DESCRIPTION: (Applicant's Description)
The proposed study entitled, The Quality of Life (QOL) of Older Adult
Long-term Cancer Survivors, has as its primary aim to determine the
physiologic, psychologic, and social long-term effects of surviving cancer
on older adults (age 60+). This study uses the general stress and coping
paradigm and combines the perspectives of extreme stress theory and identity
theory to examine the effects of cancer among a uniquely vulnerable group of
survivors: older adults. The physiologic outcomes include indicators for
assessing the QOL of older adults, such as physical and cognitive
functioning and their appraisal of their physical health and symptoms;
psychological outcomes include a global indicator of well being/life
satisfaction along with measures of psychological distress (e.g., anxiety
and depression) and symptoms of post-traumatic stress disorder (PTSD). In
addition, several cancer specific measures of psychological QOL will tap
fear of recurrence and stigma. Social QOL outcomes include effects on
survivor's identity relevant characteristics, such as self-esteem and body
image, and development of the survivor identity with indicators of a
survivor's ability to maintain valued roles. Other core features of the
model are personal dispositions, such as coping style and health beliefs,
along with proactive behaviors, such as health promotion and marshaling
support and how these buffer cancer survivors from the chronic stressors
associated with cancer survivorship. Other buffers include social support
(e.g., informal support received from family and friends and responsiveness
of medical care). Central to the analysis are age-related stressors, such
as co-morbid health problems and other negative life events that may
exacerbate the stress associated with cancer. We propose a 60-month study
using a longitudinal design to collect and analyze three waves of in-person
interviews with 360 older adults (60 years of age and older), former
patients of the Ireland Cancer Center (ICC) of University Hospitals (UH) of
Cleveland. The interview data will be combined with the tumor registry life
data for each survivor. The sample will include long-term survivors (5
years beyond primary treatment and currently in remission) and stratify the
sample on colorectal (N=120), prostate (N=120), and breast cancer N=120),
three of the four most common cancers among older adults and those in the
ICC tumor registry. It will over-sample African-Americans (N=180) to
provide maximum analytic power to identify racial differences. The ICC of
UH is one of 12 National Institutes of Health (NIH) Clinical Cancer Centers
with data on 25,500 cancer patients diagnosed and/or treated at University
Hospitals of Cleveland since 1975. Multivariate analysis, such as
regression and structural equation modeling, and growth curve analysis will
be used to investigate the relationship between the variables in our
conceptual model. Specific comparative analyses are planned with age,
gender, and racial subgroups.
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