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Modeling Gender Differences in Healthy Eating Determinants for Persuasive Intervention Design

机译:用于说服性干预设计健康饮食决定因素的性别差异

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The onset of many health conditions, such as obesity and type 2 diabetes, can be prevented or at least delayed by adequate changes in diet. Various determinants of healthy eating - such as Weight Concern, Nutrition Knowledge, Concern for Disease, Social Influence, and Food Choice Motive - have been manipulated by persuasive technologies to motivate healthy eating behavior. However, the relative importance and the dynamic of interaction between the determinants of healthy behavior for males and females are still unknown. Understanding how the determinants vary across user groups is important, as it will help persuasive technology designers personalize their interventions to the target demographics, thereby increasing the effectiveness of the intervention. To investigate for possible variations in healthy eating determinants, we developed separate models of healthy eating determinants for males and females. The models, which are based on a quantitative study of 228 (124 males and 104 females) participants, reveal some similarities and differences in the interactions between the determinants of healthy eating behavior. Based on the result from our models, we highlight some gender-inclusive and gender-specific approaches to persuasive intervention design.
机译:许多健康状况的发作,例如肥胖症和2型糖尿病,可以预防或至少通过饮食的充分变化延迟。健康饮食的各种因素 - 诸如体重的关注,营养知识,关注疾病,社会影响,以及食品选择动机 - 已通过有说服力的技术来激励健康的饮食行为操纵。然而,男性和女性健康行为的决定因素之间的相对重要性和相互作用的动态仍然不为人知。了解决定员如何在用户群体中变化很重要,因为它将有助于有说服力的技术设计人员个性化他们的干预措施对目标人口统计数据,从而提高干预的有效性。为了调查健康饮食决定簇的可能变化,我们为男性和女性开发了单独的健康饮食决定簇模型。这些模型,这是基于对228(124男性和女性104)参加了定量研究,揭示了一些共性和健康饮食行为的决定因素之间的相互作用的差异。根据我们的模型结果,我们重点介绍一些性别包容性和性别的具体办法,以有说服力的干预设计。

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