Assessment of the Effectiveness of a Computerised Decision-Support Tool for Health Professionals for the Prevention and Treatment of Childhood Obesity. Results from a Randomised Controlled Trial

Moschonis, George; Tsoutsoulopoulou, Konstantina; Vlachopapadopoulou, Elpis; Michalacos, Stefanos; Charmandari, Evangelia; Chrousos, George P.; Μanios, Yannis

doi:10.3390/nu11030706

Cited by 16 publications

(20 citation statements)

References 30 publications

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“…In a variety of scenarios and using different tools and techniques, personalised nutrition has been acknowledged as more effective in producing appropriate changes in dietary intake and health outcomes compared to one-size-fits-all advice [23][24][25][26][27]. Within Australian middle-aged adults with cardiovascular risk factors, dietary feedback tailored for stages of behaviour change was more effective than small group nutrition education sessions in improving fruit intake [23].…”

Section: Discussionmentioning

confidence: 99%

“…Dietary advice tailored to pregnant women through a computer-based algorithm improved their diet quality and nutrient adequacy compared to those women that received generic dietary advice [26]. Finally, Moschonis et al [27] developed a computerised decision-support tool to assist paediatric healthcare professionals in the management of obesity-related behaviours and found improvements in the dietary intake only in the group receiving advice through the tool. All examples abovementioned assessed the delivery of dietary advice at an individual level and clearly support the use of personalised nutrition to improve dietary intake.…”

Section: Table 4 Total Agreement Between the Dietary Advice Assigned mentioning

confidence: 99%

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Optimisation of a metabotype approach to deliver targeted dietary advice

et al. 2020

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Background Targeted nutrition is defined as dietary advice tailored at a group level. Groups known as metabotypes can be identified based on individual metabolic profiles. Metabotypes have been associated with differential responses to diet, which support their use to deliver dietary advice. We aimed to optimise a metabotype approach to deliver targeted dietary advice by encompassing more specific recommendations on nutrient and food intakes and dietary behaviours. Methods Participants (n = 207) were classified into three metabotypes based on four biomarkers (triacylglycerol, total cholesterol, HDL-cholesterol and glucose) and using a k-means cluster model. Participants in metabotype-1 had the highest average HDL-cholesterol, in metabotype-2 the lowest triacylglycerol and total cholesterol, and in metabotype-3 the highest triacylglycerol and total cholesterol. For each participant, dietary advice was assigned using decision trees for both metabotype (group level) and personalised (individual level) approaches. Agreement between methods was compared at the message level and the metabotype approach was optimised to incorporate messages exclusively assigned by the personalised approach and current dietary guidelines. The optimised metabotype approach was subsequently compared with individualised advice manually compiled. Results The metabotype approach comprised advice for improving the intake of saturated fat (69% of participants), fibre (66%) and salt (18%), while the personalised approach assigned advice for improving the intake of folate (63%), fibre (63%), saturated fat (61%), calcium (34%), monounsaturated fat (24%) and salt (14%). Following the optimisation of the metabotype approach, the most frequent messages assigned to address intake of key nutrients were to increase the intake of fruit and vegetables, beans and pulses, dark green vegetables, and oily fish, to limit processed meats and high-fat food products and to choose fibre-rich carbohydrates, low-fat dairy and lean meats (60–69%). An average agreement of 82.8% between metabotype and manual approaches was revealed, with excellent agreements in metabotype-1 (94.4%) and metabotype-3 (92.3%). Conclusions The optimised metabotype approach proved capable of delivering targeted dietary advice for healthy adults, being highly comparable with individualised advice. The next step is to ascertain whether the optimised metabotype approach is effective in changing diet quality.

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Section: Discussionmentioning

confidence: 99%

Section: Table 4 Total Agreement Between the Dietary Advice Assigned mentioning

confidence: 99%

Optimisation of a metabotype approach to deliver targeted dietary advice

et al. 2020

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“…The CG demonstrated a significant increase of body weight and waist circumference by 1.4 kg and 2.1 cm, respectively, while BMI decreased only in the IG by −0.4 kg/m2. These findings indicate that the DST provides significant support to healthcare professionals to favorably modify obesity-related behaviors and BMI in children and adolescents [24].…”

Section: D/decision Support Tool (Dst) For Pediatric Health Care Profmentioning

confidence: 74%

“…In order to assist pediatricians and pediatric endocrinologists to deliver personalized advice on nutrition and lifestyle to children and their families, a computerized decision-support tool (DST) was developed by the Department of Nutrition and Dietetics at Harokopio University, Athens, Greece [24]. The development of the computerized DST is based on decision-tree algorithms, which include five different levels.…”

