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Li X, Huang L, Zhou B, Li Z, Sun J, Yu Y, Song H, Tian M, Yin X, Neal B, Zhang Y, Wu Y, Zhao Y. Effects of salt substitution on cumulative blood pressure: a secondary analysis of the SSaSS. Eur J Epidemiol 2025:10.1007/s10654-025-01216-x. [PMID: 40148710 DOI: 10.1007/s10654-025-01216-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2024] [Accepted: 02/27/2025] [Indexed: 03/29/2025]
Abstract
The effect of a potassium-enriched salt substitute on cumulative blood pressure (BP) remains unclear. This study aimed to assess the long-term effects of a potassium-enriched salt substitute versus regular salt on cumulative and conventional measures of systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP) and pulse pressure (PP). We analyzed data from the Salt Substitute and Stroke Study (SSaSS), a 5-year cluster randomized controlled trial in rural of China with 20,995 participants. The intervention used salt substitute; controls used regular salt. BP was measured for all participants at baseline, among subsamples at 12-month intervals, and for all alive at 60 months. Cumulative BP was calculated as the average between baseline and follow-up measures multiplied by the time between them (mmHg × year). Linear mixed models were used to assess the effects of salt substitution on BP outcomes at each follow-up visit. After a mean 4.74 years of follow-up, salt substitute compared to the regular salt lowered the cumulative SBP with a mean (SD) of 740 (85) vs. 750 (87) mmHg×year. Salt substitute also lowered cumulative MAP and PP, with means (SD) of 560 (58) vs. 566 (59) mmHg×year, and 306 (67) vs. 313 (68) mmHg×year, respectively. Similar beneficial effects of the salt substitute were observed for traditional measurements of SBP, MAP, and PP. There was no difference in either cumulative DBP (434 vs. 437 mmHg × year) or traditional DBP (85 vs. 86 mmHg). Salt substitute significantly reduced cumulative and traditional SBP, MAP, and PP, but not DBP. TRIAL REGISTRATION: SSaSS ClinicalTrials.gov number: NCT0 2,092,090.
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Affiliation(s)
- Xiaoxia Li
- School of Public Health, Ningxia Medical University, 1160 Shengli Street, Xingqing District, Yinchuan, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, China
| | - Liping Huang
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Bo Zhou
- Department of Evidence Based Medicine, First Hospital of China Medical University, Shenyang, 110000, China
| | - Zhifang Li
- School of Public Health, Changzhi Medical College, Changzhi, China
| | - Jixin Sun
- Department of Noncommunicable Disease Prevention and Control, Center for Disease Control of Hebei Province, Shijiazhuang, China
| | - Yan Yu
- School of Public Health, Xi'an Jiaotong University School of Medicine, Xi'an, China
| | - Hongyi Song
- The George Institute for Global Health, Beijing, China
| | - Maoyi Tian
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
- School of Public Health, Harbin Medical University, 157 Baojian Rd, Nangang District, Harbin, China
| | - Xuejun Yin
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bruce Neal
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
- School of Public Health, Imperial College London, London, UK
| | - Yuhong Zhang
- School of Public Health, Ningxia Medical University, 1160 Shengli Street, Xingqing District, Yinchuan, China.
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, China.
| | - Yangfeng Wu
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China
- Peking University Clinical Research Center, Peking University, Beijing, China
| | - Yi Zhao
- School of Public Health, Ningxia Medical University, 1160 Shengli Street, Xingqing District, Yinchuan, China.
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, China.
