Naijin Zhang

Dr. Naijin Zhang


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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NZNaijin Zhang
Naijin Zhang
YCYintao Chen
Yintao Chen
SCShuang Chen
Shuang Chen
PJPengyu Jia
Pengyu Jia
XGXiaofan Guo
Xiaofan Guo
YSYingxian Sun
Yingxian Sun
Studies to explore the relationship between self-reported snoring and dyslipidemia, especially high total cholesterol (TC) and high low-density lipoprotein cholesterol (LDL-C), in the general population are still lacking. Our study was designed to examine whether self-reported snoring is significantly associated with dyslipidemia and ascertain the effects of different snoring intensities on dyslipidemia. There were 10,139 participants in our study. After adjustment for all confounding factors, self-reported snoring (OR = 1.207; p = 0.003), moderate (OR = 1.229; p = 0.015), strong (OR = 1.222; p = 0.033), and very strong (OR = 1.467; p = 0.012) snoring intensity, but not low (OR = 1.110; p = 0.224) snoring intensity, were significantly associated with dyslipidemia among adults with BMI (body mass index) ≥ 25 kg/m2. In addition, self-reported snoring was significantly associated with high TC (OR = 1.167; p = 0.048) and high LDL-C (OR = 1.228; p = 0.044), rather than low HDL-C (OR = 1.171; p = 0.057) and high triglyceride (TG) (OR = 1.110; p = 0.141). In conclusion, adults with BMI ≥ 25 kg/m2 and who experience snoring, especially moderate, strong, and very strong intensity levels of snoring, should be on the alert regarding the possibility of dyslipidemia, especially high LDL-C and high TC.

3 June 2016 in Psychology, Health & Medicine
Verified
Journal Article
Closed access
NZNaijin Zhang
Naijin Zhang
YCYintao Chen
Yintao Chen
XGXiaofan Guo
Xiaofan Guo
GSGuozhe Sun
Guozhe Sun
YSYingxian Sun
Yingxian Sun
Till now, no evidence illustrates the prevalence and predictors of metabolically healthy obesity (MHO) in rural areas of China. The objective of this study was, firstly, to examine the prevalence of MHO in rural areas of China, and identify contributing determinants of MHO, Secondly, to comprehensively investigate to the different characteristics between MHO and metabolically unhealthy obesity (MUO). We conducted a population-based cross-sectional study of 2037 participants with obesity in rural Liaoning Province during 2012–2013. Obesity was defined as BMI ≥28 kg/m2 and metabolically healthy was defined as not having the metabolic syndrome. The prevalence of MHO was 23.1%, and significantly decreased with advancing age in female group. However there was no significant tendency with advancing age in male group. Independent determinant factors for MHO were age <55 years (odds ratio [OR] 1.659; p = .001), non-current smoking (OR 1.397; p = .038), pre-menopause (OR 1.648; p = .030) and non-hyperuricemia (OR 2.317; p < .001), whereas race, gender, diet score, current drinking, marriage, sleep duration, hyperhomocysteinemia, levels of physical activity, annual income and educational status were not significant contributors. In conclusion, we found that age <55 years, non-current smoking, pre-menopause and non-hyperuricemia were identified as independent determinant factors for MHO in this population.

1 April 2017 in Biochemical and Biophysical Research Communications
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Journal Article
Closed access
YCYintao Chen
Yintao Chen
SYShasha Yu
Shasha Yu
NZNaijin Zhang
Naijin Zhang
YSYingxian Sun
Yingxian Sun
SCShuang Chen
Shuang Chen
YSYingxian Sun
Yingxian Sun

1 October 2015 in JACC
Verified
Journal Article
Closed access
NZNaijin Zhang
Naijin Zhang
XGXiaofan Guo
Xiaofan Guo
YCYintao Chen
Yintao Chen
GSGuozhe Sun
Guozhe Sun
DDDongxue Dai
Dongxue Dai
YSYingxian Sun
Yingxian Sun