Browsing by Author "Danquah Ina"

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    Acculturation and Food Intake Among Ghanaian Migrants in Europe: Findings From the RODAM Study
    (Nutrition Education and Behaviour, 2019) Danquah Ina; Holdsworth Michelle; Owusu-Dabo Ellis; Klipstein-Grobusch Kerstin; Galbete Cecilia...et al
    Objective: This study examined the role of migration and acculturation in the diet of Ghanaian migrants in Europe by (1) comparing food intake of Ghanaian migrants in Europe with that of Ghanaians living in Ghana and (2) assessing the association between acculturation and food intake. Design: Data from the cross-sectional multicenter study Research on Obesity and Diabetes among African Migrants were used. Food intake was assessed using a Ghana-specific food propensity questionnaire (134 items and 14 food groups); foods were grouped based on a model of dietary change proposed by Kocturk-Runefors. € Setting: Ghana, London, Amsterdam, and Berlin. Participants: A total of 4,534 Ghanaian adults living in Ghana and Europe, with complete dietary data. Of these, 1,773 Ghanaian migrants had complete acculturation data. Main Outcome Measure: Food intake (the weighted intake frequency per week of food categories). Analysis: Linear regression. Results: Food intake differed between Ghanaians living in Ghana and Europe. Among Ghanaian migrants in Europe, there were inconsistent and small associations between acculturation and food intake, except for ethnic identity, which was consistently associated with intake only of traditional staples. Conclusions and Implications: Findings indicate that migration is associated with dietary changes that cannot be fully explained by ethnic, cultural, and social acculturation. The study provides limited support to the differential changes in diet suggested by the Kocturk-Runefors’ model of dietary change.
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    Food variety, dietary diversity, and type 2 diabetes in a multi‑center cross‑sectional study among Ghanaian migrants in Europe and their compatriots in Ghana: the RODAM study
    (SPRINGER, 2017) Danquah Ina; Galbete Cecilia; Meeks Karlijn; Owusu-Dabo Ellis; Nicolaou · Mary; Klipstein‑Grobusch Kerstin...et al
    Purpose The importance of dietary diversifcation for type 2 diabetes (T2D) risk remains controversial. We investigated associations of between- and within-food group variety with T2D, and the role of dietary diversifcation for the relation ships between previously identifed dietary patterns (DPs) and T2D among Ghanaian adults. Methods In the multi-center cross-sectional Research on Obesity and Diabetes among African Migrants (RODAM) Study (n = 3810; Ghanaian residence, 56%; mean age, 46.2 years; women, 63%), we constructed the Food Variety Score (FVS; 0–20 points), the Dietary Diversity Score (DDS; 0–7 points), and the Diet Quality Index-International (DQI-I) variety component (0–20 points). The associations of these scores, of a “rice, pasta, meat and fsh” DP, of a “mixed” DP, and of a “roots, tubers and plantain” DP with T2D were calculated by logistic regression. Results The FVS was inversely associated with T2D, adjusted for socio-demographic, lifestyle, and anthropo metric factors [odds ratio (OR) for T2D per 1 standard deviation (SD) increase: 0.81; 95% confdence interval (CI) 0.71–0.93]. The DDS and the DQI-I variety component were not associated with T2D. There was no association of the “mixed” DP and the “roots, tubers and plantain” DP with T2D. Yet, the “rice, pasta, meat and fsh” DP is inversely
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    Knowledge and perceptions of type 2 diabetes among Ghanaian migrants in three European countries and Ghanaians in rural and urban Ghana: The RODAM qualitative study
    (PLOS ONE, 2019) Aikins de-Graft Ama; Dodoo Francis; Owusu-Dabo Ellis; Danquah Ina; Afrifa-Anane Ernest....et al
