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Enregistrement 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 sur OpenAlexaboutno aff
Judith Buttriss, Mary Hickson, Kevin Whelan, Christine M. Williams

Notice bibliographique

RevueNutrition & Dietetics · 2024
Typeeditorial
Langueen
DomaineMedicine
ThématiqueNutrition and Health in Aging
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPosition (finance)Position paperEngineering ethicsGerontologyMedicineEngineeringBusinessPathology

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,481
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,124
Tête enseignante GPT0,432
Écart entre enseignants0,308 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2024
Routes d'admission1
Résumé présentoui

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