Literature DB >> 26578528

Mediterranean diet score and total and cardiovascular mortality in Eastern Europe: the HAPIEE study.

Denes Stefler1, Sofia Malyutina2, Ruzena Kubinova3, Andrzej Pajak4, Anne Peasey5, Hynek Pikhart5, Eric J Brunner5, Martin Bobak5.   

Abstract

PURPOSE: Mediterranean-type dietary pattern has been associated with lower risk of cardiovascular (CVD) and other chronic diseases, primarily in Southern European populations. We examined whether Mediterranean diet score (MDS) is associated with total, CVD, coronary heart disease (CHD) and stroke mortality in a prospective cohort study in three Eastern European populations.
METHODS: A total of 19,333 male and female participants of the Health Alcohol and Psychosocial factors in Eastern Europe (HAPIEE) study in the Czech Republic, Poland and the Russian Federation were included in the analysis. Diet was assessed by food frequency questionnaire, and MDS was derived from consumption of nine groups of food using absolute cut-offs. Mortality was ascertained by linkage with death registers.
RESULTS: Over the median follow-up time of 7 years, 1314 participants died. The proportion of participants with high adherence to Mediterranean diet was low (25 %). One standard deviation (SD) increase in the MDS (equivalent to 2.2 point increase in the score) was found to be inversely associated with death from all causes (HR, 95 % CI 0.93, 0.88-0.98) and CVD (0.90, 0.81-0.99) even after multivariable adjustment. Inverse but statistically not significant link was found for CHD (0.90, 0.78-1.03) and stroke (0.87, 0.71-1.07). The MDS effects were similar in each country cohort.
CONCLUSION: Higher adherence to the Mediterranean diet was associated with reduced risk of total and CVD deaths in these large Eastern European urban populations. The application of MDS with absolute cut-offs appears suitable for non-Mediterranean populations.

Entities:  

Keywords:  Diet; Eastern Europe; Mortality; Nutrition; Prevention

Mesh:

Year:  2015        PMID: 26578528      PMCID: PMC5290049          DOI: 10.1007/s00394-015-1092-x

Source DB:  PubMed          Journal:  Eur J Nutr        ISSN: 1436-6207            Impact factor:   5.614


Introduction

Mediterranean diet is the traditional eating pattern of populations around the Mediterranean Sea in Southern Europe [1]. It is usually characterized by high consumption of fruits, vegetables, legumes, cereals, fish and olive oil, low consumption of milk and meat and moderate intake of alcohol [2, 3]. Mediterranean diet has found to be protective against cardiovascular disease (CVD) and other chronic conditions in numerous observational epidemiological studies, as well as in primary and secondary prevention trials [4-6]. Mediterranean diet score (MDS), the indicator of adherence to the Mediterranean diet, based on consumption of selected foods, was first introduced by Trichopoulou in 1995 [7], and several modified versions of the original score have been developed since then [3]. The associations between MDS and mortality outcomes have been investigated primarily in Southern European countries and less frequently in non-Mediterranean populations. One small study (n = 411) in Eastern Europe among elderly people was inconclusive [8]. An important disadvantage of MDS definitions used previously is that component scores for diet composition are based on sample-specific cut-off values (usually sex-specific medians). Scoring can differ substantially between study samples and may not reflect meaningful differences between healthy and unhealthy food intakes [9]. In addition, relative cut-off points do not allow comparison of MDSs between populations. For these reasons, Sofi et al. developed a scoring system which uses absolute cut-off values determined by a review of food intake distributions in previous MDS studies [10]. This new MDS has the potential to overcome the limitations of previous versions of MDS, but it has not been tested in relation to disease outcomes. The aim of our study was to assess the association between the Mediterranean diet and total, CVD, coronary heart disease (CHD) and stroke mortality in large Eastern European populations using the MDS with absolute cut-off values as proposed [10].

