The prevalence of diabetes mellitus continues to increase worldwide, and it is a well-established cardiovascular risk factor. Hypertension is also an important cardiovascular risk factor to be controlled and is common among patients with diabetes mellitus. Optimal blood pressure (BP) goals have been the subject of great debate in the management of hypertension among patients with diabetes mellitus. This review provides detailed results from randomized controlled trials and meta-analyses of clinical outcomes according to the target BP in patients with type 2 diabetes mellitus. In addition, the target BP in patients with diabetes mellitus recommended by different guidelines was summarized and presented. A target BP of <140/90 mm Hg is recommended for patients with hypertension and diabetes mellitus, and BP should be controlled to <130/80 mm Hg in patients with diabetes mellitus who have high-risk clinical features. We hope that this review will be helpful to clinicians and patients by promoting the understanding and appropriate application of BP control in the comprehensive management of patients with diabetes mellitus.
Citations
Citations to this article as recorded by
Recent evidence on target blood pressure in patients with hypertension Hack-Lyoung Kim Cardiovascular Prevention and Pharmacotherapy.2024;[Epub] CrossRef
Using Generative AI to Improve the Performance and Interpretability of Rule-Based Diagnosis of Type 2 Diabetes Mellitus Leon Kopitar, Iztok Fister, Gregor Stiglic Information.2024; 15(3): 162. CrossRef
Additive interaction of family medical history of diabetes with hypertension on the diagnosis of diabetes among older adults in India: longitudinal ageing study in India Waquar Ahmed BMC Public Health.2024;[Epub] CrossRef
Risk factors of undiagnosed and uncontrolled hypertension in primary care patients with hypertension: a cross-sectional study Emmanuel Adediran, Robert Owens, Elena Gardner, Andrew Curtin, John Stuligross, Danielle Forbes, Jing Wang, Dominik Ose BMC Primary Care.2024;[Epub] CrossRef
Interplay of Adiponectin With Glycemic and Metabolic Risk Metrics in Patients With Diabetes Ritu Tiwari, Nishtha Singh, Shraddha Singh, Manish Bajpai, Shivam Verma Cureus.2024;[Epub] CrossRef
Metabolic risk factor targets in relation to clinical characteristics and comorbidities among individuals with type 2 diabetes treated in primary care – The countrywide cross‐sectional AUSTRO‐PROFIT study Harald Sourij, Kehkishan Azhar, Faisal Aziz, Harald Kojzar, Caren Sourij, Peter Fasching, Martin Clodi, Bernhard Ludvik, Julia K. Mader, Michael Resl, Gersina Rega‐Kaun, Claudia Ress, Lars Stechemesser, Harald Stingl, Norbert J. Tripolt, Thomas Wascher, S Diabetes, Obesity and Metabolism.2024;[Epub] CrossRef
Clinical and Sociodemographic Profile, Self-Care, Adherence and Motivation for Treatment, and Satisfaction with Social Support in Portuguese Patients with Type 2 Diabetes Virginia M. G. Regufe, Manuel A. Lobão, Natália Cruz-Martins, Carla Luís, Pedro von Hafe, Cristina B. Pinto Journal of Clinical Medicine.2024; 13(21): 6423. CrossRef
Effectiveness of King’s Theory of Goal Attainment in Blood Glucose Management for Newly Diagnosed Patients With Type 2 Diabetes: Randomized Controlled Trial Man Yan, Yingchun Yu, Shuping Li, Peiling Zhang, Jiaxiang Yu Journal of Medical Internet Research.2024; 26: e59142. CrossRef
Natural polysaccharides: The potential biomacromolecules for treating diabetes and its complications via AGEs-RAGE-oxidative stress axis Jie Sun, Na Wei, Chenxi Yu, Chao Li, Wei Li, Xiuyan Sun, Yanqing Zhang, Yaxin Li, Junbo Xie International Immunopharmacology.2024; 143: 113426. CrossRef
Emerging roles of interferon-stimulated gene-15 in age-related telomere attrition, the DNA damage response, and cardiovascular disease María González-Amor, Beatriz Dorado, Vicente Andrés Frontiers in Cell and Developmental Biology.2023;[Epub] CrossRef
Effects of Diabetes and Voluntary Exercise on IgA Concentration and Polymeric Immunoglobulin Receptor Expression in the Submandibular Gland of Rats Jaebum Park, Yuko Yamamoto, Kouki Hidaka, Satoko Wada-Takahashi, Shun-suke Takahashi, Toshiya Morozumi, Nobuhisa Kubota, Makiko Saita, Juri Saruta, Wakako Sakaguchi, Masahiro To, Tomoko Shimizu, Yuko Mikuni-Takagaki, Keiichi Tsukinoki Medicina.2023; 59(4): 789. CrossRef
A diabetes update Zachary Bloomgarden Journal of Diabetes.2023; 15(7): 542. CrossRef
CARDIOPROTECTIVE AND METABOLIC EFFECTS OF ANTIHYPERTENSIVE THERAPY IN PATIENTS WITH SUCH COMORBIDITIES AS ARTERIAL HYPERTENSION, TYPE 2 DIABETES MELLITUS, AND OBESITY I. P. Dunaieva, N. O. Kravchun, І. A. Ilchenko Bulletin of Problems Biology and Medicine.2023; 1(2): 211. CrossRef
Hypertensive Heart Failure Filippos Triposkiadis, Pantelis Sarafidis, Alexandros Briasoulis, Dimitrios E. Magouliotis, Thanos Athanasiou, John Skoularigis, Andrew Xanthopoulos Journal of Clinical Medicine.2023; 12(15): 5090. CrossRef
2023 Clinical Practice Guidelines for Diabetes Min Kyong Moon The Journal of Korean Diabetes.2023; 24(3): 120. CrossRef
Background Neonatal porcine pancreatic cell clusters (NPCCs) have been proposed as an alternative source of β cells for islet transplantation because of their low cost and growth potential after transplantation. However, the delayed glucose lowering effect due to the immaturity of NPCCs and immunologic rejection remain as a barrier to NPCC’s clinical application. Here, we demonstrate accelerated differentiation and immune-tolerant NPCCs by in vitro chemical treatment and microencapsulation.
Methods NPCCs isolated from 3-day-old piglets were cultured in F-10 media and then microencapsulated with alginate on day 5. Differentiation of NPCCs is facilitated by media supplemented with activin receptor-like kinase 5 inhibitor II, triiodothyronine and exendin-4 for 2 weeks. Marginal number of microencapsulated NPCCs to cure diabetes with and without differentiation were transplanted into diabetic mice and observed for 8 weeks.
Results The proportion of insulin-positive cells and insulin mRNA levels of NPCCs were significantly increased in vitro in the differentiated group compared with the undifferentiated group. Blood glucose levels decreased eventually after transplantation of microencapsulated NPCCs in diabetic mice and normalized after 7 weeks in the differentiated group. In addition, the differentiated group showed nearly normal glucose tolerance at 8 weeks after transplantation. In contrast, neither blood glucose levels nor glucose tolerance were improved in the undifferentiated group. Retrieved graft in the differentiated group showed greater insulin response to high glucose compared with the undifferentiated group.
Conclusion in vitro differentiation of microencapsulated immature NPCCs increased the proportion of insulin-positive cells and improved transplant efficacy in diabetic mice without immune rejection.
