| Title |
Heart Rate Variability Biofeedback Reduces Food Cravings in High Food Cravers
|
|---|---|
| Published in |
Applied Psychophysiology and Biofeedback, June 2012
|
| DOI | 10.1007/s10484-012-9197-y |
| Pubmed ID | |
| Authors |
Adrian Meule, Rebecca Freund, Ann Kathrin Skirde, Claus Vögele, Andrea Kübler |
| Abstract |
Heart rate variability (HRV) biofeedback has been reported to increase HRV while decreasing symptoms in patients with mental disorders. In addition, associations between low HRV and lowered self-regulation were found in non-clinical samples, e.g., in individuals with strong chocolate cravings or unsuccessful dieting. The current study aimed at decreasing food cravings with HRV-biofeedback in individuals frequently experiencing such cravings. Participants (N = 56) with strong or low food cravings associated with a lack of control over eating were selected from the local community. Half of the participants with strong cravings (craving-biofeedback; n = 14) performed 12 sessions of HRV-biofeedback while the other half (craving-control; n = 14) and a group with low cravings (non-craving-control; n = 28) received no intervention. Subjective food cravings related to a lack of control over eating decreased from pre- to post-measurement in the craving-biofeedback group, but remained constant in the control groups. Moreover, only the craving-biofeedback group showed a decrease in eating and weight concerns. Although HRV-biofeedback was successful in reducing food cravings, this change was not accompanied by an increase in HRV. Instead, HRV decreased in the craving-control group. This study provides preliminary evidence that HRV-biofeedback could be beneficial for attenuating dysfunctional eating behavior although specific mechanisms remain to be elucidated. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Canada | 1 | <1% |
| Australia | 1 | <1% |
| Belgium | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 199 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 35 | 17% |
| Student > Ph. D. Student | 29 | 14% |
| Researcher | 26 | 13% |
| Student > Doctoral Student | 21 | 10% |
| Student > Bachelor | 21 | 10% |
| Other | 33 | 16% |
| Unknown | 40 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 78 | 38% |
| Medicine and Dentistry | 28 | 14% |
| Neuroscience | 10 | 5% |
| Nursing and Health Professions | 8 | 4% |
| Agricultural and Biological Sciences | 7 | 3% |
| Other | 24 | 12% |
| Unknown | 50 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 2020.
All research outputs
#1,537,945
of 23,849,058 outputs
Outputs from Applied Psychophysiology and Biofeedback
#43
of 355 outputs
Outputs of similar age
#9,226
of 169,010 outputs
Outputs of similar age from Applied Psychophysiology and Biofeedback
#1
of 6 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 355 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has done particularly well, scoring higher than 99% of its peers.
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 169,010 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them