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Do body mass index trajectories affect the risk of type 2 diabetes? A case–control study

Overview of attention for article published in BMC Public Health, July 2015
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Citations

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8 Dimensions

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50 Mendeley
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Title
Do body mass index trajectories affect the risk of type 2 diabetes? A case–control study
Published in
BMC Public Health, July 2015
DOI 10.1186/s12889-015-2073-y
Pubmed ID
Authors

Yoshihiko Mano, Hiroshi Yokomichi, Kohta Suzuki, Atsunori Takahashi, Yoshioki Yoda, Masahiro Tsuji, Miri Sato, Ryoji Shinohara, Sonoko Mizorogi, Mie Mochizuki, Zentaro Yamagata

Abstract

Although obesity is a well-studied risk factor for diabetes, there remains an interest in whether "increasing body mass index (BMI)," "high BMI per se," or both are the actual risk factors for diabetes. The present study aimed to retrospectively compare BMI trajectories of individuals with and without diabetes in a case-control design and to assess whether increasing BMI alone would be a risk factor. Using comprehensive health check-up data measured over ten years, we conducted a case-control study and graphically drew the trajectories of BMIs among diabetic patients and healthy subjects, based on coefficients in fitted linear mixed-effects models. Patient group was matched with healthy control group at the onset of diabetes with an optimal matching method in a 1:10 ratio. Simple fixed-effects models assessed the differences in increasing BMIs over 10 years between patient and control groups. At the time of matching, the mean ages in male patients and controls were 59.3 years [standard deviation (SD) = 9.2] and 57.7 years (SD = 11.2), whereas the mean BMIs were 25.0 kg/m(2) (SD = 3.1) and 25.2 kg/m(2) (SD = 2.9), respectively. In female patients and controls, the mean ages were 61.4 years (SD = 7.9) and 60.1 years (SD = 9.6), whereas the mean BMIs were 24.8 kg/m(2) (SD = 3.5) and 24.9 kg/m(2) (SD = 3.4), respectively. The simple fixed-effects models detected no statistical significance for the differences of increasing BMIs between patient and control groups in males (P = 0.19) and females (P = 0.67). Sudden increases in BMI were observed in both male and female patients when compared with BMIs 1 year prior to diabetes onset. The present study suggested that the pace of increasing BMIs is similar between Japanese diabetic patients and healthy individuals. The increasing BMI was not detected to independently affect the onset of type 2 diabetes.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 18%
Student > Bachelor 8 16%
Student > Ph. D. Student 6 12%
Professor > Associate Professor 4 8%
Student > Postgraduate 3 6%
Other 8 16%
Unknown 12 24%
Readers by discipline Count As %
Medicine and Dentistry 19 38%
Biochemistry, Genetics and Molecular Biology 4 8%
Nursing and Health Professions 3 6%
Agricultural and Biological Sciences 3 6%
Social Sciences 2 4%
Other 5 10%
Unknown 14 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 August 2015.
All research outputs
#7,696,818
of 23,940,793 outputs
Outputs from BMC Public Health
#8,077
of 15,743 outputs
Outputs of similar age
#86,777
of 266,643 outputs
Outputs of similar age from BMC Public Health
#153
of 284 outputs
Altmetric has tracked 23,940,793 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 15,743 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one is in the 47th percentile – i.e., 47% 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 266,643 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 284 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.