Prediction of Quality of Life in Cardiovascular Disease

January 13, 2016 updated by: University of Texas at Austin
To develop an integrative predictive model of long-term quality of life in cardiovascular disease that emphasized adaptive processes and outcomes.

Study Overview

Status

Completed

Conditions

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.

Study Type

Observational

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

No older than 100 years (Child, Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

Male

Description

No eligibility criteria

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

University of Texas at Austin

Collaborators

National Heart, Lung, and Blood Institute (NHLBI)

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

April 1, 1992

Study Completion

March 1, 1995

Study Registration Dates

First Submitted

May 25, 2000

First Submitted That Met QC Criteria

May 25, 2000

First Posted (Estimate)

May 26, 2000

Study Record Updates

Last Update Posted (Estimate)

January 14, 2016

Last Update Submitted That Met QC Criteria

January 13, 2016

Last Verified

January 1, 2016

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 4338
  • R03HL048063 (U.S. NIH Grant/Contract)

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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