An Exploratory Analysis of Fast-food Chain Restaurant Menus Before and After Local Calorie Labeling Policies, 2005-2011

2021 ◽  
Author(s):  
Alexa Namba
2020 ◽  
Vol 117 ◽  
pp. 346-356 ◽  
Author(s):  
Pankaj C. Patel ◽  
Elisabeth M. Struckell ◽  
Divesh Ojha

2020 ◽  
Vol 124 (9) ◽  
pp. 979-987 ◽  
Author(s):  
Gina Marie Mathew ◽  
Lauren Hale ◽  
Anne-Marie Chang

AbstractThere is a lack of research on associations of social jetlag with eating behaviours and obesity among adolescents. We examined the associations of social jetlag with eating behaviours and BMI in adolescents before and after adjustment for potential confounders. Self-report data were collected from 3060 adolescents (48·1 % female, mean age 15·59 (sd 0·77) years) from the Fragile Families and Child Wellbeing Study. In regression models, social jetlag predicted odds of consumption of breakfast, fruits/vegetables, fast food and sweetened drinks and BMI percentile. Primary models adjusted for school night sleep duration, sex, age, household income and youth living arrangements; secondary models further adjusted for race/ethnicity. In fully adjusted models, greater social jetlag was associated with lower odds of consumption of breakfast (OR = 0·92, P = 0·003) and fruits/vegetables (OR = 0·92, P = 0·009) and higher odds of consumption of fast food (OR = 1·18, P < 0·001) and sweetened drinks (OR = 1·18, P < 0·001). Social jetlag was positively associated with BMI percentile after additional adjustment for eating behaviours (b = 0·84, P = 0·037), but this relationship was attenuated after adjustment for race/ethnicity (b = 0·72, P = 0·072). Ethnoracial differences in social jetlag may attenuate the association of social jetlag with BMI and should be considered in future studies of circadian misalignment, eating behaviours and obesity markers.


2017 ◽  
Vol 69 (6) ◽  
pp. 660-673 ◽  
Author(s):  
Anjan Pal ◽  
Alton Y.K. Chua ◽  
Dion Hoe-Lian Goh

Purpose In the wake of a rumor outbreak, individuals exchange three types of messages: rumor messages, counter-rumor messages, and uncertainty-expressing messages. However, the properties of the three types of messages are relatively unknown particularly in the social media context. Hence, the purpose of this paper is to examine these three types of messages posted on social media in the wake of a rumor outbreak. Design/methodology/approach Data included tweets posted after the outbreak of a rumor that wrongly accused the fast food chain Kentucky Fried Chicken (KFC) for selling rats instead of chicken. Using a deductive approach, codes were derived via content analysis on the tweets. Volume and exposure of tweets were also examined. Findings Counter-rumor tweets (52 percent) outnumbered rumors tweets (32 percent) and uncertainty-expressing tweets (16 percent). Emotions and personal involvement were abundant in rumor tweets. Expressions of credence and references to URLs were high in counter-rumor tweets. Social ties were found widely in uncertainty-expressing tweets. The high volume and exposure of counter-rumor tweets compared with those of either rumor tweets or uncertainty-expressing tweets highlight the potential of counter-rumors to mitigate rumors. Originality/value This research ventures into a relatively unexplored territory by concurrently examining rumor messages, counter-rumor messages and uncertainty-expressing messages in the wake of a rumor outbreak. It reveals that counter-rumor messages have the potential to mitigate rumors on social media.


Author(s):  
Lisa J Harnack ◽  
Simone A French ◽  
J Michael Oakes ◽  
Mary T Story ◽  
Robert W Jeffery ◽  
...  

2018 ◽  
Vol 20 (2) ◽  
pp. 229 ◽  
Author(s):  
Hety Budiyanti ◽  
Shine Pintor Siolemba Patiro

This study aims to investigate interrelationships among perceived service fairness, emotions, and behavioral intentions in a fast food chain restaurant context. we use terms that are commonly use on the study of fairness or justice perception. This study uses purposive sampling and the survey method to generate our sample which consists of 800 respondents from big cities in Indonesia, namely: Jakarta, Semarang, Surabaya, Medan, and Makassar. The data are analyzed using Structural Equation Modeling (SEM). The results show different roles for each fairness perception in relation to peoples’ emotions and behavioral intentions, based on the Mehrabian-Russel model. Three fairness variables (price fairness, outcome fairness and interactional fairness) have positive and significant effects on customers’ positive emotions, while, procedural fairness does not influence the formation of a positive emotion. Furthermore, a positive emotion has a positive influence on a customer’s behavioral intention. Data collected in this study are limited to the context of the restaurant industry, therefore, precaution must be taken when generalizing these results to other industries. The results of this study can serve as guidelines for managers in the restaurant industry to develop effective and efficient strategies for ensuring their services’ perceived fairness and its impact on both customers’ retention rates and the companies’ financial gains.


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