Differences in prevalence of diabetes among immigrants to Canada from South Asian countries

Comparing quality of diabetes care between immigrants and non-immigrants within dimensions of marginalization: A population-based cohort study

AIMS

Immigrants in western countries face an increased risk of developing diabetes and have been shown to receive lower quality of diabetes care. However, it is uncertain whether this disparity in care persists when comparing immigrants and non-immigrants with similar levels of marginalization with respect to the social determinants of health.

METHODS

Using population-based healthcare administrative data linked to immigration and neighbourhood census data, we conducted a retrospective cohort study of all people aged ≥ 40 years with diabetes in Ontario, Canada on 1 April 2019. Process measures (testing for HbA1c, LDL-cholesterol and urine albumin-creatinine ratio; eye examinations; and appropriate prescriptions) and outcome measures (achieving guideline-recommended targets for laboratory tests) over the following year were ascertained. They were compared between immigrants and non-immigrants overall and within the highest and lowest quintiles of three measures of marginalization: material deprivation, residential instability and dependency.

RESULTS

There were 1,449,589 people with diabetes included in the study (22.6 % immigrants). Immigrants were less likely than non-immigrants to achieve many of the process quality indicators and were less likely to achieve both HbA1c and LDL-cholesterol targets. These findings were similar when stratified within the highest and lowest quintiles of material deprivation, residential instability and dependency.

CONCLUSIONS

Even within similar levels of marginalization, immigrants were less likely to achieve many quality indicators for diabetes care than non-immigrants. This finding suggests that the gap in quality of care between immigrants and non-immigrants is not simply due to differences in these social determinants of health, and highlights the intersecting impact of immigration and marginalization. However, the disparities were relatively small, so the greater issue is the overall low achievement of these quality indicators among all people with diabetes.

Factors associated with exposure to tuberculosis education among internal migrants with diabetes in China: a multilevel regression analysis of cross-sectional data from the 2017 China Migrants Dynamic Survey

OBJECTIVE

Individuals with diabetes are at high risk for tuberculosis (TB) infection. This study aimed to identify the barriers to access to TB education among internal migrants with diabetes in China.

DESIGN

Cross-sectional study.

SETTING

The 2017 China Migrants Dynamic Survey.

PARTICIPANTS

1978 migrants with diabetes were included. Consumer-side and provider-side factors both at the individual and the provincial level were considered.

OUTCOME MEASURES

Two-level and multivariate logistic regression models were established to identify the factors associated with exposure to TB education among migrants with diabetes over the past year at their migration destination.

RESULTS

Slightly more than one-third (33.52%) of the study participants received TB education. Individuals residing in provinces with higher TB death rates (adjusted OR (AOR)=1.48, 95% CI 1.02 to 2.15) and higher government spending as a proportion of total health expenditure (AOR=2.06, 95% CI 1.41 to 3.02) were more likely to be exposed to TB education. Higher individual awareness of essential public health services (AOR=3.52, 95% CI 2.69 to 4.59), establishment of personal health records at the migration destination (AOR=1.46, 95% CI 1.12 to 1.90), participation in community monitoring of hypertension/diabetes (AOR=1.95, 95% CI 1.52 to 2.51) and other factors were significant predictors of exposure to TB education (p<0.05). Participants older than 60 years were 27% less likely to receive TB education (AOR=0.73, 95% CI 0.54 to 0.99) compared with others.

CONCLUSION

The coverage of TB education among internal migrants with diabetes in China was lower than in some local communities, particularly among those who were older and had migrated long distances. Improving awareness of and access to basic public health services and social inclusion are critical to improving TB education.

Culturally Tailored Strategies to Enhance Type 2 Diabetes Care for South Asians in the United States

South Asian immigrants in the United States face an elevated risk of developing type 2 diabetes (T2DM). This phenomenon has been linked to lifestyle factors and social determinants of health (SDOH) such as high-carbohydrate diet, limited physical activity, and stress from assimilation and other life challenges. Unfortunately, barriers stemming from language discordance, low health literacy, and certain cultural practices can hinder effective clinical management of T2DM among South Asian immigrants. In this perspective, we address these sociocultural barriers and propose culturally informed recommendations to improve healthcare delivery for South Asian groups and empower South Asian patients to self-manage T2DM. Our recommendations include (1) considerations and support for SDOH in South Asian communities, (2) culturally tailored healthcare delivery for South Asians, (3) mHealth technologies for T2DM education and self-management; and (4) enhanced epidemiological and South Asian-centric research.