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Qiu S, Cai X, Liang Y, Chen W, Wang D, Sun Z, Xie B, Wu T. Cumulative muscle strength and risk of diabetes: A prospective cohort study with mediation analysis. Diabetes Res Clin Pract 2023; 197:110562. [PMID: 36738835 DOI: 10.1016/j.diabres.2023.110562] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/15/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023]
Abstract
AIMS Previous studies assessing the association of muscle strength with risk of diabetes have seldomly accounted for the cumulative exposure over time. This study examined the association of 4-year cumulative muscle strength with risk of diabetes in middle-aged and older adults. METHODS We included participants without diabetes, who had 3 repeated measurements of muscle strength, which was assessed by grip strength (normalized by body-weight) and chair-rising time, over 4 years. Cumulative muscle strength was calculated based on trapezoid rule. Logistic regression analysis and mediation analysis for cumulative blood pressure were performed. RESULTS We included 3731 and 3799 participants with data on cumulative grip strength and cumulative chair-rising time, respectively. The odds of diabetes were gradually reduced with increments in cumulative grip strength or decrements in cumulative chair-rising time, with the corresponding odds ratio being 0.79 and 0.89 per 1 standard deviation change after multivariable-adjustment. Cumulative systolic blood pressure mediated 10.8% and 14.2% of the associations of diabetes with cumulative grip strength and cumulative chair-rising time, respectively. Cumulative grip strength also correlated inversely with blood pressure, glycemia, and inflammation. CONCLUSIONS Higher cumulative muscle strength was associated with lower risk of diabetes and better cardiometabolic health in middle-aged and older Chinese adults.
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Affiliation(s)
- Shanhu Qiu
- Department of General Practice, Zhongda Hospital; Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China; Research and Education Centre of General Practice, Zhongda Hospital, Southeast University, Nanjing, China
| | - Xue Cai
- Department of Nursing Management, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Yan Liang
- Department of General Practice, Zhongda Hospital; Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China; Research and Education Centre of General Practice, Zhongda Hospital, Southeast University, Nanjing, China
| | - Wenji Chen
- Department of General Practice, Zhongda Hospital; Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China; Research and Education Centre of General Practice, Zhongda Hospital, Southeast University, Nanjing, China
| | - Duolao Wang
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom
| | - Zilin Sun
- Department of Endocrinology, Zhongda Hospital; Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China.
| | - Bo Xie
- Department of General Practice, Zhongda Hospital; Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China; Research and Education Centre of General Practice, Zhongda Hospital, Southeast University, Nanjing, China.
| | - Tongzhi Wu
- Adelaide Medical School and Centre of Research Excellence (CRE) in Translating Nutritional Science to Good Health, The University of Adelaide, Adelaide, Australia
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Wu D, Lan Y, Xu Y, Xu S, Huang Y, Balmer L, Maharra G, Xu W, Wang W, Wu S. Association of cumulative monocyte to high-density lipoprotein ratio with the risk of type 2 diabetes: a prospective cohort study. Cardiovasc Diabetol 2022; 21:268. [PMID: 36463212 PMCID: PMC9719154 DOI: 10.1186/s12933-022-01701-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 11/18/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Recent studies have established that monocyte-derived inflammation plays a central role in the pathogenesis of type 2 diabetes mellitus (T2DM). It is unclear whether chronic metabolic inflammation, reflected by the cumulative monocyte to high-density lipoprotein ratio (CumMHR), predisposes the general population to T2DM. METHODS This study included 40,813 participants without diabetes from a real-life, community-based cohort (the Kailuan Study) attending a 2-year cycle of health survey since 2006. Cumulative exposure was obtained from 2006/2007 to 2010/2011. Follow-up started at 2010/2011 and through 2020. Multivariable-adjusted Cox regression models were used to calculate the CumMHR-associated risk of incident T2DM. RESULTS Over a median follow-up period of 7.98 (IQR: 5.74-8.87) years, 4,848 T2DM cases occurred. The CumMHR was positively associated with the risk of incident T2DM after adjusting for age, sex, smoking, drinking habits, physical activities, BMI, triglyceride-glycemia index, log(leukocyte count), log(hsCRP), blood pressure, renal function, and medication uses with adjusted HRs of 1.0 (ref.), 1.18 (1.05‒1.25), 1.17 (1.07‒1.27), 1.38 (1.26‒1.50), respectively, in CumMHR Quartiles 1, 2, 3 and 4. When follow-up ended at 2014/2015, the short-term (4‒year) adjusted T2DM risks in CumMHR Quartiles 2, 3, and 4 were 1.14 (1.01‒1.29), 1.17 (1.04‒1.32), 1.40 (1.25‒1.58), respectively, relative to Quartile 1. A significant interaction between CumMHR and cumulative high-sensitivity C-reactive protein (CumCRP) was observed (P-interaction: 0.0109). The diabetic risk in the highest quartile of CumMHR was higher (1.53 [1.28‒1.84]) when CumCRP < 1 mg/L, attenuated with increasing CumCRP levels (1 ~ 10 mg/L) and disappeared in CumCRP ≥ 10 mg/L. Hypertension, overweight, or smoking habits further modified the CumMHR-associated diabetic risk. CONCLUSIONS Cumulative MHR may be a promising supplement to hsCRP for more comprehensively assessing the influence of metabolic inflammation on T2DM susceptibility. For primary prevention, targeting high CumMHR, especially in cases at low risk of diabetes defined by traditional risk factors, may further help reduce the diabetic risk.
