OBJECTIVES: : To elucidate whether well-known predictions of mortality are reduced or even reversed, or whether mortality is a stochastic process in the oldest old. DESIGN: : A multidimensional survey of the Danish 1905 cohort conducted in 1998 with follow-up of vital status after 15 months. SETTING: : Denmark. PARTICIPANTS: : All Danes born in 1905, irrespective of physical and mental status were approached. Two thousand two hundred sixty-two persons of 3,600 participated in this survey. MEASUREMENTS: : Professional interviewers collected data concerning sociodemographic factors, smoking, alcohol consumption, body mass index, physical and cognitive performance, and health during a visit at the participant's residency. Cox regression models were used to evaluate predictors of mortality. RESULTS: : Five hundred seventy-nine (25.7%) of the 2,249 participants eligible for the analysis died during the 15 months follow-up. Multivariate analyses showed that marital status, education, smoking, obesity, consumption of alcohol, and number of self-reported diseases were not associated with mortality. Disability and cognitive impairment were significant risk factors in men and women. In addition poor self-rated health was associated with an increase in mortality in women. CONCLUSION: : In the oldest old, several known predictors of mortality, such as sociodemographic factors, smoking, and obesity, have lost their importance, but a high disability level, poor physical and cognitive performance, and self-rated health (women only), predict mortality, which shows that mortality in the oldest old is not a stochastic process.
OBJECTIVES: : To elucidate whether well-known predictions of mortality are reduced or even reversed, or whether mortality is a stochastic process in the oldest old. DESIGN: : A multidimensional survey of the Danish 1905 cohort conducted in 1998 with follow-up of vital status after 15 months. SETTING: : Denmark. PARTICIPANTS: : All Danes born in 1905, irrespective of physical and mental status were approached. Two thousand two hundred sixty-two persons of 3,600 participated in this survey. MEASUREMENTS: : Professional interviewers collected data concerning sociodemographic factors, smoking, alcohol consumption, body mass index, physical and cognitive performance, and health during a visit at the participant's residency. Cox regression models were used to evaluate predictors of mortality. RESULTS: : Five hundred seventy-nine (25.7%) of the 2,249 participants eligible for the analysis died during the 15 months follow-up. Multivariate analyses showed that marital status, education, smoking, obesity, consumption of alcohol, and number of self-reported diseases were not associated with mortality. Disability and cognitive impairment were significant risk factors in men and women. In addition poor self-rated health was associated with an increase in mortality in women. CONCLUSION: : In the oldest old, several known predictors of mortality, such as sociodemographic factors, smoking, and obesity, have lost their importance, but a high disability level, poor physical and cognitive performance, and self-rated health (women only), predict mortality, which shows that mortality in the oldest old is not a stochastic process.
Authors: Jonas Mengel-From; Mikael Thinggaard; Lene Christiansen; James W Vaupel; Karen Helene Orstavik; Kaare Christensen Journal: Eur J Hum Genet Date: 2011-12-07 Impact factor: 4.246
Authors: Alberto Montesanto; Vincenzo Lagani; Cinzia Martino; Serena Dato; Francesco De Rango; Maurizio Berardelli; Andrea Corsonello; Bruno Mazzei; Vincenzo Mari; Fabrizia Lattanzio; Domenico Conforti; Giuseppe Passarino Journal: Age (Dordr) Date: 2010-03-06
Authors: Anne B Newman; Stefan Walter; Kathryn L Lunetta; Melissa E Garcia; P Eline Slagboom; Kaare Christensen; Alice M Arnold; Thor Aspelund; Yurii S Aulchenko; Emelia J Benjamin; Lene Christiansen; Ralph B D'Agostino; Annette L Fitzpatrick; Nora Franceschini; Nicole L Glazer; Vilmundur Gudnason; Albert Hofman; Robert Kaplan; David Karasik; Margaret Kelly-Hayes; Douglas P Kiel; Lenore J Launer; Kristin D Marciante; Joseph M Massaro; Iva Miljkovic; Michael A Nalls; Dena Hernandez; Bruce M Psaty; Fernando Rivadeneira; Jerome Rotter; Sudha Seshadri; Albert V Smith; Kent D Taylor; Henning Tiemeier; Hae-Won Uh; André G Uitterlinden; James W Vaupel; Jeremy Walston; Rudi G J Westendorp; Tamara B Harris; Thomas Lumley; Cornelia M van Duijn; Joanne M Murabito Journal: J Gerontol A Biol Sci Med Sci Date: 2010-03-18 Impact factor: 6.053
Authors: Kyle W Murdock; Christopher P Fagundes; M Kristen Peek; Vansh Vohra; Raymond P Stowe Journal: Psychoneuroendocrinology Date: 2016-06-25 Impact factor: 4.905