Literature DB >> 9015664

Prediction of diabetes mellitus (NIDDM).

C Ito1, R Maeda, K Nakamura, H Sasaki.   

Abstract

This study was made to analyze predictive NIDDM markers using a long-term GTT follow-up observation period of 1-30 years. Subjects of this study were 5446 cases (3994 males, 1452 females). Results are as follows: (1) NIDDM development rate increased gradually with increasing 2 h-PG levels at GTT, but for groups with 2 h-PG > or = 170 mg/dl, the rate rose rapidly. (2) PG at GTT was higher in the NIDDM development group than in the control group. Mean 1 h-PG reached > or = 200 mg/dl for 4 years before onset in the NIDDM group. Frequency of 1 h-PG > or = 200 mg/dl was 54% 4 years before and 67% 1 year before onset. (3) The highest NIDDM prediction accuracy was in 1 h-PG levels of 200 mg/dl or more and/or 2 h-PG levels of 170 mg/dl or more. Sensitivity was 75.2%, and specificity, 63.4% within 3 years before onset. (4) With addition of delta IRI/delta PG, sensitivity increased, but specificity decreased. (5) The highest relationship with NIDDM development was for high PG levels (1 h-PG > or = 200 mg/dl and/or 2 h-PG > or = 170 mg/dl), the odds ratio being 5.65. The odds ratio of delta IRI/delta PG was lower than ratio of high PG levels. (6) NIDDM development rate increased about 50% in the under-60-years age group and in the group of BMI > or = 25.

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Year:  1996        PMID: 9015664

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  8 in total

1.  The role of ethnicity in predicting diabetes risk at the population level.

Authors:  Laura C Rosella; Cameron A Mustard; Therese A Stukel; Paul Corey; Jan Hux; Les Roos; Douglas G Manuel
Journal:  Ethn Health       Date:  2012-01-31       Impact factor: 2.772

Review 2.  Incidence of type 2 diabetes in Japan: a systematic review and meta-analysis.

Authors:  Atsushi Goto; Maki Goto; Mitsuhiko Noda; Shoichiro Tsugane
Journal:  PLoS One       Date:  2013-09-06       Impact factor: 3.240

3.  Prevention of type 2 diabetes in a primary healthcare setting: three-year results of lifestyle intervention in Japanese subjects with impaired glucose tolerance.

Authors:  Naoki Sakane; Juichi Sato; Kazuyo Tsushita; Satoru Tsujii; Kazuhiko Kotani; Kokoro Tsuzaki; Makoto Tominaga; Shoji Kawazu; Yuzo Sato; Takeshi Usui; Isao Kamae; Toshihide Yoshida; Yutaka Kiyohara; Shigeaki Sato; Hideshi Kuzuya
Journal:  BMC Public Health       Date:  2011-01-17       Impact factor: 3.295

Review 4.  Risk assessment tools for identifying individuals at risk of developing type 2 diabetes.

Authors:  Brian Buijsse; Rebecca K Simmons; Simon J Griffin; Matthias B Schulze
Journal:  Epidemiol Rev       Date:  2011-05-27       Impact factor: 6.222

5.  A population-based risk algorithm for the development of diabetes: development and validation of the Diabetes Population Risk Tool (DPoRT).

Authors:  Laura C Rosella; Douglas G Manuel; Charles Burchill; Thérèse A Stukel
Journal:  J Epidemiol Community Health       Date:  2010-06-01       Impact factor: 3.710

6.  Effect of baseline HbA1c level on the development of diabetes by lifestyle intervention in primary healthcare settings: insights from subanalysis of the Japan Diabetes Prevention Program.

Authors:  Naoki Sakane; Juichi Sato; Kazuyo Tsushita; Satoru Tsujii; Kazuhiko Kotani; Makoto Tominaga; Shoji Kawazu; Yuzo Sato; Takeshi Usui; Isao Kamae; Toshihide Yoshida; Yutaka Kiyohara; Shigeaki Sato; Kokoro Tsuzaki; Kaoru Takahashi; Hideshi Kuzuya
Journal:  BMJ Open Diabetes Res Care       Date:  2014-04-23

7.  Japan Diabetes Outcome Intervention Trial-1 (J-DOIT1), a nationwide cluster randomized trial of type 2 diabetes prevention by telephone-delivered lifestyle support for high-risk subjects detected at health checkups: rationale, design, and recruitment.

Authors:  Naoki Sakane; Kazuhiko Kotani; Kaoru Takahashi; Yoshiko Sano; Kokoro Tsuzaki; Kentaro Okazaki; Juichi Sato; Sadao Suzuki; Satoshi Morita; Kazuo Izumi; Masayuki Kato; Naoki Ishizuka; Mitsuhiko Noda; Hideshi Kuzuya
Journal:  BMC Public Health       Date:  2013-01-29       Impact factor: 3.295

8.  Effects of telephone-delivered lifestyle support on the development of diabetes in participants at high risk of type 2 diabetes: J-DOIT1, a pragmatic cluster randomised trial.

Authors:  Naoki Sakane; Kazuhiko Kotani; Kaoru Takahashi; Yoshiko Sano; Kokoro Tsuzaki; Kentaro Okazaki; Juichi Sato; Sadao Suzuki; Satoshi Morita; Yoshitake Oshima; Kazuo Izumi; Masayuki Kato; Naoki Ishizuka; Mitsuhiko Noda; Hideshi Kuzuya
Journal:  BMJ Open       Date:  2015-08-19       Impact factor: 2.692

  8 in total

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