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Affiliation(s)
- Dan Wu
- The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China
- Department of Endocrinology, The First Affiliated Hospital of Shantou University Medical College, NO. 57, Changping Road, Jinping District, Shantou, 515041, Guangdong, China
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Room 521, Building 21/270 Joondalup Drive, Perth, WA, 6027, Australia
| | - Yulong Lan
- The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Room 521, Building 21/270 Joondalup Drive, Perth, WA, 6027, Australia
| | - Yuancheng Xu
- Department of Urology, The University of Hong Kong-Shenzhen Hospital, Haiyuan Road, Shenzhen, 518053, China
| | - Songna Xu
- Department of Endocrinology, The First Affiliated Hospital of Shantou University Medical College, NO. 57, Changping Road, Jinping District, Shantou, 515041, Guangdong, China
| | - Yuejun Huang
- Department of Endocrinology, The First Affiliated Hospital of Shantou University Medical College, NO. 57, Changping Road, Jinping District, Shantou, 515041, Guangdong, China
| | - Lois Balmer
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Room 521, Building 21/270 Joondalup Drive, Perth, WA, 6027, Australia
| | | | - Wencan Xu
- Department of Endocrinology, The First Affiliated Hospital of Shantou University Medical College, NO. 57, Changping Road, Jinping District, Shantou, 515041, Guangdong, China
| | - Wei Wang
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Room 521, Building 21/270 Joondalup Drive, Perth, WA, 6027, Australia
- Shantou University Medical College, Shantou, 515041, China
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069, China
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, 271000, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Xinghua East Road, Tangshan, 063000, China
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Wu Y, Hu H, Cai J, Chen R, Zuo X, Cheng H, Yan D. Association of mean arterial pressure with 5-year risk of incident diabetes in Chinese adults:a secondary population-based cohort study. BMJ Open 2022; 12:e048194. [PMID: 36123108 PMCID: PMC9486219 DOI: 10.1136/bmjopen-2020-048194] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Accepted: 10/13/2021] [Indexed: 02/05/2023] Open
Abstract
OBJECTIVE Hypertension predicts the development of diabetes. However, there are still lacking high-quality studies on the correlation between mean arterial pressure (MAP) and incident diabetes. We aimed to explore the relationship between MAP and diabetes in Chinese adults. DESIGN This is a secondary retrospective cohort study and the data were downloaded from the 'DATADRYAD' database (www.Datadryad.org). PARTICIPANTS The study included 210 418 adults without diabetes at baseline between 2010 and 2016 across 32 sites and 11 cities in China. SETTING The target-independent and dependent variables were MAP measured at baseline and diabetes occurred during follow-up. Cox proportional hazards regression was used to explore the relationship between MAP and diabetes. PRIMARY OUTCOME MEASURES The outcome was incident diabetes, which was defined as fasting blood glucose ≥7.00 mmol/L and/or self-reported diabetes during follow-up. Patients were censored either at the time of the diagnosis or at the last visit, whichever comes first. RESULTS 3927 participants developed diabetes during a 5-year follow-up. After adjusting covariates, MAP positively correlated with diabetes (HR=1.008, 95% CI 1.005 to 1.011, p<0.001), and the absolute risk difference was 0.02%. E-value analysis and multiple imputations were used to explore the robustness of the results. The relationship between MAP and diabetes was also non-linear, and the inflection point of MAP was 100.333 mm Hg. Subgroup analysis revealed a stronger association between MAP and diabetes in people with age (≥30,<50 years old), fasting plasma glucose <6.1 mmol/L and drinking. Additionally, receiver operating characteristic (ROC) curves showed the predictive performance of MAP for diabetes was similar to systolic blood pressure (SBP) (area under the curve (AUC)=0.694 with MAP vs AUC=0.698 with SBP). CONCLUSIONS MAP is an independent predictor for a 5-year risk of incident diabetes among Chinese adults. The relationship between MAP and diabetes is also non-linear. When MAP is below 100.333 mm Hg, MAP is closely positively related to diabetes.
