Silver Bahendeka

Rationale and cross-sectional study design of the Research on Obesity and type 2 Diabetes among African Migrants: the RODAM study.

Introduction Obesity and type 2 diabetes (T2D) are highly prevalent among African migrants compared with European descent populations. The underlying reasons still remain a puzzle. Gene–environmental interaction is now seen as a potential plausible factor contributing to the high prevalence of obesity and T2D, but has not yet been investigated. The overall aim of the Research on Obesity and Diabetes among African Migrants (RODAM) project is to understand the reasons for the high prevalence of obesity and T2D among sub-Saharan Africans in diaspora by (1) studying the complex interplay between environment (eg, lifestyle), healthcare, biochemical and (epi)genetic factors, and their relative contributions to the high prevalence of obesity and T2D; (2) to identify specific risk factors within these broad categories to guide intervention programmes and (3) to provide a basic knowledge for improving diagnosis and treatment. Methods and analysis RODAM is a multicentre cross-sectional study among homogenous sub-Saharan African participants (ie, Ghanaians) aged >25 years living in rural and urban Ghana, the Netherlands, Germany and the UK (http://rod-am.eu/). Standardised data on the main outcomes, genetic and non-genetic factors are collected in all locations. The aim is to recruit 6250 individuals comprising five subgroups of 1250 individuals from each site. In Ghana, Kumasi and Obuasi (urban stratum) and villages in the Ashanti region (rural stratum) are served as recruitment sites. In Europe, Ghanaian migrants are selected through the municipality or Ghanaian organisations registers. Ethics and dissemination Ethical approval has been obtained in all sites. This paper gives an overview of the rationale, conceptual framework and methods of the study. The differences across locations will allow us to gain insight into genetic and non-genetic factors contributing to the occurrence of obesity and T2D and will inform targeted intervention and prevention programmes, and provide the basis for improving diagnosis and treatment in these populations and beyond.

Diabetes diagnosis and care in sub-Saharan Africa: pooled analysis of individual data from 12 countries

BACKGROUND Despite widespread recognition that the burden of diabetes is rapidly growing in many countries in sub-Saharan Africa, nationally representative estimates of unmet need for diabetes diagnosis and care are in short supply for the region. We use national population-based survey data to quantify diabetes prevalence and met and unmet need for diabetes diagnosis and care in 12 countries in sub-Saharan Africa. We further estimate demographic and economic gradients of met need for diabetes diagnosis and care. METHODS We did a pooled analysis of individual-level data from nationally representative population-based surveys that met the following inclusion criteria: the data were collected during 2005-15; the data were made available at the individual level; a biomarker for diabetes was available in the dataset; and the dataset included information on use of core health services for diabetes diagnosis and care. We first quantified the population in need of diabetes diagnosis and care by estimating the prevalence of diabetes across the surveys; we also quantified the prevalence of overweight and obesity, as a major risk factor for diabetes and an indicator of need for diabetes screening. Second, we determined the level of met need for diabetes diagnosis, preventive counselling, and treatment in both the diabetic and the overweight and obese population. Finally, we did survey fixed-effects regressions to establish the demographic and economic gradients of met need for diabetes diagnosis, counselling, and treatment. FINDINGS We pooled data from 12 nationally representative population-based surveys in sub-Saharan Africa, representing 38 311 individuals with a biomarker measurement for diabetes. Across the surveys, the median prevalence of diabetes was 5% (range 2-14) and the median prevalence of overweight or obesity was 27% (range 16-68). We estimated seven measures of met need for diabetes-related care across the 12 surveys: (1) percentage of the overweight or obese population who received a blood glucose measurement (median 22% [IQR 11-37]); and percentage of the diabetic population who reported that they (2) had ever received a blood glucose measurement (median 36% [IQR 27-63]); (3) had ever been told that they had diabetes (median 27% [IQR 22-51]); (4) had ever been counselled to lose weight (median 15% [IQR 13-23]); (5) had ever been counselled to exercise (median 15% [IQR 11-30]); (6) were using oral diabetes drugs (median 25% [IQR 18-42]); and (7) were using insulin (median 11% [IQR 6-13]). Compared with those aged 15-39 years, the adjusted odds of met need for diabetes diagnosis (measures 1-3) were 2·22 to 3·53 (40-54 years) and 3·82 to 5·01 (≥55 years) times higher. The adjusted odds of met need for diabetes diagnosis also increased consistently with educational attainment and were between 3·07 and 4·56 higher for the group with 8 years or more of education than for the group with less than 1 year of education. Finally, need for diabetes care was significantly more likely to be met (measures 4-7) in the oldest age and highest educational groups. INTERPRETATION Diabetes has already reached high levels of prevalence in several countries in sub-Saharan Africa. Large proportions of need for diabetes diagnosis and care in the region remain unmet, but the patterns of unmet need vary widely across the countries in our sample. Novel health policies and programmes are urgently needed to increase awareness of diabetes and to expand coverage of preventive counselling, diagnosis, and linkage to diabetes care. Because the probability of met need for diabetes diagnosis and care consistently increases with age and educational attainment, policy makers should pay particular attention to improved access to diabetes services for young adults and people with low educational attainment. FUNDING None.

