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Enregistrement W2739188564 · doi:10.1093/nutrit/nux033

Author’s reply: Impact on health and healthcare costs if monounsaturated fatty acids were substituted for conventional dietary oils in the United States

2017· review· en· W2739188564 sur OpenAlexaff
Mohammad M. H. Abdullah, Stephanie Jew, Peter J.H. Jones

Notice bibliographique

RevueNutrition Reviews · 2017
Typereview
Langueen
DomaineNursing
ThématiqueFatty Acid Research and Health
Établissements canadiensUniversity of Manitoba
Organismes subventionnairesnon disponible
Mots-clésHealth careEnvironmental healthFood scienceBusinessChemistryMedicinePolitical scienceLaw

Résumé

récupéré en direct d'OpenAlex

In his letter,1 Dr. Temple asserts that the cost savings potentially generated in the short run by a reduced incidence of coronary heart disease (CHD) and type 2 diabetes (T2D) following a recommended intake of monounsaturated fatty acids (MUFAs) will likely be cancelled out in the long run by costs generated when people live longer. The argument is that when mortality due to CHD and T2D is reduced, individuals will live longer, thereby developing other diseases common in the elderly and receiving social security payments for more years, which will be costly. While we appreciate the logic and the evidence, although still limited, behind this view into the complex relationship between early prevention of fatal disease and longer-term healthcare spending, it should be noted that our published work2 was concerned with the potential savings in healthcare and societal costs that are directly related to CHD and T2D, in particular, and not to all disorders within the healthcare system. Such cost savings would still be expected to apply to the two diseases of interest in our analysis in later years of life, regardless of incidences of other health conditions and their accompanying costs. In fact, given that CHD and T2D are among the top morbidities and causes of mortality, especially among the elderly, in the United States, it is reasonable to claim that prevention or better management of these chronic diseases early on would result in higher healthcare cost savings of relevance in the long run. As such, the potential dollar value forecasted by avoiding CHD and T2D risks through the substitution of dietary oils rich in MUFAs for oils rich in saturated and trans fatty acids, as an example, and as part of public health strategies that advocate improved adherence to healthy nutritional behaviors, would still be considered real savings. Of course, we agree that a portion of these savings may be used in treating diseases that are common in the elderly, as listed by Temple.1 Perhaps more importantly, however, the available funds could also be used, sooner or later, in the following ways: (1) allocated to public health and community-based programs that would address prevention or early management of other diseases, including those related to aging, thus leading to lower disease rates (and thus costs) in later years; (2) utilized to appropriately improve the construct of, or effectively reform, the healthcare system; and (3) assigned to other nationwide priority domains such as education and infrastructure. That being said, we should also emphasize the need for comparative studies aimed at understanding the health, and possible economic, effects of MUFA consumption alone vs within the context of certain eating patterns. Realizing the benefits of improved consumption of oils rich in healthy fatty acid profiles on health outcomes, professional societies including the Academy of Nutrition and Dietetics, the American Heart Association, the Institute of Medicine, the Food and Agriculture Organization of the United Nations, and the US Department of Health and Human Services (through the Dietary Guidelines for Americans) have established population-wide dietary fatty acid recommendations for optimal health or better management of chronic disease. Without such efforts, it is evident that costs to healthcare and society as a direct consequence of chronic disease would be even more substantial. Similarly, realizing the health benefit and cost-effectiveness of such healthy dietary approaches, the World Health Organization and other health authorities in many countries have already implemented government-supported policy strategies and programs to advocate nutritional behavior change that would result in lower incidence of disease. Examples include salt (sodium) reduction efforts and trans-fat bans. Therefore, caution must be exercised in supporting the idea that healthy individuals who normally live longer are likely to be more expensive for the healthcare sector in the long run than unhealthy persons, or that public health interventions aimed at preventing fatal disease have no benefits. It should be noted that, apart from the healthcare expenditure, costs to society related to CHD and T2D are also high because of workday absences due to illness, reduced performance at work, and premature mortality. Savings related to such “indirect costs” of disease following healthy dietary or any other lifestyle approaches are unlikely to be completely offset by healthcare costs that are linked to a longer lifespan. Increased productivity can translate into a longer presence within the workforce, as well as to contributions to human and financial capital flows to the healthcare system. Unlike our analysis, which took this aspect into consideration, such indirect costs have not been captured in previous analyses that questioned the longer-term economic benefits of smoking cessation and obesity prevention. It should be noted that an increased quality of life is also an important factor related to undertaking strategies that reduce risk for disease. Deficits in health are linked to reductions in quality of life outcomes and serve as another driver for developing population-level strategies that promote healthier longevity and prevent premature mortality. We do not disagree that adjustments for additional healthcare costs that may arise in later years of life as a result of avoiding chronic diseases, such as CHD and T2D, represent an important aspect of any economic analyses. In order to gain a better understanding of the short- and long-term impacts on both the healthcare sector and society as a whole, as well as the implications for clinical or public health practices, further research on the relationship between disease prevention and healthcare spending is warranted. We thank Dr. Temple for his effort to enhance understanding of these issues.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,052
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,022
Score d'incertitude au seuil0,037

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,052
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,002
Communication savante0,0020,003
Science ouverte0,0020,002
Intégrité de la recherche0,0220,022
Charge utile insuffisante (le modèle a refusé de juger)0,0100,005

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 Opus0,257
Tête enseignante GPT0,493
Écart entre enseignants0,236 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations1
Publié2017
Routes d'admission1
Résumé présentnon

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