Citations
Citations to this article as recorded by
Dual-targeted nano-encapsulation of neonatal porcine islet-like cell clusters with triiodothyronine-loaded bifunctional polymersomes Sang Hoon Lee, Minse Kim, Eun-Jin Lee, Sun Mi Ahn, Yu-Rim Ahn, Jaewon Choi, Jung-Taek Kang, Hyun-Ouk Kim Discover Nano.2024;[Epub] CrossRef
Long‐term efficacy of encapsulated xenogeneic islet transplantation: Impact of encapsulation techniques and donor genetic traits Heon‐Seok Park, Eun Young Lee, Young‐Hye You, Marie Rhee, Jong‐Min Kim, Seong‐Soo Hwang, Poong‐Yeon Lee Journal of Diabetes Investigation.2024; 15(6): 693. CrossRef
Background The choice of an optimal oral hypoglycemic agent in the initial treatment periods for type 2 diabetes mellitus (T2DM) patients remains difficult and deliberate. We compared the efficacy and safety of glimepiride (GLIM), alogliptin (ALO), and alogliptin-pioglitazone (ALO-PIO) in poorly controlled T2DM patients with drug-naïve or metformin failure.
Methods In this three-arm, multicenter, open-label, randomized, controlled trial, poorly controlled T2DM patients were randomized to receive GLIM (n=35), ALO (n=31), or ALO-PIO (n=33) therapy for 24 weeks. The primary endpoint was change in the mean glycosylated hemoglobin (HbA1c) levels at week 24 from baseline. Secondary endpoints were changes in HbA1c level at week 12 from baseline, fasting plasma glucose (FPG) levels, lipid profiles at weeks 12 and 24, and parameters of glycemic variability, assessed by continuous glucose monitoring for 24 weeks.
Results At weeks 12 and 24, the ALO-PIO group showed significant reduction in HbA1c levels compared to the ALO group (–0.96%±0.17% vs. –0.37%±0.17% at week 12; –1.13%±0.19% vs. –0.18%±0.2% at week 24). The ALO-PIO therapy caused greater reduction in FPG levels and significant increase in high-density lipoprotein cholesterol levels at weeks 12 and 24 than the ALO therapy. Compared to low-dose GLIM therapy, ALO-PIO therapy showed greater improvement in glycemic variability. The adverse events were similar among the three arms.
Conclusion ALO-PIO combination therapy during the early period exerts better glycemic control than ALO monotherapy and excellency in glycemic variability than low-dose sulfonylurea therapy in uncontrolled, drug-naïve or metformin failed T2DM patients.
Citations
Citations to this article as recorded by
A Comprehensive Review on Weight Loss Associated with Anti-Diabetic Medications Fatma Haddad, Ghadeer Dokmak, Maryam Bader, Rafik Karaman Life.2023; 13(4): 1012. CrossRef
Role of Dipeptidyl Peptidase 4 Inhibitors in Antidiabetic Treatment Ruili Yin, Yongsong Xu, Xin Wang, Longyan Yang, Dong Zhao Molecules.2022; 27(10): 3055. CrossRef
Jong Ha Baek, Ye Seul Yang, Seung-Hyun Ko, Kyung Do Han, Jae Hyeon Kim, Min Kyong Moon, Jong Suk Park, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Jong Han Choi, Kyu Yeon Hur, Committee of Clinical Practice Guidelines, Korean Diabetes Association
Diabetes Metab J. 2022;46(5):701-712. Published online June 3, 2022
Background To evaluate prescription trends and clinical factors of the sodium-glucose cotransporter 2 inhibitors (SGLT2i) use according to the presence of atherosclerotic cardiovascular disease (ASCVD) or heart failure (HF) in Korean patients with type 2 diabetes mellitus (T2DM).
Methods Prescription patterns of SGLT2i use between 2015 and 2019 were determined using the Korean National Health Insurance Service database of claims.
Results Of all patients with T2DM (n=4,736,493), the annual prescription rate of SGLT2i increased every year in patients with ASCVD (from 2.2% to 10.7%) or HF (from 2.0% to 11.1%). After the first hospitalization for ASCVD (n=518,572), 13.7% (n=71,259) of patients initiated SGLT2i with a median of 10.6 months. After hospitalization for HF (n=372,853), 11.2% (n=41,717) of patients initiated SGLT2i after a median of 8.8 months. In multivariate regression for hospitalization, older age (per 10 years, odds ratio [OR], 0.57; 95% confidence interval [CI], 0.56 to 0.57), lower household income (OR, 0.93; 95% CI, 0.92 to 0.95), rural residents (OR, 0.95; 95% CI, 0.93 to 0.97), and dipeptidyl peptidase-4 inhibitor (DPP-4i) users (OR, 0.82; 95% CI, 0.81 to 0.84) were associated with lesser initiation of SGLT2i in ASCVD. Additionally, female gender (OR, 0.97; 95% CI, 0.95 to 0.99) was associated with lesser initiation of SGLT2i in HF.
Conclusion The prescription rate of SGLT2i increased gradually up to 2019 but was suboptimal in patients with ASCVD or HF. After the first hospitalization for ASCVD or HF, older age, female gender, low household income, rural residents, and DPP-4i users were less likely to initiate SGLT2i.
Citations
Citations to this article as recorded by
Effectiveness and safety of sodium–glucose cotransporter 2 inhibitors in Asian populations Kyoung Hwa Ha, Dae Jung Kim Journal of Diabetes Investigation.2024; 15(3): 285. CrossRef
Real-World Treatment Patterns according to Clinical Practice Guidelines in Patients with Type 2 Diabetes Mellitus and Established Cardiovascular Disease in Korea: Multicenter, Retrospective, Observational Study Ye Seul Yang, Nam Hoon Kim, Jong Ha Baek, Seung-Hyun Ko, Jang Won Son, Seung-Hwan Lee, Sang Youl Rhee, Soo-Kyung Kim, Tae Seo Sohn, Ji Eun Jun, In-Kyung Jeong, Chong Hwa Kim, Keeho Song, Eun-Jung Rhee, Junghyun Noh, Kyu Yeon Hur Diabetes & Metabolism Journal.2024; 48(2): 279. CrossRef
Hospital Readmissions for Fluid Overload among Individuals with Diabetes and Diabetic Kidney Disease: Risk Factors and Multivariable Prediction Models Jiashen Cai, Dorothy Huang, Hanis Binte Abdul Kadir, Zhihua Huang, Li Choo Ng, Andrew Ang, Ngiap Chuan Tan, Yong Mong Bee, Wei Yi Tay, Chieh Suai Tan, Cynthia C. Lim Nephron.2024; 148(8): 523. CrossRef
Kidney outcomes with SGLT2 inhibitor versus DPP4 inhibitor use in older adults with diabetes Yuta Suzuki, Hidehiro Kaneko, Akira Okada, Jin Komuro, Toshiyuki Ko, Katsuhito Fujiu, Norifumi Takeda, Hiroyuki Morita, Akira Nishiyama, Masaki Ieda, Koichi Node, Hideo Yasunaga, Masaomi Nangaku, Issei Komuro Nephrology Dialysis Transplantation.2024;[Epub] CrossRef
Benefit and Safety of Sodium-Glucose Co-Transporter 2 Inhibitors in Older Patients with Type 2 Diabetes Mellitus Ja Young Jeon, Dae Jung Kim Diabetes & Metabolism Journal.2024; 48(5): 837. CrossRef
Impact of Chronic Kidney Disease and Gout on End-Stage Renal Disease in Type 2 Diabetes: Population-Based Cohort Study Inha Jung, Da Young Lee, Seung Min Chung, So Young Park, Ji Hee Yu, Jun Sung Moon, Ji A Seo, Kyungdo Han, Nan Hee Kim Endocrinology and Metabolism.2024; 39(5): 748. CrossRef
Prescribing patterns of SGLT-2 inhibitors for patients with heart failure: A two-center analysis Teja Chakrala, Roshni O. Prakash, Justin Kim, Hanzhi Gao, Umar Ghaffar, Jaymin Patel, Alex Parker, Bhagwan Dass American Heart Journal Plus: Cardiology Research and Practice.2023; 28: 100286. CrossRef
Risk of developing chronic kidney disease in young-onset Type 2 diabetes in Korea Joonyub Lee, Seung-Hwan Lee, Kun-Ho Yoon, Jae Hyoung Cho, Kyungdo Han, Yeoree Yang Scientific Reports.2023;[Epub] CrossRef
Comparison of SGLT2 inhibitors with DPP-4 inhibitors combined with metformin in patients with acute myocardial infarction and diabetes mellitus Young Sang Lyu, Seok Oh, Jin Hwa Kim, Sang Yong Kim, Myung Ho Jeong Cardiovascular Diabetology.2023;[Epub] CrossRef
Severe hypoglycemia as a risk factor for cardiovascular outcomes in patients with type 2 diabetes: is it preventable? Seung-Hyun Ko Cardiovascular Prevention and Pharmacotherapy.2022; 4(3): 106. CrossRef
Association between the Diabetes Drug Cost and Cardiovascular Events and Death in Korea: A National Health Insurance Service Database Analysis Seung Min Chung, Ji-In Lee, Eugene Han, Hyun-Ae Seo, Eonju Jeon, Hye Soon Kim, Ji Sung Yoon Endocrinology and Metabolism.2022; 37(5): 759. CrossRef
Background Continuous glucose monitoring (CGM) has been widely used in the management of diabetes. However, the usefulness and detailed data during perioperative status were not well studied. In this study, we described the immediate changes of glucose profiles after metabolic surgery using intermittently scanned CGM (isCGM) in individuals with type 2 diabetes mellitus (T2DM).
