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Zhang J, Yao X, Chen Y, Feng Q, Zhang Y, Jiang T, Tang S, Zhang N, Dai F, Hu H, Zhang Q. Degree of Blood Glucose Control and Risk of Hypertension in Chinese Adults with T2DM: A Cross-Sectional Study. Diabetes Metab Syndr Obes 2024; 17:3227-3238. [PMID: 39224112 PMCID: PMC11368100 DOI: 10.2147/dmso.s462748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 05/31/2024] [Indexed: 09/04/2024] Open
Abstract
Background Diabetes mellitus and hypertension often coexist and share common risk factors. This study investigated the correlation between glycemic management and the prevalence of hypertension among Chinese adults diagnosed with type 2 diabetes mellitus (T2DM). Methods This study included 1715 patients with T2DM from four cities in Anhui Province, China. Sociodemographic characteristics of the sample participants were collected via questionnaires. A univariate analysis of variance (ANOVA) was utilized for continuous variables, and chi-square testing was used for categorical variables. Binary logistic regression was utilized to examine the relationship between blood pressure and variables including fasting plasma glucose (FPG), glycosylated haemoglobin (HbA1c), body mass index (BMI), waist circumference (WC), physical activity, dyslipidemia, and family history of hypertension. Results FPG levels did not increase the risk of hypertension, while HbA1c was significantly and negatively associated with hypertension risk. HbA1c levels ranged from 7.2 to 8.6%, with odds ratios (OR) of 0.68 and 95% confidence intervals (CI) of 0.48 to 0.97 and a significant p value of less than 0.05. For the HbA1c levels above 8.6%, the OR was 0.58 with a 95% CI of 0.39 to 0.87 and a significant p value of less than 0.01. Furthermore, advanced age, higher BMI, greater waist circumference, presence of dyslipidemia, and positive family history of hypertension were all found to be significantly and independently linked to a heightened risk of developing hypertension. These associations remain significant after further adjustment. Conclusion There was a negative association between HbA1c and the risk of hypertension, and the association remained significant after adjustment for antihypertensive drug use.
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Affiliation(s)
- Jie Zhang
- Department of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of China
| | - Xuelin Yao
- Department of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of China
| | - Yijing Chen
- Department of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of China
| | - Qing Feng
- Department of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of China
| | - Yi Zhang
- Department of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of China
| | - Tian Jiang
- Department of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of China
| | - Songtao Tang
- Department of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of China
| | - Nan Zhang
- Department of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of China
| | - Fang Dai
- Department of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of China
| | - Honglin Hu
- Department of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of China
| | - Qiu Zhang
- Department of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of China
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Li B, Wang J, Zhou X, Wang W, Gao Z, Tang X, Yan L, Wan Q, Luo Z, Qin G, Chen L, Ning G, Mu Y. Lipid accumulation product is closely associated with hypertension and prehypertension in prediabetic population in China: results from the REACTION study. Hypertens Res 2023; 46:708-719. [PMID: 36513744 DOI: 10.1038/s41440-022-01113-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 10/25/2022] [Accepted: 10/26/2022] [Indexed: 12/15/2022]
Abstract
Prediabetes with hypertension or prehypertension increases the risk of cardiovascular events. Lipid accumulation product (LAP) is a powerful marker of visceral obesity. The current study aimed to explore the relationship between LAP and hypertension and prehypertension among prediabetic individuals. A total of 12,388 prediabetic participants from the REACTION study were recruited. LAP was calculated from waist circumference and fasting triglyceride levels. Multiple logistic regression models were conducted to assess the relationship between LAP and hypertension and prehypertension. Multiple logistic regression analysis showed that elevated LAP was associated with hypertension (Q2: odds ratio (OR): 1.263, P < 0.001; Q3: OR: 1.613, P < 0.001; Q4: OR: 1.754, P < 0.001) and prehypertension (Q2: OR: 1.255, P = 0.005; Q3: OR: 1.340, P = 0.002; Q4: OR: 1.765, P < 0.001). The results of the stratified analysis showed that prediabetic people with higher LAP levels and characterized by overweight, normal weight and a high waist-to-hip ratio (WHR) were more likely to have hypertension, and prediabetic people with higher LAP levels and characterized by overweight, normal weight, a high WHR, age <65, and low and high levels of physical activity were more likely to have prehypertension. In conclusion, visceral obesity assessed by LAP is significantly associated with hypertension and prehypertension in the Chinese prediabetic population.
