2015
DOI: 10.1159/000437393
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Sociodemographic and Behavioural Determinants of a Healthy Diet in Switzerland

Abstract: Background/Aims: The determinants of a healthy diet have not been studied in Switzerland. This study aimed at assessing the individual and behavioural factors associated with a healthy diet in a Swiss city. Methods: Cross-sectional, population-based study conducted between 2009 and 2013 (n = 4,439, 2,383 women, mean age 57.5 ± 10.3 years) in Lausanne. Food consumption was assessed using a validated food frequency questionnaire. Two Mediterranean diet scores (classic score and specific for Switzerland) and the … Show more

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Cited by 34 publications
(34 citation statements)
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“…First, the awareness of the logo and the support of the measure were more important in the younger part of the population. The higher impact on food choices reported by younger participants is particularly interesting to attenuate intergenerational differences as older people are known to be more interested in nutrition [43] and to have better-quality diets [46,47]. Modifying positively the earliest practices is particularly effective in public health as past-behaviors have the tendency to be strong predictor for future behaviors [48].…”
Section: Discussionmentioning
confidence: 99%
“…First, the awareness of the logo and the support of the measure were more important in the younger part of the population. The higher impact on food choices reported by younger participants is particularly interesting to attenuate intergenerational differences as older people are known to be more interested in nutrition [43] and to have better-quality diets [46,47]. Modifying positively the earliest practices is particularly effective in public health as past-behaviors have the tendency to be strong predictor for future behaviors [48].…”
Section: Discussionmentioning
confidence: 99%
“…Country of birth was categorized into 6 groups: Switzerland, the four most common countries (providing at least 100 participants) including France, Italy, Portugal and Spain, and other. Analysis according to country of birth was considered as important as a previous study showed considerable differences in dietary intake between these groups [ 14 ]. Smoking status was defined as never, former (irrespective of the time since quitting) and current (irrespective of the amount smoked).…”
Section: Methodsmentioning
confidence: 99%
“…Two models were used: (a) unadjusted or TEI-adjusted for nutrients; and (b) multivariable adjusted for age, smoking status, country of birth (dichotomized into Switzerland yes/no) and marital status, with a further adjustment on TEI for nutrients. Adjusting for age, smoking and marital status was considered as necessary as results from a study conducted in nearby Lausanne showed that these factors are associated with dietary intake [ 23 ]. As there were over 30 different countries of birth, it was decided not to split them, as this would lead to small sample sizes.…”
Section: Methodsmentioning
confidence: 99%