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Affiliation(s)
- Yang Wu
- Endocrinology, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China
- Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Haofei Hu
- Shenzhen University Health Science Center, Shenzhen, Guangdong, China
- Nephrology, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China
| | - Jinlin Cai
- Endocrinology, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China
- Shantou University Medical College, Shantou, Guangdong, China
| | - Runtian Chen
- Endocrinology, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China
- Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Xin Zuo
- Endocrinology, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
| | - Heng Cheng
- Endocrinology, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
| | - Dewen Yan
- Endocrinology, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China
- Shenzhen University Health Science Center, Shenzhen, Guangdong, China
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Hypertension and the Risk of All-Cause and Cause-Specific Mortality: An Outcome-Wide Association Study of 67 Causes of Death in the National Health Interview Survey. BIOMED RESEARCH INTERNATIONAL 2021; 2021:9376134. [PMID: 34337061 PMCID: PMC8292050 DOI: 10.1155/2021/9376134] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 05/31/2021] [Accepted: 06/28/2021] [Indexed: 12/18/2022]
Abstract
Background Few studies have assessed the association between hypertension and risk of detailed causes of death. We investigated the association between hypertension and all-cause mortality and 67 causes of death in a large cohort. Methods Multivariable Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (95% CIs) for self-reported hypertension vs. no hypertension and mortality. Adults aged ≥18 years (n = 213798) were recruited in 1997-2004 and followed through December 31, 2006. Results During 5.81 years of follow-up, 11254 deaths occurred. Self-reported hypertension vs. no hypertension was associated with increased risk of all-cause mortality (HR = 1.25, 95% CI: 1.19-1.31) and mortality from septicemia (HR =1.66, 1.06-2.59), other infectious parasitic diseases (HR = 2.67, 1.09-6.51), diabetes mellitus (HR = 1.97, 1.45-2.67), circulatory disease (HR = 1.49, 1.37-1.61), hypertensive heart disease (HR = 3.23, 2.00-5.20), ischemic heart disease (HR = 1.35, 1.23-1.49), acute myocardial infarction (HR = 1.50, 1.27-1.77), other chronic ischemic heart diseases (HR = 1.35, 1.17-1.56), all other forms of heart disease (HR = 1.51, 1.21-1.89), primary hypertension and renal disease (HR = 3.11, 1.82-5.30), cerebrovascular disease (HR = 1.64, 1.37-1.97), other circulatory system diseases (HR = 1.71, 1.09-2.69), other chronic lower respiratory diseases (HR = 1.39, 1.12-1.73), other chronic liver disease (HR = 1.89, 1.06-3.37), renal failure (HR = 1.91, 1.33-2.74), motor vehicle accidents (HR = 1.60, 1.07-2.37), and all other diseases (HR =1.30, 1.10-1.54), but with lower risk of uterine cancer (HR = 0.37, 95% CI: 0.15-0.90) and Alzheimer's disease (HR = 0.65, 95% CI: 0.47-0.92). Conclusion Hypertension was associated with increased risk of all-cause mortality and 17 out of 67 causes of death, with most of these being circulatory disease outcomes, however, some of the remaining associations are unlikely to be causal. Further studies are needed to clarify associations with less common causes of death and potential causality across outcomes.
