions (rates per 100 person-years) were acute infection (23.10, 95% confidence interval [CI] 23.00 to 23.30), hypertension (17.30, 95% CI 16.80 to 17.70), and dyslipidemia (12.20, 95% CI 11.90 to 12.40). Individuals who had an ASCVD event/procedure and those ≥75 years of age had higher rates of complications/conditions.

CONCLUSIONS

We found that over half of the individuals had hypertension or infection after T2DM. Also, those with ASCVD had higher rates of complications/conditions. Strategies to mitigate complications/conditions after T2DM are required to reduce the burden of this disease on individuals and health-care systems.

Social Determinants Influencing the Non-Adoption of Norms Favorable to the Prevention and Control of Type 2 Diabetes: Qualitative Research

Diet, physical activity, and body shape play an essential role in the development of type 2 diabetes (T2D) and are the social dimensions most targeted by health professionals in their practices or intervention aimed at preventing and controlling T2D. However, several interventions focus more on individual factors and less on social determinants likely to influence the adoption of dietary, body, and physical activity standards favorable to the prevention and control of T2D. This study aims to explore the social determinants influencing the rejection or adoption of dietary, bodily, and physical activity norms favorable to the prevention and control of T2D among migrants from sub-Saharan Africa. A qualitative exploratory design guided data collection and analysis. Semi-structured qualitative interviews and focus groups were conducted between October 2022 and March 2023 in Montreal and Quebec Cities. The cost of food, the difficulty of accessing certain foods, a reliable level of income, work schedules, the gazes of relatives or communities, migration policies, disappointment and stressful situations linked to migratory status, racial microaggressions, and the lack of food guides adapted to the realities of MASS were the main determinants identified by the participants. These determinants can influence the adoption of public health recommendations on diet for the prevention and control of T2D. People living with T2D obviously have an important role to play, but much of the work lies outside their control. Therefore, Preventive, clinical, or awareness-raising interventions should more consider the life and structural contexts in which these people navigate without ignoring their pre-migratory rules of dietary, body, and physical activity norms.

In utero Exposure to Maternal Diabetes and the Risk of Cerebral Palsy: A Population-based Cohort Study

BACKGROUND

Evidence on the effects of in utero exposure to maternal diabetes on cerebral palsy (CP) in offspring is limited. We aimed to examine the effects of pregestational (PGDM) and gestational diabetes (GDM) separately on CP risk and the mediating role of increased fetal size.

METHODS

In a population-based study, we included all live births in Ontario, Canada, between 2002 and 2017 followed up through 2018 (n = 2,110,177). Using administrative health data, we estimated crude and adjusted associations between PGDM or GDM and CP using Cox proportional hazards models to account for unequal follow-up in children. For the mediation analysis, we used marginal structural models to estimate the controlled direct effect of PGDM (and GDM) on the risk of CP not mediated by large-for-gestational age (LGA).

RESULTS

During the study period, 5,317 children were diagnosed with CP (187 exposed to PGDM and 171 exposed to GDM). Children of mothers with PGDM showed an increased risk (hazard ratio [HR]: 1.84 [95% confidence interval (CI): 1.59, 2.14]) after adjusting for maternal sociodemographic and clinical factors. We found no associations between GDM and CP (adjusted HR: 0.91 [0.77, 1.06]). Our mediation analysis estimated that LGA explained 14% of the PDGM-CP association.

CONCLUSIONS

In this population-based birth cohort study, maternal pregestational diabetes was associated with increased risk of CP, and the increased risk was not substantially mediated by the increased fetal size.

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

AIMS

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

The magnitude and importance of perceived health dimensions define effective tailor-made health-promoting interventions per targeted socioeconomic group

Recent insights and developments on health and society urge a critical look at the positive relationship between socioeconomic status (SES) and health. We challenge the notions that it is sufficient to distinguish only between two groups of SES (low and high) and that only overall health is taken into account. A new grouping of SES was developed based on both income and education, resulting in six SES groups. Health was defined in terms of a new positive health concept, operationalized into six health dimensions generating a measure of total general health (TGH). Next, six socioeconomic and demographic determinants of health were included. Linear regression, T-tests and one-way ANOVA were applied to investigate the relationships in a Dutch sample. A subjective way to measure health was applied: self-rated health (SRH). As a result, four out of six dimensions of health determined TGH: bodily functions, daily functioning, quality of life, and social and societal participation. Three out of six socioeconomic and demographic determinants impacted TGH: housing situation, age, and difficulties meeting financial obligations. While this is the general picture for the entire sample, there were interesting similarities and differences between the six SES groups. The similarities lie in the positive impact of the evaluation of bodily functions and daily functioning on TGH in all SES groups. The other dimensions affected TGH in some groups, and some dimensions only in one SES group. None of the socioeconomic and demographic determinants affected TGH in all SES groups. New insights on health inequalities are provided. It is concluded, first that the well-known positive relationship between SES and health is confirmed in this study. Second, further refining the health concept into six dimensions provides more detailed insights on which dimensions impact health the most. The subjective approach applied offers more refined information to better understand which health issues really matter to people. This yields new insights to develop tailor-made interventions aimed at increasing healthy behaviour in specific societal groups.

Self-reported diabetes and factors associated with it in the Brazilian adult population: National Health Survey, 2019

This study aims to analyze the prevalence of self-reported diabetes and its associated factors in the Brazilian adult population. It is a cross-sectional study using the 2019 National Health Survey. Prevalence and crude prevalence ratios (PRc) and adjusted prevalence ratios (PRa) of self-reported diabetes were estimated, with confidence intervals (95% CI), using Poisson regression. In the 82,349 adults, the prevalence of self-reported diabetes was 7.7%. Positively associated factors were: advanced age with greater association after 60 years (PRa 24.87; 95%CI 15.78-39.18); living in the Northeast (PRa 1.16; 95%CI 1.04-1.29), Southeast (PRa 1.27; 95% CI 1.14-1.43), South (PRa 1.18; 95%CI 1, 05-1.34), and Midwest (PRa 1.21; 95%CI 1.06-1.38); being a former smoker (PRa 1.17; 95%CI 1.09-1.27); self-assessment of regular health (PRa 2.41; 95%CI 2.21-2.64), bad/very bad (PRa 3.45; 95%CI 3.06-3.88); having heart disease (PRa 1.81; 95%CI 1.64-2.00), hypertension (PRa 2.84; 95%CI 2.60-3.69), high cholesterol (PRa 2.22; 95%CI 2.05-2.41), overweight (PRa 1.49; 95%CI 1.36-1.64), and obesity (PRa 2.25; 95%CI 2.05-2.47). It could be concluded that diabetes in Brazilian adults is associated with sociodemographic factors, aging, lifestyle, and morbidities. These results can guide public policies for the prevention and control of disease in Brazil.

Self-reported diabetes and factors associated with it in the Brazilian adult population: National Health Survey, 2019

Abstract This study aims to analyze the prevalence of self-reported diabetes and its associated factors in the Brazilian adult population. It is a cross-sectional study using the 2019 National Health Survey. Prevalence and crude prevalence ratios (PRc) and adjusted prevalence ratios (PRa) of self-reported diabetes were estimated, with confidence intervals (95% CI), using Poisson regression. In the 82,349 adults, the prevalence of self-reported diabetes was 7.7%. Positively associated factors were: advanced age with greater association after 60 years (PRa 24.87; 95%CI 15.78-39.18); living in the Northeast (PRa 1.16; 95%CI 1.04-1.29), Southeast (PRa 1.27; 95% CI 1.14-1.43), South (PRa 1.18; 95%CI 1, 05-1.34), and Midwest (PRa 1.21; 95%CI 1.06-1.38); being a former smoker (PRa 1.17; 95%CI 1.09-1.27); self-assessment of regular health (PRa 2.41; 95%CI 2.21-2.64), bad/very bad (PRa 3.45; 95%CI 3.06-3.88); having heart disease (PRa 1.81; 95%CI 1.64-2.00), hypertension (PRa 2.84; 95%CI 2.60-3.69), high cholesterol (PRa 2.22; 95%CI 2.05-2.41), overweight (PRa 1.49; 95%CI 1.36-1.64), and obesity (PRa 2.25; 95%CI 2.05-2.47). It could be concluded that diabetes in Brazilian adults is associated with sociodemographic factors, aging, lifestyle, and morbidities. These results can guide public policies for the prevention and control of disease in Brazil.

