In the past two decades, research on technology-based behavior change has grown. Many different digital technologies are already used for the home office, social life, and entertainment. Technological advances in society provide an opportunity to overcome the barrier of inadequate training in effective nutrition counseling and to help individuals make lifestyle changes. Community-based interventions are also exploring the use of technology. New technologies have been used in social and behavioral research in many domains. We can use these innovative technologies to improve nutrition education and research. For example, we can use digital technologies to teach children to eat healthily and to perform nutritional interventions on patients with obesity or diabetes.
This research topic aims to provide selected contributions on the key categories used in digital technology-based education and research that are classified into technology, behavioral targets, theories, and behavioral change framework used for the formation of healthy behaviors. The first category, technology, refers to the type of technology-based tool that is used to change a behavior, that is, a digital device (for example mobile phones, wearable cameras, or sensors), hardware, or software solution. The second category includes behaviors that are targeted for change, for example, diet, sedentary behavior, mental health, or physical activity. In the third category, the theories/models of behavior change used to guide the design and development of the intervention are described.
As a result of the COVID-19 pandemic, societies and decision-makers around the world are paying more attention to health issues and the global rise in obesity. Emerging technologies could be used to target and change unhealthy behaviors and could just as well be used to prevent obesity from reaching a wide audience.
1. Web-based technologies for nutrition education and interventions
2. Mobile technologies for nutrition education and interventions
3. Wearable sensor technology for nutrition education and interventions
4. Virtual reality technologies for nutrition education and interventions
In the past two decades, research on technology-based behavior change has grown. Many different digital technologies are already used for the home office, social life, and entertainment. Technological advances in society provide an opportunity to overcome the barrier of inadequate training in effective nutrition counseling and to help individuals make lifestyle changes. Community-based interventions are also exploring the use of technology. New technologies have been used in social and behavioral research in many domains. We can use these innovative technologies to improve nutrition education and research. For example, we can use digital technologies to teach children to eat healthily and to perform nutritional interventions on patients with obesity or diabetes.
This research topic aims to provide selected contributions on the key categories used in digital technology-based education and research that are classified into technology, behavioral targets, theories, and behavioral change framework used for the formation of healthy behaviors. The first category, technology, refers to the type of technology-based tool that is used to change a behavior, that is, a digital device (for example mobile phones, wearable cameras, or sensors), hardware, or software solution. The second category includes behaviors that are targeted for change, for example, diet, sedentary behavior, mental health, or physical activity. In the third category, the theories/models of behavior change used to guide the design and development of the intervention are described.
As a result of the COVID-19 pandemic, societies and decision-makers around the world are paying more attention to health issues and the global rise in obesity. Emerging technologies could be used to target and change unhealthy behaviors and could just as well be used to prevent obesity from reaching a wide audience.
1. Web-based technologies for nutrition education and interventions
2. Mobile technologies for nutrition education and interventions
3. Wearable sensor technology for nutrition education and interventions
4. Virtual reality technologies for nutrition education and interventions