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The association between hypertension and other cardiovascular risk factors among non-diabetic Saudis adults-A cross sectional study. PLoS One 2021; 16:e0246568. [PMID: 33621259 PMCID: PMC7901777 DOI: 10.1371/journal.pone.0246568] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Accepted: 01/21/2021] [Indexed: 11/25/2022] Open
Abstract
Population specific associations between cardiovascular disease with various risk factors including pre-hypertension and hypertension were reported. We aimed to investigate the association of higher than optimal blood pressure with measures of dysglycemia, dyslipidemia, and markers of inflammation in non-diabetic Saudi adults hoping to improve current Saudi guidelines to prevent cardiovascular disease. Volunteers were recruited randomly from public healthcare centers in Jeddah. Demographic information, blood pressure (BP), and anthropometric measurements were taken. Fasting blood samples were drawn, then again following 1-hour oral glucose tolerance test. Glycated hemoglobin, fasting plasma glucose (FPG), lipid profile, highly sensitive C- reactive protein, gamma glutamyl transferase, and 1-hour plasma glucose were measured. Complete data was found for 742 men and 592 women. Pre-hypertension was found in 47.2% of men, and 24.7% of women, while 15.1% of men, and 14.6% of women were hypertensive. Means of measured variables differed significantly between normotensive, pre-hypertensive, and hypertensive groups of men and women in gender specific manner. Association between measured variables and elevated BP, and hypertension were assessed using logistic regression models. After adjustment for age, body mass index and waist circumference, elevated blood pressure was associated with elevated triglycerides in men, while hypertension was significantly associated with elevated fasting plasma glucose, total cholesterol, triglycerides, low density lipoprotein- cholesterol, and low high density lipoprotein- cholesterol in men, and elevated triglycerides, and total cholesterol in women. Therefore, it is strongly recommended to measure lipid profile, specifically TG, for all diagnosed pre-hypertensive and hypertensive patients in addition to FPG for men.
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Yang X, Chen J, Pan A, Wu JHY, Zhao F, Xie Y, Wang Y, Ye Y, Pan XF, Yang CX. Association between Higher Blood Pressure and Risk of Diabetes Mellitus in Middle-Aged and Elderly Chinese Adults. Diabetes Metab J 2020; 44:436-445. [PMID: 31769238 PMCID: PMC7332331 DOI: 10.4093/dmj.2019.0081] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Accepted: 06/18/2019] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND To examine the prospective association between higher blood pressure (BP) and risk of type 2 diabetes mellitus (T2DM) in middle-aged and elderly Chinese adults. METHODS A total of 9,642 middle-aged and elderly Chinese adults (≥45 years old; 47.30% men) without diabetes from the China Health and Retirement Longitudinal Study were included for analyses. Participants were categorized into three groups: normal BP, prehypertension, and hypertension, according to the 2010 Chinese Guidelines for the Management of Hypertension. The incidence of T2DM was determined by self-reported physician diagnosis during two follow-up surveys conducted in 2013 to 2014 and 2015 to 2016. RESULTS During the 4-year follow-up, 429 participants (4.45%) developed T2DM, including 3.51% of the men and 5.29% of the women. The incidence rates of T2DM were 2.57%, 3.75%, and 6.71% in the normal BP, prehypertension, and hypertension groups, respectively. After adjustment for age, sex, education level, residence, smoking status, alcohol consumption, body mass index, waist circumference, and dyslipidemia, both prehypertension (odds ratio [OR], 1.32; 95% confidence interval [CI], 0.98 to 1.77) and hypertension (OR, 2.02; 95% CI, 1.54 to 2.64) were associated with increased risk of T2DM, compared to those with a normal BP. The ORs associated with T2DM were 1.08 (95% CI, 1.03 to 1.13) for an increase of 10 mm Hg in systolic BP and 1.06 (95% CI, 1.01 to 1.10) for an increase of 5 mm Hg in diastolic BP. CONCLUSION Higher BP is a risk factor for T2DM in middle-aged and elderly Chines. It may be a potential target for diabetes prevention.
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Affiliation(s)
- Xue Yang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jian Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Chengdu Medical College, Chengdu, China
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jason H Y Wu
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Fei Zhao
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yue Xie
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yi Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Ye
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiong Fei Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- The George Institute for Global Health, University of New South Wales, Sydney, Australia.
| | - Chun Xia Yang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
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