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

Precision nutrition-based strategy for management of human diseases and healthy aging: current progress and challenges forward

Currently, the treatment of various human ailments is based on different therapeutic approaches including traditional and modern medicine systems. Precision nutrition has come into existence as an emerging approach considering the diverse aspects such as age, sex, genetic and epigenetic makeup, apart from the pathophysiological conditions. The continuously and gradually evolving disciplines of genomics about nutrition have elucidated the importance of genetic variations, epigenetic information, and expression of myriads of genes in disease progression apart from the involvement in modulating therapeutic responses. Further, the investigations have presented the considerable role of gut microbiota comprising of commensal and symbionts performing innumerable activities such as release of bioactive molecules, defense against pathogenic microbes, and regulation of immunity. Noteworthy, the characteristics of the microbiome change depending on host attributes, environmental factors, and habitat, in addition to diet, and therefore can be employed as a biomarker to unravel the response to given food. The specific diet and the components thereof can be suggested for supporting the enrichment of the desired microbial community to some extent as an important part of precision nutrition to achieve not only the goal of human health but also of healthy aging.

Non-Traditional Cardiovascular Risk Factors in Adolescents with Obesity and Metabolic Syndrome May Predict Future Cardiovascular Disease

Obesity in adolescence is associated with significant morbidity and predisposes adolescents to the development of cardiovascular disease (CVD). Although a number of traditional CVD risk factors have been identified in youth, limited data exist regarding non-traditional CVD risk factors. In 89 adolescents with metabolic syndrome (MetS), with 60 age-, gender-, and BMI-matched controls, we determined the non-traditional CVD risk factors (hs-CRP, TG/HDL ratio, ApoB/ApoA1 ratio, NAFLD) in order to investigate whether they may be used as biomarkers for predicting future CVD, and we evaluated their response to the implementation of a multidisciplinary, personalized, lifestyle intervention program for 1 year. We demonstrated that the TG/HDL ratio, IL-2, IL-6, IL-17A, and INF-γ were significantly increased in subjects with MetS than in controls, and may be used as biomarkers to predict future CVD. Subjects with MetS had an increased mean carotid intima-media thickness (cIMT) and prevalence of NAFLD than the controls, while the prevalence of NAFLD correlated strongly with cIMT and IL-6 concentrations. Most of the non-traditional cardiovascular risk factors improved following the implementation of a lifestyle intervention program. These findings indicate that adolescents with MetS may have a greater risk for developing atherosclerosis early in life, while early lifestyle intervention is crucial for preventing the arteriosclerotic process in youth.

Appraisal of Clinical Care Practices for Child Obesity Treatment. Part I: Interventions

The objective of this technical report is to provide clinicians with evidence-based, actionable information upon which to make assessment and treatment decisions for children and adolescents with obesity. In addition, this report will provide an evidence base to inform clinical practice guidelines for the management and treatment of overweight and obesity in children and adolescents. To this end, the goal of this report was to identify all relevant studies to answer 2 overarching key questions: (KQ1) "What are clinically based, effective treatments for obesity?" and (KQ2) "What is the risk of comorbidities among children with obesity?" See Appendix 1 for the conceptual framework and a priori key questions.

Who is trying to lose weight? Trends and prevalence in past-year weight loss attempts among US adults 1999-2018 at the intersection of race/ethnicity, gender, and weight status

Common stereotypes of those who desire or attempt to lose weight often center on the experience of White, thin women. However, prior studies have neglected how systems of oppression at intersection of race/ethnicity, gender, and weight status may interact to place certain subpopulations at elevated risk. Repeated cross-sectional data from the National Health and Nutrition Examination Survey (NHANES) 1999-2018 (n = 53,528), a population-representative sample of US adults, were used to 1) assess trends in past-year weight loss attempts using the Kendall-Mann trend test stratifying by race/ethnicity, gender, and weight status, and 2) estimate the adjusted prevalence of weight loss attempts over the combined 20-year period for combinations of race/ethnicity, gender, and weight status using logistic regression. There were significant monotonic trends from 1999 to 2018 for non-Hispanic Black men (43.8% to 67.8%, FDR adjusted p = .022) with an obese BMI, but not for any other groups. After adjusting for covariates, weight loss attempt prevalence was positively associated with BMI category for all race/ethnicity-gender combinations, although the degree of association differed. These findings underscore the need to use an intersectional lens in weight-related research. Despite limited long-term beneficial health impact, certain population subgroups, particularly Black men with an obese BMI, are increasingly trying to lose weight.