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Affiliation(s)
- Binqi Li
- School of Medicine, Nankai University, No. 94 Weijin Road, Tianjin, 300071, China.,Department of Endocrinology, First Medical Center of PLA General Hospital, Beijing, China
| | - Jie Wang
- Department of Endocrinology, Beijing Chaoyang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, P. R. China
| | - Xin Zhou
- Graduate School, Chinese PLA General Hospital, Beijing, China.,Department of Medical Oncology, Senior Department of Oncology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.,The Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Weiqing Wang
- Shanghai National Research Centre for Endocrine and Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhengnan Gao
- Dalian Central Hospital, Dalian, Liaoning, China
| | - Xulei Tang
- First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Li Yan
- Zhongshan University Sun Yat-sen Memorial Hospital, Guangzhou, Guangdong, China
| | - Qin Wan
- Southwest Medical University Affiliated Hospital, Luzhou, Sichuan, China
| | - Zuojie Luo
- First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Guijun Qin
- First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Lulu Chen
- Wuhan Union Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Guang Ning
- Shanghai National Research Centre for Endocrine and Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yiming Mu
- School of Medicine, Nankai University, No. 94 Weijin Road, Tianjin, 300071, China. .,Department of Endocrinology, First Medical Center of PLA General Hospital, Beijing, China. .,Graduate School, Chinese PLA General Hospital, Beijing, China.
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Asgari S, Masrouri S, Khalili D, Azizi F, Hadaegh F. Differences in the impact of impaired glucose status on clinical outcomes in younger and older adults: Over a decade of follow-up in the Tehran lipid and glucose study. Front Cardiovasc Med 2022; 9:1018403. [PMID: 36386371 PMCID: PMC9662168 DOI: 10.3389/fcvm.2022.1018403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Accepted: 09/28/2022] [Indexed: 12/02/2022] Open
Abstract
Introduction Studies found that the impact of dysglycemia on microvascular, macrovascular events and mortality outcomes were different between the younger vs. older population. We aimed to investigate the age-specific association of prediabetes with clinical outcomes including type 2 diabetes (T2DM), hypertension, chronic kidney disease (CKD), cardiovascular disease (CVD), and mortality. Materials and methods A total of 5,970 Iranians (3,829 women) aged ≥30 years, without T2DM, were included. The age-specific (<60 and ≥60 years; minimum p-value for interaction = 0.001) multivariable-adjusted Cox regression was done to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) of the impaired glucose status including impaired fasting glucose (IFG) vs. normal fasting glucose (NFG), impaired glucose tolerance (IGT) vs. normal glucose tolerance (NGT), and IFG&IGT vs. NFG/NGT with each outcome. Results Among individuals aged ≥60 years, the prevalence of impaired glucose status (IFG, IGT, or both) was about 2 times higher compared to those aged <60. Age-specific association between prediabetes and incident hypertension was found for those aged <60 years; [HR (95% CI); IFG: 1.38 (1.16-1.65), IGT: 1.51 (1.26-1.81), and IFG&IGT: 1.62 (1.21-2.12)]. For CVD, in all impaired glycemic states, those aged <60 were at higher significant risk [IFG: 1.39 (1.09-1.77), IGT: 1.53 (1.19-1.97), and IFG&IGT: 1.60 (1.14-2.25)]. Stratified analyses showed similar associations for IFG and IGT with non-CV mortality 1.71 (1.04-2.80) and 2.12 (1.30-3.46), respectively, and for all-cause mortality among those aged <60 years [IFG: 1.63 (1.08-2.45) and IGT: 1.82 (1.20-2.76)]. In both age groups, all glycemic status groups were significantly associated with T2DM but not with CKD and CV mortality. Conclusions The high prevalence of prediabetes particularly among the elderly population, limited resources, and the observed significant age differences in the impact of prediabetes states on different clinical outcomes calls for multicomponent intervention strategies by policy health makers, including lifestyle and possible pharmacological therapy, with the priority for the young Iranian population.
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Affiliation(s)
- Samaneh Asgari
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Soroush Masrouri
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Davood Khalili
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Shu L, Zhao Y, Shen Y, Jia L, Zhang J. Interaction analysis of lipid accumulation product and family history of diabetes on impaired fasting glucose and diabetes risk in population with normotension in Eastern China: a community-based cross-sectional survey. Arch Public Health 2022; 80:217. [PMID: 36183132 PMCID: PMC9526958 DOI: 10.1186/s13690-022-00972-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 09/23/2022] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Lipid accumulation product (LAP) is considered to be a new convenient useful indicator to assess the visceral fat. Therefore, we aimed to evaluate the risk factors of impaired fasting glucose (IFG) and diabetes, and explore the possible interacting influences of LAP with other factors on the risk of IFG and diabetes among Chinese normotension adults. METHODS A multistage stratified cluster sampling method was conducted to select urban residents in Bengbu, China. For each eligible participant, data on questionnaire survey, anthropometric measurements and laboratory tests were obtained. The effects of body mass index (BMI), waist circumference (WC), waist to height ratio (WHtR) and LAP for predicting IFG and diabetes were performed by multiple logistic regressions and receiver operating characteristic (ROC) analyses. The interaction effects were evaluated by relative excess risk of interaction (RERI), attributable proportion due to interaction (AP) and synergy index (SI). RESULTS Six thousand, four hundred sixty-seven normotension subjects (2695 men and 3772 women) were enrolled in our study, the prevalence of IFG and diabetes were 9.37% and 14.33%, respectively. When assessed using ROC curve analysis, LAP exhibited higher diagnostic accuracy for identifying IFG and diabetes than BMI, the area under the AUC curve was 0.650 (95% CI: 0.637 to 0.662). After adjustment for age, sex, educational level and other confounding factors, multivariate logistic regression analyses indicated that subjects with the fourth quartile of LAP were more likely to develop IFG (adjusted OR: 2.735, 95% CI: 1.794-4.170) and diabetes (adjusted OR: 1.815, 95% CI: 1.297-2.541) than those with the first quartile. A significant interaction between LAP and family history of diabetes was observed in participants (RERI = 1.538, 95%CI: 0.167 to 3.612; AP = 0.375, 95%CI: 0.118 to 0.631; SI = 1.980, 95%CI: 1.206 to 3.251). However, a significant interaction between LAP and abdominal obesity was indicated by the value of RERI (1.492, 95%CI: 0.087 to 3.723) and AP (0.413, 95%CI: 0.014 to 0.756), but not the value of SI (1.824, 95%CI: 0.873 to 3.526). CONCLUSION Our results demonstrated that there might be synergistic effect between LAP and family history of diabetes on the risk of IFG and diabetes.
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Affiliation(s)
- Li Shu
- grid.252957.e0000 0001 1484 5512School of Public Health, Bengbu Medical College, Bengbu, Anhui Province China
| | | | - Yanqi Shen
- grid.252957.e0000 0001 1484 5512School of Public Health, Bengbu Medical College, Bengbu, Anhui Province China
| | - Linlin Jia
- grid.252957.e0000 0001 1484 5512School of Public Health, Bengbu Medical College, Bengbu, Anhui Province China
| | - Jiaye Zhang
- grid.252957.e0000 0001 1484 5512School of Public Health, Bengbu Medical College, Bengbu, Anhui Province China
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Lou Y, Zhang Y, Zhao P, Qin P, Wang C, Ma J, Peng X, Chen H, Zhao D, Xu S, Wang L, Zhang M, Hu D, Hu F. Association of fasting plasma glucose change trajectory and risk of hypertension: a cohort study in China. Endocr Connect 2022; 11:EC-21-0464.R1. [PMID: 34860174 PMCID: PMC8789013 DOI: 10.1530/ec-21-0464] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 12/03/2021] [Indexed: 11/28/2022]
Abstract
We aimed to assess the association between fasting plasma glucose (FPG) change trajectory and incident hypertension among Chinese population. This cohort study included 11,791 adults aged 18-80 years without hypertension at first entry and who completed at least four follow-ups between 2009 and 2016. Logistic regression was used to estimate odds ratios (ORs) and 95% CIs for the association between FPG change trajectory and probability of hypertension. During a median follow-up of 5.10 years (total person-years 61,887.76), hypertension developed in 2177 participants. After adjusting for baseline potential confounders, the probability of hypertension increased with the increasing FPG change trajectory (adjusted OR (aOR) 1.22, 95% CI 1.07-1.40), bell-shape trajectory (aOR 1.15, 95% CI 1.02-1.30) and other-shape trajectory (aOR 1.13, 95% CI 1.02-1.25) which showed a higher variability of FPG compared to the decreasing group. In addition, the increasing FPG change trajectory was associated with a higher probability of hypertension compared with the decreasing group regardless of age and BMI but was only significant in males and in those with normal FPG at baseline. Our study indicates that the increasing FPG change trajectory determines the highest risk of hypertension, demonstrating the importance of maintaining low and stable levels of FPG, especially in males and in those with normal FPG.
