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Jin X, Wei Y, Mo Y, Zhang Q, Xu M, Mai X, Yan B, Xie W, Huang S, Li M, Mo Z. Associations of obesity and novel lipid indicators in the risk of type 2 diabetes mellitus in Chinese elderly hypertensive patients. Front Endocrinol (Lausanne) 2025; 16:1475323. [PMID: 40235662 PMCID: PMC11996637 DOI: 10.3389/fendo.2025.1475323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2024] [Accepted: 03/12/2025] [Indexed: 04/17/2025] Open
Abstract
Background The associations of waist circumference (WC), body mass index (BMI), lipid accumulation product (LAP), Chinese visceral adiposity index (CVAI), and triglyceride-glucose Index (TyG) with the risk of type 2 diabetes mellitus (T2DM) remained uncertain in Chinese middle-aged and elderly hypertensive patients. Methods A total of 1,965 hypertensive participants aged 45 years and elderly were included in the cross-sectional analysis, and 1,576 hypertensive participants without T2DM for the cohort analysis. In the cross-sectional study, binary logistic regression, restricted cubic splines (RCS), and receiver operating characteristic (ROC) were used to analyze the relationships between WC, BMI, LAP, CVAI, and TyG with and T2DM in hypertensive patients. In the cohort study, Kaplan-Meier survival analyses and Cox regression were further performed to determine the associations of these indicators with incident T2DM risk. Results In the cohort study, there were 101 incident T2DM cases occurred during a median follow-up of 30 months, with an incident rate was 2.78 per 100 person-years. The cross-sectional study showed that the risk of T2DM increased significantly with higher quartiles of WC, BMI, LAP, CVAI, and TyG (all P -trend < 0.001). In the cohort study, Cox regression model showed that WC (Q4 vs. Q1, HR = 3.30, 95% CI = 1.66-6.59), BMI (Q4 vs. Q1, HR = 2.38, 95% CI = 1.30-4.36), LAP (Q4 vs. Q1, HR = 5.15, 95% CI = 2.40-11.02), CVAI (Q4 vs. Q1, HR = 3.38, 95% CI = 1.76-6.50), and TyG (Q4 vs. Q1, HR = 5.76, 95% CI = 2.82-11.77) were associated with a higher risk of incident T2DM. RCS confirmed the positive dose-response relationships of WC, BMI, CVAI and TyG with T2DM in both study design, except for LAP in the cohort study. Additionally, ROC analysis revealed that TyG had the strongest area under the curve (AUC) of 0.70 (95% CI = 0.67-0.72) in the cross-sectional study, and the AUC of other indicators ranged from 0.55 to 0.57. Conclusion Higher levels of WC, BMI, LAP, CVAI, and TyG are associated with a higher riskof developing incident T2DM in Chinese elderly hypertensive patients, and TyG might be the most effective predictive indicator.
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Affiliation(s)
- Xihui Jin
- Institute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, Guangxi, China
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Yushuang Wei
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China
- School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
| | - YeMei Mo
- The First People’s Hospital of Yulin, Yulin, Guangxi, China
| | - Qiuling Zhang
- The First People’s Hospital of Yulin, Yulin, Guangxi, China
| | - Mingjie Xu
- Institute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, Guangxi, China
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Xiaoyou Mai
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China
- School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
| | - Boteng Yan
- Institute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, Guangxi, China
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Wenchao Xie
- The First People’s Hospital of Yulin, Yulin, Guangxi, China
| | - Shengzhu Huang
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Mingli Li
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Zengnan Mo
- Institute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, Guangxi, China
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China
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Yang Y, Peng P, Huang H, Zhao Y, Li Y, Xu X, Jiang S, Yang Y, Pan G, Wen Y, Wu D, Chen S, Feng L, Peng T, Wang J, Li Z. The triglyceride-glucose index and risk of cognitive impairment: a systematic review and meta-analysis with inclusion of two national databases. Front Neurol 2024; 15:1496871. [PMID: 39677858 PMCID: PMC11638587 DOI: 10.3389/fneur.2024.1496871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2024] [Accepted: 11/15/2024] [Indexed: 12/17/2024] Open
Abstract
Background To investigate the relationship between the triglyceride and glucose (TyG) index and cognitive impairment (CI). Methods Five authoritative databases were systematically searched for potentially relevant studies on 'TyG index' and 'CI' from inception to 27 April 2024. Two representative databases from the United Kingdom and United States were also included. We used the PICOS criteria to select available articles. All data was combined to compute Odd Ratios (ORs). Results 15 studies were included in the meta-analysis (participants: 5604303). The pooled effect sizes demonstrate that individuals with a high TyG index exhibit a significantly elevated risk of CI compared to those with a low TyG index (OR = 2.16, 95%CI: 1.51; 3.08, p < 0.001). The subgroup analysis showed that inpatients with a high TyG index exhibited an increased risk of CI (OR = 4.56, 95%CI: 3.09; 6.74, p < 0.001). Furthermore, the risk of developing distinct types of CI differed significantly [CI: OR = 1.64, 95% CI: 1.29; 2.07, p < 0.001; Vascular Cognitive Impairment (VCI): OR = 5.39, 95% CI: 3.33; 8.70, p < 0.001]. Conclusion A positive correlation exists between the TyG index and risk of CI, which has potential value in optimizing CI risk stratification among elderly people, especially those hospitalized. Systematic review registration https://www.crd.york.ac.uk/prospero/, identifier CRD42023450336.
