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Guo Q, Wang L, Qu Q, Cheang I, Li X, Pang H, Liao S. Association of flavonoid intake with coronary artery disease risk in the older population based on the National Health and Nutrition Examination Survey. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:3815-3827. [PMID: 38095791 DOI: 10.1007/s11356-023-31347-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 11/30/2023] [Indexed: 01/19/2024]
Abstract
We investigated the association between flavonoid intake and coronary artery disease (CAD) risk in older adults. Data were extracted from the National Health and Nutrition Examination Survey (age ≥ 70 years; 2007-2010 and 2017-2018; n = 2 417). The total flavonoid and flavonoid subclass intake was calculated using validated food frequency questionnaires. The association between flavonoid intake and CAD risk was examined using generalized linear models with restricted cubic spline models. After multivariate adjustment, anthocyanin intake was positively associated with CAD risk; no significant associations were observed between other flavonoid subcategories and endpoint outcomes. Anthocyanins exhibited a non-linear association with CAD risk, and threshold effect analysis showed an inflection point of 15.8 mg/day for anthocyanins. Per unit increase in anthocyanins, the odds of CAD on the left of the inflection point decreased by 2%, while the odds on the right increased by 35.8%. Excessive flavonoid intake may increase CAD risk in the older population.
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Affiliation(s)
- Qixin Guo
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Luyang Wang
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qiang Qu
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Iokfai Cheang
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xinli Li
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Hui Pang
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Shengen Liao
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
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Li K, Tong HHY, Chen Y, Sun Y, Wang J. The emerging roles of next-generation metabolomics in critical care nutrition. Crit Rev Food Sci Nutr 2022; 64:1213-1224. [PMID: 36004623 DOI: 10.1080/10408398.2022.2113761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Critical illness leads to millions of deaths worldwide each year, with a significant surge due to the COVID-19 pandemic. Patients with critical illness are frequently associated with systemic metabolic disorders and malnutrition. The idea of intervention for critically ill patients through enteral and parenteral nutrition has been paid more and more attention gradually. However, current nutritional therapies focus on evidence-based practice, and there have been lacking holistic approaches for nutritional support assessment. Metabolomics is a well-established omics technique in system biology that enables comprehensive profiling of metabolites in a biological system and thus provides the underlying information expressed and modulated by all other omics layers. In recent years, with the development of high-resolution and accurate mass spectrometry, metabolomics entered a new "generation", promoting its broader applications in critical care nutrition. In this review, we first described the technological development and milestones of next-generation metabolomics in the past 20 years. We then discussed the emerging roles of next-generation metabolomics in advancing our understanding of critical care nutrition, such as nutritional deficiency risk evaluation, metabolic mechanisms of nutritional therapies, and novel nutrition target identification.
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Affiliation(s)
- Kefeng Li
- Department of Critical Care Medicine, Yantai Yuhuangding Hospital Affiliated with Medical College of Qingdao University, Yantai, Shandong, China
- Faculty of Health Sciences and Sports, Macao Polytechnic University, Macao SAR, China
- School of Medicine, University of California, San Diego, California, USA
| | - Henry Hoi Yee Tong
- Faculty of Health Sciences and Sports, Macao Polytechnic University, Macao SAR, China
| | - Yuwei Chen
- The Second Clinical Medical College, Binzhou Medical University, Binzhou, Shandong, China
| | - Yizhu Sun
- Department of Critical Care Medicine, Yantai Yuhuangding Hospital Affiliated with Medical College of Qingdao University, Yantai, Shandong, China
| | - Jing Wang
- Department of Critical Care Medicine, Yantai Yuhuangding Hospital Affiliated with Medical College of Qingdao University, Yantai, Shandong, China
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3
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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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4
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A Scoping Review of the Application of Metabolomics in Nutrition Research: The Literature Survey 2000-2019. Nutrients 2021; 13:nu13113760. [PMID: 34836016 PMCID: PMC8623534 DOI: 10.3390/nu13113760] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 10/19/2021] [Accepted: 10/19/2021] [Indexed: 12/29/2022] Open
Abstract
Nutrimetabolomics is an emerging field in nutrition research, and it is expected to play a significant role in deciphering the interaction between diet and health. Through the development of omics technology over the last two decades, the definition of food and nutrition has changed from sources of energy and major/micro-nutrients to an essential exposure factor that determines health risks. Furthermore, this new approach has enabled nutrition research to identify dietary biomarkers and to deepen the understanding of metabolic dynamics and the impacts on health risks. However, so far, candidate markers identified by metabolomics have not been clinically applied and more efforts should be made to validate those. To help nutrition researchers better understand the potential of its application, this scoping review outlined the historical transition, recent focuses, and future prospects of the new realm, based on trends in the number of human research articles from the early stage of 2000 to the present of 2019 by searching the Medical Literature Analysis and Retrieval System Online (MEDLINE). Among them, objective dietary assessment, metabolic profiling, and health risk prediction were positioned as three of the principal applications. The continued growth will enable nutrimetabolomics research to contribute to personalized nutrition in the future.