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Affiliation(s)
- Yanmei Lou
- Department of Health Management, Beijing Xiaotangshan Hospital, Beijing, People’s Republic of China
| | - Yanyan Zhang
- Department of Epidemiology and Health Statistics, Shenzhen University Health Science Center, Shenzhen, Guangdong, People’s Republic of China
| | - Ping Zhao
- Department of Health Management, Beijing Xiaotangshan Hospital, Beijing, People’s Republic of China
| | - Pei Qin
- Department of Epidemiology and Health Statistics, Shenzhen University Health Science Center, Shenzhen, Guangdong, People’s Republic of China
| | - Changyi Wang
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People’s Republic of China
| | - Jianping Ma
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People’s Republic of China
| | - Xiaolin Peng
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People’s Republic of China
| | - Hongen Chen
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People’s Republic of China
| | - Dan Zhao
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People’s Republic of China
| | - Shan Xu
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People’s Republic of China
| | - Li Wang
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People’s Republic of China
| | - Ming Zhang
- Department of Epidemiology and Health Statistics, Shenzhen University Health Science Center, Shenzhen, Guangdong, People’s Republic of China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, Shenzhen University Health Science Center, Shenzhen, Guangdong, People’s Republic of China
| | - Fulan Hu
- Department of Epidemiology and Health Statistics, Shenzhen University Health Science Center, Shenzhen, Guangdong, People’s Republic of China
- Correspondence should be addressed to F Hu:
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Kang SY, Kim YS. Relationships between fasting glucose levels, lifestyle factors, and metabolic parameters in Korean adults without diagnosis of diabetes mellitus. J Diabetes 2022; 14:52-63. [PMID: 34738737 PMCID: PMC9060134 DOI: 10.1111/1753-0407.13238] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 10/29/2021] [Accepted: 11/01/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND We investigated the associations between fasting glucose level ranges with lifestyle factors and metabolic profiles among adults without previous diagnosis of diabetes. METHODS We analyzed 13 625 adults without previous diagnosis of diabetes from the Korea National Health and Nutrition Examination Survey during 2016 to 2018. We categorized fasting glucose levels (mg/dl) as follows: <90, 90 to 99, 100 to 109, 110 to 124, and ≥125. We evaluated trends in the proportions of individuals with obesity, abdominal, obesity, current smoking, heavy drinking, and low physical activity according to these categories, and the odds for uncontrolled blood pressure (BP), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), and high-density lipoprotein cholesterol (HDL-C) for each fasting glucose level compared to a fasting glucose level of <90 mg/dl. RESULTS The proportions of individuals with obesity, abdominal obesity, and heavy drinking increased according to fasting glucose level (P for trend <.05). The odds for BP ≥140/90 mm Hg, TG ≥150 mg/dl, HDL-C < 40 mg/dl in men, and HDL-C < 50 mg/dl in women increased with increasing fasting glucose levels; however, the odds for LDL-C ≥ 130 mg/dl increased with increasing fasting glucose levels only in women. The increases in odds for uncontrolled BP and lipid profiles were mostly observed for fasting glucose levels ≥90 mg/dl. CONCLUSIONS Efforts are needed to prevent increased fasting glucose levels, as higher levels, even within normal range, were associated with poor metabolic profiles.
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Affiliation(s)
- Seo Young Kang
- International Healthcare CenterAsan Medical CenterSeoulRepublic of Korea
| | - Young Sik Kim
- Department of Family Medicine, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulRepublic of Korea
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Liu J, Cheng NN, Zhou ZY, Zhang Y, Yang J, Liu LS, Song Y, Huang X, Tang GF, Wang BY, Qin XH, Xu XP, Kong XQ. Effect of fasting blood glucose on risk of new-onset hypertension in rural Chinese population: a 15-year follow-up cohort. BMC Cardiovasc Disord 2021; 21:531. [PMID: 34749652 PMCID: PMC8573915 DOI: 10.1186/s12872-021-02336-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 10/20/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The purpose of this study was to examine the correlation between fasting blood glucose and new-onset hypertension and examine any synergistically effect modification with multiple risk factors. METHODS We conducted post-hoc analyses of repeated-measures data in the original Dongzhi osteoporosis cohort study. In total, 3985 participants without hypertension aged 25-64 years were included in the current analyses. Generalized estimating equation models were used to assess the relationship between fasting blood glucose and risk of new-onset hypertension after adjusting for pertinent covariates and autocorrelations among siblings. RESULTS 393 men (19.4%) and 398 women (20.3%) without hypertension at the baseline developed hypertension by the end of the study period. Compared to lower baseline fasting blood glucose levels (Q1-Q3: < 5.74 mmol/L; clinical cut points: < 5.6 mmol/L), higher baseline fasting blood glucose levels (Q4: ≥ 5.74 mmol/L; clinical cut points: ≥ 5.6 mmol/L and < 7.0 mmol/L) increased the risk of new-onset hypertension significantly [(OR: 1.54, 95% CI 1.19-1.98, P < 0.001); (OR: 1.38, 95% CI 1.09-1.75, P = 0.008)] in women. Additionally, a stronger significant association was found in women with elevated fasting blood glucose on risk of new-onset of hypertension with higher total cholesterol (≥ 5.2 mmol/L) [(OR: 2.76; 95% CI: (1.54, 4.96), P < 0.001)]. However, no association was found between fasting blood glucose and risk of new-onset hypertension in men. CONCLUSIONS High fasting blood glucose may be significantly associated with risk of new-onset hypertension in Chinese women, especially in women with higher total cholesterol. Further randomized studies are needed to confirm our findings.
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Affiliation(s)
- Jing Liu
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu, People's Republic of China
| | - Nan N Cheng
- State Key Laboratory of Natural Medicines, Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, 210009, People's Republic of China
| | - Zi Y Zhou
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, People's Republic of China
| | - Yue Zhang
- State Key Laboratory of Natural Medicines, Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, 210009, People's Republic of China
| | - Jie Yang
- State Key Laboratory of Natural Medicines, Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, 210009, People's Republic of China
| | - Li S Liu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, People's Republic of China
| | - Yun Song
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, People's Republic of China.,School of Health Administration, Anhui Medical University, Hefei, People's Republic of China
| | - Xiao Huang
- Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China
| | - Gen F Tang
- School of Health Administration, Anhui Medical University, Hefei, People's Republic of China
| | - Bin Y Wang
- School of Health Administration, Anhui Medical University, Hefei, People's Republic of China
| | - Xian H Qin
- National Clinical Research Study Center for Kidney Disease, The State Key Laboratory for Organ Failure Research, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China
| | - Xi P Xu
- National Clinical Research Study Center for Kidney Disease, The State Key Laboratory for Organ Failure Research, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China
| | - Xiang Q Kong
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu, People's Republic of China.
