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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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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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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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Research on Quality Evaluation of Product Interactive Aging Design Based on Kano Model. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:3869087. [PMID: 35140771 PMCID: PMC8820854 DOI: 10.1155/2022/3869087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 01/06/2022] [Accepted: 01/07/2022] [Indexed: 11/17/2022]
Abstract
At present, China’s population aging presents the characteristics of large base, fast aging process, and old age, but the research and development of product aging design in China is relatively late, which brings additional pressure to the daily life of the elderly. In such an environment, higher requirements are put forward for product aging design and service provision. Only products or services that timely meet the personalized and diversified needs of different customers can attract customers and improve customer satisfaction. How to design aging products with satisfactory appearance and humanized function is the focus of current research. Based on the product quality division of Kano model, this paper summarizes the domestic mainstream products and their functions. The designed questionnaire data are summarized; reliability and validity analysis, as well as descriptive statistical analysis, is performed on this basis for the constructed product service quality evaluation system. The service quality indicators are divided into three categories according to the Kano model: overall one-dimensional quality, charm quality, and necessary quality.
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Yu J, Yi Q, Hou L, Chen G, Shen Y, Song Y, Zhu Y, Song P. Transition of Lipid Accumulation Product Status and the Risk of Type 2 Diabetes Mellitus in Middle-Aged and Older Chinese: A National Cohort Study. Front Endocrinol (Lausanne) 2021; 12:770200. [PMID: 34899605 PMCID: PMC8660859 DOI: 10.3389/fendo.2021.770200] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 10/28/2021] [Indexed: 11/13/2022] Open
Abstract
Background Lipid accumulation product (LAP), a product of waist circumference (WC) and fasting triglycerides (TG), is a measure of lipid accumulation and an effective predictor of metabolic syndrome. This study aimed to evaluate the associations of LAP and its longitudinal transitions with type 2 diabetes mellitus (T2DM) among middle-aged and older Chinese. Methods Data were extracted from the China Health and Retirement Longitudinal Study (2011, 2013, 2015, and 2018). LAP was defined as (WC-65) ×TG for men, and (WC-58) ×TG for women. Participants were classified into high- and low-LAP groups at baseline, and subsequently into four transition patterns during 2011-2015: maintained-high, maintained-low, high-to-low, and low-to-high LAP. The longitudinal transition patterns of LAP on the development of T2DM were assessed by multivariable Cox frailty models. Results Overall, 7397 participants were included for analysis, among whom 849 (11.5%) developed T2DM between 2011 and 2018. Women with high-LAP levels at baseline presented a higher risk of T2DM (hazard ratios [HR]=1.37, 95% confidence interval [CI]: 1.07-1.77), while no significant association was found in men. Compared with women with maintained-low LAP pattern, those with transition patterns of low-to-high LAP and maintained-high LAP were at higher risk of T2DM (HR =1.99 and 1.98, both P<0.05); however, for men, the significantly positive association was only observed in maintained-high LAP transition pattern (HR=1.53, 95% CI: 1.04-2.23). Conclusions Elevated LAP levels and the transition patterns of maintained-high LAP and low-to-high LAP are significant risk factors for T2DM in women. Preventions are needed to combat T2DM at an early dyslipidemic stage.
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Affiliation(s)
- Jinyue Yu
- School of Public Health and Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Institute of Child Health, University College London, London, United Kingdom
| | - Qian Yi
- School of Public Health and Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Leying Hou
- School of Public Health and Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ge Chen
- Medical Research and Biometrics Center, National Center for Cardiovascular Diseases, Beijing, China
| | - Yaojia Shen
- School of Public Health and Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yuan Song
- School of Nursing, Henan University of Traditional Chinese Medicine, Zhengzhou, China
| | - Yimin Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Peige Song
- School of Public Health and Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Sung HH, Gi MY, Cha JA, Cho HE, Moon AE, Yoon H. Gender difference in the relationship between lipid accumulation product index and pulse pressure in nondiabetic Korean adults: The Korean National Health and Nutrition Examination Survey 2013-2014. Clin Exp Hypertens 2021; 44:146-153. [PMID: 34821192 DOI: 10.1080/10641963.2021.2007943] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
The present study was conducted to assess the association between the lipid accumulation product index (LAP) and pulse pressure (PP) by gender in nondiabetic Korean adults. This study used the data of 8,240 nondiabetic adults (3,577 men and 4,663 women) aged ≥ 20 years from the Korean National Health and Nutrition Examination Survey 2013-2014. Key findings from the study were as follows: first, the mean values of age for the overall population, men, and women were 49.59 ± 15.73 years, 49.26 ± 16.04 years, and 49.85 ± 15.47 years, respectively. Second, in women (n = 4,663), after adjustment for related variables and with quartile 1 of LAP as a reference, the odds ratios (ORs) of high PP (PP > 60 mmHg) were significantly higher in quartile 3 [1.735 (95% confidence interval [CI], 1.064-2.831)] and quartile 4 of LAP [2.271 (95% CI, 1.325-3.893)]. Third, high PP in men (n = 3,577) was not associated with the quartiles of LAP. Forth, after adjustment for related variables, the PP level was positively associated with the quartiles of LAP in women (p < .001) but not in men (p = .400). PP was positively associated with LAP in nondiabetic Korean women but not in men.