Determinants, Prevention, and Incidence of Cardiovascular Disease Among Immigrant and Refugee Populations

Immigration policies shape the composition, socioeconomic characteristics, and health of migrant populations. The health of migrants is also influenced by a confluence of social, economic, environmental, and political factors. Immigrants and refugees often face various barriers to accessing health care because of factors such as lack of familiarity with navigating the health care system, language barriers, systemic racism, and gaps in health insurance. Social determinants of health and access to primary care health services likely influence the burden of cardiovascular risk factors among immigrants. The relatively low burden of many cardiovascular risk factors in many immigrant populations likely contributes to the generally lower incidence rates of acute myocardial infarction, heart failure, and stroke in immigrants compared with nonimmigrants, although cardiovascular disease incidence rates vary substantially by country of origin. The "healthy immigrant effect" is the hypothesis that immigrants to high-income countries, such as Canada, are healthier than nonimmigrants in the host population. However, this effect may not apply universally across all immigrants, including recent refugees, immigrants without formal education, and unmarried immigrants. As unfolding sociopolitical events generate new waves of global migration, policymakers and health care providers need to focus on addressing social and structural determinants of health to better manage cardiovascular risk factors and prevent cardiovascular disease, especially among the most marginalized immigrants and refugees.

Beyond the Body: Using Photovoice to Explore Social Determinants of Diabetes With South Asian Adolescents in the Peel Region of Ontario, Canada

OBJECTIVES

The higher prevalence of diabetes in the South Asian (SA) population living in Canada spans across generations and is often associated with individual risk factors while undermining the social determinants of health (SDOH). There is a scarcity of studies on the perspectives of SA adolescents with a family history of type 2 diabetes mellitus (T2DM). Learning directly from these adolescents can fill a major gap by providing insight on how the SDOH contribute to disproportionate rates of T2DM in SA immigrant communities.

METHODS

In this study, we used Photovoice, which is a community-based participatory research (CBPR) method that involves the use of photography to visually capture the challenges of diabetes prevention from the perspective of those with lived experiences. A group of 15 SA youth were recruited from an adolescent diabetes education program in the Peel Region of Ontario. The youth discussed their images and accompanied written narratives during focus groups.

RESULTS

Four themes emerged from the thematic analysis of the photographs and participant narratives that influence the manifestation of T2DM in SA communities: 1) immigration and resettlement stressors; 2) food insecurity; 3) unhealthy school environments; and 4) academic pressures.

CONCLUSIONS

Findings suggest the need to address T2DM as a response to unjust conditions and environments rather than as an epidemic entrenched in genetic predisposition, culture, and poor lifestyle choices.

Vascular Regenerative Cell Deficiencies in South Asian Adults

BACKGROUND

South Asian individuals shoulder a disproportionate burden of cardiometabolic diseases.

OBJECTIVES

The purpose of this study was to determine if vascular regenerative cell content varies significantly between South Asian and White European people.

METHODS

Between January 2022 and January 2023, 60 South Asian and 60 White European adults with either documented cardiovascular disease or established diabetes with ≥1 other cardiovascular risk factor were prospectively enrolled. Vascular regenerative cell content in venous blood was enumerated using a flow cytometry assay that is based on high aldehyde dehydrogenase (ALDHhi) activity and cell surface marker phenotyping. The primary outcome was the difference in frequency of circulating ALDHhi progenitor cells, monocytes, and granulocytes between the 2 groups.

RESULTS

Compared with White European participants, those of South Asian ethnicity were younger (69 ± 10 years vs 66 ± 9 years; P < 0.05), had lower weight (88 ± 19 kg vs 75 ± 13 kg; P < 0.001), and exhibited a greater prevalence of type 2 diabetes (62% vs 92%). South Asian individuals had markedly lower circulating frequencies of pro-angiogenic ALDHhiSSClowCD133+ progenitor cells (P < 0.001) and ALDHhiSSCmidCD14+CD163+ monocytes with vessel-reparative capacity (P < 0.001), as well as proportionally more ALDHhi progenitor cells with high reactive oxygen species content (P < 0.05). After correction for sex, age, body mass index, and glycated hemoglobin, South Asian ethnicity was independently associated with lower ALDHhiSSClowCD133+ cell count.

CONCLUSIONS

South Asian people with cardiometabolic disease had less vascular regenerative and reparative cells suggesting compromised vessel repair capabilities that may contribute to the excess vascular risk in this population. (The Role of South Asian vs European Origins on Circulating Regenerative Cell Exhaustion [ORIGINS-RCE]; NCT05253521).

