title: Personalized Weight Management Interventions for Cardiovascular Risk Reduction: A Viable Option for African-American Women.
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.
authors.affiliation: 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.
authors.forename: Nina C
authors.initials: NC
authors.lastname: Franklin
authors.affiliation: 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.
authors.forename: Ross
authors.initials: R
authors.lastname: Arena
mesh_terms: D001741:Black or African American / Q000523:psychology*; D001185:Artificial Intelligence; D001292:Attitude to Computers / Q000208:ethnology; D020811:Biomedical Technology / Q000379:methods*; D002318:Cardiovascular Diseases / Q000208:ethnology / Q000517:prevention & control*; D019033:Delivery of Health Care, Integrated; D005260:Female; D007722:Health Knowledge, Attitudes, Practice / Q000208:ethnology*; D054625:Healthcare Disparities / Q000208:ethnology; D006801:Humans; D009765:Obesity / Q000208:ethnology / Q000503:physiopathology / Q000523:psychology / Q000628:therapy*; D010342:Patient Acceptance of Health Care / Q000208:ethnology; D011322:Primary Prevention / Q000379:methods*; D018570:Risk Assessment; D012307:Risk Factors; D017216:Telemedicine / Q000379:methods*; D016896:Treatment Outcome; D014481:United States / Q000453:epidemiology; D015431:Weight Loss
keywords: African-American women; Artificial intelligence; Cardiovascular risk; Primary prevention; Weight loss