Mexican American and South Asian population-based cohorts reveal high prevalence of type 2 diabetes and crucial differences in metabolic phenotypes
Mexican American and South Asian population-based cohorts reveal high prevalence of type 2 diabetes and crucial differences in metabolic phenotypes
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DOI：
10.1136/bmjdrc-2017-000436
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发表时间：
2018-07-01
影响因子：
4.1
通讯作者：
Thanikachalam, Mohan
中科院分区：
文献类型：
--
作者：
Watt, Gordon P.;Fisher-Hoch, Susan P.;Thanikachalam, Mohan
目的 2 型糖尿病的患病率因地区和血统而异。然而，大多数预防糖尿病 (DM) 的指南都是基于欧洲或非西班牙裔白人群体。两个少数民族人口——美国德克萨斯州的墨西哥裔美国人 (MA) 和印度泰米尔纳德邦的南印度人 (SI)——糖尿病患病率不断增加。我们的目的是了解这些人群中糖尿病的代谢相关性，以改善风险分层和糖尿病预防。 研究设计和方法 卡梅伦县西班牙裔队列 (CCHC; n=3023) 作为 MA 样本，城市、农村和半城市地区血管内疾病检测人口研究 (PURSE; n=8080) 作为 SI 样本。使用基于设计的方法，我们计算了每个队列中糖尿病和代谢合并症的患病率。我们确定了 DM 与代谢表型的关联，以评估肥胖和代谢健康对 DM 患病率的相对贡献。结果在 CCHC（总体 DM 患病率为 26.2%）中，无论肥胖与否，在各个年龄组中，良好的代谢健康与较低的 DM 患病率相关。在 PURSE 中（总体患病率为 27.6%），尽管无论代谢健康状况如何，老年组的 DM 患病率都很高，但 DM 的概率与代谢表型没有很强的相关性。 结论 我们的研究提供了可靠的、基于人群的数据来估计 DM 的患病率及其与代谢健康的关系。我们的结果证明了糖尿病代谢表型的差异，这应该为非欧洲人群的糖尿病预防指南提供参考。
Objective Prevalence of type 2 diabetes varies by region and ancestry. However, most guidelines for the prevention of diabetes mellitus (DM) are based on European or non-Hispanic white populations. Two ethnic minority populations-Mexican Americans (MAs) in Texas, USA, and South Indians (SIs) in Tamil Nadu, India-have an increasing prevalence of DM. We aimed to understand the metabolic correlates of DM in these populations to improve risk stratification and DM prevention.Research design and methods The Cameron County Hispanic Cohort (CCHC; n=3023) served as the MA sample, and the Population Study of Urban, Rural, and Semi-Urban Regions for the Detection of Endovascular Disease (PURSE; n=8080) served as the SI sample. Using design-based methods, we calculated the prevalence of DM and metabolic comorbidities in each cohort. We determined the association of DM with metabolic phenotypes to evaluate the relative contributions of obesity and metabolic health to the prevalence of DM.Results In the CCHC (overall DM prevalence 26.2%), good metabolic health was associated with lower prevalence of DM, across age groups, regardless of obesity. In PURSE (overall prevalence 27.6%), probability of DM was not strongly associated with metabolic phenotypes, although DM prevalence was high in older age groups irrespective of metabolic health.Conclusion Our study provides robust, population-based data to estimate the prevalence of DM and its associations with metabolic health. Our results demonstrate differences in metabolic phenotypes in DM, which should inform DM prevention guidelines in non-European populations.