Methods

Study design and subjects

We conducted a prospective cohort study based on the Health Alcohol and Psychosocial Factors in Eastern Europe (HAPIEE) project. The details, including the methods applied for dietary and mortality data collection, have been described previously [11-13]. Briefly, the baseline data collection took place between 2002 and 2005 in Krakow (Poland), Novosibirsk (Russia) and six cities in the Czech Republic. Overall, 28,945 middle-aged man and women were randomly selected from population/electoral registers (response rate 59 %). Participants completed a comprehensive questionnaire, provided blood sample and underwent a brief medical examination. All participants signed informed consent. The study protocols were approved by ethical committees at University College London and at each participating centre.

Dietary assessment

Dietary data were collected with semi-quantitative food frequency questionnaires (FFQs), covering 136, 148 and 147 food and drink items in the Czech, Polish and Russian cohorts, respectively. Using a nine-point scale, participants indicated how frequently a particular food or drink item was consumed over the previous 3 months. Daily intakes of the different food groups were calculated using the EFSA food classification system [14] and country-specific portion sizes, and the McCance and Widdowson Food Composition Database was used to calculate nutrient intake levels [15]. The relative validity of the FFQ data regarding fruit, vegetable and micronutrient intakes was assessed by estimating correlations with concentration biomarkers in a random sub-sample of study subjects. Pearson’s partial correlation coefficients between fruit intake and vitamin C and beta-carotene plasma concentrations in the pooled HAPIEE sample were 0.29 and 0.05, respectively. The correlation coefficients for vegetable intake were 0.11 and 0.17, respectively [13]. The MDS applied in this study followed the recommendations of Sofi et al [10] who defined absolute cut-off values for all MDS components and applied a three-tier scoring system with zero, one or two points given to participants for each component (Table 1). The component regarding olive oil usage had to be modified because the corresponding question in the FFQ did not allow distinction between occasional, frequent and regular users. We gave one point for this component to those participants who stated that they used olive oil for cooking, and zero point to those who reported to cook with any other type of oil. As a result, after adding up the individual component scores, overall MDS ranged from zero to 17.
Table 1

Scoring criteria of the MDS components and the percentage of participants with maximum MDS component scores

ComponentsScoring criteria of MDS components% of participants with maximuma component scores
CzechPolishRussianTotal
0 point1 point2 pointsMales (n = 2648)Females (n = 3319)Males (n = 3083)Females (n = 3460)Males (n = 3056)Females (n = 3767)Males (n = 8787)Females (n = 10,546)
Vegetables (g/day)<100100–250>25021.335.929.532.839.041.430.436.9
Fruits and nuts (g/day)<150150–300>30037.959.133.045.58.215.025.938.9
Legumes (g/week)<7070–140>14060.158.442.938.029.629.629.727.1
Cereals (g/day)<130130–195>19567.959.180.375.787.973.279.269.6
Fish (g/week)<100100–250>25034.131.142.633.036.933.138.032.4
Meat and meat products (g/day)>12080–120<8015.130.19.522.69.721.011.324.4
Dairy products (g/day)>270180–270<18055.940.346.834.352.749.051.641.4
Alcohol (g/day)>24<1212–2416.75.910.41.519.92.015.63.0
Olive oil usageNot used for cookingUsed for cooking5.66.041.740.00.30.316.415.1

aOne point for olive oil usage and two points for all other components

Scoring criteria of the MDS components and the percentage of participants with maximum MDS component scores aOne point for olive oil usage and two points for all other components

Mortality follow-up

Linkage with regional or national death registers was used to identify mortality in the sample. Deaths from CVD (ICD-9: 390–459; ICD-10: I00–I99), CHD (410–414; I20–I25) and stroke (430–438; I60–I69) were determined using the 9th and 10th revision of the International Classification of Diseases [16]. There were 70 individuals who died over the course of follow-up with unknown cause of death. These participants were included in the analysis if the outcome was total mortality, but excluded when the associations with CVD, CHD and stroke mortality outcomes were assessed.

Analytical sample

In order to avoid reverse causation, we excluded all subjects with prevalent CVD or diabetes at study baseline (n = 6525). Participants with missing follow-up data (n = 1048), missing FFQ data for more than 10 % of the listed items (n = 685), extreme energy intake reporters (basal metabolic rate vs. reported energy intake ratio in the top and bottom 1 % of the distribution) (n = 548) and those who stated that the FFQ was not representative to their diet (n = 806) were also omitted from the analysis. After these procedures, we included 19,333 participants in the study.

