| Title |
Feasibility study of portable technology for weight loss and HbA1c control in type 2 diabetes
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2016
|
| DOI | 10.1186/s12911-016-0331-2 |
| Pubmed ID | |
| Authors |
Claire L. Bentley, Olubukola Otesile, Ruth Bacigalupo, Jackie Elliott, Hayley Noble, Mark S. Hawley, Elizabeth A. Williams, Peter Cudd |
| Abstract |
The study investigated the feasibility of conducting a future Randomised Controlled Trial (RCT) of a mobile health (mHealth) intervention for weight loss and HbA1c reduction in Type 2 Diabetes Mellitus (T2DM). The intervention was a small wearable mHealth device used over 12 weeks by overweight people with T2DM with the intent to lose weight and reduce their HbA1c level. A 4 week maintenance period using the device followed. The device records physical activity level and information about food consumption, and provides motivational feedback based on energy balance. Twenty-seven participants were randomised to receive no intervention; intervention alone; or intervention plus weekly motivational support. All participants received advice on diet and exercise at the start of the study. Weight and HbA1c levels were recorded at baseline and weeks 6, 12, and 16. Qualitative interviews were conducted with participants who received the intervention to explore their experiences of using the device and involvement in the study including the training received. Overall the device was perceived to be well-liked, acceptable, motivational and easy to use by participants. Some logistical changes were required during the feasibility study, including shortening of the study duration and relaxation of participant inclusion criteria. Descriptive statistics of weight and HbA1c data showed promising trends of weight loss and HbA1c reduction in both intervention groups, although this should be interpreted with caution. A number of methodological recommendations for a future RCT emerged from the current feasibility study. The mHealth device was acceptable and promising for helping individuals with T2DM to reduce their HbA1c and lose weight. Devices with similar features should be tested further in larger studies which follow these methodological recommendations. |
X Demographics
The data shown below were collected from the profiles of 4 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 States | 1 | 25% |
| France | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 388 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 385 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 60 | 15% |
| Student > Bachelor | 57 | 15% |
| Student > Ph. D. Student | 50 | 13% |
| Student > Doctoral Student | 24 | 6% |
| Researcher | 20 | 5% |
| Other | 53 | 14% |
| Unknown | 124 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 76 | 20% |
| Nursing and Health Professions | 70 | 18% |
| Sports and Recreations | 23 | 6% |
| Psychology | 22 | 6% |
| Computer Science | 11 | 3% |
| Other | 46 | 12% |
| Unknown | 140 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 21 October 2016.
All research outputs
#12,962,314
of 22,880,691 outputs
Outputs from BMC Medical Informatics and Decision Making
#878
of 1,994 outputs
Outputs of similar age
#182,108
of 355,956 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#24
of 42 outputs
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