Home
HOME ARCHIVE SEARCH TABLE OF CONTENTS

This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Services
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
PubMed
Right arrow PubMed Citation
The Journals of Gerontology Series B: Psychological Sciences and Social Sciences 59:S181-S189 (2004)
© 2004 The Gerontological Society of America


RESEARCH ARTICLE

The Effect of the Duration of Follow-Up in Mortality Analysis: The Temporal Pattern of Different Predictors

Bettina Meinow1,3,, Ingemar Kåreholt2, Marti G. Parker2 and Mats Thorslund1,2,3

1 Department of Social Work, Stockholm University, Sweden.
2 Aging Research Center, Karolinska Institute & Stockholm University, Sweden.
3 Stockholm Gerontology Research Center, Stockholm, Sweden.

Address correspondence to Bettina Meinow, Stockholm Gerontology Research Center, P.O. Box 6401, SE-113 82 Stockholm, Sweden. E-mail: bettina.meinow{at}neurotec.ki.se

Objectives. This study presents a model of the mechanisms affecting how time since baseline affects the correlation between mortality and commonly used predictors.

Methods. In 1986, 421 persons (aged 75 years or older) in a Swedish community were interviewed. Fifteen-year mortality rates were analyzed by using hazard regressions. Rather than using average risk over the whole follow-up time, this study looks at temporal differences in predictor strength.

Results. All studied health variables, living conditions, and life satisfaction were much stronger predictors of mortality during the first 1 or 2 years of follow-up than during later years. Gender, social contacts, and mental status were about equally correlated to mortality throughout the period.

Discussion. Of the presented mechanisms affecting predictive strength, results suggest the importance of the instability of predictors over time. Especially in old populations, predictors that can change rapidly (e.g., health) are strongest for the short term, revealing a lower average mortality risk for longer follow-ups. Rather stable variables (e.g., gender or social contacts) are not affected by the length of follow-up. When average risk is studied over a longer follow-up, insignificant results may hide significant effects during a part of the follow-up. These findings are relevant for studies that examine any kind of outcome after a follow-up.




This article has been cited by other articles:


Home page
Psychosom. Med.Home page
T. Sone, N. Nakaya, K. Ohmori, T. Shimazu, M. Higashiguchi, M. Kakizaki, N. Kikuchi, S. Kuriyama, and I. Tsuji
Sense of Life Worth Living (Ikigai) and Mortality in Japan: Ohsaki Study
Psychosom Med, July 1, 2008; 70(6): 709 - 715.
[Abstract] [Full Text] [PDF]


Home page
J Aging HealthHome page
P. L. Klumb and H. Maier
Daily Activities and Survival at Older Ages
J Aging Health, August 1, 2007; 19(4): 594 - 611.
[Abstract] [PDF]




HOME ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2004 by The Gerontological Society of America.