Literature DB >> 32708099

Using Dietary Indices-What's Next?

Sabine Rohrmann1, Giulia Pestoni1.   

Abstract

For centuries, it has been known that what we eat is essential for our health [...].

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Mesh:

Year:  2020        PMID: 32708099      PMCID: PMC7401242          DOI: 10.3390/nu12072161

Source DB:  PubMed          Journal:  Nutrients        ISSN: 2072-6643            Impact factor:   5.717


For centuries, it has been known that what we eat is essential for our health. Dietary advice has been an integral part of recommendations for a healthy life. However, for the majority of the world’s population, getting enough calories and a sufficient amount of nutrients (from amino acids to vitamins) has been a struggle, and overnutrition or a hypercaloric but “hyponutrient” diet is a rather new phenomenon for humans. Especially with respect to cardiovascular diseases (CVD), it has been shown that certain dietary behaviors, or dietary patterns, are associated with an increased risk of disease or even mortality [1]. One mechanism, by which a diet rich in calories, but lacking essential nutrients might act, is increased inflammation [2,3]. It has been postulated that chronic low-grade inflammation is associated with several types of CVD [4,5]. Dietary indices are frequently used to characterize certain aspects of diet, often its degree of adhering to certain dietary recommendations. The most well-known indices are probably the Healthy Eating Index [6] and the Alternate Healthy Eating Index [7], which aim to estimate the adherence to a healthy diet based on the consumption of vegetables, fruit, whole grains, sugar-sweetened beverages and fruit juices, nuts and legumes, red and processed meat, trans fat, long-chain n-3 fats, polyunsaturated fatty acids (PUFA), sodium, and alcohol. Both indices were associated with a reduced risk for chronic disease morbidity and mortality in different populations [8]. However, these well-known dietary indices were developed without considering the potential impact of dietary components on the mechanism through which diet influences the risk of diseases, such as inflammation. The Dietary Inflammatory Index (DII) assesses the inflammatory potential of different dietary components, based on their association with circulating levels of inflammatory markers [9,10]. Since its development in 2009 [9], the DII has been used in a variety of studies looking at a number of different health outcomes. Recently, Shivappa et al. conducted a systematic review and meta-analysis of studies on the association of DII with CVD incidence and mortality [11]. Fourteen studies, 11 cohort, two case-control and one cross-sectional, were deemed eligible for the analysis, which included 161,337 participants and 15,738 cases, covering a broad range of CVD outcomes. The main results were a positive association of a high DII (corresponding to a pro-inflammatory diet) vs. low DII with CVD incidence (relative risk (RR) 1.35, 95% confidence interval (CI) 1.11–1.63) and CVD mortality (RR 1.37, 95% CI 1.11–1.70). Looking more closely at CVD subgroups, there was an association between DII and the risk of myocardial infarction, but not stroke, angina pectoris, or ischemic heart disease. Some of these differences might be due to smaller numbers of studies that examined a particular outcome. For example, five datasets examined myocardial infarction as an outcome, but only three looked at ischemic heart disease. Interestingly, the results of CVD were similar in size by geographic region, but not by sex. A statistically significantly positive association was seen for women, but not for men; again, however, only few studies provided results stratified by sex. The results of this meta-analysis provide further evidence that inflammation is likely one of the mechanisms by which an unhealthy diet might increase the risk of CVD. Other mechanisms, potentially interrelated with inflammation [12,13], are also likely to contribute to the development of CVD. For example, Tabung et al. developed insulin-related dietary indices [14] that capture the ability of whole diets to stimulate and/or sustain insulin secretion. On the other hand, certain types of dietary patterns, such as the Mediterranean Diet, the Nordic Diet or the Dietary Approaches to Stop Hypertension (DASH), have been shown to be linked with decreased inflammation [15,16,17] as well as improved insulin response and lipid profiles [18,19,20,21,22]. Whether inflammation, impaired glucose tolerance or blood lipids are the cause or the interlinked causes of chronic diseases is still a matter of debate [23,24], but, in either case, the question arises in which way diet is linked to them and how these associations can be transferred into effective dietary recommendations. How do we proceed with these interesting and important findings? Do we need a food pyramid with inflammation-reducing foods and in addition dietary guidelines that improve glucose tolerance and insulin sensitivity? Additionally, how can we make sure that those who are most in need of changing their diet towards a more healthy one do so?
  24 in total

1.  The healthy Nordic diet for blood glucose control: a systematic review and meta-analysis of randomized controlled clinical trials.

