Prevalence of Diabetes and Impaired Glucose Tolerance in Funagata Area, Japan

Sekikawa, Akira; Tominaga, Makoto; Takahashi, Kazuma; Eguchi, Hideyuki; Inamori, Masahiko; Ohnuma, Hiroshi; Sugiyama, Kazutoshi; Manaka, Hideo; Sasaki, Hideo; Fukuyama, Haru

doi:10.2337/diacare.16.4.570

Cited by 74 publications

(53 citation statements)

References 9 publications

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“…Twelve surveys from Europe [12,13,14,15,16,17,18] including a survey from Malta, three surveys from India [19,20,21], two surveys from China and three surveys from Japan [22,23,24] fulfilled these criteria and were included in the study. A total of 29,369 subjects (14,240 men and 15,129 women) who were 30 to 89 years of age were included in the analysis (Table 1).…”

Section: Methodsmentioning

confidence: 99%

Age, body mass index and Type 2 diabetes?associations modified by ethnicity

Group

2003

Diabetologia

176

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Aims/hypothesis. The aim of this study was to assess the effect of ethnicity on the association between age and body mass index as well as the prevalence of diabetes. Methods. We selected population-based studies carried out after 1980 in the DECODE/A studies representing different ethnic groups: 11 European, 1 Maltese, 3 Indian, 2 Chinese and 3 Japanese surveys. The total numbers of subjects were 14,240 men and 15,129 women who were 30 to 89 years of age. Diabetes was diagnosed according to the 1999 World Health Organization criteria based on a standard 75 g OGTT. Sexspecific prevalence of diabetes by age and BMI was stratified by ethnic group, in particular the interaction of ethnicity on the associations between age/BMI and the prevalence of diabetes.Results. The prevalence of diabetes was higher in studies from India and Malta compared to Japan, China, and the rest of Europe. The association between BMI and diabetes, adjusted for age, showed noticeable differences between the ethnic groups with an increase in prevalence starting at a BMI between 15 and 20 kg/m 2 in the Maltese and Indian populations compared to 25 kg/m 2 in Europeans. Conclusion/interpretation. The effect of BMI on the age-adjusted prevalence of Type 2 diabetes was modified by ethnicity with considerably lower thresholds in Indian and Maltese subjects compared to those from the rest of Europe. This difference should be reflected in national and international recommendations regarding "optimal" BMI.

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Section: Methodsmentioning

confidence: 99%

Age, body mass index and Type 2 diabetes?associations modified by ethnicity

Group

2003

Diabetologia

176

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“…Most patients with type 2 diabetes die from cardiovascular complications and end stage renal disease. Geographical variation can contribute in the magnitude of the problems and to overall morbidity and mortality [26][27][28] (Table 3).…”

Section: Clinical Features Of Type II Diabetesmentioning

confidence: 99%

“…MODY, inherited as an autosomal dominant trait, may result from mutations in glucokinase gene on chromosome 7p. MODY is defined as hyperglycemia diagnosed before the age of twenty-five years and treatable for over five years without insulin in cases where islet cell antibodies (ICA) are negative [26].…”

Section: Type 2 Diabetes Mellitusmentioning

confidence: 99%

Classification, Pathophysiology, Diagnosis and Management of Diabetes Mellitus

Baynest¹

2015

J Diabetes Metab

271

250

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Diabetes Mellitus (DM) is a metabolic disorder characterized by the presence of chronic hyperglycemia either immune-mediated (Type 1 diabetes), insulin resistance (Type 2), gestational or others (environment, genetic defects, infections, and certain drugs). According to International Diabetes Federation Report of 2011 an estimated 366 million people had DM, by 2030 this number is estimated to almost around 552 million. There are different approaches to diagnose diabetes among individuals, The 1997 ADA recommendations for diagnosis of DM focus on fasting Plasma Glucose (FPG), while WHO focuses on Oral Glucose Tolerance Test (OGTT). This is importance for regular follow-up of diabetic patients with the health care provider is of great significance in averting any long term complications.

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“…La estimación de la prevalencia de DMNID en una zona determinada es fundamental para montar programas de tratamiento adecuados, analizar los factores que afectan a la enfermedad y que se asocian con ella, y diseñar estudios epidemiológicos y políticas de salud (8,9). De ahí que se realizara el presente estudio, cuyo objetivo es estimar la prevalencia de DMNID y algunos de sus factores de riesgo en la población rural de Durango, México.…”

Section: Introductionunclassified