Meeks Karlijn A C, Stronks Karien, Adeyemo Adebowale, Addo Juliet, Bahendeka Silver, Beune Erik, Owusu-Dabo Ellis, Danquah Ina, Galbete Cecilia, Henneman Peter, Klipstein-Grobusch Kerstin, Mockenhaupt Frank P, Osei Kwame, Schulze Matthias B, Spranger Joachim, Smeeth Liam, Agyemang Charles
Department of Public Health, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, the Netherlands.
Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Diabetologia. 2017 May;60(5):854-864. doi: 10.1007/s00125-017-4216-4. Epub 2017 Jan 31.
AIMS/HYPOTHESIS: The aim of this study was to assess the extent to which insulin resistance and beta cell dysfunction account for differences in impaired fasting blood glucose (IFBG) levels in sub-Saharan African individuals living in different locations in Europe and Africa. We also aimed to identify determinants associated with insulin resistance and beta cell dysfunction among this population.
Data from the cross-sectional multicentre Research on Obesity and Diabetes among African Migrants (RODAM) study were analysed. Participants included Ghanaian individuals without diabetes, aged 18-96 years old, who were residing in Amsterdam (n = 1337), Berlin (n = 502), London (n = 961), urban Ghana (n = 1309) and rural Ghana (n = 970). Glucose and insulin were measured in fasting venous blood samples. Anthropometrics were assessed during a physical examination. Questionnaires were used to assess demographics, physical activity, smoking status, alcohol consumption and energy intake. Insulin resistance and beta cell function were determined using homeostatic modelling (HOMA-IR and HOMA-B, respectively). Logistic regression analysis was used to study the contribution of HOMA-IR and inverse HOMA-B (beta cell dysfunction) to geographical differences in IFBG (fasting glucose 5.6-6.9 mmol/l). Multivariate linear regression analysis was used to identify determinants associated with HOMA-IR and inverse HOMA-B.
IFBG was more common in individuals residing in urban Ghana (OR 1.41 [95% CI 1.08, 1.84]), Amsterdam (OR 3.44 [95% CI 2.69, 4.39]) and London (OR 1.58 [95% CI 1.20 2.08), but similar in individuals living in Berlin (OR 1.00 [95% CI 0.70, 1.45]), compared with those in rural Ghana (reference population). The attributable risk of IFBG per 1 SD increase in HOMA-IR was 69.3% and in inverse HOMA-B was 11.1%. After adjustment for HOMA-IR, the odds for IFBG reduced to 0.96 (95% CI 0.72, 1.27), 2.52 (95%CI 1.94, 3.26) and 1.02 (95% CI 0.78, 1.38) for individuals in Urban Ghana, Amsterdam and London compared with rural Ghana, respectively. In contrast, adjustment for inverse HOMA-B had very minor impact on the ORs of IFBG. In multivariate analyses, BMI (β = 0.17 [95% CI 0.11, 0.24]) and waist circumference (β = 0.29 [95%CI 0.22, 0.36]) were most strongly associated with higher HOMA-IR, whereas inverse HOMA-B was most strongly associated with age (β = 0.20 [95% CI 0.16, 0.23]) and excess alcohol consumption (β = 0.25 [95% CI 0.07, 0.43]).
CONCLUSIONS/INTERPRETATION: Our findings suggest that insulin resistance, rather than beta cell dysfunction, is more important in accounting for the geographical differences in IFBG among sub-Saharan African individuals. We also show that BMI and waist circumference are important factors in insulin resistance in this population.
目的/假设:本研究旨在评估胰岛素抵抗和β细胞功能障碍在居住于欧洲和非洲不同地区的撒哈拉以南非洲个体空腹血糖受损(IFBG)水平差异中所起作用的程度。我们还旨在确定该人群中与胰岛素抵抗和β细胞功能障碍相关的决定因素。
对横断面多中心非洲移民肥胖与糖尿病研究(RODAM)的数据进行分析。参与者包括年龄在18 - 96岁、未患糖尿病的加纳人,他们分别居住在阿姆斯特丹(n = 1337)、柏林(n = 502)、伦敦(n = 961)、加纳城市(n = 1309)和加纳农村(n = 970)。测量空腹静脉血样本中的葡萄糖和胰岛素水平。在体格检查期间评估人体测量指标。通过问卷调查评估人口统计学、身体活动、吸烟状况、饮酒情况和能量摄入。使用稳态模型分别测定胰岛素抵抗和β细胞功能(分别为HOMA - IR和HOMA - B)。采用逻辑回归分析研究HOMA - IR和反向HOMA - B(β细胞功能障碍)对IFBG(空腹血糖5.6 - 6.9 mmol/l)地理差异的影响。采用多元线性回归分析确定与HOMA - IR和反向HOMA - B相关的决定因素。
与加纳农村的人群(参照人群)相比,IFBG在居住于加纳城市(比值比1.41 [95%置信区间1.08, 1.84])、阿姆斯特丹(比值比3.44 [95%置信区间2.69, 4.39])和伦敦(比值比1.58 [95%置信区间1.20, 2.08])的个体中更为常见,但在居住于柏林的个体中情况相似(比值比1.00 [95%置信区间0.70, 1.45])。HOMA - IR每增加1个标准差,IFBG的归因风险为69.3%,反向HOMA - B每增加1个标准差,IFBG的归因风险为11.1%。在对HOMA - IR进行校正后,与加纳农村相比,居住于加纳城市、阿姆斯特丹和伦敦的个体发生IFBG的比值分别降至0.96(95%置信区间0.72, 1.