2014
DOI: 10.1111/nyas.12595
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A nutrition/health mindset on commercial Big Data and drivers of food demand in modern and traditional systems

Abstract: Building greater reciprocity between traditional and modern food systems and better convergence of human and economic development outcomes may enable the production and consumption of accessible, affordable, and appealing nutritious food for all. Information being key to such transformations, this roadmap paper offers a strategy that capitalizes on Big Data and advanced analytics, setting the foundation for an integrative intersectoral knowledge platform to better inform and monitor behavioral change and ecosy… Show more

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Cited by 32 publications
(33 citation statements)
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References 133 publications
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“…The lack of main effect of marketing indicators on either food consumption measures contrasts with earlier work analyzing store sales data [69] showing that the same reinforcing marketing practices that increase sales of unhealthful food (namely soft drinks), when applied to healthful food (namely vegetables), were also successful in increasing their sales. Discount frequency results also contrast with findings from a recent study showing that the increase in sales associated with frequency of price discounts was largest for less healthy compared to healthier food categories [70].…”
Section: Discussioncontrasting
confidence: 86%
“…The lack of main effect of marketing indicators on either food consumption measures contrasts with earlier work analyzing store sales data [69] showing that the same reinforcing marketing practices that increase sales of unhealthful food (namely soft drinks), when applied to healthful food (namely vegetables), were also successful in increasing their sales. Discount frequency results also contrast with findings from a recent study showing that the increase in sales associated with frequency of price discounts was largest for less healthy compared to healthier food categories [70].…”
Section: Discussioncontrasting
confidence: 86%
“…Only one subdimension (Preparation), and 11 out of 45 items, were regarded as neither traditional nor modern. Within the subdimension of Ingredients, four out of 11 facets were classified as neither traditional nor modern in the present study (eating salt, fruit, fiber, and meat), although previous research suggests that salt consumption is traditional in Japan [ 4 , 5 ] and international research classifies meat consumption as modern [ 4 , 6 , 7 ] and fruit and fiber consumption as traditional [ 14 , 22 , 23 , 24 ]. Reasons for this might be that (1) international research suggests that high salt consumption is characteristic of modern eating behavior [ 15 , 26 ], yet salt consumption in Japan might not differ between traditional and modern eating, but instead, might be a marker of both; (2) items might have been formulated suboptimally—e.g., ‘fiber’ being hard for lay people to translate into specific foods; and (3) eating a little bit of meat might be traditional in Japan, but eating a lot of meat might be modern [ 4 ].…”
Section: Discussionmentioning
confidence: 67%
“…The roadmap paper by Dubé et al . proposes to capitalize on 21st‐century Big Data and advanced analytics, such as those used by Buckridge et al .…”
Section: Convergence In Metrics and Methodsmentioning
confidence: 99%