Decision Making in Eating Behavior: State of the Science and Recommendations for Future Research

Johnson-Askew, Wendy L.; Fisher, Rachel; Yaroch, Amy L.

doi:10.1007/s12160-009-9125-4

Cited by 11 publications

(7 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, eating behaviors are complex and involve a myriad of psychological, biological, personal, social and environmental factors (Johnson-Askew, Fisher, and Yaroch 2009). In addition to exploring what individuals eat, there is a need to understand the drivers of eating behaviors to allow for the development of appropriate dietary advice and behavior change interventions.…”

Section: Nutrient Intake and Factors Influencing Eating Behaviors In mentioning

confidence: 99%

“…Therefore, future strategies targeting migrant older women should consider the social component of cooking and eating, especially for those women who have lost their partners or are living alone.Irrespective of ethnic, socio-economic or migration background, participants indicated a good level of knowledge and awareness regarding what constitutes a healthy diet. However, eating is a process that is influenced by many factors and thus, knowledge may not necessarily translate into eating behaviors that promote optimal health and wellbeing(Johnson-Askew, Fisher, and Yaroch 2009). Given the importance of food beliefs and dietary conventions and customs among migrant populations, interventions focusing on eating behaviors need to consider not only nutrition education, but also the importance of family environments, food beliefs and traditions and how these can be honored while promoting healthy dietary patterns.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Nutrient Intake and Factors Influencing Eating Behaviors in Older Migrant Women Living in the United Kingdom

Castaneda-Gameros

Redwood

Thompson

2017

Ecology of Food and Nutrition

View full text Add to dashboard Cite

This study examines nutrient intake and factors influencing eating behaviors in a sample of 76 migrant older women (≥ 60 years) living in the UK. Nutrient intake was assessed using a 24-hr recall enhanced by an in-depth probing dietary interview. Median energy intake was significantly lower than the UK RNIs (5,125.4 v. 7,301.1 kJ/d, p < .001). Main nutrients of concern were retinol, vitamin D, magnesium, potassium, copper, selenium, and monounsaturated fatty acids. Semistructured interviews were conducted with a subsample (n = 46) and analyzed using thematic analysis. Although women were knowledgeable about what constitutes a healthy diet, factors such as the presence and awareness of obesity and noncommunicable diseases, changes to household roles, and dietary restrictions related to religious beliefs were identified key influences on participants' dietary intake. Strategies targeting this population need to promote not only a healthy energy balance, but also dietary adequacy to optimize nutrient intake.

show abstract

Section: Nutrient Intake and Factors Influencing Eating Behaviors In mentioning

confidence: 99%

mentioning

confidence: 99%

Nutrient Intake and Factors Influencing Eating Behaviors in Older Migrant Women Living in the United Kingdom

Castaneda-Gameros

Redwood

Thompson

2017

Ecology of Food and Nutrition

View full text Add to dashboard Cite

show abstract

“…As exemplified by these different approaches, there is a multiplicity of environments that influence food behaviours [82]: the physical environment (e.g., variety of food outlets), economic environment (e.g., cost of foods), political environment (e.g., food regulations), and sociocultural environment (e.g., beliefs and attitudes related to food). Developing interventions on food behaviours is thus complex as it addresses multiple sources of influence [83]. As ABMs can be used to inform the design and evaluation of complex interventions, it is particularly important that they reflect this multiplicity [6, 84].…”

Section: Methodsmentioning

confidence: 99%

Using Agent-Based Models to Develop Public Policy about Food Behaviours: Future Directions and Recommendations

Giabbanelli

Crutzen

2017

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

Most adults are overweight or obese in many western countries. Several population-level interventions on the physical, economical, political, or sociocultural environment have thus attempted to achieve a healthier weight. These interventions have involved different weight-related behaviours, such as food behaviours. Agent-based models (ABMs) have the potential to help policymakers evaluate food behaviour interventions from a systems perspective. However, fully realizing this potential involves a complex procedure starting with obtaining and analyzing data to populate the model and eventually identifying more efficient cross-sectoral policies. Current procedures for ABMs of food behaviours are mostly rooted in one technique, often ignore the food environment beyond home and work, and underutilize rich datasets. In this paper, we address some of these limitations to better support policymakers through two contributions. First, via a scoping review, we highlight readily available datasets and techniques to deal with these limitations independently. Second, we propose a three steps' process to tackle all limitations together and discuss its use to develop future models for food behaviours. We acknowledge that this integrated process is a leap forward in ABMs. However, this long-term objective is well-worth addressing as it can generate robust findings to effectively inform the design of food behaviour interventions.

show abstract

“…Individual conceptualisations of unhealthy dietary behaviour and obesity are now considered too simplistic [12]. Individuals exert some control over their food choices, however, dietary behaviours are highly complex and are also influenced by surrounding factors including those in the food environment [13].…”

Section: Introductionmentioning

confidence: 99%

Impact of Dining Hall Structural Changes on Food Choices: A Pre-Post Observational Study

Carins

Rundle‐Thiele

Ronto

2020

IJERPH

View full text Add to dashboard Cite

Change that benefits individuals and organisations while delivering health outcomes and benefits society requires a research focus that extends ‘beyond the individual’ to environment shapers. A pre-post observational study assessed two food provision structural changes to understand the role food service environments had on food selections. Diners were observed prior to (lunch n = 1294; dinner n = 787) and following (lunch n = 1230; dinner n = 843) structural changes in a buffet-style dining room—including provision of a healthy convenient meal alternative for lunch (healthy lunch bag), and a pleasurable dinner (make-your-own pizza). Food choices shifted with 19% of diners opting for a healthy lunch bag and 29% of diners selecting a pizza dinner, moving away from the existing buffet. Examination of selections by those continuing to select from the concurrent buffet selections established that the availability of healthy alternatives in the buffet partially explained food choices, moderating any observed changes in food selections. The food service sector is a promising avenue through which dietary behaviours can be improved. Further studies, particularly those that measure selections over the longer term, and that include measures of satisfaction and profit, are needed.

show abstract

Decision Making in Eating Behavior: State of the Science and Recommendations for Future Research

Abstract: Additional research is needed.

Cited by 11 publications

References 33 publications

Nutrient Intake and Factors Influencing Eating Behaviors in Older Migrant Women Living in the United Kingdom

Nutrient Intake and Factors Influencing Eating Behaviors in Older Migrant Women Living in the United Kingdom

Using Agent-Based Models to Develop Public Policy about Food Behaviours: Future Directions and Recommendations

Impact of Dining Hall Structural Changes on Food Choices: A Pre-Post Observational Study

Contact Info

Product

Resources

About