Multiple imputation of missing covariate data

A total of 3106 individuals (16 % of the analytical sample) had missing data on at least one of the following variables: marital status, smoking habits, alcohol intake, education, household amenities score, physical activity, BMI, vitamin supplement intake, mean arterial blood pressure, serum cholesterol level or olive oil usage. Missing at random assumption was considered reasonable because sensitivity analysis showed that “missingness” was significantly associated with several covariates and the results of the analysis on non-imputed data set, using listwise deletion technique, did not differ considerably from our main findings. Ten imputed data sets were created using the “mi impute chained” command in STATA v.13.1 [17, 18]. Age, sex, country cohort, follow-up time and all-cause mortality were applied as predictor variables.

Statistical analysis

Participants’ adherence to the Mediterranean diet was classified as low (0–7 points), moderate (8–10 points) and high (11–17 points) according to their MDS. These categories reflect similar fraction of the maximum score as those applied by Trichopoulou et al. [2] in the most commonly used scoring system with the maximum of nine points. The associations between the MDS and mortality outcomes were assessed using Cox proportional hazard models with MDS as both a categorical and a continuous variable. In the latter case, the associations of mortality risk with 1 SD increase in the MDS were calculated. One SD in the MDS was equal to 2.2 points in the pooled sample. Proportionality assumptions were tested with Schoenfeld residuals. The proportion of deaths which could be prevented if participants in the lowest two MDS categories increased their adherence to the Mediterranean diet one category upwards was calculated using a formula applied in previous studies [19] and modified for three exposure categories. Since the dietary assessment methods in the three cohorts were very similar and there was no interaction between MDS and cohort, sex or smoking status, the associations of MDS with mortality were estimated in the pooled sample (but cohort-specific results are presented in supplementary material). In multivariable models, the associations were adjusted for age, sex, cohort, education (primary or less, vocational, secondary, university), household amenities score (number of household amenities possessed; 0–5: low, 5–7: moderate, 8–12: high), marital status (married/cohabiting, single/divorced/widowed), smoking (non-, ex-, current smokers), physical activity (inactive, moderately active, active; based on cross-tabulating the sex-specific quartiles of leisure time physical activity expressed in MET hours/day with occupational activity categories) [20], total energy intake (MJ/day) and vitamin supplement intake (no intake, irregular intake—<3 times a week, regular intake—at least 3 times a week). In order to assess the impact of the individual components to the overall MDS, the associations between the MDS component scores and mortality outcomes were also calculated. Multivariable-adjusted HR per one-point increase in each component scores is presented. All statistical analyses were carried out using the 13.1 version of the statistical software STATA (StataCorp, Texas, USA).

Results

MDS components

The proportions of participants in the three cohorts who scored the maximum points for the various MDS components are shown in Table 1. While high proportion of participants scored maximum points for cereal intake in all three country cohorts, less than 25 % of all subject reached this “ideal intake” category regarding meat and alcohol intake and olive oil usage. Adequate intake of fruits and nuts and olive oil was especially rare among Russians. Although the proportion of participants with adequate vegetable, fruit and nut and meat consumption was higher in females than males, for all other MDS components, maximum score was more common in males.

MDS categories and bivariate results

Table 2 shows the distribution of the sample characteristics across the three MDS categories. Overall, 25 % of the participants had high (>10) MDS. The proportion of these high scorers was the largest in the Polish cohort and smallest among Russians.
Table 2