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De Silva K, Lim S, Mousa A, Teede H, Forbes A, Demmer RT, Jönsson D, Enticott J. Nutritional markers of undiagnosed type 2 diabetes in adults: Findings of a machine learning analysis with external validation and benchmarking. PLoS One 2021; 16:e0250832. [PMID: 33951067 PMCID: PMC8099133 DOI: 10.1371/journal.pone.0250832] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 04/14/2021] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVES Using a nationally-representative, cross-sectional cohort, we examined nutritional markers of undiagnosed type 2 diabetes in adults via machine learning. METHODS A total of 16429 men and non-pregnant women ≥ 20 years of age were analysed from five consecutive cycles of the National Health and Nutrition Examination Survey. Cohorts from years 2013-2016 (n = 6673) was used for external validation. Undiagnosed type 2 diabetes was determined by a negative response to the question "Have you ever been told by a doctor that you have diabetes?" and a positive glycaemic response to one or more of the three diagnostic tests (HbA1c > 6.4% or FPG >125 mg/dl or 2-hr post-OGTT glucose > 200mg/dl). Following comprehensive literature search, 114 potential nutritional markers were modelled with 13 behavioural and 12 socio-economic variables. We tested three machine learning algorithms on original and resampled training datasets built using three resampling methods. From this, the derived 12 predictive models were validated on internal- and external validation cohorts. Magnitudes of associations were gauged through odds ratios in logistic models and variable importance in others. Models were benchmarked against the ADA diabetes risk test. RESULTS The prevalence of undiagnosed type 2 diabetes was 5.26%. Four best-performing models (AUROC range: 74.9%-75.7%) classified 39 markers of undiagnosed type 2 diabetes; 28 via one or more of the three best-performing non-linear/ensemble models and 11 uniquely by the logistic model. They comprised 14 nutrient-based, 12 anthropometry-based, 9 socio-behavioural, and 4 diet-associated markers. AUROC of all models were on a par with ADA diabetes risk test on both internal and external validation cohorts (p>0.05). CONCLUSIONS Models performed comparably to the chosen benchmark. Novel behavioural markers such as the number of meals not prepared from home were revealed. This approach may be useful in nutritional epidemiology to unravel new associations with type 2 diabetes.
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Affiliation(s)
- Kushan De Silva
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Clayton, Australia
| | - Siew Lim
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Clayton, Australia
| | - Aya Mousa
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Clayton, Australia
| | - Helena Teede
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Clayton, Australia
| | - Andrew Forbes
- Biostatistics Unit, Division of Research Methodology, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Melbourne, Australia
| | - Ryan T Demmer
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America.,Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Daniel Jönsson
- Department of Periodontology, Faculty of Odontology, Malmö University, Malmö, Sweden.,Swedish Dental Service of Skane, Lund, Sweden
| | - Joanne Enticott
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Clayton, Australia
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6
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Profiling Colorectal Cancer in the Landscape Personalized Testing-Advantages of Liquid Biopsy. Int J Mol Sci 2021; 22:ijms22094327. [PMID: 33919272 PMCID: PMC8122648 DOI: 10.3390/ijms22094327] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 04/14/2021] [Accepted: 04/18/2021] [Indexed: 12/11/2022] Open
Abstract
Drug-specific therapeutic approaches for colorectal cancer (CRC) have contributed to significant improvements in patient health. Nevertheless, there is still a great need to improve the personalization of treatments based on genetic and epigenetic tumor profiles to maximize the quality and efficacy while limiting cytotoxicity. Currently, CEA and CA 19-9 are the only validated blood biomarkers in clinical practice. For this reason, laboratories are trying to identify new specific prognostics and, more importantly, predictive biomarkers for CRC patient profiling. Thus, the unique landscape of personalized biomarker data should have a clinical impact on CRC treatment strategies and molecular genetic screening tests should become the standard method for diagnosing CRC. This review concentrates on recent molecular testing in CRC and discusses the potential modifications in CRC assay methodology with the upcoming clinical application of novel genomic approaches. While mechanisms for analyzing circulating tumor DNA have been proven too inaccurate, detecting and analyzing circulating tumor cells and protein analysis of exosomes represent more promising options. Blood liquid biopsy offers good prospects for the future if the results align with pathologists’ tissue analyses. Overall, early detection, accurate diagnosis and treatment monitoring for CRC with specific markers and targeted molecular testing may benefit many patients.
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7
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Herrero M, Thornton PK, Mason-D'Croz D, Palmer J, Bodirsky BL, Pradhan P, Barrett CB, Benton TG, Hall A, Pikaar I, Bogard JR, Bonnett GD, Bryan BA, Campbell BM, Christensen S, Clark M, Fanzo J, Godde CM, Jarvis A, Loboguerrero AM, Mathys A, McIntyre CL, Naylor RL, Nelson R, Obersteiner M, Parodi A, Popp A, Ricketts K, Smith P, Valin H, Vermeulen SJ, Vervoort J, van Wijk M, van Zanten HH, West PC, Wood SA, Rockström J. Articulating the effect of food systems innovation on the Sustainable Development Goals. Lancet Planet Health 2021; 5:e50-e62. [PMID: 33306994 DOI: 10.1016/s2542-5196(20)30277-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 11/18/2020] [Accepted: 11/18/2020] [Indexed: 05/15/2023]
Abstract
Food system innovations will be instrumental to achieving multiple Sustainable Development Goals (SDGs). However, major innovation breakthroughs can trigger profound and disruptive changes, leading to simultaneous and interlinked reconfigurations of multiple parts of the global food system. The emergence of new technologies or social solutions, therefore, have very different impact profiles, with favourable consequences for some SDGs and unintended adverse side-effects for others. Stand-alone innovations seldom achieve positive outcomes over multiple sustainability dimensions. Instead, they should be embedded as part of systemic changes that facilitate the implementation of the SDGs. Emerging trade-offs need to be intentionally addressed to achieve true sustainability, particularly those involving social aspects like inequality in its many forms, social justice, and strong institutions, which remain challenging. Trade-offs with undesirable consequences are manageable through the development of well planned transition pathways, careful monitoring of key indicators, and through the implementation of transparent science targets at the local level.
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Affiliation(s)
- Mario Herrero
- Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD, Australia.