"The Critical Services Are Out of Reach": Diabetes Management and the Experiences of South Asian Immigrants in Ontario

Type 2 diabetes is a serious chronic condition affecting millions of people worldwide. South Asians (individuals originating from Pakistan, India, Bangladesh, Sri Lanka, and Nepal) represent a high-risk ethnicity for developing type 2 diabetes (T2D) and experience a high prevalence of the disease, even in migrant populations. The objective of this study was to investigate perceptions and experiences of South Asians living with T2D in Ontario, and their utilization of diabetes related services within the provincial healthcare system. Data were obtained from 20 in-depth interviews with South Asian participants diagnosed with T2D and living in the Greater Toronto Area. Our findings indicate a dissatisfaction with Ontario's coverage for diabetes services; varying uptake of recommended health tests, exams, and monitoring equipment; low utilization of additional resources (diabetes centers); and a need for primary care physicians to better facilitate awareness and utilization of available coverages and resources in the community. This study provides support for the fact that even in Canada's universal healthcare system, disparities exist, particularly for ethnic minorities, and that a universal prescription drug coverage component is a crucial step forward to ensure equitable access to health services utilization for all.

Effect of empagliflozin on cardiac remodelling in South Asian and non-South Asian individuals: insights from the EMPA-HEART CardioLink-6 randomised clinical trial

BACKGROUND

This exploratory sub-analysis of the EMPA-HEART CardioLink-6 trial examined whether the previously reported benefit of the sodium-glucose cotransporter 2 (SGLT2) inhibitor empagliflozin on left ventricular (LV) mass (LVM) regression differs between individuals of South Asian and non-South Asian ethnicity.

METHODS

EMPA-HEART CardioLink-6 was a double-blind, placebo-controlled clinical trial that randomised 97 individuals with type 2 diabetes mellitus (T2DM) and coronary artery disease (CAD) to either empagliflozin 10 mg daily or placebo for 6 months. LV parameters and function were assessed using cardiac magnetic resonance imaging. The 6-month changes in LVM and LV volumes, all indexed to baseline body surface area, for South Asian participants were compared to those for non-South Asian individuals.

RESULTS

Compared to the non-South Asian group, the South Asian sub-cohort comprised more males, was younger and had a lower median body mass index. The adjusted difference for LVMi change over 6 months was -4.3 g/m2 (95% confidence interval [CI], -7.5, -1.0; P = 0.042) for the South Asian group and -2.3 g/m2 (95% CI, -6.4, 1.9; P = 0.28) for the non-South Asian group (Pinteraction = 0.45). There was no between-group difference for the adjusted differences in baseline body surface area-indexed LV volumes and LV ejection fraction.

CONCLUSIONS

There was no meaningful difference in empagliflozin-associated LVM regression between South Asian and non-South Asian individuals living with T2DM and CAD in the EMPA-HEART CardioLink-6 trial.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02998970 (First posted on 21/12/ 2016).

Effective questionnaire-based prediction models for type 2 diabetes across several ethnicities: a model development and validation study

Background

Type 2 diabetes disproportionately affects individuals of non-White ethnicity through a complex interaction of multiple factors. Therefore, early disease detection and prediction are essential and require tools that can be deployed on a large scale. We aimed to tackle this problem by developing questionnaire-based prediction models for type 2 diabetes prevalence and incidence for multiple ethnicities.

Methods

In this proof of principle analysis, logistic regression models to predict type 2 diabetes prevalence and incidence, using questionnaire-only variables reflecting health state and lifestyle, were trained on the White population of the UK Biobank (n = 472,696 total, aged 37-73 years, data collected 2006-2010) and validated in five other ethnicities (n = 29,811 total) and externally in Lifelines (n = 168,205 total, aged 0-93 years, collected between 2006 and 2013). In total, 631,748 individuals were included for prevalence prediction and 67,083 individuals for the eight-year incidence prediction. Type 2 diabetes prevalence in the UK Biobank ranged between 6% in the White population to 23.3% in the South Asian population, while in Lifelines, the prevalence was 1.9%. Predictive accuracy was evaluated using the area under the receiver operating characteristic curve (AUC), and a detailed sensitivity analysis was conducted to assess potential clinical utility. We compared the questionnaire-only models to models containing physical measurements and biomarkers as well as to clinical non-laboratory type 2 diabetes risk tools and conducted a reclassification analysis.

Findings

Our algorithms accurately predicted type 2 diabetes prevalence (AUC = 0.901) and eight-year incidence (AUC = 0.873) in the White UK Biobank population. Both models replicated well in the Lifelines external validation, with AUCs of 0.917 and 0.817 for prevalence and incidence, respectively. Both models performed consistently well across different ethnicities, with AUCs of 0.855-0.894 for prevalence and 0.819-0.883 for incidence. These models generally outperformed two clinically validated non-laboratory tools and correctly reclassified >3,000 additional cases. Model performance improved with the addition of blood biomarkers but not with the addition of physical measurements.

Interpretation

Our findings suggest that easy-to-implement, questionnaire-based models could be used to predict prevalent and incident type 2 diabetes with high accuracy across several ethnicities, providing a highly scalable solution for population-wide risk stratification. Future work should determine the effectiveness of these models in identifying undiagnosed type 2 diabetes, validated in cohorts of different populations and ethnic representation.

Funding

University Medical Center Groningen.

