Effects of habit on intentional and reactive motivations for unhealthy eating

Ohtomo, Shoji

doi:10.1016/j.appet.2013.04.014

Cited by 11 publications

(7 citation statements)

References 48 publications

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“…These findings are consistent with those by Ohtomo (2013) who reported that unhealthy snacking behavior was predicted more strongly by willingness to engage in such a behavior than by behavioral intention.…”

Section: Practical Implicationssupporting

confidence: 92%

“…Despite this suggestive evidence, there is only one known healthy eating study using both concepts together (Ohtomo, 2013). One possible reason for this is that the concept of behavioral willingness comes from the prototype/willingness model, which has been used to predict healthrisk behaviors (e.g., smoking, binge drinking), not health-promoting behaviors.…”

Section: Behavioral Intentions Vs Behavioral Willingnessmentioning

confidence: 99%

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Understanding customers' healthful menu item selection behaviors at casual dining restaurants

Jun

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Section: Practical Implicationssupporting

confidence: 92%

Section: Behavioral Intentions Vs Behavioral Willingnessmentioning

confidence: 99%

Understanding customers' healthful menu item selection behaviors at casual dining restaurants

Jun

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“…Whilst these models have been useful in identifying predictors of snacking which may be successfully targeted via intervention and health information (see Branscum & Sharma;Mesters & Oostveen;1994, Lally, Bartle, & Wardle;, Robinson, Harris, Thomas, Aveyard, & Higgs, 2013Shojaeezadeh, 2010), they have tended to neglect aspects of behaviour which are unplanned or non-reflective in nature. For snacking behaviour in particular, it is likely that non-reflective variables play a large role in determining action (Hofmann, Freise, & Strack, 2009;Ohtomo, 2013). Indeed, dual-process models confirm that snacking behaviour is predicted by both reflective and nonreflective processes (Churchill & Jessop, 2011;Honkanen, Olsen, Verplanken, & Tuu, 2012).…”

mentioning

confidence: 99%

Impulsivity and temporal frame: Reducing frequency of snacking by highlighting immediate health benefits

Pavey

Churchill

2017

Eating Behaviors

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The current study aimed to examine the effect of giving temporally framed health information regarding either the immediate or long-term health consequences of consuming high-calorie snacks, for people with high Negative Urgency (a dimension of impulsivity), and for those primed with impulsivity. We expected that for participants with high Negative Urgency, and those primed with impulsivity, information which detailed the immediate health benefits of avoiding snack consumption would be more effective than information which detailed long-term health benefits. Participants (N=110) completed a measure of Negative Urgency, reported their snacking frequency over the previous seven days, and completed either an impulsivity or neutral prime task. Following this, they read information detailing either the immediate or long-term health benefits of avoiding high-calorie snacks. High-calorie snack consumption was reported 7days later. The results showed a significant three-way interaction between Negative Urgency, prime task, and temporal frame. Participants who were primed with impulsivity and those high in Negative Urgency showed a greater reduction in snacking frequency after being given information about the immediate vs. long-term health benefits of snacking. The results suggest that the immediacy of health consequences should be considered when designing health information to reduce impulsive snacking behaviour.

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“…Such instruments provide medical services free from the limitations of time and location, and have had a positive role in clinical treatment of disease [13,[22][23][24]. However, a person's diet is affected by many elements such as region, culture, habits, preference, and even psychology [11,[25][26][27]. Therefore, a lack of monitoring tools has resulted in a situation where the status of dietary health among various populations remains largely unknown in the public health landscape.…”

Section: Introductionmentioning

confidence: 99%

Self-monitoring Method for Improving Health-related Quality of Life: Data Acquisition, Monitoring, and Analysis of Vital Signs and Diet

Tao

Gao

et al. 2021

ASP Trans. Pattern Recognit. Intell. Syst.

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Vital signs are a series of clinical measurements and important to health-related quality of life. To establish a method for self-monitoring and management of vital signs and diet, a self-monitoring method (SMM) including wireless body area network and mobile technology was proposed in this paper. The study population comprised a total of 180 participants. Differences between measurements taken using the SMM and traditional instruments were analyzed with respect to accuracy and reproducibility. Participant measurements before and after intervention were used to evaluate the validity of the SMM. There was no statistically significant difference between our SMM and traditional instruments for measuring vital signs (p>0.05). The relative standard deviation of the SMM (0.38%) indicated good repeatability. These findings suggest that the SMM had a clear effect of promoting improvement in health habits, health condition monitoring, and disease prevention (p<0.05). Statistical analysis indicated that our SMM contributed to improve monitoring of vital signs and diet, and improved the health-related quality of life among study participants to a certain degree.

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Effects of habit on intentional and reactive motivations for unhealthy eating

Cited by 11 publications

References 48 publications

Understanding customers' healthful menu item selection behaviors at casual dining restaurants

Understanding customers' healthful menu item selection behaviors at casual dining restaurants

Impulsivity and temporal frame: Reducing frequency of snacking by highlighting immediate health benefits

Self-monitoring Method for Improving Health-related Quality of Life: Data Acquisition, Monitoring, and Analysis of Vital Signs and Diet

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