Chronic disease and where you live: Built and natural environment relationships with physical activity, obesity, and diabetes

BACKGROUND

Diabetes is among the most prevalent non-communicable diseases causing significant morbidity and mortality globally. The aetiology and disease development of diabetes are influenced by genetic, lifestyle, and environmental factors. Due to an increasing number of cases each year, it is imperative to improve the understanding of modifiable environmental risk and protective factors. In this study we aimed to analyse associations between built and natural environment features and diabetes prevalence; and two major risk factors: physical activity and obesity and their mediation effects.

METHODS

We analysed relationships between walkability and park availability with physical activity, obesity, and diabetes, using self-reported data from a large cross-sectional survey in British Columbia, Canada (n = 22,418). We validated results with an independent cohort (n = 11,972) in a subset of the analyses. The outcome measures included walking, moderate to vigorous physical activity (MVPA), body mass index (BMI), and diabetes. Built and natural environment features within a 1 km road network buffer around residential postal code centroids were assessed using validated indicators of walkability and park availability. We used general linear multivariable models (GLM) to examine the direct relationship between environmental features, physical activity, obesity, and diabetes respectively. Path models were developed to analyse mediation effects of physical activity and obesity on the association between environmental indicators and diabetes. The relative contribution of direct versus indirect effects was assessed. All models were adjusted for age, gender, income. ethnicity, years lived in neighbourhood and regional accessibility.

RESULTS

Walkable neighbourhoods and areas with greater park availability were associated with lower rates of diabetes. There was a direct association of walkability and park availability on physical activity (highest vs. lowest quintile OR = 1.15; 95% CI: 1.00, 1.33 and OR = 1.28, 95% CI: 1.13, 1.45 respectively), obesity (highest vs. lowest quintile OR = 0.58, 95% CI: 0.49, 0.70 and OR = 0.57, 95% CI: 0.48, 0.68 respectively) and diabetes (highest vs. lowest quintile OR = 0.62, 95% CI: 0.45, 0.85, and OR = 0.63, 95% CI: 0.47, 0.84 respectively). Results were similar in the independent cohort. The associations between diabetes and walkability and park availability respectively were partly mediated by obesity (41% of total association for walkability and 53% of total association for park availability). The mediating effect of physical activity was negligible.

CONCLUSION

Results support investments in walkability through active transportation and transit infrastructure. Changes in zoning and subdivision regulations governing land use actions are required to enable compact mixed-use environments with access to parks and high quality transit service. Future studies including cost-benefit analyses of health-related economic impacts of such investments can contribute to evidence-based decisions for healthier cities.

"It Is a Full-time Job to Be Ill": Patient Work Involved in Attending Formal Diabetes Care Among Socially Vulnerable Danish Type 2 Diabetes Patients

Previous research has shown social inequality in type 2 diabetes prevalence and that socially vulnerable type 2 diabetes patients benefit less than average from health services. Based on ethnographic fieldwork carried out between February 2017 and March 2018 in a Danish specialized outpatient clinic, this article focuses on patient work among socially vulnerable type 2 diabetes patients. Through attending to the border zone between formal health care and self-care, we show that patients do a lot of work requiring skills, resources, and initiative, to access and benefit from formal care. This work is complex and implicit in the organization of care. Patients' social situations, especially their employment situation, complicate getting patient work done. Attending to patient work and implicit tasks in care organization may help us to see how social inequality in type 2 diabetes outcomes develops, and may be combated.

Adjusting health care: practicing care for socially vulnerable type 2 diabetes patients

Background

Type 2 diabetes cluster in lower social groups and people with type 2 diabetes from lower social groups experience more complications, benefit less from health services and live shorter lives than people with type 2 diabetes from higher social groups. Different logics govern diabetes care and potentially influence the possibility of socially vulnerable type 2 diabetes patients to access and benefit from health services. In order to understand which practice and underlying logic enable socially vulnerable type 2 diabetes patients to access and benefit from diabetes care we aim to describe what professionals at a specialized diabetes clinic do to adjust services to patient’s needs and make the tasks involved in diabetes care doable for socially vulnerable patients and how this work is embedded in an organizational and moral context.

Methods

Ethnographic fieldwork combining participant observation and interviews was carried out between February 2017 and March 2018 in a specialized diabetes clinic located in a socially deprived area in the capital region of Denmark. Sixteen patients (9 male, 7 female, aged 35-73 years) and 12 professionals (7 doctors, 4 nurses, 1 secretary) participated in the study. We used Annemarie Mol’s concept of “the logic of care” to guide our analysis.

Results

Our analysis shows that the logic of care and the care practices in this clinic are characterized by a needs-based approach to treatment involving adjustment of services (permeability, timing, and content) and seeing the patient as a person with many needs. Throughout our description of selected care practices, we both characterize how health professionals practice this particular logic of care and the organizational and normative conditions that this logic is entangled with.

Conclusions

Practicing diabetes care based on patients’ needs involves individualization, something often described as an element of patient centred care. Our study shows that this ideal of individualization and adjustment of treatment is possible in practice. Organizational flexibility and an organizational culture that values patient needs enable needs-based care. In order for socially vulnerable type 2 diabetes patients to benefit from health services it is necessary to create conditions under which professionals can attend to these patients’ multiple and complex needs. Adjusting care to these needs demand a variety of professional efforts some of which are hardly predictable or standardisable.

Impact of Intersecting Systems of Oppression on Diabetic Retinopathy Screening Among Those Who Identify as Women of Low Socioeconomic Status: Protocol for a Convergent Mixed Methods Study

Background

By 2025, 5 million Canadians will be diagnosed with diabetes, and women from lower socioeconomic groups will likely account for most new diagnoses. Diabetic retinopathy is a primary vision complication of diabetes and a leading cause of blindness among adults, with 26% prevalence among women. Tele-retina is a branch of telemedicine that delivers eye care remotely. Screening for diabetic retinopathy has great potential to reduce the incidence of blindness, yet there is an adverse association among screening, income, and gender.

Objective

We aim to explore gender disparity in the provision of tele-retina program services for diabetic retinopathy screening in a cohort of women of low socioeconomic status (SES) receiving services in South Riverdale Community Health Centre (SRCHC) between 2014 and 2019.

Methods

Using a convergent mixed methods design, we want to understand patients’, providers’, administrators’, and decision makers’ perceptions of the facilitators and barriers associated with the implementation and adoption of tele-retina. Multivariate logistic regression will be utilized to assess the association among client characteristics, referral source, and diabetic retinopathy screening. Guided by a grounded theory approach, systematic coding of data and thematic analysis will be utilized to identify key facilitators and barriers to the implementation and adoption of tele-retina.

Results

For the quantitative component, we anticipate a cohort of 2500 patients, and we expect to collect data on the overall patterns of tele-retina program use, including descriptions of program utilization rates (such as data on received and completed diabetic retinopathy screening referrals) along the landscape of patient populations receiving these services. For the qualitative component, we plan to interview up to 21 patients and 14 providers, administrators, and decision makers, and to conduct up to 14 hours of observations alongside review of relevant documents. The interview guide is being developed in collaboration with our patient partners. Through the use of mixed methods research, the inquiry will be approached from different perspectives. Mixed methods will guide us in combining the rich subjective insights on complex realities from qualitative inquiry with the standard generalizable data that will be generated through quantitative research. The study is under review by the University Health Network Research Ethics Board (19-5628). We expect to begin recruitment in winter 2021.

Conclusions

In Ontario, the screening rate for diabetic retinopathy among low income groups remains below 65%. Understanding the facilitators and barriers to diabetic retinopathy screening may be a prerequisite in the development of a successful screening program. This study is the first Ontario study to focus on diabetic retinopathy screening practices in women of low SES, with the aim to improve their health outcomes and revolutionize access to quality care.

