Evaluation of dietary quality in relationship to nutritional and lifestyle factors in elderly people of the US Framingham Heart Study and the European SENECA study.

Auteur(s) :
Tucker KL., Van Staveren WA., Wilson PWF., de Groot LCPGM., Haveman-Nies A.
Date :
Oct, 2001
Source(s) :
European journal of clinical nutrition. #55:10 p870-880
Adresse :

Sommaire de l'article

To evaluate dietary quality of European and American elderly subjects using different derivatives of dietary patterns (dietary scores and clusters) and to investigate the relationship of these approaches to nutritional and lifestyle factors.

Data from the cross-sectional SENECA baseline study and Framingham Heart Study (original cohort and offspring) were used for data analysis. Food intake data were summarised into dietary clusters and into dietary scores (Healthy Diet Indicator and Mediterranean Diet Score). These measures of dietary quality were then tested for associations with lifestyle factors and measures of nutritional status.

The study population, aged 70-77 y, consisted of 828 subjects from Framingham, MA (USA) and 1282 subjects from the following European centres: Hamme, Belgium; Roskilde, Denmark; Padua, Italy; Culemborg, The Netherlands; Vila Franca de Xira, Portugal; Betanzos, Spain; and Yverdon, Burgdorf and Bellinzona, Switzerland.

Dietary intake varied widely across the European and American research centres. In general, Southern European centres and Framingham had higher mean diet scores, indicating a higher dietary quality, than Northern European centres (MD-scores: 4.2-4.4 vs 2.7-3.5). Cluster analysis identified the following five dietary patterns characterised by: (1) sugar and sugar products; (2) fish and grain; (3) meat, eggs and fat; (4) milk and fruit; and (5) alcohol intake. The meat, eggs and fat pattern had significantly lower average dietary quality, as measured with all three diet scores than all other groups except the alcohol group. The fish and grain group had significantly better Mediterranean diet scores than all other groups.

Dietary scores and dietary clusters are complementary measures to classify dietary quality. The associations with nutritional and lifestyle factors indicate the adequate categorisation into dietary quality groups.

European Union, US Department of Agriculture, Agriculture Research Service, under agreement (58-1950-9-001), Haak Bastiaanse-Kuneman Foundation.

Source : Pubmed