Your browser doesn't support javascript.
loading
Stability-based validation of dietary patterns obtained by cluster analysis.
Sauvageot, Nicolas; Schritz, Anna; Leite, Sonia; Alkerwi, Ala'a; Stranges, Saverio; Zannad, Faiez; Streel, Sylvie; Hoge, Axelle; Donneau, Anne-Françoise; Albert, Adelin; Guillaume, Michèle.
Affiliation
  • Sauvageot N; Luxembourg Institute of Health (LIH), CCMS (Competence center in methodology and statistics), 1A rue Thomas Edison, L-1445, Strassen, Luxembourg. nicolas.sauvageot@lih.lu.
  • Schritz A; Luxembourg Institute of Health (LIH), CCMS (Competence center in methodology and statistics), 1A rue Thomas Edison, L-1445, Strassen, Luxembourg.
  • Leite S; Ministry of Health, Luxembourg, Service épidémiologie & statistique, Allée Marconi, Villa Louvigny, L-2120, Luxembourg city, Luxembourg.
  • Alkerwi A; Luxembourg Institute of Health (LIH), CCMS (Competence center in methodology and statistics), 1A rue Thomas Edison, L-1445, Strassen, Luxembourg.
  • Stranges S; Luxembourg Institute of Health (LIH), CCMS (Competence center in methodology and statistics), 1A rue Thomas Edison, L-1445, Strassen, Luxembourg.
  • Zannad F; Département des maladies cardiovasculaires, Hypertension Unit, Centre Hospitalier Universitaire, 5, Rue du Morvan, 54500, Vandœuvre-lès-Nancy, France.
  • Streel S; Ecole de Santé Publique, Université de Liège, 7, Place du 20 Août, 4000, Liège, Belgium.
  • Hoge A; Ecole de Santé Publique, Université de Liège, 7, Place du 20 Août, 4000, Liège, Belgium.
  • Donneau AF; Ecole de Santé Publique, Université de Liège, 7, Place du 20 Août, 4000, Liège, Belgium.
  • Albert A; Ecole de Santé Publique, Université de Liège, 7, Place du 20 Août, 4000, Liège, Belgium.
  • Guillaume M; Ecole de Santé Publique, Université de Liège, 7, Place du 20 Août, 4000, Liège, Belgium.
Nutr J ; 16(1): 4, 2017 01 14.
Article in En | MEDLINE | ID: mdl-28088234
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.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cluster Analysis / Diet Type of study: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Aspects: Equity_inequality Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Nutr J Journal subject: CIENCIAS DA NUTRICAO Year: 2017 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cluster Analysis / Diet Type of study: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Aspects: Equity_inequality Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Nutr J Journal subject: CIENCIAS DA NUTRICAO Year: 2017 Document type: Article Affiliation country: Country of publication: