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.
Sociodemographic correlates of change in leukocyte telomere length during mid- to late-life: The Multi-Ethnic Study of Atherosclerosis
Creators
Belinda L. Needham - University of Michigan
Xu Wang - Biostat (United States)
Judith E. Carroll - Semel Institute for Neuroscience and Human Behavior
Sharrelle Barber - Biostat (United States)
Brisa N. Sanchez - University of Michigan
Teresa E. Seeman - University of California, Los Angeles
Ana V. Diez Roux - Biostat (United States)
Publication Details
Psychoneuroendocrinology, v 102, pp 182-188
Publisher
Elsevier
Number of pages
7
Grant note
HHSN268201500003I; N01-HC-95159; N01-HC-95160; N01-HC-95161; N01-HC-95162; N01-HC-95163; N01-HC-95164; N01-HC-95165; N01-HC-95166; N01-HC-95167; N01-HC-95168; N01-HC-95169 / National Heart, Lung, and Blood Institute; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Heart Lung & Blood Institute (NHLBI)
P30AG017265 / NATIONAL INSTITUTE ON AGING; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Aging (NIA)
UL1-TR-000040; UL1-TR-001079; UL1-TR-001420 / NCATS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Center for Advancing Translational Sciences (NCATS)
UL1TR001420 / NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Center for Advancing Translational Sciences (NCATS)
P30AG028748 / UCLA Older Americans Independence Center, NIH/NIA; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Aging (NIA)
P30AG017265 / USC/UCLA Biodemography Center through a P30 grant from the NIA
Resource Type
Journal article
Language
English
Academic Unit
Urban Health Collaborative; Epidemiology and Biostatistics; Drexel University
Web of Science ID
WOS:000462800900023
Scopus ID
2-s2.0-85058531679
Other Identifier
991020100091004721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool: