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Yang H, Kuang M, Qiu J, He S, Yu C, Sheng G, Zou Y. Relative importance of triglyceride glucose index combined with body mass index in predicting recovery from prediabetic state to normal fasting glucose: a cohort analysis based on a Chinese physical examination population. Lipids Health Dis 2024; 23:71. [PMID: 38459527 PMCID: PMC10921811 DOI: 10.1186/s12944-024-02060-w] [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: 01/17/2024] [Accepted: 02/27/2024] [Indexed: 03/10/2024] Open
Abstract
BACKGROUND Prediabetes is a high-risk state for diabetes, and numerous studies have shown that the body mass index (BMI) and triglyceride-glucose (TyG) index play significant roles in risk prediction for blood glucose metabolism. This study aims to evaluate the relative importance of BMI combination with TyG index (TyG-BMI) in predicting the recovery from prediabetic status to normal blood glucose levels. METHODS A total of 25,397 prediabetic subjects recruited from 32 regions across China. Normal fasting glucose (NFG), prediabetes, and diabetes were defined referring to the American Diabetes Association (ADA) criteria. After normalizing the independent variables, the impact of TyG-BMI on the recovery or progression of prediabetes was analyzed through the Cox regression models. Receiver Operating Characteristic (ROC) curve analysis was utilized to visualize and compare the predictive value of TyG-BMI and its constituent components in prediabetes recovery/progression. RESULTS During the average observation period of 2.96 years, 10,305 individuals (40.58%) remained in the prediabetic state, 11,278 individuals (44.41%) recovered to NFG, and 3,814 individuals (15.02%) progressed to diabetes. The results of multivariate Cox regression analysis demonstrated that TyG-BMI was negatively associated with recovery from prediabetes to NFG and positively associated with progression from prediabetes to diabetes. Further ROC analysis revealed that TyG-BMI had higher impact and predictive value in predicting prediabetes recovering to NFG or progressing to diabetes in comparison to the TyG index and BMI. Specifically, the TyG-BMI threshold for predicting prediabetes recovery was 214.68, while the threshold for predicting prediabetes progression was 220.27. Additionally, there were significant differences in the relationship of TyG-BMI with prediabetes recovering to NFG or progressing to diabetes within age subgroups. In summary, TyG-BMI is more suitable for assessing prediabetes recovery or progression in younger populations (< 45 years old). CONCLUSIONS This study, for the first time, has revealed the significant impact and predictive value of the TyG index in combination with BMI on the recovery from prediabetic status to normal blood glucose levels. From the perspective of prediabetes intervention, maintaining TyG-BMI within the threshold of 214.68 holds crucial significance.
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Affiliation(s)
- Hongyi Yang
- Department of Ultrasound, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
| | - Maobin Kuang
- Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China
- Jiangxi Provincial Geriatric Hospital, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China
| | - Jiajun Qiu
- Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China
- Jiangxi Provincial Geriatric Hospital, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China
| | - Shiming He
- Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China
- Jiangxi Provincial Geriatric Hospital, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China
| | - Changhui Yu
- Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China
- Jiangxi Provincial Geriatric Hospital, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China
| | - Guotai Sheng
- Jiangxi Provincial Geriatric Hospital, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China.
| | - Yang Zou
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China.
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Yang H, Kuang M, Yang R, Xie G, Sheng G, Zou Y. Evaluation of the role of atherogenic index of plasma in the reversion from Prediabetes to normoglycemia or progression to Diabetes: a multi-center retrospective cohort study. Cardiovasc Diabetol 2024; 23:17. [PMID: 38184569 PMCID: PMC10771677 DOI: 10.1186/s12933-023-02108-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 12/28/2023] [Indexed: 01/08/2024] Open
Abstract
BACKGROUND Atherosclerosis is closely linked with glucose metabolism. We aimed to investigate the role of the atherogenic index of plasma (AIP) in the reversal of prediabetes to normal blood glucose levels or its progression to diabetes. METHODS This multi-center retrospective cohort study included 15,421 prediabetic participants from 32 regions across 11 cities in China, under the aegis of the Rich Healthcare Group's affiliated medical examination institutions. Throughout the follow-up period, we monitored changes in the glycemic status of these participants, including reversal to normal fasting glucose (NFG), persistence in the prediabetic state, or progression to diabetes. Segmented regression, stratified analysis, and restricted cubic spline (RCS) were performed based on the multivariable Cox regression model to evaluate the association between AIP and the reversal of prediabetes to NFG or progression to diabetes. RESULTS During a median follow-up period of 2.9 years, we recorded 6,481 individuals (42.03%) reverting from prediabetes to NFG, and 2,424 individuals (15.72%) progressing to diabetes. After adjusting for confounders, AIP showed a positive correlation with the progression from prediabetes to diabetes [(Hazard ratio (HR) 1.42, 95% confidence interval (CI):1.24-1.64)] and a negative correlation with the reversion from prediabetes to NFG (HR 0.89, 95%CI:0.81-0.98); further RCS demonstrated a nonlinear relationship between AIP and the reversion from prediabetes to NFG/progression to diabetes, identifying a turning point of 0.04 for reversion to NFG and 0.17 for progression to diabetes. In addition, we observed significant differences in the association between AIP and reversion from prediabetes to NFG/progression to diabetes across age subgroups, specifically indicating that the risk associated with AIP for progression from prediabetes to diabetes was relatively higher in younger populations; likewise, a younger age within the adult group favored the reversion from prediabetes to NFG in relation to AIP. CONCLUSION Our study, for the first time, reveals a negative correlation between AIP and the reversion from prediabetes to normoglycemia and validates the crucial role of AIP in the risk assessment of prediabetes progression. Based on threshold analysis, therapeutically, keeping the AIP below 0.04 was of paramount importance for individuals with prediabetes aiming for reversion to NFG; preventatively, maintaining AIP below 0.17 was vital to reduce the risk of diabetes onset for those with prediabetes.
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Affiliation(s)
- Hongyi Yang
- Department of Ultrasound, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, 330006, P.R. China
| | - Maobin Kuang
- Department of Internal Medicine, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, 330006, P.R. China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, 330006, P.R. China
| | - Ruijuan Yang
- Department of Internal Medicine, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, 330006, P.R. China
- Department of Endocrinology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, 330006, P.R. China
| | - Guobo Xie
- Jiangxi Provincial Geriatric Hospital, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, 330006, P.R. China
| | - Guotai Sheng
- Jiangxi Provincial Geriatric Hospital, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, 330006, P.R. China
| | - Yang Zou
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, 330006, P.R. China.
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Mo Z, Han Y, Cao C, Huang Q, Hu Y, Yu Z, Hu H. Association between non-high-density lipoprotein to high-density lipoprotein ratio and reversion to normoglycemia in people with impaired fasting glucose: a 5-year retrospective cohort study. Diabetol Metab Syndr 2023; 15:259. [PMID: 38105214 PMCID: PMC10726583 DOI: 10.1186/s13098-023-01237-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 11/29/2023] [Indexed: 12/19/2023] Open
Abstract
OBJECTIVE The relationship between the non-high-density lipoprotein to high-density lipoprotein ratio (non-HDL-c/HDL-c ratio) and changes in glycemic status as well as the development of type 2 diabetes mellitus (T2DM) has been well established. However, there is a lack of evidence concerning the association between the non-HDL-c/HDL-c ratio and the reversal of normoglycemia in individuals with impaired fasting glucose (IFG). Therefore, this study aimed to examine the connection between the non-HDL-c/HDL-c ratio and the likelihood of reverting to normoglycemia among people with IFG. METHODS This retrospective cohort study examined data collected from 15,524 non-selective participants with IFG at the Rich Healthcare Group in China between January 2010 and 2016. The Cox proportional-hazards regression model was used to investigate the connection between the baseline non-HDL-c/HDL-c ratio and the probability of reverting to normoglycemia. We were able to discover the non-linear association between the non-HDL-c/HDL-c ratio and reversion to normoglycemia using a Cox proportional hazards regression model with cubical spline smoothing. We also performed several sensitivity and subgroup analyses. A competing risk multivariate Cox regression was utilized as well to examine the development to diabetes as a competing risk for the reversal of normoglycemic events. RESULTS In our study, a total of 15,524 individuals participated, with a mean age of 50.9 ± 13.5 years, and 64.7% were male. The average baseline non-HDL-c/HDL-c ratio was 2.9 ± 0.9. Over a median follow-up period of 2.9 years, we observed a reversion rate to normoglycemia of 41.8%. After adjusting for covariates, our findings revealed a negative association between the non-HDL-c/HDL-c ratio and the likelihood of reverting to normoglycemia (HR = 0.71, 95% CI 0.69-0.74). Notably, we identified a non-linear relationship between the non-HDL-c/HDL-c ratio and the probability of transitioning from IFG to normoglycemia. We found an inflection point at a non-HDL-c/HDL-c ratio of 3.1, with HRs of 0.63 (95% CI 0.69, 0.74) on the left side and 0.78 (95% CI 0.74, 0.83) on the right side of the point. Competing risks multivariate Cox's regression, sensitivity analysis, and subgroup analysis consistently supported our robust results. CONCLUSION Our study has revealed a negative and non-linear relationship between the non-HDL-c/HDL-c ratio and reversion to normoglycemia in Chinese people with IFG. Specifically, when the non-HDL-c/HDL-c ratio was below 3.1, a significant and negative association with reversion to normoglycemia was observed. Furthermore, keeping the non-HDL-c/HDL-c ratio below 3.1 significantly elevated the probability of returning to normoglycemia.
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Affiliation(s)
- Zihe Mo
- Department of Physical Examination, Dongguan Tungwah Hospital, No. 1 Dongcheng Road, Dongcheng Street, Dongguan, 523000, Guangdong, China
| | - Yong Han
- Department of Emergency, Shenzhen Second People's Hospital, Shenzhen, 518000, Guangdong, China
- Department of Emergency, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518000, Guangdong, China
| | - Changchun Cao
- Department of Rehabilitation, Shenzhen Dapeng New District Nan'ao People's Hospital, Shenzhen, 518000, Guangdong, China
| | - Qingli Huang
- Department of Physical Examination, Dongguan Tungwah Hospital, No. 1 Dongcheng Road, Dongcheng Street, Dongguan, 523000, Guangdong, China
| | - Yanhua Hu
- College of Information Science and Engineering, Liuzhou Institute of Technology, No. 99, Xinliu Avenue, Yufeng District, Liuzhou, 545616, Guangxi Zhuang Autonomous Region, China.
| | - Zhiqun Yu
- Department of Physical Examination, Dongguan Tungwah Hospital, No. 1 Dongcheng Road, Dongcheng Street, Dongguan, 523000, Guangdong, China.
| | - Haofei Hu
- Department of Nephrology, Shenzhen Second People's Hospital, No.3002 Sungang Road, Futian District, Shenzhen, 518000, Guangdong, China.
- Department of Nephrology, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518000, Guangdong, China.