Methods This was a prospective, single-center, single-arm study including 20 participants with T2DM. The isCGM (FreeStyle Libre CGM) implantation was performed within 2 weeks before surgery. We compared CGM metrics of 3 days before surgery and 3 days after surgery, and performed the correlation analyses with clinical variables.
Results The mean glucose significantly decreased after surgery (147.0±40.4 to 95.5±17.1 mg/dL, P<0.001). Time in range (TIR; 70 to 180 mg/dL) did not significantly change after surgery in total. However, it was significantly increased in a subgroup of individuals with glycosylated hemoglobin (HbA1c) ≥8.0%. Time above range (>250 or 180 mg/dL) was significantly decreased in total. In contrast, time below range (<70 or 54 mg/dL) was significantly increased in total and especially in a subgroup of individuals with HbA1c <8.0% after surgery. The coefficient of variation significantly decreased after surgery. Higher baseline HbA1c was correlated with greater improvement in TIR (rho=0.607, P=0.005).
Conclusion The isCGM identified improvement of mean glucose and glycemic variability, and increase of hypoglycemia after metabolic surgery, but TIR was not significantly changed after surgery. We detected an increase of TIR only in individuals with HbA1c ≥8.0%.
Citations
Citations to this article as recorded by
Comparative Effect of Glucose-Lowering Drugs for Type 2 Diabetes Mellitus on Stroke Prevention: A Systematic Review and Network Meta-Analysis Ji Soo Kim, Gyeongsil Lee, Kyung-Il Park, Seung-Won Oh Diabetes & Metabolism Journal.2024; 48(2): 312. CrossRef
Continuous Glucose Monitoring Captures Glycemic Variability After Roux-en-Y Gastric Bypass in Patients with and Without Type 2 Diabetes Mellitus: A Prospective Cohort Study Raquel do A. P. Quevedo, Maria Edna de Melo, Cintia Cercato, Ariana E. Fernandes, Anna Carolina B. Dantas, Marco Aurélio Santo, Denis Pajecki, Marcio C. Mancini Obesity Surgery.2024; 34(8): 2789. CrossRef
Perioperative Management of Adult Patients with Diabetes Wearing Devices: A Society for Perioperative Assessment and Quality Improvement (SPAQI) Expert Consensus Statement Adriana D. Oprea, Smita K. Kalra, Elizabeth W. Duggan, Linda L. Russell, Richard D. Urman, Basem B. Abdelmalak, Preethi Patel, Kurt J. Pfeifer, Paul J. Grant, Marina M. Charitou, Carlos E. Mendez, Jennifer L. Sherr, Guillermo E. Umpierrez, David C. Klonof Journal of Clinical Anesthesia.2024; 99: 111627. CrossRef
Use of Continuous Glucose Monitoring in Patients Following Bariatric Surgery: A Scoping Review Yang Yu, Susan W. Groth Obesity Surgery.2023; 33(8): 2573. CrossRef
Asymptomatic Hypoglycemia after Metabolic Surgery: New Insights from Perioperative Continuous Glucose Monitoring Sang-Man Jin Diabetes & Metabolism Journal.2022; 46(5): 675. CrossRef
Background We assessed the myocardial infarction (MI), stroke, and all-cause death risks during follow-up according to the low-density lipoprotein cholesterol (LDL-C) levels among older adults.
Methods The Korean National Health Insurance Service datasets (2002 to 2020) were used for this population-based cohort study. The hazards of MI, stroke, and all-cause mortality during follow-up were analyzed according to LDL-C level in individuals aged ≥65 years without baseline cardiovascular diseases (n=1,391,616).
Results During a mean 7.55 years, 52,753 MIs developed; 84,224 strokes occurred over a mean 7.47 years. After a mean 8.50 years, 233,963 died. A decrease in LDL-C was associated with lower hazards of MI and stroke. The decreased hazard of stroke in lower LDL-C was more pronounced in statin users, and individuals with diabetes or obesity. The hazard of all-cause death during follow-up showed an inverted J-shaped pattern according to the LDL-C levels. However, the paradoxically increased hazard of mortality during follow-up in lower LDL-C was attenuated in statin users and individuals with diabetes, hypertension, or obesity. In statin users, lower LDL-C was associated with a decreased hazard of mortality during follow-up.
Conclusion Among the elderly, lower LDL-C was associated with decreased risks of MI and stroke. Lower LDL-C achieved by statins in the elderly was associated with a decreased risk of all-cause death during follow-up, suggesting that LDL-C paradox for the premature death risk in the elderly should not be applied to statin users. Intensive statin therapy should not be hesitated for older adults with cardiovascular risk factors including diabetes.