International Registered Report Identifier (IRRID)

PRR1-10.2196/23492

Influencing Indicators and Spatial Variation of Diabetes Mellitus Prevalence in Shandong, China: A Framework for Using Data-Driven and Spatial Methods

To control and prevent the risk of diabetes, diabetes studies have identified the need to better understand and evaluate the associations between influencing indicators and the prevalence of diabetes. One constraint has been that influencing indicators have been selected mainly based on subjective judgment and tested using traditional statistical modeling methods. We proposed a framework new to diabetes studies using data-driven and spatial methods to identify the most significant influential determinants of diabetes automatically and estimated their relationships. We used data from diabetes mellitus patients' health insurance records in Shandong province, China, and collected influencing indicators of diabetes prevalence at the county level in the sociodemographic, economic, education, and geographical environment domains. We specified a framework to identify automatically the most influential determinants of diabetes, and then established the relationship between these selected influencing indicators and diabetes prevalence. Our autocorrelation results showed that the diabetes prevalence in 12 Shandong cities was significantly clustered (Moran's I = 0.328, p < 0.01). In total, 17 significant influencing indicators were selected by executing binary linear regressions and lasso regressions. The spatial error regressions in different subgroups were subject to different diabetes indicators. Some positive indicators existed significantly like per capita fruit production and other indicators correlated with diabetes prevalence negatively like the proportion of green space. Diabetes prevalence was mainly subjected to the joint effects of influencing indicators. This framework can help public health officials to inform the implementation of improved treatment and policies to attenuate diabetes diseases.

Clinical impact of a pharmacist + health coach chronic disease management program in a rural free clinic

OBJECTIVES

Recent data have demonstrated benefits of pharmacist-led protocols for chronic disease state management in the primary care setting. Health coaching has also been shown to improve patient outcomes and reduce health care costs. A program was initiated in August 2017 at a rural, free clinic to provide team-based, patient-centered care management through the use of pharmacist-provider collaborative practice and health coaching for patients with chronic diseases such as diabetes, hypertension, and hyperlipidemia.

METHODS

After an initial patient examination, physicians could refer patients for management by the pharmacist + health coach team. Patients continued to see their primary care provider at least yearly and as needed. The pharmacist + health coach team provided a protocol-based approach to chronic disease management, as well as health education pertaining to diet and lifestyle recommendations. In-depth medication and disease state education were provided at each visit. Motivational interviewing was also conducted at each visit. Clinical metrics were collected at baseline and analyzed routinely after program initiation, including glycosylated hemoglobin (A1c), blood pressure, and lipids. Primary objectives were to evaluate the program's impact on A1c, blood pressure, and cholesterol outcomes.

RESULTS

A total of 95 patients were included in the analysis (A1c n = 37; systolic and diastolic blood pressure n = 47; total cholesterol n = 40; low-density lipoprotein [LDL] cholesterol n = 38; high-density lipoprotein cholesterol n = 40; and triglycerides n = 40). From baseline to 1 year, statistically significant improvements were observed for A1c (mean ± standard deviation, 8.55 ± 2.58 to 7.04 ± 1.12, P < 0.001), systolic blood pressure (136.79 ± 20.04 to 123.15 ± 16.81, P < 0.001), diastolic blood pressure (87.94 ± 12.28 to 78.64 ± 10.98, P < 0.001), total cholesterol (198.25 ± 52.47 to 183.55 ± 47.22, P = 0.014), and LDL cholesterol (115.74 ± 43.56 to 105.92 ± 39.27, P = 0.040).

CONCLUSION

A protocol-driven collaborative practice approach to chronic disease management by a clinical pharmacist in conjunction with health coaching by a registered nurse in a low-income, rural, primary care setting improved A1c, blood pressure, total cholesterol, and LDL cholesterol.

Association between living alone and incident type 2 diabetes among middle-aged individuals in Korea: a nationwide cohort study

We studied the association between living alone and the risk of incident type 2 diabetes in middle-aged individuals using nationwide cohort data from the Korean population. 11,686, 677 middle-aged individuals aged 40–64 years who underwent health examinations by the Korean National Health Insurance System between 2009 and 2012 were followed up until December 31, 2015. The hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using multivariable Cox proportional hazards regression analysis. During the median follow-up duration of 5.6 years, 393,438 individuals developed type 2 diabetes. Living alone was significantly associated with incident type 2 diabetes in all adjusted models (HR 1.08; 95% CI 1.07–1.09 in model 4). Individuals who lived alone for < 1 year and 1–7 years were associated with increased HRs of 1.07 (1.04–1.09) and 1.08 (1.07–1.09). Living alone was associated with incident type 2 diabetes in all subgroups. The association was stronger in men than in women and younger individuals than in older individuals. Living alone, even for a short duration, may be an important factor in type 2 diabetes development. Better household conditions and appropriate support to one-person households may be needed to prevent type 2 diabetes.

The Need for Ethnoracial Equity in Artificial Intelligence for Diabetes Management: Review and Recommendations

There is clear evidence to suggest that diabetes does not affect all populations equally. Among adults living with diabetes, those from ethnoracial minority communities—foreign-born, immigrant, refugee, and culturally marginalized—are at increased risk of poor health outcomes. Artificial intelligence (AI) is actively being researched as a means of improving diabetes management and care; however, several factors may predispose AI to ethnoracial bias. To better understand whether diabetes AI interventions are being designed in an ethnoracially equitable manner, we conducted a secondary analysis of 141 articles included in a 2018 review by Contreras and Vehi entitled “Artificial Intelligence for Diabetes Management and Decision Support: Literature Review.” Two members of our research team independently reviewed each article and selected those reporting ethnoracial data for further analysis. Only 10 articles (7.1%) were ultimately selected for secondary analysis in our case study. Of the 131 excluded articles, 118 (90.1%) failed to mention participants’ ethnic or racial backgrounds. The included articles reported ethnoracial data under various categories, including race (n=6), ethnicity (n=2), race/ethnicity (n=3), and percentage of Caucasian participants (n=1). Among articles specifically reporting race, the average distribution was 69.5% White, 17.1% Black, and 3.7% Asian. Only 2 articles reported inclusion of Native American participants. Given the clear ethnic and racial differences in diabetes biomarkers, prevalence, and outcomes, the inclusion of ethnoracial training data is likely to improve the accuracy of predictive models. Such considerations are imperative in AI-based tools, which are predisposed to negative biases due to their black-box nature and proneness to distributional shift. Based on our findings, we propose a short questionnaire to assess ethnoracial equity in research describing AI-based diabetes interventions. At this unprecedented time in history, AI can either mitigate or exacerbate disparities in health care. Future accounts of the infancy of diabetes AI must reflect our early and decisive action to confront ethnoracial inequities before they are coded into our systems and perpetuate the very biases we aim to eliminate. If we take deliberate and meaningful steps now toward training our algorithms to be ethnoracially inclusive, we can architect innovations in diabetes care that are bound by the diverse fabric of our society.

Effects of Behavioral Risk Factors and Social-Environmental Factors on Non-Communicable Diseases in South Korea: A National Survey Approach

Non-communicable diseases (NCDs) are one of the major health threats in the world. Thus, identifying the factors that influence NCDs is crucial to monitor and manage diseases. This study investigates the effects of social-environmental and behavioral risk factors on NCDs as well as the effects of social-environmental factors on behavioral risk factors using an integrated research model. This study used a dataset from the 2017 Korea National Health and Nutrition Examination Survey. After filtering incomplete responses, 5462 valid responses remained. Items including one's social-environmental factors (household income, education level, and region), behavioral factors (alcohol use, tobacco use, and physical activity), and NCDs histories were used for analyses. To develop a comprehensive index of each factor that allows comparison between different concepts, the researchers assigned scores to indicators of the factors and calculated a ratio of the scores. A series of path analyses were conducted to determine the extent of relationships among NCDs and risk factors. The results showed that social-environmental factors have notable effects on stroke, myocardial infarction, angina, diabetes, and gastric, liver, colon, lung, and thyroid cancers. The results indicate that the effects of social-environmental and behavioral risk factors on NCDs vary across the different types of diseases. The effects of social-environmental factors and behavioral risk factors significantly affected NCDs. However, the effect of social-environmental factors on behavioral risk factors was not supported. Furthermore, social-environmental factors and behavioral risk factors affect NCDs in a similar way. However, the effects of behavioral risk factors were smaller than those of social-environmental factors. The current research suggests taking a comprehensive view of risk factors to further understand the antecedents of NCDs in South Korea.

