干旱区生态环境知识资源中心(Arid): Agent-based modeling insights into the optimal distribution of the Fresh Fruit and Vegetable Program

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DOI	10.1016/j.pmedr.2020.101173
	Agent-based modeling insights into the optimal distribution of the Fresh Fruit and Vegetable Program
	Schauder, Stephanie; Thomsen, Michael R.; Nayga, Rodolfo M., Jr.
通讯作者	Schauder, S (corresponding author), Cornell Univ, Uris 429, Ithaca, NY 14853 USA.
来源期刊	PREVENTIVE MEDICINE REPORTS
EISSN	2211-3355
出版年	2020
卷号	20
英文摘要	The Fresh Fruit and Vegetable Program (FFVP) program provides a free fresh fruit or vegetable snack to children in low-income schools between two and five times a week. This is an important nationwide program, but current funding levels are insufficient to reach all eligible schools. Thus, there is a need to develop insight on contextual factors that may impact the effectiveness of FFVP in facilitating the development of childhood food preferences. An agent-based model of preference formation is used to understand how exposure to FFVP in early elementary school may affect preferences for healthy food by 6th grade. Preferences are modeled using the temporal difference learning algorithm used by Hammond et al. (2012). This model simulates habit formation in the context of food by modeling preference formation in terms of positive or negative feedback about the food most recently consumed. The model is designed to provide insights into how different patterns of exposure to FFVP affect preferences, and how living in a food desert changes the effect of FFVP. We use data on 35,981 students from Arkansas elementary schools (from 2008 to 2016) and information about the commercial food environment in Arkansas communities to populate the model. We find that early FFVP exposure is more beneficial than late exposure conditional on the number of years exposed. We also find that FFVP is more beneficial for children who grow up in environments lacking healthy food.
英文关键词	Food Preferences Fruit Vegetables Computer Simulation Government Programs Resource Allocation Pediatric Obesity Appetite Regulation
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000645566100008
WOS关键词	HEALTHY FOOD PREFERENCES ; REPEATED EXPOSURE ; ACCEPTANCE ; BENEFITS ; BARRIERS ; CHILDREN ; IMPROVE
WOS类目	Public, Environmental & Occupational Health
WOS研究方向	Public, Environmental & Occupational Health
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/349134
作者单位	[Schauder, Stephanie] Cornell Univ, Dept Econ, Uris 429, Ithaca, NY 14853 USA; [Thomsen, Michael R.] Univ Arkansas, Dept Agr Econ & Agribusiness, Div Agr, Agr Bldg 226, Fayetteville, AR 72701 USA; [Nayga, Rodolfo M., Jr.] Univ Arkansas, Dept Agr Econ & Agribusiness, Food Policy Econ, Div Agr, Agr Bldg 217, Fayetteville, AR 72701 USA
推荐引用方式 GB/T 7714	Schauder, Stephanie,Thomsen, Michael R.,Nayga, Rodolfo M., Jr.. Agent-based modeling insights into the optimal distribution of the Fresh Fruit and Vegetable Program[J],2020,20.
APA	Schauder, Stephanie,Thomsen, Michael R.,&Nayga, Rodolfo M., Jr..(2020).Agent-based modeling insights into the optimal distribution of the Fresh Fruit and Vegetable Program.PREVENTIVE MEDICINE REPORTS,20.
MLA	Schauder, Stephanie,et al."Agent-based modeling insights into the optimal distribution of the Fresh Fruit and Vegetable Program".PREVENTIVE MEDICINE REPORTS 20(2020).