Literature DB >> 20514522

Predicting survival and morbidity-free survival to very old age.

Rachel S Newson1, Jacqueline C M Witteman, Oscar H Franco, Bruno H C Stricker, Monique M B Breteler, Albert Hofman, Henning Tiemeier.   

Abstract

As life expectancy continually increases, it is imperative to identify determinants of survival to the extreme end of the lifespan and more importantly to identify factors that increase the chance of survival free of major morbidities. As such, the current study assessed 45 common disease factors as predictors of survival and morbidity-free survival to age 85 years. Within the Rotterdam Study, a population-based cohort, we evaluated morbidity-free participants who were able to attain age 85 within the study duration (n = 2,008). Risk factors were assessed at baseline (1990-1993), and mortality and morbidities were then collected continuously until mortality or the occurrence of their 85th birthday (average time of 7.9 years). Risk factors included demographic and lifestyle variables, health and morbidity indicators and physiological makers. Major morbidities examined included dementia, cancer, cerebrovascular accident, heart failure and myocardial infarction. Logistic regression analyses demonstrated that many of the variables were independently predictive for survival and for morbidity-free ageing to 85 years. These included being female, absence of left ventricular abnormalities, stable body weight, unimpaired instrumental activities of daily living, lower C-RP levels and higher levels of femoral neck bone mineral density and albumin. Relative to non-survival, predictors were stronger for morbidity-free survival than for total survival or survival with morbidity. This suggests that lifespan and healthy survival to older age can be relatively well predicted. Understanding predictors of a long and healthy lifespan is vital for developing primary and secondary preventions to help improve the quality of life of older adults and for reducing the financial burden of the rapidly escalating ageing population.

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Year:  2010        PMID: 20514522      PMCID: PMC2980598          DOI: 10.1007/s11357-010-9154-8

Source DB:  PubMed          Journal:  Age (Dordr)        ISSN: 0161-9152


  45 in total

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Journal:  J Clin Exp Neuropsychol       Date:  2006-08       Impact factor: 2.475

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Journal:  Health Psychol       Date:  1996-03       Impact factor: 4.267

6.  Mortality incidence and the severity of coronary atherosclerosis assessed by computed tomography angiography.

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Authors:  Arnold B Mitnitski; Janice E Graham; Alexander J Mogilner; Kenneth Rockwood
Journal:  BMC Geriatr       Date:  2002-02-27       Impact factor: 3.921

10.  Proposed declassification of disease categories related to sexual orientation in the International Statistical Classification of Diseases and Related Health Problems (ICD-11).

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Journal:  Age (Dordr)       Date:  2014-11-18

2.  Ischemic Stroke in the Elderly: Septuagenarians Versus Octogenarians.

Authors:  Birgül Baştan; Sefer Günaydin; Fatma Belgin Balci; Hürtan Acar; Aytül Mutlu; Feriha Özer; Özlem Çokar
Journal:  Noro Psikiyatr Ars       Date:  2016-12-01       Impact factor: 1.339

3.  Higher dietary diversity scores and protein-rich food consumption were associated with lower risk of all-cause mortality in the oldest old.

Authors:  Yuebin Lv; Virginia Byers Kraus; Xiang Gao; Zhaoxue Yin; Jinhui Zhou; Chen Mao; Jun Duan; Yi Zeng; Melanie Sereny Brasher; Wanying Shi; Xiaoming Shi
Journal:  Clin Nutr       Date:  2019-10-25       Impact factor: 7.324

4.  The Best Predictors of Survival: Do They Vary by Age, Sex, and Race?

Authors:  Noreen Goldman; Dana A Glei; Maxine Weinstein
Journal:  Popul Dev Rev       Date:  2017-07-17

5.  Beyond Self-Reports: Changes in Biomarkers as Predictors of Mortality.

Authors:  Dana A Glei; Noreen Goldman; Germán Rodríguez; Maxine Weinstein
Journal:  Popul Dev Rev       Date:  2014-06-01

6.  Lifestyle, social factors, and survival after age 75: population based study.

Authors:  Debora Rizzuto; Nicola Orsini; Chengxuan Qiu; Hui-Xin Wang; Laura Fratiglioni
Journal:  BMJ       Date:  2012-08-29

7.  Food Habits, Lifestyle Factors and Mortality among Oldest Old Chinese: The Chinese Longitudinal Healthy Longevity Survey (CLHLS).

Authors:  Zumin Shi; Tuohong Zhang; Julie Byles; Sean Martin; Jodie C Avery; Anne W Taylor
Journal:  Nutrients       Date:  2015-09-09       Impact factor: 5.717

8.  How to save Medicare: the anti-aging remedy.

Authors:  Mikhail V Blagosklonny
Journal:  Aging (Albany NY)       Date:  2012-08       Impact factor: 5.682

9.  Genetic markers of bone and joint health and physical capability in older adults: the HALCyon programme.

Authors:  Tamuno Alfred; Yoav Ben-Shlomo; Rachel Cooper; Rebecca Hardy; Cyrus Cooper; Ian J Deary; David Gunnell; Sarah E Harris; Meena Kumari; Richard M Martin; Avan Aihie Sayer; John M Starr; Diana Kuh; Ian N M Day
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10.  Development and calibration of an item bank for the assessment of activities of daily living in cardiovascular patients using Rasch analysis.

Authors:  Harald Baumeister; Birgit Abberger; Anne Haschke; Maren Boecker; Juergen Bengel; Markus Wirtz
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