Literature DB >> 16276079

The metabolic syndrome and type 2 diabetes: epidemiological figures and country specificities.

Michel Procopiou1, Jacques Philippe.   

Abstract

Over the last 20 years, the prevalence of the metabolic syndrome has steadily increased in all populations worldwide, changing slowly the phenotype of the human race and potentially our concept of physiological normality. Our affluent phenotype reflects progressive adaptation to the external environment, which in turn changes the standards of the metabolic variables such as body weight, blood pressure, lipid values and glucose homeostasis. The human survivors of the difficult times of the hunter-gatherer period have probably benefited from genes which have allowed for more efficient food utilization, fat deposition and weight gain, a concept referred to as the 'thrifty gene' hypothesis. This genetic background has now become detrimental in our society of high energy consumption, little physical activity and lifestyles that favour stress and anxiety. These genetic and environmental interactions explain the explosion in the prevalence of the metabolic syndrome and diabetes. If future estimates for the number of patients with diabetes and impaired glucose tolerance are valid, this will have a major and adverse impact on the number of stroke patients globally.

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Year:  2005        PMID: 16276079     DOI: 10.1159/000088231

Source DB:  PubMed          Journal:  Cerebrovasc Dis        ISSN: 1015-9770            Impact factor:   2.762


  17 in total

1.  Fatty liver is associated with dyslipidemia and dysglycemia independent of visceral fat: the Framingham Heart Study.

Authors:  Elizabeth K Speliotes; Joseph M Massaro; Udo Hoffmann; Ramachandran S Vasan; James B Meigs; Dushyant V Sahani; Joel N Hirschhorn; Christopher J O'Donnell; Caroline S Fox
Journal:  Hepatology       Date:  2010-06       Impact factor: 17.425

2.  Common risk factors for changes in body weight and psychological well-being in Japanese male middle-aged workers.

Authors:  Takiko Sagara; Yoshiaki Hitomi; Yasuhiro Kambayashi; Yuri Hibino; Ichiyo Matsuzaki; Shinichiro Sasahara; Keiki Ogino; Kotaro Hatta; Hiroyuki Nakamura
Journal:  Environ Health Prev Med       Date:  2009-08-05       Impact factor: 3.674

Review 3.  Perinatal environment and its influences on metabolic programming of offspring.

Authors:  Kellie L K Tamashiro; Timothy H Moran
Journal:  Physiol Behav       Date:  2010-04-13

Review 4.  Understanding the metabolic syndrome: a modeling perspective.

Authors:  Michael C K Khoo; Flavia M G S Oliveira; Limei Cheng
Journal:  IEEE Rev Biomed Eng       Date:  2012-12-10

5.  Nonalcoholic fatty liver disease and serum lipoproteins: the Multi-Ethnic Study of Atherosclerosis.

Authors:  Andrew Paul DeFilippis; Michael J Blaha; Seth S Martin; Robert M Reed; Steven R Jones; Khurram Nasir; Roger S Blumenthal; Matthew J Budoff
Journal:  Atherosclerosis       Date:  2013-01-29       Impact factor: 5.162

6.  Liver fat is reproducibly measured using computed tomography in the Framingham Heart Study.

Authors:  Elizabeth K Speliotes; Joseph M Massaro; Udo Hoffmann; Meredith C Foster; Dushyant V Sahani; Joel N Hirschhorn; Christopher J O'Donnell; Caroline S Fox
Journal:  J Gastroenterol Hepatol       Date:  2008-06       Impact factor: 4.029

7.  A cross-sectional analysis of the association between age and gender and prescribed minimum benefit chronic disease list conditions among South Africans with concomitant hypertension, diabetes and dyslipidaemia.

Authors:  Johanita Burger; Martie Lubbe; Jan Serfontein; Suria Ellis
Journal:  Afr Health Sci       Date:  2017-03       Impact factor: 0.927

8.  Genetic architecture of plasma adiponectin overlaps with the genetics of metabolic syndrome-related traits.

Authors:  Peter Henneman; Yurii S Aulchenko; Rune R Frants; Irina V Zorkoltseva; M Carola Zillikens; Marijke Frolich; Ben A Oostra; Ko Willems van Dijk; Cornelia M van Duijn
Journal:  Diabetes Care       Date:  2010-01-12       Impact factor: 19.112

9.  Prevalence of the metabolic syndrome in Latin America and its association with sub-clinical carotid atherosclerosis: the CARMELA cross sectional study.

Authors:  Jorge Escobedo; Herman Schargrodsky; Beatriz Champagne; Honorio Silva; Carlos P Boissonnet; Raul Vinueza; Marta Torres; Rafael Hernandez; Elinor Wilson
Journal:  Cardiovasc Diabetol       Date:  2009-09-26       Impact factor: 9.951

10.  Combined effects of obesity and type 2 diabetes contribute to increased breast cancer risk in premenopausal women.

Authors:  Majed S Alokail; Nasser M Al-Daghri; Omar S Al-Attas; Tajamul Hussain
Journal:  Cardiovasc Diabetol       Date:  2009-06-23       Impact factor: 9.951

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