Prevalence and correlates of diabetes mellitus in Uganda: a population‐based national survey

We analysed fasting blood glucose (FBG) and other data collected as part of a population‐based nationwide non‐communicable disease risk factor survey, to estimate the prevalence of impaired fasting glycaemia (IFG) and diabetes mellitus and to identify associated factors in Uganda.

Variations in hypertension awareness, treatment, and control among Ghanaian migrants living in Amsterdam, Berlin, London, and nonmigrant Ghanaians living in rural and urban Ghana-the RODAM study

Objectives: Hypertension is a major burden among African migrants, but the extent of the differences in prevalence, treatment, and control among similar African migrants and nonmigrants living in different contexts in high-income countries and rural and urban Africa has not yet been assessed. We assessed differences in hypertension prevalence and its management among relatively homogenous African migrants (Ghanaians) living in three European cities (Amsterdam, London, and Berlin) and nonmigrants living in rural and urban Ghana. Methods: A multicenter cross-sectional study was conducted among Ghanaian adults (n = 5659) aged 25–70 years. Comparisons between sites were made using prevalence ratios with adjustment for age, education, and BMI. Results: The age-standardised prevalence of hypertension was 22 and 28% in rural Ghanaian men and women. The prevalence was higher in urban Ghana [men, 34%; adjusted prevalence ratio = 1.37, 95% confidence interval (CI), 1.10–1.70]; and much higher in migrants in Europe, especially in Berlin (men, 57%; prevalence ratio = 2.21, 1.78–2.73; women, 51%; prevalence ratio = 1.74, 1.45–2.09) than in rural Ghana. Hypertension awareness and treatment levels were higher in Ghanaian migrants than in nonmigrant Ghanaians. However, adequate hypertension control was lower in Ghanaian migrant men in Berlin (20%; prevalence ratio = 0.43 95%, 0.23–0.82), Amsterdam (29%; prevalence ratio = 0.59, 0.35–0.99), and London (36%; prevalence ratio = 0.86, 0.49–1.51) than rural Ghanaians (59%). Among women, no differences in hypertension control were observed. About 50% of migrants to 85% of rural Ghanaians with severe hypertension (Blood pressure > 180/110) were untreated. Antihypertensive medication prescription patterns varied considerably by site. Conclusion: Hypertension prevalence, awareness, and treatment levels were generally higher in African migrants, but blood pressure control level was lower in Ghanaian migrant men compared with their nonmigrant peers. Further work is needed to identify key underlying factors to support prevention and management efforts. Supplement Figure 1, http://links.lww.com/HJH/A831.

Alcohol Use among Adults in Uganda: Findings from the Countrywide Non-Communicable Diseases Risk Factor Cross-Sectional Survey

