A5007110546- Obesity, Physical Activity, Diet
- Mobile Health and mHealth Applications
- Nutritional Studies and Diet
- Food Security and Health in Diverse Populations
- Obesity and Health Practices
- Impact of Technology on Adolescents
- Child Development and Digital Technology
- Child Nutrition and Feeding Issues
- Diet and metabolism studies
- Health and Lifestyle Studies
- Physical Activity and Health
- Eating Disorders and Behaviors
- Behavioral Health and Interventions
- Diabetes Management and Education
- Nutrition and Health in Aging
- Early Childhood Education and Development
- Smoking Behavior and Cessation
- Consumer Attitudes and Food Labeling
- Body Composition Measurement Techniques
- Digital Mental Health Interventions
- Dietary Effects on Health
- Innovative Human-Technology Interaction
- Urban Agriculture and Sustainability
- Homelessness and Social Issues
- Youth Development and Social Support
University of Arizona
2015-2024
Montana State University
2020
Swanson Center
2020
Environmental Education Exchange
2018
Collaborative Research Group
2016
Center For Remote Sensing (United States)
2014
University of California, Irvine
2014
Children's Nutrition Research Center at Baylor College of Medicine
2009-2011
National Institute of Food and Agriculture
2011
Baylor College of Medicine
2010
Engagement in electronic health (eHealth) and mobile (mHealth) behavior change interventions is thought to be important for intervention effectiveness, though what constitutes engagement how it enhances efficacy has been somewhat unclear the literature. Recently published detailed definitions conceptual models of have helped build consensus around a definition improve our understanding may influence effectiveness. This work establish clearer research agenda. However, test hypotheses...
The relationship between various diet quality indices and risk of type 2 diabetes (T2D) remains unsettled. We compared associations 4 indices--the Alternate Mediterranean Diet Index, Healthy Eating Index 2010, the Dietary Approaches to Stop Hypertension (DASH) Index--with reported T2D in Women's Health Initiative, overall, by race/ethnicity, with/without adjustment for overweight/obesity at enrollment (a potential mediator). This cohort (n = 101,504) included postmenopausal women without who...
We investigate the predictive power behind language of food on social media. collect a corpus over three million food-related posts from Twitter and demonstrate that many latent population characteristics can be directly predicted this data: overweight rate, diabetes political leaning, home geographical location authors. For all tasks, our language-based models significantly outperform majority-class baselines. Performance is further improved with more complex natural processing, such as...
To quantify the number and type of students failing to secure basic needs.Students attending 22 postsecondary schools in United States Fall 2019.The Adult Food Security Module part #RealCollege Survey were used measure food housing insecurity, respectively. Logistic linear regression models assess relationship between selected factors needs insecurities.Participants (n = 22,153) classified as 44.1% 52.3% insecure insecure, Homeless or those who experienced childhood insecurity at greatest...
Background: Increasing an individual's awareness and understanding of their dietary habits reasons for eating may help facilitate positive changes. Mobile technologies allow individuals to record diet-related behavior in real time from any location; however, the most popular software applications lack empirical evidence supporting efficacy as health promotion tools. Objective: The purpose this study was test feasibility acceptability a social media application (Twitter) capture young adults'...
Abstract Objective: To assess the relationship between food insecurity, sleep quality, and days with mental physical health issues among college students. Design: An online survey was administered. Food insecurity assessed using ten-item Adult Security Survey Module. Sleep measured nineteen-item Pittsburgh Quality Index (PSQI). Mental were three items from Healthy Days Core Multivariate logistic regression conducted to poor health. Setting: Twenty-two higher education institutions....
Screen media (television, computers, and videogames) use has been linked to multiple child outcomes, including obesity. Parents can be an important influence on children's screen use. There increase in the number of instruments available assess parenting feeding physical activity contexts, however few measures are practices regarding A working group researchers convened at preconference workshop 2012 International Society for Behavioral Nutrition Physical Activity (ISBNPA) annual meeting,...