Characteristics of the study sample by MDS categories

MDS categories p value (trend)b
Low (0–7 points)Moderate (8–10 points)High (11–17 points)
Number of participantsa 479089414589
Cohorts
 Czech (%)26.128.036.8<0.001
 Polish (%)23.933.941.8<0.001
 Russian (%)50.038.121.5<0.001
Socio-demographic characteristics
 Mean age (SD), years56.9 (7.1)57.1 (7.0)56.7 (6.9)0.216
 Sex: females (%)49.855.858.5<0.001
 Marital status: married (%)73.875.477.1<0.001
 Education: primary or less (%)10.310.19.10.045
 Education: university (%)25.825.527.50.068
 Household amenities score: low (%)24.321.717.1<0.001
 Household amenities score: high (%)29.233.038.5<0.001
Lifestyle characteristics
 Mean energy intake (SD), MJ/day9.3 (3.1)9.7 (3.1)10.0 (3.1)<0.001
 Smoking: current smokers (%)33.730.027.2<0.001
 Physical activity: low (%)49.848.848.40.188
 Vitamin suppl. intake: regular (%)13.917.522.7<0.001
 Mean healthy diet indicator (SD)50.9 (8.4)54.9 (8.6)57.4 (8.8)<0.001
CVD risk factors
 Mean BMI (SD), kg/m2 27.8 (4.8)27.8 (4.7)27.7 (4.6)0.260
 BMI > 30 kg/m2 (%)28.928.227.10.042
 Mean arterial pressure (SD), mmHg105.3 (15.6)104.8 (15.0)104.2 (15.5)0.001
 Hypertensionc (%)46.647.145.10.148
 Mean total cholesterol (SD), mmol/l6.0 (1.2)6.0 (1.2)5.9 (1.2)<0.001
 Hypercholesterolemiad (%)76.576.875.90.507
Mortality outcomes
 All-cause, per 1000 person-years12.29.07.3<0.001
 CVD, per 1000 person-years4.33.31.9<0.001
 CHD, per 1000 person-years2.41.70.9<0.001
 Stroke, per 1000 person-years1.20.80.4<0.001

a Including participants with complete MDS data only

b p values were calculated by logistic or linear regression, applying covariates as outcome and MDS categories as continuously treated exposure variables

c Mean arterial pressure >110 mmHg or on antihypertensive medication

d Serum cholesterol level >5.2 mmol/l or on lipid-lowering medication

Characteristics of the study sample by MDS categories a Including participants with complete MDS data only b p values were calculated by logistic or linear regression, applying covariates as outcome and MDS categories as continuously treated exposure variables c Mean arterial pressure >110 mmHg or on antihypertensive medication d Serum cholesterol level >5.2 mmol/l or on lipid-lowering medication Female sex, married life, high household amenities score, high total energy and regular vitamin supplement intake were related to high MDS. The proportion of smokers was lower among those with high MDS, and not surprisingly, mean healthy diet indicator score (primarily a nutrient-based diet quality index) [13] increased sharply with increasing MDS. Mean arterial blood pressure and total cholesterol level were the lowest in the highest MDS category, and we found clear inverse trend of crude total and cause-specific mortality rates across MDS categories.

Cox regression results

The simple and multivariable-adjusted associations of MDS with total and cause-specific mortality outcomes in the pooled sample are shown in Table 3. In the multivariable-adjusted models, 1 SD (which equals to 2.2 points) increase in the MDS was significantly associated with reduced risk of total and CVD deaths even if all possible confounders were taken into account. The association with CHD and stroke mortality was also inverse but statistically non-significant. The preventable proportion of deaths was the highest for stroke mortality.
Table 3

Results of Cox regression analysis between MDS and mortality outcomes on the pooled sample

Cause of deathdead/n ModelMDS categoriesa PP (%)b Per 1SDc increase in MDS score
LowModerateHighTrend p value
HRHR(95 % CI)HR(95 % CI)HR(95 % CI) p value
Any-cause1314/19,333model11.00.79(0.70–0.90)0.72(0.62–0.85)<0.00111.20.87(0.82–0.92)<0.001
model21.00.85(0.75–0.96)0.85(0.73–1.00)0.0275.60.93(0.88–0.98)0.012
CVD438/19,263model11.00.87(0.70–1.07)0.64(0.48–0.86)0.00314.30.83(0.75–0.92)<0.001
model21.00.94(0.76–1.16)0.78(0.58–1.05)0.1188.10.90(0.81–0.99)0.036
CHD226/19,263model11.00.88(0.66–1.17)0.64(0.42–0.96)0.03814.30.82(0.71–0.94)0.004
model21.00.97(0.72–1.29)0.81(0.53–1.23)0.3766.80.90(0.78–1.03)0.132
Stroke109/19,263model11.00.86(0.57–1.30)0.64(0.35–1.16)0.14614.40.84(0.69–1.03)0.093
model21.00.88(0.58–1.34)0.71(0.39–1.30)0.27311.20.87(0.71–1.07)0.201