Background There are limited data on levels of alcohol use in most sub-Saharan African countries. Objective We analyzed data from Ugandas non-communicable diseases risk factor survey conducted in 2014, to identify alcohol use prevalence and associated factors. Design The survey used the World Health Organization STEPS tool to collect data, including the history of alcohol use. Alcohol users were categorized into low-, medium-, and high-end users. Participants were also classified as having an alcohol-use-related disorder if, over the past 12 months, they were unable to stop drinking alcohol once they had started drinking, and/or failed to do what was normally expected of them because of drinking alcohol, and/or needed an alcoholic drink first in the morning to get going after a heavy drinking session the night before. Weighted logistic regression analysis was used to identify factors associated with medium- to high-end alcohol use. Results Of the 3,956 participants, 1,062 (26.8%) were current alcohol users, including 314 (7.9%) low-end, 246 (6.2%) medium-end, and 502 (12.7%) high-end users. A total of 386 (9.8%) were classified as having an alcohol-use-related disorder. Male participants were more likely to be medium- to high-end alcohol users compared to females; adjusted odds ratio (AOR)=2.34 [95% confidence interval (CI)=1.88–2.91]. Compared to residents in eastern Uganda, participants in central and western Uganda were more likely to be medium- to high-end users; AOR=1.47 (95% CI=1.01–2.12) and AOR=1.89 (95% CI=1.31–2.72), respectively. Participants aged 30–49 years and those aged 50–69 years were more likely to be medium- to high-end alcohol users, compared to those aged 18–29 years, AOR=1.49 (95% CI=1.16–1.91) and AOR=2.08 (95% CI=1.52–2.84), respectively. Conclusions The level of alcohol use among adults in Uganda is high, and 9.8% of the adult population has an alcohol-use-related disorder.Background There are limited data on levels of alcohol use in most sub-Saharan African countries. Objective We analyzed data from Ugandas non-communicable diseases risk factor survey conducted in 2014, to identify alcohol use prevalence and associated factors. Design The survey used the World Health Organization STEPS tool to collect data, including the history of alcohol use. Alcohol users were categorized into low-, medium-, and high-end users. Participants were also classified as having an alcohol-use-related disorder if, over the past 12 months, they were unable to stop drinking alcohol once they had started drinking, and/or failed to do what was normally expected of them because of drinking alcohol, and/or needed an alcoholic drink first in the morning to get going after a heavy drinking session the night before. Weighted logistic regression analysis was used to identify factors associated with medium- to high-end alcohol use. Results Of the 3,956 participants, 1,062 (26.8%) were current alcohol users, including 314 (7.9%) low-end, 246 (6.2%) medium-end, and 502 (12.7%) high-end users. A total of 386 (9.8%) were classified as having an alcohol-use-related disorder. Male participants were more likely to be medium- to high-end alcohol users compared to females; adjusted odds ratio (AOR)=2.34 [95% confidence interval (CI)=1.88-2.91]. Compared to residents in eastern Uganda, participants in central and western Uganda were more likely to be medium- to high-end users; AOR=1.47 (95% CI=1.01-2.12) and AOR=1.89 (95% CI=1.31-2.72), respectively. Participants aged 30-49 years and those aged 50-69 years were more likely to be medium- to high-end alcohol users, compared to those aged 18-29 years, AOR=1.49 (95% CI=1.16-1.91) and AOR=2.08 (95% CI=1.52-2.84), respectively. Conclusions The level of alcohol use among adults in Uganda is high, and 9.8% of the adult population has an alcohol-use-related disorder.

Innovative ways of studying the effect of migration on obesity and diabetes beyond the common designs: lessons from the RODAM study

Type 2 diabetes and obesity are major global public health problems, with migrant populations in high‐income countries being particularly affected. Type 2 diabetes and obesity are also major threats in low‐ and middle‐income countries, from which most migrant populations originate. Transitioning of societies and the resulting changes in lifestyles are thought to be major driving forces, but the key specific factors within this broad category still need to be determined. Migrant studies provide a unique opportunity to understand the potential underlying causes of these conditions, but current research is mainly geared toward analyzing the differences between migrants and the host populations in the countries of settlement. For better understanding, there is a need to extend migrant health research across national boundaries. This review discusses innovative ways of studying the effect of migration on type 2 diabetes and obesity beyond the common designs and the relevance of extending migrant health studies across national boundaries in the current era of increasing global migration. Specifically, we describe the burden and different methods for conducting migrant studies. We use the Research on Obesity and Diabetes among African Migrants (RODAM) study as a case study, discussing the methods, some results, and lessons learned, including challenges and an essential recipe for success that may guide future migrant health research.

Food consumption, nutrient intake, and dietary patterns in Ghanaian migrants in Europe and their compatriots in Ghana

ABSTRACT Background: West African immigrants in Europe are disproportionally affected by metabolic conditions compared to European host populations. Nutrition transition through urbanisation and migration may contribute to this observations, but remains to be characterised. Objective: We aimed to describe the dietary behaviour and its socio-demographic factors among Ghanaian migrants in Europe and their compatriots living different Ghanaian settings. Methods: The multi-centre, cross-sectional RODAM (Research on Obesity and Diabetes among African Migrants) study was conducted among Ghanaian adults in rural and urban Ghana, and Europe. Dietary patterns were identified by principal component analysis. Results: Contributions of macronutrient to the daily energy intake was different across the three study sites. Three dietary patterns were identified. Adherence to the ‘mixed’ pattern was associated with female sex, higher education, and European residency. The ‘rice, pasta, meat, and fish’ pattern was associated with male sex, younger age, higher education, and urban Ghanaian environment. Adherence to the ‘roots, tubers, and plantain’ pattern was mainly related to rural Ghanaian residency. Conclusion: We observed differences in food preferences across study sites: in rural Ghana, diet concentrated on starchy foods; in urban Ghana, nutrition was dominated by animal-based products; and in Europe, diet appeared to be highly diverse.

