Department of Epidemiology and Center for Social Epidemiology and Population Health, University of Michigan, Ann Arbor, MI.
Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Philadelphia, PA.
Psychoneuroendocrinology. 2019 Apr;102:182-188. doi: 10.1016/j.psyneuen.2018.12.007. Epub 2018 Dec 7.
Although epidemiologic studies of telomere length have become increasingly common, few population-based, multi-ethnic studies include data on telomere shortening, which may be a better predictor of morbidity and mortality than a single measure of telomere length. This study used stored blood samples from 1169 participants in the Multi-Ethnic Study of Atherosclerosis (MESA) to examine age, sex, race/ethnicity, marital status, income, and education as predictors of change in telomere length over a 10-year period in linear mixed effects models. Mean age at baseline was 61 years, and the sample was 54% female, 27% white, 30% African-American, and 43% Hispanic. At baseline, 58% of the sample was married; 32% had household income below $25,000 per year, 35% had income between $25,000 and $49,999 per year, and 34% had income above $50,000 per year; 41% had a high school education or less, 30% had some college, and 29% had a college degree or more. Relative telomere length (T/S ratio) was measured by the quantitative polymerase chain reaction method. In general, ten-year telomere attrition was greater for groups that had longer telomere length at baseline, including younger people, whites, and women. After adjusting for baseline telomere length, race/ethnic differences in telomere attrition were attenuated, and age and sex differences were reversed, such that older people and men showed greater telomere shortening. There were no significant differences in telomere attrition by marital status, income, or education. There is not yet a consensus in the field regarding whether to adjust for baseline telomere length in models examining predictors of telomere attrition. To ensure comparability across studies, researchers should report results both with and without adjustment for baseline telomere length.
尽管端粒长度的流行病学研究越来越普遍,但很少有基于人群的多民族研究包括端粒缩短的数据,端粒缩短可能比单一的端粒长度测量更能预测发病率和死亡率。本研究使用来自动脉粥样硬化多民族研究(MESA)的 1169 名参与者的储存血液样本,通过线性混合效应模型检查年龄、性别、种族/民族、婚姻状况、收入和教育与 10 年内端粒长度变化的关系。基线时的平均年龄为 61 岁,样本中 54%为女性,27%为白人,30%为非裔美国人,43%为西班牙裔。基线时,58%的样本已婚;32%的家庭年收入低于 25000 美元,35%的家庭年收入在 25000 美元至 49999 美元之间,34%的家庭年收入超过 50000 美元;41%的人具有高中或以下学历,30%的人具有一些大学学历,29%的人具有大学学历或更高学历。相对端粒长度(T/S 比)通过定量聚合酶链反应方法测量。一般来说,基线端粒长度较长的组,包括年轻人、白人以及女性,十年内端粒损耗更大。在调整基线端粒长度后,种族/民族之间的端粒损耗差异减弱,年龄和性别差异反转,即年龄较大和男性的端粒缩短更为明显。婚姻状况、收入或教育对端粒损耗没有显著影响。在检查端粒损耗预测因素的模型中,是否应调整基线端粒长度,目前在该领域尚未达成共识。为确保研究之间的可比性,研究人员应报告既调整也不调整基线端粒长度的结果。