Social and economic influences on disparities in the health of racial and ethnic group Canadian immigrants

OBJECTIVE

To examine social, economic, and migratory influences on the health of racial and ethnic minority groups in Canada, with a special focus on Caribbean immigrants.

METHODS

Combined annual cycles (2011-2016) of the Canadian Community Health Survey (CCHS) data totaling over 300,000 adult Canadian residents were aggregated. Descriptive statistics and multivariable logistic regression models were used to examine the prevalence and associated factors of (1) cardiovascular disease diagnosed by a healthcare professional, and (2) self-rated general health among racial and ethnic groups.

RESULTS

Caribbeans in general, Black and other non-White Canadians had significantly higher odds (adjusted for age/sex) of reporting any cardiovascular disease compared with White Canadians. Only non-Caribbean Blacks had higher odds of self-rated fair or poor general health compared with White Canadians. Multivariate logistic regression models revealed that after controlling for social and demographic factors, immigration status and years since migration, Caribbean non-Blacks and Black Caribbeans were at higher odds of having a doctor-reported cardiovascular health condition compared with White Canadians. Caribbean non-Blacks also had higher odds of fair or poor self-rated health than White Canadians.

CONCLUSION

The results of this study highlight the need for additional investigations of other potential influences on physical health statuses, especially among migrants and those of African ancestry who might be more prone to adverse health outcomes.

Navigating inequities: a roadmap out of the pandemic

The COVID-19 pandemic has exposed social inequities that rival biological inequities in disease exposure and severity. Merely identifying some inequities without understanding all of them can lead to harmful misrepresentations and deepening disparities. Applying an 'equity lens' to bring inequities into focus without a vision to extinguish them is short-sighted. Interventions to address inequities should be as diverse as the pluralistic populations experiencing them. We present the first validated equity framework applied to COVID-19 that sheds light on the full spectrum of health inequities, navigates their sources and intersections, and directs ethically just interventions. The Equity Matrix also provides a comprehensive map to guide surveillance and research in order to unveil epidemiological uncertainties of novel diseases like COVID-19, recognising that inequities may exist where evidence is currently insufficient. Successfully applied to vaccines in recent years, this tool has resulted in the development of clear, timely and transparent guidance with positive stakeholder feedback on its comprehensiveness, relevance and appropriateness. Informed by evidence and experience from other vaccine-preventable diseases, this Equity Matrix could be valuable to countries across the social gradient to slow the spread of SARS-CoV-2 by abating the spread of inequities. In the race to SARS-CoV-2 vaccines, this urgently needed roadmap can effectively and efficiently steer global leadership towards equitable allocation with diverse strategies for diverse inequities. Such a roadmap has been absent from discussions on managing the COVID-19 pandemic, and is critical for our passage out of it.

The Relationship between Body Mass Index and Incident Diabetes Mellitus in Chinese Aged Population: A Cohort Study

OBJECTIVES

Previous studies reported that overweight older adults had a lower mortality after cardiovascular diseases attack, indicating being thinner might not always be better. However, there is an ongoing debate about what is the optimal range of body mass index (BMI) for the aged population. We aimed to evaluate the value of BMI for the prediction of incident diabetes mellitus (DM) in the Chinese elderly population.

METHODS

A total number of 6,911 Chinese elderly people (4,110 men and 2,801 women, aged 71 ± 6.0 years) were included in this cohort study. BMI was measured at baseline (Jan 1, 2014, to Dec 31, 2014). All the participants were further classified into six groups: <18.5 kg/m², 18.5 to <22.5 kg/m², 22.5 to <25.0 kg/m², 25.0 to <27.5 kg/m², 27.5 to <30.0 kg/m², and ≥30.0 kg/m². Fasting blood glucose (FBG) and glycated hemoglobin A1c (HbA1c) were annually measured during follow-up (Jan 1, 2015-May 31, 2019). DM was confirmed if either FBG ≥ 7.0 mmol/L or HbA1c ≥ 6.5%. We used the Cox proportional hazard regression model to evaluate the association between BMI and the prediction of incident DM.

RESULTS

Comparing individuals with a BMI range of 18.5 to <22.5 kg/m² (reference), the hazard ratio for incident DM was 2.13 (95% CI: 1.54~2.95), 2.14 (95% CI: 1.53~3.00), 3.17 (95% CI: 2.19~4.59), 3.15 (95% CI: 1.94~5.09), and 3.14 (95% CI: 1.94~5.09) for the group with a BMI range of 22.5 to <25.0 kg/m², 25.0 to <27.5 kg/m², 27.5 to <30.0 kg/m², and ≥30.0 kg/m² after adjusting for baseline age, sex, blood pressure, lipid profiles, and eGFR (P trend < 0.001), after adjusting for the abovementioned confounders. The association tended to be closer in men and young participants, compared with their counterparts.

CONCLUSIONS

High BMI was associated with a high risk of developing DM in the Chinese aged population. Thus, it is optimal for the aged population to maintain their body weight within a reasonable range to prevent chronic diseases.

Risk factors, incidence, and prevalence of diabetes among rural farm and non-farm residents of Saskatchewan, Canada; a population-based longitudinal cohort study

PURPOSE

Saskatchewan has a high prevalence of diabetes. It is the largest, rurally populated, predominantly agricultural province in Canada. This research aims to determine the risk factors associated with the incidence and longitudinal changes in the prevalence of diabetes among Saskatchewan's adult rural farm and non-farm residents.

METHODS

The Saskatchewan Rural Health Study (SRHS) is a prospective cohort study conducted in two phases: a baseline survey (2010, 8261 participants) and a follow-up survey (2014, 4867 participants). Generalized estimation equations and survival analysis techniques were used to determine diabetes prevalence and incidence risk factors, respectively.

RESULTS

Incidence of diabetes among rural residents was 2.75%. Positive family history, high BMI, sleep apnea and an abnormal Epworth Sleepiness Score (ESS) were significant predictors for diabetes incidence. A substantial increase (1.98%) of diabetes prevalence was observed after four years of follow-up. Risk factors of diabetes prevalence were increasing age, male, low income, positive family history, high BMI, hypertension and heart attack.

CONCLUSION

A mix of individual and contextual factors interacting in complex pathways were responsible for the high incidence and prevalence of diabetes among rural residents. The most original finding of that study was a positive association of sleep apnea, and ESS with incident diabetes warrants further research to identify a causal linkage. Increased diabetes risk among rural male insecticide users indicates an adverse consequence of unprotected chemical exposures in the agricultural field. Urgent population-based preventive measures should initiate to slow the increasing trend of diabetes prevalence among rural residents.

Implications of the COVID-19 Pandemic for Cardiovascular Disease and Risk-Factor Management

COVID-19 and our public health responses to the pandemic may have far-reaching implications for cardiovascular (CV) risk, affecting the general population and not only survivors of COVID-19. In this narrative review, we discuss how the pandemic may affect general CV risk for years to come and explore the mitigating potential of telehealth interventions. From a health care perspective, the shift away from in-person office visits may have led many to defer routine risk- factor management and may have had unforeseen effects on continuity of care and adherence. Fear of COVID-19 has led some patients to forego care for acute CV events. Curtailment of routine outpatient laboratory testing has likely delayed intensification of risk-factor–modifying medical therapy, and drug shortages and misinformation may have negative impacts on adherence to antihypertensive, glucose-lowering, and lipid-lowering agents. From a societal perspective, the unprecedented curtailment of social and economic activities has led to loss of income, unemployment, social isolation, decreased physical activity, and increased frequency of depression and anxiety, all of which are known to be associated with worse CV risk-factor control and outcomes. We must embrace and evaluate measures to mitigate these potential harms to avoid an epidemic of CV morbidity and mortality in the coming years that could dwarf the initial health effects of COVID-19.

