How do gamified digital therapeutics work on obesity self-management?
Metabol Open
; 23: 100314, 2024 Sep.
Article
en En
| MEDLINE
| ID: mdl-39290343
ABSTRACT
Obesity management can effectively reduce the risks and complications associated with obesity and improve the quality of life of patients. After assessing the advantages and limitations of various obesity management approaches, self-management has been strongly recommended due to the advantages of minimal side effects and lower costs compared to treatment via drugs and surgery. However, successfully implementing lifestyle intervention strategies requires scientific guidance and strong determination. With the development of electronic and information technology, lifestyle intervention has transformed considerably. A new concept, called Gamified Digital Therapeutics (GDTx), represents a gaming format with Digital Therapeutics (DTx). It can effectively enhance patient compliance and accessibility to chronic disease management. Here, we review recent studies on the application of GDTx for the self-management of obesity and discuss three aspects surrounding its completion rates, satisfaction levels, and effectiveness. In contrast to traditional approaches to obesity self-management, implementing GDTx effectively corrects unhealthy dietary and lifestyle habits, markedly enhancing the dissemination of nutritional and exercise-related health knowledge. Of particular significance is the evident improvement in the adherence of obese patients to weight loss programs. Despite numerous studies indicating that GDTx may offer an effective solution for obesity self-management, there are still several limitations in the medicalization of GDTx for self-management of obesity. This review aimed to provide a reference for subsequent studies and promote the widespread application of GDTx in obesity self-management to help reduce the obesity rate and alleviate the burden on obese patients.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
Metabol Open
Año:
2024
Tipo del documento:
Article
País de afiliación:
China
Pais de publicación:
Reino Unido