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01.12.2018 | Research article | Ausgabe 1/2018 Open Access

BMC Public Health 1/2018

Socio-demographic and lifestyle determinants of dietary patterns in French-speaking Switzerland, 2009–2012

Zeitschrift:
BMC Public Health > Ausgabe 1/2018
Autoren:
Pedro Marques-Vidal, Gérard Waeber, Peter Vollenweider, Idris Guessous
Wichtige Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1186/​s12889-018-5045-1) contains supplementary material, which is available to authorized users.

Abstract

Background

Food intake is a complex behaviour which can be assessed using dietary patterns. Our aim was to characterize dietary patterns and associated factors in French-speaking Switzerland.

Methods

Cross-sectional study conducted between 2009 and 2012 in the city of Lausanne, Switzerland, including 4372 participants (54% women, 57.3 ± 10.3 years). Food consumption was assessed using a validated food frequency questionnaire. Dietary patterns were assessed by principal components analysis.

Results

Three patterns were identified: “Meat & fries”; “Fruits & Vegetables” and “Fatty & sugary”. The “Meat & fries” pattern showed the strongest correlations with total and animal protein and cholesterol carbohydrates, dietary fibre and calcium. The “Fruits & Vegetables” pattern showed the strongest correlations with dietary fibre, carotene and vitamin D. The “Fatty & sugary” pattern showed the strongest correlations with total energy and saturated fat. On multivariate analysis, male gender, low educational level and sedentary status were positively associated with the “Meat & fries” and the “Fatty & sugary” patterns, and negatively associated with the “Fruits & Vegetables” pattern. Increasing age was inversely associated with the “Meat & fries” pattern; smoking status was inversely associated with the “Fruits & Vegetables” pattern. Being born in Portugal or Spain was positively associated with the “Meat & fries” and the “Fruits & Vegetables” patterns. Increasing body mass index was positively associated with the “Meat & fries” pattern and inversely associated with the “Fatty & sugary” pattern.

Conclusions

Three dietary patterns, one healthy and two unhealthy, were identified in the Swiss population. Several associated modifiable behaviours were identified; the information on socio- demographic determinants allows targeting of the most vulnerable groups in the context of public health interventions.
Zusatzmaterial
Additional file 1:Table S1. Food groups used to derive dietary patterns, CoLaus study, 2009–2012, Lausanne, Switzerland. Table S2. Comparison between excluded and included participants, CoLaus study, 2009–2012, Lausanne, Switzerland. Table S3. Pearson correlation coefficients and 95% confidence intervals between dietary patterns scores and daily intakes of selected macro- and micronutrients, 4372 participants of the CoLaus study, 2009–2012, Lausanne, Switzerland. Table S4. Multivariable analysis of the associations between personal and behavioural factors and dietary patterns scores, CoLaus study, 2009–2012, Lausanne, Switzerland. Table S5. Multivariable analysis of the associations between personal and behavioural factors and being in the highest quintile of the three dietary patterns identified, CoLaus study, 2009–2012, Lausanne, Switzerland. Participants without data for sedentary status (N = 436) excluded. Table S6. Multivariable analysis of the associations between personal and behavioural factors and dietary patterns scores, CoLaus study, 2009–2012, Lausanne, Switzerland. Participants without data for sedentary status (N = 436) excluded. Table S7. Multivariable analysis of the associations between personal and behavioural factors and being in the highest quintile of the three dietary patterns identified, CoLaus study, 2009–2012, Lausanne, Switzerland. Participants with extreme energy intakes (< 850 or > 4500 kcal/day, N = 162) excluded. Table S8. Multivariable analysis of the associations between personal and behavioural factors and dietary patterns scores, CoLaus study, 2009–2012, Lausanne, Switzerland. Participants with extreme energy intakes (< 850 or > 4500 kcal/day, N = 162) excluded. Table S9. Multivariable analysis of the associations between personal and behavioural factors and being in the highest quintile of the three dietary patterns identified, CoLaus study, 2009–2012, Lausanne, Switzerland. Participants with extreme energy intakes (< 850 or > 4500 kcal/day, N = 162) or without data for sedentary status (N = 411) excluded. Table S10. Multivariable analysis of the associations between personal and behavioural factors and dietary patterns scores, CoLaus study, 2009–2012, Lausanne, Switzerland. Participants with extreme energy intakes (< 850 or > 4500 kcal/day, N = 162) or without data for sedentary status (N = 411) excluded. (DOCX 50 kb)
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