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8
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Zhang M, Zhao Y, Sun L, Xi Y, Zhang W, Lu J, Hu F, Shi X, Hu D. Cohort Profile: The Rural Chinese Cohort Study. Int J Epidemiol 2021; 50:723-724l. [PMID: 33367613 DOI: 10.1093/ije/dyaa204] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/21/2020] [Indexed: 12/17/2022] Open
Affiliation(s)
- Ming Zhang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Yang Zhao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Liang Sun
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Yuanlin Xi
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Weidong Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Jie Lu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Fulan Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Xuezhong Shi
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Dongsheng Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China
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9
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Si Y, Wang A, Yang Y, Liu H, Gu S, Mu Y, Lyu Z. Fasting Blood Glucose and 2-h Postprandial Blood Glucose Predict Hypertension: A Report from the REACTION Study. Diabetes Ther 2021; 12:1117-1128. [PMID: 33660197 PMCID: PMC7994488 DOI: 10.1007/s13300-021-01019-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 01/30/2021] [Indexed: 12/16/2022] Open
Abstract
INTRODUCTION Although diabetes is associated with hypertension, whether high blood glucose levels promote hypertension remains controversial. In this study we compared the predictive power of fasting plasma glucose (FPG), 2-h postprandial blood glucose (2hPG), and glycated hemoglobin (HbA1c) for the development of hypertension. METHODS This study was a substudy of the REACTION study, an ongoing longitudinal cohort study investigating the relationship of prediabetes and type 2 diabetes with the risk of cancer in an urban Northern Chinese population in Beijing. Logistic regression analysis was used to calculate odds ratios (ORs) after adjustment for risk factors for hypertension, including age, sex, body mass index, and triglycerides. RESULTS Among the 3437 participants, 497 developed hypertension during the 4-year follow-up. The logistic regression analysis showed that elevated FPG and 2hPG levels (FPG: OR 1.529; 95% confidence interval [CI] 1.348-1.735; 2hPG: OR 1.144; 95% CI 1.100-1.191), but not HbA1c, were independent risk factors for the development of hypertension. In the highest quartile of FPG and 2hPG levels, the multivariable-corrected ORs were 2.115 (95% CI 1.612-2.777) and 2.346 (95% CI 1.787-3.080), respectively, compared with the lowest quartile. The adjusted models showed no significant correlations between quartile HbA1c levels and the development of hypertension. CONCLUSION Higher FPG and 2hPG levels, but not HbA1c levels, are independent risk factors for developing hypertension in an urban Northern Chinese population. TRIAL REGISTRATION ClinicalTrials.gov NCT01206869.
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Affiliation(s)
- Yingkui Si
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, China
- Department of Endocrinology, Beijing University of Chinese Medicine Third Affiliated Hospital, Beijing, China
| | - Anping Wang
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, China
| | - Yunshuang Yang
- Department of Preventive Medicine, Beijing Longfu Hospital, Beijng, China
| | - Hongzhou Liu
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, China
| | - Shi Gu
- Department of Endocrinology, The First People's Hospital of Shuangliu District, Chengdu, China
| | - Yiming Mu
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, China.
| | - Zhaohui Lyu
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, China.
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10
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Abstract
Evidence increasingly demonstrates that prediabetes is a toxic state, as well as a risk factor for diabetes, and is associated with pathophysiological changes in several tissues and organs. Unfortunately, use of available evidence-based treatments for prediabetes is low. This review seeks to explain why prediabetes must be viewed and treated as a serious pathological entity in its own right. It offers an overview of the pathophysiology and complications of prediabetes and describes how this condition can be reversed if all treatment avenues are deployed early in its course.
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Affiliation(s)
| | - Fatima Bello
- Ahmadu Bello University Teaching Hospital Zaria, Kaduna, Nigeria
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11
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Zi H, Wang XJ, Zhao MJ, Huang Q, Wang XH, Zeng XT. Fasting blood glucose level and hypertension risk in aging benign prostatic hyperplasia patients. Aging (Albany NY) 2020; 11:4438-4445. [PMID: 31280253 PMCID: PMC6660045 DOI: 10.18632/aging.102061] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2019] [Accepted: 06/24/2019] [Indexed: 12/11/2022]
Abstract
Evidence suggests there maybe an association among abnormal fasting blood glucose, hypertension and benign prostatic hyperplasia. In this study, we investigated whether abnormal fasting blood glucose correlates with hypertension in aging benign prostatic hyperplasia patients. Ultimately, 612 benign prostatic hyperplasia patients, including 230 hypertensive patients and 382 normotensive patients, were included. Univariate and multivariate logistic regression analyses were used to evaluate the associations. The results indicated that neither impaired fasting glucose/high risk of type 2 diabetes mellitus nor high risk of type 2 diabetes mellitus were associated with an increased risk of hypertension. When patients were stratified based on the severity of their hypertension, similar results were obtained (all P> 0.05). After adjusting for confounding factors, the nonsignificant tendencies for high risk of type 2 diabetes mellitus and impaired fasting glucose/high risk of type 2 diabetes mellitus to associate with hypertension persisted (all P> 0.05). Unlike earlier studies, the present study suggests that the level of fasting blood glucose may not be significantly related to hypertension in aging patients with benign prostatic hyperplasia.
