Dietary Patterns and Mediterranean Diet Score and Hazard of Recurrent Coronary Heart Disease Events and All‐Cause Mortality in the REGARDS Study

Shikany, James M.; Safford, Monika M.; Bryan, Joanna; Newby, P. K.; Richman, Joshua S.; Durant, Raegan W.; Brown, Todd M.; Judd, Suzanne E.

doi:10.1161/jaha.117.008078

Cited by 32 publications

(35 citation statements)

References 49 publications

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“…Regional differences in DPs revealed in this study indicate a significant determinism of eating habits depending on specific local living conditions and, possibly, eating traditions. Numerous studies in other countries, especially in geographically and ethnically heterogeneous ones, have also shown at times significant differences in the dietary structure of the population of different regions [33,44,73]. At the same time, the analysis of regional features in this study mostly reflects only the fact of their presence.…”

Section: Discussionmentioning

confidence: 64%

“…Taking into account food products included in specified DPs, the "Rational" and "Mixed" DPs seem to be the most favorable, especially the former. The "Rational" DP includes a fairly diverse set of healthy foods (cereals and pasta, fruit and vegetables, dairy products) which are part of many DPs that are a posteriori defined as "Healthy" in many countries [33,[42][43][44][45].…”

Section: Discussionmentioning

confidence: 99%

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Sociodemographic and Regional Determinants of Dietary Patterns in Russia

Maksimov

Карамнова

Шальнова

et al. 2020

IJERPH

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An empirical assessment of diets using a posteriori analysis allows us to define actual dietary patterns (DPs) in the food consumption structure of a population. This study represents an a posteriori assessment of DPs for the Russian population in general as well as their dependence on socio-demographic and regional parameters. The data were obtained from 21,923 individuals aged 25–64 years old from a Russian multicenter study of “Epidemiology of Cardiovascular Diseases in the Regions of the Russian Federation” conducted in 2013–2014. Cross-sectional study subjects were interviewed face-to-face in order to obtain data on their diet. DPs were defined using principal component analysis. Four DPs were specified as “Rational”, “Salt”, “Meat”, and “Mixed”; all these variants together accounted for 55.9% of variance. Diets in gender and age groups corresponded to those for an all-Russian population; in several regions, the defined diets differed from the all-Russian ones. More favorable diet trends were observed among women, people with no family, people not working, and urban dwellers, and diet trends were more favorable with an increase in age, level of education, and material wealth. Thus, a posteriori DPs were defined for the Russian population, which were stable in sex/age groups and were mediated by the socio-demographic characteristics of the population.

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Section: Discussionmentioning

confidence: 64%

Section: Discussionmentioning

confidence: 99%

Sociodemographic and Regional Determinants of Dietary Patterns in Russia

Maksimov

Карамнова

Шальнова

et al. 2020

IJERPH

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“…After adjustment for confounders, for each point of increase in the MED adherence score, there was an increase of 1.17 points in the mental component value (p < 0.01). It is well documented that MDP is potentially able to protect against numerous chronic disease including cardiovascular events [57,58] metabolic syndrome [59] and diabetes [60]. Also, from mental component summary point of view, MED could potentially decrease the risk of depression [61] cognitive decline and dementia [62,63].…”

Section: Table 4 Newcastle-ottawa Quality Assessment Scale (Nos) For mentioning

confidence: 99%

A systematic review of the association between dietary patterns and health-related quality of life

