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Qin L, Wu X, Tan C, Zhang Z, Li Y, Zhu X, Qin S, Tan S. Non-linear association and benchmark dose of blood pressure on carotid artery intima-media thickening in a general population of southern China. Front Cardiovasc Med 2024; 11:1325947. [PMID: 38803665 PMCID: PMC11128656 DOI: 10.3389/fcvm.2024.1325947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Accepted: 04/24/2024] [Indexed: 05/29/2024] Open
Abstract
Background and aims This study aimed to evaluate whether there is a J-curve association between blood pressure (BP) and carotid artery intima-media thickening (CAIT) and estimate the effect of the turning point of BP on CAIT. Methods and results Data from 111,494 regular physical examinations conducted on workers and retirees (aged 18 years or older) between January 2011 and December 2016, exported from the hospital information system, were analyzed. Restricted cubic splines (RCS) logistic regression was employed to access the association of BP with CAIT, and Bayesian benchmark dose methods were used to estimate the benchmark dose as the departure point of BP measurements. All the pnon-linear values of BP measurements were less than 0.05 in the RCS logistic regression models. Both systolic blood pressure (SBP) and diastolic blood pressure (DBP) had J-curve associations with the risk of CAIT at a turning point around 120/70 mmHg in the RCS. The benchmark dose for a 1% change in CAIT risk was estimated to be 120.64 mmHg for SBP and 72.46 mmHg for DBP. Conclusion The J-curve associations between SBP and DBP and the risk of CAIT were observed in the general population in southern China, and the turning point of blood pressure for significantly reducing the risk of CAIT was estimated to be 120.64/72.46 mmHg for SBP/DBP.
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Affiliation(s)
- Linyuan Qin
- Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, Guilin, Guangxi, China
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, Guangxi, China
| | - Xiaoyan Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, Guilin, Guangxi, China
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, Guangxi, China
| | - Chao Tan
- Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, Guilin, Guangxi, China
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, Guangxi, China
| | - Zhengbao Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, Guilin, Guangxi, China
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, Guangxi, China
| | - You Li
- Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, Guilin, Guangxi, China
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, Guangxi, China
| | - Xiaonian Zhu
- Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, Guilin, Guangxi, China
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, Guangxi, China
| | - Shenghua Qin
- Physical Examination Center, Guilin People's Hospital, Guilin, Guangxi, China
| | - Shengkui Tan
- Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, Guilin, Guangxi, China
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, Guangxi, China
- Party Committee Office, Youjiang Medical University for Nationalities, Baise, Guangxi, China
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Pan G, Liu Y, Yu L, Yang R, Yang T, Wang Y, Su J, Li Z, Cheng Q, Gao S, Li L, Yu C. Relationship Between Serum Uric Acid and Carotid Plaque in Patients With Coronary Artery Disease by Sex and Blood Pressure Status. Angiology 2024; 75:274-280. [PMID: 36617727 DOI: 10.1177/00033197221150614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The purpose of this study was to explore the sex difference and effects of blood pressure (BP) on the relationship between serum uric acid (SUA) and carotid plaque in patients with coronary heart disease (CHD). This large multicenter retrospective study included 12099 patients with CHD (aged 35-75 years) between January 1, 2014 and September 30, 2020. Patients were divided into three groups according to systolic BP (SBP) and diastolic BP (DBP), and the SUA levels in males and females were converted into three groups. Logistic regression was used to analyze the influence of sex and BP on the relationship between SUA levels and carotid plaque in patients with CHD. In the model of male BP subgroups, using the BP of group A (normal with SBP <120 mmHg and DBP <80 mmHg) as a reference, SUA levels were significantly correlated with the occurrence of carotid plaque under different BP states (P < .001). In contrast, in the model of female BP subgroups, most of these correlations were not statistically significant. Our study showed that SUA levels were significantly associated with carotid plaque occurrence in males with CHD, which remained significant across different BP states.
