• Linda Vinci, Jean-Philippe Krieger, Julia Braun, Giulia Pestoni, Nicole Bender, Sabine Rohrmann, David Faeh, and Kaspar Staub.
• Institute of Food, Nutrition and Health, ETH Zurich, Switzerland.
• Nutrition. 2019 Jun 1; 62: 177-185.

ObjectiveThe aim of this study was to identify and cluster potential sociodemographic and lifestyle determinants of excess weight (body mass index ≥ 25 kg/m2) in Switzerland.MethodsParticipants of the cross-sectional National Nutrition Survey menuCH (2014-2015, n = 2057) were categorized according to body mass index. Logistic regressions were conducted with sociodemographic (age, language region, education, household income, household status) and lifestyle factors (smoking, self-rated health status, physical activity, energy intake, Alternate Healthy Eating Index) to identify determinants of excess weight. Factorial analysis and clustering were applied to identify patterns among individuals with excess weight (n = 891).ResultsPoor or very poor self-rated health status and low levels of physical activity were associated with increased odds for obesity in men (odds ratio [OR] = 5.39 [95% confidence interval = 5.30-5.48], OR = 2.51 [2.14-2.95], respectively) and women (OR = 12.40 [11.59-13.26], OR = 4.83 [3.04-7.67], respectively). In both sexes, the Alternate Healthy Eating Index score was inversely associated with the probability of having obesity. Cluster analysis identified four distinct patterns: "young living with parents" (14.6%), "men with high educational level" (41.5%), "women living alone" (34.9%), and "low educational level and Italian language region" (9.0%).ConclusionsWe identified four discrete subgroups of individuals with excess weight who differed by sociodemographic and lifestyle factors. Such subgroups may prove useful for targeted public health interventions.Copyright © 2019 Elsevier Inc. All rights reserved.

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