Literature DB >> 18927187

Waist circumference home measurement--a device to find out patients in cardiovascular risk.

Päivi E Korhonen1, Pekka T Jaatinen, Pertti T Aarnio, Ilkka M Kantola, Tarja Saaresranta.   

Abstract

BACKGROUND: New strategies are needed to prevent the global epidemic of diabetes and subsequent rise in cardiovascular diseases. We describe a community-based, two-stage screening strategy using home waist circumference measurement and a risk factor questionnaire as a primary screening tool.
METHODS: We mailed a tape for measurement of waist and a risk factor questionnaire to every inhabitant aged 45-70 years living in the rural town of Harjavalta in Finland. Thereafter we performed an oral glucose tolerance test, anthropometric variables and blood pressure of subjects having at least one risk factor for type 2 diabetes or cardiovascular disease. People with previously known diabetes or vascular disease were excluded.
RESULTS: Seventy-three percent (2085/2856) of the invited inhabitants participated, and 84% of the respondents had at least one pre-specified risk factor. Waist circumference >or=80 cm in women and >or=94 cm in men (n = 1168), positive metabolic syndrome criteria of the International Diabetes Federation (n = 681) or the Finnish Diabetes Risk Score questionnaire >or=12 points (n = 697) identified 95, 92 and 63% of the new cases of type 2 diabetes and 84, 75 or 62% of pre-diabetes, respectively.
CONCLUSION: The International Diabetes Federation criteria for elevated waist circumference are very sensitive but lack specificity in diagnosing glucose disorders. The criteria for metabolic syndrome and the Finnish Diabetes Risk Score questionnaire are more efficient tools for the selection of patients for further risk stratification in general practise.

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Year:  2008        PMID: 18927187     DOI: 10.1093/eurpub/ckn090

Source DB:  PubMed          Journal:  Eur J Public Health        ISSN: 1101-1262            Impact factor:   3.367


  7 in total

1.  Waist circumference a good indicator of future risk for type 2 diabetes and cardiovascular disease.

Authors:  Reijo Siren; Johan G Eriksson; Hannu Vanhanen
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2.  Validity of self-measured waist circumference in adults at risk of type 2 diabetes and cardiovascular disease.

Authors:  Ana María Contardo Ayala; Giel Nijpels; Jeroen Lakerveld
Journal:  BMC Med       Date:  2014-10-02       Impact factor: 8.775

3.  Body Roundness Index and Waist-Hip Ratio Result in Better Cardiovascular Disease Risk Stratification: Results From a Large Chinese Cross-Sectional Study.

Authors:  Ying Li; Yongmei He; Lin Yang; Qingqi Liu; Chao Li; Yaqin Wang; Pingting Yang; Jiangang Wang; Zhiheng Chen; Xin Huang
Journal:  Front Nutr       Date:  2022-03-10

4.  Screening for type 2 diabetes in a high-risk population: study design and feasibility of a population-based randomized controlled trial.

Authors:  Bart Klijs; Suzie J Otto; Robert J Heine; Yolanda van der Graaf; Jan J Lous; Harry J de Koning
Journal:  BMC Public Health       Date:  2012-08-17       Impact factor: 3.295

Review 5.  Systematic Review and Meta-Analysis of Response Rates and Diagnostic Yield of Screening for Type 2 Diabetes and Those at High Risk of Diabetes.

Authors:  Kamlesh Khunti; Hamidreza Mani; Felix Achana; Nicola Cooper; Laura J Gray; Melanie J Davies
Journal:  PLoS One       Date:  2015-09-01       Impact factor: 3.240

6.  Validating prediction scales of type 2 diabetes mellitus in Spain: the SPREDIA-2 population-based prospective cohort study protocol.

Authors:  Miguel Ángel Salinero-Fort; Carmen de Burgos-Lunar; José Mostaza Prieto; Carlos Lahoz Rallo; Juan Carlos Abánades-Herranz; Paloma Gómez-Campelo; Fernando Laguna Cuesta; Eva Estirado De Cabo; Francisca García Iglesias; Teresa González Alegre; Belén Fernández Puntero; Luis Montesano Sánchez; David Vicent López; Víctor Cornejo Del Río; Pedro J Fernández García; Concesa Sabín Rodríguez; Silvia López López; Pedro Patrón Barandío
Journal:  BMJ Open       Date:  2015-07-28       Impact factor: 2.692

7.  Waist circumference measures: cutoff analyses to detect obesity and cardiometabolic risk factors in a Southeast Brazilian middle-aged men population--a cross-sectional study.

Authors:  Alessandro de Oliveira; Paula G Cocate; Helen Hermana M Hermsdorff; Josefina Bressan; Mateus Freitas de Silva; Joel Alves Rodrigues; Antônio José Natali
Journal:  Lipids Health Dis       Date:  2014-09-01       Impact factor: 3.876

  7 in total

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