Last Posted: May 22, 2019
- A Digital Behavioral Weight Gain Prevention Intervention in Primary Care Practice: Cost and Cost-Effectiveness Analysis.
Krishnan Anirudh et al. Journal of medical Internet research 2019 May 21(5) e12201 - Chatbots as extenders of pediatric obesity intervention: an invited commentary on "Feasibility of Pediatric Obesity & Pre-Diabetes Treatment Support through Tess, the AI Behavioral Coaching Chatbot".
Thompson Debbe et al. Translational behavioral medicine 2019 May 9(3) 448-450 - Feasibility of pediatric obesity and prediabetes treatment support through Tess, the AI behavioral coaching chatbot.
Stephens Taylor N et al. Translational behavioral medicine 2019 May 9(3) 440-447 - Predicting nationwide obesity from food sales using machine learning.
Dunstan Jocelyn et al. Health informatics journal 2019 May 1460458219845959 - Proactive Assessment of Obesity Risk during Infancy (ProAsk): a qualitative study of parents' and professionals' perspectives on an mHealth intervention.
Rose Jennie et al. BMC public health 2019 Mar 19(1) 294 - Adherence With Multiple National Healthy Lifestyle Recommendations in a Large Pediatric Center Electronic Health Record and Reduced Risk of Obesity.
Shook Robin P et al. Mayo Clinic proceedings 2018 93(9) 1247-1255 - Towards personalised molecular feedback for weight loss.
Tejpal Shilpa et al. BMC obesity 2019 620 - Epigenetics in Human Obesity and Type 2 Diabetes.
Ling Charlotte et al. Cell metabolism 2019 Apr - How Helpful Would A Genetic Test For Obesity Risk Be?
R Harris, NPR, May 6, 2019 - A review of the reproductive consequences of consanguinity.
Oniya Olubunmi et al. European journal of obstetrics, gynecology, and reproductive biology 2019 Jan 23287-96
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