Document Detail

Psychosocial correlates of subjective health in sexagenarians, octogenarians, and centenarians.
MedLine Citation:
PMID:  10409994     Owner:  NLM     Status:  MEDLINE    
The purpose of this study was to determine if a psychosocial model was a significant improvement over a demographic or a physical health model in predicting subjective health in older adults. Correlates of subjective health in sexagenarians, octogenarians, and centenarians were examined with hierarchical regression analysis. Data were obtained in the first wave of the Georgia Centenarian Study from 1988 to 1992. Psychosocial variables helped explain a significant component of subjective health variance above and beyond the effects of demographic or physical health variables. For centenarians an apprehensive personality and low levels of control over health were additional correlates of poor subjective health. Centenarians were the only cohort to have a unique set of correlates, indicating a uniqueness in the oldest-old, as compared to the young-old and old-old. These findings indicate that a multidimensional perspective of health in older adults is more appropriate than medical models.
M E Quinn; M A Johnson; L W Poon; P Martin
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Issues in mental health nursing     Volume:  20     ISSN:  0161-2840     ISO Abbreviation:  Issues Ment Health Nurs     Publication Date:    1999 Mar-Apr
Date Detail:
Created Date:  2000-01-06     Completed Date:  2000-01-06     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  7907126     Medline TA:  Issues Ment Health Nurs     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  151-71     Citation Subset:  N    
Department of Community Nursing, Medical College of Georgia, Athens 30605, USA.
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MeSH Terms
Age Factors
Aged / psychology*
Aged, 80 and over
Analysis of Variance
Attitude to Health*
Health Status*
Internal-External Control
Middle Aged
Models, Psychological*
Nursing Methodology Research
Predictive Value of Tests
Regression Analysis
Reproducibility of Results

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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