Section: D/decision Support Tool (Dst) For Pediatric Health Care Profmentioning

confidence: 99%

“…The IG received personalized meal plans and recommendations on lifestyle modification according to the DST, while the CG received general recommendations. Data were collected at baseline and three months later [24]. After three months of intervention, the IG demonstrated a statistically significant change in dietary fiber and sucrose intake by 4.1 and −4.6 g/day, respectively.…”

Section: D/decision Support Tool (Dst) For Pediatric Health Care Profmentioning

confidence: 99%

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Novel e-Health Applications for the Management of Cardiometabolic Risk Factors in Children and Adolescents in Greece

et al. 2020

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Obesity in childhood and adolescence represents a major health problem. Novel e-Health technologies have been developed in order to provide a comprehensive and personalized plan of action for the prevention and management of overweight and obesity in childhood and adolescence. We used information and communication technologies to develop a “National Registry for the Prevention and Management of Overweight and Obesity” in order to register online children and adolescents nationwide, and to guide pediatricians and general practitioners regarding the management of overweight or obese subjects. Furthermore, intelligent multi-level information systems and specialized artificial intelligence algorithms are being developed with a view to offering precision and personalized medical management to obese or overweight subjects. Moreover, the Big Data against Childhood Obesity platform records behavioral data objectively by using inertial sensors and Global Positioning System (GPS) and combines them with data of the environment, in order to assess the full contextual framework that is associated with increased body mass index (BMI). Finally, a computerized decision-support tool was developed to assist pediatric health care professionals in delivering personalized nutrition and lifestyle optimization advice to overweight or obese children and their families. These e-Health applications are expected to play an important role in the management of overweight and obesity in childhood and adolescence.

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Strategien und Effekte digitaler Interventionen bei der Übergewichts- und Adipositastherapie von Kindern und Jugendlichen – ein systematischer Review

Pawellek

Ziegeldorf

Wulff

2022

Bundesgesundheitsbl

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Zusammenfassung Hintergrund Steigende Adipositasprävalenzen im Kindes- und Jugendalter sind geprägt von ungesunden Lebensweisen wie geringer Bewegung durch hohen Medienkonsum. Neueste Studien nutzen die Erreichbarkeit dieser Zielgruppe durch digitale Medien, womit Technologien neue Ansätze in der Interventionsgestaltung der Gewichtsreduktion darstellen. Allerdings stellt sich die Frage, welche digitalen Kombinationen und methodischen Programmkonzepte effektive Body-Mass-Index(BMI)-Veränderungen bedingen. Ziel Um Erkenntnisse über effektive Maßnahmengestaltung und Medieneinsatz zu gewinnen, sollen digitale Interventionsstrategien zur BMI-Reduktion übergewichtiger Kinder und Jugendlicher analysiert und bewertet werden. Methoden Ein systematischer Review wurde in den Datenbanken Medline via PubMed, Science Direct und Web of Science zur Analyse von Studien aus den Jahren 2016 bis 2021 über Veränderungen im BMI und BMI-Z-Score von übergewichtigen und adipösen 6‑ bis 18-Jährigen durchgeführt. Die methodische Studienqualität wurde nach den Richtlinien des Cochrane Risk of Bias bewertet. Ergebnisse Aus 3974 Studien wurden 7 Artikel identifiziert, die den Einsatz von Fitnessarmbändern, Smartphones und computerbasierten Programmen beschreiben. Alle Medien erzielten BMI-Reduktionen, wobei Smartphoneinterventionen via Anrufe und Nachrichten die signifikantesten Veränderungen bewirkten. Diskussion Smartphones bieten als Anbieter digitaler Programme (z. B. Apps) effektive Ansatzpunkte zur Adipositasreduktion. Auf Basis der Datenlage bestätigt sich neben der Auswahl und der Kombination mehrerer Medien die Relevanz des Familieneinbezugs und die methodische Fundierung der Maßnahmen. Aufgrund des jungen Alters der Teilnehmenden müssen mediale Interventionen zielgruppengerecht zugänglich gemacht werden.

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Assessment of the Effectiveness of a Computerised Decision-Support Tool for Health Professionals for the Prevention and Treatment of Childhood Obesity. Results from a Randomised Controlled Trial

Cited by 16 publications

References 30 publications

Optimisation of a metabotype approach to deliver targeted dietary advice

Optimisation of a metabotype approach to deliver targeted dietary advice

Novel e-Health Applications for the Management of Cardiometabolic Risk Factors in Children and Adolescents in Greece

Strategien und Effekte digitaler Interventionen bei der Übergewichts- und Adipositastherapie von Kindern und Jugendlichen – ein systematischer Review

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