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Dietary Patterns and Their Sociodemographic and Lifestyle Determinants in Switzerland: Results from the National Nutrition Survey menuCH.

  • Krieger JP Division of Chronic Disease Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84, 8001 Zurich, Switzerland. jean-philippe.krieger2@uzh.ch.
  • Pestoni G Division of Chronic Disease Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84, 8001 Zurich, Switzerland. giulia.pestoni@uzh.ch.
  • Cabaset S Division of Chronic Disease Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84, 8001 Zurich, Switzerland. sophie.cabaset@uzh.ch.
  • Brombach C Institute of Food and Beverage Innovation, Zurich University of Applied Sciences, Campus Reidbach, Einsiedlerstrasse 34, 8820 Waedenswil, Switzerland. broc@zhaw.ch.
  • Sych J Institute of Food and Beverage Innovation, Zurich University of Applied Sciences, Campus Reidbach, Einsiedlerstrasse 34, 8820 Waedenswil, Switzerland. sych@zhaw.ch.
  • Schader C Research Institute of Organic Agriculture (FiBL), Ackerstrasse 113, 5070 Frick, Switzerland. christian.schader@fibl.org.
  • Faeh D Division of Chronic Disease Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84, 8001 Zurich, Switzerland. david.faeh@uzh.ch.
  • Rohrmann S Division of Chronic Disease Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84, 8001 Zurich, Switzerland. sabine.rohrmann@uzh.ch.
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  • 2019-01-02
Published in:
  • Nutrients. - 2018
24-h recall
clustering
dietary survey
language region
multinomial logistic regression
Cross-Sectional Studies
Diet
Feeding Behavior
Humans
Life Style
Nutrition Surveys
Socioeconomic Factors
Switzerland
English From a public health perspective, determinants of diets are crucial to identify, but they remain unclear in Switzerland. Hence, we sought to define current dietary patterns and their sociodemographic and lifestyle determinants using the national nutrition survey menuCH (2014⁻2015, n = 2057). First, we applied multiple factorial analysis and hierarchical clustering on the energy-standardised daily consumption of 17 food categories. Four dietary patterns were identified ("Swiss traditional": high intakes of dairy products and chocolate, n = 744; "Western 1": soft drinks and meat, n = 383; "Western 2": alcohol, meat and starchy, n = 444; and "Prudent": n = 486). Second, we used multinomial logistic regression to examine the determinants of the four dietary patterns: ten sociodemographic or lifestyle factors (sex, age, body mass index, language region, nationality, marital status, income, physical activity, smoking status, and being on a weight-loss diet) were significantly associated with the dietary patterns. Notably, belonging to the French- and Italian-speaking regions of Switzerland increased the odds of following a "Prudent" diet (Odds ratio [95% confidence interval]: 1.92 [1.45⁻2.53] and 1.68 [0.98⁻2.90], respectively) compared to the German-speaking regions. Our findings highlight the influence of sociodemographic and lifestyle parameters on diet and the particularities of the language regions of Switzerland. These results provide the basis for public health interventions targeted for population subgroups.
Language
  • English
Open access status
gold
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Persistent URL
https://sonar.ch/global/documents/11702
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