Menachem Ben-Ezra1, Dov Shmotkin. 1. Department of Psychology, Tel Aviv University, Tel Aviv, Israel. menbe@post.tau.ac.il
Abstract
OBJECTIVES: To examine whether well-known predictors of mortality change their predictive power over time, being reduced or even reversed in the old-old. DESIGN: A multidimensional survey of the Cross-Sectional and Longitudinal Aging Study conducted from 1989 to 1992 with follow-up of mortality after 6, 8, 10, and 12 years since 1989. SETTING: Israel. PARTICIPANTS: Participants (N=1,369) were drawn from a national sample of the Jewish Israeli population aged 75 to 94. MEASUREMENTS: Data included sociodemographic factors and measures of health, physical condition, cognitive performance, and depression. RESULTS: The results showed that age, sex, disability, self-rated health, and marital status predicted mortality and that their predictive power changed over 9 years. CONCLUSION: In the old-old, predictors of mortality changed over time, and their predictive effect eventually diminished. The predictors found to be most significant (age, sex, disability, and self-rated health) support the common cause theory.
OBJECTIVES: To examine whether well-known predictors of mortality change their predictive power over time, being reduced or even reversed in the old-old. DESIGN: A multidimensional survey of the Cross-Sectional and Longitudinal Aging Study conducted from 1989 to 1992 with follow-up of mortality after 6, 8, 10, and 12 years since 1989. SETTING: Israel. PARTICIPANTS: Participants (N=1,369) were drawn from a national sample of the Jewish Israeli population aged 75 to 94. MEASUREMENTS: Data included sociodemographic factors and measures of health, physical condition, cognitive performance, and depression. RESULTS: The results showed that age, sex, disability, self-rated health, and marital status predicted mortality and that their predictive power changed over 9 years. CONCLUSION: In the old-old, predictors of mortality changed over time, and their predictive effect eventually diminished. The predictors found to be most significant (age, sex, disability, and self-rated health) support the common cause theory.
Authors: Csaba P Kovesdy; Ahmed Alrifai; Elvira O Gosmanova; Jun Ling Lu; Robert B Canada; Barry M Wall; Adriana M Hung; Miklos Z Molnar; Kamyar Kalantar-Zadeh Journal: Clin J Am Soc Nephrol Date: 2016-04-21 Impact factor: 8.237
Authors: Mayra Tisminetzky; Hoa L Nguyen; Jerry H Gurwitz; David McManus; Joel Gore; Sonal Singh; Jorge Yarzebski; Robert J Goldberg Journal: Int J Cardiol Date: 2018-08-22 Impact factor: 4.164