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Author Notes:

*Author to whom correspondence should be addressed; E-Mail: greg.gibson@biology.gatech.edu; Tel.: +1-404-385-2343; Fax: +1-404-894-0519.

RT carried out most of the statistical analyses.

EHS and KS performed analyses reported in Table 3 and Figure 5 respectively.

LC managed the CHDWB, GM is the current medical director of the CHDWB, and KB conceived and established the Center.

GG co-wrote the paper with RT and supervised the analyses.

We are most grateful to all of the participants in the CHDWB for their willingness to trial this health program and to consent to analysis of their personal data.

Jennifer Vazquez provided excellent logistic support and project management, ably assisted by Ashley Teal, and of course each of the health partners.

The authors declare no conflict of interest.

Subjects:

Research Funding:

Funding for the Predictive Health Institute was provided by Emory University, and Georgia Tech University.

T and GG were supported in part by Project 3 of NIGMS P01 GM099568 (B. Weir, U. Washington).

Keywords:

  • personalized medicine
  • health partner
  • chronic disease risk
  • lifestyle intervention

A Longitudinal Study of Health Improvement in the Atlanta CHDWB Wellness Cohort.

Tools:

Journal Title:

Journal of Personalized Medicine

Volume:

Volume 4, Number 4

Publisher:

, Pages 489-507

Type of Work:

Article | Final Publisher PDF

Abstract:

The Center for Health Discovery and Wellbeing (CHDWB) is an academic program designed to evaluate the efficacy of clinical self-knowledge and health partner counseling for development and maintenance of healthy behaviors. This paper reports on the change in health profiles for over 90 traits, measured in 382 participants over three visits in the 12 months following enrolment. Significant changes in the desired direction of improved health are observed for many traits related to cardiovascular health, including BMI, blood pressure, cholesterol, and arterial stiffness, as well as for summary measures of physical and mental health. The changes are most notable for individuals in the upper quartile of baseline risk, many of whom showed a positive correlated response across clinical categories. By contrast, individuals who start with more healthy profiles do not generally show significant improvements and only a modest impact of targeting specific health attributes was observed. Overall, the CHDWB model shows promise as an effective intervention particularly for individuals at high risk for cardiovascular disease.

Copyright information:

© 2014 by the authors; licensee MDPI, Basel, Switzerland.

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
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