Dietary Interventions for Type 2 Diabetes in South Asian Populations-A Systematic Review

PURPOSE

South Asians face a high burden of type 2 diabetes (T2D). We systematically summarized current research on the efficacy, cultural relevance, and research gaps of nutrition interventions that could be used for treatment in this population.

FINDINGS

We identified 18 articles published since 2010. Dietary pattern interventions have focused on low-glycemic index (GI) solutions and consistently reported improvement in glycemic management. Trials of nutrition education and counselling had diverse approaches, with those utilizing more intensive interventions generally eliciting better glycemic outcomes. Many studies developed interventions with cultural relevance by including traditional foods, providing materials in the local language, and acknowledging important food-related customs. These adaptations were seen in South Asian countries as well as Western countries hosting immigrants. Data from South Asian countries support low-GI and intensive counselling approaches for the treatment of T2D. Given the high prevalence of T2D in these populous countries, approaches that can reach large numbers of people are needed. In Western countries, more emphasis on providing culturally relevant nutrition therapy is needed.

Lipoprotein Insulin Resistance Index: A Simple, Accurate Method for Assessing Insulin Resistance in South Asians

Context

Identification of insulin resistance (IR) in South Asians, who are at a higher risk for type 2 diabetes, is important. Lack of standardization of insulin assays limits the clinical use of insulin-based surrogate indices. The lipoprotein insulin resistance index (LP-IR), a metabolomic marker, reflects the lipoprotein abnormalities observed in IR. The reliability of the LP-IR index in South Asians is unknown.

Objective

We evaluated the predictive accuracy of LP-IR compared with other IR surrogate indices in South Asians.

Methods

In a cross-sectional study (n = 55), we used calibration model analysis to assess the ability of the LP-IR score and other simple surrogate indices (Homeostatic Model Assessment of Insulin Resistance, Quantitative insulin sensitivity check index, Adipose insulin resistance index, and Matsuda Index) to predict insulin sensitivity (S_I) derived from the reference frequently sampled intravenous glucose tolerance test. LP-IR index was derived from lipoprotein particle concentrations and sizes measured by nuclear magnetic resonance spectroscopy. Predictive accuracy was determined by root mean squared error (RMSE) of prediction and leave-one-out cross-validation type RMSE of prediction (CVPE). The optimal cut-off of the LP-IR index was determined by the area under the receiver operating characteristic curve (AUROC) and the Youden index.

Results

The simple surrogate indices showed moderate correlations with S_I (r = 0.53-0.69, P < .0001). CVPE and RMSE were not different in any of the surrogate indices when compared with LP-IR. The AUROC was 0.77 (95% CI 0.64-0.89). The optimal cut-off for IR in South Asians was LP-IR >48 (sensitivity: 75%, specificity: 70%).

Conclusion

The LP-IR index is a simple, accurate, and clinically useful test to assess IR in South Asians.

Food Insecurity and Diabetes: An Investigation of Underserved Asian Americans in Michigan

Asian Americans are at increased risk for nutrition-related chronic diseases, including type 2 diabetes. The prevalence of type 2 diabetes among Asian Americans in the United States is 16.7% compared to 11.3% among the general U.S. population. Genetic factors such as higher body fat and lower muscle mass result in a predisposition for the development of diabetes at a lower body mass index (BMI). Social determinants including food insecurity and physical environment may also impact risk and need further examination. This study investigated type 2 diabetes–related indicators and food insecurity and satisfaction with types and quality of foods provided through food box distributions with a focus on Asian American populations in Michigan. Data were collected via a survey implemented in partnership with community organizations that administer food box distributions. Nearly half of respondents were not aware that Asian Americans are at increased risk of developing type 2 diabetes. The mean BMI for overall study participants was 25.6, and 61.8% of participants had a BMI of ≥23. Food insecurity was also negatively associated with BMI with study participants who were overweight reporting less food insecurity. Overall, participants reported being satisfied with both the types and quality of foods provided in the food boxes. Findings support the need for increased diabetes education and testing among Asian Americans and assessment of the types of culturally relevant foods offered by food distribution organizations.

Too long to wait: South Asian migrants' experiences of accessing health care in Australia

BACKGROUND

Migrants settling in a new country experience multiple complexities in navigating health care systems and adapting to a new way of life in the host country. In South Asia, migrating to another country for better life opportunities has been an ongoing trend and migration to Australia has significantly increased in recent years. Lower utilisation of health services and higher risks of chronic diseases among South Asian migrants poses a continuing challenge for the Australian health care system and little is known about why this demographic group does not access health services at the same rate. This study aimed to explore factors influencing access to health care by South Asian migrants in Australia.

