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Predictors of mortality in men and women aged 90 and older: a nine-year follow-up study in the Vitality 90+ study
- Source :
- Age and Ageing. 42:468-475
- Publication Year :
- 2013
- Publisher :
- Oxford University Press (OUP), 2013.
-
Abstract
- Background: information about the predictors of mortality among the oldest-old is limited. Also possible gender differences are poorly known. Objective: to examine the predictors of mortality among individuals aged 90 and older, focusing on differences between men and women. We also analysed gender differences in survival at different levels of mobility and activities in daily living (ADL). Design: this 9-year follow-up study is part of the Vitality 90+ study, a population-based study of people aged 90 and older. Subjects: all inhabitants aged 90 and older in the area of Tampere, Finland were contacted, irrespective of health or dwelling place. The study population consisted of 171 men and 717 women. Methods: data were collected with a mailed questionnaire asking questions concerning ADL and mobility, self-rated health, chronic conditions and socio-economic factors. The participation rate was 79%. Cox regression enter models were used for the analysis. Results: older age, male gender, disability in ADL and mobility, poor self-rated health and institutionalisation increased the risk of mortality in the total study group. In age-adjusted Cox regression models, ADL and mobility were stronger predictors in men than in women (gender interactions, P< 0.001). Among those who were partly but not totally dependent in ADL or mobility women survived longer than men. Conclusion: the same health indicators that are important at younger old age also predict mortality in the oldest-old. Disability increases the likelihood of death more in men than women. At a very old age, women survive longer with moderate disability than do men.
- Subjects :
- Male
Gerontology
Aging
Time Factors
Activities of daily living
Institutionalisation
Population
Comorbidity
Kaplan-Meier Estimate
Vitality
Risk Assessment
Disability Evaluation
Sex Factors
Residence Characteristics
Risk Factors
Cause of Death
Surveys and Questionnaires
Activities of Daily Living
Risk of mortality
Health Status Indicators
Humans
Medicine
Mobility Limitation
education
Geriatric Assessment
Finland
Proportional Hazards Models
Aged, 80 and over
education.field_of_study
Proportional hazards model
business.industry
Age Factors
General Medicine
Health indicator
Multivariate Analysis
Population study
Female
Geriatrics and Gerontology
business
Follow-Up Studies
Subjects
Details
- ISSN :
- 14682834 and 00020729
- Volume :
- 42
- Database :
- OpenAIRE
- Journal :
- Age and Ageing
- Accession number :
- edsair.doi.dedup.....e7f0dbc95038d03459fd278f6194e504
- Full Text :
- https://doi.org/10.1093/ageing/aft030