Vajdi

Farhangi

2020

Health Qual Life Outcomes

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Background Health related quality of life (HRQOL) is a potent indicator of individual’s happiness and life satisfaction. The way in which the HRQOL is affected by the diet is a topic of constant interest and debate among researchers. Evaluating the association between single nutrients or foods and HRQOL fails to take into consideration the complex interactions between nutrients. Also, the findings from previous investigations on the relationship between dietary patterns and HRQOL have been inconsistent. Therefore, our aim was to assess the existing evidence regarding the relationship between the dietary patterns and HRQOL by conducting a systematic review. Methods A literature search was conducted in PubMed, Scopus, Web of Sciences and Google scholar databases from inception to March 2020, to identify studies that investigated associations between the dietary patterns (regardless of methods used to define dietary patterns) and HRQOL domains. Two researchers independently checked titles and abstracts, evaluated full-text studies, extracted data, and appraised their quality using the Newcastle–Ottawa Scale (NOS). Results Thirteen studies (four longitudinal, and nine cross-sectional studies), with a total of 43,445 subjects, were included. Of the studies included in this review, eight studies evaluated the association between "Mediterranean" dietary patterns (MDP) and HRQOL, while five studies examined the association between different dietary patterns ("Healthy", "Unhealthy", "Western", "Fruit and vegetable", "Bread and butter" and etc.) and HRQOL. Excluding three studies which showed no significant association, healthy dietary patterns such as MDP, "Healthy" and "Fruit and vegetable" dietary patterns were associated with better HRQOL in physical and mental components scores. The quality assessment of included studies according to NOS criteria were ranged between medium to high quality. Conclusion According to the current evidence, "Healthy" dietary patterns and “Mediterranean” dietary patterns are associated with better dimension scores of HRQOL in both physical and mental summaries. While, unhealthy dietary patterns and "Western" dietary patterns are associated with lower scores of HRQOL. Further longitudinal studies are required to clarify the association between dietary patterns and HRQOL

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“…To associate the MedDiet adherence scenarios (step 1) with the reduction in CVD incidence, step 2 of this model employed data from five cohorts studies (21, 26–29), reporting adjusted hazard ratios (HRs) or relative risks (RRs) with corresponding 95% confidence intervals (CIs) (Table 2). These studies estimated the CVD reduction that followed upward shifts in the MedDiet consumption levels, from lowest to medium and from medium to highest intakes.…”

Section: Methodsmentioning

confidence: 99%

Economic modeling for improved prediction of saving estimates in healthcare costs from consumption of healthy foods: the Mediterranean-style diet case study

Jones¹,

Abdullah²,

Wood³

et al. 2019

Food & Nutrition Research

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BackgroundBy design, existing scenario-based nutrition economics studies on the financial benefits of healthy dietary behaviors generally report uncertainty in inputs and wide ranges of outcome estimates.ObjectivesThis modeling exercise aimed to establish precision in prediction of the potential healthcare cost savings that would follow a reduction in the incidence of cardiovascular disease (CVD) consistent with an increase in adherence to a Mediterranean-style diet (MedDiet).DesignUsing a Monte Carlo simulation model on a cost-of-illness analysis assessing MedDiet adherence, CVD incidence reduction, and healthcare cost savings in the United States and Canada, short- and long-term cost savings that are likely to accrue to the American and Canadian healthcare systems were estimated using 20 and 80% increases in MedDiet adherence scenarios.ResultsIncreasing percentage of population adhering to a MedDiet by 20% beyond the current adherence level produced annual savings in CVD-related costs of US$8.2 billion (95% confidence interval [CI], $7.5–$8.8 billion) in the United States and Can$0.32 billion (95% CI, $0.29–$0.34 billion) in Canada. An 80% increase in adherence resulted in savings equal to US$31 billion (95% CI, $28.6–$33.3 billion) and Can$1.2 billion (95% CI, $1.11–$1.30 billion) in each respective country.ConclusionComputational techniques with stochastic parameter inputs, such as the Monte Carlo simulation, could be an effective way of incorporating variability of modeling parameters in nutrition economics studies for improved precision in estimating the monetary value of healthy eating habits.

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Dietary Patterns and Mediterranean Diet Score and Hazard of Recurrent Coronary Heart Disease Events and All‐Cause Mortality in the REGARDS Study

Cited by 32 publications

References 49 publications

Sociodemographic and Regional Determinants of Dietary Patterns in Russia

Sociodemographic and Regional Determinants of Dietary Patterns in Russia

A systematic review of the association between dietary patterns and health-related quality of life

Economic modeling for improved prediction of saving estimates in healthcare costs from consumption of healthy foods: the Mediterranean-style diet case study

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