Citations
Citations to this article as recorded by
Combination of low- or moderate-intensity statin and ezetimibe vs. high-intensity statin monotherapy on primary prevention of cardiovascular disease and all-cause death: a propensity-matched nationwide cohort study Ji Eun Jun, In-Kyung Jeong, Kyu Jeong Ahn, Ho Yeon Chung, You-Cheol Hwang European Journal of Preventive Cardiology.2024; 31(10): 1205. CrossRef
Associations of Low-density Lipoprotein Cholesterol With All-cause and Cause-specific Mortality in Older Adults in China Wenqing Ni, Yuebin Lv, Xueli Yuan, Yan Zhang, Hongmin Zhang, Yijing Zheng, Xiaoming Shi, Jian Xu The Journal of Clinical Endocrinology & Metabolism.2024;[Epub] CrossRef
Risk Factors of Acute Ischemic Stroke and Mortality Among Adults With Endocardial Fibroelastosis Talal Warsi, Kamleshun Ramphul, Mansimran Singh Dulay, Saddam Jeelani, Renuka Verma, Nomesh Kumar, Jasninder Singh Dhaliwal, Caleb Carver, Hemamalini Sakthivel, Syed Khurram Mushtaq Gardezi, Saurabh Deshpande, Akil A. Sherif, Alexander Liu, Raheel Ahmed The Neurologist.2024; 29(6): 317. CrossRef
A Look at Primary and Secondary Prevention in the Elderly: The Two Sides of the Same Coin Maurizio Giuseppe Abrignani, Fabiana Lucà, Vincenzo Abrignani, Giuseppe Pelaggi, Alessandro Aiello, Furio Colivicchi, Francesco Fattirolli, Michele Massimo Gulizia, Federico Nardi, Paolo Giuseppe Pino, Iris Parrini, Carmelo Massimiliano Rao Journal of Clinical Medicine.2024; 13(15): 4350. CrossRef
Contradictions in traditional ideas about atherosclerosis and the efficacy of lipid-lowering therapy. Promising directions A. P. Vasiliev, N. N. Streltsova Сибирский научный медицинский журнал.2024; 44(4): 38. CrossRef
The relationship of low-density lipoprotein cholesterol and all-cause or cardiovascular mortality in patients with type 2 diabetes: a retrospective study Chin-Huan Chang, Shu-Tin Yeh, Seng-Wei Ooi, Chung-Yi Li, Hua-Fen Chen PeerJ.2023; 11: e14609. CrossRef
ERCC1 polymorphism and its expression associated with ischemic stroke in Chinese population Xiao-Dong Deng, Jian-Lin Ke, Tai-Yu Chen, Qin Gao, Zhuo-Lin Zhao, Wei Zhang, Huan Liu, Ming-Liang Xiang, Li-Zhen Wang, Ying Ma, Yun Liu Frontiers in Neurology.2023;[Epub] CrossRef
New, Novel Lipid-Lowering Agents for Reducing Cardiovascular Risk: Beyond Statins Kyuho Kim, Henry N. Ginsberg, Sung Hee Choi Diabetes & Metabolism Journal.2022; 46(4): 517. CrossRef
Association between the Diabetes Drug Cost and Cardiovascular Events and Death in Korea: A National Health Insurance Service Database Analysis Seung Min Chung, Ji-In Lee, Eugene Han, Hyun-Ae Seo, Eonju Jeon, Hye Soon Kim, Ji Sung Yoon Endocrinology and Metabolism.2022; 37(5): 759. CrossRef
Background Obesity classifications vary globally and the impact of older age adiposity on incident diabetes has not been well-studied.
Methods We examined a random sample of 2,809 participants aged ≥60 years in China, who were free of diabetes at baseline and were followed up for up to 10 years to document diabetes (n=178). The incidence of diabetes was assessed in relation to different cut-off points of body mass index (BMI) and waist circumference (WC) in multiple adjusted Cox regression models.
Results The diabetic risk in the cohort increased linearly with the continuous and quartile variables of BMI and WC. The BMI-World Health Organization (WHO) and BMI-China criteria analysis did not show such a linear relationship, however, the BMI-Asian/Hong Kong criteria did; adjusted hazards ratio (HR) was 0.42 (95% confidence interval [CI], 0.20 to 0.90) in BMI <20 kg/m2, 1.46 (95% CI, 0.99 to 2.14) in 23–≤26 kg/m2, and 1.63 (95% CI, 1.09 to 2.45) in ≥26 kg/m2. The WC-China criteria revealed a slightly better prediction of diabetes (adjusted HRs were 1.79 [95% CI, 1.21 to 2.66] and 1.87 [95% CI, 1.22 to 2.88] in central obese action levels 1 and 2) than the WC-WHO. The combination of the BMI-Asian/Hong Kong with WC-China demonstrated the strongest prediction. There were no gender differences in the impact of adiposity on diabetes.
Conclusion In older Chinese, BMI-Asian/Hong Kong criteria is a better predictor of diabetes than other BMI criterion. Its combination with WC-China improved the prediction of adiposity to diabetes, which would help manage bodyweight in older age to reduce the risk of diabetes.
Citations
Citations to this article as recorded by
Investigating Gender and Age Variability in Diabetes Prediction: A Multi-Model Ensemble Learning Approach Rishi Jain, Nitin Kumar Tripathi, Millie Pant, Chutiporn Anutariya, Chaklam Silpasuwanchai IEEE Access.2024; 12: 71535. CrossRef
Sex-based differences in the associations between abdominal obesity and diabetic retinopathy in diabetic patients with normal weight Yuan Liu, Kaiqun Liu, Liqiong Xie, Chengguo Zuo, Lanhua Wang, Wenyong Huang Heliyon.2024; 10(17): e36683. CrossRef
Impact of PM2.5 exposure in old age and its interactive effect with smoking on incidence of diabetes Anthony Chen, Jiaqian Yin, Ying Ma, Jian Hou, Weiju Zhou, Zhongliang Bai, Xia Qin, Zhi Hu, Yuntao Chen, Eric J. Brunner, Haidong Kan, Ruoling Chen Science of The Total Environment.2024; 954: 175219. CrossRef
Association of air pollution with dementia: a systematic review with meta-analysis including new cohort data from China Jie Tang, Anthony Chen, Fan He, Martin Shipley, Alan Nevill, Hugh Coe, Zhi Hu, Tao Zhang, Haidong Kan, Eric Brunner, Xuguang Tao, Ruoling Chen Environmental Research.2023; 223: 115048. CrossRef
Impact of fish consumption on all-cause mortality in older people with and without dementia: a community-based cohort study Aishat T. Bakre, Anthony Chen, Xuguang Tao, Jian Hou, Yuyou Yao, Alain Nevill, James J. Tang, Sabine Rohrmann, Jindong Ni, Zhi Hu, John Copeland, Ruoling Chen European Journal of Nutrition.2022; 61(7): 3785. CrossRef
Background The weight-adjusted waist index (WWI) reflected body compositional changes with aging. This study was to investigate the association of WWI with abdominal fat and muscle mass in a diverse race/ethnic population.
Methods Computed tomography (CT) data from 1,946 participants for abdominal fat and muscle areas from the Multi-Ethnic Study of Atherosclerosis (785 Whites, 252 Asians, 406 African American, and 503 Hispanics) were used. Among them, 595 participants underwent repeated CT. The WWI was calculated as waist circumference (cm) divided by the square root of body weight (kg). The associations of WWI with abdominal fat and muscle measures were examined, and longitudinal changes in abdominal composition measures were compared.
Results In all race/ethnic groups, WWI was positively correlated with total abdominal fat area (TFA), subcutaneous fat area, and visceral fat area, but negatively correlated with total abdominal muscle area (TMA) and abdominal muscle radiodensity (P<0.001 for all). WWI showed a linear increase with aging regardless of race and there were no significant differences in the WWI distribution between Whites, Asians, and African Americans. In longitudinal analyses, over 38.6 months of follow-up, all abdominal fat measures increased but muscle measures decreased, along with increase in WWI. The more the WWI increased, the more the TFA increased and the more the TMA decreased.
Conclusion WWI showed positive associations with abdominal fat mass and negative associations with abdominal muscle mass, which likely reflects the abdominal compositional changes with aging in a multi-ethnic population.
