Literature DB >> 20437822

Diabetes type 2 pandemic in 21st century.

E Ginter1, V Simko.   

Abstract

In the second half of the 20th century it became obvious that a relentless increase in diabetes type 2 (DM) affecting the economically affluent countries, is gradually afflicting also the developing world. This review juxtaposes the threat that the DM epidemic represents to mankind, with the astonishing recent discoveries on the role of obesity and of the body fat in this metabolic disorder. Presently, the highest prevalence of DM is in Saudi Arabia, a country deep in riches generated by its oil wells. DM is very high, in over 10% of adults in the USA, Switzerland and Austria. Prevalence is low in Norway, China and in Iceland. Predictions of epidemiologists for the first third of the 21st century claim up to 2.5 times increase in DM in the Middle East, Sub-Saharan Africa, India, rest of Asia and in the Latin America. In China the number of patients with DM will double but in the economically advanced countries that experienced rise in DM in the 20th century, the increase will be only about 50%. Remarkably, a lowest increase in DM is expected in the countries that formerly belonged to the Soviet political space. Increasing urbanization, aging populations, obesity, and falling levels of physical activity are all contributing to the rise of DM worldwide. The main cause of DM pandemic is growing prevalence of obesity, in Europe and in the Latin America. In the North America obesity is considered to be responsible for 90% of DM in females. Male obesity is associated with DM slightly less, at 70-80% in the European Union and in the US. The precise mechanism by which obesity leads to insulin resistance and to DM is not completely described but it may be related to several biochemical factors, such as abnormalities in free fatty acids, adipokines, leptin and other substances (Tab. 1, Fig. 4, Ref. 24).

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Year:  2010        PMID: 20437822

Source DB:  PubMed          Journal:  Bratisl Lek Listy        ISSN: 0006-9248            Impact factor:   1.278


  17 in total

1.  Accuracy of prediction equations for calculating resting energy expenditure in morbidly obese patients.

Authors:  S Ullah; R Arsalani-Zadeh; J MacFie
Journal:  Ann R Coll Surg Engl       Date:  2012-03       Impact factor: 1.891

Review 2.  The role of bariatric surgery in the treatment of diabetes.

Authors:  Ji Chung Tham; Noah Howes; Carel W le Roux
Journal:  Ther Adv Chronic Dis       Date:  2014-05       Impact factor: 5.091

3.  Circulating C5L2 gene polymorphism is associated with type 2 diabetes mellitus in Saudi population.

Authors:  Khalid K Alharbi; Imran Ali Khan; Rabbani Syed
Journal:  Mol Biol Rep       Date:  2013-11       Impact factor: 2.316

Review 4.  Nutritional deficiencies after bariatric surgery.

Authors:  Bikram S Bal; Frederick C Finelli; Timothy R Shope; Timothy R Koch
Journal:  Nat Rev Endocrinol       Date:  2012-04-24       Impact factor: 43.330

5.  Metabolic improvement of morbid obese patients following Roux-en-Y gastric bypass surgery: A prospective study in Mashhad, Iran.

Authors:  Sahar Fallahi-Shahabad; Mohsen Mazidi; Alireza Tavasoli; Peyman Rezaie; Fatemeh Rohani; Simindokht Habibzadeh; Emadodin Darchini-Maragheh; Zohreh Sadat Sang Sefidi; Mohammad Safarian; Majid Ghayour Mobarhan; Mohammad Taghi Rajabi; Abdolreza Norouzy; Seyed Mohammad Reza Parizadeh; Saeid Akhlaghi; Shima Tavalaie; Fatemeh Firouzi; Mohsen Nematy
Journal:  Indian J Gastroenterol       Date:  2016-05-21

6.  Landscape mapping of functional proteins in insulin signal transduction and insulin resistance: a network-based protein-protein interaction analysis.

Authors:  Chiranjib Chakraborty; Sanjiban S Roy; Minna J Hsu; Govindasamy Agoramoorthy
Journal:  PLoS One       Date:  2011-01-31       Impact factor: 3.240

7.  Waist circumference independently associates with the risk of insulin resistance and type 2 diabetes in mexican american families.

Authors:  Manju Mamtani; Hemant Kulkarni; Thomas D Dyer; Laura Almasy; Michael C Mahaney; Ravindranath Duggirala; Anthony G Comuzzie; John Blangero; Joanne E Curran
Journal:  PLoS One       Date:  2013-03-11       Impact factor: 3.240

8.  Plasma Adiponectin Levels in Elderly Patients with Prediabetes.

Authors:  Si Eun Kong; Yea Eun Kang; Kyong Hye Joung; Ju Hee Lee; Hyun Jin Kim; Bon Jeong Ku
Journal:  Endocrinol Metab (Seoul)       Date:  2015-08-04

9.  The Effect of DPP-4 Inhibitors on Metabolic Parameters in Patients with Type 2 Diabetes.

Authors:  Eun Yeong Choe; Yongin Cho; Younjeong Choi; Yujung Yun; Hye Jin Wang; Obin Kwon; Byung-Wan Lee; Chul Woo Ahn; Bong Soo Cha; Hyun Chul Lee; Eun Seok Kang
Journal:  Diabetes Metab J       Date:  2014-06-17       Impact factor: 5.376

10.  Adiponectin, leptin, and chemerin in elderly patients with type 2 diabetes mellitus: a close linkage with obesity and length of the disease.

Authors:  Susana Coimbra; Jorge Brandão Proença; Alice Santos-Silva; Maria João Neuparth
Journal:  Biomed Res Int       Date:  2014-07-02       Impact factor: 3.411

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