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Affiliation(s)
- Ying Yang
- Department of Neurology, Geriatric Diseases Institute of Chengdu/Cancer Prevention and Treatment Institute of Chengdu, Chengdu Fifth People’s Hospital (The Second Clinical Medical College, Affiliated Fifth People’s Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China
- School of Computer Science and Technology, Chongqing University of Postsand Telecommunications, Chongqing, China
| | - Pai Peng
- School of Clinical Medicine, Jinggangshan University, Ji'an, Jiangxi Province, China
- Online Collaborative Research Center for Evidence-Based Medicine Ministry of Education, Jinggangshan University Branch, Ji'an, Jiangxi Province, China
| | - Huadong Huang
- School of Clinical Medicine, Jinggangshan University, Ji'an, Jiangxi Province, China
- Online Collaborative Research Center for Evidence-Based Medicine Ministry of Education, Jinggangshan University Branch, Ji'an, Jiangxi Province, China
| | - Yanan Zhao
- Online Collaborative Research Center for Evidence-Based Medicine Ministry of Education, Jinggangshan University Branch, Ji'an, Jiangxi Province, China
- School of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi Province, China
| | - Yating Li
- Online Collaborative Research Center for Evidence-Based Medicine Ministry of Education, Jinggangshan University Branch, Ji'an, Jiangxi Province, China
- School of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi Province, China
| | - Xiao Xu
- State Key Laboratory of Cardiovascular Diseases, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Shixie Jiang
- Department of Psychiatry, University of Florida College of Medicine, Gainesville, FL, United States
| | - Yanrong Yang
- Department of Neurology, Geriatric Diseases Institute of Chengdu/Cancer Prevention and Treatment Institute of Chengdu, Chengdu Fifth People’s Hospital (The Second Clinical Medical College, Affiliated Fifth People’s Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China
| | - Gaofeng Pan
- Department of Neurology, Geriatric Diseases Institute of Chengdu/Cancer Prevention and Treatment Institute of Chengdu, Chengdu Fifth People’s Hospital (The Second Clinical Medical College, Affiliated Fifth People’s Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China
| | - Yanting Wen
- Department of Ultrasound Medicine, Chengdu Fifth People’s Hospital, Chengdu, Sichuan Province, China
| | - Dan Wu
- School of Computer Science and Technology, Chongqing University of Postsand Telecommunications, Chongqing, China
| | - Shanping Chen
- Department of Geriatrics, Chengdu Fifth People’s Hospital, Chengdu, Sichuan Province, China
| | - Lei Feng
- Department of Neurology, Geriatric Diseases Institute of Chengdu/Cancer Prevention and Treatment Institute of Chengdu, Chengdu Fifth People’s Hospital (The Second Clinical Medical College, Affiliated Fifth People’s Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China
| | - Tangming Peng
- Department of Neurology, Geriatric Diseases Institute of Chengdu/Cancer Prevention and Treatment Institute of Chengdu, Chengdu Fifth People’s Hospital (The Second Clinical Medical College, Affiliated Fifth People’s Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China
| | - Jiang Wang
- Online Collaborative Research Center for Evidence-Based Medicine Ministry of Education, Jinggangshan University Branch, Ji'an, Jiangxi Province, China
- School of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi Province, China
| | - Zheng Li
- Department of Neurology, Geriatric Diseases Institute of Chengdu/Cancer Prevention and Treatment Institute of Chengdu, Chengdu Fifth People’s Hospital (The Second Clinical Medical College, Affiliated Fifth People’s Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China
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Zha F, Chen M, Shan L, Zhao J, Cao C, Wang Y. Non-linear relationship between lipid accumulation products and risk of diabetes in Japanese adults. Sci Rep 2024; 14:27106. [PMID: 39511357 PMCID: PMC11544252 DOI: 10.1038/s41598-024-78672-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 11/04/2024] [Indexed: 11/15/2024] Open
Abstract
The lipid accumulation product (LAP) is a novel, sex-specific indicator of lipid accumulation. While previous studies have investigated the relationship between LAP and diabetes, they have not specifically addressed potential sex differences in this association. The present study explores the potential sex-specific differences in the relationship between LAP and diabetes mellitus (DM) risk in the Japanese population. From 2004 to 2015, a total of 15,263 Japanese individuals without DM underwent physical assessments at Murakami Memorial Hospital. The association between LAP and incident diabetes was analyzed using Cox proportional hazards regression models, incorporating cubic spline functions and smooth curve fitting to identify potential non-linear relationships. Subgroup and sensitivity analysis assessments were conducted to validate the robustness of our findings. After adjusting for covariates, a positive association between LAP and DM risk was observed in both females (HR: 1.02, 95% CI: 1.00-1.03, P = 0.0138) and males (HR: 1.01, 95% CI: 1.00-1.01, P = 0.0314). A non-linear association between LAP and incident DM was identified for both sexes. The inflection points for LAP were 16.58 for females and 11.11 for males. In females, the HR to the left and right of the inflection point were 1.09 (95% CI: 1.02-1.17) and 1.01 (95% CI: 1.00-1.03), respectively. In males, the HR to the left and right of the inflection point were 0.92 (95% CI: 0.86-0.98) and 1.01 (95% CI: 1.00-1.01), respectively. Sensitivity analysis indicated a stronger association between LAP and DM risk. Elevated baseline LAP levels were associated with an increased risk of incident DM, with the relationship exhibiting non-linear characteristics. These findings suggest that maintaining lower LAP levels may help mitigate the risk of developing diabetes.
