Bruce M Burchett
Biographic Data
| ID | 165737 |
|---|---|
| NAME | Bruce M Burchett |
| GIVEN NAMES | Bruce M |
| FAMILY NAME | Burchett |
| SIGNATURE | BURCHETT B M |
| AFFILIATIONS | Duke Medical Center |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 6 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1986 |
| LATEST PUBLICATION YEAR | 2003 |
| H-INDEX | 1 |
Apoe ε4 as a Predictor of Subjective Quality of Life in a Biracial Older Person Community Sample
This study is among the first to explore the association of the epsilon4 allele with overall QOL. Considered from a public health perspective, these findings challenge the uncritical assumption that the presence of this susceptibility gene in the population implies an excess burden of poor QOL. The findings do not contradict the previous association of epsilon4 with Alzheimer's disease (AD) and other conditions. Such conditions continue to merit …
Predictors of Disability in the Final Year of Life
Disability among deceased subjects in the Duke Established Population for Epidemiologic Studies of the Elderly (EPESE) survey was analyzed to determine the risk of becoming disabled before or during the final year of life and the predictors of this disability. The method was a comparison of the baseline characteristics of decedents who became disabled with the characteristics of decedents who were not disabled. It was found that 63% of the initia…
The Association of Age and Depression Among the Elderly
Advanced age among the elderly has been hypothesized to be a risk factor for depression, yet extant data do not uniformly support this hypothesis. The paucity of sufficiently large and representative samples of both the young-old and old-old and the failure to control for critical variables known to confound the association between advanced age and depression have prevented testing this hypothesis. The Duke EPESE (Establishment of a Population fo…
Sunshine Patriots
Retirement
Retirement
Predictors of Disability in the Final Year of Life
Disability among deceased subjects in the Duke Established Population for Epidemiologic Studies of the Elderly (EPESE) survey was analyzed to determine the risk of becoming disabled before or during the final year of life and the predictors of this disability. The method was a comparison of the baseline characteristics of decedents who became disabled with the characteristics of decedents who were not disabled. It was found that 63% of the initia…
Retirement
Retirement
Sunshine Patriots
The Association of Age and Depression Among the Elderly
Advanced age among the elderly has been hypothesized to be a risk factor for depression, yet extant data do not uniformly support this hypothesis. The paucity of sufficiently large and representative samples of both the young-old and old-old and the failure to control for critical variables known to confound the association between advanced age and depression have prevented testing this hypothesis. The Duke EPESE (Establishment of a Population fo…
Predictors of Disability in the Final Year of Life
Disability among deceased subjects in the Duke Established Population for Epidemiologic Studies of the Elderly (EPESE) survey was analyzed to determine the risk of becoming disabled before or during the final year of life and the predictors of this disability. The method was a comparison of the baseline characteristics of decedents who became disabled with the characteristics of decedents who were not disabled. It was found that 63% of the initia…
Apoe ε4 as a Predictor of Subjective Quality of Life in a Biracial Older Person Community Sample
This study is among the first to explore the association of the epsilon4 allele with overall QOL. Considered from a public health perspective, these findings challenge the uncritical assumption that the presence of this susceptibility gene in the population implies an excess burden of poor QOL. The findings do not contradict the previous association of epsilon4 with Alzheimer's disease (AD) and other conditions. Such conditions continue to merit …
Psychology (4 works) · Medicine (3 works) · Psychiatry (3 works) · Retirement, Disability, and Employment (3 works) · Demography (2 works) · Demography (2 works) · Environmental health (2 works) · Gerontology (2 works) · Population (2 works) · Activities of daily living (1 work)