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| 024 | 7 | _ | |a 10.1093/aje/kww210 |2 doi |
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| 100 | 1 | _ | |a Mons, Ute |0 P:(DE-He78)1b59582b6c05ac4e57aa8b90dd9667f9 |b 0 |e First author |u dkfz |
| 245 | _ | _ | |a Leukocyte Telomere Length and All-Cause, Cardiovascular Disease, and Cancer Mortality: Results From Individual-Participant-Data Meta-Analysis of 2 Large Prospective Cohort Studies. |
| 260 | _ | _ | |a Oxford |c 2017 |b Oxford Univ. Press |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 520 | _ | _ | |a We studied the associations of leukocyte telomere length (LTL) with all-cause, cardiovascular disease, and cancer mortality in 12,199 adults participating in 2 population-based prospective cohort studies from Europe (ESTHER) and the United States (Nurses' Health Study). Blood samples were collected in 1989-1990 (Nurses' Health Study) and 2000-2002 (ESTHER). LTL was measured by quantitative polymerase chain reaction. We calculated z scores for LTL to standardize LTL measurements across the cohorts. Cox proportional hazards regression models were used to calculate relative mortality according to continuous levels and quintiles of LTL z scores. The hazard ratios obtained from each cohort were subsequently pooled by meta-analysis. Overall, 2,882 deaths were recorded during follow-up (Nurses' Health Study, 1989-2010; ESTHER, 2000-2015). LTL was inversely associated with age in both cohorts. After adjustment for age, a significant inverse trend of LTL with all-cause mortality was observed in both cohorts. In random-effects meta-analysis, age-adjusted hazard ratios for the shortest LTL quintile compared with the longest were 1.23 (95% confidence interval (CI): 1.04, 1.46) for all-cause mortality, 1.29 (95% CI: 0.83, 2.00) for cardiovascular mortality, and 1.10 (95% CI: 0.88, 1.37) for cancer mortality. In this study population with an age range of 43-75 years, we corroborated previous evidence suggesting that LTL predicts all-cause mortality beyond its association with age. |
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| 700 | 1 | _ | |a Müezzinler, Aysel |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Schöttker, Ben |0 P:(DE-He78)c67a12496b8aac150c0eef888d808d46 |b 2 |u dkfz |
| 700 | 1 | _ | |a Dieffenbach, Aida Karina |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Butterbach, Katja |0 P:(DE-He78)7ca7eafba864e5c3ebb7598149380452 |b 4 |u dkfz |
| 700 | 1 | _ | |a Schick, Matthias |0 P:(DE-He78)c954da35a243d177fdc4a3924f4f8a5c |b 5 |u dkfz |
| 700 | 1 | _ | |a Peasey, Anne |b 6 |
| 700 | 1 | _ | |a De Vivo, Immaculata |b 7 |
| 700 | 1 | _ | |a Trichopoulou, Antonia |b 8 |
| 700 | 1 | _ | |a Boffetta, Paolo |b 9 |
| 700 | 1 | _ | |a Brenner, Hermann |0 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2 |b 10 |e Last author |u dkfz |
| 773 | _ | _ | |a 10.1093/aje/kww210 |g Vol. 185, no. 12, p. 1317 - 1326 |0 PERI:(DE-600)2030043-8 |n 12 |p 1317 - 1326 |t American journal of epidemiology |v 185 |y 2017 |x 1476-6256 |
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