| | - Philip K Thornton
- CGIAR Research Programme on Climate Change, Agriculture and Food Security, International Livestock Research Institute, Nairobi, Kenya
| | - Daniel Mason-D'Croz
- Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD, Australia
| | - Jeda Palmer
- Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD, Australia
| | | | - Prajal Pradhan
- Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany
| | - Christopher B Barrett
- Dyson School of Applied Economics and Management, Cornell University, New York, NY, USA
| | - Tim G Benton
- The Royal Institute for International Affairs, Chatham House, London, UK
| | - Andrew Hall
- Commonwealth Scientific and Industrial Research Organisation (CSIRO), Black Mountain, ACT, Australia
| | - Ilje Pikaar
- The University of Queensland, St Lucia, QLD, Australia
| | - Jessica R Bogard
- Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD, Australia
| | - Graham D Bonnett
- Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD, Australia
| | - Brett A Bryan
- Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, Burwood, VIC, Australia
| | - Bruce M Campbell
- CGIAR Research Program on Climate Change, Agriculture and Food Security and International Center for Tropical Agriculture, Valle del Cauca, Colombia; Department of Plant and Environmental Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Svend Christensen
- Department of Plant and Environmental Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Michael Clark
- Nuffield Department of Population Health, University of Oxford, Oxford, UK; Oxford Martin School, University of Oxford, Oxford, UK
| | - Jessica Fanzo
- School of Advanced International Studies, Berman Institute of Bioethics, Johns Hopkins University, Washington, DC, USA; Bloomberg School of Public Health, Johns Hopkins University, Washington, DC, USA
| | - Cecile M Godde
- Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD, Australia
| | - Andy Jarvis
- CGIAR Research Program on Climate Change, Agriculture and Food Security and International Center for Tropical Agriculture, Valle del Cauca, Colombia
| | - Ana Maria Loboguerrero
- CGIAR Research Program on Climate Change, Agriculture and Food Security and International Center for Tropical Agriculture, Valle del Cauca, Colombia
| | - Alexander Mathys
- Sustainable Food Processing Laboratory, Institute of Food, Nutrition and Health, ETH Zurich, Zurich, Switzerland
| | - C Lynne McIntyre
- Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD, Australia
| | - Rosamond L Naylor
- Center on Food Security and the Environment, Stanford University, Stanford, CA, USA
| | - Rebecca Nelson
- Dyson School of Applied Economics and Management, Cornell University, New York, NY, USA
| | - Michael Obersteiner
- International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria; Environmental Change Institute, University of Oxford, Oxford, UK
| | - Alejandro Parodi
- Animal Production Systems group, Wageningen University & Research, Wageningen, Netherlands
| | - Alexander Popp
- Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany
| | - Katie Ricketts
- Commonwealth Scientific and Industrial Research Organisation (CSIRO), Black Mountain, ACT, Australia
| | - Pete Smith
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| | - Hugo Valin
- International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
| | | | - Joost Vervoort
- Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, Netherlands
| | - Mark van Wijk
- International Livestock Research Institute, Nairobi, Kenya
| | - Hannah He van Zanten
- Farming Systems Ecology Group, Wageningen University & Research, Wageningen, Netherlands
| | - Paul C West
- Institute on the Environment, University of Minnesota, Minneapolis, MN, USA
| | - Stephen A Wood
- The Nature Conservancy, Arlington, VA, USA; Yale School of the Environment, New Haven, CT, USA
| | - Johan Rockström
- Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany; Institute of Environmental Science and Geography, Universität Potsdam, Potsdam-Golm, Germany
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Dimitratos SM, German JB, Schaefer SE. Wearable Technology to Quantify the Nutritional Intake of Adults: Validation Study. JMIR Mhealth Uhealth 2020; 8:e16405. [PMID: 32706729 PMCID: PMC7407252 DOI: 10.2196/16405] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 01/13/2020] [Accepted: 04/10/2020] [Indexed: 01/20/2023] Open
Abstract
Background Wearable and mobile sensor technologies can be useful tools in precision nutrition research and practice, but few are reliable for obtaining accurate and precise measurements of diet and nutrition. Objective This study aimed to assess the ability of wearable technology to monitor the nutritional intake of adult participants. This paper describes the development of a reference method to validate the wristband’s estimation of daily nutritional intake of 25 free-living study participants and to evaluate the accuracy (kcal/day) and practical utility of the technology. Methods Participants were asked to use a nutrition tracking wristband and an accompanying mobile app consistently for two 14-day test periods. A reference method was developed to validate the estimation of daily nutritional intake of participants by the wristband. The research team collaborated with a university dining facility to prepare and serve calibrated study meals and record the energy and macronutrient intake of each participant. A continuous glucose monitoring system was used to measure adherence with dietary reporting protocols, but these findings are not reported. Bland-Altman tests were used to compare the reference and test method outputs (kcal/day). Results A total of 304 input cases were collected of daily dietary intake of participants (kcal/day) measured by both reference and test methods. The Bland-Altman analysis had a mean bias of −105 kcal/day (SD 660), with 95% limits of agreement between −1400 and 1189. The regression equation of the plot was Y=−0.3401X+1963, which was significant (P<.001), indicating a tendency for the wristband to overestimate for lower calorie intake and underestimate for higher intake. Researchers observed transient signal loss from the sensor technology of the wristband to be a major source of error in computing dietary intake among participants. Conclusions This study documents high variability in the accuracy and utility of a wristband sensor to track nutritional intake, highlighting the need for reliable, effective measurement tools to facilitate accurate, precision-based technologies for personal dietary guidance and intervention.