Citations
Citations to this article as recorded by
Development and external validation of a machine-learning based model to predict pre-sarcopenia in MASLD population: Results from NHANES 2017–2018 Siwei Yang, Jianan Yu, Qiyang Chen, Xuedong Sun, Yuefeng Hu, Tianhao Su, Jian Li, Long Jin Annals of Hepatology.2025; 30(2): 101585. CrossRef
The association between weight-adjusted-waist index and depression: Results from NHANES 2005–2018 Meng Li, Xue Yu, Wenhui Zhang, Jiahui Yin, Lu Zhang, Guoshuai Luo, Yuanxiang Liu, Jiguo Yang Journal of Affective Disorders.2024; 347: 299. CrossRef
Association between weight-adjusted-waist index and gallstones: an analysis of the National Health and Nutrition Examination Survey Si-Hua Wen, Xin Tang, Tao Tang, Zheng-Rong Ye BMC Gastroenterology.2024;[Epub] CrossRef
Association between weight-adjusted waist index and myopia in adolescents and young adults: results from NHANES 1999–2008 Xu Han Shi, Li Dong, Rui Heng Zhang, Wen Bin Wei BMC Ophthalmology.2024;[Epub] CrossRef
Association between the weight-adjusted waist index and the odds of type 2 diabetes mellitus in United States adults: a cross-sectional study Dongdong Zheng, Suzhen Zhao, Dan Luo, Feng Lu, Zhishen Ruan, Xiaokang Dong, Wenjing Chen Frontiers in Endocrinology.2024;[Epub] CrossRef
Association between Weight-Adjusted Waist Index and depressive symptoms: A nationally representative cross-sectional study from NHANES 2005 to 2018 Hangyu Liu, Jin Zhi, Chuzhao Zhang, Shiyi Huang, Yang Ma, Dandan Luo, Lungang Shi Journal of Affective Disorders.2024; 350: 49. CrossRef
Relationship between cognitive function and weight-adjusted waist index in people ≥ 60 years old in NHANES 2011–2014 Xue-li Wang, Hong-lin Feng, Xiao-zhuo Xu, Jing Liu, Xu Han Aging Clinical and Experimental Research.2024;[Epub] CrossRef
Association between weight-adjusted-waist index and periodontitis risk: A cross-sectional study Xinyu Wu, Zahra Cheraghi PLOS ONE.2024; 19(5): e0302137. CrossRef
Association between weight-adjusted waist index and non-alcoholic fatty liver disease: a population-based study Changhui Yu, Shiming He, Maobin Kuang, Chao Wang, Xin Huang, Guotai Sheng, Yang Zou BMC Endocrine Disorders.2024;[Epub] CrossRef
Association between weight-adjusted waist index and serum total testosterone in males aged 6–19 years in the United States: Data from NHANES 2013–2016 Zhifei Wu, Lingling Bao, Haiyan Wang, Jiajing Zheng, Yu Chen, Wenjuan Wang, Dongkai Qiu Heliyon.2024; 10(6): e27520. CrossRef
Associations of weight-adjusted-waist index and depression with secondary infertility Fei Sun, Min Liu, Shanshan Hu, Ruijie Xie, Huijuan Chen, Zhaona Sun, Huiya Bi Frontiers in Endocrinology.2024;[Epub] CrossRef
Association between weight-adjusted-waist index and depression in US adults: A cross-sectional study Yun Shen, Yahui Wu, Panru Luo, Minghan Fu, Kai Zhu, Jinsheng Wang Journal of Affective Disorders.2024; 355: 299. CrossRef
Age differences in the association of body mass index-defined obesity with abdominal aortic calcification Tangmeng Guo, Lili Huang, Zhijian Luo, Huabo Zheng, Shengshuai Shan, Bei Cheng Frontiers in Endocrinology.2024;[Epub] CrossRef
The relationship between weight-adjusted-waist index and diabetic kidney disease in patients with type 2 diabetes mellitus Zhaoxiang Wang, Xuejing Shao, Wei Xu, Bingshuang Xue, Shao Zhong, Qichao Yang Frontiers in Endocrinology.2024;[Epub] CrossRef
The association between the weight-adjusted-waist index and frailty in US older adults: a cross-sectional study of NHANES 2007–2018 Shanshan Jia, Xingwei Huo, Lirong Sun, Yuanyuan Yao, Xiaoping Chen Frontiers in Endocrinology.2024;[Epub] CrossRef
Can weight-adjusted waist circumference index become a single anthropometric predictor of prostate-specific antigen concentration? A National Health and Nutrition Examination Survey analysis (2003–2010) Guodong Yang, Te Cui, Yu Cao, Shuowen Wang, Xinyi Yang, Mikhail Enikeev, Mingze He Journal of Investigative Medicine.2024; 72(6): 532. CrossRef
The association between weight-adjusted-waist index and sarcopenia in adults: a population-based study Haojing Zhou, Hai Su, Yichen Gong, Lei Chen, Lihan Xu, Guoqian Chen, Peijian Tong Scientific Reports.2024;[Epub] CrossRef
Weight-adjusted waist index is an independent predictor of all-cause and cause-specific mortality in patients with asthma Shidong Wang, Dai Li, Liping Sun Heart & Lung.2024; 68: 166. CrossRef
Associations of body mass index, waist circumference and the weight‐adjusted waist index with daily living ability impairment in older Chinese people: A cross‐sectional study of the Chinese Longitudinal Healthy Longevity Survey Jie Sun, Jie Lin, Wenqin Shen, Pan Ding, Wenjuan Yang, Li Huang, Huajian Chen Diabetes, Obesity and Metabolism.2024; 26(9): 4069. CrossRef
Relationship between weight-adjusted-waist index and blood pressure as well as incident hypertension among middle-aged and elderly Chinese: A longitudinal study XingJie Huang, Yuqing Huang, Hanli Zhou, Zehan Huang Nutrition, Metabolism and Cardiovascular Diseases.2024; 34(9): 2095. CrossRef
Flavonoids intake and weight-adjusted waist index: insights from a cross-sectional study of NHANES Shuang Zu, Meiling Yang, Xiude Li, Hanhan Wu, Xunliang Li, Yunshan Fan, Deguang Wang, Bao Zhang Frontiers in Nutrition.2024;[Epub] CrossRef
Weight-adjusted-waist index is positively associated with urinary incontinence: results from the National Health and Nutrition Examination Survey (NHANES) 2001–2018 Shangqi Cao, Xu Hu, Yaxiong Tang, Kang Wu, Weixiao Yang, Xiang Li European Journal of Medical Research.2024;[Epub] CrossRef
The association between weight-adjusted waist circumference index and cardiovascular disease and mortality in patients with diabetes Zaixiao Tao, Pengfei Zuo, Genshan Ma Scientific Reports.2024;[Epub] CrossRef
The association between weight-adjusted-waist index and muscle strength in adults: a population-based study Lihan Xu, Haojing Zhou Frontiers in Public Health.2024;[Epub] CrossRef
Weight-adjusted waist index is a potential early predictor of degraded bone microarchitecture: A cross-sectional study of the national health and nutrition examination survey 2007-2008 Baoguo Mi, Jitao Zhang, Kuo Jiang, Hailan Meng, Lequn Shan, Dingjun Hao Journal of Orthopaedic Surgery.2024;[Epub] CrossRef
The weight-adjusted waist index and frailty: A cohort study from the China Health and Retirement Longitudinal Study Jinhua Luo, Hailian Deng, Yueying Wu, Tuming Zhang, Yuying Cai, Yu Yang The Journal of nutrition, health and aging.2024; 28(9): 100322. CrossRef
The association between Weight-adjusted-Waist Index (WWI) and cognitive function in older adults: a cross-sectional NHANES 2011–2014 study Xichenhui Qiu, Jiahao Kuang, Yiqing Huang, Changning Wei, Xujuan Zheng BMC Public Health.2024;[Epub] CrossRef
Association between weight-adjusted waist index and risk of diabetes mellitus type 2 in United States adults and the predictive value of obesity indicators XinMeng Li, Dan Zhao, Hongkun Wang BMC Public Health.2024;[Epub] CrossRef