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Affiliation(s)
- Guangwei Pan
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yijia Liu
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Lu Yu
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Rongrong Yang
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Tong Yang
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yang Wang
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Jinyu Su
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Zhu Li
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Qi Cheng
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Sheng Gao
- Nankai Hospital of Tianjin, Tianjin, China
| | - Lin Li
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Chunquan Yu
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
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Inuzuka S, Vitorino PVDO, Barroso AS, Magalhães FG, Sousa AC, Alves Filho RPP, Melo VA, Oliveira LFD, Sousa ALL, Jardim PCBV, Coca A, Barroso WKS. Pulse Wave Velocity of 8.2 m/s as a Threshold Associated with Cardiovascular Target Organ Damage Presence. Arq Bras Cardiol 2023; 120:e20220934. [PMID: 37909579 DOI: 10.36660/abc.20220934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 08/24/2023] [Indexed: 11/03/2023] Open
Abstract
BACKGROUND Previous studies have established normal and reference values for Pulse Wave Velocity (PWV). However, the PWV value that has the strongest association with cardiovascular biomarkers remains poorly understood. OBJECTIVE This study aimed to determine the PWV value more likely to be associated with left ventricular hypertrophy (LVH), increased intima-media thickness (IMT), and presence of carotid plaques in patients with hypertension. METHODS This cross-sectional study included 119 patients. Analysis of receiver operating characteristic (ROC) curves was performed for each cardiovascular biomarker. Statistical significance was set at p < 0.05. RESULTS According to the ROC curve analysis, the PWV values were 8.1 m/s, 8.2 m/s, and 8.7 for the LVH, IMT, and presence of carotid plaques, respectively. A PWV value of 8.2 m/s was identified as the best parameter to determine the three TOD biomarkers. PWV above 8.2 m/s was associated with increased CIMT (p = 0.004) and the presence of carotid plaques (p = 0.003) and LVH (p<0.001). PWV above 8.2 showed greater sensitivity for increased CIMT (AUC = 0.678, sensitivity = 62.2), LVH (AUC = 0.717, sensitivity = 87.2), and the presence of plaques (AUC = 0.649, sensitivity = 74.51) in the ROC curve analysis. CONCLUSION The PWV value 8.2 m/s was more sensitive in early identifying the existence of cardiovascular biomarkers of TOD.
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Affiliation(s)
- Sayuri Inuzuka
- Universidade Federal de Goiás - Liga de Hipertensão Arterial, Goiânia, GO - Brasil
| | | | | | | | | | | | - Victoria Alves Melo
- Universidade Federal de Goiás - Liga de Hipertensão Arterial, Goiânia, GO - Brasil
| | | | - Ana Luiza Lima Sousa
- Universidade Federal de Goiás - Liga de Hipertensão Arterial, Goiânia, GO - Brasil
| | | | - Antonio Coca
- Hypertension and Vascular Risk Unit. Hospital Clinic. University of Barcelona, Barcelona - Espanha
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4
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Luo Y, Wang Q, Li H, Lin W, Yao J, Zhang J, Duan S, Zhang W, Zheng Y, Cai G, Zhang L, Dong Z, Chen X. Serum cystatin C is associated with peripheral artery stiffness in patients with type 2 diabetes mellitus combined with chronic kidney disease. Clin Biochem 2023; 118:110593. [PMID: 37270044 DOI: 10.1016/j.clinbiochem.2023.110593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Revised: 05/12/2023] [Accepted: 05/30/2023] [Indexed: 06/05/2023]
Abstract
OBJECTIVE Cystatin C (CysC) is associated with arterial stiffness. However, its suitability for evaluating patients with type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD) remains unclear. We aimed to investigate the relationship between CysC levels and peripheral arterial stiffness (PAS) in patients with T2DM combined with CKD. METHODS Participants' arterial stiffness was assessed using brachial-ankle pulse wave velocity (baPWV), and those with a baPWV ≥ 1800 cm/s were included in the PAS group. Additionally, patients were divided into young (18-44 years old), middle-aged (45-59 years old), and older (≥60 years old) groups. RESULTS Of 200 patients, 94 (47%) were diagnosed with PAS. Multivariate logistic regression revealed that age, pulse pressure, and CysC levels (odds ratio = 1.525, 95% confidence interval: 1.072-2.168, P = 0.019) were independently correlated with PAS in patients with T2DM combined with CKD. The levels of CysC in different age groups were positively correlated with baPWV, and the correlation was significantly higher in the young group (r = 0.739, P < 0.001) than in the middle-aged (r = 0.329, P < 0.001) and older (r = 0.496, P < 0.001) groups. The multifactor linear regression analysis revealed that CysC was significantly correlated with baPWV in the young group (β = 0.455, P = 0.002). CONCLUSION CysC was an independent predictor of PAS in patients with T2DM combined with CKD and was more significantly associated with baPWV in young patients than in middle-aged and older patients. CysC may may be an early predictor of peripheral arteriosclerosis in patients with T2DM combined with CKD.