Model 1: adjusted for sex, age and cohort

Model 2: adjusted for sex, age, cohort, smoking, education, household amenities score, marital status, energy intake, physical activity and vitamin supplement intake

aAs in Table 2

bPreventable proportion of death if participants in the lowest two categories increased their adherence to Mediterranean diet one category upward

c1SD = 2.2 MDS points

Results of Cox regression analysis between MDS and mortality outcomes on the pooled sample Model 1: adjusted for sex, age and cohort Model 2: adjusted for sex, age, cohort, smoking, education, household amenities score, marital status, energy intake, physical activity and vitamin supplement intake aAs in Table 2 bPreventable proportion of death if participants in the lowest two categories increased their adherence to Mediterranean diet one category upward c1SD = 2.2 MDS points Country-specific analyses revealed inverse but not statistically significant associations between MDS and most mortality outcomes in individual cohorts (Table S1 in Online Resource). When the age- and sex-adjusted mortality differences between the Polish and Russian cohorts (the two cohorts with the highest and lowest adherence to the Mediterranean diet) were further adjusted for the MDS, HRs for total and CVD mortality rates reduced by 17.9 and 14.5 %, respectively (data not shown). We also examined the relationship between the original MDS based on sex-specific median cut-offs for component scores [2] and mortality outcomes (Table S2 in Online Resource). The results suggested somewhat weaker associations. The agreement between the two scores was moderate: Spearman’s correlation coefficient was 0.69, and the linear weighted kappa between the three MDS categories in each score was 0.50. When the MDS components were examined separately, mortality risks showed inverse tendencies with all components except for meat and olive oil (Table 4). However, most associations were not significant, which suggests that the MDS is a better predictor of mortality than the individual components.
Table 4

Results of the Cox regression analysis for the association between MDS component scores and mortality outcomes

ComponentsMortality outcomes
All-causeCVDCHDStroke
HRa (95 % CI)HRa (95 % CI)HRa 95 % CIHRa 95 % CI
Vegetables0.95(0.87–1.04)0.88(0.76–1.03)0.90(0.73–1.11)0.75(0.55–1.03)
Fruits and nuts0.97(0.90–1.05)0.82(0.71–0.95)0.87(0.70–1.07)0.68(0.50–0.94)
Legumes0.95(0.89–1.01)0.96(0.86–1.08)1.04(0.89–1.22)0.84(0.66–1.05)
Cereals0.91(0.82–1.00)0.94(0.79–1.12)0.90(0.70–1.16)1.13(0.76–1.66)
Fish0.95(0.88–1.03)0.96(0.83–1.10)0.87(0.72–1.05)1.12(0.85–1.49)
Meat and meat products1.00(0.93–1.09)1.07(0.93–1.22)1.02(0.84–1.23)1.25(0.95–1.62)
Dairy products0.98(0.92–1.05)0.97(0.86–1.09)0.98(0.83–1.16)0.92(0.73–1.16)
Alcohol0.90(0.80–1.00)0.89(0.74–1.07)0.82(0.64–1.05)0.86(0.58–1.28)
Olive oil usage1.11(0.92–1.34)1.07(0.73–1.55)1.23(0.71–2.16)1.58(0.72–3.50)

aPer one-point increase in the component score; all HRs are adjusted for age, sex, cohort, education, marital status, household amenities score, smoking, physical activity, total energy intake and vitamin supplement intake

Results of the Cox regression analysis for the association between MDS component scores and mortality outcomes aPer one-point increase in the component score; all HRs are adjusted for age, sex, cohort, education, marital status, household amenities score, smoking, physical activity, total energy intake and vitamin supplement intake

Discussion

Main findings

This study in three large urban population samples in Central and Eastern Europe and the former Soviet Union found statistically significant inverse associations between Mediterranean diet score and total and CVD mortality. Using a MDS with absolute cut-off values for component scores, we also found that high adherence to Mediterranean diet, an indicator of healthy eating habits, in this Eastern European sample was rare.