An Evaluation of the Reach and Effectiveness of a Diabetes Prevention Behaviour Change Program Situated in a Community Site

More than 350 million people are living with prediabetes. Preventing type 2 diabetes (T2D) progression can reduce morbidity, mortality and health-care costs. Interventions can support people with diet and physical activity behaviour changes; however, many interventions are university-based, posing barriers (e.g. accessibility, limited reach and maintenance), which highlight the need for community intervention. Limited research has comprehensively evaluated programs in community contexts. The purpose of this study was to pragmatically examine the reach and effectiveness of a diabetes prevention behaviour change program in the community using the RE-AIM framework. Demographic and outcome data were collected through telephone screening and survey data, and analyzed using descriptive and multivariate analyses. Over 2 years, 9,954 individuals were identified by a medical laboratory as living with prediabetes. Information letters were sent by the laboratory to individuals upon physician approval (N=2,241, 22.5%) as a main form of recruitment. From this, 271 individuals and an additional 160 individuals via other recruitment methods contacted the research team (N=431). Two hundred thirteen adults with prediabetes were enrolled (87.4% Caucasian, 69.7% female; 95% program completion). Analyses of 6-month follow-up data revealed significant maintenance of reductions in weight and waist circumference and improvements in physical function, self-reported physical activity and all-food frequency items except fruit intake (N=121, d=0.21 to 0.68, p <0.05 to 0.001). The program demonstrated diabetes risk-reducing benefits for enrolled individuals. Future work is needed to increase physician referral and participant response rates and to explore program expansion through digitization to reach more individuals at risk of developing T2D.

Investigation of geographic disparities of pre-diabetes and diabetes in Florida

BACKGROUND

Diabetes is a leading cause of death and disability in the United States, and its precursor, pre-diabetes, is estimated to occur in one-third of American adults. Understanding the geographic disparities in the distribution of these conditions and identifying high-prevalence areas is critical to guiding control and prevention programs. Therefore, the objective of this study was to investigate clusters of pre-diabetes and diabetes risk in Florida and identify significant predictors of the conditions.

METHODS

Data from the 2013 Behavioral Risk Factor Surveillance System were obtained from the Florida Department of Health. Spatial scan statistics were used to identify and locate significant high-prevalence local clusters. The county prevalence proportions of pre-diabetes and diabetes and the identified significant clusters were displayed in maps. Logistic regression was used to identify significant predictors of the two conditions for individuals living within and outside high-prevalence clusters.

RESULTS

The study included a total of 34,186 respondents. The overall prevalence of pre-diabetes and diabetes were 8.2 and 11.5%, respectively. Three significant (p < 0.05) local, high-prevalence spatial clusters were detected for pre-diabetes, while five were detected for diabetes. The counties within the high-prevalence clusters had prevalence ratios ranging from 1.29 to 1.85. There were differences in the predictors of the conditions based on whether respondents lived within or outside high-prevalence clusters. Predictors of both pre-diabetes and diabetes regardless of region or place of residence were obesity/overweight, hypertension, and hypercholesterolemia. Income and physical activity level were significant predictors of diabetes but not pre-diabetes. Arthritis, sex, and marital status were significant predictors of diabetes only among residents of high-prevalence clusters, while educational attainment and smoking were significant predictors of diabetes only among residents of non-cluster counties.

CONCLUSIONS

Geographic disparities of pre-diabetes and diabetes exist in Florida. Information from this study is useful for guiding resource allocation and targeting of intervention programs focusing on identified modifiable predictors of pre-diabetes and diabetes so as to reduce health disparities and improve the health of all Floridians.

Spatial pattern and determinants of diagnosed diabetes in southern India: evidence from a 2012-13 population-based survey

The diabetes epidemic is expanding rapidly in India, with 69.2 million people living with diabetes in 2015. This study assessed the spatial pattern and determinants of diagnosed diabetes prevalence in the districts of six states and one union territory (UT) in southern India - a region that has a high prevalence of diabetes. Using cross-sectional population-based survey data from the 2012-13 District Level Household and Facility Survey-4, the prevalence and magnitude of diagnosed diabetes at district level for the population aged 18 years and above were computed. Moran's I was calculated to explore the spatial clustering of diagnosed diabetes prevalence. Ordinary Least Square (OLS) and Spatial Lag (SL) regression models were carried out to investigate the spatial determinants of diagnosed diabetes prevalence. The prevalence of diagnosed diabetes was found to be substantially higher than that of self-reported diabetes in southern India (7.64% vs 2.38%). Diagnosed diabetes prevalence in the study area varied from 10.52% in Goa to 4.89% in Telangana. The Moran's I values signified positive moderate autocorrelation. Southern India had 14.15 million individuals with diagnosed diabetes in 2012-13. Bangalore had the highest number of persons with diagnosed diabetes, and Palakkad had the smallest number. In the OLS and SL models, the proportion of people with secondary education and above, wealthy and Christian populations were found to be significant determinants of diagnosed diabetes prevalence. In addition, in the OLS model, the proportion of Scheduled Tribe population showed a negative relationship with diagnosed diabetes prevalence. In order to prevent or postpone the onset age for diabetes, there is a need to raise awareness about diabetes in India.

Changes in health inequalities for patients with diabetes among middle-aged and elderly in China from 2011 to 2015

BACKGROUND

The purpose of this paper is to measure income-related health inequality among middle-aged and elderly patients with diabetes in China from 2011 to 2015 and to investigate factors that might be related to this inequality.

METHODS

The data for this study were obtained from the China Health and Retirement Longitudinal Study that was carried out in 2011, 2013 and 2015. In total, 48,519 Chinese middle-aged and elderly population were included (15,457 in 2011, 16,576 in 2013 and 16,486 in 2015). A principal component analysis was performed to measure asset-based economic status. The concentration index was used to measure income-related inequality in patients with diabetes. Additionally, by used generalized linear model, we decomposed the concentration index to identify factors that explained wealth-related inequality in patients with diabetes.

RESULTS

The prevalence of self-reported diabetes among middle-aged and elderly Chinese was 5.61, 7.49 and 8.99% in 2011, 2013 and 2015, respectively. The concentration indices and 95% confidence intervals for diabetes were 0.1359 (0.0525-0.0597), 0.1207 (0.0709-0.0789), 0.1021 (0.0855-0.0942) in 2011, 2013, and 2015, respectively, which are indicative of inequality that favors the rich. The decomposition of the concentration index showed that residence (39.38%), BMI (31.16%), education (7.28%), and region (6.09%) had positive contributions to the measured inequality in diabetes in China in 2015. Age (- 29.93%) had a negative contribution to inequality.

CONCLUSION

The findings confirm a health inequality in diabetes that favor the rich. Furthermore, the inequality declined from 2011 to 2015. We suggest that policy and intervention strategies should be developed to alleviate this health inequality, such as narrow the gap between urban and rural areas by improving the urban-rural medical insurance scheme, implementing strategies to enhance hygiene health education, control obesity rate.

Narrative review of affinities and differences between the social determinants of oral and general health in Canada: establishing a common agenda

BACKGROUND

This article overviews Canadian work on the social determinants of oral and general health noting their affinities and differences.

METHODS

A literature search identified Canadian journal articles addressing the social determinants of oral health and/or oral health inequalities. Analysis identified affinities and differences with six themes in the general social determinants of health literature.

RESULTS

While most Canadian social determinants activity focuses on physical and mental health there is a growing literature on oral health-literature reviews, empirical studies and policy analyses-with many affinities to the broader literature. In addition, since Canada provides physical and mental health services on a universal basis, but does not do so for dental care, there is a special concern with the reasons behind, and the health effects-oral, physical and mental-of the absence of publicly financed dental care.

CONCLUSIONS

The affinities between the social determinants of oral health and the broader social determinants of health literature suggests the value of establishing a common research and action agenda. This would involve collaborative research into common social determinants of oral and general health and combined policy advocacy efforts to improve Canadians' living and working conditions as means of achieving health for all.