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Affiliation(s)
- Hyun Ho Sung
- Department of Clinical Laboratory Science, Dongnam Health University, Suwonsi, South Korea
| | - Mi Young Gi
- Department of Nursing, Christian College of Nursing, Gwangju, South Korea
| | - Ju Ae Cha
- Department of Nursing, Chunnam Technouniversity, Gokseong-gun, South Korea
| | - Hye Eun Cho
- Department of Dental Hygiene, Kwangju Womens's University, Gwangsan-gu, South Korea
| | - Ae Eun Moon
- Department of Dental Hygiene, Honam University, Gwangju, South Korea
| | - Hyun Yoon
- Department of Clinical Laboratory Science, Wonkwang Health Science University, Iksan-si, South Korea
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Liu Y, Wang Y, Wang J, Chen K, Jin L, Wang W, Gao Z, Tang X, Yan L, Wan Q, Luo Z, Qin G, Chen L, Mu Y. Lipid Accumulation Product is Associated with Urinary Albumin-creatinine Ratio in Chinese Prediabitic Population: A Report from the REACTION Study. Diabetes Metab Syndr Obes 2021; 14:2415-2425. [PMID: 34093028 PMCID: PMC8168967 DOI: 10.2147/dmso.s310751] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 04/30/2021] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Lipid accumulation product (LAP) as a powerful marker of visceral obesity is an independent risk factor of chronic kidney disease. The present study attempted to explore the association between LAP and albuminuria in prediabetic individuals. METHODS We conducted a cross-sectional study and enrolled 26,529 participants with prediabetes over 40 years old with prediabetes from seven provinces in China. LAP was calculated from waist circumference and fasting triglycerides. Elevated albuminuria was defined by urinary albumin-creatinine ratio (uACR) ≥30 mg/g. Propensity score matching was applied to reduce bias, comparison between LAP and other traditional visceral obesity indices was performed and multiple logistic regression models were conducted to assess the association between LAP and albuminuria in the prediabetic population. RESULTS Individuals with uACR ≥30 mg/g were older and had higher BP, BMI, WC, TG, fasting insulin, glycohemoglobin and LAP, as well as lower eGFR and HDL level. Multiple logistic regression analysis showed elevated LAP was associated with increased odds of albuminuria (OR [95%CI]Q2 vs Q1 1.09 [0.94, 1.27], OR [95%CI]Q3 vs Q1 1.13 [0.97, 1.31], OR [95%CI]Q4 vs Q1 1.42 [1.21, 1.67], P for trend=0.018), and superior over waist-to-hip ratio or waist-to-height ratio. Stratification indicated that the prediabetic population with higher LAP level and characterized by female gender, middle age, being overweight, and rise in blood pressure were more likely to have increased uACR. CONCLUSION Elevated level of LAP was associated with increased albuminuria in the prediabetic population in China.