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Affiliation(s)
- Yayong Luo
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China; School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Qian Wang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China
| | - Hangtian Li
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China; School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Wenwen Lin
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China; School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Jin Yao
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China; School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Jie Zhang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China
| | - Shuwei Duan
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China
| | - Weiguang Zhang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China
| | - Ying Zheng
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China
| | - Guangyan Cai
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China
| | - Li Zhang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China.
| | - Zheyi Dong
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China.
| | - Xiangmei Chen
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China; School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China.
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Li X, Yu J, Bai J, Huang H, Ying S, Wang A, Wang P. Interaction Between Obesity and Hypertension on Arteriosclerosis in Chinese Urban Adults: A Population-Based Cross-Sectional Study. Clin Nurs Res 2023; 32:629-638. [PMID: 36169279 DOI: 10.1177/10547738221120733] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This study recruited 9,830 participants to identify whether the interaction between obesity and hypertension affects the occurrence of arteriosclerosis in Chinese adults. Brachial-ankle pulse wave velocity (baPWV) was measured to diagnose arteriosclerosis. Unconditional logistic regression was used for multiplicative interaction. The additive interaction was represented by relative excess risk due to interaction (RERI), attributable proportion (AP), and synergy (S). Hypertension was an independent risk factor for baPWV (p < .01), but obesity was not (p = .08). The interaction between obesity and hypertension on arteriosclerosis was not multiplicative (adjusted odds ratio = 0.89 (0.79-1.01), p = .07), but a negative additive interaction (RERI = -4.33, AP = -2.91, S = 0.10; p < .01) exists. Therefore, obesity may reduce the risk of arteriosclerosis caused by hypertension when hypertension and obesity coexist, especially in women and middle-aged people, which supports the obesity paradox.
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Affiliation(s)
- Xiaohan Li
- Faculty of Sport Science, Research Academy of Grand Health, Ningbo University, China
| | - Junwu Yu
- Ningbo Puyuanphysio Clinic, China
- Ningbo College of Health Sciences, China
| | | | - Huiming Huang
- Faculty of Sport Science, Research Academy of Grand Health, Ningbo University, China
| | - Shanshan Ying
- Faculty of Sport Science, Research Academy of Grand Health, Ningbo University, China
| | - Aiwen Wang
- Faculty of Sport Science, Research Academy of Grand Health, Ningbo University, China
| | - Ping Wang
- Lingnan Normal University, Zhanjiang, China
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Geng R, Feng Q, Ji M, Dong Y, Xu S, Liu C, He Y, Tang Z. Sex-specific association of serum uric acid trajectories with risk of incident retinal arteriosclerosis in Chinese population: A population-based longitudinal study. Front Cardiovasc Med 2023; 10:1116486. [PMID: 36926048 PMCID: PMC10011080 DOI: 10.3389/fcvm.2023.1116486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 02/08/2023] [Indexed: 03/04/2023] Open
Abstract
Background The impact of serum uric acid (SUA) trajectories on the development of retinal arteriosclerosis is uncertain. The purpose of this study was to identify adult SUA trajectories by sex and determine their association with risk of retinal arteriosclerosis. Methods In this longitudinal study, 4,324 participants who were aged between 18 and 60 years without retinal arteriosclerosis at or before baseline (from January 1, 2010, through December 31, 2010) were included. Group-based trajectory modeling was used to identify SUA trajectories during the exposure period (from January 1, 2006, through December 31, 2010). Cox proportional-hazards models were applied to evaluate the associations between SUA trajectories and the risk of incident retinal arteriosclerosis during the outcome period (from January 1, 2011, through December 31, 2019). Results 4 distinct SUA trajectories were identified in both women and men: low, moderate, moderate-high, and high. During a median follow-up of 9.54 years (IQR 9.53-9.56), 97 women and 295 men had developed retinal arteriosclerosis. In the fully adjusted model, a significant association between the moderate-high SUA trajectory group and incidence of retinal arteriosclerosis was observed only in men (HR: 1.76, 95% CI: 1.17-2.65) compared with the low trajectory group, but not in women (HR: 0.77, 95% CI: 0.39-1.52). Also, the high SUA trajectory group had the highest risk with an adjusted HR of 1.81 (95% CI, 1.04-3.17) in men. However, they did not exhibit a substantially increased risk in women. Conclusion Higher SUA trajectory groups were significantly associated with an increased risk of incident retinal arteriosclerosis in men but not in women.