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Qiu S, Zhu Y, Xie B, Chen W, Wang D, Cai X, Sun Z, Wu T. Prediabetes Progression and Regression on Objectively- Measured Physical Function: A Prospective Cohort Study. Diabetes Metab J 2023; 47:859-868. [PMID: 37915187 PMCID: PMC10695714 DOI: 10.4093/dmj.2022.0377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 01/29/2023] [Indexed: 11/03/2023] Open
Abstract
BACKGRUOUND Prediabetes leads to declines in physical function in older adults, but the impact of prediabetes progression or regression on physical function is unknown. This study assessed this longitudinal association, with physical function objectivelymeasured by grip strength, walking speed, and standing balance, based on the Health and Retirement Study enrolling United States adults aged >50 years. METHODS Participants with prediabetes were followed-up for 4-year to ascertain prediabetes status alteration (maintained, regressed, or progressed), and another 4-year to assess their impacts on physical function. Weak grip strength was defined as <26 kg for men and <16 kg for women, slow walking speed was as <0.8 m/sec, and poor standing balance was as an uncompleted fulltandem standing testing. Logistic and linear regression analyses were performed. RESULTS Of the included 1,511 participants with prediabetes, 700 maintained as prediabetes, 306 progressed to diabetes, and 505 regressed to normoglycemia over 4 years. Grip strength and walking speed were declined from baseline during the 4-year followup, regardless of prediabetes status alteration. Compared with prediabetes maintenance, prediabetes progression increased the odds of developing weak grip strength by 89% (95% confidence interval [CI], 0.04 to 2.44) and exhibited larger declines in grip strength by 0.85 kg (95% CI, -1.65 to -0.04). However, prediabetes progression was not related to impairments in walking speed or standing balance. Prediabetes regression also did not affect any measures of physical function. CONCLUSION Prediabetes progression accelerates grip strength decline in aging population, while prediabetes regression may not prevent physical function decline due to aging.
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Affiliation(s)
- Shanhu Qiu
- Department of General Practice, Institute of Diabetes, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
- Research and Education Centre of General Practice, Zhongda Hospital, Southeast University, Nanjing, China
| | - Yiming Zhu
- Department of Endocrinology, Institute of Diabetes, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Bo Xie
- Department of General Practice, Institute of Diabetes, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
- Research and Education Centre of General Practice, Zhongda Hospital, Southeast University, Nanjing, China
| | - Wenji Chen
- Department of General Practice, Institute of Diabetes, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
- Research and Education Centre of General Practice, Zhongda Hospital, Southeast University, Nanjing, China
| | - Duolao Wang
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Xue Cai
- Department of Nursing Management, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Zilin Sun
- Department of Endocrinology, Institute of Diabetes, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Tongzhi Wu
- Adelaide Medical School and Centre of Research Excellence (CRE) in Translating Nutritional Science to Good Health, The University of Adelaide, Adelaide, Australia
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Hsia DS, Nelson J, Vickery EM, Rasouli N, LeBlanc ES, Kim S, Brodsky I, Pratley R, Dawson-Hughes B, Pittas AG. Effect of vitamin D on regression to normal glucose regulation and individual glycemic measures: A secondary analysis among participants adherent to the trial protocol in the randomized clinical trial vitamin D and type 2 diabetes (D2d) study. Diabetes Res Clin Pract 2023; 202:110792. [PMID: 37343726 PMCID: PMC10491428 DOI: 10.1016/j.diabres.2023.110792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 05/31/2023] [Accepted: 06/14/2023] [Indexed: 06/23/2023]
Abstract
AIMS To examine the effect of vitamin D on regression to normal glucose regulation (NGR) and individual glycemic measures in the D2d study. METHODS In per-protocol analyses, we examined time to new-onset diabetes; time to new-onset NGR defined as first occurrence of: 2-or-3 glycemic criteria in the normal range (NGR-1) or fasting plasma glucose (FPG) and 2-hour post-load-glucose (2hPG) in the normal range (NGR-2); proportion meeting NGR at the last study visit; and change in FPG, 2hPG, and HbA1c. RESULTS Among 2423 participants, hazard ratio [HR] for diabetes was 0.84 [95%CI, 0.71, 0.99]). HR (95%CI) was 1.16 (0.99, 1.36) for new-onset NGR-1 and 1.06 (0.87, 1.30) for NGR-2. At the last visit, NGR-1 occurred in 12.4% vs. 9.5% participants in the vitamin D vs. placebo group (rate ratio for vitamin D 1.31 [1.02, 1.70]); whereas, NGR-2 occurred in 8.7% vs. 6.0% (rate ratio for vitamin D 1.45 [1.05, 2.00]). During follow-up, FPG, HbA1c, and 2hPG increased in both groups. Mean difference in FPG favored vitamin D (-0.80 mg/dL; 95%CI, -1.26, -0.33). CONCLUSIONS In secondary analyses among participants adherent to the trial protocol, vitamin D lowered risk of developing diabetes and increased likelihood of NGR at the end of the study.
