Food Sciences and Nutrition Engineering

A Novel Approach to Characterize State-level Food Environment and Predict Obesity Rate Using Social Media Data: Correlational Study

Chuqin Li, Alexis Jordan, Jun Song, Yaorong Ge, Albert Park

J Med Internet Res 2022 (Dec 13); 24(12):e39340

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Evaluation of OPTIMISE (Online Programme to Tackle Individual’s Meat Intake Through Self-regulation): Cohort Study

Cristina Stewart, Carmen Piernas, Kerstin Frie, Brian Cook, Susan A Jebb

J Med Internet Res 2022 (Dec 12); 24(12):e37389

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Low– and Medium–Socioeconomic-Status Group Members’ Perceived Challenges and Solutions for Healthy Nutrition: Qualitative Focus Group Study

Sander Hermsen, Alex van Kraaij, Guido Camps

JMIR Hum Factors 2022 (Dec 02); 9(4):e40123

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Relative Validation of an Artificial Intelligence–Enhanced, Image-Assisted Mobile App for Dietary Assessment in Adults: Randomized Crossover Study

Audrey Moyen, Aviva Ilysse Rappaport, Chloé Fleurent-Grégoire, Anne-Julie Tessier, Anne-Sophie Brazeau, Stéphanie Chevalier

J Med Internet Res 2022 (Nov 21); 24(11):e40449

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Enhancing Food Intake Tracking in Long-term Care With Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology: Validation and Feasibility Assessment

Kaylen Pfisterer, Robert Amelard, Jennifer Boger, Heather Keller, Audrey Chung, Alexander Wong

JMIR Aging 2022 (Nov 17); 5(4):e37590

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The Assessment of a Personalized Nutrition Tool (eNutri) in Germany: Pilot Study on Usability Metrics and Users’ Experiences

Birgit Kaiser, Tamara Stelzl, Paul Finglas, Kurt Gedrich

JMIR Form Res 2022 (Aug 04); 6(8):e34497

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Using Social Media to Predict Food Deserts in the United States: Infodemiology Study of Tweets

Nekabari Sigalo, Beth St Jean, Vanessa Frias-Martinez

JMIR Public Health Surveill 2022 (Jul 05); 8(7):e34285

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An mHealth Intervention to Reduce the Packing of Discretionary Foods in Children’s Lunch Boxes in Early Childhood Education and Care Services: Cluster Randomized Controlled Trial

Nicole Pearson, Meghan Finch, Rachel Sutherland, Melanie Kingsland, Luke Wolfenden, Taya Wedesweiler, Vanessa Herrmann, Sze Lin Yoong

J Med Internet Res 2022 (Mar 17); 24(3):e27760

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Nutrient and Food Group Prediction as Orchestrated by an Automated Image Recognition System in a Smartphone App (CALO mama): Validation Study

Yuki Sasaki, Koryu Sato, Satomi Kobayashi, Keiko Asakura

JMIR Form Res 2022 (Jan 10); 6(1):e31875

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