Zhou Chaomin

Ms. Zhou Chaomin

Guizhou Provincial People's Hospital
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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1 August 2020 in International Journal of Antimicrobial Agents
Verified
Journal Article
Closed access
HSHua Shi
Hua Shi
ZCZhou Chaomin
Zhou Chaomin
PHPinghong He
Pinghong He
SHSheng Huang
Sheng Huang
YDYoujun Duan
Youjun Duan
YZYan Zha
Yan Zha

9 April 2019 in Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity
Verified
Journal Article
Closed access
PDF file
ZCZhou Chaomin
Zhou Chaomin
LZLin Zhan
Lin Zhan
JYJing Yuan
Jing Yuan
XTXiaoya Tong
Xiaoya Tong
YPYanzhe Peng
Yanzhe Peng
YZYan Zha
Yan Zha

2 April 2022 in Journal of Renal Nutrition
Verified
Journal Article
Closed access
PDF file
ZCZhou Chaomin
Zhou Chaomin
XLXin Lin
Xin Lin
GMGuoying Ma
Guoying Ma
JYJing Yuan
Jing Yuan
YZYan Zha
Yan Zha

24 March 2014 in PLOS ONE
Verified
Journal Article
Open access
PDF file
YLYongqiang Li
Yongqiang Li
ZCZhou Chaomin
Zhou Chaomin
XSXiaofei Shao
Xiaofei Shao
Xinyu LiuXinyu Liu
Xinyu Liu
Jia GuoJia Guo
Jia Guo
HZHequn Zou
Hequn Zou
To examine the relationship between the HW phenotype and risk for CKD in a community population aged 40 years and older. A cross-sectional study was conducted in Zhuhai from June to October 2012. The participants were divided into three groups: Group 1, Waist circumference >90 cm in men or >85 cm in women and triglycerides ≥2 mmol/l; Group 3, Waist circumference ≤90 cm in men or ≤85 cm in women and triglycerides <2 mmol/l; Group 2, The remaining participants. The prevalence of the three subgroups and CKD were determined. The association between HW phenotype and CKD was then analyzed using SPSS (version 13.0). After adjusting for age and sex, Group 1 was associated with CKD (OR 3.08, 95% CI 2.01, 4.73, P<0.001), when compared with Group 3. Further adjustment for factors which were potential confounders and unlikely to be in the causal pathway between the HW phenotype and CKD, Group 1 was still significantly associated with CKD. The OR for CKD was 2.65 (95% CI 1.65, 4.26, P<0.001). When adjusted for diabetes and hypertension, the association of Group 1 and CKD was still significant (OR 2.09, 95% CI 1.26, 3.45, P = 0.004). Group 2 was associated with CKD (OR 1.81, 95% CI 1.29, 2.53, P = 0.001), when compared with Group 3. Further adjustment for factors which were potential confounders, Group 2 was still significantly associated with CKD. The OR for CKD was 1.75 (95% CI 1.22, 2.51, P = 0.002). When adjusted for diabetes and hypertension, the association between Group 2 and CKD still existed. The OR for CKD was 1.48 (95% CI 1.01, 2.16, P = 0.046). Our results showed that HW phenotype was associated with CKD in the population aged 40 years and older.

16 August 2018 in BMC Nephrology
Verified
Journal Article
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ZCZhou Chaomin
Zhou Chaomin
HPHongying Peng
Hongying Peng
JYJing Yuan
Jing Yuan
XLXin Lin
Xin Lin
YZYan Zha
Yan Zha
HCHui Chen
Hui Chen
Obesity is a well-established risk factor for atherosclerosis. However, it is unknown which measure of adiposity best relates to atherosclerosis in relatively lean maintenance hemodialysis (MHD) patients. We aimed to explore and compare the associations between different adiposity indices reflecting general, abdominal, visceral adiposity and arteriosclerosis risk with atherogenic index of plasma(AIP) in relatively lean MHD patients. We conducted a multicenter, cross-sectional study in Guizhou Province, Southwest China. General/abdominal adiposity indices like body mass index (BMI), waist circumference(WC), waist-height ratio(WHtR), conicity index (Ci) and visceral obesity indices including visceral adiposity index (VAI), lipid accumulation product (LAP) and the hypertriglyceridemic waist phenotype (HW phenotype) were recorded. Univariate and multivariate linear regression models were used. All adiposity indices correlated positively with AIP in univariate analysis both in men and women except for Ci. After adjustment for age and traditional atherosclerosis risk factors, BMI, WC, WHtR, VAI and LAP still had associations with AIP both in men (β = 0.265, 0.153, 0.16, 0.788 and 0.74, respectively, all P < 0.001) and women (β = 0.34,0.199, 0.21, 0.83 and 0.74, respectively, all P < 0.001). After further adjustment for BMI, associations between AIP and VAI, LAP remained significant, but associations between WC, WHtR and AIP disappeared. The HW phenotype, VAI, and LAP, validated and convenient markers of visceral obesity, were superior to classical anthropometric general/ abdominal adiposity indices for atherosclerosis risk assessment, especially in relatively lean MHD patients aged 40 years or older.

19 December 2021 in BMC Endocrine Disorders
Verified
Journal Article
Open access
PDF file
ZCZhou Chaomin
Zhou Chaomin
YPYanzhe Peng
Yanzhe Peng
WJWenyong Jiang
Wenyong Jiang
JYJing Yuan
Jing Yuan
YZYan Zha
Yan Zha
Background: Normal-weight maintenance hemodialysis (MHD) patients with abdominal obesity exhibited a more proatherogenic profile than overweight and obesity patients with abdominal obesity, highlighting the importance of early identification of metabolically unhealthy nonobese (MUNO) in this population. Visceral fat accumulation plays a crucial role in the development of MUNO. Lipid accumulation product (LAP), visceral adiposity index (VAI) have been proved as reliable visceral obesity markers. The Chinese visceral adiposity index (CVAI) and a body shape index (ABSI) are newly discovered indexes of visceral obesity and have been reported to be associated with multiple metabolic disorders. There are limited studies investigating the associations between different visceral obesity indices and risk of MUNO, especially in hemodialysis patients. Moreover, no general agreement has been reached to date regarding which of these obesity indices performs best in identifying MUNO. We aimed to investigate the prevalence of MUNO in MHD patients and compare the associations between different adiposity indices (CVAI, ABSI,VAI, LAP, body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHtR)) with MUNO risk in this population.Methods: We conducted a multi-center cross-sectional study in Guizhou Province, Southwest China. 1302 nonobese adult MHD patients were included in our study. MUNO was defined as being nonobese and having the presence of > = 2 components of metabolic syndrome (MetS). Nonobese was defined as BMI less than 25 kg/m2. VAI, LAP, CVAI, ABSI, BMI, WC and WHtR were calculated. Logistic regression analyses and receiver operator curve (ROC) analyses were performed.Results65.6% participants were metabolically unhealthy. The ROC curve analysis demonstrated that of the seven obesity indices tested, the VAI (AUC 0.84 for women and 0.79 for men) followed by LAP (AUC 0.78 for women and 0.72 for men) had the highest diagnostic accuracy for MUNO phenotype while ABSI exhibited the lowest AUC value for identifying MUNO phenotypeConclusions: Metabolically unhealthy is highly prevalent in nonobese MHD patients. VAI and LAP outperformed CVAI in discriminating MUNO in MHD patients. Though ABSI could be a weak predictor of MUNO, it is not better than WHtR, WC and BMI.