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Affiliation(s)
- Daniel S Hsia
- Pennington Biomedical Research Center, Baton Rouge, LA, USA.
| | - Jason Nelson
- Tufts CTSI, BERD Center, Tufts Medical Center, Boston, MA, USA
| | - Ellen M Vickery
- Division of Endocrinology, Diabetes and Metabolism, Tufts Medical Center, Boston, MA, USA
| | - Neda Rasouli
- University of Colorado, School of Medicine and VA Eastern Colorado Health Care System, Aurora, CO, USA
| | - Erin S LeBlanc
- Center for Health Research, Kaiser Permanente NW, Portland, OR, USA
| | - Sun Kim
- Division of Endocrinology, Gerontology and Metabolism, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Irwin Brodsky
- Endocrinology and Diabetes Center, Maine Medical Center and Maine Medical Center Research Institute, Scarborough, ME, USA
| | - Richard Pratley
- AdventHealth Translational Research Institute for Metabolism and Diabetes, Orlando, FL, USA
| | - Bess Dawson-Hughes
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Anastassios G Pittas
- Division of Endocrinology, Diabetes and Metabolism, Tufts Medical Center, Boston, MA, USA
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Yang H, Zhang M, Nie J, Zhang M, Lu G, Chen R, He Q. Associations of obesity-related indices with prediabetes regression to normoglycemia among Chinese middle-aged and older adults: a prospective study. Front Nutr 2023; 10:1075225. [PMID: 37275653 PMCID: PMC10235473 DOI: 10.3389/fnut.2023.1075225] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 04/26/2023] [Indexed: 06/07/2023] Open
Abstract
Background Prediabetes is associated with increased cardiovascular risk and all-cause mortality, while its regression will decrease the risks. This study investigated the associations of six obesity-related indices (waist-to-height ratio (WHtR), body roundness index (BRI), conicity index (CI), body shape index (ABSI), Chinese visceral adiposity index (CVAI), and triglyceride glucose (TyG) index) with prediabetes regression based on the China Health and Retirement Longitudinal Study (CHARLS), enrolling middle-aged and older adults. Methods We included 2,601 participants with prediabetes from CHARLS, who were followed up from 2011-2012 to 2015-2016, with blood samples collected for measuring fasting plasma glucose and hemoglobin A1c. All the obesity-related indices at baseline and their dynamic changes were calculated and categorized into tertiles. Logistic regression analysis was applied to obtain the odds ratio (OR) and 95% confidence intervals (CIs). Attributable fractions (AFs) and 95% CIs of these indices and the dynamic changes were calculated with the AF package in R software, and the cutoff values of initial obesity-related indices were obtained by the receiver operating characteristic (ROC) analysis. Results During the 4-year follow-up period, 562 (21.61%) participants regressed from prediabetes to normoglycemia. They had lower initial BRI, WHtR, CI, ABSI, CVAI, and TyG than those who did not (P < 0.05). After multivariable adjustment, participants in the first tertile of initial BRI (OR, 1.45, 95%CIs, 1.09-1.93), WHtR (OR, 1.46, 95%CIs, 1.10-1.95), and CVAI (OR, 1.47, 95%CIs, 1.11-1.93) had increased odds of prediabetes regression compared with those in the highest tertile. Participants with decreased TyG (OR, 2.08; 95%CIs, 1.61-2.70) also had increased odds of prediabetes regression compared with those with increased TyG. The cutoff values of initial obesity-related indices were 4.374 for BRI, 0.568 for WHtR, 8.621 for TyG, 1.320 for CI, 0.083 for ABSI, and 106.152 for CVAI, respectively. The AFs were 21.10% for BRI < 4.374, 20.85% for WHtR < 0.568, 17.48% for CVAI < 107.794, and 17.55% for ΔTyG < 0, respectively. Conclusion Low initial BRI, WHtR, and CVAI, as well as TyG reduction, were significantly related to prediabetes regression to normoglycemia, and the AFs were around 20%. Less abdominal fat and insulin resistance reduction would benefit future health outcomes among people with prediabetes.
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Affiliation(s)
| | - Minjie Zhang
- School of Public Health, Wuhan University, Wuhan, China
| | - Jiaqi Nie
- School of Public Health, Wuhan University, Wuhan, China
| | - Minzhe Zhang
- School of Public Health, Wuhan University, Wuhan, China
| | - Gaolei Lu
- School of Public Health, Wuhan University, Wuhan, China
| | - Rui Chen
- School of Public Health, Wuhan University, Wuhan, China
| | - Qiqiang He
- School of Public Health, Wuhan University, Wuhan, China
- Hubei Biomass-Resource Chemistry and Environmental Biotechnology Key Laboratory, Wuhan University, Wuhan, China
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Luo X, Wang Z, Li B, Zhang X, Li X. Effect of resistance vs. aerobic exercise in pre-diabetes: an RCT. Trials 2023; 24:110. [PMID: 36788568 PMCID: PMC9930288 DOI: 10.1186/s13063-023-07116-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 01/28/2023] [Indexed: 02/16/2023] Open
Abstract
BACKGROUND This study aimed to assess the different impacts of aerobic and resistance exercise intervention on pre-diabetes and its possible influencing factor (obesity) to identify which exercise intervention mode was better for pre-diabetes to control their blood glucose levels. METHODS Single-blind randomized controlled trial. Participants were recruited from Southwest Hospital between February 2016 and May 2017 and randomly divided into three groups using stratified randomization: aerobic exercise (A), resistance exercise (R), and control (C). The effects of each group were analyzed, and the relationship with obesity was investigated following a 12-week intervention. RESULTS Eighty participants were enrolled (9 were lost, and 1 was excluded). Finally, 26 participants were included in group A, 23 in group R, and 21 in group C. In groups A and R, FPG, OGTT 2-h PG, and HOMA2-IR decreased by 6.17% (P = 0.001) and 4.81% (P = 0.019), 20.39% (P < 0.001) and 16.50% (P < 0.001), and 8.34% (P = 0.026) and 18.31% (P = 0.001, superior to that in group A), respectively (all P < 0.001 compared with group C, with no significant differences between groups A and R). The ratio of reversal to euglycemia was 69.2% (P = 0.003 compared with group C) in group A and 43.5% (P = 0.213 compared with group C) in group R. The decreased ratio of GSP in group R was greater (65.2%, P = 0.008 compared with group C) compared with group A (38.5%, P = 0.355 compared with group C). Decreases in the parameters BMI (3.1 ± 3.2% P < 0.001, moderately positive correlation with the decreased FPG level, r = 0.498, P = 0.010, two-tailed) and waist circumference (3.1 ± 2.7% P < 0.001) were noted in group A, but no significant correlations were noted between other indicators in group R. CONCLUSIONS Both resistance and aerobic exercise can control and reverse IGR. Compared with aerobic exercise, resistance exercise may be superior in terms of GSP and IR improvement. Aerobic exercise decreases blood glucose levels through weight loss. However, the effect of resistance exercise might not be mediated via weight loss and obesity control. TRIAL REGISTRATION Chinese Clinical Trial Registry ChiCTR2000038304. Registered on September 17, 2020.
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Affiliation(s)
- Xijuan Luo
- grid.12981.330000 0001 2360 039XDepartment of Sports, Sun Yat-sen University, Guangzhou, 510275 China
| | | | - Bowen Li
- grid.443516.10000 0004 1804 2444School of Sports and Health, Nanjing Sport Institute, Nanjing, 210014 China
| | - Xianbo Zhang
- grid.506261.60000 0001 0706 7839Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730 China
| | - Xin Li
- grid.443344.00000 0001 0492 8867Center of Academic Journals, Chengdu Sport University, Chengdu, 610041 China
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Qiu S, Cai X, Yuan Y, Xie B, Sun Z, Wang D, Wu T. Muscle strength and prediabetes progression and regression in middle-aged and older adults: a prospective cohort study. J Cachexia Sarcopenia Muscle 2022; 13:909-918. [PMID: 35068089 PMCID: PMC8978008 DOI: 10.1002/jcsm.12905] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 11/22/2021] [Accepted: 11/29/2021] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Prediabetes progression is associated with increased mortality while its regression decreases it. It is unclear whether muscle strength is related to prediabetes progression or regression. This study investigated the associations of muscle strength, assessed by grip strength and chair-rising time, with prediabetes progression and regression based on the China Health and Retirement Longitudinal Study (CHARLS) enrolling middle-aged and older adults. METHODS We included 2623 participants with prediabetes from CHARLS, who were followed up 4 years later with blood samples collected for measuring fasting plasma glucose and haemoglobin A1c. Grip strength (normalized by body weight) and chair-rising time were assessed at baseline and categorized into tertiles (low, middle, and high groups). Prediabetes at baseline and follow-up was defined primarily using the American Diabetes Association (ADA) criteria and secondarily using the World Health Organization (WHO) and International Expert Committee (IEC) criteria. Multinomial logistic regression analysis was applied to obtain the odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS The mean age of included participants was 59.0 ± 8.6 years, and 46.6% of them were males. During follow-up, 1646 participants remained as prediabetes, 379 progressed to diabetes, and 598 regressed to normoglycaemia based on ADA criteria. Participants who progressed to diabetes had lower normalized grip strength than those who remained as prediabetes (0.49 ± 0.15 vs. 0.53 ± 0.15, P < 0.001), but participants who regressed to normoglycaemia showed the opposite (0.55 ± 0.16 vs. 0.53 ± 0.15, P = 0.003). However, chair-rising time was comparable across different groups (Poverall = 0.17). Compared with participants in low normalized grip strength or high chair-rising time group, those in high normalized grip strength or low chair-rising time group had decreased odds of progression to diabetes (OR 0.62, 95% CI 0.44 to 0.87; and OR 0.69, 95% CI 0.51 to 0.93, respectively) after multivariable adjustment. However, both were unrelated to the odds of regression to normoglycaemia (OR 0.94, 95% CI 0.71 to 1.25; and OR 0.84, 95% CI 0.65 to 1.07, respectively). These outcomes remained generally comparable when prediabetes was defined by WHO or IEC criteria. Higher normalized grip strength but not lower chair-rising time was prospectively associated with lower blood pressure, better glycaemic condition, and lower inflammation (all P ≤ 0.04). CONCLUSIONS High muscle strength is associated with reduced odds of progression to diabetes but does not predict regression to normoglycaemia in prediabetes. Future studies are warranted to assess whether increases in muscle strength promote prediabetes regression.
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Affiliation(s)
- Shanhu Qiu
- Department of General Practice, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.,Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China.,Department of Endocrinology, Shenzhen People's Hospital (The Second Clinical Medical College of Jinan University), Shenzhen, China
| | - Xue Cai
- Department of Nursing Management, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Yang Yuan
- Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China.,Department of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Bo Xie
- Department of General Practice, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.,Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China
| | - Zilin Sun
- Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China.,Department of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Duolao Wang
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Tongzhi Wu
- Adelaide Medical School and Centre of Research Excellence (CRE) in Translating Nutritional Science to Good Health, The University of Adelaide, Adelaide, SA, Australia
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9
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Maudrie TL, Colón-Ramos U, Harper KM, Jock BW, Gittelsohn J. A Scoping Review of the Use of Indigenous Food Sovereignty Principles for Intervention and Future Directions. Curr Dev Nutr 2021; 5:nzab093. [PMID: 34345758 PMCID: PMC8321882 DOI: 10.1093/cdn/nzab093] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 05/11/2021] [Accepted: 06/28/2021] [Indexed: 12/19/2022] Open
Abstract
Indigenous food sovereignty (IFS) represents a community-led movement with potential to reduce health inequities, but no scoping review of the impact of taking an IFS approach on intervention research has been conducted. This review sought to: 1) describe intervention studies that employ IFS principles, and 2) describe the impact of studies using IFS principles on food access, eating patterns, diet quality, physical activity, and health. Through a literature review, 4 IFS principles were identified: 1) community ownership, 2) inclusion of traditional food knowledge, 3) inclusion and promotion of cultural foods, and 4) environmental/intervention sustainability. Twenty intervention studies published between January 1, 2000 and February 5, 2020 were included. Most of the studies that scored high in IFS principles saw a positive impact on diet. This review found evidence supporting the value of IFS principles in the development, implementation, and evaluation of health interventions for Indigenous communities.
