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See detailAssociation of Dietary Patterns Derived Using Reduced-Rank Regression With Subclinical Cardiovascular Damage According to Generation and Sex in the STANISLAS Cohort
Wagner, Sandra; Lioret, Sandrine; Girerd, Nicolas et al

in Journal of the American Heart Association (2020)

Background-—The diet impact on cardiovascular diseases has been investigated widely, but the association between dietary patterns (DPs) and subclinical cardiovascular damage remains unclear. More ... [more ▼]

Background-—The diet impact on cardiovascular diseases has been investigated widely, but the association between dietary patterns (DPs) and subclinical cardiovascular damage remains unclear. More informative DPs could be provided by considering metabolic syndrome components as intermediate markers. This study aimed to identify DPs according to generation and sex using reduced-rank regression (RRR) with metabolic syndrome components as intermediate markers and assess their associations with intima-media thickness, left ventricular mass, and carotid-femoral pulse-wave velocity in an initially healthy population-based family study. Methods and Results-—This study included 1527 participants from the STANISLAS (Suivi Temporaire Annuel Non-Invasif de la Sant e des Lorrains Assur es Sociaux) cohort fourth examination. DPs were derived using reduced-rank regression according to generation (G1: age ≥50 years; G2: age <50 years) and sex. Associations between DPs and cardiovascular damage were analyzed using multivariable linear regression models. Although identified DPs were correlated between generations and sex, qualitative differences were observed: whereas only unhealthy DPs were found for both men generations, healthy DPs were identified in G2 (“fruity desserts”) and G1 (“fiber and w3 oil”) women. The “alcohol,”“fast food and alcohol,”“fried, processed, and dairy products,” and “meat, starch, sodas, and fat” DPs in G1 and G2 men and in G1 and G2 women, respectively, were associated with high left ventricular mass (b [95% CI], 0.23 [0.10–0.36], 0.76 [0.00–1.52], 1.71 [0.16–3.26], and 1.80 [0.45–3.14]). The “alcohol” DP in G1 men was positively associated with carotid-femoral pulse-wave velocity (0.22 [0.09–0.34]). Conclusions-—The DPs that explain the maximum variation in metabolic syndrome components had different associations with subclinical cardiovascular damage across generation and sex. Our results indicate that dietary recommendations should be tailored according to age and sex. [less ▲]

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See detailImportance des acides gras polyinsaturés oméga-3 durant la grossesse: mode ou réalité scientifique?
Hoge, Axelle ULiege; Nisolle, Michelle ULiege; Guillaume, Michèle ULiege et al

in Gunaïkeia. Société Royale Belge de Gynécologie et d'Obstétrique (2020), 25(2),

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See detailLa consommation d’alcool : de l’épidémiologie à la prévention
Streel, Sylvie ULiege; Silvestre, Aude ULiege; Hoge, Axelle ULiege et al

in Revue medicale de Liege (2019), 74(5-6), 241-247

The epidemiological data about alcohol consumption show that the current preventive measures have their limits. Worryingly, the morbidity and mortality associated remain significant in the world. Two main ... [more ▼]

The epidemiological data about alcohol consumption show that the current preventive measures have their limits. Worryingly, the morbidity and mortality associated remain significant in the world. Two main types of preventive approaches, based on individual affect exist: the negative approach based on fear and threat and the so-called Social Norm Approach (SNA). The last original and more positive approach has been used across the Atlantic for thirty years and shows to be efficient. It aims to reduce an individual's consumption of addictive substance by confronting his own social norm (what he thinks people drink, quantities generally overestimated) to the real norm of consumption by a reference social group. A cross-border project is currently evaluating the feasibility of this approach in the Euregio Meuse-Rhin.Les données épidémiologiques de la consommation d’alcool les plus récentes montrent que les mesures préventives actuelles connaissent leurs limites. De façon inquiétante, la morbidité et la mortalité qui lui sont associées restent importantes dans le monde. Deux grands types d’approches préventives ciblant directement les affects des individus existent : l’approche négative basée sur la peur et la menace et l’approche dite par la norme sociale (SNA pour Social Norm Approach). Cette dernière approche originale et plus positive de la santé est utilisée depuis une trentaine d’années outre-Atlantique et montre une certaine efficacité. Elle vise à réduire la consommation d’une substance addictive par un individu en confrontant sa norme sociale (ce qu’il pense que les gens boivent, quantités généralement surestimées) à la norme réelle de consommation du groupe social de référence. Un projet transfrontalier évalue actuellement la faisabilité de ce genre d’approche dans l’Eurégio Meuse-Rhin. [less ▲]