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Affiliation(s)
- Sarah M Dimitratos
- Foods for Health Institute, University of California, Davis, CA, United States
| | - J Bruce German
- Foods for Health Institute, University of California, Davis, CA, United States
| | - Sara E Schaefer
- Foods for Health Institute, University of California, Davis, CA, United States
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9
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Nutrition - facts and myths. ACTA PHARMACEUTICA (ZAGREB, CROATIA) 2019; 69:497-510. [PMID: 31639089 DOI: 10.2478/acph-2019-0051] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 06/28/2019] [Indexed: 01/19/2023]
Abstract
Taking responsibility for your life, among other factors, means also considering what to eat and which nutrition pattern to follow. Everyone needs to think about what they put on the plate and which ingredients should be avoided. Food, as such, will never be a drug or medication, like a painkilling tablet relieving pain in a short amount of time, for example. However, proper nutrition is our ally in the prevention of diseases, maintaining balance in our body and our mind. By following the main principles of a healthy diet, the physiological homeostasis can be managed, as well as faster recovery from disease achieved. This review is aimed at summarizing basic principles of nutrition recommendations and at empowering stakeholders (pharmacists, medical biochemists, physicians) to be able to communicate to their patients and customers healthy and sustainable nutrition choices through the personalized advice.
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10
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Andraos S, Wake M, Saffery R, Burgner D, Kussmann M, O'Sullivan J. Perspective: Advancing Understanding of Population Nutrient-Health Relations via Metabolomics and Precision Phenotypes. Adv Nutr 2019; 10:944-952. [PMID: 31098626 PMCID: PMC6855971 DOI: 10.1093/advances/nmz045] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Revised: 03/26/2019] [Accepted: 04/01/2019] [Indexed: 02/07/2023] Open
Abstract
Diet and lifestyle are vital to population health, but their true contribution is difficult to quantify using traditional methods. Nutrient-health relations are typically based on epidemiological associations that are assessed at the population level, traditionally using self-reported dietary and lifestyle data. Unfortunately, such measures are inherently inaccurate. New technologies such as metabolomics can measure nutritional and micronutrient profiles in body fluids, providing objective evaluation of nutritional status. A critical step toward accurate health prediction models would be the building of integrated repositories of nutritional measures combining subjective methods of reporting with objective metabolomics profiles and precise phenotypic data. Here we outline a roadmap to achieve this goal and discuss both the advantages and risks of this approach. We also highlight the uncertain associations between the complexity of high-dimensional data generated in 'omics research (along with the public confusion this may engender) and the rapid adoption of 'omics approaches by nutrition and health companies to develop nutritional products and services.
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Affiliation(s)
| | - Melissa Wake
- The Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Richard Saffery
- The Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - David Burgner
- The Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Martin Kussmann
- Liggins Institute, Auckland, New Zealand,New Zealand National Science Challenge, High-Value Nutrition, The University of Auckland, Auckland, New Zealand,Frontiers Media SA, Lausanne, Switzerland
| | - Justin O'Sullivan
- Liggins Institute, Auckland, New Zealand,New Zealand National Science Challenge, High-Value Nutrition, The University of Auckland, Auckland, New Zealand,Address correspondence to JO (e-mail: )
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11
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Perez-Cueto FJA. An Umbrella Review of Systematic Reviews on Food Choice and Nutrition Published between 2017 and-2019. Nutrients 2019; 11:nu11102398. [PMID: 31591373 PMCID: PMC6836087 DOI: 10.3390/nu11102398] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 09/30/2019] [Accepted: 10/03/2019] [Indexed: 12/28/2022] Open
Abstract
The objective of this umbrella review was to provide an update on the latest knowledge in the field of food choice and nutrition. Databases Scopus and ISI-Web of Science were searched for "food choice" AND nutrition. Papers were included if they were systematic reviews published between January 2017 and August 2019 on any subpopulation group. In total, 26 systematic reviews were kept. Data were extracted with a predetermined grid including first author, publication year, country, population group, explanatory constructs (intervention focus) and reported outcomes. Common indicators for outcome measures on food choice and nutrition studies are nutrition knowledge, healthy food choices, food purchases and food and nutrient intake. The most common strategy implemented to alter food choice with a nutritional aim is nutrition education, followed by provision of information through labels. Among children, parent modelling is key to achieving healthy food choices. In general, combining strategies seems to be the most effective way to achieve healthier food consumption and to maintain good nutrition in all age groups.