Limitations and strengths of the study

Several limitations need to be taken into account when the results are interpreted. First, the moderate response rates and the fact that cohorts were restricted to urban settings limit the generalizability of our findings and introduce selection bias. Although mortality rates in the three country cohorts were similar to national-level data [21], dietary habits of the study samples might differ from the Czech, Polish and Russian general populations. For example, previous study suggests that inadequate fruit and vegetable intake is probably more common in rural FSU populations than in those who live in cities [22]. The lack of national representativeness, however, does not affect the internal validity of the findings regarding the association between MDS and mortality. The second limitation of the study is related to measurement error of dietary intakes and the disadvantages of FFQ [23, 24]. It is likely that the consumption of some foods was over- (i.e. fruits and nuts, vegetables) or underestimated (i.e. alcohol); consequently, the estimated MDS of participants may be imprecise. However, this issue is common to the majority of nutritional epidemiological studies which use an FFQ for dietary assessment. The relative validity of FFQ data in HAPIEE study regarding the intakes of fruits, vegetables and selected micronutrients has been assessed previously using plasma biomarkers, indicating satisfactory correlations [13]. Finally, due to differences in the composition of food groups, food preparation techniques and meal patterns, MDS might have important limitations in measuring the adherence to the exact Mediterranean-style diet in non-Mediterranean population samples [25]. These issues will need to be taken into account in future attempts to assess more precisely the extent to which the Mediterranean-style diet is followed by non-Mediterranean populations. On the other hand, the prospective study design and the large sample size are important strengths of this analysis. No previous study on this scale has examined the association between MDS and mortality in Central and Eastern Europe or the Former Soviet Union, and this is the first study that applied the MDS with absolute cut-offs, developed by Sofi et al. [10], for such assessment in any population.

Results in context

The findings of this study are consistent with previous evidence which suggests that Mediterranean diet reduces the risk of CVD and total mortality [2, 5, 26]. Our results also indicate that the literature-based MDS developed by Sofi and colleagues is a good indicator of healthy diet and predicts mortality outcomes well. In a previous analysis, we found that the healthy diet indicator (HDI), a diet quality score that measures the adherence to the World Health Organization’s dietary guidelines, also performed reasonably well in predicting CVD and CHD mortality in the same HAPIEE cohorts [13]. While both analyses suggest that unhealthy diet is an important risk factor for CVD mortality in Eastern European populations, in contrast to HDI, MDS is a food-based score which makes the current results easier to translate into public health recommendations. Previous analysis of the Polish arm of the HAPIEE study also found lower risk of metabolic syndrome in individuals with high adherence to the Mediterranean diet [27], which suggests that the protective effect is at least partly mediated by the favourable metabolic profile. The MDS with absolute cut-offs appears to be suitable to assess the participants’ adherence to the Mediterranean diet. Although there have been earlier attempts to compile MDS with absolute cut-offs [28, 29], no previous scoring systems have been constructed on such a sound evidence base as the one proposed by Sofi et al. [10]. The fact that one quarter of the pooled study sample scored more than ten points (about 60 % of the maximum score) suggests that the adherence to the Mediterranean diet in the these Eastern European cohorts was low, and among the three cohorts, dietary habits of Russians were the furthest from this pattern. This is not unexpected; however, estimation of this MDS in population samples from other countries or regions and comparison with our results is necessary to test the hypothesis that the adherence to Mediterranean diet in Eastern Europe is indeed lower than other populations. Correlations between different versions of MDS have been reported to be weak to moderate [30]. In this light, the moderate agreement between the “traditional” MDS and the literature-based adherence score by Sofi et al., found in our study, was satisfactory, given the different cut-off values of component scores and also the arbitrary thresholds of the low, moderate and high scoring categories. The differences might be also partly due to the component which differed between the two scores (olive oil usage vs. unsaturated/saturated fatty acid ratio). Most effect estimates were stronger with the version using absolute cut-offs. The larger variation between individual MDSs, which is the result of the three-tier scoring system, is probably one of the primary reasons for this difference. It has long been assumed that diet made important contribution to the high total and cardiovascular mortality in Eastern Europe, but it has been difficult to identify specific dietary factors responsible for this contribution. This study suggests that dietary patterns, as approximated by the MDS, are consistently associated with mortality outcomes and may well provide at least partial explanation for the contribution of nutrition to health status in the region. Below is the link to the electronic supplementary material. Supplementary material 1 (PDF 279 kb)
  25 in total

