| Title |
Testing a mobile mindful eating intervention targeting craving-related eating: feasibility and proof of concept
|
|---|---|
| Published in |
Journal of Behavioral Medicine, September 2017
|
| DOI | 10.1007/s10865-017-9884-5 |
| Pubmed ID | |
| Authors |
Ashley E. Mason, Kinnari Jhaveri, Michael Cohn, Judson A. Brewer |
| Abstract |
Theoretically driven smartphone-delivered behavioral interventions that target mechanisms underlying eating behavior are lacking. In this study, we administered a 28-day self-paced smartphone-delivered intervention rooted in an operant conditioning theoretical framework that targets craving-related eating using mindful eating practices. At pre-intervention and 1-month post-intervention, we assessed food cravings among adult overweight or obese women (N = 104; M age = 46.2 ± 14.1 years; M BMI = 31.5 ± 4.5) using ecological momentary assessment via text message (SMS), self-reported eating behavior (e.g., trait food craving), and in-person weight. Seventy-eight participants (75.0%) completed the intervention within 7 months ('all completers'), and of these, 64 completed the intervention within 3 months ('timely completers'). Participants experienced significant reductions in craving-related eating (40.21% reduction; p < .001) and self-reported overeating behavior (trait food craving, p < .001; other measures ps < .01). Reductions in trait food craving were significantly correlated with weight loss for timely completers (r = .30, p = .020), this pattern of results was also evident in all completers (r = .22, p = .065). Taken together, results suggest that smartphone-delivered mindful eating training targeting craving-related eating may (1) target behavior that impacts a relative metabolic pathway, and (2) represent a low-burden and highly disseminable method to reduce problematic overeating among overweight individuals. ClinicalTrials.gov registration: NCT02694731. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 45% |
| Comoros | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 2 | 18% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 273 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 273 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 37 | 14% |
| Student > Bachelor | 32 | 12% |
| Student > Ph. D. Student | 30 | 11% |
| Researcher | 24 | 9% |
| Student > Doctoral Student | 22 | 8% |
| Other | 40 | 15% |
| Unknown | 88 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 78 | 29% |
| Nursing and Health Professions | 31 | 11% |
| Medicine and Dentistry | 25 | 9% |
| Social Sciences | 9 | 3% |
| Agricultural and Biological Sciences | 6 | 2% |
| Other | 30 | 11% |
| Unknown | 94 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 443. 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 03 April 2024.
All research outputs
#64,081
of 25,632,496 outputs
Outputs from Journal of Behavioral Medicine
#6
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Outputs of similar age
#1,268
of 310,412 outputs
Outputs of similar age from Journal of Behavioral Medicine
#1
of 16 outputs
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