Collective impact of chronic medical conditions and poverty on perinatal mental illness: population-based cohort study

BACKGROUND

Chronic medical conditions (CMCs) and poverty commonly co-occur and, while both have been shown to independently increase the risk of perinatal mental illness, their collective impact has not been examined.

METHODS

This population-based study included 853 433 Ontario (Canada) women with a singleton live birth and no recent mental healthcare. CMCs were identified using validated algorithms and disease registries, and poverty was ascertained using neighbourhood income quintile. Perinatal mental illness was defined as a healthcare encounter for a mental health or substance use disorder in pregnancy or the first year postpartum. Modified Poisson regression was used to test the independent impacts of CMC and poverty on perinatal mental illness risk, adjusted for covariates, and additive interaction between the two exposures was assessed using the relative excess risk due to interaction (RERI) and synergy index (SI).

RESULTS

CMC and poverty were each independently associated with increased risk of perinatal mental illness (CMC vs no CMC exposure: 19.8% vs 15.6%, adjusted relative risk (aRR) 1.21, 95% CI (CI) 1.20 to 1.23; poverty vs no poverty exposure: 16.7% vs 15.5%, aRR 1.06, 95% CI 1.05 to 1.07). However, measures of additive interaction for the collective impact of both exposures on perinatal mental illness risk were not statistically significant (RERI 0.02, 95% CI -0.01 to 0.06; SI 1.09, 95% CI 0.95 to 1.24).

CONCLUSION

CMC and poverty are independent risk factors for perinatal mental illness and should be assessed as part of a comprehensive management programme that includes prevention strategies and effective screening and treatment pathways.

A population-based study of the association between food insecurity and potentially avoidable hospitalization among persons with diabetes using linked survey and administrative data

Background

Studies have found food insecurity to be more prevalent among persons with diabetes mellitus. Other research using areal-based measures of socioeconomic status have pointed to a social gradient in diabetes hospitalizations, but without accounting for individuals’ health status. Linking person-level data from health surveys to population-based hospital records enables profiling of the role of food insecurity with hospital morbidity, focusing on the high-risk diabetic population.

Objective

This national study aims to assess the association between income-related household food insecurity and potentially avoidable hospital admissions among community-dwelling persons living with diagnosed diabetes.

Methods

We use three cycles of the Canadian Community Health Survey (2007, 2008, and 2011) linked to multiple years of hospital records from the Discharge Abstract Database (2005/06 to 2012/13), covering 12 of Canada’s 13 provinces and territories. We apply multiple logistic regression for testing the association of household food insecurity with the risk of hospitalization for diabetes and common comorbid ambulatory care sensitive conditions among persons aged 12 and over living with diabetes.

Analysis

Data linkage allowed us to analyze inpatient hospital records among 10,260 survey respondents with diabetes; 590 respondents had been hospitalized at least once for diabetes or a common comorbid chronic physical or mental illness. The regression results indicated that the odds of experiencing a preventable hospital admission were significantly higher among persons with diabetes who were food insecure compared to their counterparts who were food secure (OR=1.66 [95%CI=1.24-2.23]), after controlling for age, sex and other characteristics.

Conclusion

We found food insecurity to significantly increase the odds of hospital admission for ambulatory care sensitive conditions among Canadians living with diabetes. These results reinforce the need to consider food insecurity in public health and clinical strategies to reduce the hospital burden of diabetes and other nutrition-related chronic diseases, from primary prevention to post-discharge care.

Interplay of regional economic development, income, gender and type 2 diabetes: evidence from half a million Chinese

BACKGROUND

Following the rapid economic growth, there has been a strong disparity of regional development and personal income in China. Type 2 diabetes mellitus (T2DM) may be influenced by socioeconomic status at both the societal and individual levels. This study examines the associations of regional economic development, household income and gender on T2DM.

METHOD

Data from the baseline of a Chinese population-based study of approximately 500 000 adults from 10 areas were analysed. Clinically identified and screen-detected T2DM were examined. Regional economic development was indicated by gross domestic product (GDP) per capita. A logistic regression-based method was used to calculate the adjusted prevalence.

RESULT

The prevalence of T2DM was significantly higher in medium GDP per capita areas for both males (7.04%, 95% CI 6.82% to 7.26%) and females (6.04%, 95% CI 5.86% to 6.22%) compared with areas of other levels of economic development. The different shapes of associations between household income and T2DM prevalence were observed in different GDP per capita areas. There were strong gender differences in terms of both the trend and strength of association between household income and T2DM prevalence.

CONCLUSIONS

Findings from this study underscore the importance of economic conditions and gender difference on T2DM. It suggests that strategies for diabetes prevention should address social-economic differences besides a person-centred approach.

The global diabetes epidemic and the nonprofit state corporate complex: Equity implications of discourses, research agendas, and policy recommendations of diabetes nonprofit organizations

Important insights have been gained from studying how corporate social actors -- such as Big Tobacco or Big Food -- influence how global health issues are framed, debated, and addressed, and in so doing contribute to reproducing health inequities. Less attention has been paid to the role of nonprofit organizations (NPOs), even when all too often NPOs actively contribute to these inequities through normalizing discourses and practices that legitimize establishment views, poor public policies and existing relations of power. Our study attempts to fill this gap by assessing the influence on global health inequities of major NPOs -- specifically three disease associations -- whose mission includes preventing type 2 diabetes (henceforth diabetes) or reducing inequities in the global diabetes epidemic. No longer considered a "disease of prosperity", diabetes is known to affect the poor and racialized minorities disproportionately, in countries at all levels of income. While the contribution of the social and political determinants of health is well established, major NPOs ostensibly committed to eradicate, or at least moderate the effects of, diabetes give short shrift to these determinants, framing them at best as the context that promotes behaviours that combine with genetic predispositions to drive the inequitable, global distribution of diabetes. Drawing from Marxian theory and critical discourse analysis, we assess publicly available information - on educational and policy prescriptions, funding sources, corporate affiliations, funded research and social media presence -- pertaining to one Canadian, one US and one international NPO to identify discourses and practices that may contribute to the global, unequal distribution of diabetes and elaborate on their implications for health equity more broadly.

A Narrative Review of Diabetes Group Visits in Low-Income and Underserved Settings

BACKGROUND

Prior studies have supported the efficacy of diabetes group visits. However, the benefit of diabetes group visits for low-income and underserved individuals is not clear. The purpose of this study was to conduct a narrative review in order to clarify the efficacy of diabetes group visits in low-income and underserved settings.

METHODS

The authors performed a narrative review, categorizing studies into nonrandomized and randomized.

RESULTS

A total of 14 studies were identified. Hemoglobin A1c was the most commonly measured outcome, which improved for the majority of group visit participants. Preventive care showed consistent improvement for intervention arms. There were several other study outcomes including metabolic (i.e., blood pressure), behavioral (i.e., exercise), functional (i.e., quality of life), and system-based (i.e., cost).

CONCLUSION

Diabetes group visits for low-income and underserved individuals resulted in superior preventive care but the impact on glycemic control remains unclear.

Strength training is associated with better functional fitness and perceived healthy aging among physically active older adults: a cross-sectional analysis of the Canadian Longitudinal Study on Aging

BACKGROUND

Regular participation in strength exercise is important to promote healthy aging. However, much of the available evidence on physical activity and older adults has focused on aerobic activity, while there is less research on the benefits of exercise that is performed specifically to strengthen muscles.

AIMS

Using cross-sectional data from the Canadian Longitudinal Study on Aging, the purpose of this study was to determine if strength training is associated with better functional fitness and health among older adults who meet the minimum guidelines for aerobic physical activity.

METHODS

Older adults who met guidelines for aerobic physical activity (≥ 60 years, N = 9100) completed performance-based assessments of physical function and self-reported their physical activity, perceived health, and chronic conditions. Body fat was determined using DEXA. Logistic regression analyses were used to determine whether strength training was associated with better functional fitness, body composition, and health.

RESULTS

32.5% of active older adults reported engaging in strength training 1-7 days per week. Participating in any strength training was associated with better scores on measures of balance (OR 1.17, CI 1.04, 1.32), mobility (OR 1.32, CI 1.18, 1.47), body fatness (OR 1.58, CI 1.38, 1.81), and better perceived health (OR 1.34, CI 1.19, 1.51), and healthy aging (OR 1.26, CI 1.12, 1.42).

