title: Comparison of body mass index, waist circumference, and waist-to-height ratio for predicting the clustering of cardiometabolic risk factors by age in Japanese workers--Japan Epidemiology Collaboration on Occupational Health study.
abstract: BACKGROUND
  Waist-to-height ratio (WHtR) has been suggested as a better screening tool than body mass index (BMI) and waist circumference (WC) for assessing cardiometabolic risk. However, most previous studies did not consider age.
  
  
  RESULTS
  Participants were 45,618 men and 8,092 women aged 15-84 years who received periodic health checkups in 9 companies in Japan. Clustering of cardiometabolic risk factors was defined by the existence of 2 or more of high blood pressure, hyperglycemia, and dyslipidemia. In both men and women, unadjusted area under the curve (AUC) of the receiver-operating characteristic curve for WHtR in detecting the clustering of cardiometabolic risk factors was significantly higher than that for either BMI or WC; the AUCs for WHtR, BMI, and WC, respectively, were 0.734, 0.705, and 0.717 in men and 0.782, 0.762, and 0.755 in women. After adjustment for age, however, such differences were not observed; the corresponding values were 0.702, 0.701, and 0.696 in men. In women, the age-adjusted AUC for BMI was slightly higher than for other indices (WHtR, 0.721; BMI, 0.726; WC, 0.707).
  
  
  CONCLUSIONS
  The screening performance of WHtR for detecting the clustering cardiometabolic risk factors was not superior to that of BMI.
authors.affiliation: Department of Safety and Health, Tokyo Gas Co, Ltd.
authors.forename: Ai
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authors.lastname: Hori
authors.forename: Akiko
authors.initials: A
authors.lastname: Nanri
authors.forename: Nobuaki
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authors.lastname: Sakamoto
authors.forename: Keisuke
authors.initials: K
authors.lastname: Kuwahara
authors.forename: Satsue
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authors.lastname: Nagahama
authors.forename: Noritada
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authors.lastname: Kato
authors.forename: Kenji
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authors.forename: Kengo
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authors.forename: Mayumi
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authors.forename: Aki
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authors.forename: Takeshi
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authors.forename: Masafumi
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authors.lastname: Eguchi
authors.forename: Teppei
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authors.lastname: Imai
authors.forename: Akiko
authors.initials: A
authors.lastname: Nishihara
authors.forename: Kentaro
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authors.lastname: Tomita
authors.forename: Taizo
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authors.lastname: Murakami
authors.forename: Chii
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authors.lastname: Shimizu
authors.forename: Makiko
authors.initials: M
authors.lastname: Shimizu
authors.forename: Toshiaki
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authors.lastname: Miyamoto
authors.forename: Akihiko
authors.initials: A
authors.lastname: Uehara
authors.forename: Makoto
authors.initials: M
authors.lastname: Yamamoto
authors.forename: Tohru
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authors.lastname: Nakagawa
authors.forename: Shuichiro
authors.initials: S
authors.lastname: Yamamoto
authors.forename: Toru
authors.initials: T
authors.lastname: Honda
authors.forename: Hiroko
authors.initials: H
authors.lastname: Okazaki
authors.forename: Naoko
authors.initials: N
authors.lastname: Sasaki
authors.forename: Kayo
authors.initials: K
authors.lastname: Kurotani
authors.forename: Ngoc Minh
authors.initials: NM
authors.lastname: Pham
authors.forename: Isamu
authors.initials: I
authors.lastname: Kabe
authors.forename: Tetsuya
authors.initials: T
authors.lastname: Mizoue
authors.forename: Tomofumi
authors.initials: T
authors.lastname: Sone
authors.forename: Seitaro
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authors.lastname: Dohi
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D044466:Asian People; D015992:Body Mass Index; D050171:Dyslipidemias / Q000453:epidemiology / Q000473:pathology / Q000503:physiopathology; D005260:Female; D006801:Humans; D006943:Hyperglycemia / Q000453:epidemiology / Q000473:pathology / Q000503:physiopathology; D006973:Hypertension / Q000453:epidemiology / Q000473:pathology / Q000503:physiopathology; D007564:Japan / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D012307:Risk Factors; D055105:Waist Circumference