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Ivo van der Lans

Biographic Data

ID6259950
NAMEIvo van der Lans
GIVEN NAMESIvo
FAMILY NAMEvan der Lans
SIGNATUREVAN DER LANS I
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS11
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2007
LATEST PUBLICATION YEAR2012
H-INDEX1
  • Impacts of fast food and the food retail environment on overweight and obesity in China

    Open Access•Xiaoyong Zhang, Ivo van der Lans et al.•ARTICLE•Public Health Nutrition•2012

    Objective To simultaneously identify consumer segments based on individual-level consumption and community-level food retail environment data and to investigate whether the segments are associated with BMI and dietary knowledge in China. Design A multilevel latent class cluster model was applied to identify consumer segments based not only on their individual preferences for fast food, salty snack foods, and soft drinks and sugared fruit drinks, …

  • Consumer responses to communication about food risk management

    Open Access•Heleen van Dijk, Julie Houghton et al.•ARTICLE•Appetite•2008•Cited by: 1•References: 39

  • Consumption and corpulence in China

    Open Access•Xiaoyong Zhang, Hans Dagevos et al.•ARTICLE•Food Policy•2007•Cited by: 10•References: 2

  • Consumption and corpulence in China

    Open Access•Xiaoyong Zhang, Hans Dagevos et al.•ARTICLE•Food Policy•2007•Cited by: 10•References: 2

  • Consumer responses to communication about food risk management

    Open Access•Heleen van Dijk, Julie Houghton et al.•ARTICLE•Appetite•2008•Cited by: 1•References: 39

  • Consumption and corpulence in China

    Open Access•Xiaoyong Zhang, Hans Dagevos et al.•ARTICLE•Food Policy•2007•Cited by: 10•References: 2

  • Consumer responses to communication about food risk management

    Open Access•Heleen van Dijk, Julie Houghton et al.•ARTICLE•Appetite•2008•Cited by: 1•References: 39

  • Impacts of fast food and the food retail environment on overweight and obesity in China

    Open Access•Xiaoyong Zhang, Ivo van der Lans et al.•ARTICLE•Public Health Nutrition•2012

    Objective To simultaneously identify consumer segments based on individual-level consumption and community-level food retail environment data and to investigate whether the segments are associated with BMI and dietary knowledge in China. Design A multilevel latent class cluster model was applied to identify consumer segments based not only on their individual preferences for fast food, salty snack foods, and soft drinks and sugared fruit drinks, …

Business (3 works) · Marketing (3 works) · Medicine (3 works) · China (2 works) · Consumption (sociology (2 works) · Culinary Culture and Tourism (2 works) · Environmental health (2 works) · Geography (2 works) · Obesity (2 works) · Obesity, Physical Activity, Diet (2 works)

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