Format

Send to

Choose Destination
See comment in PubMed Commons below
Prog Cardiovasc Dis. 2016 May-Jun;58(6):595-604. doi: 10.1016/j.pcad.2016.02.003. Epub 2016 Feb 18.

Personalized Weight Management Interventions for Cardiovascular Risk Reduction: A Viable Option for African-American Women.

Author information

1
Department of Physical Therapy, University of Illinois at Chicago, Chicago, IL; Integrative Physiology Laboratory, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, IL. Electronic address: njohns6@uic.edu.
2
Department of Physical Therapy, University of Illinois at Chicago, Chicago, IL; Integrative Physiology Laboratory, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, IL.

Abstract

Obesity is an independent contributor to cardiovascular disease (CVD) and a major driving force behind racial/ethnic and gender disparities in risk. Due to a multitude of interrelating factors (i.e., personal, social, cultural, economic and environmental), African-American (AA) women are disproportionately obese and twice as likely to succumb to CVD, yet they are significantly underrepresented in behavioral weight management interventions. In this selective review we highlight components of the limited interventions shown to enhance weight loss outcomes in this population and make a case for leveraging Web-based technology and artificial intelligence techniques to deliver personalized programs aimed at obesity treatment and CVD risk reduction. Although many of the approaches discussed are generally applicable across populations burdened by disparate rates of obesity and CVD, we specifically focus on AA women due to the disproportionate impact of these non-communicable diseases and the general paucity of interventions targeted to this high-risk group.

KEYWORDS:

African-American women; Artificial intelligence; Cardiovascular risk; Primary prevention; Weight loss

PMID:
26908050
DOI:
10.1016/j.pcad.2016.02.003
[Indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Elsevier Science
    Loading ...
    Support Center