Authors:  Alireza Zimorovat; Mohammad Mohammadi; Nahid Ramezani-Jolfaie; Amin Salehi-Abargouei
Journal:  Acta Diabetol       Date:  2019-06-06       Impact factor: 4.280

Review 2.  Benefits of the Mediterranean Diet: Insights From the PREDIMED Study.

Authors:  Miguel A Martínez-González; Jordi Salas-Salvadó; Ramón Estruch; Dolores Corella; Montse Fitó; Emilio Ros
Journal:  Prog Cardiovasc Dis       Date:  2015-05-01       Impact factor: 8.194

3.  The effect of dietary approaches to stop hypertension (DASH) on serum inflammatory markers: A systematic review and meta-analysis of randomized trials.

Authors:  Sepideh Soltani; Maryam J Chitsazi; Amin Salehi-Abargouei
Journal:  Clin Nutr       Date:  2017-03-02       Impact factor: 7.324

4.  Development and validation of empirical indices to assess the insulinaemic potential of diet and lifestyle.

Authors:  Fred K Tabung; Weike Wang; Teresa T Fung; Frank B Hu; Stephanie A Smith-Warner; Jorge E Chavarro; Charles S Fuchs; Walter C Willett; Edward L Giovannucci
Journal:  Br J Nutr       Date:  2016-11-08       Impact factor: 3.718

5.  A new dietary inflammatory index predicts interval changes in serum high-sensitivity C-reactive protein.

Authors:  Philip P Cavicchia; Susan E Steck; Thomas G Hurley; James R Hussey; Yunsheng Ma; Ira S Ockene; James R Hébert
Journal:  J Nutr       Date:  2009-10-28       Impact factor: 4.798

Review 6.  Mediterranean diet, dietary polyphenols and low grade inflammation: results from the MOLI-SANI study.

Authors:  Marialaura Bonaccio; George Pounis; Chiara Cerletti; Maria Benedetta Donati; Licia Iacoviello; Giovanni de Gaetano
Journal:  Br J Clin Pharmacol       Date:  2016-05-03       Impact factor: 4.335

7.  Designing and developing a literature-derived, population-based dietary inflammatory index.

Authors:  Nitin Shivappa; Susan E Steck; Thomas G Hurley; James R Hussey; James R Hébert
Journal:  Public Health Nutr       Date:  2013-08-14       Impact factor: 4.022

Review 8.  DASH Dietary Pattern and Cardiometabolic Outcomes: An Umbrella Review of Systematic Reviews and Meta-Analyses.

Authors:  Laura Chiavaroli; Effie Viguiliouk; Stephanie K Nishi; Sonia Blanco Mejia; Dario Rahelić; Hana Kahleová; Jordi Salas-Salvadó; Cyril Wc Kendall; John L Sievenpiper
Journal:  Nutrients       Date:  2019-02-05       Impact factor: 5.717

Review 9.  Low-grade inflammation, diet composition and health: current research evidence and its translation.

Authors:  Anne M Minihane; Sophie Vinoy; Wendy R Russell; Athanasia Baka; Helen M Roche; Kieran M Tuohy; Jessica L Teeling; Ellen E Blaak; Michael Fenech; David Vauzour; Harry J McArdle; Bas H A Kremer; Luc Sterkman; Katerina Vafeiadou; Massimo Massi Benedetti; Christine M Williams; Philip C Calder
Journal:  Br J Nutr       Date:  2015-07-31       Impact factor: 3.718

10.  Cholesterol versus Inflammation as Cause of Chronic Diseases.

Authors:  Sunil K Panchal; Lindsay Brown
Journal:  Nutrients       Date:  2019-10-01       Impact factor: 5.717

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