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Technology assisted means for weight management interventions in children - benefits and risks

Obesity rates have been rising to alarmingly high levels during the last decade, especially among young populations, i.e. children and adolescents (1). Recently, it has been proposed that the use of technology means may serve as a valuable tool for supplementing or conducting weight management interventions in children (2).

By the term “technology-assisted interventions” one actually refers to either integrating digital means in an intervention, such as by using a mobile application as a supplement, or implementing the intervention partially or entirely in a digital mode, i.e. by using an internet-based programme. These modes of delivery have gained the interest of the scientific community because of their potential to address barriers of the traditional methods, first and foremost by saving time and cost. This advantage is partly the result of having the ability to reach a greater number of people compared to traditional methods, and even a wide range of population groups. Regarding the dietary intervention per se, they have the potential to integrate some of the behavioral techniques for weight management proven successful in the relevant literature. These include the self-monitoring technique, which is in fact the practice most commonly used among the technology-assisted programs for weight management, the provision of real-time feedback, as well as the development of social-support groups. In this way, the intervention aims to achieve a personalised trait, mimicking the traditional methods (3). Another advantage of the digital means that should not be ignored is that children find them interesting and more enjoyable than conventional ones (4).

However, these innovative means of weight management may well hold some risks. Many of them are not evidence-based, and they have not been tested for their effectiveness or even their safety. For example, it has been recorded that most mobile applications mainly focus on how to create a fancy tool rather than a tool targeted to scientific evidence-based means for weight management. In addition, although they are considered generally well acceptable, their greater effectiveness is not warranted; it is usual that children find them interesting in the beginning, but after a while they become bored and stop using them. At last, there is also the issue of ethical considerations, in the context of the digital recording of our everyday life.

In conclusion, technology assisted methods may supplement and even enhance the work of a health professional, however their optimal use should be examined in order to maximize the benefits gained and minimize the risks. Thus, they should be used with caution and always with the guidance of a health professional, especially for the sensitive age group of children.


1.         Collaboration NCDRF. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults. Lancet 2017;390(10113):2627-42. doi: 10.1016/S0140-6736(17)32129-3.

2.         Adamson AJ, Baranowski T. Developing technological solutions for dietary assessment in children and young people. Journal of human nutrition and dietetics : the official journal of the British Dietetic Association 2014;27 Suppl 1:1-4. doi: 10.1111/jhn.12206.

3.         Bianchi-Hayes JM, Schoenfeld ER, Cataldo R, Huang J, Pati S. Caregiver Preferences regarding Technology's Role in Supporting Adolescent Weight Management. International scholarly research notices 2015;2015:153723. doi: 10.1155/2015/153723.

4.         Turner T, Spruijt-Metz D, Wen CK, Hingle MD. Prevention and treatment of pediatric obesity using mobile and wireless technologies: a systematic review. Pediatric obesity 2015;10(6):403-9. doi: 10.1111/ijpo.12002.


NUTRISHIELD aims at creating a personalised platform for the young. The platform will consist of novel methods & techniques, which analyse a wide range of biomarkers related to nutrition and health disorders.