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. 2017 Nov 10;14(11):1368.
doi: 10.3390/ijerph14111368.

Associations of Fasting Blood Glucose with Influencing Factors in Northeast China: A Quantile Regression Analysis

Xin Guo  1 , Li Shen  2 , Jing Dou  3 , Yaogai Lv  4 , Anning Zhang  5 , Fanchao Shi  6 , Zhiqiang Xue  7 , Yaqin Yu  8 , Lina Jin  9 , Yan Yao  10
Affiliations

Associations of Fasting Blood Glucose with Influencing Factors in Northeast China: A Quantile Regression Analysis

Xin Guo et al. Int J Environ Res Public Health. .

Abstract

Background: Diabetes mellitus (DM) has become a major public health problem in China. Although a number of researchers have investigated DM risk factors, little is known about the associations between values of fasting blood glucose (FBG) and influencing factors. This study aims to explore these associations by the quantile regression (QR) model. Methods: A cross-sectional survey based on a sample of 23,050 adults aged 18 to 79 years was conducted in Jilin in 2012, and some subjects were excluded due to missing values with respect to necessary variables or having glycemic control, in accordance with the purposes of this study. Finally, in total 14,698 people were included in this study. QR was performed to identify the factors influencing the level of FBG in different quantiles of FBG. Results: The distribution of FBG status was different between males and females (χ² = 175.30, p < 0.001). The QR model provided more detailed views on the associations of FBG with different factors and revealed apparent quantile-related patterns separately for different factors. Body mass index (BMI) was positively associated with the low and middle quantiles of FBG. Waist circumference (WC) had a positive association with the high quantiles of FBG. Conclusions: FBG had a positive association with BMI in normal FBG, and a positive association with WC in high FBG. Diet and alcohol intake were associated with FBG in normal FBG. FBG was more likely to be elevated in the elderly, female workers, and people with family history of DM.

Keywords: diabetes mellitus; lifestyle; quantile regression.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
The distribution of FBG for males and females (percentage diagram). (a Px was used to represent the percentile x; IFG: impaired fasting glycaemia; DM: diabetes mellitus.).
Figure 2
Figure 2
The distribution of FBG for males and females (density diagram).
See this image and copyright information in PMC

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