    African migrants in Europe and continental Africans are disproportionately affected by type 2 diabetes (T2D). Both groups develop T2D at a younger age, and have higher morbidity and mortality from T2D and complications, compared to European populations. To reduce risk, and avoidable disability and premature deaths, culturally congruent and context spe cific interventions are required. This study aimed to: (a) assess perceptions and knowledge of T2D among Ghanaian migrants in Europe and their compatriots in Ghana and (b) identify specific perceptions and knowledge gaps that might predispose migrants to higher risk of diabetes. Data was gathered through 26 focus groups with 180 individuals, aged 21 to 70, from Amsterdam, Berlin and London and rural and urban Ashanti Region, Ghana. Thematic analysis of the data was informed by Social Representations Theory, which focuses on the sources, content and functions of social knowledge. Three key insights emerged from analy sis. First, there was general awareness, across migrant and non-migrant groups, of T2D as a serious chronic condition with life threatening complications, and some knowledge of bio medical strategies to prevent diabetes (e.g healthy eating) and diabetes complications (e.g medication adherence). However, knowledge of T2D prevention and reduction of diabetes complications was not comprehensive. Secondly, knowledge of biomedical diabetes theo ries and interventions co-existed with theories about psychosocial and supernatural causes of diabetes and the efficacy of herbal and faith-based treatment of diabetes. Finally, migrants’ knowledge was informed by both Ghanaian and European systems of T2D
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    Subgroups of adult‑onset diabetes: a data‑driven cluster analysis in aGhanaian population
    (Springer Nature, 2023) Danquah Ina; Mank Isabel; Owusu-Dabo Ellis; Hampe S. Christiane; Agyemang Charles....et al; 0000-0003-4232-4292
    Adult-onset diabetes mellitus (here: aDM) is not a uniform disease entity. In European populations, five diabetes subgroups have been identified by cluster analysis using simple clinical variables; these may elucidate diabetes aetiology and disease prognosis. We aimed at reproducing these subgroups among Ghanaians with aDM, and establishing their importance for diabetic complications in different health system contexts. We used data of 541 Ghanaians with aDM (age: 25–70 years; male sex: 44%) from the multi-center, cross-sectional Research on Obesity and Diabetes among African Migrants (RODAM) Study. Adult-onset DM was defined as fasting plasma glucose (FPG) ≥ 7.0 mmol/L, documented use of glucose-lowering medication or self-reported diabetes, and age of onset ≥ 18 years. We derived subgroups by cluster analysis using (i) a previously published set of variables: age at diabetes onset, HbA1c, body mass index, HOMA-beta, HOMA-IR, positivity of glutamic acid decarboxylase autoantibodies (GAD65Ab), and (ii) Ghana-specific variables: age at onset, waist circumference, FPG, and fasting insulin. For each subgroup, we calculated the clinical, treatment-related and morphometric characteristics, and the proportions of objectively measured and self-reported diabetic complications. We reproduced the five subgroups: cluster 1 (obesity-related, 73%) and cluster 5 (insulin-resistant, 5%) with no dominant diabetic complication patterns; cluster 2 (age-related, 10%) characterized by the highest proportions of coronary artery disease (CAD, 18%) and stroke (13%); cluster 3 (autoimmune-related, 5%) showing the highest proportions of kidney dysfunction (40%) and peripheral artery disease (PAD, 14%); and cluster 4 (insulin-deficient, 7%) characterized by the highest proportion of retinopathy (14%). The second approach yielded four subgroups: obesity- and age-related (68%) characterized by the highest proportion of CAD (9%); body fat-related and insulin-resistant (18%) showing the highest proportions of PAD (6%) and stroke (5%); malnutrition-related (8%) exhibiting the lowest mean waist circumference and the highest proportion of retinopathy (20%); and ketosis-prone (6%) with the highest proportion of kidney dysfunction (30%) and urinary ketones (6%). With the same set of clinical variables, the previously published aDM subgroups can largely be reproduced by cluster analysis in this Ghanaian population. This method may generate in-depth understanding of the aetiology and prognosis of aDM, particularly when choosing variables that are clinically relevant for the target population.