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Affiliation(s)
- Hao Zi
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China.,Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China.,Center for Evidence-Based Medicine, Institute of Evidence-Based Medicine and Knowledge Translation, Henan University, Kaifeng, Henan 475000, China
| | - Xue-Jun Wang
- Department of Emergency, Beijing Electric Power Hospital, Beijing 100073, China
| | - Ming-Juan Zhao
- Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China.,Center for Evidence-Based Medicine, Institute of Evidence-Based Medicine and Knowledge Translation, Henan University, Kaifeng, Henan 475000, China.,Department of Cardiology, The First Affiliated Hospital of Henan University, Kaifeng, Henan 475000, China
| | - Qiao Huang
- Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China
| | - Xing-Huan Wang
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China.,Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China
| | - Xian-Tao Zeng
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China.,Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China
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12
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Metabolically healthy general and abdominal obesity are associated with increased risk of hypertension. Br J Nutr 2019; 123:583-591. [DOI: 10.1017/s0007114519003143] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
AbstractMetabolically healthy obesity refers to a subset of obese people with a normal metabolic profile. We aimed to explore the association between metabolically healthy and obesity status and risk of hypertension among Chinese adults from The Rural Chinese Cohort Study. This prospective cohort study enrolled 9137 Chinese adults without hypertension, type 2 diabetes or treatment for lipid abnormality at baseline (2007–2008) and followed up during 2013–2014. Modified Poisson regression models were used to examine the risk of hypertension by different metabolically healthy and obesity status, estimating relative risks (RR) and 95 % CI. During 6 years of follow-up, we identified 1734 new hypertension cases (721 men). After adjusting for age, sex, smoking and other confounding factors, risk of hypertension was increased with metabolically healthy general obesity (MHGO) defined by BMI (RR 1·75, 95 % CI 1·02, 3·00) and metabolically healthy abdominal obesity (MHAO) defined by waist circumference (RR 1·51, 95 % CI 1·12, 2·04) as compared with metabolically healthy non-obesity. The associations between metabolically healthy and obesity status and hypertension outcome were consistent after stratifying by sex, age, smoking, alcohol drinking and physical activity. Both MHGO and MHAO were associated with increased risk of hypertension. Obesity control programmes should be implemented to prevent or delay the development of hypertension in rural China.
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13
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Zhao Y, Zhang M, Liu Y, Sun H, Sun X, Yin Z, Li H, Ren Y, Liu D, Liu F, Chen X, Liu L, Cheng C, Zhou Q, Hu D. Adult height and risk of death from all-cause, cardiovascular, and cancer-specific disease: The Rural Chinese Cohort Study. Nutr Metab Cardiovasc Dis 2019; 29:1299-1307. [PMID: 31640891 DOI: 10.1016/j.numecd.2019.05.067] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 05/29/2019] [Accepted: 05/30/2019] [Indexed: 11/21/2022]
Abstract
BACKGROUND AND AIMS We aimed to evaluate the sex-specific association of height and all-cause and cause-specific mortality in rural Chinese adults. METHODS AND RESULTS A total of 17,263 participants (10,448 women) ≥18 years old were randomly enrolled during 2007-2008 and followed up during 2013-2014. Sex-specific hazard ratios (HRs) for the height-mortality association, assessed in quintiles or 5 cm increments, were calculated by Cox proportional-hazards models. For both men and women, tall participants showed a baseline prevalence of high levels of socioeconomic factors including income and education but low systolic blood pressure and total cholesterol level. During a median of 6.01 years of follow-up, 620 men (in 39,993.45 person-years) and 490 women (in 61,590.10 person-years) died. With increasing height, the risk of all-cause mortality decreased in a curvilinear trend after adjustment for baseline age, socioeconomic and behavioral factors, and anthropometric and laboratory measurements. For men, height was inversely associated with all-cause mortality (HR per 5 cm increase: 0.89, 95% CI: 0.83-0.96) and cardiovascular mortality (HR per 5 cm increase: 0.81, 95% CI: 0.72-0.91). For women, height was inversely associated with all-cause mortality (HR per 5 cm increase: 0.88, 95% CI: 0.81-0.96) and other mortality (HR per 5 cm increase: 0.82, 95% CI: 0.71-0.96). CONCLUSIONS Our study demonstrated a sex-specific inverse effect of height on mortality from different major causes in rural Chinese adults.
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Affiliation(s)
- Yang Zhao
- Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China
| | - Ming Zhang
- Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China
| | - Yu Liu
- The Affiliated Luohu Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China
| | - Haohang Sun
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xizhuo Sun
- The Affiliated Luohu Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China
| | - Zhaoxia Yin
- The Affiliated Luohu Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China
| | - Honghui Li
- The Affiliated Luohu Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China
| | - Yongcheng Ren
- Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China
| | - Dechen Liu
- Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; The Affiliated Luohu Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Feiyan Liu
- The Affiliated Luohu Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China
| | - Xu Chen
- Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; The Affiliated Luohu Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Leilei Liu
- Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; The Affiliated Luohu Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Cheng Cheng
- Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; The Affiliated Luohu Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Qionggui Zhou
- The Affiliated Luohu Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China
| | - Dongsheng Hu
- Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China.
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14
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Geva M, Shlomai G, Berkovich A, Maor E, Leibowitz A, Tenenbaum A, Grossman E. The association between fasting plasma glucose and glycated hemoglobin in the prediabetes range and future development of hypertension. Cardiovasc Diabetol 2019; 18:53. [PMID: 31029146 PMCID: PMC6486972 DOI: 10.1186/s12933-019-0859-4] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Accepted: 04/18/2019] [Indexed: 12/16/2022] Open
Abstract
Background Prediabetes is a well-established risk factor for progression to overt diabetes mellitus (DM), which is in turn associated with development of hypertension (HTN) and vice versa. However, the role of prediabetes and HbA1c in particular as an independent risk factor for the development of hypertension is unclear. Aim In this current study, we aimed to evaluate the association between both fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) levels in the prediabetes range and development of HTN among a large cohort of normotensive subjects. Design and methods We investigated 5016 normotensive participants without DM and other cardiovascular risk factors who were annually screened in a tertiary medical center. Subjects were divided into normoglycemic and prediabetic groups. Normoglycemia was defined as HbA1c < 5.7% and FPG < 100 mg/dl. Prediabetes was defined according to the ADA criteria, i.e., 6.5% > HbA1c ≥ 5.7% or impaired fasting glucose (IFG):126 mg/dl > FPG ≥ 100 mg/dl. Subgroup analysis was made by dividing participants into four groups according to FPG and HbA1C levels, i.e., normoglycemia, impaired HbA1c only, IFG only, and both parameters impaired. Results During a follow-up of 3.7 ± 2.9 years, 318 (6.3%) subjects developed HTN. A cumulative hazard function for the development of hypertension showed a 2.89-fold ([95% CI 2.19–3.83], p < .0001) increased risk for HTN in the prediabetic population. In a multivariable Cox proportional hazard regression model adjusted to common confounding risk factors for HTN, prediabetes was found to be independently associated with a 1.95-fold ([95%, CI 1.43–2.52] p < .0001) increased risk for hypertension. Impaired HbA1C only was not found to be independently associated with HTN, while IFG only showed a 2.13-fold (95%, [CI 1.46–3.11] p < .0001) increased risk for HTN compared to normoglycemic, and a 2.55-fold ([95% CI 1.85–3.51] p < .0001) increased risk for HTN when both parameters impaired. Conclusion Our study demonstrates that FPG in the prediabetes range, albeit not glycated hemoglobin, is independently and significantly associated with future development of HTN. Therefore, our findings further highlight the pivotal predictive role of IFG for HTN development as opposed to the limited independent role of abnormal HbA1c levels. Electronic supplementary material The online version of this article (10.1186/s12933-019-0859-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Mika Geva
- Department of Internal Medicine D, Chaim Sheba Medical Center, Ramat Gan, Israel.,Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel
| | - Gadi Shlomai
- Department of Internal Medicine D, Chaim Sheba Medical Center, Ramat Gan, Israel.,Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel
| | - Anat Berkovich
- Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel.,Leviev Heart Center, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Elad Maor
- Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel.,Leviev Heart Center, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Avshalom Leibowitz
- Department of Internal Medicine D, Chaim Sheba Medical Center, Ramat Gan, Israel.,Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel
| | - Alexander Tenenbaum
- Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel.,Leviev Heart Center, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Ehud Grossman
- Department of Internal Medicine D, Chaim Sheba Medical Center, Ramat Gan, Israel. .,Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel.