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Affiliation(s)
- Ruirui Geng
- Department of Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.,Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou, China
| | - Qinbei Feng
- Department of Laboratory, Hua Dong Sanatorium, Wuxi, China
| | - Mengmeng Ji
- Department of Laboratory, Hua Dong Sanatorium, Wuxi, China
| | - Yongfei Dong
- Department of Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.,Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou, China
| | - Shuanshuan Xu
- Department of Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.,Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou, China
| | - Chunxing Liu
- Department of Laboratory, Hua Dong Sanatorium, Wuxi, China
| | - Yufeng He
- Department of Stomatology, Hua Dong Sanatorium, Wuxi, China
| | - Zaixiang Tang
- Department of Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.,Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou, China
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Lee X, Gao Y, Zhang Y, Feng Y, Gao L, Wang A, Jiang Y, Huang H. Comparison of 10 obesity-related indices for predicting hypertension based on ROC analysis in Chinese adults. Front Public Health 2022; 10:1042236. [PMID: 36504986 PMCID: PMC9732655 DOI: 10.3389/fpubh.2022.1042236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 11/08/2022] [Indexed: 11/26/2022] Open
Abstract
OBJECTIVE To compare the predictive performance of the percentage body fat (PBF), body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-hip ratio (WHR), waist-height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI), abdominal volume index (AVI), and conicity index (CI) for identifying hypertension. METHODS A cross-sectional study was conducted among 2,801 adults (1,499 men and 1,302 women) aged 18 to 81 in Ningbo, China. The receiver operator characteristic (ROC) analysis and multiple non-parametric Z tests were used to compare the areas under the curve (AUC). The maximum Youden's indices were used to determine the optimal cut-off points of 10 obesity-related indices (ORI) for hypertension risk. RESULTS The AUC of all the indices were statistically significant (P < 0.05). The AUC of all the indices in men and women were 0.67-0.73 and 0.72-0.79, respectively. Further non-parametric Z tests showed that WHR had the highest AUC values in both men [0.73 (95% CI: 0.70, 0.76)] and women (0.79 (95% CI: 0.75, 0.83)], and several central ORI (men: WHR, WC, BRI, AVI, and CI, 0.71-0.73; women: WC, WHR, and AVI, 0.77-0.79) were higher than general ORI (PBF and BMI, 0.68 in men; 0.72-0.75 in women), with adjusted P < 0.05. The optimal cut-off points for identifying hypertension in men and women were as follows: PBF (23.55%, 32.55%), BMI (25.72 kg/m2, 23.46 kg/m2), HC (97.59 cm, 94.82 cm), WC (90.26 cm, 82.78 cm), WHR (0.91, 0.88), WHtR (0.51, 0.55), ABSI (0.08 m7/6/kg2/3, 0.08 m7/6/kg2/3), BRI (4.05, 4.32), AVI (16.31 cm2, 13.83 cm2), and CI (1.23 m2/3/kg1/2, 1.27 m2/3/kg1/2). Multivariate logistic regression models showed that all indices were statistically significant (P < 0.05) with the adjusted ORs (per 1-SD increase) at 1.39-2.06 and ORs (over the optimal cut-off points) at 1.80-2.64. CONCLUSIONS All 10 ORI (PBF, BMI, HC, WC, WHR, WHtR, ABSI, BRI, AVI, and CI) can effectively predict hypertension, among which WHR should be recommended as the best predictor. Central ORI (WHR, WC, and AVI) had a better predictive performance than general ORIs (PBF and BMI) when predicting the risk of hypertension.
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Affiliation(s)
- Xiaohan Lee
- Faculty of Sports Science, Ningbo University, Ningbo, China
- Research Academy of Grand Health, Ningbo University, Ningbo, China
| | - Yanan Gao
- Faculty of Sports Science, Ningbo University, Ningbo, China
- Research Academy of Grand Health, Ningbo University, Ningbo, China
| | - Yuting Zhang
- Faculty of Sports Science, Ningbo University, Ningbo, China
- Research Academy of Grand Health, Ningbo University, Ningbo, China
| | - Yong Feng
- Faculty of Sports Science, Ningbo University, Ningbo, China
- Research Academy of Grand Health, Ningbo University, Ningbo, China
| | - Linna Gao
- Faculty of Sports Science, Ningbo University, Ningbo, China
- Research Academy of Grand Health, Ningbo University, Ningbo, China
| | - Aiwen Wang
- Faculty of Sports Science, Ningbo University, Ningbo, China
- Research Academy of Grand Health, Ningbo University, Ningbo, China
| | - Yongbao Jiang
- Affiliated Hospital of Ningbo University, Ningbo, China
| | - Huiming Huang
- Faculty of Sports Science, Ningbo University, Ningbo, China
- Research Academy of Grand Health, Ningbo University, Ningbo, China
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