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Affiliation(s)
- Fubing Zha
- Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, No.3002, Sungang West Road, Futian District, Shenzhen, 518000, Guangdong Province, China
| | - Miaoling Chen
- Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, No.3002, Sungang West Road, Futian District, Shenzhen, 518000, Guangdong Province, China
| | - Linlin Shan
- Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, No.3002, Sungang West Road, Futian District, Shenzhen, 518000, Guangdong Province, China
| | - Jingpu Zhao
- Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, No.3002, Sungang West Road, Futian District, Shenzhen, 518000, Guangdong Province, China
| | - Changchun Cao
- Department of Rehabilitation, Shenzhen Second People's Hospital Dapeng New District Nan'ao Hospital, No. 6, Renmin Road, Dapeng New District, Shenzhen, 518000, Guangdong Province, China.
| | - Yulong Wang
- Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, No.3002, Sungang West Road, Futian District, Shenzhen, 518000, Guangdong Province, China.
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Yang Q, Wuliu J, Zeng L, Huang J, Tang G, Zhang J, Liao K, Deng K. Association between a body shape index and female infertility: a cross-sectional study. BMC Womens Health 2024; 24:486. [PMID: 39227849 PMCID: PMC11373282 DOI: 10.1186/s12905-024-03335-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Accepted: 08/26/2024] [Indexed: 09/05/2024] Open
Abstract
BACKGROUND The relationship between A Body Shape Index (ABSI) and female infertility is not well understood. ABSI, a novel anthropometric measure, is gaining recognition for its ability to more accurately capture visceral fat characteristics than traditional metrics like BMI. This study aims to explore the association between ABSI and female infertility, considering its potential applications in medical screening and risk assessment. METHODS This cross-sectional study analyzed data from the NHANES from 2013 to 2020. Female infertility was assessed through reproductive health questionnaires, and ABSI was calculated using waist circumference, BMI, and height. Weighted logistic regression models and trend tests were used to evaluate the association between ABSI and female infertility. Restricted cubic splines (RCS) were employed to explore potential nonlinear relationships. Subgroup analyses were conducted to examine the consistency of the association across various demographic and health-related factors. Sensitivity analyses were also performed, including the exclusion of participants with missing covariate data, the application of propensity score matching, and restricting the analysis to women aged 20-45 years. RESULTS The study included 3,718 participants, 433 of whom were diagnosed with infertility. Higher ABSI was associated with an increased risk of female infertility (OR = 1.56, 95% CI: 1.21-2.00, P = 0.001), as demonstrated by weighted logistic regression and trend tests. Women in the highest ABSI quartile had a significantly higher prevalence of infertility compared to those in the lowest quartile (OR = 1.73, 95% CI: 1.27-2.37, P = 0.001). RCS curves indicated a linear positive relationship between ABSI and infertility risk, with a critical value at 0.079. Subgroup and sensitivity analyses confirmed the stability of these findings. CONCLUSION This study demonstrates a positive linear relationship between ABSI and the risk of female infertility. The use of a simple, non-invasive ABSI measurement could facilitate the early identification of high-risk individuals in large-scale screenings, potentially helping to prevent or reduce the incidence of infertility.
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Affiliation(s)
- Qian Yang
- Department of Gynecology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, 528308, PR China
| | - Jianxiong Wuliu
- Department of Gynecology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, 528308, PR China
| | - Lingling Zeng
- Department of Gynecology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, 528308, PR China
| | - Jinfa Huang
- Department of Gynecology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, 528308, PR China
| | - Guihua Tang
- Department of Gynecology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, 528308, PR China
| | - Junchao Zhang
- Department of Gynecology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, 528308, PR China
| | - Kedan Liao
- Department of Gynecology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, 528308, PR China.
| | - Kaixian Deng
- Department of Gynecology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, 528308, PR China.
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Li B, Wang J, Zhou X, Wang W, Gao Z, Tang X, Yan L, Wan Q, Luo Z, Qin G, Chen L, Ning G, Mu Y. Lipid accumulation product is closely associated with hypertension and prehypertension in prediabetic population in China: results from the REACTION study. Hypertens Res 2023; 46:708-719. [PMID: 36513744 DOI: 10.1038/s41440-022-01113-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 3.7] [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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7
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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: 5] [Impact Index Per Article: 1.7] [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: 0.8] [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: 1.4] [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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