Association of the weight-adjusted waist index with hypertension in the context of predictive, preventive, and personalized medicine Qi Sun, Yang Yang, Jing Liu, Fang Ye, Qin Hui, Yuanmei Chen, Die Liu, Qi Zhang EPMA Journal.2024; 15(3): 491. CrossRef
The Link Between Weight-Adjusted-Waist Index and Psoriasis in Adults: A Cross-Sectional Study Based on 2009-2014 and 2003-2006 Data Yizi Jiang, Min Jia Clinical, Cosmetic and Investigational Dermatology.2024; Volume 17: 1763. CrossRef
Association of weight-adjusted waist index with cardiovascular disease and mortality among metabolic syndrome population Zaixiao Tao, Pengfei Zuo, Genshan Ma Scientific Reports.2024;[Epub] CrossRef
Association between the weight-adjusted-waist index and circadian syndrome in findings from a nationwide study Weiwei Zeng Scientific Reports.2024;[Epub] CrossRef
The association of weight-adjusted waist index with the risk of osteoporosis in patients with type 2 diabetes: a cross-sectional study Runzhou Pan, Yukun Li Journal of Orthopaedic Surgery and Research.2024;[Epub] CrossRef
Relationship between weight‐adjusted‐waist index and all‐cause and cardiovascular mortality in individuals with type 2 diabetes Tian‐Yu Zhang, Zi‐Meng Zhang, Xue‐Ning Wang, Hong‐Yu Kuang, Qian Xu, Hong‐Xue Li, Cheng‐Ye Xu, Kang‐Qi Zhao, Cong Zhang, Ming Hao Diabetes, Obesity and Metabolism.2024; 26(12): 5621. CrossRef
Is weight-adjusted waist index more strongly associated with diabetes than body mass index and waist circumference?: Results from the database large community sample study Jiabei Wu, Jinli Guo, Fredirick Lazaro Mashili PLOS ONE.2024; 19(9): e0309150. CrossRef
Weight-adjusted waist index predicts metabolic syndrome in Caucasian patients with obesity Daniel de Luis Román, David Primo, Olatz Izaola Jáuregui, Daniel Rico Bigues, Juan José López Gómez Nutrición Hospitalaria.2024;[Epub] CrossRef
Association between healthy lifestyle and frailty in adults and mediating role of weight-adjusted waist index: results from NHANES Shibo Liu, Xiangjun Pan, Bo Chen, Dapeng Zeng, Shenghao Xu, Ruiyan Li, Xiongfeng Tang, Yanguo Qin BMC Geriatrics.2024;[Epub] CrossRef
Weight-adjusted waist index is positively and linearly associated with all-cause and cardiovascular mortality in metabolic dysfunction-associated steatotic liver disease: findings from NHANES 1999-2018 Weijie Liu, Xiulin Yang, Ting Zhan, Min Huang, Xiaorong Tian, Xia Tian, Xiaodong Huang Frontiers in Endocrinology.2024;[Epub] CrossRef
Weight-adjusted waist index and disability: a cohort study from CHARLS Guangyan Liu, Tuming Zhang, Yueying Wu, Wenyue Sha, Liqi Chen, Jinhua Luo, Yu Yang BMC Public Health.2024;[Epub] CrossRef
The relationship between weight-adjusted-waist index, body mass index and diabetic retinopathy among American adults: a population-based analysis Songtao Wang, Hecong Qin, Yu Zhang, Ning Yang, Jinsong Zhao Scientific Reports.2024;[Epub] CrossRef
Sex-specific association of weight-adjusted waist index with mortality in stroke survivors: A national longitudinal cohort study Fei Liu, Jiarui Chen, Ying Yao, Reng Ren, Yue Yu, Yinghong Hu Nutrition, Metabolism and Cardiovascular Diseases.2024;[Epub] CrossRef
Association between weight-adjusted waist index with incident stroke in the elderly with hypertension: a cohort study Junli Hu, Xintian Cai, Shuaiwei Song, Qing Zhu, Di Shen, Wenbo Yang, Jing Hong, Qin Luo, Nanfang Li Scientific Reports.2024;[Epub] CrossRef
Association between the weight-adjusted-waist index and testosterone deficiency in adult males: a cross-sectional study Peiqing Wang, Qiuling Li, Lifeng Wu, Xiaojun Yu, Yangxi Zheng, Jingyuan Liu, Jieying Yao, Zhenrui Liu, Sisi Fan, Yiqin Li Scientific Reports.2024;[Epub] CrossRef
Correlation between obstructive sleep apnea and weight-adjusted-waist index: a cross-sectional study Mengye Zhang, Xiaolu Weng, Jing Xu, Xue Xu Frontiers in Medicine.2024;[Epub] CrossRef
Weight-adjusted waist index associated with bone mineral density in rheumatoid arthritis patients: a cross-sectional study Qian Lyu, Linxiao Ma, Huijie Liu, Haiyan Shao Clinical Rheumatology.2024;[Epub] CrossRef
Assessment of existing anthropometric indices for screening sarcopenic obesity in older adults Jin Eui Kim, Jimi Choi, Miji Kim, Chang Won Won British Journal of Nutrition.2023; 129(5): 875. CrossRef
Relationship Between Weight-Adjusted Waist Index and Osteoporosis in the Senile in the United States from the National Health and Nutrition Examination Survey, 2017-2020 Yuxiang Lin, Zijie Liang, Anxin Zhang, Nuo Xu, Xuewen Pei, Nanbu Wang, Liang Zheng, Danghan Xu Journal of Clinical Densitometry.2023; 26(2): 101361. CrossRef
The association of asthma duration with body mass index and Weight-Adjusted-Waist index in a nationwide study of the U.S. adults Xiaoxiao Han, Xiaofang He, Gui Hao, Lifang Cao, Yinliang Qi, Kexing Han European Journal of Medical Research.2023;[Epub] CrossRef
Relationship between weight-adjusted-waist index and erectile dysfunction in the United State: results from NHANES 2001-2004 Shangqi Cao, Xu Hu, Yanxiang Shao, Yaohui Wang, Yaxiong Tang, Shangqing Ren, Xiang Li Frontiers in Endocrinology.2023;[Epub] CrossRef
The association between weight-adjusted-waist index and total bone mineral density in adolescents: NHANES 2011–2018 Xiaohua Wang, Shuo Yang, Gansheng He, Lin Xie Frontiers in Endocrinology.2023;[Epub] CrossRef
Asthma prevalence is increased in patients with high metabolism scores for visceral fat: study reports from the US Qiushi Liu, Xiaoxiao Han, Yan Chen, Ying Gao, Wei Yang, Lewei Huang Frontiers in Endocrinology.2023;[Epub] CrossRef
Positive association between weight-adjusted-waist index and dementia in the Chinese population with hypertension: a cross-sectional study Wei Zhou, Yanyou Xie, Lingling Yu, Chao Yu, Huihui Bao, Xiaoshu Cheng BMC Psychiatry.2023;[Epub] CrossRef
Associations between weight-adjusted waist index and bone mineral density: results of a nationwide survey Ya Zhang, Haiyang Wu, Cheng Li, Changxiong Liu, Mingjiang Liu, Xiaozhu Liu, Qiming Yin, Xianzhe Li, Ruijie Xie BMC Endocrine Disorders.2023;[Epub] CrossRef
Association of weight-adjusted-waist index with non-alcoholic fatty liver disease and liver fibrosis: a cross-sectional study based on NHANES Qinggang Hu, Kexing Han, Jiapei Shen, Weijie Sun, Long Gao, Yufeng Gao European Journal of Medical Research.2023;[Epub] CrossRef
Weight‐adjusted waist as an integrated index for fat, muscle and bone health in adults Kyoung Jin Kim, Serhim Son, Kyeong Jin Kim, Sin Gon Kim, Nam Hoon Kim Journal of Cachexia, Sarcopenia and Muscle.2023; 14(5): 2196. CrossRef
Association between weight-adjusted-waist index and female infertility: a population-based study Zujun Wen, Xiang Li Frontiers in Endocrinology.2023;[Epub] CrossRef
Association between weight-adjusted-waist index and risk of cardiovascular diseases in United States adults: a cross-sectional study Haiyang Fang, Feng Xie, Kai Li, Meng Li, Yanqing Wu BMC Cardiovascular Disorders.2023;[Epub] CrossRef
