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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Impact of physical activity level and dietary fat content on passive overconsumption of energy in non-obese adults
|
|---|---|
| Published in |
International Journal of Behavioral Nutrition and Physical Activity, February 2017
|
| DOI | 10.1186/s12966-017-0473-3 |
| Pubmed ID | |
| Authors |
Kristine Beaulieu, Mark Hopkins, John Blundell, Graham Finlayson |
| Abstract |
Passive overconsumption is the increase in energy intake driven by the high-fat energy-dense food environment. This can be explained in part because dietary fat has a weaker effect on satiation (i.e. process that terminates feeding). Habitually active individuals show improved satiety (i.e. process involved in post-meal suppression of hunger) but any improvement in satiation is unknown. Here we examined whether habitual physical activity mitigates passive overconsumption through enhanced satiation in response to a high-fat meal. Twenty-one non-obese individuals with high levels of physical activity (HiPA) and 19 individuals with low levels of physical activity (LoPA) matched for body mass index (mean = 22.8 kg/m(2)) were recruited. Passive overconsumption was assessed by comparing ad libitum energy intake from covertly manipulated high-fat (HFAT; 50% fat) or high-carbohydrate (HCHO; 70% carbohydrate) meals in a randomized crossover design. Habitual physical activity was assessed using SenseWear accelerometers (SWA). Body composition, resting metabolic rate, eating behaviour traits, fasting appetite-related peptides and hedonic food reward were also measured. In the whole sample, passive overconsumption was observed with greater energy intake at HFAT compared to HCHO (p < 0.01), without any differences between activity groups (p > 0.05). SWA confirmed that HiPA were more active than LoPA (p < 0.01). HiPA had lower body fat and greater fat-free mass than LoPA (p < 0.05 for both) but did not differ in resting metabolic rate, eating behaviour traits, appetite-related peptides or food reward (p > 0.05 for all). Non-obese individuals with high or low physical activity levels but matched for BMI showed similar susceptibility to passive overconsumption when consuming an ad libitum high-fat compared to a high-carbohydrate meal. This occurred despite increased total daily energy expenditure and improved body composition in HiPA. Greater differences in body composition and/or physical activity levels may be required to impact on satiation. |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 7 | 41% |
| Australia | 1 | 6% |
| Ireland | 1 | 6% |
| Netherlands | 1 | 6% |
| Iraq | 1 | 6% |
| United States | 1 | 6% |
| Sweden | 1 | 6% |
| Unknown | 4 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 47% |
| Members of the public | 7 | 41% |
| Practitioners (doctors, other healthcare professionals) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| Unknown | 139 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 20 | 14% |
| Student > Master | 19 | 14% |
| Researcher | 15 | 11% |
| Student > Ph. D. Student | 15 | 11% |
| Other | 7 | 5% |
| Other | 22 | 16% |
| Unknown | 42 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 19% |
| Sports and Recreations | 15 | 11% |
| Biochemistry, Genetics and Molecular Biology | 13 | 9% |
| Nursing and Health Professions | 13 | 9% |
| Agricultural and Biological Sciences | 6 | 4% |
| Other | 23 | 16% |
| Unknown | 44 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 17 May 2017.
All research outputs
#3,004,341
of 24,593,555 outputs
Outputs from International Journal of Behavioral Nutrition and Physical Activity
#1,027
of 2,059 outputs
Outputs of similar age
#60,536
of 429,252 outputs
Outputs of similar age from International Journal of Behavioral Nutrition and Physical Activity
#24
of 37 outputs
Altmetric has tracked 24,593,555 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,059 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.0. This one is in the 49th percentile – i.e., 49% 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 429,252 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.