DISCUSSION

These results suggest that all older adults, even those who are active and have good mobility, may benefit from strength training.

CONCLUSION

Physical activity guidelines should place a greater emphasis on strength training for older adults.

The contribution of health behaviors to socioeconomic inequalities in health: A systematic review

Unhealthy behaviors and their social patterning have been frequently proposed as factors mediating socioeconomic differences in health. However, a clear quantification of the contribution of health behaviors to the socioeconomic gradient in health is lacking. This study systematically reviews the role of health behaviors in explaining socioeconomic inequalities in health. Published studies were identified by a systematic review of PubMed, Embase and Web-of-Science. Four health behaviors were considered: smoking, alcohol consumption, physical activity and diet. We restricted health outcomes to cardiometabolic disorders and mortality. To allow comparison between studies, the contribution of health behaviors, or the part of the socioeconomic gradient in health that is explained by health behaviors, was recalculated in all studies according to the absolute scale difference method. We identified 114 articles on socioeconomic position, health behaviors and cardiometabolic disorders or mortality from electronic databases and articles reference lists. Lower socioeconomic position was associated with an increased risk of all-cause mortality and cardiometabolic disorders, this gradient was explained by health behaviors to varying degrees (minimum contribution -43%; maximum contribution 261%). Health behaviors explained a larger proportion of the SEP-health gradient in studies conducted in North America and Northern Europe, in studies examining all-cause mortality and cardiovascular disease, among men, in younger individuals, and in longitudinal studies, when compared to other settings. Of the four behaviors examined, smoking contributed the most to social inequalities in health, with a median contribution of 19%. Health behaviors contribute to the socioeconomic gradient in cardiometabolic disease and mortality, but this contribution varies according to population and study characteristics. Nevertheless, our results should encourage the implementation of interventions targeting health behaviors, as they may reduce socioeconomic inequalities in health and increase population health.

Socioeconomic status is associated with global diabetes prevalence

The incidence of diabetes is increasing globally. We investigated the relationship between diabetes prevalence and patient socioeconomic status across multiple countries. We searched PubMed to identify population-based surveys reporting diabetes prevalence between 1990 and May 2016. Search results were filtered, and Human Development Index (HDI) values from the United Nations Development Programme were used to assess socioeconomic status for a given nation. Our analysis included 45 national surveys from 32 countries. Diabetes prevalence was positively correlated with national HDI (r = 0.421 P = 0.041) in developing countries, and negatively correlated with HDI (r = −0.442 P = 0.045) in developed countries. Diabetes prevalence trends were the same in women and men, although men were associated with increased diabetes risk in developed countries (r = 0.459 P = 0.048). Thus, diabetes prevalence rises with increasing HDI in developing countries, and this is reversed in developed countries. Ours is the first study to investigate the relationship between diabetes and socioeconomic status at global level using HDI values. These results will aid in evaluating global diabetes prevalence and risk with respect to patient socioeconomic status, and will be useful in the development of policies that help reduce disease incidence.

Investigating the Early Life Determinants of Type-II Diabetes Using a Project Talent-Medicare Linked Data-set

The increasing prevalence of Type II Diabetes (T2D) presents a serious health and financial public crisis. Our study examines the hypothesis that adolescents' perceptions of economic insecurity, along with absolute and relative socioeconomic status (SES), can contribute to T2D prevalence later in life. Project Talent (PT) Survey data, collected on high school students in 1960, have been linked to Medicare records from 2012, presenting a unique opportunity to examine measures gathered in adolescence and T2D prevalence later-in-life among a large, national, and diverse sample (n=88,849). Our results provide compelling evidence that real, perceived, and relative SES in adolescence have persistent impacts on later-in-life diabetes risk, even when controlling for possible confounders such as cognitive ability, conscientiousness, and early-adulthood educational attainment.

Evolving Trends in the Epidemiology, Risk Factors, and Prevention of Type 2 Diabetes: A Review

Currently, the global prevalence of diabetes is 8.8%. This figure is expected to increase worldwide, with the largest changes projected to occur in low- and middle-income countries. The aging of the world's population and substantial increases in obesity have contributed to the rise in diabetes. Global shifts in lifestyles have led to the adoption of unhealthy behaviours such as physical inactivity and poorer-quality diets. Correspondingly, diabetes is a rapidly-increasing problem in higher- as well as lower-income countries. In Canada, the prevalence of diabetes increased approximately 70% in the past decade. Although diabetes-related mortality rates have decreased in Canada, the number of people affected by diabetes has continued to grow because of a surge in the number of new diabetes cases. Non-European ethnic groups and individuals of lower socioeconomic status have been disproportionately affected by diabetes and its risk factors. Clinical trials have proven efficacy in reducing the onset of diabetes in high-risk populations through diet and physical activity interventions. However, these findings have not been broadly implemented into the Canadian health care context. In this article we review the evolving epidemiology of type 2 diabetes, with regard to trends in occurrence rates and prevalence; the role of risk factors including those related to ethnicity, obesity, diet, physical activity, socioeconomic status, prediabetes, and pregnancy; and the identification of critical windows for lifestyle intervention. Identifying high-risk populations and addressing the upstream determinants and risk factors of diabetes might prove to be effective diabetes prevention strategies to curb the current diabetes epidemic.

Socioeconomic Factors and Inequality in the Prevalence and Treatment of Diabetes among Middle-Aged and Elderly Adults in China

BACKGROUND

In China, the prevalence of diabetes has increased significantly over recent decades, owing to the county's rapidly aging population. Although many studies have examined the prevalence of diabetes worldwide, there has been little analysis of the inequalities in its prevalence and treatment among middle-aged and elderly people.

OBJECTIVES

This study evaluates influence factors and inequality in respect to the prevalence of diabetes and medication treatment among middle-aged and elderly Chinese adults.

METHODS

Data were obtained from the China Health and Retirement Longitudinal Study, a nationally representative household survey of middle-aged and elderly people (i.e., 45 years of age or older). Logistic regression models and the concentration index were used to estimate socioeconomic factors and inequalities in diabetes prevalence and treatment.

RESULTS

The prevalence of self-reported diabetes among middle-aged and elderly Chinese adults was 8.4%; this figure was significantly higher in urban areas than in rural areas. Concentrations of prevalence were observed among the poor in urban areas and among the rich in rural areas. Overall, the incidence of receiving antidiabetic medication among diabetes patients was 64.3%; this was significantly higher for individuals in urban areas than those in rural areas, suggesting that awareness of diabetes treatment in urban areas is better than that in rural areas. A disproportionate concentration of incidence of receiving antidiabetic medication was observed among the rich in both urban and rural areas. Socioeconomic factors significantly affected the prevalence of diabetes and the likelihood of receiving medication and are major contributors to inequality.

CONCLUSION

In China, policies and strategies regarding diabetes prevention and control should further focus on associated socioeconomic factors and major contributors to reduce diabetes prevalence, improve diabetes treatment and management, and alleviate current inequality in the prevalence and treatment of diabetes among middle-aged and elderly adults.

Socioeconomic status and prevalence of type 2 diabetes in mainland China, Hong Kong and Taiwan: a systematic review

BACKGROUND

China is estimated to have had the largest number of people with diabetes in the world in 2015, with extrapolation of existing data suggesting that this situation will continue until at least 2030. Type 2 diabetes has been reported to be more prevalent among people with low socioeconomic status (SES) in high-income countries, whereas the opposite pattern has been found in studies from low- and middle-income countries. We conducted a systematic review to describe the cross-sectional association between SES and prevalence of type 2 diabetes in Chinese in mainland China, Hong Kong and Taiwan.

METHODS

We conducted a systematic literature search in Medline, Embase and Global Health electronic databases for English language studies reporting prevalence or odds ratio for type 2 diabetes in a Chinese population for different SES groups measured by education, income and occupation. We appraised the quality of included studies using a modified Newcastle-Ottawa Scale. Heterogeneity of studies precluded meta-analyses, therefore we summarized study results using a narrative synthesis.