EASO and EFAD Position Statement on Medical Nutrition Therapy for the Management of Overweight and Obesity in Children and Adolescents

INTRODUCTION

This position statement on medical nutrition therapy in the management of overweight or obesity in children and adolescents was prepared by an expert committee convened by the European Association for the Study of Obesity (EASO) and developed in collaboration with the European Federation of the Associations of Dietitians (EFAD).

METHODS

It is based on the best evidence available from systematic reviews of randomized controlled trials on child and adolescent overweight and obesity treatment and other relevant peer-reviewed literature.

RESULTS

Multicomponent behavioural interventions are generally considered to be the gold standard treatment for children and adolescents living with obesity. The evidence presented in this position statement confirms that dietary interventions can effectively improve adiposity-related outcomes. Dietary strategies should focus on the reduction of total energy intake through promotion of food-based guidelines that target modification of usual eating patterns and behaviours. These should target increasing intakes of nutrient-rich foods with a lower energy density, specifically vegetables and fruits, and a reduction in intakes of energy-dense nutrient-poor foods and beverages. In addition, higher intensity, longer duration treatments, delivered by interventionists with specialized dietetic-related skills and co-designed with families, are associated with greater treatment effects.

DISCUSSION

Such interventions should be resourced adequately so that they can be implemented in a range of settings and in different formats, including digital or online delivery, to enhance accessibility.

[Strategies and effects of digital interventions in overweight and obesity treatments in children and adolescents-a systematic review]

BACKGROUND

Rising obesity prevalence in childhood and adolescence are characterized by unhealthy lifestyles such as low physical activity due to high media use. Recent studies use the accessibility of this target group through digital media, whereby technologies represent new approaches in the intervention design of weight reduction. However, the question arises as to which digital combinations and methodological program concepts condition effective body mass index (BMI) changes.

AIM

To gain insights into effective program design and media use; digital intervention strategies for BMI reduction in overweight and obese children and adolescents will be analyzed and evaluated.

METHODS

A systematic review was conducted in the databases MEDLINE via PubMed, Science Direct, and Web of Science to analyze studies from 2016 to 2021 on changes in BMI and BMI z‑score of overweight and obese 6‑ to 18-year-olds. Methodological study quality was assessed according to the Cochrane Risk of Bias guidelines.

RESULTS

From 3974 studies, seven articles describing the use of fitness wristbands, smartphones, and computer-based programs were identified. All media achieved BMI reductions, with smartphone interventions via calls and messages causing the most significant changes.

DISCUSSION

Smartphones as providers of digital programs (e.g., apps) offer effective approaches to obesity reduction. Based on the data, the selection and combination of several media as well as the relevance of family involvement and the methodological foundation of the measures are confirmed. Due to the young age of the participants, media interventions must be made accessible to the target group.

Intelligent Coaching Assistant for the Promotion of Healthy Habits in a Multidomain mHealth-Based Intervention for Brain Health

Brain Health is defined as the development and preservation of optimal brain integrity and neural network functioning for a given age. Recent studies have related healthy habits with better maintenance of brain health across the lifespan. As a part of the Barcelona Brain Health Initiative (BBHI), a mHealth platform has been developed with the purpose of helping people to improve and monitor their healthy habits, facilitating the delivery of health coaching strategies. A decision support system (DSS), named Intelligent Coaching Assistant (ICA), has been developed to ease the work of professional brain health coaches, helping them design and monitor adherence to multidomain interventions in a more efficient manner. Personalized recommendations are based on users’ current healthy habits, individual preferences, and motivational aspects. Taking these inputs, an initial user profile is defined, and the ICA applies an algorithm for determining the most suitable personalized intervention plan. An initial validation has been done focusing on assessing the feasibility and usability of the solution, involving 20 participants for three weeks. We conclude that this kind of technology-based intervention is feasible and implementable in real-world settings. Importantly, the personalized intervention proposal generated by the DSS is feasible and its acceptability and usability are high.

Optimisation of a metabotype approach to deliver targeted dietary advice

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.

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

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.

Personalised Nutrition: Updates, Gaps and Next Steps

Personalised nutrition approaches provide healthy eating advice tailored to the nutritional needs of the individual[...].