1.  Is it time to abandon the food frequency questionnaire?

Authors:  Alan R Kristal; Ulrike Peters; John D Potter
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-12       Impact factor: 4.254

2.  Multiple imputation of discrete and continuous data by fully conditional specification.

Authors:  Stef van Buuren
Journal:  Stat Methods Med Res       Date:  2007-06       Impact factor: 3.021

3.  Changing patterns of fruit and vegetable intake in countries of the former Soviet Union.

Authors:  Sarah Krull Abe; Andrew Stickley; Bayard Roberts; Erica Richardson; Pamela Abbott; David Rotman; Martin McKee
Journal:  Public Health Nutr       Date:  2013-05-23       Impact factor: 4.022

Review 4.  Evaluating and adapting the Mediterranean diet for non-Mediterranean populations: a critical appraisal.

Authors:  Richard Hoffman; Mariette Gerber
Journal:  Nutr Rev       Date:  2013-08-01       Impact factor: 7.110

5.  Primary prevention of cardiovascular disease with a Mediterranean diet.

Authors:  Ramón Estruch; Emilio Ros; Jordi Salas-Salvadó; Maria-Isabel Covas; Dolores Corella; Fernando Arós; Enrique Gómez-Gracia; Valentina Ruiz-Gutiérrez; Miquel Fiol; José Lapetra; Rosa Maria Lamuela-Raventos; Lluís Serra-Majem; Xavier Pintó; Josep Basora; Miguel Angel Muñoz; José V Sorlí; José Alfredo Martínez; Miguel Angel Martínez-González
Journal:  N Engl J Med       Date:  2013-02-25       Impact factor: 91.245

6.  Mediterranean diet and mortality in Switzerland: an alpine paradox?

Authors:  Kerstin Vormund; Julia Braun; Sabine Rohrmann; Matthias Bopp; Peter Ballmer; David Faeh
Journal:  Eur J Nutr       Date:  2014-04-08       Impact factor: 5.614

7.  Determinants of cardiovascular disease and other non-communicable diseases in Central and Eastern Europe: rationale and design of the HAPIEE study.

Authors:  Anne Peasey; Martin Bobak; Ruzena Kubinova; Sofia Malyutina; Andrzej Pajak; Abdonas Tamosiunas; Hynek Pikhart; Amanda Nicholson; Michael Marmot
Journal:  BMC Public Health       Date:  2006-10-18       Impact factor: 3.295

8.  A Mediterranean-type diet is associated with better metabolic profile in urban Polish adults: Results from the HAPIEE study.

Authors:  Giuseppe Grosso; Urszula Stepaniak; Agnieszka Micek; Roman Topor-Mądry; Denes Stefler; Krystyna Szafraniec; Martin Bobak; Andrzej Pająk
Journal:  Metabolism       Date:  2015-02-25       Impact factor: 8.694

9.  Dietary habits in three Central and Eastern European countries: the HAPIEE study.

Authors:  Sinéad Boylan; Ailsa Welch; Hynek Pikhart; Sofia Malyutina; Andrzej Pajak; Ruzena Kubinova; Oksana Bragina; Galina Simonova; Urszula Stepaniak; Aleksandra Gilis-Januszewska; Lubomíra Milla; Anne Peasey; Michael Marmot; Martin Bobak
Journal:  BMC Public Health       Date:  2009-12-01       Impact factor: 3.295

Review 10.  Adherence to Mediterranean diet and health status: meta-analysis.

