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| Title |
Implementation of interval walking training in patients with type 2 diabetes in Denmark: rationale, design, and baseline characteristics
|
|---|---|
| Published in |
Clinical Epidemiology, June 2016
|
| DOI | 10.2147/clep.s97303 |
| Pubmed ID | |
| Authors |
Mathias Ried-Larsen, Reimar W Thomsen, Klara Berencsi, Cecilie F Brinkløv, Charlotte Brøns, Laura S Valentiner, Kristian Karstoft, Henning Langberg, Allan A Vaag, Bente K Pedersen, Jens S Nielsen |
| Abstract |
Promoting physical activity is a first-line choice of treatment for patients with type 2 diabetes (T2D). However, there is a need for more effective tools and technologies to facilitate structured lifestyle interventions and to ensure a better compliance, sustainability, and health benefits of exercise training in patients with T2D. The InterWalk initiative and its innovative application (app) for smartphones described in this study were developed by the Danish Centre for Strategic Research in T2D aiming at implementing, testing, and validating interval walking in patients with T2D in Denmark. The interval walking training approach consists of repetitive 3-minute cycles of slow and fast walking with simultaneous intensity guiding, based on the exercise capacity of the user. The individual intensity during slow and fast walking is determined by a short initial self-conducted and audio-guided fitness test, which combined with automated audio instructions strives to motivate the individual to adjust the intensity to the predetermined individualized walking intensities. The InterWalk app data are collected prospectively from all users and will be linked to the unique Danish nationwide databases and administrative registries, allowing extensive epidemiological studies of exercise in patients with T2D, such as the level of adherence to InterWalk training and long-term effectiveness surveys of important health outcomes, including cardiovascular morbidity and mortality. Currently, the InterWalk app has been downloaded by >30,000 persons, and the achieved epidemiological data quality is encouraging. Of the 9,466 persons providing personal information, 80% of the men and 62% women were overweight or obese (body mass index ≥25). The InterWalk project represents a contemporary technology-driven public health approach to monitor real-life exercise adherence and to propagate improved health through exercise intervention in T2D and in the general population. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 18% |
| Argentina | 1 | 9% |
| Canada | 1 | 9% |
| United Kingdom | 1 | 9% |
| Denmark | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 3 | 27% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | <1% |
| Unknown | 127 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 17% |
| Student > Master | 17 | 13% |
| Student > Doctoral Student | 13 | 10% |
| Student > Bachelor | 11 | 9% |
| Student > Postgraduate | 10 | 8% |
| Other | 22 | 17% |
| Unknown | 33 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 20% |
| Nursing and Health Professions | 23 | 18% |
| Computer Science | 10 | 8% |
| Sports and Recreations | 9 | 7% |
| Psychology | 7 | 5% |
| Other | 16 | 13% |
| Unknown | 37 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 16 February 2017.
All research outputs
#4,783,731
of 25,899,121 outputs
Outputs from Clinical Epidemiology
#193
of 802 outputs
Outputs of similar age
#75,264
of 355,253 outputs
Outputs of similar age from Clinical Epidemiology
#3
of 15 outputs
Altmetric has tracked 25,899,121 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 802 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done well, scoring higher than 75% 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 355,253 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 78% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.