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

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• 作者：Nina C. Franklin ; ^{njohns6@uic.edu" class="auth_mail" title="E-mail the corresponding author} ; Ross Arena
• 关键词：AA ; African-American ; AI ; artificial intelligence ; CVD ; cardiovascular disease ; LTPA ; leisure-time physical activity ; PA ; physical activity ; US ; United States ; WMI ; weight management intervention
• 刊名：Progress in Cardiovascular Diseases
• 出版年：2016
• 出版时间：May-June 2016
• 年：2016
• 卷：58
• 期：6
• 页码：595-604
• 全文大小：511 K

文摘

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.