METHODS

Using a mixed-method design, we conducted 62 online survey and 14 in-depth interviews with participants from four South Asian countries: Nepal, India, Bhutan, and Sri Lanka. Participants were recruited using a purposive snowball sampling approach following a standard ethical approval process. Survey data were analysed descriptively in SPSS and interview data were recorded, transcribed, and analysed thematically.

RESULTS

South Asian migrants experienced various complexities while accessing health services in Australia. The findings of this study highlighted a number of negative factors influencing their experiences of accessing health care: long waiting times for public health care, the expense of private health care, and communication problems due to socio-cultural differences. South Asian migrants also expressed their concern for a greater investment of resources into public health care to enable them to access quality and affordable care in these settings.

CONCLUSIONS

Given limited evidence available to help understand factors leading to the lower utilisation of health care and higher risks of chronic diseases among South Asian migrants, this study plays an important role in highlighting social, cultural, financial, and institutional factors that are critical to designing appropriate health-care strategies. This study recommends incorporating a collaborative and culturally competent model of care to increase access to health care and thereby help reduce existing disparities in health outcomes among South Asian migrant populations.

Comparison of the performances of survival analysis regression models for analysis of conception modes and risk of type-1 diabetes among 1985-2015 Swedish birth cohort

The goal is to examine the risk of conception mode-type-1 diabetes using different survival analysis modelling approaches and examine if there are differentials in the risk of type-1 diabetes between children from fresh and frozen-thawed embryo transfers. We aimed to compare the performances and fitness of different survival analysis regression models with the Cox proportional hazard (CPH) model used in an earlier study. The effect of conception modes and other prognostic factors on type-1 diabetes among children conceived either spontaneously or by assisted reproductive technology (ART) and its sub-groups was modelled in the earlier study. We used the information on all singleton children from the Swedish Medical Birth Register hosted by the Swedish National Board of Health and Welfare, 1985 to 2015. The main explanatory variable was the mode of conception. We applied the CPH, parametric and flexible parametric survival regression (FPSR) models to the data at 5% significance level. Loglikelihood, Akaike and Bayesian information criteria were used to assess model fit. Among the 3,138,540 singletons, 47,938 (1.5%) were conceived through ART (11,211 frozen-thawed transfer and 36,727 fresh embryo transfer). In total, 18,118 (0.58%) of the children had type-1 diabetes, higher among (0.58%) those conceived spontaneously than the ART-conceived (0.42%). The median (Interquartile range (IQR)) age at onset of type-1 diabetes among spontaneously conceived children was 10 (14-6) years, 8(5-12) for ART, 6 (4-10) years for frozen-thawed embryo transfer and 9 (5-12) years for fresh embryo transfer. The estimates from the CPH, FPSR and parametric PH models are similar. There was no significant difference in the risk of type-1 diabetes among ART- and spontaneously conceived children; FPSR: (adjusted Hazard Ratio (aHR) = 1.070; 95% Confidence Interval (CI):0.929-1.232, p = 0.346) vs CPH: (aHR = 1.068; 95%CI: 0.927-1.230, p = 0.361). A sub-analysis showed that the adjusted hazard of type-1 diabetes was 37% (aHR = 1.368; 95%CI: 1.013-1.847, p = 0.041) higher among children from frozen-thawed embryo transfer than among children from spontaneous conception. The hazard of type-1 diabetes was higher among children whose mothers do not smoke (aHR = 1.296; 95%CI:1.240-1.354, p<0.001) and of diabetic mothers (aHR = 6.419; 95%CI:5.852-7.041, p<0.001) and fathers (aHR = 8.808; 95%CI:8.221-9.437, p<0.001). The estimates from the CPH, parametric models and the FPSR model were close. This is an indication that the models performed similarly and any of them can be used to model the data. We couldn't establish that ART increases the risk of type-1 diabetes except when it is subdivided into its two subtypes. There is evidence of a greater risk of type-1 diabetes when conception is through frozen-thawed transfer.

Impact of HCV infection and ethnicity on incident type 2 diabetes: findings from a large population-based cohort in British Columbia

INTRODUCTION

Increasing evidence indicates that chronic hepatitis C virus (HCV) infection is associated with higher risk of diabetes. Previous studies showed ethnic disparities in the disease burden of diabetes, with increased risk in Asian population. We described the incidence of type 2 diabetes related to HCV infection and assessed the concurrent impact of HCV infection and ethnicity on the risk of diabetes.

RESEARCH DESIGN AND METHODS

In British Columbia Hepatitis Testers Cohort, individuals were followed from HCV diagnosis to the earliest of (1) incident type 2 diabetes, (2) death or (3) end of the study (December 31, 2015). Study population included 847 021 people. Diabetes incidence rates in people with and without HCV were computed. Propensity scores (PS) analysis was used to assess the impact of HCV infection on newly acquired diabetes. PS-matched dataset included 117 184 people. We used Fine and Gray multivariable subdistributional hazards models to assess the effect of HCV and ethnicity on diabetes while adjusting for confounders and competing risks.

