Aiming for better use of convenience food: an analysis based on meal production functions at home
Background: In recent years, the evaluation of convenience food has changed. It came to be considered not to have a negative effect on health and is now positioned as a tool to support dietary habits of elderly and other people. In advanced countries where the population is aging, convenience foods...
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Veröffentlicht in: | Journal of health, population and nutrition population and nutrition, 2020-02, Vol.39 (1), p.3-3, Article 3 |
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Sprache: | eng |
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Zusammenfassung: | Background: In recent years, the evaluation of convenience food has
changed. It came to be considered not to have a negative effect on
health and is now positioned as a tool to support dietary habits of
elderly and other people. In advanced countries where the population is
aging, convenience foods are expected to improve the eating habits of
the elderly. Methods: We defined the indicators of cooking effort and
usage intensity of convenience food and presented a model wherein a
"meal" is home-produced. In the model, a home cook decides
the optimal cooking effort to apply for a given usage intensity of
convenience food. Using an empirical form of the proposed model, we
performed a multiple regression analysis and calculated "the
elasticity of cooking effort with respect to the usage intensity of
convenience food" for home cooks, with each attribute defined by
a combination of different personality and demographic factors, using
the estimated coefficients. Results: Regression analysis results
revealed a negative correlation between cooking effort and the usage
intensity of convenience food, which is consistent with our theoretical
model of home meal production. The results showed that home cooks who
have special food preferences may not be satisfied with accepting
convenience foods purchased from the market as they are and that these
home cooks will require a higher cooking effort to obtain higher
satisfaction. The elasticity of elderly home cooks was low, implying
that they are not flexible enough to accept convenience food.
Conclusions: The results revealed that existing convenience foods do
not have the same impact on home cooks with attributes. This problem
can be solved with smart food systems that utilize information and
communication technology, which allow home cooks to explore information
on convenience foods that match their preferences and enable food
providers to offer food that matches the specific tastes of home cooks.
The regression results suggest this possibility. |
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ISSN: | 1606-0997 2072-1315 2072-1315 |
DOI: | 10.1186/s41043-020-0211-3 |