| Title |
Diabetes-Specific Nutrition Algorithm: A Transcultural Program to Optimize Diabetes and Prediabetes Care
|
|---|---|
| Published in |
Current Diabetes Reports, February 2012
|
| DOI | 10.1007/s11892-012-0253-z |
| Pubmed ID | |
| Authors |
Jeffrey I. Mechanick, Albert E. Marchetti, Caroline Apovian, Alexander Koglin Benchimol, Peter H. Bisschop, Alexis Bolio-Galvis, Refaat A. Hegazi, David Jenkins, Enrique Mendoza, Miguel Leon Sanz, Wayne Huey-Herng Sheu, Patrizio Tatti, Man-Wo Tsang, Osama Hamdy |
| Abstract |
Type 2 diabetes (T2D) and prediabetes have a major global impact through high disease prevalence, significant downstream pathophysiologic effects, and enormous financial liabilities. To mitigate this disease burden, interventions of proven effectiveness must be used. Evidence shows that nutrition therapy improves glycemic control and reduces the risks of diabetes and its complications. Accordingly, diabetes-specific nutrition therapy should be incorporated into comprehensive patient management programs. Evidence-based recommendations for healthy lifestyles that include healthy eating can be found in clinical practice guidelines (CPGs) from professional medical organizations. To enable broad implementation of these guidelines, recommendations must be reconstructed to account for cultural differences in lifestyle, food availability, and genetic factors. To begin, published CPGs and relevant medical literature were reviewed and evidence ratings applied according to established protocols for guidelines. From this information, an algorithm for the nutritional management of people with T2D and prediabetes was created. Subsequently, algorithm nodes were populated with transcultural attributes to guide decisions. The resultant transcultural diabetes-specific nutrition algorithm (tDNA) was simplified and optimized for global implementation and validation according to current standards for CPG development and cultural adaptation. Thus, the tDNA is a tool to facilitate the delivery of nutrition therapy to patients with T2D and prediabetes in a variety of cultures and geographic locations. It is anticipated that this novel approach can reduce the burden of diabetes, improve quality of life, and save lives. The specific Southeast Asian and Asian Indian tDNA versions can be found in companion articles in this issue of Current Diabetes Reports. |
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 % |
|---|---|---|
| Argentina | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | <1% |
| India | 1 | <1% |
| Taiwan | 1 | <1% |
| Mexico | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 136 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 15% |
| Student > Master | 18 | 13% |
| Researcher | 17 | 12% |
| Student > Bachelor | 14 | 10% |
| Student > Postgraduate | 9 | 6% |
| Other | 28 | 20% |
| Unknown | 34 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 53 | 38% |
| Nursing and Health Professions | 15 | 11% |
| Agricultural and Biological Sciences | 6 | 4% |
| Social Sciences | 5 | 4% |
| Psychology | 5 | 4% |
| Other | 20 | 14% |
| Unknown | 37 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 05 August 2018.
All research outputs
#1,984,947
of 22,662,201 outputs
Outputs from Current Diabetes Reports
#98
of 1,005 outputs
Outputs of similar age
#16,258
of 248,330 outputs
Outputs of similar age from Current Diabetes Reports
#2
of 6 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,005 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 90% of its peers.
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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 4 of them.