Literature DB >> 9476153

Using the World Wide Web--a new approach to risk identification of diabetes mellitus.

T U Baehring1, H Schulze, S R Bornstein, W A Scherbaum.   

Abstract

Diabetes mellitus is a major health problem with a rising tendency world-wide. A new strategy for risk evaluation and data collection of undiagnosed non-insulin-dependent diabetes mellitus (NIDDM) using the World Wide Web (WWW) is presented. An easy-to-handle questionnaire on typical risk factors was converted into an interactive WWW document. The Internet provides the suitable platform for the net-based distribution of the questionnaire form as well as the computer-assisted entering and interpretation of the data (http:(/)/www.uni-leipzig.de/-diabetes). The analysis program, installed on our WWW server, interprets the information and sends the assessment on-line back to the inquiring user PC. The data are also collected anonymously in a database for epidemiological studies. In the test period, 744 world-wide accesses were registered: 433 men, mean age 39.8 +/- 14.4 years (range 10-83) and 311 women, mean age 36.7 +/- 12.7 years (range 11-77). An increased risk for undiagnosed diabetes was identified to 43.6%. The risk profile of male and female users showed no significant gender-related differences. Using the WWW technology can support early detection and adequate treatment of undiagnosed diabetes. This innovative strategy to screen for a high risk profile is an useful, cost-effective and up-to-date tool for broad community health education and epidemiological studies world-wide.

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Mesh:

Year:  1997        PMID: 9476153     DOI: 10.1016/s1386-5056(97)00049-x

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  11 in total

1.  [Model trial: use and evaluation of a problem-oriented learning program in internal medicine].

Authors:  T G Gerike; T U Baehring; B Hentschel; A Fischer; W A Scherbaum
Journal:  Med Klin (Munich)       Date:  1999-02-15

Review 2.  Health benefits and risks of the Internet.

Authors:  Judith A Levy; Rita Strombeck
Journal:  J Med Syst       Date:  2002-12       Impact factor: 4.460

Review 3.  Collecting behavioural data using the world wide web: considerations for researchers.

Authors:  S D Rhodes; D A Bowie; K C Hergenrather
Journal:  J Epidemiol Community Health       Date:  2003-01       Impact factor: 3.710

4.  Population-based stepwise screening for unrecognised Type 2 diabetes is ineffective in general practice despite reliable algorithms.

Authors:  J O Christensen; A Sandbaek; T Lauritzen; K Borch-Johnsen
Journal:  Diabetologia       Date:  2004-09-08       Impact factor: 10.122

5.  Menopausal symptom experience: an online forum study.

Authors:  Eun-Ok Im; Yi Liu; Sharon Dormire; Wonshik Chee
Journal:  J Adv Nurs       Date:  2008-03-25       Impact factor: 3.187

6.  Subethnic differences in the menopausal symptom experience of Asian American midlife women.

Authors:  Eun-Ok Im; Wonshik Chee
Journal:  J Transcult Nurs       Date:  2010-04       Impact factor: 1.959

7.  Asian American midlife women's attitudes toward physical activity.

Authors:  Eun-Ok Im; Young Ko; Hyenam Hwang; Wonshik Chee; Alexa Stuifbergen; Hannah Lee; Eunice Chee
Journal:  J Obstet Gynecol Neonatal Nurs       Date:  2012-07-12

Review 8.  Enhancing support via interactive technologies.

Authors:  John D Piette
Journal:  Curr Diab Rep       Date:  2002-04       Impact factor: 4.810

Review 9.  Mobile Applications for Type 2 Diabetes Risk Estimation: a Systematic Review.

Authors:  Nino Fijacko; Petra Povalej Brzan; Gregor Stiglic
Journal:  J Med Syst       Date:  2015-08-25       Impact factor: 4.460

10.  Psychometric properties of the KPAS in diverse ethnic groups of midlife women.

Authors:  Bokim Lee; Eun-Ok Im; Wonshik Chee
Journal:  West J Nurs Res       Date:  2009-12       Impact factor: 1.967

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