Association between the weight-adjusted waist index and stroke: a cross-sectional study Jiayi Ye, Yanjie Hu, Xinrong Chen, Zhe Yin, Xingzhu Yuan, Liping Huang, Ka Li BMC Public Health.2023;[Epub] CrossRef
Association between weight-adjusted-waist index and chronic kidney disease: a cross-sectional study Xiaowan Li, Lanyu Wang, Hongyi Zhou, Hongyang Xu BMC Nephrology.2023;[Epub] CrossRef
Sex Differences in the Association of Weight-Adjusted-Waist Index with Sarcopenic Obesity: A Cross-Sectional Study of Hemodialysis Patients Maolu Tian, Qin Lan, Fangfang Yu, Pinghong He, Shanshan Hu, Yan Zha Metabolic Syndrome and Related Disorders.2023; 21(10): 596. CrossRef
Lean or Non-obese Nonalcoholic Fatty Liver Disease Patients: Are They Really Lean? Eugene Han, Yong-ho Lee Clinical and Molecular Hepatology.2023; 29(4): 980. CrossRef
The association of body mass index and weight waist adjustment index with serum ferritin in a national study of US adults Hao Han, Ping Ni, Siqi Zhang, Xiaojuan Ji, Mingli Zhu, Wanyu Ma, Hongfeng Ge, Hailiang Chu European Journal of Medical Research.2023;[Epub] CrossRef
The weight-adjusted-waist index and cognitive impairment among U.S. older adults: a population-based study Xiao-tong Huang, Xiang Lv, Hong Jiang Frontiers in Endocrinology.2023;[Epub] CrossRef
The relationship between weight-adjusted-waist index and total bone mineral density in adults aged 20-59 Meiqian Guo, Yi Lei, Xueqing Liu, Xiang Li, Yong Xu, Donghui Zheng Frontiers in Endocrinology.2023;[Epub] CrossRef
Associations between weight-adjusted-waist index and infertility: Results from NHANES 2013 to 2020 Huanxin Zhong, Bin Yu, Fen Zhao, Hongyin Cui, Lifang You, Dao Feng, Yi Lu Medicine.2023; 102(48): e36388. CrossRef
The association between weight-adjusted-waist index and increased urinary albumin excretion in adults: A population-based study Zheng Qin, Kaixi Chang, Qinbo Yang, Qiao Yu, Ruoxi Liao, Baihai Su Frontiers in Nutrition.2022;[Epub] CrossRef
Association between the weight-adjusted-waist index and abdominal aortic calcification in United States adults: Results from the national health and nutrition examination survey 2013–2014 Feng Xie, Yuan Xiao, Xiaozhong Li, Yanqing Wu Frontiers in Cardiovascular Medicine.2022;[Epub] CrossRef
The association between weight-adjusted-waist index and abdominal aortic calcification in adults aged ≥ 40 years: results from NHANES 2013–2014 Zheng Qin, Dongru Du, Yupei Li, Kaixi Chang, Qinbo Yang, Zhuyun Zhang, Ruoxi Liao, Baihai Su Scientific Reports.2022;[Epub] CrossRef
Background The present study investigated the role of synergistic interaction between hyperuricemia and abdominal obesity as a risk factor for the components of metabolic syndrome.
Methods We performed a cross-sectional study using the data of 16,094 individuals from the seventh Korean National Health and Nutrition Examination Survey (2016 to 2018). The adjusted odds ratios of metabolic syndrome and its components were analyzed by multivariate logistic regression analysis. The presence of synergistic interaction between hyperuricemia and abdominal obesity was evaluated by calculating the additive scales—the relative excess risk due to interaction, attributable proportion due to interaction, and synergy index (SI).
Results There was a synergistic interaction between hyperuricemia and abdominal obesity in hypertriglyceridemia (men: SI, 1.39; 95% confidence interval [CI], 1.01 to 1.98; women: SI, 1.61; 95% CI, 1.02 to 2.69), and low high-density lipoprotein cholesterol (HDL-C) (men: SI, 2.03; 95% CI, 1.41 to 2.91; women: SI, 1.70; 95% CI, 1.05 to 2.95). There was no significant synergistic interaction between hyperuricemia and abdominal obesity for the risk of high blood pressure (men: SI, 1.22; 95% CI, 0.85 to 1.77; women: SI, 1.53; 95% CI, 0.79 to 2.97), and hyperglycemia (men: SI, 1.03; 95% CI, 0.72 to 1.47; women: SI, 1.39; 95% CI, 0.75 to 2.57).
Conclusion Hyperuricemia and abdominal obesity synergistically increased the risk of hypertriglyceridemia and low HDL-C in both sexes.
Citations
Citations to this article as recorded by
Prevalence and factors associated with overweight, obesity and central obesity among adults in Shenmu City, Shaanxi Province, China Mingxia Liu, Chunjiao Jia, Yaoda Hu, Juan Liu, Lizhen Liu, Shengli Sun, Haiying Wang, Yonglin Liu Preventive Medicine Reports.2024; 40: 102673. CrossRef
Synergistic interaction between hyperlipidemia and obesity as a risk factor for stress urinary incontinence in Americans Fangyi Zhu, Mao Chen, Ya Xiao, Xiaoyu Huang, Liying Chen, Li Hong Scientific Reports.2024;[Epub] CrossRef
Uric Acid Inhibits Mice Pancreatic Steatosis via the Glycerophospholipid Pathway Yang Xiao, Lina Han, Han Wang, Helin Ke, Shaodan Xu, Zhibin Huang, Guorong Lyu, Shilin Li ACS Omega.2024; 9(20): 21829. CrossRef
Association of resistome abundance with hyperuricaemia in elderly individuals: a metagenomics study Zhiyang Liu, Yingbo Shen, Yulin Fu, Da Sun, Liang Li, Ziquan Lv Frontiers in Microbiomes.2024;[Epub] CrossRef
Exploring the Relationship Between Different Obesity Metabolism Indices and Hyperuricemia in Patients with Hypertension and Coronary Heart Disease Yuanyuan Li, Shanting Yi, Wencai Jiang, Meihui Gong Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 3817. CrossRef
The role of cognitive function in the relationship between surrogate markers of visceral fat and depressive symptoms in general middle-aged and elderly population: A nationwide population-based study Na Zhang, Jianqian Chao, Xueyu Wu, Hongling Chen, Min Bao Journal of Affective Disorders.2023; 338: 581. CrossRef
Biodegradation of Uric Acid by Bacillus paramycoides-YC02 Xiaoyu Cao, Jingyuan Cai, Yu Zhang, Chao Liu, Meijie Song, Qianqian Xu, Yang Liu, Hai Yan Microorganisms.2023; 11(8): 1989. CrossRef
A predictive model for hyperuricemia among type 2 diabetes mellitus patients in Urumqi, China Palizhati Abudureyimu, Yuesheng Pang, Lirun Huang, Qianqian Luo, Xiaozheng Zhang, Yifan Xu, Liang Jiang, Patamu Mohemaiti BMC Public Health.2023;[Epub] CrossRef
Dietary Ferulic Acid Ameliorates Metabolism Syndrome-Associated Hyperuricemia in Rats via Regulating Uric Acid Synthesis, Glycolipid Metabolism, and Hepatic Injury Nanhai Zhang, Jingxuan Zhou, Lei Zhao, Ou Wang, Liebing Zhang, Feng Zhou Frontiers in Nutrition.2022;[Epub] CrossRef
Background Obesity is associated with adverse health events among diabetic patients, however, the relationship between obesity fluctuation and risk of microvascular complications among this specific population is unclear. We aimed to examine the effect of waist circumference (WC) and body mass index (BMI) variability on the risk of diabetic microvascular outcome
Methods Annually recorded anthropometric data in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study was used to examine the association of WC and BMI variability defined as variability independent of mean, with the risk of microvascular outcomes, including neuropathy, nephropathy, and retinopathy. Cox proportional hazards models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) (Trial registration: ClinicalTrials.gov., no. NCT00000620).
