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Objective:To assess the association between blood pressure and the risks of diabetes mellitus.Methods:Screening and intervention were conducted from 2015 to 2019 for high-risk subjects of cardiovascular diseases in eight counties of Henan. Information on demographic characteristics, lifestyle behaviors, and anthropometric measurements were obtained via a questionnaire. Fasting blood samples were collected for blood glucose and serum lipids. The R 3.6.3 software was used to analyze the relationship between blood pressure and diabetes mellitus.Results:The detection rate of diabetes mellitus was 23.5% among 120 040 participants aged 35-75 years. The mean fasting blood glucose level was significantly different among normotensive, prehypertensive, and hypertensive patients. Compared to normotensive patients, prehypertension and hypertension had adjusted ORs of 34%( OR=1.34, 95 CI%: 1.30-1.37) and 85%( OR=1.85, 95 CI%: 1.81-1.89). The corresponding ORs were 1.81(1.77-1.85) in controlled and 2.17(2.06-2.28) in uncontrolled patients. A subgroup analysis showed the same trend, where the risk of diabetes increased with blood pressure ( P<0.05). Conclusions:People with elevated BP may increase their risk of diabetes, while the risk declines when BP is under control. Therefore, targeted measures should be taken to reduce the risk.
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Background and purpose:Cancer is a major public health issue in China and worldwide, which se-riously threatens human beings as well as social and economic development. This study explored the relationships between the cancer distribution characteristics and cancer prevalences in Chinese cancer surveillance regions to provide scientific evidence for cancer prevention and management.Methods:The data were obtained from the book named“Prevalence and Mortality of Cancer in China from 2003-2007” including incidence of 23 cancer types in 32 regions of China published by the Academy of Military Medical Sciences of the Chinese PLA in 2012. Correspondence analysis was used to gain the relation between the prevalence and area distribution. Cluster analysis was used to obtain the classifications with special significance by putting the cancers or regions with similar characteristics into a cluster.Results:Esophageal cancer, gastric cancer, liver cancer, lung cancer, colorectal and anal cancer have high incidence and mortality in both genders. The districts with high incidence of esophageal cancer and gastric cancer were grouped together. The counties or cities (Shexian, Yangcheng, Linzhou, Yanting, Yangzhong and Jianhu) with high incidence of esophageal cancer and gastric cancer were classified into same cluster frequently. Fusui was grouped along because of the lower incidence of various cancers than the national average except for liver cancer. Guangzhou, Sihui and Zhongshan were the districts with high incidence of nasopharyngeal carcinoma in both genders. Rural areas in Qidong and Haimen were classified into a cluster in male and total data for the high incidence of liver cancer. Colorectal cancer, anal cancer and breast cancer in women also had high incidence in urban areas. Cervical cancer had the second level high incidence in women following diseases of digestive system, breast cancer and lung cancer.Conclusion:Similar pathogenic factors may exist in counties or cities of Shexian, Cixian, Yangcheng,etc, because of the high prevalence of esophageal cancer. Similar pathogenic factors may also exist in other districts or cancers that were classified into the same cluster.
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Objective To explore the association between the CpG methylation level of positive regulatory domain containing 16(PRDM16)gene promoter and obesity or body mass index(BMI). Methods A total of 116 patients(91 female adults and 25 male adults) with abdominal operation in a municipal hospital of Henan province were enrolled in this study and they were divided into two groups:normal weight group(n=50), overweight or obesity group ( n=66 ) . Fasting plasma glucose, total cholesterol, triglyceride, high density lipoprotein and low density lipoprotein were measured in peripheral blood. DNA was extracted from white blood cells in peripheral blood and modified by bisulphite. Then the CpG methylation level of PRDM16 gene promoter was detected by mass spectrometry. Finally, all data were analyzed by IBM SPSS Statistics 21. 0 at the 5% level. The essential features and biochemical indexes of research objects between two groups were compared by two independent sample t-test, except chi-square test for gender. The correlation between CpG methylation level of PRDM16 gene and BMI was analyzed by multiple linear regression. Results There were no significant differences ( P>0. 05 ) in the methylation levels of PRDM16 gene's effective CpG sites(including CpG5. 6, CpG8, CpG9, CpG12, CpG13. 14. 15, CpG26. 27, CpG28 and CpG29) between two groups. The methylation level of CpG26. 27 had positive linear relation with BMI in overweight or obesity group with the standardized coefficients of 46. 928(P=0. 015), which means the higher the methylation level is, the higher the BMI would be. Conclusion The CpG26. 27 methylation level of PRDM16 gene promoter region may have relationship with the risk of obesity.
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[Summary] A selection of 528 unrelated subjects were enrolled(198 males, 330 females) with the mean age of(52. 23 ± 13. 41) years old. According to body mass index, 253 persons belonged to the normal weight group and 275 persons overweight/ obesity group. A total of 10 SNPs in CIDEB and CIDEC genes were detected. SHEsis online were used to get the haplotypes of these two genes. The relationship between above SNPs and obesity were analyzed under additive inheritance pattern. The main effects and interaction on obesity induced by two genes’ haplotypes were analyzed by logistic regression. rs2144493 in CIDEB gene was associated with obesity, C was a protective alleles, OR (95% CI) equals 0. 722(0. 525-0. 992). CCTT haplotype of CIDEB gene carriers and GCG haplotype of CIDEC gene carriers were more prone to obesity or overweight, there was an interaction between the haplotypes of 2 genes. CIDEB, CIDEC haplotypes may play independent and interactive roles in causing obesity.