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Affiliation(s)
- Yang Liu
- Graduate School, Chinese PLA General Hospital, Beijing, People’s Republic of China
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, People’s Republic of China
| | - Yun Wang
- Graduate School, Chinese PLA General Hospital, Beijing, People’s Republic of China
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, People’s Republic of China
| | - Jie Wang
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, People’s Republic of China
| | - Kang Chen
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, People’s Republic of China
| | - Lingzi Jin
- Department of International Medical Services, Peking Union Medical College Hospital (Xidan Campus), Beijing, People’s Republic of 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, People’s Republic of China
| | - Zhengnan Gao
- Department of Endocrinology, Dalian Central Hospital, Dalian, Liaoning, People’s Republic of China
| | - Xulei Tang
- Department of Endocrinology, First Hospital of Lanzhou University, Lanzhou, Gansu, People’s Republic of China
| | - Li Yan
- Department of Endocrinology, Zhongshan University Sun Yat-Sen Memorial Hospital, Guangzhou, Guangdong, People’s Republic of China
| | - Qin Wan
- Department of Endocrinology, Southwest Medical University Affiliated Hospital, Luzhou, Sichuan, People’s Republic of China
| | - Zuojie Luo
- Department of Endocrinology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Guijun Qin
- Department of Endocrinology, First Affiliated Hospital of Zhengzhou University, Zhenzhou, Henan, People’s Republic of China
| | - Lulu Chen
- Department of Endocrinology, Wuhan Union Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, People’s Republic of China
| | - Yiming Mu
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, People’s Republic of China
- Correspondence: Yiming Mu Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, People’s Republic of ChinaTel +86-10-5549 9001 Email
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Xu M, Huang M, Qiang D, Gu J, Li Y, Pan Y, Yao X, Xu W, Tao Y, Zhou Y, Ma H. Hypertriglyceridemic Waist Phenotype and Lipid Accumulation Product: Two Comprehensive Obese Indicators of Waist Circumference and Triglyceride to Predict Type 2 Diabetes Mellitus in Chinese Population. J Diabetes Res 2020; 2020:9157430. [PMID: 33344653 PMCID: PMC7725575 DOI: 10.1155/2020/9157430] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 08/23/2020] [Accepted: 11/19/2020] [Indexed: 12/12/2022] Open
Abstract
PURPOSE To determine whether hypertriglyceridemic waist (HTGW) and high lipid accumulation product (LAP) preceded the incidence of type 2 diabetes mellitus (T2DM), and to investigate the interactions of HTGW and LAP with other components of metabolic syndrome on the risk of T2DM. METHODS A total of 15,717 eligible participants without baseline T2DM and aged 35 and over were included from a Chinese rural cohort. Cox proportional hazards regression models were used to estimate the association of HTGW and LAP with the incidence of T2DM, and the restricted cubic spline model was used to evaluate the dose-response association. RESULTS Overall, 867 new T2DM cases were diagnosed after 7.77 years of follow-up. Participants with HTGW had a higher hazard ratio for T2DM (hazard ratio (HR): 6.249, 95% confidence interval (CI): 5.199-7.511) after adjustment for potential confounders. The risk of incident T2DM was increased with quartiles 3 and 4 versus quartile 1 of LAP, and the adjusted HRs (95% CIs) were 2.903 (2.226-3.784) and 6.298 (4.911-8.077), respectively. There were additive interactions of HTGW (synergy index (SI): 1.678, 95% CI: 1.358-2.072) and high LAP (SI: 1.701, 95% CI: 1.406-2.059) with increased fasting plasma glucose (FPG) on the risk of T2DM. Additionally, a nonlinear (P nonlinear < 0.001) dose-response association was found between LAP and T2DM. CONCLUSION The subjects with HTGW and high LAP were at high risk of developing T2DM, and the association between LAP and the risk of T2DM may be nonlinear. Our study further demonstrates additive interactions of HTGW and high LAP with increased FPG on the risk of T2DM.
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Affiliation(s)
- Minrui Xu
- Wujin District Center for Disease Prevention and Control, Changzhou, Jiangsu, China
| | - Mingtao Huang
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Prenatal Diagnosis, Nanjing Maternity and Child Health Care Hospital, Women's Hospital of Nanjing Medical University, Nanjing, China
| | - Deren Qiang
- Wujin District Center for Disease Prevention and Control, Changzhou, Jiangsu, China
| | - Jianxin Gu
- Wujin District Center for Disease Prevention and Control, Changzhou, Jiangsu, China
| | - Yong Li
- Wujin District Center for Disease Prevention and Control, Changzhou, Jiangsu, China
| | - Yingzi Pan
- Wujin District Center for Disease Prevention and Control, Changzhou, Jiangsu, China
| | - Xingjuan Yao
- Changzhou Center for Disease Prevention and Control, Changzhou, Jiangsu, China
| | - Wenchao Xu
- Changzhou Center for Disease Prevention and Control, Changzhou, Jiangsu, China
| | - Yuan Tao
- Department of Medical Affairs, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Changzhou, Jiangsu, China
| | - Yihong Zhou
- Wujin District Center for Disease Prevention and Control, Changzhou, Jiangsu, China
| | - Hongxia Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
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