RESULTS

Diabetes incidence rates were higher among people with HCV infection than those without. The highest diabetes incidence rate was in South Asians with HCV (14.7/1000 person-years, 95% CI 12.87 to 16.78). Compared with Others, South Asians with and without HCV and East Asians with HCV had a greater risk of diabetes. In the multivariable stratified analysis, HCV infection was associated with increased diabetes risk in all subgroups: East Asians, adjusted HR (aHR) 3.07 (95% CI 2.43 to 3.88); South Asians, aHR 2.62 (95% CI 2.10 to 3.26); and Others, aHR 2.28 (95% CI 2.15 to 2.42).

CONCLUSIONS

In a large population-based linked administrative health data, HCV infection was associated with higher diabetes risk, with a greater relative impact in East Asians. South Asians had the highest risk of diabetes. These findings highlight the need for care and screening for HCV-related chronic diseases such as type 2 diabetes among people affected by HCV.

One Size Does Not Fit All: Diabetes Prevalence Among Immigrants of the South Asian Diaspora

The risk of diabetes is higher in South Asians compared to the general population. As a result of migration during the twentieth-century postindependence, the South Asian diaspora is incredibly vast. We examined the diabetes prevalence between groups of the South Asian diaspora based on their distinct migration patterns. Population-based health care and immigration administrative data were used to compare crude and standardized diabetes prevalence between immigrants from nine regions of the South Asian diaspora and the non-immigrant population. Diabetes prevalence across groups were also stratified by gender. There were 199,003 South Asian immigrants; 33,882 (crude prevalence of 17.0%) of whom had a diagnosis of diabetes. The nine subgroups varied significantly in the prevalence of diabetes after adjusting for age, sex and income: Sri Lanka 24.3%, Pakistan 22.2%, Fiji 21.5%, Bangladesh 20.7%, the Caribbean 20.4%, India 16.0%, East Africa 13.8%, South Africa 10.8%, and the Middle East 9.6% in comparison to the non-immigrant population 17.8%. Higher prevalence was evident among men compared with women in each subgroup with the exception of Pakistan. Diabetes prevalence is not uniform among South Asians. Our findings highlight potential impacts of their unique migration histories on the risk and burden of diabetes, and move beyond a one size fits all approach in the South Asian population of Ontario to develop targeted interventions.

Patterns and predictors of mortality in a semi-urban population-based cohort in Sri Lanka: findings from the Ragama Health Study

OBJECTIVE

To describe patterns and predictors of mortality in a semi-urban population in Sri Lanka.

DESIGN

A prospective population-based cohort study.

SETTING

Ragama Medical Officer of Health area in the Gampaha district, Sri Lanka.

PARTICIPANTS

Adults between 35 and 64 years of age were recruited using an age stratified random sampling technique in 2007.

MEASURES

At baseline, we recorded socio-demographic, lifestyle, anthropometric, biochemical and clinical data of the participants. Over 10 years, we obtained the cause and date of death from the death registration documents of deceased participants. We determined the survival probability of the cohort over 10 years and estimated Hazard ratios (HRs) for all-cause mortality (ACM), cardiovascular mortality (CVM) and cancer-related mortality (CRM) using Cox's proportional hazards model. We also estimated the survival probabilities for men and women in each 10-year age group and standardised mortality ratio relative to the source population.

RESULTS

There were 169 deaths over 10 years with standardised mortality rates of 5.3 and 2.4 per 1000 years of follow-up for men and women, respectively. Independent predictors of: ACM were older age, lower income, smoking and diabetes mellitus while gender, education, occupation, harmful alcohol use, waist circumference and hypertension were not; CVM were older age, lower income, smoking, diabetes and hypertension while gender and harmful alcohol use were not; CRM was older age while gender, smoking and diabetes were not. Those engaged in clerical and technical occupations or unemployed had a lower risk of CRM as compared with those engaged in elementary occupations.

CONCLUSIONS

Older age, lower income, smoking, diabetes and hypertension strongly predict mortality in this cohort. Addressing the identified modifiable predictors through behavioural modification will improve longevity in similar populations.

Social networks, health and identity: exploring culturally embedded masculinity with the Pakistani community, West Midlands, UK

Background

Migrants from South Asia living in developed countries have an increased risk for developing cardiovascular disease (CVD), with limited research into underlying social causes.

Methods

We used social capital as an interpretive lens to undertake analysis of exploratory qualitative interviews with three generations of at-risk migrant Pakistani men from the West Midlands, UK. Perceptions of social networks, trust, and cultural norms associated with access to healthcare (support and information) were the primary area of exploration.

