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Wilson-Barnes SL, Pagkalos I, Patra E, Kokkinopoulou A, Hassapidou M, Lalama E, Csanalosi M, Kabisch S, Pfeiffer AFH, DeCorte E, Cornelissen V, Bacelar P, Balula Dias S, Stefanidis K, Tsatsou D, Gymnopoulos L, Dimitropoulos K, Rouskas K, Argiriou N, Leoni R, Botana JM, Russell D, Lanham-New SA, Hart K. The development of an EU-wide nutrition and physical activity expert knowledge base to support a personalised mobile application across various EU population groups. NUTR BULL 2024; 49:220-234. [PMID: 38773712 DOI: 10.1111/nbu.12673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 03/18/2024] [Accepted: 03/26/2024] [Indexed: 05/24/2024]
Abstract
A healthy lifestyle comprising regular physical activity and an adequate diet is imperative for the prevention of non-communicable diseases such as hypertension and some cancers. Advances in information computer technology offer the opportunity to provide personalised lifestyle advice directly to the individual through devices such as smartphones or tablets. The overall aim of the PROTEIN project (Wilson-Barnes et al., 2021) was to develop a smartphone application that could provide tailored and dynamic nutrition and physical activity advice directly to the individual in real time. However, to create this mobile health (m-health) smartphone application, a knowledge base of reference ranges for macro-/micronutrient intake, anthropometry, biochemical, physiological and sleep parameters was required to underpin the parameters of the recommender systems. Therefore, the principal aim of this emerging research paper is to describe the process by which experts in nutrition and physiology from the PROTEIN consortium collaborated to develop the nutritional and physical activity requirements, based upon existing recommendations, for 10 separate population groups living within the EU including, but not limited to healthy adults, adults with type 2 diabetes mellitus, cardiovascular disease, excess weight, obesity and iron deficiency anaemia. A secondary aim is to describe the development of a library of 24-h meal plans appropriate for the same groups and also encompassing various dietary preferences and allergies. Overall, the consortium devised an extensive nutrition and physical activity knowledge base that is pertinent to 10 separate EU user groups, is available in 7 different languages and is practically implemented via a library of culturally appropriate, 24-h meal plans.
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Affiliation(s)
- S L Wilson-Barnes
- School of Biosciences & Medicine, University of Surrey, Guildford, UK
| | - I Pagkalos
- Department of Nutritional Sciences and Dietetics, International Hellenic University, Thessaloniki, Greece
| | - E Patra
- Department of Nutritional Sciences and Dietetics, International Hellenic University, Thessaloniki, Greece
| | - A Kokkinopoulou
- Department of Nutritional Sciences and Dietetics, International Hellenic University, Thessaloniki, Greece
| | - M Hassapidou
- Department of Nutritional Sciences and Dietetics, International Hellenic University, Thessaloniki, Greece
| | - E Lalama
- Department of Endocrinology, Diabetes and Nutrition, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - M Csanalosi
- Department of Endocrinology, Diabetes and Nutrition, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - S Kabisch
- Department of Endocrinology, Diabetes and Nutrition, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - A F H Pfeiffer
- Department of Endocrinology, Diabetes and Nutrition, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - E DeCorte
- Department of Rehabilitation Sciences and Department of Cardiovascular Sciences, Katholieke Universiteit Leuven, Leuven, Belgium
| | - V Cornelissen
- Department of Rehabilitation Sciences and Department of Cardiovascular Sciences, Katholieke Universiteit Leuven, Leuven, Belgium
| | - P Bacelar
- Healthium/Nutrium Software, Porto e Região, Portugal
| | - S Balula Dias
- Interdisciplinary Centre for the Study of Human Performance (CIPER), Faculdade de Motricidade Human, Universidade de Lisboa, Lisbon, Portugal
| | - K Stefanidis
- Centre for Research & Technology Hellas, Thessaloniki, Greece
| | - D Tsatsou
- Centre for Research & Technology Hellas, Thessaloniki, Greece
| | - L Gymnopoulos
- Centre for Research & Technology Hellas, Thessaloniki, Greece
| | - K Dimitropoulos
- Centre for Research & Technology Hellas, Thessaloniki, Greece
| | - K Rouskas
- Centre for Research & Technology Hellas, Thessaloniki, Greece
| | - N Argiriou
- Centre for Research & Technology Hellas, Thessaloniki, Greece
| | | | | | | | - S A Lanham-New
- School of Biosciences & Medicine, University of Surrey, Guildford, UK
| | - K Hart
- School of Biosciences & Medicine, University of Surrey, Guildford, UK
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Livingstone KM, Love P, Mathers JC, Kirkpatrick SI, Olstad DL. Cultural adaptations and tailoring of public health nutrition interventions in Indigenous peoples and ethnic minority groups: opportunities for personalised and precision nutrition. Proc Nutr Soc 2023; 82:478-486. [PMID: 37334485 DOI: 10.1017/s002966512300304x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Indigenous peoples and ethnic minority groups often experience poor diet quality and poor health outcomes. Such inequities may be partially due to nutrition interventions not meeting the unique cultural and linguistic needs of these population groups, which could be achieved using co-creation and/or personalised approaches. Cultural adaptation or tailoring of nutrition interventions has shown promise in improving some aspects of dietary intake, but this requires careful consideration to ensure it does not inadvertently exacerbate dietary inequities. The aim of this narrative review was to examine examples of cultural adaptations and/or tailoring of public health nutrition interventions that improved the dietary intake and to consider implications for the optimal design and implementation of personalised and precision nutrition interventions. This review identified six examples of cultural adaptation and/or tailoring of public health nutrition intervention in Indigenous peoples and ethnic minority groups across Australia, Canada and the US. All studies used deep socio-cultural adaptations, such as the use of Indigenous storytelling, and many included surface-level adaptations, such as the use of culturally appropriate imagery in intervention materials. However, it was not possible to attribute any improvements in dietary intake to cultural adaptation and/or tailoring per se, and the minimal reporting on the nature of adaptations limited our ability to determine whether the interventions used true co-creation to design content or were adapted from existing interventions. Findings from this review outline opportunities for personalised nutrition interventions to use co-creation practices to design, deliver and implement interventions in collaboration with Indigenous and ethnic minority groups.
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Affiliation(s)
- Katherine M Livingstone
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Vic 3220, Australia
| | - Penelope Love
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Vic 3220, Australia
| | - John C Mathers
- Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
| | | | - Dana Lee Olstad
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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Vlaicu PA, Untea AE, Varzaru I, Saracila M, Oancea AG. Designing Nutrition for Health-Incorporating Dietary By-Products into Poultry Feeds to Create Functional Foods with Insights into Health Benefits, Risks, Bioactive Compounds, Food Component Functionality and Safety Regulations. Foods 2023; 12:4001. [PMID: 37959120 PMCID: PMC10650119 DOI: 10.3390/foods12214001] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 10/23/2023] [Accepted: 10/30/2023] [Indexed: 11/15/2023] Open
Abstract
This review delves into the concept of nutrition by design, exploring the relationship between poultry production, the utilization of dietary by-products to create functional foods, and their impact on human health. Functional foods are defined as products that extend beyond their basic nutritional value, offering potential benefits in disease prevention and management. Various methods, including extraction, fermentation, enrichment, biotechnology, and nanotechnology, are employed to obtain bioactive compounds for these functional foods. This review also examines the innovative approach of enhancing livestock diets to create functional foods through animal-based methods. Bioactive compounds found in these functional foods, such as essential fatty acids, antioxidants, carotenoids, minerals, vitamins, and bioactive peptides, are highlighted for their potential in promoting well-being and mitigating chronic diseases. Additionally, the review explores the functionality of food components within these products, emphasizing the critical roles of bioaccessibility, bioactivity, and bioavailability in promoting health. The importance of considering key aspects in the design of enhanced poultry diets for functional food production is thoroughly reviewed. The safety of these foods through the establishment of regulations and guidelines was reviewed. It is concluded that the integration of nutrition by design principles empowers individuals to make informed choices that can prioritize their health and well-being. By incorporating functional foods rich in bioactive compounds, consumers can proactively take steps to prevent and manage health issues, ultimately contributing to a healthier society and lifestyle.
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Affiliation(s)
- Petru Alexandru Vlaicu
- Feed and Food Quality Department, National Research and Development Institute for Animal Nutrition and Biology, 077015 Balotesti, Romania; (A.E.U.); (I.V.); (M.S.); (A.G.O.)
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King A, Graham CAM, Glaister M, Da Silva Anastacio V, Pilic L, Mavrommatis Y. The efficacy of genotype-based dietary or physical activity advice in changing behavior to reduce the risk of cardiovascular disease, type II diabetes mellitus or obesity: a systematic review and meta-analysis. Nutr Rev 2023; 81:1235-1253. [PMID: 36779907 DOI: 10.1093/nutrit/nuad001] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/14/2023] Open
Abstract
CONTEXT Despite clear evidence that adherence to dietary and physical activity advice can reduce the risk of cardiometabolic disease, a significant proportion of the population do not follow recommendations. Personalized advice based on genetic variation has been proposed for motivating behavior change, although research on its benefits to date has been contradictory. OBJECTIVE To evaluate the efficacy of genotype-based dietary or physical activity advice in changing behavior in the general population and in individuals who are at risk of cardiovascular disease (CVD) or type II diabetes mellitus (T2DM). DATA SOURCES MEDLINE, EMBASE, PsycInfo, and the Cochrane Central Register of Controlled Trials (CENTRAL) were searched up to January 7, 2022. Randomized controlled trials of a genotype-based dietary and/or physical activity advice intervention that aimed to change dietary and/or physical activity behavior were included. DATA EXTRACTION Abstracts of 7899 records were screened, and 14 reports from 11 studies met the inclusion criteria. DATA ANALYSIS Genotype-based dietary or physical activity advice was found to have no effect on dietary behavior in any of the studies (standardized mean difference [SMD] .00 [-.11 to .11], P = .98), even when analyzed by subgroup: "at risk" (SMD .00 [-.16 to .16, P = .99]; general population (SMD .01 [-.14 to .16], P = .87). The physical activity behavior findings were similar for all studies (SMD -.01 [-.10 to .08], P = .88), even when analyzed by subgroup: "at risk" (SMD .07 [-.18 to .31], P = .59); general population (SMD -.02 [-.13 to .10], P = .77). The quality of the evidence for the dietary behavior outcome was low; for the physical activity behavior outcome it was moderate. CONCLUSIONS Genotype-based advice does not affect dietary or physical activity behavior more than general advice or advice based on lifestyle or phenotypic measures. This was consistent in studies that recruited participants from the general population as well as in studies that had recruited participants from populations at risk of CVD or T2DM. SYSTEMATIC REVIEW REGISTRATION PROSPERO registration no. CRD42021231147.
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Affiliation(s)
- Alexandra King
- Faculty of Sport, Allied Health and Performance Science, St Marys University, London, UK
| | - Catherine A-M Graham
- cereneo Foundation, Center for Interdisciplinary Research (CEFIR), Seestrasse 18, 6354 Vitznau, Switzerland
- Lake Lucerne Institute, Seestrasse 18, 6354 Vitznau, Switzerland
| | - Mark Glaister
- Faculty of Sport, Allied Health and Performance Science, St Marys University, London, UK
| | | | - Leta Pilic
- Faculty of Sport, Allied Health and Performance Science, St Marys University, London, UK
| | - Yiannis Mavrommatis
- Faculty of Sport, Allied Health and Performance Science, St Marys University, London, UK
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Livingstone KM, Ramos-Lopez O, Pérusse L, Kato H, Ordovas JM, Martínez JA. Reprint of: Precision nutrition: A review of current approaches and future endeavors. Trends Food Sci Technol 2022. [DOI: 10.1016/j.tifs.2022.10.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Potter TIT, Horgan GW, Wanders AJ, Zandstra EH, Zock PL, Fisk HL, Minihane AM, Calder PC, Mathers JC, de Roos B. Models predict change in plasma triglyceride concentrations and long-chain n-3 polyunsaturated fatty acid proportions in healthy participants after fish oil intervention. Front Nutr 2022; 9:989716. [PMID: 36386924 PMCID: PMC9641003 DOI: 10.3389/fnut.2022.989716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 09/30/2022] [Indexed: 11/29/2022] Open
Abstract
Introduction Substantial response heterogeneity is commonly seen in dietary intervention trials. In larger datasets, this variability can be exploited to identify predictors, for example genetic and/or phenotypic baseline characteristics, associated with response in an outcome of interest. Objective Using data from a placebo-controlled crossover study (the FINGEN study), supplementing with two doses of long chain n-3 polyunsaturated fatty acids (LC n-3 PUFAs), the primary goal of this analysis was to develop models to predict change in concentrations of plasma triglycerides (TG), and in the plasma phosphatidylcholine (PC) LC n-3 PUFAs eicosapentaenoic acid (EPA) + docosahexaenoic acid (DHA), after fish oil (FO) supplementation. A secondary goal was to establish if clustering of data prior to FO supplementation would lead to identification of groups of participants who responded differentially. Methods To generate models for the outcomes of interest, variable selection methods (forward and backward stepwise selection, LASSO and the Boruta algorithm) were applied to identify suitable predictors. The final model was chosen based on the lowest validation set root mean squared error (RMSE) after applying each method across multiple imputed datasets. Unsupervised clustering of data prior to FO supplementation was implemented using k-medoids and hierarchical clustering, with cluster membership compared with changes in plasma TG and plasma PC EPA + DHA. Results Models for predicting response showed a greater TG-lowering after 1.8 g/day EPA + DHA with lower pre-intervention levels of plasma insulin, LDL cholesterol, C20:3n-6 and saturated fat consumption, but higher pre-intervention levels of plasma TG, and serum IL-10 and VCAM-1. Models also showed greater increases in plasma PC EPA + DHA with age and female sex. There were no statistically significant differences in PC EPA + DHA and TG responses between baseline clusters. Conclusion Our models established new predictors of response in TG (plasma insulin, LDL cholesterol, C20:3n-6, saturated fat consumption, TG, IL-10 and VCAM-1) and in PC EPA + DHA (age and sex) upon intervention with fish oil. We demonstrate how application of statistical methods can provide new insights for precision nutrition, by predicting participants who are most likely to respond beneficially to nutritional interventions.
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Affiliation(s)
| | - Graham W. Horgan
- Biomathematics and Statistics Scotland, Aberdeen, United Kingdom
| | | | - Elizabeth H. Zandstra
- Unilever Foods Innovation Centre, Wageningen, Netherlands
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, Netherlands
| | - Peter L. Zock
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, Netherlands
| | - Helena L. Fisk
- Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Anne M. Minihane
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Philip C. Calder
- Faculty of Medicine, University of Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton, United Kingdom
| | - John C. Mathers
- Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Baukje de Roos
- The Rowett Institute, University of Aberdeen, Aberdeen, United Kingdom
- *Correspondence: Baukje de Roos,
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Identification of Factors Necessary for Enabling Technology-Based Dietary Record Surveys: A Qualitative Focus Group Interview with Japanese Dietitians. Nutrients 2022; 14:nu14204357. [PMID: 36297041 PMCID: PMC9609297 DOI: 10.3390/nu14204357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 10/06/2022] [Accepted: 10/13/2022] [Indexed: 11/20/2022] Open
Abstract
Weighed food records together with an in-person interview approach constitute the most basic methods used to estimate energy and nutrient intakes in dietary surveys. In the background of the coronavirus disease-2019 pandemic, the need for non-face-to-face dietary surveys using information and communication technology (ICT) is increasing. We aimed to evaluate ICT-based dietary record surveys and identify factors that may enable this survey method to become more widely used in the future. We conducted a non-face-to-face survey of dietary records of 44 Japanese individuals, maintained by dietitians using dietary photography and video conferencing services. We conducted a focus group interview with the six dietitians who conducted that survey. Their opinions on the factors necessary to popularize ICT-based dietary survey method were analyzed. In the focus group interview, dietitians highlighted fewer restrictions on time and place as positive aspects. Negative aspects included insufficient skills to operate computers, difficulty in hearing, and understanding facial expressions using ICT. We identified three main factors for enabling widespread use of ICT-based dietary record survey: individual skill, device and technology, and social environmental factors. This suggests that a comprehensive approach is necessary for popularizing the use of ICT in dietary surveys.
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8
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Livingstone KM, Ramos-Lopez O, Pérusse L, Kato H, Ordovas JM, Martínez JA. Precision nutrition: A review of current approaches and future endeavors. Trends Food Sci Technol 2022; 128:253-264. [DOI: https:/doi.org/10.1016/j.tifs.2022.08.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/29/2023]
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9
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Livingstone KM, Ramos-Lopez O, Pérusse L, Kato H, Ordovas JM, Martínez JA. Precision nutrition: A review of current approaches and future endeavors. Trends Food Sci Technol 2022. [DOI: 10.1016/j.tifs.2022.08.017] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Aldubayan MA, Pigsborg K, Gormsen SMO, Serra F, Palou M, Galmés S, Palou-March A, Favari C, Wetzels M, Calleja A, Rodríguez Gómez MA, Castellnou MG, Caimari A, Galofré M, Suñol D, Escoté X, Alcaide-Hidalgo JM, M Del Bas J, Gutierrez B, Krarup T, Hjorth MF, Magkos F. A double-blinded, randomized, parallel intervention to evaluate biomarker-based nutrition plans for weight loss: The PREVENTOMICS study. Clin Nutr 2022; 41:1834-1844. [PMID: 35839545 DOI: 10.1016/j.clnu.2022.06.032] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 06/14/2022] [Accepted: 06/20/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND & AIMS Growing evidence suggests that biomarker-guided dietary interventions can optimize response to treatment. In this study, we evaluated the efficacy of the PREVENTOMCIS platform-which uses metabolomic and genetic information to classify individuals into different 'metabolic clusters' and create personalized dietary plans-for improving health outcomes in subjects with overweight or obesity. METHODS A 10-week parallel, double-blinded, randomized intervention was conducted in 100 adults (82 completers) aged 18-65 years, with body mass index ≥27 but <40 kg/m2, who were allocated into either a personalized diet group (n = 49) or a control diet group (n = 51). About 60% of all food was provided free-of-charge. No specific instruction to restrict energy intake was given. The primary outcome was change in fat mass from baseline, evaluated by dual energy X-ray absorptiometry. Other endpoints included body weight, waist circumference, lipid profile, glucose homeostasis markers, inflammatory markers, blood pressure, physical activity, stress and eating behavior. RESULTS There were significant main effects of time (P < 0.01), but no group main effects, or time-by-group interactions, for the change in fat mass (personalized: -2.1 [95% CI -2.9, -1.4] kg; control: -2.0 [95% CI -2.7, -1.3] kg) and body weight (personalized: -3.1 [95% CI -4.1, -2.1] kg; control: -3.3 [95% CI -4.2, -2.4] kg). The difference between groups in fat mass change was -0.1 kg (95% CI -1.2, 0.9 kg, P = 0.77). Both diets resulted in significant improvements in insulin resistance and lipid profile, but there were no significant differences between groups. CONCLUSION Personalized dietary plans did not result in greater benefits over a generic, but generally healthy diet, in this 10-week clinical trial. Further studies are required to establish the soundness of different precision nutrition approaches, and translate this science into clinically relevant dietary advice to reduce the burden of obesity and its comorbidities. CLINICAL TRIAL REGISTRY ClinicalTrials.gov registry (NCT04590989).
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Affiliation(s)
- Mona A Aldubayan
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Denmark; King Saud bin Abdulaziz University for Health Sciences, College of Applied Medical Sciences, Riyadh, Saudi Arabia
| | - Kristina Pigsborg
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Denmark
| | | | - Francisca Serra
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Nutrigenomics, Biomarkers and Risk Evaluation-NuBE), University of the Balearic Islands (UIB), Health Research Institute of the Balearic Islands (IdISBa), CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Alimentómica S.L., Spin-off n.1 of the UIB Islands, Spain
| | - Mariona Palou
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Nutrigenomics, Biomarkers and Risk Evaluation-NuBE), University of the Balearic Islands (UIB), Health Research Institute of the Balearic Islands (IdISBa), CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Alimentómica S.L., Spin-off n.1 of the UIB Islands, Spain
| | - Sebastià Galmés
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Nutrigenomics, Biomarkers and Risk Evaluation-NuBE), University of the Balearic Islands (UIB), Health Research Institute of the Balearic Islands (IdISBa), CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Alimentómica S.L., Spin-off n.1 of the UIB Islands, Spain
| | - Andreu Palou-March
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Nutrigenomics, Biomarkers and Risk Evaluation-NuBE), University of the Balearic Islands (UIB), Health Research Institute of the Balearic Islands (IdISBa), CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Alimentómica S.L., Spin-off n.1 of the UIB Islands, Spain
| | - Claudia Favari
- Human Nutrition Unit, Department of Food and Drug, University of Parma, Parma, Italy
| | - Mart Wetzels
- ONMI: Behaviour Change Technology, Eindhoven, the Netherlands
| | - Alberto Calleja
- R&D Department, Food Division, Grupo Carinsa, Sant Quirze del Valles, Barcelona, Spain
| | - Miguel Angel Rodríguez Gómez
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira I Virgili-EURECAT, 43204 Reus, Spain
| | - María Guirro Castellnou
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira I Virgili-EURECAT, 43204 Reus, Spain
| | - Antoni Caimari
- Eurecat, Centre Tecnològic de Catalunya, Biotechnology Area, Nutrition and Health Unit, Reus, Spain
| | - Mar Galofré
- Eurecat, Centre tecnològic de Catalunya, Digital Health Unit, Carrer de Bilbao, 72, 08005 Barcelona, Spain
| | - David Suñol
- Eurecat, Centre tecnològic de Catalunya, Digital Health Unit, Carrer de Bilbao, 72, 08005 Barcelona, Spain
| | - Xavier Escoté
- Eurecat, Centre Tecnològic de Catalunya, Biotechnology Area, Nutrition and Health Unit, Reus, Spain
| | | | - Josep M Del Bas
- Eurecat, Centre Tecnològic de Catalunya, Biotechnology Area, Nutrition and Health Unit, Reus, Spain
| | - Biotza Gutierrez
- Eurecat, Centre Tecnològic de Catalunya, Biotechnology Area, Nutrition and Health Unit, Reus, Spain
| | - Thure Krarup
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Denmark; Department of Endocrinology, Bispebjerg and Frederiksberg Hospital, Tuborgvej, Hellerup, Denmark
| | - Mads F Hjorth
- Healthy Weight Centre, Novo Nordisk Foundation, Tuborg Havnevej 19, 2900, Hellerup, Denmark
| | - Faidon Magkos
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Denmark.
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Kan J, Ni J, Xue K, Wang F, Zheng J, Cheng J, Wu P, Runyon MK, Guo H, Du J. Personalized Nutrition Intervention Improves Health Status in Overweight/Obese Chinese Adults: A Randomized Controlled Trial. Front Nutr 2022; 9:919882. [PMID: 35811975 PMCID: PMC9258630 DOI: 10.3389/fnut.2022.919882] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 05/20/2022] [Indexed: 12/21/2022] Open
Abstract
Background Overweight and obesity increase the risk of noncommunicable diseases (NCDs). Personalized nutrition (PN) approaches may provide tailored nutritional advice/service by focusing on individual's unique characteristics to prevent against NCDs. Objective We aimed to compare the effect of PN intervention with the traditional “one size fits all” intervention on health status in overweight/obese Chinese adults. Methods In this 12-week randomized controlled trial, 400 adults with BMI ≥24 kg/m2 were randomized to control group (CG, n = 200) and PN group (PNG, n = 200). The CG received conventional health guidance according to the Dietary Guidelines for Chinese Residents and Chinese DRIs Handbook, whereas the PNG experienced PN intervention that was developed by using decision trees based on the subjects' anthropometric measurements, blood samples (phenotype), buccal cells (genotype), and dietary and physical activity (PA) assessments (baseline and updated). Results Compared with the conventional intervention, PN intervention significantly improved clinical outcomes of anthropometric (e.g., body mass index (BMI), body fat percentage, waist circumference) and blood biomarkers (e.g., blood lipids, uric acid, homocysteine). The improvement in clinical outcomes was achieved through behavior change in diet and PA. The subjects in the PNG had higher China dietary guidelines index values and PA levels. Personalized recommendations of “lose weight,” “increase fiber” and “take multivitamin/mineral supplements” were the major contributors to the decrease of BMI and improvement of lipid profile. Conclusion We provided the first evidence that PN intervention was more beneficial than conventional nutrition intervention to improve health status in overweight/obese Chinese adults. This study provides a model of framework for developing personalized advice in Chinese population. Chictr.org.cn (ChiCTR1900026226).
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Affiliation(s)
- Juntao Kan
- Nutrilite Health Institute, Shanghai, China
| | - Jiayi Ni
- Research Institute of the McGill University Health Center, Montreal, QC, Canada
| | - Kun Xue
- School of Public Health, Fudan University, Shanghai, China
| | | | | | | | - Peiying Wu
- Department of Nutrition, Shanghai General Hospital, Shanghai, China
| | | | - Hongwei Guo
- School of Public Health, Fudan University, Shanghai, China
- Hongwei Guo
| | - Jun Du
- Nutrilite Health Institute, Shanghai, China
- *Correspondence: Jun Du
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de Hoogh IM, van der Kamp JW, Wopereis S. The potential of personalized nutrition for improving wholegrain consumption. J Cereal Sci 2022. [DOI: 10.1016/j.jcs.2022.103505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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13
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Zenun Franco R, Fallaize R, Weech M, Hwang F, Lovegrove JA. Effectiveness of Web-Based Personalized Nutrition Advice for Adults Using the eNutri Web App: Evidence From the EatWellUK Randomized Controlled Trial. J Med Internet Res 2022; 24:e29088. [PMID: 35468093 PMCID: PMC9154737 DOI: 10.2196/29088] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 11/12/2021] [Accepted: 12/16/2021] [Indexed: 11/18/2022] Open
Abstract
Background Evidence suggests that eating behaviors and adherence to dietary guidelines can be improved using nutrition-related apps. Apps delivering personalized nutrition (PN) advice to users can provide individual support at scale with relatively low cost. Objective This study aims to investigate the effectiveness of a mobile web app (eNutri) that delivers automated PN advice for improving diet quality, relative to general population food-based dietary guidelines. Methods Nondiseased UK adults (aged >18 years) were randomized to PN advice or control advice (population-based healthy eating guidelines) in a 12-week controlled, parallel, single-blinded dietary intervention, which was delivered on the web. Dietary intake was assessed using the eNutri Food Frequency Questionnaire (FFQ). An 11-item US modified Alternative Healthy Eating Index (m-AHEI), which aligned with UK dietary and nutritional recommendations, was used to derive the automated PN advice. The primary outcome was a change in diet quality (m-AHEI) at 12 weeks. Participant surveys evaluated the PN report (week 12) and longer-term impact of the PN advice (mean 5.9, SD 0.65 months, after completion of the study). Results Following the baseline FFQ, 210 participants completed at least 1 additional FFQ, and 23 outliers were excluded for unfeasible dietary intakes. The mean interval between FFQs was 10.8 weeks. A total of 96 participants were included in the PN group (mean age 43.5, SD 15.9 years; mean BMI 24.8, SD 4.4 kg/m2) and 91 in the control group (mean age 42.8, SD 14.0 years; mean BMI 24.2, SD 4.4 kg/m2). Compared with that in the control group, the overall m-AHEI score increased by 3.5 out of 100 (95% CI 1.19-5.78) in the PN group, which was equivalent to an increase of 6.1% (P=.003). Specifically, the m-AHEI components nuts and legumes and red and processed meat showed significant improvements in the PN group (P=.04). At follow-up, 64% (27/42) of PN participants agreed that, compared with baseline, they were still following some (any) of the advice received and 31% (13/42) were still motivated to improve their diet. Conclusions These findings suggest that the eNutri app is an effective web-based tool for the automated delivery of PN advice. Furthermore, eNutri was demonstrated to improve short-term diet quality and increase engagement in healthy eating behaviors in UK adults, as compared with population-based healthy eating guidelines. This work represents an important landmark in the field of automatically delivered web-based personalized dietary interventions. Trial Registration ClinicalTrials.gov NCT03250858; https://clinicaltrials.gov/ct2/show/NCT03250858
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Affiliation(s)
- Rodrigo Zenun Franco
- Biomedical Engineering, School of Biological Sciences, University of Reading, Reading, United Kingdom
| | - Rosalind Fallaize
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom.,School of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom
| | - Michelle Weech
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom
| | - Faustina Hwang
- Biomedical Engineering, School of Biological Sciences, University of Reading, Reading, United Kingdom
| | - Julie A Lovegrove
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom
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14
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Richardson KM, Saleh AA, Jospe MR, Liao Y, Schembre SM. Using Biological Feedback to Promote Health Behavior Change in Adults: Protocol for a Scoping Review. JMIR Res Protoc 2022; 11:e32579. [PMID: 35040792 PMCID: PMC8808341 DOI: 10.2196/32579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 11/19/2021] [Accepted: 11/30/2021] [Indexed: 11/26/2022] Open
Abstract
Background Many health conditions can be prevented, managed, or improved through behavioral interventions. As a component of health behavior change interventions, biological feedback is of particular interest given recent advances in wearable biosensing technology, digital health apps, and personalized health and wellness. Nevertheless, there is a paucity of literature to guide the design and implementation of interventions that incorporate biological feedback to motivate health behavior change. Objective The goal of this scoping review is to deeply explore the use of biological feedback as a component of health behavior change interventions that target adults. The objectives of the review include (1) mapping the domains of research that incorporate biological feedback and (2) describing the operational characteristics of using biological feedback in the context of health behavior change. Methods A comprehensive list of search terms was developed to capture studies from a wide range of domains. The studies to be included are randomized controlled trials published as primary research articles, theses, or dissertations targeting adults 18 years and older, who use biological feedback to change a health-related behavior. The following electronic databases were searched: Ovid MEDLINE, Embase, Cochrane Central Register of Controlled Trials, EBSCOhost, PsycINFO, and ProQuest Dissertations & Theses Global. The screening and data extraction process will be guided by the Joanna Briggs Institute Manual for Evidence Synthesis and conducted by trained reviewers. Results Database searches were completed in June 2021. A total of 50,459 unique records were returned after the removal of 48,634 duplicate records. The scoping review is planned for completion in 2022. Conclusions To our knowledge, this will be the first scoping review to map the literature that uses biological feedback as a component of health behavior change interventions targeting adults. The findings will be used to develop a framework to guide the design and implementation of future health behavior change interventions that incorporate biological feedback. Trial Registration OSF Registries OSF.IO/YP5WA; https://osf.io/yp5wa International Registered Report Identifier (IRRID) DERR1-10.2196/32579
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Affiliation(s)
- Kelli M Richardson
- Department of Nutritional Sciences, College of Agriculture and Life Sciences, University of Arizona, Tucson, AZ, United States
| | - Ahlam A Saleh
- Arizona Health Sciences Library, Tucson, AZ, United States
| | - Michelle R Jospe
- Department of Family and Community Medicine, College of Medicine, University of Arizona, Tucson, AZ, United States
| | - Yue Liao
- Department of Kinesiology, College of Nursing and Health Innovation, University of Texas at Arlington, Arlington, TX, United States
| | - Susan M Schembre
- Department of Family and Community Medicine, College of Medicine, University of Arizona, Tucson, AZ, United States
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15
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Pigsborg K, Magkos F. Metabotyping for Precision Nutrition and Weight Management: Hype or Hope? Curr Nutr Rep 2022; 11:117-123. [PMID: 35025088 DOI: 10.1007/s13668-021-00392-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/30/2021] [Indexed: 12/11/2022]
Abstract
PURPOSE OF REVIEW Precision nutrition requires a solid understanding of the factors that determine individual responses to dietary treatment. We review the current state of knowledge in identifying human metabotypes - based on circulating biomarkers - that can predict weight loss or other relevant physiological outcomes in response to diet treatment. RECENT FINDINGS Not many studies have been conducted in this area and the ones identified here are heterogeneous in design and methodology, and therefore difficult to synthesize and draw conclusions. The basis of the creation of metabotypes varies widely, from using thresholds for a single metabolite to using complex algorithms to generate multi-component constructs that include metabolite and genetic information. Furthermore, available studies are a mix of hypothesis-driven and hypothesis-generating studies, and most of them lack experimental testing in human trials. Although this field of research is still in its infancy, precision-based dietary intervention strategies focusing on the metabotype group level hold promise for designing more effective dietary treatments for obesity.
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Affiliation(s)
- Kristina Pigsborg
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg, Denmark.
| | - Faidon Magkos
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg, Denmark
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Higuera-Gomez A, Ribot-Rodriguez R, San-Cristobal R, Martín-Hernández R, Mico V, Espinosa-Salinas I, Ramirez de Molina A, Martinez JA. HRQoL and nutritional well-being dissimilarities between two different online collection methods: Value for digital health implementation. Digit Health 2022; 8:20552076221138316. [DOI: 10.1177/20552076221138316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 10/21/2022] [Indexed: 11/24/2022] Open
Abstract
Background Online health data collection has gained a reputation over the last years to record and process information about health issues for implementing digital health. Objective The research aim was to appraise two online methods (open and rewarded) to collect information about HRQoL and nutritional well-being and to compare the results between both surveyed populations. Methods This cross-sectional study is framed on the NUTRiMDEA project. Online data through two different web-based methods (open survey and rewarded survey) were retrieved to assemble data related to sociodemographic, lifestyle (diet, physical activity and sleep patterns) and general health aspects, as well as HRQoL by an evidence-based form such as the SF-12 questionnaire, the IPAQ survey, and MEDAS-14, participants were adults (>18 years old). Results Overall, 17,332 participants responded to the open survey (OS, n = 11,883) or the rewarded survey (RS, n = 5449). About 65.1% of the participants were female, while the mean age was in the range of 40–70 years. There were significant differences ( p < 0.05) between surveyed populations in sociodemographic, lifestyle (diet and physical activity), health and HRQoL data. Conclusions This investigation implemented an evidence-based online questionnaire that collected demographic, lifestyle factors, phenotypic and health-related aspects as well as compared differential outcomes in HRQoL and nutritional/lifestyle well-being depending on the online mode data collection. Findings demonstrated dissimilarities in most aspects of health, HRQoL, dietary intake and physical activity records between both populations. Overall, OS sample was characterized as a healthier population with superior lifestyle habits than RS participants.
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Affiliation(s)
- Andrea Higuera-Gomez
- Precision Nutrition and Cardiometabolic Health Program, Research Institute on Food and Health Sciences IMDEA Food, UAM + CSIC, Madrid, Spain
| | - Rosa Ribot-Rodriguez
- Precision Nutrition and Cardiometabolic Health Program, Research Institute on Food and Health Sciences IMDEA Food, UAM + CSIC, Madrid, Spain
| | - Rodrigo San-Cristobal
- Precision Nutrition and Cardiometabolic Health Program, Research Institute on Food and Health Sciences IMDEA Food, UAM + CSIC, Madrid, Spain
| | - Roberto Martín-Hernández
- Bioinformatics and Biostatistics Unit, Madrid Institute for Advanced Studies (IMDEA) Food, CEI UAM + CSIC, Madrid, Spain
| | - Victor Mico
- Precision Nutrition and Cardiometabolic Health Program, Research Institute on Food and Health Sciences IMDEA Food, UAM + CSIC, Madrid, Spain
| | - Isabel Espinosa-Salinas
- Nutritional Genomics and Health Unit, Research Institute on Food and Health Sciences IMDEA Food, UAM + CSIC, Madrid, Spain
| | - Ana Ramirez de Molina
- Molecular Oncology Group, Research Institute on Food and Health Sciences IMDEA Food, UAM + CSIC, Madrid, Spain
| | - J Alfredo Martinez
- Precision Nutrition and Cardiometabolic Health Program, Research Institute on Food and Health Sciences IMDEA Food, UAM + CSIC, Madrid, Spain
- CIBERobn Physiopathology of Obesity and Nutrition, Institute of Health Carlos III (ISCIII), Madrid, Spain
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17
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King A, Saifi S, Smith J, Pilic L, Graham CAM, Da Silva Anastacio V, Glaister M, Mavrommatis Y. Does personalised nutrition advice based on apolipoprotein E and methylenetetrahydrofolate reductase genotype affect dietary behaviour? Nutr Health 2021; 28:467-476. [PMID: 34817242 PMCID: PMC9379385 DOI: 10.1177/02601060211032882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background: Dietary intake is linked to numerous modifiable risk factors of
cardiovascular disease. Current dietary recommendations in the UK to reduce the risk of
cardiovascular disease are not being met. A genotype-based personalised approach to
dietary recommendations may motivate individuals to make positive changes in their dietary
behaviour. Aim: To determine the effect of a personalised nutrition
intervention, based on apolipoprotein E (ApoE, rs7412; rs429358) and
methylenetetrahydrofolate reductase (MTHFR, rs1801133) genotype, on
reported dietary intake of saturated fat and folate in participants informed of a risk
genotype compared to those informed of non-risk genotype. Methods: Baseline
data (n = 99) were collected to determine genotype (non-risk vs risk),
dietary intake and cardiovascular risk (Q-Risk®2 cardiovascular risk calculator).
Participants were provided with personalised nutrition advice via email based on their
ApoE and MTHFR genotype and reported intake of folate
and saturated fat. After 10 days, dietary intake data were reported for a second time.
Results: Personalised nutrition advice led to favourable dietary changes,
irrespective of genotype, in participants who were not meeting dietary recommendations at
baseline for saturated fat (p < 0.001) and folate
(p = 0.002). Only participants who were informed of a risk
ApoE genotype met saturated fat recommendations following personalised
nutrition advice. Conclusion: Incorporation of genotype-based personalised
nutrition advice in a diet behaviour intervention may elicit favourable changes in dietary
behaviour in participants informed of a risk genotype. Participants informed of a non-risk
genotype also respond to personalised nutrition advice favourably but to a lesser
extent.
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Affiliation(s)
- Alexandra King
- Faculty of Sport, Allied Health and Performance Science, 62693St Mary's University Twickenham, UK
| | - Shaghayegh Saifi
- Faculty of Sport, Allied Health and Performance Science, 62693St Mary's University Twickenham, UK
| | - Jenna Smith
- Faculty of Sport, Allied Health and Performance Science, 62693St Mary's University Twickenham, UK
| | - Leta Pilic
- Faculty of Sport, Allied Health and Performance Science, 62693St Mary's University Twickenham, UK
| | - Catherine A-M Graham
- Faculty of Health and Life Sciences, Department of Sport, Health and Social Work, Oxford Brookes Centre for Nutrition and Health, 98464Oxford Brookes University, UK
| | | | - Mark Glaister
- Faculty of Sport, Allied Health and Performance Science, 62693St Mary's University Twickenham, UK
| | - Yiannis Mavrommatis
- Faculty of Sport, Allied Health and Performance Science, 62693St Mary's University Twickenham, UK
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18
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Web-Based Personalized Nutrition System for Delivering Dietary Feedback Based on Behavior Change Techniques: Development and Pilot Study among Dietitians. Nutrients 2021; 13:nu13103391. [PMID: 34684392 PMCID: PMC8538565 DOI: 10.3390/nu13103391] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 09/22/2021] [Accepted: 09/24/2021] [Indexed: 01/25/2023] Open
Abstract
Given the complex and varied nature of individual characteristics influencing dietary behaviors, personalized dietary advice may be more effective than generalized “one-size-fits-all” advice. In this paper, we describe a web-based personalized nutrition system for improving the quality of overall diet in the general adult population. The development process included identification of appropriate behavior change techniques, modification of dietary assessment method (Meal-based Diet History Questionnaire; MDHQ), selection of dietary components, and a personalized dietary feedback tool. A pilot study was conducted online among 255 dietitians. Each completed the MDHQ, received his/her own dietary feedback report, and evaluated the relevance of the report based on 12 questions using a 5-point Likert scale from “totally disagree” (score 1) to “totally agree” (score 5). The mean value of overall acceptability score of dietary feedback report was 4.2. The acceptability score was, on average, higher in plausible energy reporters (compared with implausible energy reporters), participants who printed out the report (compared with those who did not), and those spending ≥20 min to read the report (compared with those spending <20 min). This is the first attempt to develop a web-based personalized nutrition system in Japan, where dietitians were broadly supportive of the dietary feedback report.
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19
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El Mesmoudi N, Al Dhaheri AS, Ali HI. Development of a nutrient dataset based on a standardized approach for a nutrition survey conducted in the United Arab Emirates. J Food Compost Anal 2021. [DOI: 10.1016/j.jfca.2021.103899] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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20
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Navas-Carretero S, San-Cristobal R, Alvarez-Alvarez I, Celis-Morales C, Livingstone KM, O'Donovan CB, Mavrogianni C, Lambrinou CP, Manios Y, Traczyck I, Drevon CA, Marsaux CFM, Saris WHM, Fallaize R, Macready AL, Lovegrove JA, Gundersen TE, Walsh M, Brennan L, Gibney ER, Gibney M, Mathers JC, Martinez JA. Interactions of Carbohydrate Intake and Physical Activity with Regulatory Genes Affecting Glycaemia: A Food4Me Study Analysis. Lifestyle Genom 2021; 14:63-72. [PMID: 34186541 DOI: 10.1159/000515068] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 02/04/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Carbohydrate intake and physical activity are related to glucose homeostasis, both being influenced by individual genetic makeup. However, the interactions between these 2 factors, as affected by genetics, on glycaemia have been scarcely reported. OBJECTIVE We focused on analysing the interplay between carbohydrate intake and physical activity levels on blood glucose, taking into account a genetic risk score (GRS), based on SNPs related to glucose/energy metabolism. METHODS A total of 1,271 individuals from the Food4Me cohort, who completed the nutritional intervention, were evaluated at baseline. We collected dietary information by using an online-validated food frequency questionnaire, a questionnaire on physical activity, blood biochemistry by analysis of dried blood spots, and by analysis of selected SNPs. Fifteen out of 31 SNPs, with recognized participation in carbohydrate/energy metabolism, were included in the component analyses. The GRS included risk alleles involved in the control of glycaemia or energy-yielding processes. RESULTS Data concerning anthropometric, clinical, metabolic, dietary intake, physical activity, and genetics related to blood glucose levels showed expected trends in European individuals of comparable sex and age, being categorized by lifestyle, BMI, and energy/carbohydrate intakes, in this Food4Me population. Blood glucose was inversely associated with physical activity level (β = -0.041, p = 0.013) and positively correlated with the GRS values (β = 0.015, p = 0.047). Interestingly, an interaction affecting glycaemia, concerning physical activity level with carbohydrate intake, was found (β = -0.060, p = 0.033), which also significantly depended on the genetic background (GRS). CONCLUSIONS The relationships of carbohydrate intake and physical activity are important in understanding glucose homeostasis, where a role for the genetic background should be ascribed.
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Affiliation(s)
- Santiago Navas-Carretero
- Centre for Nutrition Research, School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain.,CIBEROBN, Instituto de Salud Carlos III, Madrid, Spain.,IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Rodrigo San-Cristobal
- Centre for Nutrition Research, School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain
| | - Ismael Alvarez-Alvarez
- Centre for Nutrition Research, School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain
| | - Carlos Celis-Morales
- Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.,BHF Glasgow cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Katherine M Livingstone
- Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.,Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Claire B O'Donovan
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin, Ireland
| | | | | | - Yannis Manios
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | - Iwona Traczyck
- Department of Human Nutrition, Faculty of Health Sciences, Medical University of Warsaw, Warsaw, Poland
| | - Christian A Drevon
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Cyril F M Marsaux
- Department of Human Biology, NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Wim H M Saris
- Department of Human Biology, NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Rosalind Fallaize
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom.,Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom
| | - Anna L Macready
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom
| | - Julie A Lovegrove
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom
| | | | - Marianne Walsh
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin, Ireland
| | - Lorraine Brennan
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin, Ireland
| | - Eileen R Gibney
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin, Ireland
| | - Mike Gibney
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin, Ireland
| | - John C Mathers
- Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - J Alfredo Martinez
- Centre for Nutrition Research, School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain.,CIBEROBN, Instituto de Salud Carlos III, Madrid, Spain.,IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
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van der Haar S, Hoevenaars FPM, van den Brink WJ, van den Broek T, Timmer M, Boorsma A, Doets EL. Exploring the Potential of Personalized Dietary Advice for Health Improvement in Motivated Individuals With Premetabolic Syndrome: Pretest-Posttest Study. JMIR Form Res 2021; 5:e25043. [PMID: 34185002 PMCID: PMC8277310 DOI: 10.2196/25043] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 04/11/2021] [Accepted: 05/19/2021] [Indexed: 12/12/2022] Open
Abstract
Background Dietary quality plays an essential role in the prevention and management of metabolic syndrome (MetS). Objective The aim of this pilot study is to organize personalized dietary advice in a real-life setting and to explore the effects on dietary intake, metabolic health, and perceived health. Methods We followed a one-group pretest-posttest design and included 37 individuals at risk of MetS, who indicated motivation to change dietary behavior. For a period of 16 weeks, participants received personalized advice (t=0 and t=8) and feedback (t=0, t=4, t=8, t=12 and t=16) on dietary quality and metabolic health (ie, waist circumference, BMI, blood pressure, lipid profile, fasting glucose levels, and C-peptide). Personalized advice was generated in a two-stage process. In stage 1, an automated algorithm generated advice per food group, integrating data on individual dietary quality (Dutch Healthy Diet Index; total score 8-80) and metabolic health parameters. Stage 2 included a telephone consultation with a trained dietitian to define a personal dietary behavior change strategy and to discuss individual preferences. Dietary quality and metabolic health markers were assessed at t=0, t=8, and t=16. Self-perceived health was evaluated on 7-point Likert scales at t=0 and t=16. Results At the end of the study period, dietary quality was significantly improved compared with the baseline (Dutch Healthy Diet Index +4.3; P<.001). In addition, lipid profile (triglycerides, P=.02; total cholesterol, P=.01; high-density lipoprotein, P<.001; and low-density lipoprotein, P<.001), BMI (P<.001), waist circumference (P=.01), and C-peptide (P=.01) were all significantly improved, whereas plasma glucose increased by 0.23 nmol/L (P=.04). In line with these results, self-perceived health scores were higher at t=16 weeks than at baseline (+0.67; P=.005). Conclusions This exploratory study showed that personalized dietary advice resulted in positive effects on dietary behavior, metabolic health, and self-perceived health in motivated pre-MetS adults. The study was performed in a do-it-yourself setting, highlighting the potential of at-home health improvement through dietary changes. Trial Registration ClinicalTrials.gov NCT04595669; https://clinicaltrials.gov/ct2/show/NCT04595669
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Affiliation(s)
- Sandra van der Haar
- Wageningen Food & Biobased Research, Wageningen University & Research, Wageningen, Netherlands
| | - Femke P M Hoevenaars
- Microbiology & Systems Biology Department, TNO, Netherlands Organization for Applied Scientific Research, Zeist, Netherlands
| | - Willem J van den Brink
- Microbiology & Systems Biology Department, TNO, Netherlands Organization for Applied Scientific Research, Zeist, Netherlands
| | - Tim van den Broek
- Microbiology & Systems Biology Department, TNO, Netherlands Organization for Applied Scientific Research, Zeist, Netherlands
| | - Mariëlle Timmer
- Wageningen Food & Biobased Research, Wageningen University & Research, Wageningen, Netherlands
| | - André Boorsma
- Microbiology & Systems Biology Department, TNO, Netherlands Organization for Applied Scientific Research, Zeist, Netherlands
| | - Esmée L Doets
- Wageningen Food & Biobased Research, Wageningen University & Research, Wageningen, Netherlands
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22
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Livingstone KM, Celis-Morales C, Navas-Carretero S, San-Cristobal R, Forster H, Woolhead C, O'Donovan CB, Moschonis G, Manios Y, Traczyk I, Gundersen TE, Drevon CA, Marsaux CFM, Fallaize R, Macready AL, Daniel H, Saris WHM, Lovegrove JA, Gibney M, Gibney ER, Walsh M, Brennan L, Martinez JA, Mathers JC. Personalised nutrition advice reduces intake of discretionary foods and beverages: findings from the Food4Me randomised controlled trial. Int J Behav Nutr Phys Act 2021; 18:70. [PMID: 34092234 PMCID: PMC8183081 DOI: 10.1186/s12966-021-01136-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 05/07/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The effect of personalised nutrition advice on discretionary foods intake is unknown. To date, two national classifications for discretionary foods have been derived. This study examined changes in intake of discretionary foods and beverages following a personalised nutrition intervention using these two classifications. METHODS Participants were recruited into a 6-month RCT across seven European countries (Food4Me) and were randomised to receive generalised dietary advice (control) or one of three levels of personalised nutrition advice (based on diet [L1], phenotype [L2] and genotype [L3]). Dietary intake was derived from an FFQ. An analysis of covariance was used to determine intervention effects at month 6 between personalised nutrition (overall and by levels) and control on i) percentage energy from discretionary items and ii) percentage contribution of total fat, SFA, total sugars and salt to discretionary intake, defined by Food Standards Scotland (FSS) and Australian Dietary Guidelines (ADG) classifications. RESULTS Of the 1607 adults at baseline, n = 1270 (57% female) completed the intervention. Percentage sugars from FSS discretionary items was lower in personalised nutrition vs control (19.0 ± 0.37 vs 21.1 ± 0.65; P = 0.005). Percentage energy (31.2 ± 0.59 vs 32.7 ± 0.59; P = 0.031), percentage total fat (31.5 ± 0.37 vs 33.3 ± 0.65; P = 0.021), SFA (36.0 ± 0.43 vs 37.8 ± 0.75; P = 0.034) and sugars (31.7 ± 0.44 vs 34.7 ± 0.78; P < 0.001) from ADG discretionary items were lower in personalised nutrition vs control. There were greater reductions in ADG percentage energy and percentage total fat, SFA and salt for those randomised to L3 vs L2. CONCLUSIONS Compared with generalised dietary advice, personalised nutrition advice achieved greater reductions in discretionary foods intake when the classification included all foods high in fat, added sugars and salt. Future personalised nutrition approaches may be used to target intake of discretionary foods. TRIAL REGISTRATION Clinicaltrials.gov NCT01530139 . Registered 9 February 2012.
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Affiliation(s)
- Katherine M Livingstone
- Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, William Leech Building, Newcastle upon Tyne, NE2 4HH, UK
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, 3220, VIC, Australia
| | - Carlos Celis-Morales
- Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, William Leech Building, Newcastle upon Tyne, NE2 4HH, UK
- BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
- Research Unit on Education, Physical Activity and Health (GEEAFyS), Universidad Católica del Maule, Talca, Chile
- Centre of Research in Exercise Physiology (CIFE), Universidad Mayor, Santiago, Chile
| | - Santiago Navas-Carretero
- Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain
- CIBERobn, Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Rodrigo San-Cristobal
- Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain
- CIBERobn, Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies), CEI UAM + CSIC, Madrid, Spain
| | - Hannah Forster
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Republic of Ireland
| | - Clara Woolhead
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Republic of Ireland
| | - Clare B O'Donovan
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Republic of Ireland
| | - George Moschonis
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
- Department of Dietetics, Nutrition and Sport, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, 3086, VIC, Australia
| | - Yannis Manios
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | - Iwona Traczyk
- Department of Human Nutrition, Faculty of Health Sciences, Medical University of Warsaw, Warsaw, Poland
| | | | - Christian A Drevon
- Department of Nutrition, Faculty of Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Cyril F M Marsaux
- Department of Human Biology, NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Rosalind Fallaize
- Department of Food and Nutritional Sciences, Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, UK
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield, UK
| | - Anna L Macready
- Department of Food and Nutritional Sciences, Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, UK
| | - Hannelore Daniel
- Molecular Nutrition Unit, Department Food and Nutrition, Technische Universität München, München, Germany
| | - Wim H M Saris
- Department of Human Biology, NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Julie A Lovegrove
- Department of Food and Nutritional Sciences, Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, UK
| | - Mike Gibney
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Republic of Ireland
| | - Eileen R Gibney
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Republic of Ireland
| | - Marianne Walsh
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Republic of Ireland
| | - Lorraine Brennan
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Republic of Ireland
| | - J Alfredo Martinez
- Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain
- CIBERobn, Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies), CEI UAM + CSIC, Madrid, Spain
| | - John C Mathers
- Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, William Leech Building, Newcastle upon Tyne, NE2 4HH, UK.
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Sinha R, Kachru D, Ricchetti RR, Singh-Rambiritch S, Muthukumar KM, Singaravel V, Irudayanathan C, Reddy-Sinha C, Junaid I, Sharma G, Francis-Lyon PA. Leveraging Genomic Associations in Precision Digital Care for Weight Loss: Cohort Study. J Med Internet Res 2021; 23:e25401. [PMID: 33849843 PMCID: PMC8173391 DOI: 10.2196/25401] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 12/18/2020] [Accepted: 04/11/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND The COVID-19 pandemic has highlighted the urgency of addressing an epidemic of obesity and associated inflammatory illnesses. Previous studies have demonstrated that interactions between single-nucleotide polymorphisms (SNPs) and lifestyle interventions such as food and exercise may vary metabolic outcomes, contributing to obesity. However, there is a paucity of research relating outcomes from digital therapeutics to the inclusion of genetic data in care interventions. OBJECTIVE This study aims to describe and model the weight loss of participants enrolled in a precision digital weight loss program informed by the machine learning analysis of their data, including genomic data. It was hypothesized that weight loss models would exhibit a better fit when incorporating genomic data versus demographic and engagement variables alone. METHODS A cohort of 393 participants enrolled in Digbi Health's personalized digital care program for 120 days was analyzed retrospectively. The care protocol used participant data to inform precision coaching by mobile app and personal coach. Linear regression models were fit of weight loss (pounds lost and percentage lost) as a function of demographic and behavioral engagement variables. Genomic-enhanced models were built by adding 197 SNPs from participant genomic data as predictors and refitted using Lasso regression on SNPs for variable selection. Success or failure logistic regression models were also fit with and without genomic data. RESULTS Overall, 72.0% (n=283) of the 393 participants in this cohort lost weight, whereas 17.3% (n=68) maintained stable weight. A total of 142 participants lost 5% bodyweight within 120 days. Models described the impact of demographic and clinical factors, behavioral engagement, and genomic risk on weight loss. Incorporating genomic predictors improved the mean squared error of weight loss models (pounds lost and percent) from 70 to 60 and 16 to 13, respectively. The logistic model improved the pseudo R2 value from 0.193 to 0.285. Gender, engagement, and specific SNPs were significantly associated with weight loss. SNPs within genes involved in metabolic pathways processing food and regulating fat storage were associated with weight loss in this cohort: rs17300539_G (insulin resistance and monounsaturated fat metabolism), rs2016520_C (BMI, waist circumference, and cholesterol metabolism), and rs4074995_A (calcium-potassium transport and serum calcium levels). The models described greater average weight loss for participants with more risk alleles. Notably, coaching for dietary modification was personalized to these genetic risks. CONCLUSIONS Including genomic information when modeling outcomes of a digital precision weight loss program greatly enhanced the model accuracy. Interpretable weight loss models indicated the efficacy of coaching informed by participants' genomic risk, accompanied by active engagement of participants in their own success. Although large-scale validation is needed, our study preliminarily supports precision dietary interventions for weight loss using genetic risk, with digitally delivered recommendations alongside health coaching to improve intervention efficacy.
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Affiliation(s)
| | - Dashyanng Kachru
- Digbi Health, Los Altos, CA, United States
- Health Informatics, University of San Francisco, San Francisco, CA, United States
| | | | | | | | | | | | | | | | | | - Patricia Alice Francis-Lyon
- Digbi Health, Los Altos, CA, United States
- Health Informatics, University of San Francisco, San Francisco, CA, United States
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Horne JR, Nielsen DE, Madill J, Robitaille J, Vohl MC, Mutch DM. Guiding Global Best Practice in Personalized Nutrition Based on Genetics: The Development of a Nutrigenomics Care Map. J Acad Nutr Diet 2021; 122:259-269. [PMID: 33744236 DOI: 10.1016/j.jand.2021.02.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 01/29/2021] [Accepted: 02/05/2021] [Indexed: 12/13/2022]
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Galekop MMJ, Uyl-de Groot CA, Ken Redekop W. A Systematic Review of Cost-Effectiveness Studies of Interventions With a Personalized Nutrition Component in Adults. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2021; 24:325-335. [PMID: 33641765 DOI: 10.1016/j.jval.2020.12.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 12/18/2020] [Accepted: 12/19/2020] [Indexed: 06/12/2023]
Abstract
OBJECTIVES Important links between dietary patterns and diseases have been widely applied to establish nutrition interventions. However, knowledge about between-person heterogeneity regarding the benefits of nutrition intervention can be used to personalize the intervention and thereby improve health outcomes and efficiency. We performed a systematic review of cost-effectiveness analyses (CEAs) of interventions with a personalized nutrition (PN) component to assess their methodology and findings. METHODS A systematic search (March 2019) was performed in 5 databases: EMBASE, Medline Ovid, Web of Science, Cochrane CENTRAL, and Google Scholar. CEAs involving interventions in adults with a PN component were included; CEAs focusing on clinical nutrition or undernutrition were excluded. The CHEERS checklist was used to assess the quality of CEAs. RESULTS We identified 49 eligible studies among 1792 unique records. Substantial variation in methodology was found. Most studies (91%) focused only on psychological concepts of PN such as behavior and preferences. Thirty-four CEAs were trial-based, 13 were modeling studies, and 4 studies were both trial- and model-based. Thirty-two studies used quality-adjusted life year as an outcome measure. Different time horizons, comparators, and modeling assumptions were applied, leading to differences in costs/quality-adjusted life years. Twenty-eight CEAs (49%) concluded that the intervention was cost-effective, and 75% of the incremental cost-utility ratios were cost-effective given a willingness-to-pay threshold of $50 000 per quality-adjusted life year. CONCLUSIONS Interventions with PN components are often evaluated using various types of models. However, most PN interventions have been considered cost-effective. More studies should examine the cost-effectiveness of PN interventions that combine psychological and biological concepts of personalization.
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Affiliation(s)
- Milanne M J Galekop
- Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
| | - Carin A Uyl-de Groot
- Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - W Ken Redekop
- Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands
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Rollo ME, Haslam RL, Collins CE. Impact on Dietary Intake of Two Levels of Technology-Assisted Personalized Nutrition: A Randomized Trial. Nutrients 2020; 12:E3334. [PMID: 33138210 PMCID: PMC7693517 DOI: 10.3390/nu12113334] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 10/20/2020] [Accepted: 10/22/2020] [Indexed: 02/05/2023] Open
Abstract
Advances in web and mobile technologies have created efficiencies relating to collection, analysis and interpretation of dietary intake data. This study compared the impact of two levels of nutrition support: (1) low personalization, comprising a web-based personalized nutrition feedback report generated using the Australian Eating Survey® (AES) food frequency questionnaire data; and (2) high personalization, involving structured video calls with a dietitian using the AES report plus dietary self-monitoring with text message feedback. Intake was measured at baseline and 12 weeks using the AES and diet quality using the Australian Recommended Food Score (ARFS). Fifty participants (aged 39.2 ± 12.5 years; Body Mass Index 26.4 ± 6.0 kg/m2; 86.0% female) completed baseline measures. Significant (p < 0.05) between-group differences in dietary changes favored the high personalization group for total ARFS (5.6 points (95% CI 1.3 to 10.0)) and ARFS sub-scales of meat (0.9 points (0.4 to 1.6)), vegetarian alternatives (0.8 points (0.1 to 1.4)), and dairy (1.3 points (0.3 to 2.3)). Additional significant changes in favor of the high personalization group occurred for proportion of energy intake derived from energy-dense, nutrient-poor foods (-7.2% (-13.8% to -0.5%)) and takeaway foods sub-group (-3.4% (-6.5% to 0.3%). Significant within-group changes were observed for 12 dietary variables in the high personalization group vs one variable for low personalization. A higher level of personalized support combining the AES report with one-on-one dietitian video calls and dietary self-monitoring resulted in greater dietary change compared to the AES report alone. These findings suggest nutrition-related web and mobile technologies in combination with personalized dietitian delivered advice have a greater impact compared to when used alone.
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Affiliation(s)
- Megan E. Rollo
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, Callaghan, NSW 2308, Australia;
- School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Callaghan, NSW 2308, Australia
| | - Rebecca L. Haslam
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, Callaghan, NSW 2308, Australia;
- School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Callaghan, NSW 2308, Australia
| | - Clare E. Collins
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, Callaghan, NSW 2308, Australia;
- School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Callaghan, NSW 2308, Australia
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Abstract
Dietary proteins have been used for years to treat obesity. Body weight loss is beneficial when it concerns fat mass, but loss of fat free mass - especially muscle might be detrimental. This occurs because protein breakdown predominates over synthesis, thus administering anabolic dietary compounds like proteins might counter fat free mass loss while allowing for fat mass loss.Indeed, varying the quantity of proteins will decrease muscle anabolic response and increase hyperphagia in rodents fed a low protein diet; but it will favor lean mass maintenance and promote satiety, in certain age groups of humans fed a high protein diet. Beyond protein quantity, protein source is an important metabolic regulator: whey protein and plant based diets exercize favorable effects on the risk of developing obesity, body composition, metabolic parameters or fat free mass preservation of obese patients. Specific amino-acids like branched chain amino acids (BCAA), methionine, tryptophan and its metabolites, and glutamate can also positively influence parameters and complications of obesity especially in rodent models, with less studies translating this in humans.Tuning the quality and quantity of proteins or even specific amino-acids can thus be seen as a potential therapeutic intervention on the body composition, metabolic syndrome parameters and appetite regulation of obese patients. Since these effects vary across age groups and much of the data comes from murine models, long-term prospective studies modulating proteins and amino acids in the human diet are needed.
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Affiliation(s)
- Mathilde Simonson
- UNH, Unité de Nutrition Humaine, CHU Clermont-Ferrand, Service de Nutrition Clinique, CRNH Auvergne, INRA, Université Clermont Auvergne, 63000, Clermont-Ferrand, France
| | - Yves Boirie
- UNH, Unité de Nutrition Humaine, CHU Clermont-Ferrand, Service de Nutrition Clinique, CRNH Auvergne, INRA, Université Clermont Auvergne, 63000, Clermont-Ferrand, France.
| | - Christelle Guillet
- UNH, Unité de Nutrition Humaine, CHU Clermont-Ferrand, Service de Nutrition Clinique, CRNH Auvergne, INRA, Université Clermont Auvergne, 63000, Clermont-Ferrand, France
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Ellis A, Rozga M, Braakhuis A, Monnard CR, Robinson K, Sinley R, Wanner A, Vargas AJ. Effect of Incorporating Genetic Testing Results into Nutrition Counseling and Care on Health Outcomes: An Evidence Analysis Center Systematic Review-Part II. J Acad Nutr Diet 2020; 121:582-605.e17. [PMID: 32624396 DOI: 10.1016/j.jand.2020.02.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Indexed: 02/06/2023]
Abstract
In recent years, literature examining implementation of nutritional genomics into clinical practice has increased, including publication of several randomized controlled trials (RCTs). This systematic review addressed the following question: In children and adults, what is the effect of incorporating results of genetic testing into nutrition counseling and care compared with an alternative intervention or control group, on nutrition-related health outcomes? A literature search of MEDLINE, Embase, PsycINFO, CINAHL, and other databases was conducted for peer-reviewed RCTs published from January 2008 until December 2018. An international workgroup consisting of registered dietitian nutritionists, systematic review methodologists, and evidence analysts screened and reviewed articles, summarized data, conducted meta-analyses, and graded conclusion statements. The second in a two-part series, this article specifically summarizes evidence from RCTs that examined health outcomes (ie, quality of life, disease incidence and prevention of disease progression, or mortality), intermediate health outcomes (ie, anthropometric measures, body composition, or relevant laboratory measures routinely collected in practice), and adverse events as reported by study authors. Analysis of 11 articles from nine RCTs resulted in 16 graded conclusion statements. Among participants with nonalcoholic fatty liver disease, a diet tailored to genotype resulted in a greater reduction of percent body fat compared with a customary diet for nonalcoholic fatty liver disease. However, meta-analyses for the outcomes of total cholesterol, low-density lipoprotein cholesterol, body mass index, and weight yielded null results. Heterogeneity between studies and low certainty of evidence precluded development of strong conclusions about the incorporation of genetic information into nutrition practice. Although there are still relatively few well-designed RCTs to inform integration of genetic information into the Nutrition Care Process, the field of nutritional genomics is evolving rapidly, and gaps in the literature identified by this systematic review can inform future studies.
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Barrea L, Annunziata G, Bordoni L, Muscogiuri G, Colao A, Savastano S. Nutrigenetics-personalized nutrition in obesity and cardiovascular diseases. INTERNATIONAL JOURNAL OF OBESITY SUPPLEMENTS 2020; 10:1-13. [PMID: 32714508 PMCID: PMC7371677 DOI: 10.1038/s41367-020-0014-4] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Epidemiological data support the view that both obesity and cardiovascular diseases (CVD) account for a high proportion of total morbidity and mortality in adults throughout the world. Obesity and CVD have complex interplay mechanisms of genetic and environmental factors, including diet. Nutrition is an environmental factor and it has a predominant and recognizable role in health management and in the prevention of obesity and obesity-related diseases, including CVD. However, there is a marked variation in CVD in patients with obesity and the same dietary pattern. The different genetic polymorphisms could explain this variation, which leads to the emergence of the concept of nutrigenetics. Nutritional genomics or nutrigenetics is the science that studies and characterizes gene variants associated with differential response to specific nutrients and relating this variation to various diseases, such as CVD related to obesity. Thus, the personalized nutrition recommendations, based on the knowledge of an individual's genetic background, might improve the outcomes of a specific dietary intervention and represent a new dietary approach to improve health, reducing obesity and CVD. Given these premises, it is intuitive to suppose that the elucidation of diet and gene interactions could support more specific and effective dietary interventions in both obesity and CVD prevention through personalized nutrition based on nutrigenetics. This review aims to briefly summarize the role of the most important genes associated with obesity and CVD and to clarify the knowledge about the relation between nutrition and gene expression and the role of the main nutrition-related genes in obesity and CVD.
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Affiliation(s)
- Luigi Barrea
- Dipartimento di Medicina Clinica e Chirurgia, Unit of Endocrinology, Federico II University Medical School of Naples, Via Sergio Pansini 5, 80131 Naples, Italy
| | - Giuseppe Annunziata
- Department of Pharmacy, University of Naples “Federico II”, Via Domenico Montesano 49, 80131 Naples, Italy
| | - Laura Bordoni
- Unit of Molecular Biology, School of Pharmacy, University of Camerino, 62032 Camerino, Macerata Italy
| | - Giovanna Muscogiuri
- Dipartimento di Medicina Clinica e Chirurgia, Unit of Endocrinology, Federico II University Medical School of Naples, Via Sergio Pansini 5, 80131 Naples, Italy
| | - Annamaria Colao
- Dipartimento di Medicina Clinica e Chirurgia, Unit of Endocrinology, Federico II University Medical School of Naples, Via Sergio Pansini 5, 80131 Naples, Italy
| | - Silvia Savastano
- Dipartimento di Medicina Clinica e Chirurgia, Unit of Endocrinology, Federico II University Medical School of Naples, Via Sergio Pansini 5, 80131 Naples, Italy
| | - on behalf of Obesity Programs of nutrition, Education, Research and Assessment (OPERA) Group
- Dipartimento di Medicina Clinica e Chirurgia, Unit of Endocrinology, Federico II University Medical School of Naples, Via Sergio Pansini 5, 80131 Naples, Italy
- Department of Pharmacy, University of Naples “Federico II”, Via Domenico Montesano 49, 80131 Naples, Italy
- Unit of Molecular Biology, School of Pharmacy, University of Camerino, 62032 Camerino, Macerata Italy
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Characteristics of participants who benefit most from personalised nutrition: findings from the pan-European Food4Me randomised controlled trial. Br J Nutr 2020; 123:1396-1405. [PMID: 32234083 DOI: 10.1017/s0007114520000653] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Little is known about who would benefit from Internet-based personalised nutrition (PN) interventions. This study aimed to evaluate the characteristics of participants who achieved greatest improvements (i.e. benefit) in diet, adiposity and biomarkers following an Internet-based PN intervention. Adults (n 1607) from seven European countries were recruited into a 6-month, randomised controlled trial (Food4Me) and randomised to receive conventional dietary advice (control) or PN advice. Information on dietary intake, adiposity, physical activity (PA), blood biomarkers and participant characteristics was collected at baseline and month 6. Benefit from the intervention was defined as ≥5 % change in the primary outcome (Healthy Eating Index) and secondary outcomes (waist circumference and BMI, PA, sedentary time and plasma concentrations of cholesterol, carotenoids and omega-3 index) at month 6. For our primary outcome, benefit from the intervention was greater in older participants, women and participants with lower HEI scores at baseline. Benefit was greater for individuals reporting greater self-efficacy for 'sticking to healthful foods' and who 'felt weird if [they] didn't eat healthily'. Participants benefited more if they reported wanting to improve their health and well-being. The characteristics of individuals benefiting did not differ by other demographic, health-related, anthropometric or genotypic characteristics. Findings were similar for secondary outcomes. These findings have implications for the design of more effective future PN intervention studies and for tailored nutritional advice in public health and clinical settings.
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Horne J, Gilliland J, Madill J. Assessing the effectiveness of actionable nutrigenomics and lifestyle genomics interventions for weight management in clinical practice: A critical, scoping review with directions for future research. Nutr Health 2020; 26:167-173. [PMID: 32500817 DOI: 10.1177/0260106020928667] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND The use of nutrigenomics and lifestyle genomics in clinical practice has the potential to optimize weight-related outcomes for patients. AIM A scoping review was conducted to summarize and evaluate the current body of knowledge related to the effectiveness of providing DNA-based lifestyle advice on weight-related outcomes, with the aim of providing direction for future research. METHOD Primary studies were included if they were written in English, evaluated weight-related and/or body mass index and/or body composition outcomes, and provided participants with an actionable genetic-based lifestyle intervention; interventions that only provided information on genetic risk for diseases/conditions were excluded. Data was extracted from each article meeting inclusion criteria (N=3) and the studies were critically appraised for methodological limitations. RESULTS Research in this area is promising, but limited. Specific limitations relate to study designs, the nature of the recommendations provided to participants, small (underpowered) sample sizes, the use of self-reported weight/BMI data and lack of consideration of important confounding factors. CONCLUSIONS Therefore, the effectiveness of nutrigenomics and lifestyle genomics interventions for weight management in clinical practice cannot yet be conclusively determined. Recommendations for future research are detailed in the present manuscript.
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Affiliation(s)
- Justine Horne
- Health and Rehabilitation Sciences, The University of Western Ontario, London,.ON, Canada.,The East Elgin Family Health Team, Aylmer, ON, Canada.,Human Environments Analysis Laboratory, The University of Western Ontario, London, ON, Canada
| | - Jason Gilliland
- Human Environments Analysis Laboratory, The University of Western Ontario, London, ON, Canada.,Department of Geography, Western University, London, ON, Canada.,Human Environments Analysis Laboratory, Western University, London, ON, Canada.,School of Health Studies, Western University, London, ON, Canada.,Department of Paediatrics, Western University, London, ON, Canada.,Department of Epidemiology and Biostatistics, Western University, London, ON, Canada.,Children's Health Research Institute, London, ON, Canada.,Lawson Health Research Institute, London, ON, Canada
| | - Janet Madill
- Human Environments Analysis Laboratory, Western University, London, ON, Canada.,School of Food and Nutritional Sciences, Brescia University College at Western University, London, ON, Canada
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Ho FK, Gray SR, Welsh P, Petermann-Rocha F, Foster H, Waddell H, Anderson J, Lyall D, Sattar N, Gill JMR, Mathers JC, Pell JP, Celis-Morales C. Associations of fat and carbohydrate intake with cardiovascular disease and mortality: prospective cohort study of UK Biobank participants. BMJ 2020; 368:m688. [PMID: 32188587 PMCID: PMC7190059 DOI: 10.1136/bmj.m688] [Citation(s) in RCA: 66] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
OBJECTIVE To investigate the association of macronutrient intake with all cause mortality and cardiovascular disease (CVD), and the implications for dietary advice. DESIGN Prospective population based study. SETTING UK Biobank. PARTICIPANTS 195 658 of the 502 536 participants in UK Biobank completed at least one dietary questionnaire and were included in the analyses. Diet was assessed using Oxford WebQ, a web based 24 hour recall questionnaire, and nutrient intakes were estimated using standard methodology. Cox proportional models with penalised cubic splines were used to study non-linear associations. MAIN OUTCOME MEASURES All cause mortality and incidence of CVD. RESULTS 4780 (2.4%) participants died over a mean 10.6 (range 9.4-13.9) years of follow-up, and 948 (0.5%) and 9776 (5.0%) experienced fatal and non-fatal CVD events, respectively, over a mean 9.7 (range 8.5-13.0) years of follow-up. Non-linear associations were found for many macronutrients. Carbohydrate intake showed a non-linear association with mortality; no association at 20-50% of total energy intake but a positive association at 50-70% of energy intake (3.14 v 2.75 per 1000 person years, average hazard ratio 1.14, 95% confidence interval 1.03 to 1.28 (60-70% v 50% of energy)). A similar pattern was observed for sugar but not for starch or fibre. A higher intake of monounsaturated fat (2.94 v 3.50 per 1000 person years, average hazard ratio 0.58, 0.51 to 0.66 (20-25% v 5% of energy)) and lower intake of polyunsaturated fat (2.66 v 3.04 per 1000 person years, 0.78, 0.75 to 0.81 (5-7% v 12% of energy)) and saturated fat (2.66 v 3.59 per 1000 person years, 0.67, 0.62 to 0.73 (5-10% v 20% of energy)) were associated with a lower risk of mortality. A dietary risk matrix was developed to illustrate how dietary advice can be given based on current intake. CONCLUSION Many associations between macronutrient intake and health outcomes are non-linear. Thus dietary advice could be tailored to current intake. Dietary guidelines on macronutrients (eg, carbohydrate) should also take account of differential associations of its components (eg, sugar and starch).
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Affiliation(s)
- Frederick K Ho
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Stuart R Gray
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, Glasgow, UK
| | - Paul Welsh
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, Glasgow, UK
| | - Fanny Petermann-Rocha
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, Glasgow, UK
| | - Hamish Foster
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Heather Waddell
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, Glasgow, UK
| | - Jana Anderson
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Donald Lyall
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Naveed Sattar
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, Glasgow, UK
| | - Jason M R Gill
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, Glasgow, UK
| | - John C Mathers
- Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Jill P Pell
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Carlos Celis-Morales
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, Glasgow, UK
- Center for Exercise Physiology Research (CIFE), University Mayor, Santiago, Chile
- Research Group in Education, Physical Activity and Health (GEEAFyS), Universidad Católica del Maule, Talca, Chile
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Chatelan A, Bochud M, Frohlich KL. Precision nutrition: hype or hope for public health interventions to reduce obesity? Int J Epidemiol 2020; 48:332-342. [PMID: 30544190 PMCID: PMC6469305 DOI: 10.1093/ije/dyy274] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/17/2018] [Indexed: 12/27/2022] Open
Abstract
High-income countries are experiencing an obesity epidemic that follows a socioeconomic gradient, affecting groups of lower socioeconomic status disproportionately. Recent clinical findings have suggested new perspectives for the prevention and treatment of obesity, using personalized dietary approaches. Precision nutrition (PN), also called personalized nutrition, has been developed to deliver more preventive and practical dietary advice than ‘one-size-fits-all’ guidelines. With interventions becoming increasingly plausible at a large scale thanks to artificial intelligence and smartphone applications, some have begun to view PN as a novel way to deliver the right dietary intervention to the right population. We argue that large-scale PN, if taken alone, might be of limited interest from a public health perspective. Building on Geoffrey Rose’s theory regarding the differences in individual and population causes of disease, we show that large-scale PN can only address some individual causes of obesity (causes of cases). This individual-centred approach is likely to have a small impact on the distribution of obesity at a population level because it ignores the population causes of obesity (causes of incidence). The latter are embedded in the populations’ social, cultural, economic and political contexts that make environments obesogenic. Additionally, the most socially privileged groups in the population are the most likely to respond to large-scale PN interventions. This could have the undesirable effect of widening social inequalities in obesity. We caution public health actors that interventions based only on large-scale PN are unlikely, despite current expectations, to improve dietary intake or reduce obesity at a population level.
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Affiliation(s)
- Angeline Chatelan
- Institute of Social and Preventive Medicine, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Murielle Bochud
- Institute of Social and Preventive Medicine, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Katherine L Frohlich
- Département de médecine sociale et préventive, Ecole de Santé Publique & Institut de recherche en santé publique de l'Université de Montréal, Université de Montréal, Montreal, QC, Canada
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Kaufman-Shriqui V, Salem H, Boaz M, Birk R. Knowledge and Attitudes Towards Nutrigenetics: Findings from the 2018 Unified Forces Preventive Nutrition Conference (UFPN). Nutrients 2020; 12:nu12020335. [PMID: 32012749 PMCID: PMC7071140 DOI: 10.3390/nu12020335] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 01/24/2020] [Accepted: 01/24/2020] [Indexed: 12/13/2022] Open
Abstract
Background: Nutrigenetics indicates that individual genetic variability results in altered health outcomes necessitating personalized nutrition adaptation. Registered dietitians are recognized as the clinical nutrition experts, but their knowledge and attitudes regarding nutrigenetics has not been delineated. Methods: This cross sectional online survey was conducted in a convenience sample of 169 national nutrition conference attendees. The survey queried demographics, knowledge, and attitudes towards nutrigenetics and information on training in nutrigenetics. Results: The majority of participants were registered dietitians and female, 45% of whom held advanced degrees. Personalized nutrition was perceived by 93.5% of participants as highly important or important; however, 94% of respondents indicated they are not sufficiently knowledgeable in personalized nutrition and only 9.5% had received training in nutrigenetics. The mean nutrigenetics knowledge score was 6.89 ± 1.67 (out of a possible 12). A multivariate regression model of knowledge score identified education as the only independent predictor of this outcome. Conclusion: Personalized nutrition is a rapidly developing field that incorporates genetic data into clinical practice. Dietitians recognize the importance of advanced studies to acquire knowledge in nutrigenetics. Only by acquiring the necessary knowledge can dietitians accurately translate this nutrigenetics into clinical practice.
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Affiliation(s)
| | | | | | - Ruth Birk
- Correspondence: ; Tel.: +972-3-976-5704; Fax: +972-3-542-3553
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Hansen J, Stadler D. Nutritional Genomics: Exploration of Personal Genetic Testing in the Classroom. J Acad Nutr Diet 2019; 119:1613-1617. [DOI: 10.1016/j.jand.2019.02.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Indexed: 01/08/2023]
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Walker C, Gibney ER, Mathers JC, Hellweg S. Comparing environmental and personal health impacts of individual food choices. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 685:609-620. [PMID: 31195322 DOI: 10.1016/j.scitotenv.2019.05.404] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 05/24/2019] [Accepted: 05/26/2019] [Indexed: 06/09/2023]
Abstract
Dietary choices affect personal health and environmental impacts, but little is known about the relation between these outcomes. Here we examine the intake-related health impacts and the food-production related impacts to ecosystems and human health by applying life cycle impact assessment methods to habitual diet data of 1457 European adults. We measured food production impacts for each individual in terms of Disability Adjusted Life Years (DALYs) as calculated by the Recipe 2016 life cycle impact assessment method using secondary production data, which were then compared with their personal health DALYs predicted from the known relationships between dietary choices and disease risk. Across this population cohort, each individual was estimated to lose on average 2.5 ± 0.9 DALYs per lifetime due to sub-optimal dietary intake (with seed and vegetable under-consumption the greatest contributors) and their food choices caused environmental human health impacts of 2.4 ± 1.3 DALYs (particularly due to the damage associated with production of meats, milk, and vegetables). Overall, there was no relationship between a healthier dietary pattern and the environmental human health impacts associated with production of its constituent foods (i.e. healthier diets did not have lower or higher production impacts). This was due to a combination of decreased meat consumption correlating with increased consumption of other foods, as well as the fact that under-consumption of some low impact foods yielded high personal health consequences. However, for specific food items synergies and tradeoffs could be identified. For example, reduced processed meat consumption benefits both personal and environmental health. Every DALY caused by higher whole grain and vegetable production and consumption would be offset by reduced disease risk that equated to an average of 7.7 (5.7 to 10.4) and 1.4 (0.9 to 2.5) lower personal health DALYs, respectively.
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Affiliation(s)
- Christie Walker
- Institute of Environmental Engineering, ETH Zurich, HPZ E33, John-von-Neumann-Weg 9, 8093 Zürich, Switzerland.
| | - Eileen R Gibney
- Institute of Food and Health, University College Dublin, Dublin 4, Ireland
| | - John C Mathers
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle NE2 4HH, UK
| | - Stefanie Hellweg
- Institute of Environmental Engineering, ETH Zurich, HPZ E33, John-von-Neumann-Weg 9, 8093 Zürich, Switzerland
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Personalised nutrition - phenotypic and genetic variation in response to dietary intervention. Proc Nutr Soc 2019; 79:236-245. [PMID: 31549601 DOI: 10.1017/s0029665119001137] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Personalised nutrition allows individual differences in dietary, lifestyle, anthropometry, phenotype and/or genomic profile to be used to direct specific dietary advice. For personalised nutrition advice to be effective both sides need to be considered; firstly, that factors influencing variation in response to dietary intervention are identified and appropriate advice can be derived and secondly; that these are then used effectively in the provision of nutrition advice, resulting in a positive dietary and/or lifestyle behaviour change. There is considerable evidence demonstrating genetic and phenotypic influence on the biological response to the consumption of nutrients and bioactives. However, findings are often mixed, with studies often investigating at the level of a single nutrient/bioactive and/or a single genetic/phenotypic variation, meaning the derivation of specific advice at a dietary level in an individual/group of individuals can be complex. Similarly, the impact of using this information to derive personalised advice is also mixed, with some studies demonstrating no effectiveness and others showing a significant impact. The present paper will outline examples of phenotypic and genetic variation influencing response to nutritional interventions, and will consider how they could be used in the provision of personalised nutrition.
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Beneficial effect of personalized lifestyle advice compared to generic advice on wellbeing among Dutch seniors - An explorative study. Physiol Behav 2019; 210:112642. [PMID: 31394106 DOI: 10.1016/j.physbeh.2019.112642] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 08/02/2019] [Accepted: 08/03/2019] [Indexed: 01/20/2023]
Abstract
The aim of this explorative study is to evaluate whether personalized compared to generic lifestyle advice improves wellbeing in a senior population. We conducted a nine-week single-blind randomized controlled trial including 59 participants (age 67.7 ± 4.8 years) from Wageningen and its surrounding areas in the Netherlands. Three times during the intervention period, participants received either personalized advice (PA), or generic advice (GA) to improve lifestyle behavior. Personalization was based on metabolic health measures and dietary intake resulting in an advice that highlighted food groups and physical activity types for which behavior change was most urgent. Before and after the intervention period self-perceived health was evaluated as parameter of wellbeing using a self-perceived health score (single-item) and two questionnaires (Vita-16 and Short Form-12). Additionally, anthropometry and physical functioning (short physical performance battery, SPPB) were assessed. Overall scores for self-perceived health did not change over time in any group. Resilience and motivation (Vita-16) slightly improved only in the PA group, whilst mental health (SF-12) and energy (Vita-16) showed slight improvement only in the GA group. SPPB scores improved over time in both the PA and GA group. PA participants also showed a reduction in body fat percentage and hip circumference, whereas these parameters increased in the GA group Our findings suggest that although no clear effects on wellbeing were found, still, at least on the short term, personalized advice may evoke health benefits in a population of seniors as compared to generic advice.
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Biesiekierski JR, Livingstone KM, Moschonis G. Personalised Nutrition: Updates, Gaps and Next Steps. Nutrients 2019; 11:nu11081793. [PMID: 31382527 PMCID: PMC6722533 DOI: 10.3390/nu11081793] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 08/01/2019] [Indexed: 12/15/2022] Open
Abstract
Personalised nutrition approaches provide healthy eating advice tailored to the nutritional needs of the individual[...].
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Affiliation(s)
- Jessica R Biesiekierski
- Department of Dietetics, Nutrition and Sport, School of Allied Health, Human Services and Sport,La Trobe University, Bundoora, VIC 3086, Australia.
| | - Katherine M Livingstone
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC 3125, Australia
| | - George Moschonis
- Department of Dietetics, Nutrition and Sport, School of Allied Health, Human Services and Sport,La Trobe University, Bundoora, VIC 3086, Australia
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Celis-Morales C, Livingstone KM, Petermann-Rocha F, Navas-Carretero S, San-Cristobal R, O'Donovan CB, Moschonis G, Manios Y, Traczyk I, Drevon CA, Daniel H, Marsaux CFM, Saris WHM, Fallaize R, Macready AL, Lovegrove JA, Gibney M, Gibney ER, Walsh M, Brennan L, Martinez JA, Mathers JC. Frequent Nutritional Feedback, Personalized Advice, and Behavioral Changes: Findings from the European Food4Me Internet-Based RCT. Am J Prev Med 2019; 57:209-219. [PMID: 31248745 DOI: 10.1016/j.amepre.2019.03.024] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 03/11/2019] [Accepted: 03/12/2019] [Indexed: 11/19/2022]
Abstract
INTRODUCTION This study tested the hypothesis that providing personalized nutritional advice and feedback more frequently would promote larger, more appropriate, and sustained changes in dietary behavior as well as greater reduction in adiposity. STUDY DESIGN A 6-month RCT (Food4Me) was conducted in seven European countries between 2012 and 2013. SETTING/PARTICIPANTS A total of 1,125 participants were randomized to Lower- (n=562) or Higher- (n=563) Frequency Feedback groups. INTERVENTION Participants in the Lower-Frequency group received personalized nutritional advice at baseline and at Months 3 and 6 of the intervention, whereas the Higher-Frequency group received personalized nutritional advice at baseline and at Months 1, 2, 3 and 6. MAIN OUTCOME MEASURES The primary outcomes were change in dietary intake (at food and nutrient levels) and obesity-related traits (body weight, BMI, and waist circumference). Participants completed an online Food Frequency Questionnaire to estimate usual dietary intake at baseline and at Months 3 and 6 of the intervention. Overall diet quality was evaluated using the 2010 Healthy Eating Index. Obesity-related traits were self-measured and reported by participants via the Internet. Statistical analyses were performed during the first quarter of 2018. RESULTS At 3 months, participants in the Lower- and Higher-Frequency Feedback groups showed improvements in Healthy Eating Index score; this improvement was larger in the Higher-Frequency group than the Lower-Frequency group (Δ=1.84 points, 95% CI=0.79, 2.89, p=0.0001). Similarly, there were greater improvements for the Higher- versus Lower-Frequency group for body weight (Δ= -0.73 kg, 95% CI= -1.07, -0.38, p<0.0001), BMI (Δ= -0.24 kg/m2, 95% CI= -0.36, -0.13, p<0.0001), and waist circumference (Δ= -1.20 cm, 95% CI= -2.36, -0.04, p=0.039). However, only body weight and BMI remained significant at 6 months. CONCLUSIONS At 3 months, higher-frequency feedback produced larger improvements in overall diet quality as well as in body weight and waist circumference than lower-frequency feedback. However, only body weight and BMI remained significant at 6 months. TRIAL REGISTRATION This study is registered at www.clinicaltrials.gov NCT01530139.
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Affiliation(s)
- Carlos Celis-Morales
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom; Exercise Physiology Research Centre (CIFE), Universidad Mayor, Santiago, Chile; BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Katherine M Livingstone
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom; Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Fanny Petermann-Rocha
- BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Santiago Navas-Carretero
- Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain; CIBERobn, Instituto de Salud Carlos III, Madrid, Spain
| | - Rodrigo San-Cristobal
- Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain; Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute, Madrid Institute for Advanced Studies, CEI UAM + CSIC, Madrid, Spain
| | - Clare B O'Donovan
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin, Republic of Ireland
| | - George Moschonis
- Department of Dietetics, Nutrition and Sport, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
| | - Yannis Manios
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | - Iwona Traczyk
- Department of Human Nutrition, Faculty of Health Sciences, Medical University of Warsaw, Warsaw, Poland
| | - Christian A Drevon
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Hannelore Daniel
- Molecular Nutrition Unit, Department Food and Nutrition, Technische Universität München, Munich, Germany
| | - Cyril F M Marsaux
- Department of Human Biology, NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Wim H M Saris
- Department of Human Biology, NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Rosalind Fallaize
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom; Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom
| | - Anna L Macready
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom
| | - Julie A Lovegrove
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom
| | - Mike Gibney
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin, Republic of Ireland
| | - Eileen R Gibney
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin, Republic of Ireland
| | - Marianne Walsh
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin, Republic of Ireland
| | - Lorraine Brennan
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin, Republic of Ireland
| | - J Alfredo Martinez
- Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain; CIBERobn, Instituto de Salud Carlos III, Madrid, Spain; Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute, Madrid Institute for Advanced Studies, CEI UAM + CSIC, Madrid, Spain
| | - John C Mathers
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom.
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Abstract
As each individual person differs from the next in multiple ways, it is a beguiling idea that our individual nutritional needs also differ. In support of this idea, findings from nutritional intervention studies provide ample evidence of considerable interindividual variation in response to the same dietary exposure. We have a limited understanding of the mechanisms responsible for this variation but, following sequencing of the human genome, the role of genes in explaining interindividual differences has been centre stage. In addition, evidence of diet–gene interactions that influence phenotype, including health, emphasises the importance of both nature and nurture. Eating patterns are major determinants of health, so public health advice to reduce the risk of common complex diseases focuses on diet. However, most dietary interventions are relatively ineffective and personalised approaches that tailor the intervention to the individual may be more acceptable and more effective. That idea was tested in the Food4Me study in which adults from seven European countries were randomised to one of four treatment groups in an internet‐delivered dietary intervention. Compared with the Control (standardised healthy eating advice), those people randomised to a personalised nutrition intervention had bigger, sustained changes, in eating behaviour after 6 months. However, including more complex phenotypic and/or genotypic information in developing the personalised nutrition advice had no added benefit. Research in personalised nutrition is broadening its scope to consider effects mediated by the gut microbiome as well as multiple aspects of genotype and phenotype. Such research has the potential to explain interindividual differences in the response to specific dietary factors and may provide a scientific basis for more refined approaches to personalised nutrition. However, if this research is to make a significant contribution to improving public health, it will need to address the psychological, social, economic and cultural factors that influence eating patterns to ensure that advice is converted into action and that improved dietary habits are sustained in perpetuity.
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Affiliation(s)
- John C Mathers
- Human Nutrition Research Centre Institute of Cellular Medicine and Newcastle University Institute for Ageing Newcastle University Newcastle on Tyne NE2 4HH UK
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Arpón A, Milagro FI, Ramos-Lopez O, Mansego ML, Riezu-Boj JI, Martínez JA. Methylome-Wide Association Study in Peripheral White Blood Cells Focusing on Central Obesity and Inflammation. Genes (Basel) 2019; 10:genes10060444. [PMID: 31212707 PMCID: PMC6627499 DOI: 10.3390/genes10060444] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 06/03/2019] [Accepted: 06/07/2019] [Indexed: 12/13/2022] Open
Abstract
Epigenetic signatures such as DNA methylation may be associated with specific obesity traits in different tissues. The onset and development of some obesity-related complications are often linked to visceral fat accumulation. The aim of this study was to explore DNA methylation levels in peripheral white blood cells to identify epigenetic methylation marks associated with waist circumference (WC). DNA methylation levels were assessed using Infinium Human Methylation 450K and MethylationEPIC beadchip (Illumina) to search for putative associations with WC values of 473 participants from the Methyl Epigenome Network Association (MENA) project. Statistical analysis and Ingenuity Pathway Analysis (IPA) were employed for assessing the relationship between methylation and WC. A total of 669 CpGs were statistically associated with WC (FDR < 0.05, slope ≥ |0.1|). From these CpGs, 375 CpGs evidenced a differential methylation pattern between females with WC ≤ 88 and > 88 cm, and 95 CpGs between males with WC ≤ 102 and > 102 cm. These differentially methylated CpGs are located in genes related to inflammation and obesity according to IPA. Receiver operating characteristic (ROC) curves of the top four significant differentially methylated CpGs separated by sex discriminated individuals with presence or absence of abdominal fat. ROC curves of all the CpGs from females and one CpG from males were validated in an independent sample (n = 161). These methylation results add further insights about the relationships between obesity, adiposity-associated comorbidities, and DNA methylation where inflammation processes may be involved.
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Affiliation(s)
- Ana Arpón
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Irunlarrea 1,31008 Pamplona, Spain.
- Centre for Nutrition Research, University of Navarra, Irunlarrea 1, 31008, Pamplona, Spain.
| | - Fermín I Milagro
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Irunlarrea 1,31008 Pamplona, Spain.
- Centre for Nutrition Research, University of Navarra, Irunlarrea 1, 31008, Pamplona, Spain.
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain.
- Navarra Institute for Health Research (IdiSNa), 31008, Pamplona, Spain.
| | - Omar Ramos-Lopez
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Irunlarrea 1,31008 Pamplona, Spain.
- Centre for Nutrition Research, University of Navarra, Irunlarrea 1, 31008, Pamplona, Spain.
| | - Maria L Mansego
- Department of Bioinformatics, Making Genetics S.L., 31002, Pamplona, Spain.
| | - José-Ignacio Riezu-Boj
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Irunlarrea 1,31008 Pamplona, Spain.
- Centre for Nutrition Research, University of Navarra, Irunlarrea 1, 31008, Pamplona, Spain.
- Navarra Institute for Health Research (IdiSNa), 31008, Pamplona, Spain.
| | - J Alfredo Martínez
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Irunlarrea 1,31008 Pamplona, Spain.
- Centre for Nutrition Research, University of Navarra, Irunlarrea 1, 31008, Pamplona, Spain.
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain.
- Navarra Institute for Health Research (IdiSNa), 31008, Pamplona, Spain.
- Precision Nutrition and Cardiometabolic Health Program, Madrid Institute for Advanced Studies (IMDEA), IMDEA Food, 28049, Madrid, Spain.
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Fallaize R, Franco RZ, Hwang F, Lovegrove JA. Evaluation of the eNutri automated personalised nutrition advice by users and nutrition professionals in the UK. PLoS One 2019; 14:e0214931. [PMID: 30943252 PMCID: PMC6447217 DOI: 10.1371/journal.pone.0214931] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 03/24/2019] [Indexed: 12/18/2022] Open
Abstract
Nutrition apps have great potential to support people to improve their diets, but few apps give automated validated personalised nutrition advice. A web app capable of delivering automated personalised food-based nutrition advice (eNutri) was developed. The aims of this study were to i) evaluate and optimise the personalised nutrition report provided by the app and ii) compare the personalised food-based advice with nutrition professionals’ standards to aid validation. A study with nutrition professionals (NP) compared the advice provided by the app against professional Registered Dietitians (RD) (n = 16) and Registered Nutritionists (RN) (n = 16) standards. Each NP received two pre-defined scenarios, comprising an individual’s characteristics and dietary intake based on an analysis of a food frequency questionnaire, along with the nutrition food-based advice that was automatically generated by the app for that individual. NPs were asked to use their professional judgment to consider the scenario, provide their three most relevant recommendations for that individual, then consider the app’s advice and rate their level of agreement via 5-star scales (with 5 as complete agreement). NPs were also asked to comment on the eNutri recommendations, scores generated and overall impression. The mean scores for the appropriateness, relevance and suitability of the eNutri diet messages were 3.5, 3.3 and 3.3 respectively.
