美国人口中早发 2 型糖尿病的种族/族裔及其他预测因素。

IF 3.2 3区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Noé Carème Manfouo Fouotsa, Ruth Ndjaboue, Gerard Ngueta
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引用次数: 0

摘要

目标:在美国 20 岁以上曾确诊为 2 型糖尿病(T2DM)的成年人中,我们旨在估算早发 T2DM(发病年龄在方法学意义上的年龄)的患病率:我们汇集了 2001 年至 2018 年期间每年国家健康与营养调查(NHANES)的数据。我们使用逐步逻辑回归分析和 11 种监督机器学习分类算法检验了关联假设并确定了预测因素:经过适当加权后,我们估计,在美国 20 岁以上曾确诊为 T2DM 的成年人中,早发性的发病率为 52.9%(95% 置信区间为 49.6% 至 56.2%)。在非西班牙裔白人(NHW)中,发病率为 48.6%(95% 置信区间,44.6% 至 52.6%);在非西班牙裔黑人中,发病率为 56.9%(95% 置信区间,49.6% 至 56.2%):56.9%(95% CI,51.8% 至 62.0%),西班牙裔为 62.7%(95% CI,51.8% 至 62.0%):西班牙裔为 62.7%(95% CI,53.2% 至 72.3%)。在最终的多变量逻辑回归模型中,预测男性早发 T2DM 的前三位标志物依次为 NHB 族裔(OR = 2.97;95% CI:2.24-3.95)>吸烟(OR = 2.79;95% CI:2.18-3.58)>高教育水平(OR = 1.65;95% CI:1.27-2.14)。在女性中,吸烟(OR = 2.59;95% CI:1.90-3.53)> 西班牙裔(OR = 1.49;95% CI:1.08-2.05)> 肥胖(OR = 1.30;95% CI:0.91-1.86)。从机器学习方法中得出的文化适应评分是解释早发 T2DM 种族差异的主要标志:结论:早发 T2DM 在非华裔黑人和西班牙裔人群中的发病率高于非华裔白人。与种族/族裔无关,文化适应、吸烟、教育水平、婚姻状况、肥胖和高血压也是预测因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Race/Ethnicity and Other Predictors of Early-Onset Type 2 Diabetes Mellitus in the US Population.

Race/Ethnicity and Other Predictors of Early-Onset Type 2 Diabetes Mellitus in the US Population.

Objectives: Among US adults aged 20 + years in the USA with previously diagnosed type 2 diabetes mellitus (T2DM), we aimed to estimate the prevalence of early-onset T2DM (onset at age < 50.5 years) and to test associations between early-onset T2DM and race/ethnicity, and other hypothesized predictors.

Methods: We pooled data from the annual National Health and Nutrition Examination Surveys (NHANES) over the years 2001 through 2018. We tested hypotheses of association and identified predictors using stepwise logistic regression analysis, and 11 supervised machine learning classification algorithms.

Results: After appropriate weighting, we estimated that among adults in the USA aged 20 + years with previously diagnosed T2DM, the prevalence of early-onset was 52.9% (95% confidence intervals, 49.6 to 56.2%). Among Non-Hispanic Whites (NHW) the prevalence was 48.6% (95% CI, 44.6 to 52.6%), among Non-Hispanic Blacks: 56.9% (95% CI, 51.8 to 62.0%), among Hispanics: 62.7% (95% CI, 53.2 to 72.3%). In the final multivariable logistic regression model, the top-3 markers predicting early-onset T2DM in males were NHB ethnicity (OR = 2.97; 95% CI: 2.24-3.95) > tobacco smoking (OR = 2.79; 95% CI: 2.18-3.58) > high education level (OR = 1.65; 95% CI: 1.27-2.14) in males. In females, the ranking was tobacco smoking (OR = 2.59; 95% CI: 1.90-3.53) > Hispanic ethnicity (OR = 1.49; 95% CI: 1.08-2.05) > obesity (OR = 1.30; 95% CI: 0.91-1.86) in females. The acculturation score emerged from the machine learning approach as the dominant marker explaining the race disparity in early-onset T2DM.

Conclusions: The prevalence of early-onset T2DM was higher among NHB and Hispanic people, than among NHW people. Independently of race/ethnicity, acculturation, tobacco smoking, education level, marital status, obesity, and hypertension were also predictive.

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来源期刊
Journal of Racial and Ethnic Health Disparities
Journal of Racial and Ethnic Health Disparities PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
7.30
自引率
5.10%
发文量
263
期刊介绍: Journal of Racial and Ethnic Health Disparities reports on the scholarly progress of work to understand, address, and ultimately eliminate health disparities based on race and ethnicity. Efforts to explore underlying causes of health disparities and to describe interventions that have been undertaken to address racial and ethnic health disparities are featured. Promising studies that are ongoing or studies that have longer term data are welcome, as are studies that serve as lessons for best practices in eliminating health disparities. Original research, systematic reviews, and commentaries presenting the state-of-the-art thinking on problems centered on health disparities will be considered for publication. We particularly encourage review articles that generate innovative and testable ideas, and constructive discussions and/or critiques of health disparities.Because the Journal of Racial and Ethnic Health Disparities receives a large number of submissions, about 30% of submissions to the Journal are sent out for full peer review.
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