Results

Findings highlighted the role of social networks within religious or community spaces embedded as part of ethnic enclaves. Local Mosques and gyms remained key social spaces, where culturally specific gender differences played out within the context of a diaspora community, defined ways in which individuals navigated their social spheres and influenced members of their family and community on health and social behaviours.

Conclusions

There are generational and age-based differences in how members use locations to access and develop social support for particular lifestyle choices. The pursuit of a healthier lifestyle varies across the diverse migrant community, determined by social hierarchies and socio-cultural factors. Living close to similar others can limit exposure to novel lifestyle choices and efforts need to be made to promote wider integration between communities and variety of locations catering to health and lifestyle.

Causal Effects of Overall and Abdominal Obesity on Insulin Resistance and the Risk of Type 2 Diabetes Mellitus: A Two-Sample Mendelian Randomization Study

Overall and abdominal obesity were significantly associated with insulin resistance and type 2 diabetes mellitus (T2DM) risk in observational studies, though these associations cannot avoid the bias induced by confounding effects and reverse causation. This study aimed to test whether these associations are causal, and it compared the causal effects of overall and abdominal obesity on T2DM risk and glycemic traits by using a two-sample Mendelian randomization (MR) design. Based on summary-level statistics from genome-wide association studies, the instrumental variables for body mass index (BMI), waist-to-hip ratio (WHR), and WHR adjusted for BMI (WHRadjBMI) were extracted, and the horizontal pleiotropy was analyzed using MR-Egger regression and the MR-pleiotropy residual sum and outlier (PRESSO) method. Thereafter, by using the conventional MR method, the inverse-variance weighted method was applied to assess the causal effect of BMI, WHR, and WHRadjBMI on T2DM risk, Homeostatic model assessment of insulin resistance (HOMA-IR), fasting insulin, fasting glucose, and Hemoglobin A1c (HbA1c). A series of sensitivity analyses, including the multivariable MR (diastolic blood pressure, systolic blood pressure, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol as covariates), MR-Egger regression, weighted median, MR-PRESSO, and leave-one-out method, were conducted to test the robustness of the results from the conventional MR. Despite the existence of horizontal pleiotropy, consistent results were found in the conventional MR results and sensitivity analyses, except for the association between BMI and fasting glucose, and WHRadjBMI and fasting glucose. Each one standard deviation higher BMI was associated with an increased T2DM risk [odds ratio (OR): 2.741; 95% confidence interval (CI): 2.421-3.104], higher HbA1c [1.054; 1.04-1.068], fasting insulin [1.202; 1.173-1.231], and HOMA-IR [1.221; 1.187-1.255], similar to findings for causal effect of WHRadjBMI on T2DM risk [1.993; 1.704-2.33], HbA1c [1.061; 1.042-1.08], fasting insulin [1.102; 1.068-1.136], and HOMA-IR [1.127; 1.088-1.167]. Both BMI (P = 0.546) and WHRadjBMI (P = 0.443) were unassociated with fasting glucose in the multivariable MR analysis. In conclusion, overall and abdominal obesity have causal effects on T2DM risk and insulin resistance but no causal effect on fasting glucose. Individuals can substantially reduce their insulin resistance and T2DM risk through reduction of body fat mass and modification of body fat distribution.

The Burden of Atherosclerotic Cardiovascular Disease in South Asians Residing in Canada: A Reflection From the South Asian Heart Alliance

South Asians (SAs), originating from the Indian subcontinent (India, Pakistan, Sri Lanka, Bangladesh, Nepal, and Bhutan), represent one quarter of the global population and are the largest visible minority in Canada. SAs experience the highest rates of coronary artery disease in Canada. Although conventional cardiovascular risk factors remain predictive in SA, the excess risk is not fully explained by these risk factors alone. Abdominal obesity, metabolic syndrome, and insulin resistance likely contribute a greater risk in SAs than in other populations. The South Asian Heart Alliance has been recently formed to investigate and recommend the best strategies for the prevention of cardiometabolic disease in SAs in Canada. This topic review represents a comprehensive overview of the magnitude of cardiovascular disease in SAs in Canada, with a review of conventional and novel risk markers in the SA population. Both primary and secondary prevention strategies are suggested and when possible, adapted specifically for the SA population. The need for SAs and their healthcare professionals to be more aware of the problem and potential solutions, along with the need for population-specific research, is highlighted.

The relationship between non-permanent migration and non-communicable chronic disease outcomes for cancer, heart disease and diabetes - a systematic review

BACKGROUND

The relationship between migration and health has primarily focused on permanent migrants, although non-permanent migrants comprise a large proportion of global migrants. Non-permanent migrants may have distinct needs that affect their health outcomes. This systematic review 1) examined the evidence concerning whether non-permanent migrants have different health outcomes than other population groups for non-communicable chronic diseases (NCDs) and 2) sought to describe how non-permanent migration is defined and measured.