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See detailL’analyse des acides gras érythrocytaires maternels en début de grossesse révèle un faible index oméga-3
Hoge, Axelle ULiege; Bernardy, Florence; Donneau, Anne-Françoise ULiege et al

in Nutrition Clinique et Metabolisme (2018, December), 32(4),

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See detailLow omega-3 index values and monounsaturated fatty acid levels in early pregnancy: an analysis of maternal erythrocytes fatty acids
Hoge, Axelle ULiege; Bernardy, Florence; Donneau, Anne-Françoise ULiege et al

in Lipids in Health and Disease (2018), 17

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See detailStability-based validation of dietary patterns obtained by cluster analysis
Sauvageot, Nicolas ULiege; Schritz, Anna; Alkerwi, Ala'a et al

in Nutrition Journal (2017), 16(3),

Abstract Background Cluster analysis is a data-driven method used to create clusters of individuals sharing similar dietary habits. However, this method requires specific choices from the user which have ... [more ▼]

Abstract Background Cluster analysis is a data-driven method used to create clusters of individuals sharing similar dietary habits. However, this method requires specific choices from the user which have an influence on the results. Therefore, there is a need of an objective methodology helping researchers in their decisions during cluster analysis. The objective of this study was to use such a methodology based on stability of clustering solutions to select the most appropriate clustering method and number of clusters for describing dietary patterns in the NESCAV study (Nutrition, Environment and Cardiovascular Health), a large population-based cross-sectional study in the Greater Region (N = 2298). Methods Clustering solutions were obtained with K-means, K-medians and Ward’s method and a number of clusters varying from 2 to 6. Their stability was assessed with three indices: adjusted Rand index, Cramer’s V and misclassification rate. Results The most stable solution was obtained with K-means method and a number of clusters equal to 3. The “Convenient” cluster characterized by the consumption of convenient foods was the most prevalent with 46% of the population having this dietary behaviour. In addition, a “Prudent” and a “Non-Prudent” patterns associated respectively with healthy and non-healthy dietary habits were adopted by 25% and 29% of the population. The “Convenient” and “Non-Prudent” clusters were associated with higher cardiovascular risk whereas the “Prudent” pattern was associated with a decreased cardiovascular risk. Associations with others factors showed that the choice of a specific dietary pattern is part of a wider lifestyle profile. Conclusion This study is of interest for both researchers and public health professionals. From a methodological standpoint, we showed that using stability of clustering solutions could help researchers in their choices. From a public health perspective, this study showed the need of targeted health promotion campaigns describing the benefits of healthy dietary patterns. [less ▲]

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See detailScreening for the metabolic syndrome in subjects with migraine
Streel, Sylvie ULiege; Donneau, Anne-Françoise ULiege; Dardenne, Nadia ULiege et al

in Cephalalgia : An International Journal of Headache (2017)

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See detailPerspective: Essential Study Quality Descriptors for Data from Nutritional Epidemiologic Research
Yang, Chen; Pinart, Mariona; Kolsteren, Patrick et al

in Advances in Nutrition (2017)

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See detailUse of finite mixture models in dietary patterns analysis.
Sauvageot, Nicolas ULiege; Schritz, Anna; Leite, Sonia et al

Scientific conference (2016, September 29)

Background In recent years, the dietary pattern approach has been used extensively to describe overall eating profiles in populations. In the literature, dietary patterns are often computed by cluster ... [more ▼]

Background In recent years, the dietary pattern approach has been used extensively to describe overall eating profiles in populations. In the literature, dietary patterns are often computed by cluster analysis and principal component analysis (PCA). However, PCA does not create distinct groups of individuals with different dietary habits; moreover the choice of the clustering method and of the number of clusters in cluster analysis remains difficult. On the other hand, finite mixture models (FMM) do not have those limitations and have many other advantages. However, they have been rarely used in dietary pattern analysis. Objective The objective of this study was to use FMM to compute dietary patterns based on data from the NESCaV survey (Nutrition, Environment and Cardiovascular Health), a large population-based study carried out between 2007 and 2011among the Greater Region population (N=2298 subjects). Methods A 134-food frequency questionnaire was used to assess dietary intakes. The most appropriate parameterization of the covariance matrix and number of clusters was chosen on the basis of the Bayesian information criterion (BIC). Results Four dietary patterns were determined. A ”non-prudent” and a “prudent” patterns were characterized respectively by non-healthy and healthy food choices. A “breakfast/low alcohol” pattern was characterized by high intakes of food items usually consumed at breakfast. Finally, a “vegetables/dairy products/low carbohydrate” pattern was characterized by low intakes of carbohydrates but high intakes of vegetables, pulses, fruits, animal protein and fat mostly from dairy products. The “non-prudent” pattern was the most prevalent with 34% of the population assigned to this cluster. The “prudent”, “breakfast/low alcohol” and “vegetables/dairy products/low carbohydrate” patterns accounted respectively for 25%, 29% and 19% of the population, respectively. Women, older people and non-smokers followed the “prudent” and “breakfast/low alcohol”, whereas the “non-prudent” and “vegetables/dairy products/low carbohydrate” were more adopted by men and smokers. In addition, the “non-prudent” pattern was associated with higher cardiovascular risk. Conclusion FMM should be considered more often as they do not have limitations encountered with other methods and are not restrictive on cluster geometry. Moreover, this study highlights the need for targeted health promotion campaigns focussing on the benefits of healthy dietary patterns. [less ▲]

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