Literature DB >> 20519877

Appropriate waist circumference cut-offs to predict diabetes in the Korean population - the Korean Genome and Epidemiology Study -.

Sun-Ja Choi1, Bhumsuk Keam, Sung-Hee Park, Hyun-Young Park.   

Abstract

BACKGROUND: Waist circumference (WC) has been recommended as a screening test to identify individuals at high risk for diabetes. The aim of the present study was to identify the optimal WC cut-off to predict the development of diabetes in non-diabetic Korean subjects. METHODS AND
RESULTS: The Korean Genome and Epidemiology Study is a community-based prospective cohort study of 10,038 individuals over the age of 40, and biennial follow ups were conducted. In the present study 6,206 non-diabetic individuals (2,947 men and 3,259 women) participated. The incidence of diabetes was 22.1 cases/1,000 person-years for men and 17.0 cases/1,000 person-years for women. The incidence rate of diabetes was significantly increased as WC increased in both genders. The sensitivity, specificity, and the distance in the receiver operating characteristic curve indicated that the optimal WC cut-offs to predict diabetes were 85 cm for men and 80 cm for women.
CONCLUSIONS: WC may serve as a simple, precise marker for individuals who are at risk of developing diabetes. The results suggest that a WC of 85 cm for men and 80 cm for women is an appropriate cut-off to predict diabetes in the Korean population.

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Year:  2010        PMID: 20519877     DOI: 10.1253/circj.cj-09-0739

Source DB:  PubMed          Journal:  Circ J        ISSN: 1346-9843            Impact factor:   2.993


  5 in total

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Journal:  Endocrinol Metab (Seoul)       Date:  2014-12-29

2.  Anthropometric indices as predictors of hypertension among men and women aged 40-69 years in the Korean population: the Korean Genome and Epidemiology Study.

Authors:  Joung-Won Lee; Nam-Kyoo Lim; Tae-Hwa Baek; Sung-Hee Park; Hyun-Young Park
Journal:  BMC Public Health       Date:  2015-02-13       Impact factor: 3.295

3.  Non-laboratory-based risk assessment model for case detection of diabetes mellitus and pre-diabetes in primary care.

Authors:  Weinan Dong; Tsui Yee Emily Tse; Lynn Ivy Mak; Carlos King Ho Wong; Yuk Fai Eric Wan; Ho Man Eric Tang; Weng Yee Chin; Laura Elizabeth Bedford; Yee Tak Esther Yu; Wai Kit Welchie Ko; Vai Kiong David Chao; Choon Beng Kathryn Tan; Lo Kuen Cindy Lam
Journal:  J Diabetes Investig       Date:  2022-03-28       Impact factor: 3.681

Review 4.  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

5.  Optimal waist circumference cut-off points and ability of different metabolic syndrome criteria for predicting diabetes in Japanese men and women: Japan Epidemiology Collaboration on Occupational Health Study.

Authors:  Huanhuan Hu; Kayo Kurotani; Naoko Sasaki; Taizo Murakami; Chii Shimizu; Makiko Shimizu; Tohru Nakagawa; Toru Honda; Shuichiro Yamamoto; Hiroko Okazaki; Satsue Nagahama; Akihiko Uehara; Makoto Yamamoto; Kentaro Tomita; Teppei Imai; Akiko Nishihara; Takeshi Kochi; Masafumi Eguchi; Toshiaki Miyamoto; Ai Hori; Keisuke Kuwahara; Shamima Akter; Ikuko Kashino; Isamu Kabe; Weiping Liu; Tetsuya Mizoue; Naoki Kunugita; Seitaro Dohi
Journal:  BMC Public Health       Date:  2016-03-03       Impact factor: 3.295

  5 in total

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