[Accepted Manuscript] Innovative ways of studying the effect of migration on obesity and diabetes beyond the common designs: lessons from the RODAM study.

Type 2 diabetes and obesity are major global public health problems, with migrant populations in high‐income countries being particularly affected. Type 2 diabetes and obesity are also major threats in low‐ and middle‐income countries, from which most migrant populations originate. Transitioning of societies and the resulting changes in lifestyles are thought to be major driving forces, but the key specific factors within this broad category still need to be determined. Migrant studies provide a unique opportunity to understand the potential underlying causes of these conditions, but current research is mainly geared toward analyzing the differences between migrants and the host populations in the countries of settlement. For better understanding, there is a need to extend migrant health research across national boundaries. This review discusses innovative ways of studying the effect of migration on type 2 diabetes and obesity beyond the common designs and the relevance of extending migrant health studies across national boundaries in the current era of increasing global migration. Specifically, we describe the burden and different methods for conducting migrant studies. We use the Research on Obesity and Diabetes among African Migrants (RODAM) study as a case study, discussing the methods, some results, and lessons learned, including challenges and an essential recipe for success that may guide future migrant health research.

Cardiovascular disease risk prediction in sub-Saharan African populations — Comparative analysis of risk algorithms in the RODAM study

BACKGROUND Validated absolute risk equations are currently recommended as the basis of cardiovascular disease (CVD) risk stratification in prevention and control strategies. However, there is no consensus on appropriate equations for sub-Saharan African populations. We assessed agreement between different cardiovascular risk equations among Ghanaian migrant and home populations with no overt CVD. METHODS The 10-year CVD risks were calculated for 3586 participants aged 40-70years in the multi-centre RODAM study among Ghanaians residing in Ghana and Europe using the Framingham laboratory and non-laboratory and Pooled Cohort Equations (PCE) algorithms. Participants were classified as low, moderate or high risk, corresponding to <10%, 10-20% and >20% respectively. Agreement between the risk algorithms was assessed using kappa and correlation coefficients. RESULTS 19.4%, 12.3% and 5.8% were ranked as high 10-year CVD risk by Framingham non-laboratory, Framingham laboratory and PCE, respectively. The median (25th-75th percentiles) estimated 10-year CVD risk was 9.5% (5.4-15.7), 7.3% (3.9-13.2) and 5.0% (2.3-9.7) for Framingham non-laboratory, Framingham laboratory and PCE, respectively. The concordance between PCE and Framingham non-laboratory was better in the home Ghanaian population (kappa=0.42, r=0.738) than the migrant population (kappa=0.24, r=0.732) whereas concordance between PCE and Framingham laboratory was better in migrant Ghanaians (kappa=0.54, r=0.769) than the home population (kappa=0.51, r=0.758). CONCLUSION CVD prediction with the same algorithm differs for the migrant and home populations and the interchangeability of Framingham laboratory and non-laboratory algorithms is limited. Validation against CVD outcomes is needed to inform appropriate selection of risk algorithms for use in African ancestry populations.

Smoking prevalence differs by location of residence among Ghanaians in Africa and Europe: The RODAM study.

Background Although the prevalence of smoking is low in Ghana, little is known about the effect of migration on smoking. Comparing Ghanaians living in their country of origin to those living in Europe offers an opportunity to investigate smoking by location of residence and the associations between smoking behaviours and migration-related factors. Methods Data on a relatively homogenous group of Ghanaians living in London (n = 949), Amsterdam (n = 1400), Berlin (n = 543), rural Ghana (n = 973) and urban Ghana (n = 1400) from the cross-sectional RODAM (Research on Obesity & Diabetes in African Migrants) study were used. Age-standardized prevalence rates of smoking by location of residence and factors associated with smoking among Ghanaian men were estimated using prevalence ratios (PR: 95% CIs). Results Current smoking was non-existent among women in rural and urban Ghana and London but was 3.2% and 3.3% in women in Amsterdam and Berlin, respectively. Smoking prevalence was higher in men in Europe (7.8%) than in both rural and urban Ghana (4.8%): PR 1.91: 95% CI 1.27, 2.88, adjusted for age, marital status, education and employment. Factors associated with a higher prevalence of smoking among Ghanaian men included European residence, being divorced or widowed, living alone, Islam religion, infrequent attendance at religious services, assimilation (cultural orientation), and low education. Conclusion Ghanaians living in Europe are more likely to smoke than their counterparts in Ghana, suggesting convergence to European populations, although prevalence rates are still far below those in the host populations.