@article{
 title = {Predictors of mortality in 2,249 nonagenarians--the Danish 1905-Cohort Survey},
 type = {article},
 year = {2003},
 identifiers = {[object Object]},
 keywords = {Activities of Daily Living,Aged,Aged, 80 and over/*statistics & numerical data,Cohort Studies,Denmark/epidemiology,Female,Geriatric Assessment,Humans,Interviews,Male,Mortality/*trends,Predictive Value of Tests,Proportional Hazards Models,Research Support, Non-U.S. Gov't,Research Support, U.S. Gov't, P.H.S.,Risk Factors},
 pages = {1365-1373},
 volume = {51},
 websites = {http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=14511155},
 id = {fd707acd-8637-3890-90ca-bf1c90ed0a7a},
 created = {2017-06-19T13:45:56.028Z},
 file_attached = {true},
 profile_id = {de68dde1-2ff3-3a4e-a214-ef424d0c7646},
 group_id = {b2078731-0913-33b9-8902-a53629a24e83},
 last_modified = {2017-06-19T13:45:56.207Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 source_type = {Journal Article},
 notes = {<m:note>0002-8614<m:linebreak/>Journal Article</m:note>},
 abstract = {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.},
 bibtype = {article},
 author = {Nybo, H and Petersen, H C and Gaist, D and Jeune, B and Andersen, K and McGue, M and Vaupel, J W and Christensen, K},
 journal = {J Am Geriatr Soc},
 number = {10}
}

{"_id":"78XxHAHDcuJHFA4c6","bibbaseid":"nybo-petersen-gaist-jeune-andersen-mcgue-vaupel-christensen-predictorsofmortalityin2249nonagenariansthedanish1905cohortsurvey-2003","downloads":0,"creationDate":"2017-06-19T14:46:35.053Z","title":"Predictors of mortality in 2,249 nonagenarians--the Danish 1905-Cohort Survey","author_short":["Nybo, H.","Petersen, H., C.","Gaist, D.","Jeune, B.","Andersen, K.","McGue, M.","Vaupel, J., W.","Christensen, K."],"year":2003,"bibtype":"article","biburl":null,"bibdata":{"title":"Predictors of mortality in 2,249 nonagenarians--the Danish 1905-Cohort Survey","type":"article","year":"2003","identifiers":"[object Object]","keywords":"Activities of Daily Living,Aged,Aged, 80 and over/*statistics & numerical data,Cohort Studies,Denmark/epidemiology,Female,Geriatric Assessment,Humans,Interviews,Male,Mortality/*trends,Predictive Value of Tests,Proportional Hazards Models,Research Support, Non-U.S. Gov't,Research Support, U.S. Gov't, P.H.S.,Risk Factors","pages":"1365-1373","volume":"51","websites":"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=14511155","id":"fd707acd-8637-3890-90ca-bf1c90ed0a7a","created":"2017-06-19T13:45:56.028Z","file_attached":"true","profile_id":"de68dde1-2ff3-3a4e-a214-ef424d0c7646","group_id":"b2078731-0913-33b9-8902-a53629a24e83","last_modified":"2017-06-19T13:45:56.207Z","read":false,"starred":false,"authored":false,"confirmed":"true","hidden":false,"source_type":"Journal Article","notes":"<m:note>0002-8614<m:linebreak/>Journal Article</m:note>","abstract":"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.","bibtype":"article","author":"Nybo, H and Petersen, H C and Gaist, D and Jeune, B and Andersen, K and McGue, M and Vaupel, J W and Christensen, K","journal":"J Am Geriatr Soc","number":"10","bibtex":"@article{\n title = {Predictors of mortality in 2,249 nonagenarians--the Danish 1905-Cohort Survey},\n type = {article},\n year = {2003},\n identifiers = {[object Object]},\n keywords = {Activities of Daily Living,Aged,Aged, 80 and over/*statistics & numerical data,Cohort Studies,Denmark/epidemiology,Female,Geriatric Assessment,Humans,Interviews,Male,Mortality/*trends,Predictive Value of Tests,Proportional Hazards Models,Research Support, Non-U.S. Gov't,Research Support, U.S. Gov't, P.H.S.,Risk Factors},\n pages = {1365-1373},\n volume = {51},\n websites = {http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=14511155},\n id = {fd707acd-8637-3890-90ca-bf1c90ed0a7a},\n created = {2017-06-19T13:45:56.028Z},\n file_attached = {true},\n profile_id = {de68dde1-2ff3-3a4e-a214-ef424d0c7646},\n group_id = {b2078731-0913-33b9-8902-a53629a24e83},\n last_modified = {2017-06-19T13:45:56.207Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n source_type = {Journal Article},\n notes = {<m:note>0002-8614<m:linebreak/>Journal Article</m:note>},\n abstract = {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.},\n bibtype = {article},\n author = {Nybo, H and Petersen, H C and Gaist, D and Jeune, B and Andersen, K and McGue, M and Vaupel, J W and Christensen, K},\n journal = {J Am Geriatr Soc},\n number = {10}\n}","author_short":["Nybo, H.","Petersen, H., C.","Gaist, D.","Jeune, B.","Andersen, K.","McGue, M.","Vaupel, J., W.","Christensen, K."],"urls":{"Paper":"http://bibbase.org/service/mendeley/de68dde1-2ff3-3a4e-a214-ef424d0c7646/file/08cc9d73-a049-b0c1-54af-3336cd5a0cb2/2003-Predictors_of_mortality_in_2249_nonagenarians--the_Danish_1905-Cohort_Survey.pdf.pdf","Website":"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=14511155"},"bibbaseid":"nybo-petersen-gaist-jeune-andersen-mcgue-vaupel-christensen-predictorsofmortalityin2249nonagenariansthedanish1905cohortsurvey-2003","role":"author","keyword":["Activities of Daily Living","Aged","Aged","80 and over/*statistics & numerical data","Cohort Studies","Denmark/epidemiology","Female","Geriatric Assessment","Humans","Interviews","Male","Mortality/*trends","Predictive Value of Tests","Proportional Hazards Models","Research Support","Non-U.S. Gov't","Research Support","U.S. Gov't","P.H.S.","Risk Factors"],"downloads":0},"search_terms":["predictors","mortality","249","nonagenarians","danish","1905","cohort","survey","nybo","petersen","gaist","jeune","andersen","mcgue","vaupel","christensen"],"keywords":["activities of daily living","aged","aged","80 and over/*statistics & numerical data","cohort studies","denmark/epidemiology","female","geriatric assessment","humans","interviews","male","mortality/*trends","predictive value of tests","proportional hazards models","research support","non-u.s. gov't","research support","u.s. gov't","p.h.s.","risk factors"],"authorIDs":[]}