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Deng H, Hu P, Li H, Zhou H, Wu X, Yuan M, Duan X, Lao M, Wu C, Zheng M, Lao XQ, Zhao W, Liu X. Novel lipid indicators and the risk of type 2 diabetes mellitus among Chinese hypertensive patients: findings from the Guangzhou Heart Study. Cardiovasc Diabetol 2022; 21:212. [PMID: 36243748 PMCID: PMC9571423 DOI: 10.1186/s12933-022-01660-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 10/03/2022] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Data are limited on whether several easily measured indices are independent predictors of type 2 diabetes mellitus (T2DM) in hypertensive patients. This study aimed to assess the association of hypertriglyceridemic-waist phenotype, triglyceride glucose (TyG) index, lipid accumulation product (LAP), and visceral adiposity index (VAI) with T2DM risk in hypertensive patients. METHODS This cross-sectional study included 5321 hypertensive patients from the baseline survey of the Guangzhou Heart Study. Face-to-face questionnaire survey, physical examination, and fasting blood sample collection were completed for all subjects. Odds ratio (OR) with 95% confidence interval (95% CI) were calculated by using the logistic regression model. The potential nonlinear relationship was examined using restricted cubic spline regression. RESULTS The prevalence of T2DM was 19.98% among hypertensive patients. After adjusting for confounders, participants with elevated triglyceride levels and enlarged waist circumference (HTGW) were associated with a 2.57-fold risk of T2DM (OR 2.57, 95% CI 2.05, 3.23). When comparing with subjects within the lowest quartile of the indices, those in the highest quartile of TyG, LAP, and VAI were associated with 5.35-fold (95% CI 4.33, 6.64), 2.65-fold (95% CI 2.11, 3.34), and 2.17-fold (95% CI 1.77, 2.67) risk of T2DM after adjusting for confounders. Every 1-unit increment of TyG, LAP, and VAI was associated with 81%, 38%, and 31% increased risk of T2DM, respectively. The nonlinear association was observed for TyG, LAP, and VAI (all P Non-linear < 0.001). CONCLUSIONS The results found that among hypertensive patients, HTGW and a higher level of TyG, LAP, and VAI were associated with an elevated risk of T2DM. The findings suggested that HTGW, TyG, LAP, and VAI may serve as simple and effective tools for T2DM risk assessment in the prevention and management of main chronic diseases.
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Affiliation(s)
- Hai Deng
- grid.413405.70000 0004 1808 0686Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Science, Guangzhou, 510080 China
| | - Peng Hu
- grid.411847.f0000 0004 1804 4300School of Public Health, Guangdong Pharmaceutical University, No. 283 Jianghai Avenue, Haizhu District, Guangzhou, 510310 China ,grid.12981.330000 0001 2360 039XDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080 China
| | - Huoxing Li
- grid.284723.80000 0000 8877 7471The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515 China
| | - Huanning Zhou
- Guangzhou Yuexiu District Center for Disease Control and Prevention, Guangzhou, China
| | - Xiuyi Wu
- Nancun Community Health Service Center, Guangzhou, 511442 China
| | - Maohua Yuan
- Dadong Street Community Health Service Center, Guangzhou, 510080 China
| | - Xueru Duan
- grid.12981.330000 0001 2360 039XDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080 China
| | - Miaochao Lao
- Department of Sleep Center, Department of Geriatric Respiratory, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangdong Provincial Geriatrics Institute, Guangzhou, 510080 China
| | - Chuchu Wu
- grid.411847.f0000 0004 1804 4300School of Public Health, Guangdong Pharmaceutical University, No. 283 Jianghai Avenue, Haizhu District, Guangzhou, 510310 China
| | - Murui Zheng
- grid.508371.80000 0004 1774 3337Department of Community Health, Guangzhou Center for Disease Control and Prevention, No. 1 Qide Road, Baiyun District, Guangzhou, 510440 China
| | - Xiang Qian Lao
- grid.10784.3a0000 0004 1937 0482JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, 999077 SAR China
| | - Wenjing Zhao
- grid.263817.90000 0004 1773 1790School of Public Health and Emergency Management, Southern University of Science and Technology, No. 1088 Xueyuan Avenue, Shenzhen, 518055 China
| | - Xudong Liu
- grid.411847.f0000 0004 1804 4300School of Public Health, Guangdong Pharmaceutical University, No. 283 Jianghai Avenue, Haizhu District, Guangzhou, 510310 China
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Hu P, Zheng M, Duan X, Zhou H, Huang J, Lao L, Zhao Y, Li Y, Xue M, Zhao W, Deng H, Liu X. Association of healthy lifestyles on the risk of hypertension, type 2 diabetes mellitus, and their comorbidity among subjects with dyslipidemia. Front Nutr 2022; 9:1006379. [PMID: 36225875 PMCID: PMC9550234 DOI: 10.3389/fnut.2022.1006379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 09/09/2022] [Indexed: 11/13/2022] Open
Abstract
Background Adherence to a healthy lifestyle could reduce the risk of hypertension and diabetes in general populations; however, whether the associations exist in subjects with dyslipidemia remains unclear. This study aimed to investigate the integrated effect of lifestyle factors on the risk of hypertension, type 2 diabetes mellitus (T2DM), and their comorbidity among subjects with dyslipidemia. Methods In total of 9,339 subjects with dyslipidemia were recruited from the baseline survey of the Guangzhou Heart Study. A questionnaire survey and medical examination were performed. The healthy lifestyle score (HLS) was derived from five factors: smoking, alcohol drinking, diet, body mass index, and leisure-time physical activity. Odds ratios (ORs) with 95% confidence interval (95% CI) were calculated by using the logistic regression model and the multinomial logistic regression after adjusting for confounders. Results The prevalence of hypertension, T2DM, and their comorbidity was 47.65, 16.02, and 10.10%, respectively. Subjects with a higher HLS were associated with a lower risk of hypertension, T2DM, and their comorbidity. In comparison to the subjects with 0–2 HLS, the adjusted ORs for subjects with five HLS was 0.48 (95% CI: 0.40–0.57) and 0.67 (95% CI: 0.54–0.84) for hypertension and T2DM. Compared with subjects with 0-2 HLS and neither hypertension nor T2DM, those with five HLS had a lower risk of suffering from only one disease (OR: 0.48, 95% CI: 0.40–0.57) and their comorbidity (OR: 0.35, 95% CI: 0.26–0.47). Conclusions The results suggest that the more kinds of healthy lifestyle, the lower the risk of hypertension, T2DM, and their comorbidity among subjects with dyslipidemia. Preventive strategies incorporating lifestyle factors may provide a more feasible approach for the prevention of main chronic diseases.
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Affiliation(s)
- Peng Hu
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Murui Zheng
- Department of Community Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Xueru Duan
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Huanning Zhou
- Department of Chronic Disease, Guangzhou Yuexiu District Center for Disease Control and Prevention, Guangzhou, China
| | - Jun Huang
- Department of Geriatrics, Institute of Geriatrics, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Guangzhou, China
| | - Lixian Lao
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Guangzhou, China
| | - Yue Zhao
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yi Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Meng Xue
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wenjing Zhao
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China
- *Correspondence: Wenjing Zhao
| | - Hai Deng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Guangzhou, China
- Hai Deng
| | - Xudong Liu
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
- Xudong Liu
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