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Affiliation(s)
- Rosalind Fallaize
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research (ICMR), Department of Food and Nutritional Sciences, University of Reading, Whiteknights, Reading, United Kingdom
- School of Life and Medical Sciences, University of Hertfordshire, College Lane, Hatfield, United Kingdom
| | - Rodrigo Zenun Franco
- Biomedical Engineering Section, School of Biological Sciences, University of Reading, Reading, United Kingdom
| | - Faustina Hwang
- Biomedical Engineering Section, School of Biological Sciences, University of Reading, Reading, United Kingdom
| | - Julie A. Lovegrove
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research (ICMR), Department of Food and Nutritional Sciences, University of Reading, Whiteknights, Reading, United Kingdom
- * E-mail:
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Potential Use of Mobile Phone Applications for Self-Monitoring and Increasing Daily Fruit and Vegetable Consumption: A Systematized Review. Nutrients 2019; 11:nu11030686. [PMID: 30909484 PMCID: PMC6471011 DOI: 10.3390/nu11030686] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Revised: 03/15/2019] [Accepted: 03/20/2019] [Indexed: 12/22/2022] Open
Abstract
A wide range of chronic diseases could be prevented through healthy lifestyle choices, such as consuming five portions of fruits and vegetables daily, although the majority of the adult population does not meet this recommendation. The use of mobile phone applications for health purposes has greatly increased; these applications guide users in real time through various phases of behavioural change. This review aimed to assess the potential of self-monitoring mobile phone health (mHealth) applications to increase fruit and vegetable intake. PubMed and Web of Science were used to conduct this systematized review, and the inclusion criteria were: randomized controlled trials evaluating mobile phone applications focused on increasing fruit and/or vegetable intake as a primary or secondary outcome performed from 2008 to 2018. Eight studies were included in the final assessment. The interventions described in six of these studies were effective in increasing fruit and/or vegetable intake. Targeting stratified populations and using long-lasting interventions were identified as key aspects that could influence the effectiveness of these interventions. In conclusion, evidence shows the effectiveness of mHealth application interventions to increase fruit and vegetable consumption. Further research is needed to design effective interventions and to determine their efficacy over the long term.
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A Scientific Perspective of Personalised Gene-Based Dietary Recommendations for Weight Management. Nutrients 2019; 11:nu11030617. [PMID: 30875721 PMCID: PMC6471589 DOI: 10.3390/nu11030617] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 03/06/2019] [Accepted: 03/09/2019] [Indexed: 01/06/2023] Open
Abstract
Various studies showed that a "one size fits all" dietary recommendation for weight management is questionable. For this reason, the focus increasingly falls on personalised nutrition. Although there is no precise and uniform definition of personalised nutrition, the inclusion of genetic variants for personalised dietary recommendations is more and more favoured, whereas scientific evidence for gene-based dietary recommendations is rather limited. The purpose of this article is to provide a science-based viewpoint on gene-based personalised nutrition and weight management. Most of the studies showed no clinical evidence for gene-based personalised nutrition. The Food4Me study, e.g., investigated four different groups of personalised dietary recommendations based on dietary guidelines, and physiological, clinical, or genetic parameters, and resulted in no difference in weight loss between the levels of personalisation. Furthermore, genetic direct-to-consumer (DTC) tests are widely spread by companies. Scientific organisations clearly point out that, to date, genetic DTC tests are without scientific evidence. To date, gene-based personalised nutrition is not yet applicable for the treatment of obesity. Nevertheless, personalised dietary recommendations on the genetic landscape of a person are an innovative and promising approach for the prevention and treatment of obesity. In the future, human intervention studies are necessary to prove the clinical evidence of gene-based dietary recommendations.
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Primers on nutrigenetics and nutri(epi)genomics: Origins and development of precision nutrition. Biochimie 2019; 160:156-171. [PMID: 30878492 DOI: 10.1016/j.biochi.2019.03.006] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Accepted: 03/08/2019] [Indexed: 12/11/2022]
Abstract
Understanding the relationship between genotype and phenotype is a central goal not just for genetics but also for medicine and biological sciences. Despite outstanding technological progresses, genetics alone is not able to completely explain phenotypes, in particular for complex diseases. Given the existence of a "missing heritability", growing attention has been given to non-mendelian mechanisms of inheritance and to the role of the environment. The study of interaction between gene and environment represents a challenging but also a promising field with high potential for health prevention, and epigenetics has been suggested as one of the best candidate to mediate environmental effects on the genome. Among environmental factors able to interact with both genome and epigenome, nutrition is one of the most impacting. Not just our genome influences the responsiveness to food and nutrients, but vice versa, nutrition can also modify gene expression through epigenetic mechanisms. In this complex picture, nutrigenetics and nutrigenomics represent appealing disciplines aimed to define new prospectives of personalized nutrition. This review introduces to the study of gene-environment interactions and describes how nutrigenetics and nutrigenomics modulate health, promoting or affecting healthiness through life-style, thus playing a pivotal role in modulating the effect of genetic predispositions.
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Arpón A, Milagro FI, Ramos-Lopez O, Mansego ML, Santos JL, Riezu-Boj JI, Martínez JA. Epigenome-wide association study in peripheral white blood cells involving insulin resistance. Sci Rep 2019; 9:2445. [PMID: 30792424 PMCID: PMC6385280 DOI: 10.1038/s41598-019-38980-2] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 01/11/2019] [Indexed: 02/06/2023] Open
Abstract
Insulin resistance (IR) is a hallmark of type 2 diabetes, metabolic syndrome and cardiometabolic risk. An epigenetic phenomena such as DNA methylation might be involved in the onset and development of systemic IR. The aim of this study was to explore the genetic DNA methylation levels in peripheral white blood cells with the objective of identifying epigenetic signatures associated with IR measured by the Homeostatic Model Assessment of IR (HOMA-IR) following an epigenome-wide association study approach. DNA methylation levels were assessed using Infinium Methylation Assay (Illumina), and were associated with HOMA-IR values of participants from the Methyl Epigenome Network Association (MENA) project, finding statistical associations for at least 798 CpGs. A stringent statistical analysis revealed that 478 of them showed a differential methylation pattern between individuals with HOMA-IR ≤ 3 and > 3. ROC curves of top four CpGs out of 478 allowed differentiating individuals between both groups (AUC≈0.88). This study demonstrated the association between DNA methylation in some specific CpGs and HOMA-IR values that will help to the understanding and in the development of new strategies for personalized approaches to predict and prevent IR-associated diseases.
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Affiliation(s)
- Ana Arpón
- University of Navarra, Department of Nutrition, Food Sciences and Physiology & Centre for Nutrition Research, Pamplona, Spain
| | - Fermín I Milagro
- University of Navarra, Department of Nutrition, Food Sciences and Physiology & Centre for Nutrition Research, Pamplona, Spain.,Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn), Institute of Health Carlos III, Madrid, Spain
| | - Omar Ramos-Lopez
- University of Navarra, Department of Nutrition, Food Sciences and Physiology & Centre for Nutrition Research, Pamplona, Spain
| | - M Luisa Mansego
- University of Navarra, Department of Nutrition, Food Sciences and Physiology & Centre for Nutrition Research, Pamplona, Spain
| | - José Luis Santos
- Department of Nutrition, Diabetes and Metabolism, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - José-Ignacio Riezu-Boj
- University of Navarra, Department of Nutrition, Food Sciences and Physiology & Centre for Nutrition Research, Pamplona, Spain. .,Navarra Institute for Health Research (IdiSNa), Pamplona, Spain.
| | - J Alfredo Martínez
- University of Navarra, Department of Nutrition, Food Sciences and Physiology & Centre for Nutrition Research, Pamplona, Spain.,Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn), Institute of Health Carlos III, Madrid, Spain.,Navarra Institute for Health Research (IdiSNa), Pamplona, Spain.,Madrid Institute for Advanced Studies (IMDEA), IMDEA Food, Madrid, Spain
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Ghanvatkar S, Kankanhalli A, Rajan V. User Models for Personalized Physical Activity Interventions: Scoping Review. JMIR Mhealth Uhealth 2019; 7:e11098. [PMID: 30664474 PMCID: PMC6352015 DOI: 10.2196/11098] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 10/01/2018] [Accepted: 10/26/2018] [Indexed: 02/06/2023] Open
Abstract
Background Fitness devices have spurred the development of apps that aim to motivate users, through interventions, to increase their physical activity (PA). Personalization in the interventions is essential as the target users are diverse with respect to their activity levels, requirements, preferences, and behavior. Objective This review aimed to (1) identify different kinds of personalization in interventions for promoting PA among any type of user group, (2) identify user models used for providing personalization, and (3) identify gaps in the current literature and suggest future research directions. Methods A scoping review was undertaken by searching the databases PsycINFO, PubMed, Scopus, and Web of Science. The main inclusion criteria were (1) studies that aimed to promote PA; (2) studies that had personalization, with the intention of promoting PA through technology-based interventions; and (3) studies that described user models for personalization. Results The literature search resulted in 49 eligible studies. Of these, 67% (33/49) studies focused solely on increasing PA, whereas the remaining studies had other objectives, such as maintaining healthy lifestyle (8 studies), weight loss management (6 studies), and rehabilitation (2 studies). The reviewed studies provide personalization in 6 categories: goal recommendation, activity recommendation, fitness partner recommendation, educational content, motivational content, and intervention timing. With respect to the mode of generation, interventions were found to be semiautomated or automatic. Of these, the automatic interventions were either knowledge-based or data-driven or both. User models in the studies were constructed with parameters from 5 categories: PA profile, demographics, medical data, behavior change technique (BCT) parameters, and contextual information. Only 27 of the eligible studies evaluated the interventions for improvement in PA, and 16 of these concluded that the interventions to increase PA are more effective when they are personalized. Conclusions This review investigates personalization in the form of recommendations or feedback for increasing PA. On the basis of the review and gaps identified, research directions for improving the efficacy of personalized interventions are proposed. First, data-driven prediction techniques can facilitate effective personalization. Second, use of BCTs in automated interventions, and in combination with PA guidelines, are yet to be explored, and preliminary studies in this direction are promising. Third, systems with automated interventions also need to be suitably adapted to serve specific needs of patients with clinical conditions. Fourth, previous user models focus on single metric evaluations of PA instead of a potentially more effective, holistic, and multidimensional view. Fifth, with the widespread adoption of activity monitoring devices and mobile phones, personalized and dynamic user models can be created using available user data, including users’ social profile. Finally, the long-term effects of such interventions as well as the technology medium used for the interventions need to be evaluated rigorously.
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Affiliation(s)
- Suparna Ghanvatkar
- Department of Information Systems and Analytics, School of Computing, National University of Singapore, Singapore, Singapore
| | - Atreyi Kankanhalli
- Department of Information Systems and Analytics, School of Computing, National University of Singapore, Singapore, Singapore
| | - Vaibhav Rajan
- Department of Information Systems and Analytics, School of Computing, National University of Singapore, Singapore, Singapore
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Arpón A, Milagro FI, Santos JL, García-Granero M, Riezu-Boj JI, Martínez JA. Interaction Among Sex, Aging, and Epigenetic Processes Concerning Visceral Fat, Insulin Resistance, and Dyslipidaemia. Front Endocrinol (Lausanne) 2019; 10:496. [PMID: 31379754 PMCID: PMC6653993 DOI: 10.3389/fendo.2019.00496] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 07/08/2019] [Indexed: 12/28/2022] Open
Abstract
The distribution of adipose tissue is influenced by gender and by age, shifting from subcutaneous to visceral depots with longevity, increasing the development of several aging-related diseases and manifestations such as obesity, metabolic syndrome, and insulin resistance. Epigenetics might have an important role in aging processes. The aim of this research was to investigate the interactions between aging and epigenetic processes and the role of visceral adipose tissue, insulin resistance, and dyslipidaemia. Two different study samples of 366 and 269 adult participants were analyzed. Anthropometric, biochemical (including the triglycerides-glucose (TyG) index), and blood pressure measurements were assessed following standardized methods. Body composition measurements by Dual-energy X-ray absorptiometry (DXA) were also performed for the second sample. Methylation data were assessed by Infinium Human Methylation BeadChip (Illumina) in peripheral white blood cells. Epigenetic age acceleration was calculated using the methods DNAmAge (AgeAcc) and GrimAge (AgeAccGrim). Age acceleration (AgeAccGrim) showed better correlations than AgeAcc with most of the measured variables (waist circumference, glucose, HOMA-IR, HDL-cholesterol, triglycerides, and TyG index) for the first sample. In the second sample, all the previous correlations were confirmed, except for HOMA-IR. In addition, many of the anthropometrical measurements assessed by DXA and C-reactive protein (CRP) were also statistically associated with AgeAccGrim. Associations separated by sex showed statistically significant correlations between AgeAccGrim and HDL-cholesterol or CRP in women, whereas, in men, the association was with visceral adipose tissue mass DXA, triglycerides and TyG index. Linear regression models (model 1 included visceral adipose tissue mass DXA and TyG index and model 2 included HDL-cholesterol and CRP) showed a significant association for men concerning visceral adipose tissue mass DXA and TyG index, while HDL-cholesterol and CRP were associated in women. Moreover, structural equation modeling showed that the TyG index was mediating the majority of the visceral adipose tissue mass action on age acceleration. Collectively, these findings showed that there are different mechanisms affecting epigenetic age acceleration depending on sex. The identified relationships between epigenetic age acceleration and disease markers will contribute to the understanding of the development of age-related diseases.
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Affiliation(s)
- Ana Arpón
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Pamplona, Spain
- Centre for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Fermín I. Milagro
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Pamplona, Spain
- Centre for Nutrition Research, University of Navarra, Pamplona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
- Navarra Institute for Health Research (IdiSNa), Pamplona, Spain
| | - José L. Santos
- Department of Nutrition, Diabetes and Metabolism, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | | | - José-Ignacio Riezu-Boj
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Pamplona, Spain
- Centre for Nutrition Research, University of Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNa), Pamplona, Spain
- *Correspondence: José-Ignacio Riezu-Boj
| | - J. Alfredo Martínez
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Pamplona, Spain
- Centre for Nutrition Research, University of Navarra, Pamplona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
- Navarra Institute for Health Research (IdiSNa), Pamplona, Spain
- Precision Nutrition and Cardiometabolic Health Program, Madrid Institute for Advanced Studies (IMDEA), IMDEA Food, Madrid, Spain
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