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Transcultural Diabetes Nutrition Therapy Algorithm: The Asian Indian Application

Overview of attention for article published in Current Diabetes Reports, February 2012
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users
wikipedia
1 Wikipedia page

Citations

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37 Dimensions

Readers on

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148 Mendeley
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1 CiteULike
Title
Transcultural Diabetes Nutrition Therapy Algorithm: The Asian Indian Application
Published in
Current Diabetes Reports, February 2012
DOI 10.1007/s11892-012-0260-0
Pubmed ID
Authors

Shashank R. Joshi, V. Mohan, S. S. Joshi, Jeffrey I. Mechanick, Albert Marchetti

Abstract

India and other countries in Asia are experiencing rapidly escalating epidemics of type 2 diabetes (T2D) and cardiovascular disease. The dramatic rise in the prevalence of these illnesses has been attributed to rapid changes in demographic, socioeconomic, and nutritional factors. The rapid transition in dietary patterns in India-coupled with a sedentary lifestyle and specific socioeconomic pressures-has led to an increase in obesity and other diet-related noncommunicable diseases. Studies have shown that nutritional interventions significantly enhance metabolic control and weight loss. Current clinical practice guidelines (CPGs) are not portable to diverse cultures, constraining the applicability of this type of practical educational instrument. Therefore, a transcultural Diabetes Nutrition Algorithm (tDNA) was developed and then customized per regional variations in India. The resultant India-specific tDNA reflects differences in epidemiologic, physiologic, and nutritional aspects of disease, anthropometric cutoff points, and lifestyle interventions unique to this region of the world. Specific features of this transculturalization process for India include characteristics of a transitional economy with a persistently high poverty rate in a majority of people; higher percentage of body fat and lower muscle mass for a given body mass index; higher rate of sedentary lifestyle; elements of the thrifty phenotype; impact of festivals and holidays on adherence with clinic appointments; and the role of a systems or holistic approach to the problem that must involve politics, policy, and government. This Asian Indian tDNA promises to help guide physicians in the management of prediabetes and T2D in India in a more structured, systematic, and effective way compared with previous methods and currently available CPGs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Mexico 1 <1%
India 1 <1%
Unknown 145 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 15%
Researcher 18 12%
Student > Bachelor 18 12%
Student > Ph. D. Student 14 9%
Other 8 5%
Other 31 21%
Unknown 37 25%
Readers by discipline Count As %
Medicine and Dentistry 52 35%
Social Sciences 14 9%
Nursing and Health Professions 13 9%
Agricultural and Biological Sciences 5 3%
Psychology 4 3%
Other 17 11%
Unknown 43 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 September 2014.
All research outputs
#6,911,493
of 22,663,150 outputs
Outputs from Current Diabetes Reports
#341
of 1,005 outputs
Outputs of similar age
#46,348
of 156,341 outputs
Outputs of similar age from Current Diabetes Reports
#4
of 7 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
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 gotten more attention than average, scoring higher than 63% 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 156,341 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.