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Affiliation(s)
- Tara L Maudrie
- Department of International Health, Center for Human Nutrition, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Uriyoán Colón-Ramos
- Department of Global Health, Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health at The George Washington University, Washington, DC, USA
| | - Kaitlyn M Harper
- Department of International Health, Center for Human Nutrition, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Brittany W Jock
- School of Human Nutrition, Centre for Indigenous Peoples’ Nutrition and Environment (CINE), McGill University, Montreal, Quebec, Canada
| | - Joel Gittelsohn
- Department of International Health, Center for Human Nutrition, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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10
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Fulleborn ST, Crawford PF, Jackson JT, Ledford CJW. How Family Physicians Practice the Principle of Remission Along the Glycemic Continuum. J Prim Care Community Health 2021; 11:2150132720977744. [PMID: 33356765 PMCID: PMC7768828 DOI: 10.1177/2150132720977744] [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] [Indexed: 11/17/2022] Open
Abstract
Introduction Recent evidence reveals that diabetes and prediabetes (preDM) can be reversed to normal glucose regulation (NGR) through significant weight loss, but how physicians clinically identify the principles of partial and complete remission of diabetes is largely unknown. Methods As part of the cross-sectional omnibus survey conducted in March 2019 at a professional annual meeting in the United States, physician participants answered case scenario questions about the diagnosis and documentation of patients with preDM and type 2 diabetes (T2DM). Results Of the registered conference attendees, 387 (72.7%) responded. When presented with the initial case of preDM, 201 physicians (70.8%) selected R73.03 Prediabetes. In a follow-up encounter with improved lab results, 118 physicians (58.7%) indicated that they would not chart any diabetes-related code and 62 (30.8%) would chart preDM again. When presented with the case of T2DM, 256 physicians (90.1%) indicated E11.0–E11.9 Type 2 Diabetes. In the follow-up encounter, only 38 (14.8%) coded a diagnosis reflecting remission from T2DM to prediabetes and 211 (82.4%) charted T2DM. Conclusion Physicians may be reluctant to document diabetes regression as there is little evidence for long-term outcomes and “downgrading” the diagnosis in the medical record may cause screenings to be missed. Documenting this regression in the medical record should communicate the accurate point on the continuum of glucose intolerance with both the patient and the care team.
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Affiliation(s)
| | - Paul F Crawford
- Nellis Family Medicine Residency, Nellis Air Force Base, NV.,Uniformed Services University of the Health Sciences, Bethesda, MD, USA.,Military Primary Care Research Network, Bethesda, MD, USA
| | - Jeremy T Jackson
- Uniformed Services University of the Health Sciences, Bethesda, MD, USA.,Henry M. Jackson Foundation, Bethesda, MD, USA
| | - Christy J W Ledford
- Uniformed Services University of the Health Sciences, Bethesda, MD, USA.,Henry M. Jackson Foundation, Bethesda, MD, USA
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11
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Ledford CJW, Fulleborn ST, Jackson JT, Rogers T, Samar H. Dissonance in the discourse of the duration of diabetes: A mixed methods study of patient perceptions and clinical practice. Health Expect 2021; 24:1187-1196. [PMID: 33949058 PMCID: PMC8369085 DOI: 10.1111/hex.13245] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 02/02/2021] [Accepted: 03/14/2021] [Indexed: 12/16/2022] Open
Abstract
Background Remission of diabetes can be rewarding for patients and physicians, but there is limited study of how patients perceive the timeline of a disease along the continuum of glycaemic control. Objective To explore how patients perceive the timeline of diabetes along the continuum of glycaemic control and their goals of care and to identify whether family physicians communicate the principles of regression and remission of diabetes. Design Mixed methods approach of qualitative semi‐structured interviews with purposive sampling followed by cross‐sectional survey of physicians. Participants Thirty‐three patients living with prediabetes (preDM) or type 2 diabetes mellitus (T2DM) at medical centres in Georgia and Nevada; and 387 family physicians providing primary care within the same health system. Results Patients described two timelines of diabetes: as a lifelong condition or as a condition that can be cured. Patients who perceived a lifelong condition described five treatment goals: reducing glucose‐related laboratory values, losing weight, reducing medication, preventing treatment intensification and avoiding complications. For patients who perceived diabetes as a disease with an end, the goal of care was to achieve normoglycaemia. In response to patient vignettes that described potential cases of remission and regression, 38.2% of physician respondents would still communicate that a patient has preDM and 94.6% would tell the patient that he still had diabetes. Conclusions Most physicians here exhibited reluctance to communicate remission or regression in patient care. Yet, patients describe two different potential timelines, including a subset who expect their diabetes can be ‘cured’. Physicians should incorporate shared decision making to create a shared mental model of diabetes and its potential outcomes with patients. Patient or Public Contribution In this mixed methods study, as patients participated in the qualitative phase of this study, we asked patients to tell us what additional questions we should ask in subsequent interviews. Data from this qualitative phase informed the design and interpretation of the quantitative phase with physician participants.
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Affiliation(s)
- Christy J W Ledford
- Department of Family Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | | | - Jeremy T Jackson
- Military Primary Care Research Network, Department of Family Medicine, Henry M. Jackson Foundation, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Tyler Rogers
- Department of Family Medicine, Madigan Army Medical Center, Tacoma, WA, USA
| | - Haroon Samar
- Department of Family Medicine, Madigan Army Medical Center, Tacoma, WA, USA
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12
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Liu X, Wu S, Song Q, Wang X. Reversion From Pre-Diabetes Mellitus to Normoglycemia and Risk of Cardiovascular Disease and All-Cause Mortality in a Chinese Population: A Prospective Cohort Study. J Am Heart Assoc 2021; 10:e019045. [PMID: 33496188 PMCID: PMC7955447 DOI: 10.1161/jaha.120.019045] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Background It is unclear whether reversion from pre–diabetes mellitus to normoglycemia reduces cardiovascular disease (CVD) and all‐cause mortality risk in a Chinese population. We aimed to fill this research gap. Methods and Results The current study included 14 231 Chinese participants (mean age, 58.08 years) who were free from myocardial infarction and stroke at the time of survey participation (2006–2007 and 2008–2009). Participants were divided into 3 categories according to the 2‐year changes in pre–diabetes mellitus, defined by fasting plasma glucose: those with progression to diabetes mellitus, those with reversion from pre–diabetes mellitus to normoglycemia, and those with persistent pre–diabetes mellitus. Cox proportional hazards models were used to calculate hazard ratios (HRs) and their 95% CIs for CVD and all‐cause mortality. After a median follow‐up period of 8.75 years, a total of 879 CVD events (including 180 myocardial infarction events and 713 stroke events) and 941 all‐cause mortality events were recorded. After adjustment for confounding factors, reversion from pre–diabetes mellitus to normoglycemia was associated with decreased risks of CVD (HR, 0.78; 95% CI, 0.64–0.96), myocardial infarction (HR, 0.62; 95% CI, 0.40–0.97), stroke (HR, 0.79; 95% CI, 0.63–0.98), and all‐cause mortality (HR, 0.82; 95% CI, 0.68–0.99) compared with progression to diabetes mellitus. Conclusions Reversion from fasting plasma glucose–defined pre–diabetes mellitus to normoglycemia was associated with a reduction in the future risk of CVD and all‐cause mortality in a Chinese population. Registration URL: https://www.chictr.org; Unique identifier: ChiCTRTNC‐11001489.
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Affiliation(s)
- Xiaoxue Liu
- Department of Cardiology Tangshan People's Hospital North China University of Science and Technology Tangshan China
| | - Shouling Wu
- Department of Cardiology Kailuan Hospital North China University of Science and Technology Tangshan China
| | - Qiaofeng Song
- Department of Cardiology Tangshan People's Hospital North China University of Science and Technology Tangshan China
| | - Xizhu Wang
- Department of Cardiology Tangshan People's Hospital North China University of Science and Technology Tangshan China
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13
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Burrows NR, Zhang Y, Hora I, Pavkov ME, Sheff K, Imperatore G, Bullock AK, Albright AL. Sustained Lower Incidence of Diabetes-Related End-Stage Kidney Disease Among American Indians and Alaska Natives, Blacks, and Hispanics in the U.S., 2000-2016. Diabetes Care 2020; 43:2090-2097. [PMID: 32616609 PMCID: PMC8628545 DOI: 10.2337/dc20-0495] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 05/23/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Diabetes-related end-stage kidney disease (ESKD-D) disproportionately affects U.S. racial/ethnic minority populations compared with whites. However, from 1996 to 2013, ESKD-D incidence among American Indians and Alaska Natives (AIANs) and blacks declined. We assessed recent ESKD-D incidence data to determine whether trends by race/ethnicity have changed since 2013. RESEARCH DESIGN AND METHODS United States Renal Data System data from 2000 to 2016 were used to determine the number of whites, blacks, AIANs, Asians, and Hispanics aged ≥18 years with newly treated ESKD-D (with diabetes listed as primary cause). Using census population estimates as denominators, annual ESKD-D incidence rates were calculated and age adjusted to the 2000 U.S. standard population. Joinpoint regression was used to analyze trends and estimate an average annual percent change (AAPC) in incidence rates. RESULTS For adults overall, from 2000 to 2016, age-adjusted ESKD-D incidence rates decreased by 53% for AIANs (66.7-31.2 per 100,000, AAPC -4.5%, P < 0.001), by 33% for Hispanics (50.0-33.3, -2.1%, P < 0.001), and by 20% for blacks (56.2-44.7, -1.6%, P < 0.001). However, during the study period, age-adjusted ESKD-D incidence rates did not change significantly for Asians and increased by 10% for whites (15.4-17.0, 0.6%, P = 0.01). In 2016, ESKD-D incidence rates in AIANs, Hispanics, and blacks were ∼2.0-2.5 times higher than whites. CONCLUSIONS ESKD-D incidence declined for AIANs, Hispanics, and blacks and increased for whites. Continued efforts might be considered to reverse the trend in whites and sustain and lower ESKD-D incidence in the other populations.