METHODS

For this systematic review, we developed a comprehensive search string for terms about non-permanent migration and disease and screening rates for three NCDs (cancer, heart disease, and diabetes) and searched thirteen electronic databases using the search string. Authors reviewed and evaluated articles for full-text review; hand-searched specific journals and grey literature; and scanned reference lists of relevant studies. Authors extracted and assessed data based on standard reporting for epidemiologic studies.

RESULTS

We identified twelve peer-reviewed articles that examined NCD outcomes for non-permanent migrants as compared to other populations. Some studies showed worse or no significant differences in the NCD outcomes for non-permanent migrants compared to other groups. The articles reflected substantial diversity that exists among non-permanent migrants, which ranged from economic migrants to nomadic populations.

CONCLUSION

Non-permanent migrants varied in their NCD outcomes as compared to other groups. Our included studies were heterogenous in their study designs and their definitions and measurement of non-permanent migration, which limited the ability to make conclusive statements about the health of the populations as compared to other populations. More standardization is needed in research to better understand the diversity in these populations and quantify differences in risk factors and disease rates between non-permanent migrants and other groups.

Contribution of type 2 diabetes to all-cause mortality, cardiovascular disease incidence and cancer incidence in white Europeans and South Asians: findings from the UK Biobank population-based cohort study

OBJECTIVE

To investigate whether the health implications of having type 2 diabetes (T2D) were different in South Asian compared with white European participants.

RESEARCH DESIGN AND METHODS

Prospective data from UK Biobank were used, and 457 935 participants of white European and 7102 of South Asian background were included. Cox proportional regression was performed to investigate the association between T2D and health outcome by ethnicity.

RESULTS

Over a mean of 7.0 years (IQR 6.3-7.6) of follow-up, 12 974 participants had died, and 30 347 and 27 159 developed cardiovascular disease (CVD) and cancer, respectively. South Asians had a higher risk for CVD mortality (HR: 1.42, 95% CI 1.07 to 1.89) and incidence (HR: 1.78, 95% CI 1.63 to 1.94), but a decreased risk for cancer mortality (HR: 0.59, 95% CI 0.41 to 0.85) and incidence (HR: 0.80, 95% CI 0.70 to 0.92) compared with white Europeans. Compared with individuals without T2D, both white Europeans and South Asians with T2D had a higher risk for all-cause mortality (1.59 (1.48 to 1.71) vs 2.83 (1.76 to 4.53)), CVD mortality (2.04 (1.82 to 2.28) vs 4.40 (2.37 to 8.16)) and CVD incidence (1.37 (1.31 to 1.44) vs 1.60 (1.31 to 1.95)), respectively. However, the magnitude of the risk was higher for South Asians than white Europeans.

CONCLUSIONS

Although T2D was associated with a higher risk for all-cause mortality and CVD incidence and mortality, in both white Europeans and South Asians, the risk experienced by South Asians with T2D was higher than their white European counterparts.

Regional Variation in Comorbid Prediabetes and Diabetes and Associated Factors among Hypertensive Individuals in Rural Bangladesh, Pakistan, and Sri Lanka

We aimed to explore the cross-country variation in the prevalence of comorbid prediabetes or diabetes and determine the sociodemographic, lifestyle, and clinical factors, especially body mass index (BMI) and waist circumference, associated with comorbid diabetes in individuals with hypertension in rural South Asia. We analyzed cross-sectional data of 2426 hypertensive individuals of ≥40 years from 30 randomly selected rural communities in Bangladesh, Pakistan, and Sri Lanka. Prediabetes was defined as fasting plasma glucose (FPG) between 100 and 125 mg/dL without use of antidiabetic treatment and diabetes as FPG ≥126 mg/dL or use of antidiabetic medication. The prevalence (95% CI) of prediabetes or diabetes (53.5% (51.5%, 55.5%)) and diabetes (27.7% (25.9%, 29.5%)) was high in the overall hypertensive study population in rural communities in 3 countries. Rural communities in Sri Lanka had the highest crude prevalence of prediabetes or diabetes and diabetes (73.1% and 39.3%) with hypertension, followed by those in Bangladesh (47.4% and 23.1%) and Pakistan (39.2% and 20.5%). The factors independently associated with comorbid diabetes and hypertension were residing in rural communities in Sri Lanka, higher education, international wealth index, waist circumference, pulse pressure, triglyceride, and lower high-density lipoprotein. The association of diabetes with waist circumference was stronger than with BMI in hypertensive individuals. Prediabetes or diabetes are alarmingly common among adults with hypertension and vary among countries in rural South Asia. The high prevalence of comorbid diabetes in Sri Lanka among hypertensives is not fully explained by conventional risk factors and needs further etiological research. Urgent public health efforts are needed to integrate diabetes control within hypertension management programs in rural South Asia, including screening waist circumference.