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Träfflista för sökning "LAR1:gu ;pers:(Thelle Dag 1942);pers:(Wolk Alicja)"

Sökning: LAR1:gu > Thelle Dag 1942 > Wolk Alicja

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1.
  • Wolk, Alicja, et al. (författare)
  • Eating patterns and portion size associated with obesity in a Swedish population.
  • 2009
  • Ingår i: Appetite. - 1095-8304. ; 52:1, s. 21-6
  • Tidskriftsartikel (refereegranskat)abstract
    • The objective of this study was to describe the association between meal pattern and obesity. The study is based on data from the INTERGENE research programme, and the study population consists of randomly selected women and men, aged 25-74, living in the V?stra G?taland Region in Sweden. A total of 3610 were examined. Participants with measured BMI>/=30 were compared with others (BMI<30) with respect to questionnaire data on habitual meal patterns and intake of energy estimated from food frequencies and standard portions. Odds ratios (OR) with 95% confidence intervals were adjusted for age, sex, smoking and physical activity in logistic regression models. Being obese was significantly associated with omitting breakfast, OR 1.41 (1.05-1.90), omitting lunch OR 1.31 (1.04-1.66) and eating at night OR 1.62 (1.10-2.39). Obesity was also related to significantly larger self-reported portion sizes of main meals. No statistically significant relationship with intake of total energy was revealed. Thus, the results indicate that examination of meal patterns and portion sizes might tell us more about obesogenic food patterns than traditional nutrient analyses of food frequencies. Being obese was associated with a meal pattern shifted to later in the day and significantly larger self-reported portions of main meals.
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2.
  • Wolk, Alicja, et al. (författare)
  • Food patterns and cardiovascular disease risk factors: the Swedish INTERGENE research program.
  • 2008
  • Ingår i: The American journal of clinical nutrition. - 0002-9165. ; 88:2, s. 289-97
  • Tidskriftsartikel (refereegranskat)abstract
    • 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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