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Affiliation(s)
- Nilka Ríos Burrows
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Yan Zhang
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Israel Hora
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Meda E Pavkov
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Karen Sheff
- Division of Diabetes Treatment and Prevention, Indian Health Service, Rockville, MD
| | - Giuseppina Imperatore
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Ann K Bullock
- Division of Diabetes Treatment and Prevention, Indian Health Service, Rockville, MD
| | - Ann L Albright
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
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14
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Koller KR, Day GE, Hiratsuka VY, Beans JA, Nash SH, Redwood DG, Zhu J, Howard BV, Umans JG. Increase in diabetes among urban Alaska Native people in the Alaska EARTH follow-up study: A call for prediabetes screening, diagnosis, and referral for intervention. Diabetes Res Clin Pract 2020; 167:108357. [PMID: 32745696 PMCID: PMC7530054 DOI: 10.1016/j.diabres.2020.108357] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Revised: 07/12/2020] [Accepted: 07/28/2020] [Indexed: 11/30/2022]
Abstract
AIMS This study estimates incidence of diabetes (DM) and pre-DM relative to DM risk factors among relatively healthy Alaska Native and American Indian (henceforth AN) adults living in urban south central Alaska. METHODS Baseline (2004-2006) and follow-up (2014-2017) surveys, blood samples, and medical chart review data were collected from AN adults living in south central Alaska. We analyzed associations between prevalent risk factors and incident DM and pre-DM using Cox proportional hazards and used multivariable models to identify independent predictors for both DM and pre-DM. RESULTS Among 379 participants with follow-up data, overall DM incidence was 16.5/1,000 PY; overall pre-DM incidence was 77.6/1,000 PY, with marked differences between men and women. Prevalent cardiometabolic risk factors also varied with greater amounts of overweight in men and greater amounts of obesity in women. Controlling for age and sex, obesity, abdominal adiposity, pre-DM, and metabolic syndrome independently increased DM risk. CONCLUSION Health care providers of AN populations must seize the opportunity to screen, refer, and treat individuals with pre-DM and other modifiable DM risk factors prior to DM diagnosis if we are to alter the epidemiologic course of disease progression in this urban AN population.
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Affiliation(s)
- Kathryn R Koller
- Clinical and Research Services, Alaska Native Tribal Health Consortium, Anchorage, AK, United States.
| | - Gretchen E Day
- Clinical and Research Services, Alaska Native Tribal Health Consortium, Anchorage, AK, United States
| | | | - Julie A Beans
- Research Department, Southcentral Foundation, Anchorage, AK, United States
| | - Sarah H Nash
- Alaska Native Epidemiology Center, Alaska Native Tribal Health Consortium, Anchorage, AK, United States
| | - Diana G Redwood
- Alaska Native Epidemiology Center, Alaska Native Tribal Health Consortium, Anchorage, AK, United States
| | - Jianhui Zhu
- Medstar Health Research Institute, Hyattsville, MD, United States
| | - Barbara V Howard
- Medstar Health Research Institute, Hyattsville, MD, United States; Georgetown/Howard Universities, Center for Clinical and Translational Research, Washington, DC, United States
| | - Jason G Umans
- Medstar Health Research Institute, Hyattsville, MD, United States; Georgetown/Howard Universities, Center for Clinical and Translational Research, Washington, DC, United States
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15
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Wang S, Niu J, Zhao Z, Xu M, Lu J, Li M, Wang T, Chen Y, Wang S, Dai M, Zheng R, Zhu Y, Wang W, Ning G, Bi Y, Xu Y. Detection of diabetes and prediabetes using glycosylated hemoglobin in Chinese adults living in Shanghai: A prospective analysis. J Diabetes 2020; 12:573-582. [PMID: 32119184 DOI: 10.1111/1753-0407.13028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 01/27/2020] [Accepted: 02/26/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND This study aimed to evaluate the discriminative abilities of glycosylated hemoglobin (HbA1c) and to examine the optimal HbA1c cutoff values for diabetes and prediabetes in Chinese adults. METHODS Data of a population-based cohort of Chinese adults aged ≥40 years living in Jiading District in Shanghai were used. At baseline, 9389 and 7241 participants were included to identify the optimal HbA1c cutoff values for diabetes and prediabetes, respectively using the 1999 World Health Organization criteria as reference. In addition, the follow-up data on incident diabetes of 4538 participants were used to determine the HbA1c cutoff value for prediabetes using the development of diabetes as reference. The discriminative abilities of HbA1c were evaluated using receiver operating characteristic (ROC) curves, and the optimal cutoff values were determined by Youden's index. RESULTS The areas under the ROC curves were 0.849 for diabetes, 0.614 for prediabetes using baseline data, and 0.648 for prediabetes using follow-up data. An HbA1c cutoff value of 6.0% had the largest Youden's index to diagnose diabetes with a sensitivity of 70.2% and a specificity of 87.4%. An HbA1c cutoff value of 5.6% was indicated for prediabetes using both baseline and follow-up data. However, the sensitivity and specificity were both low (55.4% and 61.1% using an oral glucose tolerance test as reference, 64.6% and 57.1% using incident diabetes as reference). CONCLUSIONS An HbA1c value ≥6.0% could be used to detect diabetes in Chinese adults aged ≥40 years. However, although an HbA1c value of 5.6% to 5.9% was indicated in this study, the overall discrimination of HbA1c for prediabetes was poor.
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Affiliation(s)
- Shanshan Wang
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jingya Niu
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Min Xu
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Mian Li
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Shuangyuan Wang
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Meng Dai
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ruizhi Zheng
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yuanyue Zhu
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Guang Ning
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yu Xu
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
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