Authors:  Francesco Sofi; Francesca Cesari; Rosanna Abbate; Gian Franco Gensini; Alessandro Casini
Journal:  BMJ       Date:  2008-09-11
View more
  28 in total

1.  Adherence to the Mediterranean Diet in Relation to All-Cause Mortality: A Systematic Review and Dose-Response Meta-Analysis of Prospective Cohort Studies.

Authors:  Sepideh Soltani; Ahmad Jayedi; Sakineh Shab-Bidar; Nerea Becerra-Tomás; Jordi Salas-Salvadó
Journal:  Adv Nutr       Date:  2019-11-01       Impact factor: 8.701

2.  Association of a traditional Mediterranean diet and non-Mediterranean dietary scores with all-cause and cause-specific mortality: prospective findings from the Moli-sani Study.

Authors:  Marialaura Bonaccio; Augusto Di Castelnuovo; Simona Costanzo; Amalia De Curtis; Mariarosaria Persichillo; Chiara Cerletti; Maria Benedetta Donati; Giovanni de Gaetano; Licia Iacoviello
Journal:  Eur J Nutr       Date:  2020-05-21       Impact factor: 5.614

Review 3.  Mediterranean diet and life expectancy; beyond olive oil, fruits, and vegetables.

Authors:  Miguel A Martinez-Gonzalez; Nerea Martin-Calvo
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2016-11       Impact factor: 4.294

4.  Only virgin type of olive oil consumption reduces the risk of mortality. Results from a Mediterranean population-based cohort.

Authors:  Carolina Donat-Vargas; Esther Lopez-Garcia; José R Banegas; Miguel Á Martínez-González; Fernando Rodríguez-Artalejo; Pilar Guallar-Castillón
Journal:  Eur J Clin Nutr       Date:  2022-10-14       Impact factor: 4.884

5.  The Impact of Dietary Factors on Indices of Chronic Disease in Older People: A Systematic Review.

Authors:  C A Nowson; C Service; J Appleton; J A Grieger
Journal:  J Nutr Health Aging       Date:  2018       Impact factor: 4.075

6.  Adherence to the Mediterranean diet and risk of stroke and stroke subtypes.

Authors:  Guo-Chong Chen; Nithya Neelakantan; Nerea Martín-Calvo; Woon-Puay Koh; Jian-Min Yuan; Marialaura Bonaccio; Licia Iacoviello; Miguel A Martínez-González; Li-Qiang Qin; Rob M van Dam
Journal:  Eur J Epidemiol       Date:  2019-03-02       Impact factor: 8.082

7.  The Healthy Taiwanese Eating Approach is inversely associated with all-cause and cause-specific mortality: A prospective study on the Nutrition and Health Survey in Taiwan, 1993-1996.

Authors:  Shao-Yuan Chuang; Hsing-Yi Chang; Hsin-Ling Fang; Shu-Chen Lee; Yueh-Ying Hsu; Wen-Ting Yeh; Wen-Ling Liu; Wen-Harn Pan
Journal:  PLoS One       Date:  2021-05-06       Impact factor: 3.240

Review 8.  The Deep Correlation between Energy Metabolism and Reproduction: A View on the Effects of Nutrition for Women Fertility.

Authors:  Roberta Fontana; Sara Della Torre
Journal:  Nutrients       Date:  2016-02-11       Impact factor: 5.717

9.  Colonic Saturated Fatty Acid Concentrations and Expression of COX-1, but not Diet, Predict Prostaglandin E2 in Normal Human Colon Tissue.

Authors:  ElKhansa Sidahmed; Ananda Sen; Jianwei Ren; Arsh Patel; D Kim Turgeon; Mack T Ruffin; Dean E Brenner; Zora Djuric
Journal:  Nutr Cancer       Date:  2016-08-22       Impact factor: 2.900

10.  Prospective association of the Mediterranean diet with cardiovascular disease incidence and mortality and its population impact in a non-Mediterranean population: the EPIC-Norfolk study.

Authors:  Tammy Y N Tong; Nicholas J Wareham; Kay-Tee Khaw; Fumiaki Imamura; Nita G Forouhi
Journal:  BMC Med       Date:  2016-09-29       Impact factor: 8.775

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.