scholarly journals Factors Affecting Salmon Preferences of Alaska Children and Their Parents

2016 ◽  
Vol 11 (12) ◽  
pp. 40
Author(s):  
Pei Xu ◽  
Quentin Fong ◽  
Kathryn Idzorek

<p><span lang="EN-US">This study taste tests three newly developed salmon recipes made from the low-grade Chum salmon and uses data collected from parents and students in Fairbanks, Alaska to understand: 1) factors to change the consumption preference of parents and their children’s salmon choice? 2) How different the opinions are from parents than their children in salmon consumption? And 3) how the new recipes are accepted and factors that affect the attitude to improve the recipes. Preliminary statistics and Probit results show that: 1) most students and parents thought the fish items were appealing and they were willing to taste the recipes. 2) According to the appearance and taste of the products, students rated the salmon burger as most preferred, followed by the salmon patty, and the salmon ball. And 3) Parents rated the three products in the same preference order, but their preference seems to be affected by good flavor, texture, and appropriate saltiness. Findings from this study provide insightful information to help school food service directors and parents understand factors to affect students’ salmon choice and to improve their salmon consumption.</span><!--EndFragment--> liability, assurance and empathy factors of service quality. The results of this study are only applicable to the Australian residential market and may not be universally applicable, which is considered a limitation.</p>

2020 ◽  
pp. 105984052092850
Author(s):  
Natoshia Askelson ◽  
Grace Ryan ◽  
Patrick Brady ◽  
Cristian L. Meier ◽  
Patti Delger ◽  
...  

The National School Lunch Program provides nutritious and inexpensive lunches, but low participation and food waste are challenges in many schools. Interventions aim to improve participation in the program, but little is known about how students’ perceptions affect their participation. This study explored how middle school students in a rural state perceive school food service staff, food served, and lunchroom atmosphere. An online survey was administered to middle school students at six schools participating in a larger lunchroom intervention. Mean perception scores were calculated for all measures. Multilevel logistic regression was used to examine the relationship between perceptions and consumption. Overall perceptions of staff, food, and atmosphere were positive, and students classified as school lunch eaters had more positive perceptions in all three areas than noneaters. Interventions to increase participation in school lunch programs and promote consumption of healthy food items should address multiple factors that contribute to school lunch participation.


2012 ◽  
Vol 1 (4) ◽  
pp. 21
Author(s):  
L.A. Carosielli ◽  
G. Carrabs ◽  
F. Faragò ◽  
R. Marrone ◽  
M.A. Micheli

2019 ◽  
Vol 32 ◽  
Author(s):  
Diogo Thimoteo da CUNHA ◽  
Ana Laura Benevenuto de AMORIM ◽  
Fernanda Helena Marrocos LEITE ◽  
Elke STEDEFELDT ◽  
Veridiana Vera de ROSSO ◽  
...  

ABSTRACT Objective We aimed to establish equations for dimensioning of the physical area and determining the required number of food handlers in food services of schools and to compare them with reference equations. Methods It was visited 44 municipalities located in the states of São Paulo (n=36) and Rio de Janeiro (n=8) between 2013 and 2014. The physical area for school food services was evaluated using a measuring tape. For all food services, we calculated the Maximum Attendance Capacity, which is the sum of small and large meals served during the busiest shift. A validated checklist was used to evaluate food safety practices. Linear regression models were developed to establish the proposed equations. Results In total, we evaluated 205 school units. Based on the data, the following equations were established: Equation A: area of production=15.22+(maximum attendance capacity×0.02), which estimates the minimum area needed for a school food service; and Equation B: the number of food handlers=2.17+(maximum attendance capacity×0.002), to determine the minimum number of food handlers needed. These equations were established based on school food services that presented adequate food safety practices (i.e., low health risk). Conclusion It was established new equations for calculating the size of the physical area for school food services and the required number of food handlers. These new equations can be used as a starting point in management planning of a school food service.


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