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Food patterns and cardiovascular disease risk factors: the Swedish INTERGENE research program.

Artikel i vetenskaplig tidskrift
Författare Christina Berg
Georg Lappas
Elisabeth Strandhagen
Alicja Wolk
Kjell Torén
Annika Rosengren
Nibia Aires
Dag Thelle
Lauren Lissner
Publicerad i The American journal of clinical nutrition
Volym 88
Nummer/häfte 2
Sidor 289-97
ISSN 0002-9165
Publiceringsår 2008
Publicerad vid Institutionen för mat, hälsa och miljö
Institutionen för medicin, avdelningen för samhällsmedicin och folkhälsa
Institutionen för medicin, avdelningen för akut och kardiovaskulär medicin
Institutionen för medicin, avdelningen för invärtesmedicin
Sidor 289-97
Språk en
Länkar www.ncbi.nlm.nih.gov/entrez/query.f...
Ämnesord dietary patterns, food habits, metabolic syndrome, obesity, kostmönster, matvanor, metabola syndromet, fetma
Ämneskategorier Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Hushålls- och kostvetenskap

Sammanfattning

BACKGROUND: Analyzing the impact of the intake of many foods simultaneously provides additional knowledge about analyses of nutrients and might make it easier to implement recommendations for the public. OBJECTIVE: The objective was to examine food patterns in a Swedish population and determine how they are related to metabolic risk factors for cardiovascular disease. DESIGN: The study is based on data from the INTERGENE population study of women and men aged 25-74 y in western Sweden. Dietary patterns were identified with cluster analysis of 93 food frequencies reported by 3452 participants. Associations with features of the metabolic syndrome, including blood lipids, blood pressure, and anthropometric measures, were analyzed. RESULTS: Five distinct food patterns were identified, of which one was interpreted as a "healthy" reference pattern. This healthy cluster was distinguished by more frequent consumption of high-fiber and low-fat foods and lower consumption of products rich in fat and sugar. The 4 other clusters differed significantly from the reference cluster with respect to prevalence of cardiovascular disease risk factors and the metabolic syndrome. For example, body mass index and waist-to-hip ratio were significantly higher in a cluster characterized by high consumption of energy-dense drinks and white bread and low consumption of fruit and vegetables (P < 0.0001 and P = 0.004, respectively). CONCLUSIONS: It is possible to distinguish food patterns that are related to obesity and obesity-related cardiovascular disease risk factors in contrast with a more healthy pattern conforming with current dietary guidelines. Thus, the results indicate no reason for questioning the current recommendations.

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