Which anthropometric measures best indicate type 2 diabetes among Russian, Somali and Kurdish origin migrants in Finland? A cross-sectional study

Guideline-level monitoring, biomarker levels and pharmacological treatment in migrants and native Danes with type 2 diabetes: Population-wide analyses

The prevalence of type 2 diabetes (T2D) is higher in migrants compared to native populations in many countries, but the evidence on disparities in T2D care in migrants is inconsistent. Therefore, this study aimed to examine this in Denmark. In a cross-sectional, register-based study on 254,097 individuals with T2D, 11 indicators of guideline-level care were analysed: a) monitoring: hemoglobin-A1c (HbA1c), low-density lipoprotein cholesterol (LDL-C), screening for diabetic nephropathy, retinopathy, and foot disease, b) biomarker control: HbA1c and LDL-C levels, and c) pharmacological treatment: glucose-lowering drugs (GLD), lipid-lowering drugs, angiotensin-converting enzyme-inhibitors/angiotensin receptor blockers, and antiplatelet therapy. Migrants were grouped by countries of origin: Middle East, Europe, Turkey, Former Yugoslavia, Pakistan, Sri Lanka, Somalia, Vietnam. In all migrant groups except the Europe-group, T2D was more prevalent than in native Danes (crude relative risk (RR) from 0.62 [0.61-0.64] (Europe) to 3.98 [3.82-4.14] (Sri Lanka)). In eight indicators, non-fulfillment was common (>25% among native Danes). Apart from monitoring in the Sri Lanka-group, migrants were at similar or higher risk of non-fulfillment than native Danes across all indicators of monitoring and biomarker control (RR from 0.64 [0.51-0.80] (HbA1c monitoring, Sri Lanka) to 1.78 [1.67-1.90] (LDL-C control, Somalia)), while no overall pattern was observed for pharmacological treatment (RR from 0.61 [0.46-0.80] (GLD, Sri Lanka) to 1.67 [1.34-2.09] (GLD, Somalia)). Care was poorest in migrants from Somalia, who had increased risk in all eleven indicators, and the highest risk in nine. Adjusted risks were elevated in some migrant groups, particularly in indicators of biomarker control (fully-adjusted RR from 0.84 [0.75-0.94] (LDL-C levels, Vietnam) to 1.44 [1.35-1.54] (LDL-C levels, Somalia)). In most migrant groups, T2D was more prevalent, and monitoring and biomarker control was inferior compared to native Danes. Migrants from Somalia received the poorest care overall, and had exceedingly high lipid levels.

The Cardiometabolic Health of African Immigrants in High-Income Countries: A Systematic Review

In recent decades, the number of African immigrants in high-income countries (HICs) has increased significantly. However, the cardiometabolic health of this population remains poorly examined. Thus, we conducted a systematic review to examine the prevalence of cardiometabolic risk factors among sub-Saharan African immigrants residing in HICs. Studies were identified through searches in electronic databases including PubMed, Embase, CINAHL, Cochrane, Scopus, and Web of Science up to July 2021. Data on the prevalence of cardiometabolic risk factors were extracted and synthesized in a narrative format, and a meta-analysis of pooled proportions was also conducted. Of 8655 unique records, 35 articles that reported data on the specific African countries of origin of African immigrants were included in the review. We observed heterogeneity in the burden of cardiometabolic risk factors by African country of origin and HIC. The most prevalent risk factors were hypertension (27%, range: 6-55%), overweight/obesity (59%, range: 13-91%), and dyslipidemia (29%, range: 11-77.2%). The pooled prevalence of diabetes was 11% (range: 5-17%), and 7% (range: 0.7-14.8%) for smoking. Few studies examined kidney disease, hyperlipidemia, and diagnosed cardiometabolic disease. Policy changes and effective interventions are needed to improve the cardiometabolic health of African immigrants, improve care access and utilization, and advance health equity.

Evaluation of anthropometric indices as a predictor of diabetes in Dong and Miao ethnicities in China: A cross-sectional analysis of China Multi-Ethnic Cohort Study

BACKGROUND

Although it is known that obesity is inseparable from diabetes, many anthropometric indices are used for determining obesity. At the same time, research on the predictive indices of diabetes in Chinese minority populations is lacking. Therefore, this study determines the relationship between different anthropometric indices and diabetes, and identifies the best index and best cut-off values for predicting diabetes.

METHOD

In total, 11,035 Dong and Miao ethnic participants (age: 30-79 years) from the China Multi-Ethnic Cohort study were included. The logistic regression model was used to examine the relationship between the different anthropometric indices and diabetes risk. The receiver operating characteristic curve and the area under the curve (AUC) were used to identify the best predictor of diabetes.

RESULTS

In multivariate adjusted logistic regression models, body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI), and visceral adiposity index (VAI) were positively correlated with diabetes risk. Among Chinese Dong men and women and Miao men, WHR had the largest AUC (0.654/0.719/0.651). Among Miao women, VAI had the largest AUC(0.701). The best cut-off values of WHR for Dong men and women and Miao men were 0.94, 0.92, and 0.91, respectively. The best cut-off value of VAI for Miao women was 2.20.

CONCLUSION

Obesity indicators better predict diabetes in women than men. WHR may be the best predictor of diabetes risk in both sex of Dong ethnicity and Miao men, and VAI may be the best predictor of diabetes risk in Miao women.

Association of Anthropometric Indices With the Development of Diabetes Among Hypertensive Patients in China: A Cohort Study

Background

Patients with comorbidity of hypertension and diabetes are associated with higher morbidity and mortality of cardiovascular disease than those with hypertension or diabetes alone. The present study aimed to identify anthropometric risk factors for diabetes among hypertensive patients who were included in a retrospective cohort study.

Methods

Hypertensive adults without diabetes were recruited in China. Demographic, clinical, biochemical, and anthropometric indices were collected at baseline and during the follow-up. Anthropometric measures included BMI, waist circumference, waist-to-height ratio (WHtR), and waist-to-hip ratio, and several novel indices. To estimate the effect of baseline and dynamic changes of each anthropometric index on risk of new-onset diabetes (defined as self-reported physician-diagnosed diabetes and/or use of hypoglycemic medication, or new-onset FPG≥7.0 mmol/L during follow-up), Cox regression models were used.

Results

A total of 3852 hypertensive patients were studied, of whom 1167 developed diabetes during follow-up. Multivariate Cox regression analyses showed that there was a graded increased risk of incident diabetes with successively increasing anthropometric indices mentioned above (all P<0.05). Regardless of the baseline general obesity status, elevated WHtR was both related to higher risk of diabetes; the HRs (95%CI) of baseline BMI<24 kg/m2 & WHtR≥0.5 group and BMI≥24 kg/m2 & WHtR≥0.5 group were 1.34 (1.05, 1.72), 1.85 (1.48, 2.31), respectively. Moreover, the dynamic changes of WHtR could sensitively reflect diabetes risk. Diabetes risk significantly increased when patients with baseline WHtR<0.5 progressed to WHtR≥0.5 during the follow-up (HR=1.63; 95%CI, 1.11, 2.40). There was also a decreasing trend towards the risk of incident diabetes when baseline abnormal WHtR reversed to normal at follow-up (HR=1.93; 95%CI, 1.36, 2.72) compared with those whose WHtR remained abnormal at follow-up (HR=2.04; 95%CI, 1.54, 2.71).

Conclusions

Central obesity is an independent and modifiable risk factor for the development of diabetes among hypertensive patients. Measuring indices of central obesity in addition to BMI in clinics could provide incremental benefits in the discrimination of diabetes among Chinese hypertensive patients. Dynamic changes of WHtR could sensitively reflect changes in the risk of diabetes. Therefore, long-term monitoring of hypertensive patients using non-invasive anthropometric measures and timely lifestyle intervention could effectively reduce the development of diabetes.

The association between anthropometric measures and glycated haemoglobin (HbA1c) is different in Russian, Somali and Kurdish origin migrants compared with the general population in Finland: a cross-sectional population-based study

BACKGROUND

Persons of African and Middle-Eastern origin living in European countries have a high prevalence of type 2 diabetes, accompanied by high prevalence of obesity among women but not always among men. The aim of this study was to examine whether there are differences in the association between anthropometric measures and glucose levels measured with glycated haemoglobin and fasting blood glucose among persons of migrant origin in Finland.

METHODS

Cross-sectional population-based data of the 30-64 year-old participants in the health examination of the Migrant Health and Wellbeing Study was used, selecting persons without diabetes (Russian origin n = 293, Somali origin n = 184, Kurdish origin n = 275). The reference group were non-diabetic participants in the Health 2011 Survey (n = 653), representative of the general Finnish population. Anthropometric measures included body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and waist-to-hip ratio (WHR, available for Maamu Study participants only).

RESULTS

Depending on whether continuous or categorical anthropometric measures were used, age, sex and anthropometrics explained 13-18% of variation in HbA1c among persons of Russian origin, 5-10% among persons of Somali origin, 1-3% among persons of Kurdish origin and 11-13% among the general population. Also depending on whether continuous or categorical anthropometric measures were used, age, sex and anthropometrics explained 13-19% of variation in fasting blood glucose among persons of Russian origin, 15-20% among persons of Somali origin, 13-17% among persons of Kurdish origin and 16-17% among the general population. With exception for BMI, strength of the association between continuous anthropometric measures and HbA1c was significantly lower among persons of Kurdish origin compared with the general Finnish population (p = 0.044 for WC and p = 0.040 for WHtR).

CONCLUSIONS

A low degree of association between anthropometric measures and HbA1c was observed among persons of Kurdish origin. Findings of this study suggest caution is warranted when using HbA1c as a screening tool for glucose impairment among persons without diabetes in populations of diverse origin.