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Relationships of cognitive load on eating and weight-related behaviors of young adults

Overview of attention for article published in Eating Behaviors, January 2016
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2 X users
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1 Facebook page

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295 Mendeley
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Article details
Title
Relationships of cognitive load on eating and weight-related behaviors of young adults
Published in
Eating Behaviors, January 2016
DOI 10.1016/j.eatbeh.2016.01.002
Pubmed ID
Authors
Abstract

Little is known about the relationship between weight-related behaviors and cognitive load (working memory available to complete mental activities like those required for planning meals, selecting foods, and other health-related decisions). Thus, the purpose of this study was to explore associations between cognitive load and eating behaviors, physical activity, body mass index (BMI), and waist circumference of college students. College students (n=1018) from 13 institutions completed an online survey assessing eating behaviors (e.g., routine and compensatory restraint, emotional eating, and fruit/vegetable intake), stress level, and physical activity level. BMI and waist circumference were measured by trained researchers. A cognitive load score was derived from stress level, time pressure/income needs, race and nationality. High cognitive load participants (n=425) were significantly (P<0.05) more likely to be female, older, and further along in school than those with low cognitive loads (n=593). Compared to low cognitive load participants, high cognitive load participants were significantly more likely to eat <5 cups of fruits/vegetables/day, have greater routine and compensatory restraint, and greater susceptibility to eating in response to external cues and emotional eating. Both males and females with high cognitive load scores had a non-significant trend toward higher BMIs, waist circumferences, and drinking more alcohol than low cognitive load counterparts. In conclusion, cognitive load may be an important contributor to health behaviors. Understanding how cognitive load may affect eating and other weight-related behaviors could potentially lead to improvements in the effectiveness of obesity prevention and intervention programs.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 295 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Poland 1 <1%
Germany 1 <1%
Unknown 293 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 50 17%
Student > Ph. D. Student 40 14%
Student > Bachelor 30 10%
Researcher 24 8%
Student > Doctoral Student 19 6%
Other 49 17%
Unknown 83 28%
Readers by discipline
Readers by discipline Count As %
Psychology 69 23%
Medicine and Dentistry 28 9%
Nursing and Health Professions 23 8%
Sports and Recreations 20 7%
Social Sciences 15 5%
Other 46 16%
Unknown 94 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 February 2016.
All research outputs
#18,700,148
of 27,992,881 outputs
Outputs from Eating Behaviors
#692
of 1,008 outputs
Outputs of similar age
#245,859
of 410,933 outputs
Outputs of similar age from Eating Behaviors
#16
of 26 outputs
Altmetric has tracked 27,992,881 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,008 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 410,933 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.