Food Sciences and Nutrition Engineering

Articles published in 2022 in this theme: 9 (scroll down to load remaining articles)

2022

View image

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

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

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

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

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

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

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

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

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

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

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

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

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

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

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

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

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

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section