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Affiliation(s)
- Federico J A Perez-Cueto
- University of Copenhagen, Department of Food Science, Section for Food Design and Consumer Behaviour, Rolighedsvej 26, 1958 Frederiksberg, Denmark.
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12
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Wongvibulsin S, Martin SS, Steinhubl SR, Muse ED. Connected Health Technology for Cardiovascular Disease Prevention and Management. CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE 2019; 21:29. [PMID: 31104157 PMCID: PMC7263827 DOI: 10.1007/s11936-019-0729-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
PURPOSE OF THE REVIEW Advances in computing power and wireless technologies have reshaped our approach to patient monitoring. Medical grade sensors and apps that were once restricted to hospitals and specialized clinic are now widely available. Here, we review the current evidence supporting the use of connected health technologies for the prevention and management of cardiovascular disease in an effort to highlight gaps and future opportunities for innovation. RECENT FINDINGS Initial studies in connected health for cardiovascular disease prevention and management focused primarily on activity tracking and blood pressure monitoring but have since expanded to include a full panoply of novel sensors and pioneering smartphone apps with targeted interventions in diet, lipid management and risk assessment, smoking cessation, cardiac rehabilitation, heart failure, and arrhythmias. While outfitting patients with sensors and devices alone is infrequently a lasting solution, monitoring programs that include personalized insights based on patient-level data are more likely to lead to improved outcomes. Advances in this space have been driven by patients and researchers while healthcare systems remain slow to fully integrate and adequately adapt these new technologies into their workflows. Cardiovascular disease prevention and management continue to be key focus areas for clinicians and researchers in the connected health space. Exciting progress has been made though studies continue to suffer from small sample size and limited follow-up. Efforts that combine home patient monitoring, engagement, and personalized feedback are the most promising. Ultimately, combining patient-level ambulatory sensor data, electronic health records, and genomics using machine learning analytics will bring precision medicine closer to reality.
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Affiliation(s)
- Shannon Wongvibulsin
- Department of Biomedical Engineering, Johns Hopkins University, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Seth S Martin
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Steven R Steinhubl
- Scripps Research Translational Institute, 3344 N. Torrey Pines Ct, Suite 300, La Jolla, San Diego, CA, 92037, USA
| | - Evan D Muse
- Scripps Research Translational Institute, 3344 N. Torrey Pines Ct, Suite 300, La Jolla, San Diego, CA, 92037, USA.
- Division of Cardiovascular Disease, Scripps Clinic-Scripps Health, La Jolla, San Diego, CA, USA.
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Pan A, Lin X, Hemler E, Hu FB. Diet and Cardiovascular Disease: Advances and Challenges in Population-Based Studies. Cell Metab 2018; 27:489-496. [PMID: 29514062 PMCID: PMC5844273 DOI: 10.1016/j.cmet.2018.02.017] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Revised: 01/16/2018] [Accepted: 02/16/2018] [Indexed: 12/12/2022]
Abstract
In this Minireview, we provide an epidemiologist's perspective on the debate and recent advances in determining the relationship between diet and cardiovascular health. We conclude that, in order to reduce the global burden of cardiovascular disease, there should be a greater emphasis on improving overall diet quality and food sources of macronutrients, such as dietary fats and carbohydrates. In addition, building a strong evidence base through high-quality intervention and observational studies is crucial for effective policy changes, which can greatly improve the food environment and population health.
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Affiliation(s)
- An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province 430030, China.
| | - Xu Lin
- Key Laboratory of Nutrition and Metabolism, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Elena Hemler
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
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