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15
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Song J, Chen X, Jiang Y, Mi J, Zhang Y, Zhao Y, Wu X, Gao H. Association and Interaction Analysis of Lipid Accumulation Product with Impaired Fasting Glucose Risk: A Cross-Sectional Survey. J Diabetes Res 2019; 2019:9014698. [PMID: 31772946 PMCID: PMC6854969 DOI: 10.1155/2019/9014698] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 09/25/2019] [Accepted: 10/01/2019] [Indexed: 12/11/2022] Open
Abstract
AIMS Lipid accumulation product (LAP) is put forward as a powerful marker showing the accumulation of visceral fat. The present study is aimed at (i) analyzing the predictive performances of LAP in the identification of impaired fasting glucose (IFG) in Chinese population and (ii) exploring the potentially interactive effect between LAP and other factors on IFG risk. METHODS Analysis was conducted on the data obtained from a community-based cross-sectional survey in Chinese population, and all the participants enrolled were required to complete a face-to-face questionnaire survey and related health checks. Then, for the purpose of comparing predictive values between LAP and conventional obesity indices for IFG, relevant analysis was carried out on the receiver operating characteristic (ROC) curve. The assessment of interactive effects was conducted by employing the three indicators as follows: (1) RERI (the relative excess risk due to interaction), (2) AP (attributable proportion due to interaction), and (3) SI (synergy index). RESULTS A total of 1777 participants (748 males and 1029 females) were involved in the final analysis. It was finally obtained that the prevalence rate of IFG was 14.1% in total, 15.5% for males and 13.1% for females, respectively. In logistic regression analysis, individuals with LAP levels in the fourth quartile had a significant higher risk of getting IFG in comparison with that of the lowest quartile (crude OR: 4.58, 95% CI: 3.01-6.98; adjusted OR: 3.81, 95% CI: 2.33-6.23). In addition, it was indicated by the ROC curve analysis that LAP showed a better performance in discriminating IFG risk than BMI in both males (Z = 2.20, P = 0.028) and females (Z = 2.13, P = 0.033). However, LAP displayed a higher predictability in comparison with WC only in females (Z = 2.07, P = 0.038), but not in males (Z = 0.18, P = 0.860). Furthermore, LAP and family history of diabetes were able to impose significant synergistic interaction on the risk of IFG, which was indicated by all the parameters in females (RERI: 2.52, 95% CI: 0.19-4.84; AP: 0.47, 95% CI: 0.20-0.74; SI: 2.39, 95% CI: 1.17-4.87) and males (RERI: 2.18, 95% CI: 0.08-4.73; AP: 0.43, 95% CI: 0.07-0.79; SI: 2.15, 95% CI: 1.03-5.45). However, none of the indicators showed significant interaction between LAP and smoking on the risk of IFG in females (RERI: 0.92, 95% CI: -2.79-4.63; AP: 0.20, 95% CI: -0.50-0.92; SI: 1.37, 95% CI: 0.42-4.52). Meanwhile, there was also no significant interaction between LAP and smoking on the risk of IFG in males as indicated by the value of SI (2.22, 95% CI: 0.80-6.21). CONCLUSION It was concluded that LAP was significantly related to a higher risk of IFG in Chinese population, and its performance was superior to that of conventional obesity indices, especially in females. Apart from that, LAP with family history of diabetes may have an interactive effect that can impose a great influence on the development of IFG.
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Affiliation(s)
- Jian Song
- School of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, China
| | - Xue Chen
- School of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, China
| | - Yuhong Jiang
- School of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, China
| | - Jing Mi
- School of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, China
| | - Yuyuan Zhang
- School of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, China
| | - Yingying Zhao
- Bengbu Health Board, 568 Nanhu Road, Bengbu, 233000 Anhui Province, China
| | - Xuesen Wu
- School of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, China
| | - Huaiquan Gao
- School of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, China
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16
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Zhao Q, Zhen Q, Li Y, Lv R, Zhang K, Qiao Y, Kou C, Li B, Tao Y, Yu Y, Liu Y, Cheng Y, Liu Y. PREVALENCE AND RISK FACTORS OF IMPAIRED FASTING GLUCOSE AMONG ADULTS IN NORTHEAST CHINA: A CROSS-SECTIONAL STUDY. Endocr Pract 2018; 24:677-683. [PMID: 30048165 DOI: 10.4158/ep-2018-0046] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVE To investigate the prevalence and risk factors of impaired fasting glucose (IFG) among adults in northeast China. METHODS A cross-sectional study was conducted in Jilin Province in 2012. Questionnaires were used to collect information about demographic characteristics, lifestyle factors, and health status from 15,540 residents. Fasting blood glucose (FBG) was measured in the morning after at least 12 hours of fasting, and χ2 tests were performed to compare differences between subjects with and without IFG. Logistic regression was carried out to identify factors influencing IFG occurrence. RESULTS There were significant differences in demographic characteristics (age, sex, education, and marriage status), lifestyle factors (smoking, drinking, physical activity, and average sleep duration), and health status (hyperlipidemia, hypertension, and BMI category) between subjects with IFG and without IFG ( P<.05). IFG risk was significantly associated with sex, age, education (senior high school and college), marriage status (single), drinking, hyperlipidemia, hypertension, and BMI category (all P<.05). CONCLUSION In adults in northeast China, risk factors of IFG are sex, age, education (senior high school and college), drinking, hyperlipidemia, hypertension, and BMI category; however, the protective factor of IFG is marriage status (single). ABBREVIATIONS BMI = body mass index; CI = confidence interval; FBG = fasting blood glucose; IFG = impaired fasting glucose; OR = odds ratio; T2DM = type 2 diabetes.
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