Ignite Creation Date:
2024-05-05 @ 11:20 AM
Last Modification Date:
2024-10-26 @ 9:05 AM
Study NCT ID:
NCT00005420
Status:
COMPLETED
Last Update Posted:
2016-01-14
First Post:
2000-05-25
Brief Title:
Prediction of Quality of Life in Cardiovascular Disease
Sponsor:
University of Texas at Austin
Organization:
University of Texas at Austin
Study Overview
Official Title:
None
Status:
COMPLETED
Status Verified Date:
2016-01
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
To develop an integrative predictive model of long-term quality of life in cardiovascular disease that emphasized adaptive processes and outcomes
Detailed Description:
BACKGROUND
Modern treatments for cardiovascular disease that enhance survival have increased the need to understand and improve corresponding aspects of quality of life The increasing interest in prevention and health promotion in contemporary cardiovascular care emphasizes reducing risk factors that have major behavioral components such as smoking diet and exercise Personal and social resources and psychological coping strategies are associated with quality of life both directly and indirectly through such positive health behaviors Findings from this research provided an essential foundation for continued investigation focusing on longer-term changes in health status and quality of life in a planned ten-year follow-up with the present sample
DESIGN NARRATIVE
The study developed and tested an integrative prospective structural equation model of the interrelationships among social resources coping strategies positive health behaviors and quality of life in cardiovascular disease over a four-year time-period It also contrasted predictive findings relating to cardiac illness stroke and hypertension with predictive findings from matched-control groups of healthy individuals and individuals with very serious cancer and moderately serious arthritis noncardiovascular disease
The research involved secondary data analysis with a large sample of individuals surveyed through the Center for Health Care Evaluation at the Stanford University Medical School The sample included individuals between the ages of 55 and 65 who had used medical services in two large medical centers Extensive psychosocial and physical health data were available from mail-out inventories at three points in time over a four- year period Of eligible respondents contacts 92 percent agreed to participate in the initial survey and 89 percent 1884 of them provided complete data Participation in one-year and four-year follow-ups approached 90 percent of surviving respondents from the previous survey At the initial testing 411 respondents 22 percent reported diagnosed cardiac illness excluding stroke and hypertension 83 respondents 5 percent reported diagnosed strokes and 593 respondents 31 percent reported diagnosed hypertension
The data base at all three measurement times included extensive information on the quality of life positive health behaviors personal and social resources and coping strategies Computerized hospital medical records were available for one-third of the sample and were used to evaluate the reliability of subjects self-reports of medical conditions and health status Group comparisons were made on two dimensions illness type and post-illness time interval Longitudinal analyses were used to examine causal influences on positive health behaviors and quality of life and to develop and test an integrative predictive model
Modern treatments for cardiovascular disease that enhance survival have increased the need to understand and improve corresponding aspects of quality of life The increasing interest in prevention and health promotion in contemporary cardiovascular care emphasizes reducing risk factors that have major behavioral components such as smoking diet and exercise Personal and social resources and psychological coping strategies are associated with quality of life both directly and indirectly through such positive health behaviors Findings from this research provided an essential foundation for continued investigation focusing on longer-term changes in health status and quality of life in a planned ten-year follow-up with the present sample
DESIGN NARRATIVE
The study developed and tested an integrative prospective structural equation model of the interrelationships among social resources coping strategies positive health behaviors and quality of life in cardiovascular disease over a four-year time-period It also contrasted predictive findings relating to cardiac illness stroke and hypertension with predictive findings from matched-control groups of healthy individuals and individuals with very serious cancer and moderately serious arthritis noncardiovascular disease
The research involved secondary data analysis with a large sample of individuals surveyed through the Center for Health Care Evaluation at the Stanford University Medical School The sample included individuals between the ages of 55 and 65 who had used medical services in two large medical centers Extensive psychosocial and physical health data were available from mail-out inventories at three points in time over a four- year period Of eligible respondents contacts 92 percent agreed to participate in the initial survey and 89 percent 1884 of them provided complete data Participation in one-year and four-year follow-ups approached 90 percent of surviving respondents from the previous survey At the initial testing 411 respondents 22 percent reported diagnosed cardiac illness excluding stroke and hypertension 83 respondents 5 percent reported diagnosed strokes and 593 respondents 31 percent reported diagnosed hypertension
The data base at all three measurement times included extensive information on the quality of life positive health behaviors personal and social resources and coping strategies Computerized hospital medical records were available for one-third of the sample and were used to evaluate the reliability of subjects self-reports of medical conditions and health status Group comparisons were made on two dimensions illness type and post-illness time interval Longitudinal analyses were used to examine causal influences on positive health behaviors and quality of life and to develop and test an integrative predictive model
Study Oversight
Has Oversight DMC:
Is a FDA Regulated Drug?:
Is a FDA Regulated Device?:
Is an Unapproved Device?:
Is a PPSD?:
Is a US Export?:
Is an FDA AA801 Violation?:
Secondary IDs
| Secondary ID | Type | Domain | Link |
|---|---|---|---|
| R03HL048063 | NIH | None | httpsreporternihgovquickSearchR03HL048063 |