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Record W4391926164 · doi:10.1111/1747-0080.12867

Navigating the complexity of applying nutrition evidence to individualised care: Summary of an Academy of Nutrition Sciences Position Paper

2024· editorial· en· W4391926164 on OpenAlexaboutno aff
Judith Buttriss, Mary Hickson, Kevin Whelan, Christine M. Williams

Bibliographic record

VenueNutrition & Dietetics · 2024
Typeeditorial
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsnot available
Fundersnot available
KeywordsPosition (finance)Position paperEngineering ethicsGerontologyMedicineEngineeringBusinessPathology

Abstract

fetched live from OpenAlex

Diet is key to the maintenance of health and crucial in the prevention and management of many diseases. Modified nutrient intake may become essential to prevent deficiency, optimise development and health, or manage symptoms and disease progression. Adding to the complexity, disease and its treatment can also affect taste, appetite, and ability to access and prepare foods. Coupled with this, individual requirements for energy, macronutrients, and micronutrients are influenced by factors such as life stage (age, growth, pregnancy, etc.) and health status, which can affect the processes of consuming, digesting, absorbing, metabolising, or excreting nutrients. First and foremost, dietary advice must be based on sound evidence if it is to achieve and maintain human health. Furthermore, the practice of nutrition and dietetics must integrate and apply the sciences of food, nutrition, biology, physiology, behaviour management, and communication, and must also recognise the context that society presents, including the plethora of often conflicting information on diet and health available via the internet and other media sources. A new Position Paper1 from the Academy of Nutrition Sciences provides a state-of-the-art summary of how evidence-based practice is used to inform nutrition interventions for individuals, with a particular emphasis on research evaluation and using examples taken from the treatment of existing, clinically diagnosed disease. It is the third in a series of papers by the Academy of Nutrition Sciences that describes the nature of the scientific evidence and frameworks that underpin nutrition recommendations for health. It builds on the first Academy of Nutrition Sciences Position Paper that focussed on how dietary recommendations are formulated for populations for prevention of non-communicable diseases2 and the second Academy of Nutrition Sciences Position Paper that examined the evidence used to support health claims for specific foods.3 Editorials that summarise these Position Papers and their recommendations have also been published to widen dissemination,4-7 as is the case here with this editorial summarising the Academy of Nutrition Sciences Position Paper in relation to nutrition interventions for individuals.1 A primary method through which research evidence is used to guide individualised nutrition interventions is by the development of clinical practice guidelines, which are ‘systematically developed statements to assist practitioner and patient decisions about appropriate health care for specific clinical circumstances’.8 Guidelines attempt to bridge the gap between research and clinical practice, guiding the practitioner and patient to implement treatments based on the best available evidence. Importantly, evidence-based practice recognises that research evidence is integrated with clinical expertise and patient preference, described as a ‘three-legged stool’ to emphasise that without one of these elements, evidence-based clinical decision-making collapses.9 See Figure 1. Of major importance to evidence-based nutrition and dietetic practice is the ability to critically appraise the quality and certainty of research evidence in terms of: (i) whether an appropriate study design has been used to answer the clinical question; (ii) the methodological quality of the study (i.e., specific aspects of the methods); and (iii) the overall quality and certainty of the evidence as a basis for deriving recommendations, by applying GRADE10 or a similar framework. The Position Paper provides examples of critical appraisal tools for use with different study designs, including tools to assess the risk of bias within the study. There are a number of published Guidelines that support delivery of nutrition interventions by nutrition and dietetic professionals. The aim of a well-defined methodological process is to promote objectivity, transparency, and reproducibility, while minimising issues such as conflicts of interest. Examples include the Evidence Analysis Library (EAL) that is hosted and reviewed by the US Academy of Nutrition and Dietetics,11 and the Practice-based Evidence in Nutrition® (PEN), which is an online nutrition knowledge translation platform jointly managed by Dietitians of Canada, the British Dietetic Association, and Dietitians Australia.12 The EAL and PEN illustrate different approaches in applying research evidence to individual clients, and the full Position Paper includes a useful table comparing the two clinical practice guideline development processes. The Position Paper identifies a number of challenges that require attention. Perhaps the most obvious of these is that, in addition to the increasing quantity and quality of robustly performed research studies, there is an abundance of conflicting information and misinformation that has to be navigated from diverse sources, including non-qualified practitioners, social media influencers and celebrities, the proliferation of fad diets and health products, and the tendency to use sensational headlines to attract more clicks, views, and sales. See Box 1 for a summary of the challenges identified in the Position Paper. A number of strengths are recognised in the progress made to date, including (i) implementation of research through transparent guidelines; (ii) defined processes for the development of national and international guidelines; and (iii) developments and collaborations in the form of EAL and PEN. To address the challenges identified in its Position Paper (Box 1), the Academy of Nutrition Sciences makes 10 consensus recommendations, addressed to three specific audiences. A summary of these 10 recommendations is provided in Boxes 2–4, but a detailed description of the recommendations, together with tools to support groups in the application of these (e.g., research glossary, list of critical appraisal tools, etc.), is available in the full paper.1 The authors declare no conflicts of interest. Data sharing is not applicable as no new data were created or analysed in this study.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.481
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.124
GPT teacher head0.432
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2024
Admission routes1
Has abstractyes

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