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Impacts of fast food and the food retail environment on overweight and obesity in China: a multilevel latent class cluster approach

机译:快餐和食品零售环境对中国超重和肥胖的影响:多层次隐性群体聚类方法

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ObjectiveTo 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.DesignA 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, but also on the food retail environment at the community level.SettingThe data came from the China Health and Nutrition Survey (CHNS) conducted in 2006 and two questionnaires for adults and communities were used.SubjectsA total sample of 9788 adults living in 218 communities participated in the CHNS.ResultsWe successfully identified four consumer segments. These four segments were embedded in two types of food retail environment: the saturated food retail environment and the deprived food retail environment. A three-factor solution was found for consumersa€? dietary knowledge. The four consumer segments were highly associated with consumersa€? dietary knowledge and a number of sociodemographic variables.ConclusionsThe widespread discussion about the relationships between fast-food consumption and overweight/obesity is irrelevant for Chinese segments that do not have access to fast food. Factors that are most associated with segments with a higher BMI are consumersa€? (incorrect) dietary knowledge, the food retail environment and sociodemographics. The results provide valuable insight for policy interventions on reducing overweight/obesity in China. This study also indicates that despite the breathtaking changes in modern China, the impact of a€?obesogenica€? environments should not be assessed too strictly from a a€?Westerna€? perspective.
机译:目的基于个人水平的消费和社区水平的食品零售环境数据同时识别消费者细分,并调查这些细分是否与中国的BMI和饮食知识相关联。设计多层次隐性类聚类模型不仅用于基于消费者的识别他们对快餐,咸休闲食品,软饮料和含糖水果饮料的个人偏好,以及社区层面的食品零售环境。设置数据来自2006年进行的中国健康与营养调查(CHNS)和两次研究对象共计218个社区的9788名成年人参加了CHNS。结果我们成功地确定了四个消费群体。这四个部分嵌入了两种类型的食品零售环境:饱和食品零售环境和剥夺性食品零售环境。为消费者找到了三因素解决方案:饮食知识。四个消费群体与消费者高度相关。饮食知识和许多社会人口统计学变量。结论关于快餐消费与超重/肥胖之间关系的广泛讨论与无法获得快餐的中国人群无关。与BMI较高的细分受众群最相关的因素是消费者? (不正确的)饮食知识,食品零售环境和社会人口统计学。研究结果为减少中国超重/肥胖症的政策干预提供了宝贵的见识。这项研究还表明,尽管现代中国发生了惊人的变化,但致肥胖物的影响不应从“ Westerna”对环境进行过于严格的评估透视。

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