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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…

Overview of attention for article published in BMC Public Health, March 2016
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Title
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
Published in
BMC Public Health, March 2016
DOI 10.1186/s12889-016-2856-9
Pubmed ID
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, the Japan Epidemiology Collaboration on Occupational Health Study Group

Abstract

We sought to establish the optimal waist circumference (WC) cut-off point for predicting diabetes mellitus (DM) and to compare the predictive ability of the metabolic syndrome (MetS) criteria of the Joint Interim Statement (JIS) and the Japanese Committee of the Criteria for MetS (JCCMS) for DM in Japanese. Participants of the Japan Epidemiology Collaboration on Occupational Health Study, who were aged 20-69 years and free of DM at baseline (n = 54,980), were followed-up for a maximum of 6 years. Time-dependent receiver operating characteristic analysis was used to determine the optimal cut-off points of WC for predicting DM. Time-dependent sensitivity, specificity, and positive and negative predictive values for the prediction of DM were compared between the JIS and JCCMS MetS criteria. During 234,926 person-years of follow-up, 3180 individuals developed DM. Receiver operating characteristic analysis suggested that the most suitable cut-off point of WC for predicting incident DM was 85 cm for men and 80 cm for women. MetS was associated with 3-4 times increased hazard for developing DM in men and 7-9 times in women. Of the MetS criteria tested, the JIS criteria using our proposed WC cut-off points (85 cm for men and 80 cm for women) had the highest sensitivity (54.5 % for men and 43.5 % for women) for predicting DM. The sensitivity and specificity of the JCCMS MetS criteria were ~37.7 and 98.9 %, respectively. Data from the present large cohort of workers suggest that WC cut-offs of 85 cm for men and 80 cm for women may be appropriate for predicting DM for Japanese. The JIS criteria can detect more people who later develop DM than does the JCCMS criteria.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 15%
Student > Master 6 12%
Student > Bachelor 6 12%
Student > Doctoral Student 6 12%
Student > Ph. D. Student 5 10%
Other 8 15%
Unknown 13 25%
Readers by discipline Count As %
Medicine and Dentistry 18 35%
Nursing and Health Professions 8 15%
Social Sciences 4 8%
Psychology 2 4%
Arts and Humanities 2 4%
Other 4 8%
Unknown 14 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 March 2016.
All research outputs
#14,839,922
of 22,852,911 outputs
Outputs from BMC Public Health
#10,923
of 14,887 outputs
Outputs of similar age
#167,521
of 298,618 outputs
Outputs of similar age from BMC Public Health
#172
of 227 outputs
Altmetric has tracked 22,852,911 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,887 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 298,618 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 227 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.