RESULTS

Thirty-three studies met the inclusion criteria and were included in the systematic review. The association between education, income and occupation and type 2 diabetes was reported by 27, 19 and 12 studies, respectively. Most, but not all, studies reported an inverse association between education and type 2 diabetes, with odds ratios (OR) and 95% confidence interval (CI) ranging from 0.39 (CI not reported) to 1.52 (95% CI 0.91 - 2.54) for the highest compared to the lowest education level. The association between income and type 2 diabetes was inconsistent between studies. Only a small number of studies identified a significant association between occupation and type 2 diabetes. Retired people and people working in white collar jobs were reported to have a higher risk of type 2 diabetes than other occupational groups even after adjusting for age.

CONCLUSIONS

This first systematic review of the association between individual SES and prevalence of type 2 diabetes in China found that low education is probably associated with an increased prevalence of type 2 diabetes, while the association between income and occupation and type 2 diabetes is unclear.

Socioeconomic status and type 2 diabetes complications among young adult patients in Japan

Objective

To assess the relationship between socioeconomic status (SES) and complications of type 2 diabetes among young adults in Japan.

Design

A cross-sectional study.

Setting

Outpatient wards of 96 member hospitals and clinics of the Japan Federation of Democratic Medical Institutions.

Participants

A total of 782 outpatients with type 2 diabetes (525 males, 257 females), aged 20–40 years as of March 31, 2012. After excluding 110 participants whose retinopathy diagnosis was in question, 672 participants were analyzed.

Measurements

We examined the relations between SES (educational level, income, type of public healthcare insurance, and employment status) and diabetes complications (retinopathy and nephropathy) using a multivariate logistic regression analysis.

Results

The prevalence of type 2 diabetic retinopathy was 23.2%, while that of nephropathy was 8.9%. The odds of having retinopathy were higher among junior high school graduates (OR 1.91, 95% CI 1.09–3.34), patients receiving public assistance (OR 2.19, 95% CI 1.20–3.95), and patients with irregular (OR 1.72, 95% CI 1.03–2.86) or no employment (OR 2.23, 95% CI 1.36–3.68), compared to those with a higher SES, even after covariate adjustment (e.g., age, gender, body mass index). Similarly, the odds of having nephropathy were higher among patients with middle (OR 3.61, 95% CI 1.69–8.27) or low income levels (OR 2.53, 95% CI 1.11–6.07), even after covariate adjustment.

Conclusions

Low SES was associated with a greater likelihood of type 2 diabetes complications in young adults. These findings suggest the necessity of health policies that mitigate socioeconomic disparity and thereby reduce the prevalence of diabetic complications.

Analysis using national databases reveals a positive association between dietary polyunsaturated fatty acids with TV watching and diabetes in European females

In recent years, dietary polyunsaturated fatty acids (PUFA) have increased in parallel to sedentary behavior and diabetes across the world. To test any putative association between dietary PUFA and sedentary behavior or diabetes in females, we obtained country-specific, cross-sectional data on sedentary activity and diabetes prevalence from European Cardiovascular Statistics 2012. Age and gender-specific, nutritional data from each country were obtained from nutritional surveys as well. Socioeconomic (GDP), physical environment (urbanization index) and climatic confounders were accounted for each country. Upon analysis, we found a strong, positive association between sedentary lifestyle in 11-yr old girls (> = 2 hours of TV/ weekday) and dietary PUFA across 21 European countries. Further, a weak association of dietary PUFA and a strong relationship of per-capita GDP was established with elevated fasting blood glucose [(> = 7.0 mmol/L; or on medication] among 25+ year old adult females across 23 countries in Europe. In summary, we present novel ecological evidence that dietary PUFA is strongly associated with sedentary behavior among pre-teen girls and weakly associated with diabetes among adult women across Europe. In the latter group, per-capita GDP was a significant predictor for diabetes as well. Therefore, we recommend that prospective randomized controlled trials (RCTs) be implemented to evaluate if ubiquitous presence of dietary PUFA and low socioeconomic status are possible confounders when intervening to treat/prevent sedentary lifestyle or diabetes in female subjects in Western nations.

Uptake of Community Pharmacist-Delivered MedsCheck Diabetes Medication Review Service in Ontario between 2010 and 2014

OBJECTIVES

The objective of the study was to describe the demographic and clinical characteristics of MedsCheck Diabetes (MCD) recipients in Ontario between program launch on September 1, 2010, and March 31, 2014.

METHODS

This cohort study leveraged linked administrative claims data. Trends in MCD claims and recipient characteristics were examined.

RESULTS

A total of 406,694 Ontarians (45.8% women) received an MCD, representing approximately half of all Ontarians with diabetes. Recipients were more likely to be <66 years of age (54.6%), live in an urban centre (94.6%) and be native to Canada (81.0%). A total of 13,587 MCD follow ups were completed (4.1% of MCD recipients ≥66 years of age and 2.7% of MCD recipients <66 years of age). MCD recipients ≥66 years of age had received a mean of 11 unique prescription medications in the previous year, prior to receiving an MCD, and 12.9% had had high medication costs ($4000+) in the previous year. Metformin was dispensed to 76.4% of recipients, insulin to 20.1% and insulin secretagogues to 36.2%. The most common medication classes used by MCD recipients, other than antihyperglycemics, were antihypertensives (89.5%), antilipid therapies (83.8%), diuretics (52.1%), antibiotics (38.2%) and gastroprotective agents (34.9%). They were also taking high-risk medications, including narcotics (25.4%), anticoagulants (23.3%), nonsteroidal anti-inflammatory drugs (NSAIDs) (21.5%), benzodiazepines (15.5%) and glyburide (15.8%).

CONCLUSIONS

Over the first 3.5 years of the program, approximately half of Ontarians with diabetes received an MCD. Follow-up assessments were low (2.7% to 4.1% of the population). Ongoing evaluation of the program is required to ensure that continuity of care is being provided to this population.

Exploring the social and neighbourhood predictors of diabetes: a comparison between Toronto and Chicago

OBJECTIVES

This report examined the impact and extent that spatial access to primary care physicians (PCPs) and social neighbourhood-/community-level factors have on diabetes prevalence for Toronto and Chicago.

METHODS

The two-step floating catchment area method was used to compute spatial access scores. Bivariate correlation and multivariate linear regression identified the factors that were associated with, and/or predicted, diabetes prevalence.

RESULTS

Potential spatial access to PCPs had no strong associations with diabetes prevalence. Low socio-economic status factors and certain ethnic groups were strongly associated with diabetes prevalence for both cities. For Toronto, South American place of birth, households below poverty and high school-level education predicted diabetes prevalence. African ethnicity and households below poverty predicted diabetes prevalence for Chicago.

CONCLUSION

Although this report found no strong association between diabetes prevalence and access to PCPs, contextual factors significant in past individual-level diabetes studies were associated with diabetes prevalence at the neighbourhood/community level for Toronto and Chicago.

Call to action: A new path for improving diabetes care for Indigenous peoples, a global review

Diabetes has reached epidemic proportions in Indigenous populations around the globe, and there is an urgent need to improve the health and health equity of Indigenous peoples with diabetes through timely and appropriate diabetes prevention and management strategies. This review describes the evolution of the diabetes epidemic in Indigenous populations and associated risk factors, highlighting gestational diabetes and intergenerational risk, lifestyle risk factors and social determinants as having particular importance and impact on Indigenous peoples. This review further describes the impact of chronic disease and diabetes on Indigenous peoples and communities, specifically diabetes-related comorbidities and complications. This review provides continued evidence that dramatic changes are necessary to reduce diabetes-related inequities in Indigenous populations, with a call to action to support programmatic primary healthcare transformation capable of empowering Indigenous peoples and communities and improving chronic disease prevention and management. Promising strategies for transforming health services and care for Indigenous peoples include quality improvement initiatives, facilitating diabetes and chronic disease registry and surveillance systems to identify care gaps, and prioritizing evaluation to build the evidence-base necessary to guide future health policy and planning locally and on a global scale.