Results There were 4,031, 5,369, and 2,601 cases of neuropathy, nephropathy, and retinopathy during a follow-up period of 22,524, 23,941, and 23,850 person-years, respectively. Higher levels of WC and BMI variability were associated with an increased risk of neuropathy. Compared with the lowest quartile, the fully-adjusted HR (95% CI) for the highest quartile of WC and BMI variability for neuropathy risk were 1.21 (1.05 to 1.40) and 1.16 (1.00 to 1.33), respectively. Also, higher quartiles of BMI variability but not WC variability were associated with increased risk of nephropathic events. The fully-adjusted HR (95% CI) for the highest quartile compared with the lowest quartile of BMI variability was 1.31 (1.18 to 1.46). However, the results for retinopathic events were all insignificant.
Conclusion Among participants with type 2 diabetes mellitus, WC and BMI variability were associated with a higher risk of neuropathic events, whereas BMI variability was associated with an increased risk of nephropathic events.
Citations
Citations to this article as recorded by
Association of body mass index and blood pressure variability with 10-year mortality and renal disease progression in type 2 diabetes Stephen Fava, Sascha Reiff Acta Diabetologica.2024; 61(6): 747. CrossRef
Investigating the causal association of generalized and abdominal obesity with microvascular complications in patients with type 2 diabetes: A community‐based prospective study Jiaheng Chen, Yu Ting Li, Zimin Niu, Zhanpeng He, Yao Jie Xie, Jose Hernandez, Wenyong Huang, Harry H X Wang Diabetes, Obesity and Metabolism.2024; 26(7): 2796. CrossRef
Serum Spexin Level Is Negatively Associated With Peripheral Neuropathy and Sensory Pain in Type 2 Diabetes Ying Liu, Di Wu, Hangping Zheng, Yunzhi Ni, Lu Zhu, Yaojing Jiang, Jiarong Dai, Quanya Sun, Ying Zhao, Qi Zhang, Yehong Yang, Rui Liu Journal of Diabetes Research.2024; 2024: 1. CrossRef
Cardiovascular health metrics and diabetic nephropathy: a nationally representative cross-sectional study Yanpei Mai, Si Yan, Liya Gong International Urology and Nephrology.2024; 56(11): 3569. CrossRef
Association between body fat variation rate and risk of diabetic nephropathy - a posthoc analysis based on ACCORD database Shuai Li, Li Lin, Xiaoyue Chen, Siyu Liu, Ming Gao, Xunjie Cheng, Chuanchang Li BMC Public Health.2024;[Epub] CrossRef
Waist Circumference and Body Mass Index Variability and Incident Diabetic Microvascular Complications: A Post Hoc Analysis of ACCORD Trial (Diabetes Metab J 2022;46:767-80) Yun Kyung Cho Diabetes & Metabolism Journal.2023; 47(1): 147. CrossRef
Waist Circumference and Body Mass Index Variability and Incident Diabetic Microvascular Complications: A Post Hoc Analysis of ACCORD Trial (Diabetes Metab J 2022;46:767-80) Daniel Nyarko Hukportie, Fu-Rong Li, Rui Zhou, Jia-Zhen Zheng, Xiao-Xiang Wu, Xian-Bo Wu Diabetes & Metabolism Journal.2023; 47(1): 150. CrossRef
Weight variability and diabetes complications Francesco Prattichizzo, Chiara Frigé, Rosalba La Grotta, Antonio Ceriello Diabetes Research and Clinical Practice.2023; 199: 110646. CrossRef
Risk Factors for Diabetic Retinopathy in Latin America (Mexico) and the World: A Systematic Review and Meta-Analysis Oscar Vivanco-Rojas, Sonia López-Letayf, Valentina Londoño-Angarita, Fátima Sofía Magaña-Guerrero, Beatriz Buentello-Volante, Yonathan Garfias Journal of Clinical Medicine.2023; 12(20): 6583. CrossRef
Effects of body weight variability on risks of macro- and microvascular outcomes in individuals with type 2 diabetes: The Rio de Janeiro type 2 diabetes cohort Claudia R.L. Cardoso, Nathalie C. Leite, Gil F. Salles Diabetes Research and Clinical Practice.2023; 205: 110992. CrossRef
Correlation Between the Variability of Different Obesity Indices and Diabetic Kidney Disease: A Retrospective Cohort Study Based on Populations in Taiwan Zhenzhen Sun, Kun Wang, Chuan Yun, Fang Bai, Xiaodan Yuan, Yaujiunn Lee, Qingqing Lou Diabetes, Metabolic Syndrome and Obesity.2023; Volume 16: 2791. CrossRef
Unraveling shared risk factors for diabetic foot ulcer: a comprehensive Mendelian randomization analysis Kangli Yin, Tianci Qiao, Yongkang Zhang, Jiarui Liu, Yuzhen Wang, Fei Qi, Junlin Deng, Cheng Zhao, Yongcheng Xu, Yemin Cao BMJ Open Diabetes Research & Care.2023; 11(6): e003523. CrossRef
Background Type 2 diabetes mellitus (T2DM) is known to be associated with cognitive decline and brain structural changes. This study systematically reviews and estimates human brain volumetric differences and atrophy associated with T2DM.
Methods PubMed, PsycInfo and Cochrane Library were searched for brain imaging studies reporting on brain volume differences between individuals with T2DM and healthy controls. Data were examined using meta-analysis, and association between age, sex, diabetes characteristics and brain volumes were tested using meta-regression.
Results A total of 14,605 entries were identified; after title, abstract and full-text screening applying inclusion and exclusion criteria, 64 studies were included and 42 studies with compatible data contributed to the meta-analysis (n=31,630; mean age 71.0 years; 44.4% male; 26,942 control; 4,688 diabetes). Individuals with T2DM had significantly smaller total brain volume, total grey matter volume, total white matter volume and hippocampal volume (approximately 1% to 4%); meta-analyses of smaller samples focusing on other brain regions and brain atrophy rate in longitudinal investigations also indicated smaller brain volumes and greater brain atrophy associated with T2DM. Meta-regression suggests that diabetes-related brain volume differences start occurring in early adulthood, decreases with age and increases with diabetes duration.
Conclusion T2DM is associated with smaller total and regional brain volume and greater atrophy over time. These effects are substantial and highlight an urgent need to develop interventions to reduce the risk of T2DM for brain health.
Citations
Citations to this article as recorded by
Probiotics: A potential strategy for improving diabetes mellitus complicated with cognitive impairment Xin Shen, Feiyan Zhao, Zhixin Zhao, Jie Yu, Zhihong Sun Microbiological Research.2025; 290: 127960. CrossRef
The psychological basis of hunger and its dysfunctions Richard J Stevenson Nutrition Reviews.2024; 82(10): 1444. CrossRef
Diabetes, antidiabetic medications and risk of dementia: A systematic umbrella review and meta‐analysis Alvin Kuate Defo, Veselko Bakula, Alessandro Pisaturo, Christopher Labos, Simon S. Wing, Stella S. Daskalopoulou Diabetes, Obesity and Metabolism.2024; 26(2): 441. CrossRef
Cognitive deficits among people with schizophrenia and prediabetes or diabetes Alexander Panickacheril John, Thynn Mya, Darren Haywood Acta Psychiatrica Scandinavica.2024; 149(1): 65. CrossRef
The association of glucose metabolism measures and diabetes status with Alzheimer’s disease biomarkers of amyloid and tau: A systematic review and meta-analysis Veerle van Gils, Marianna Rizzo, Jade Côté, Wolfgang Viechtbauer, Giuseppe Fanelli, Jordi Salas-Salvadó, Theresa Wimberley, Mònica Bulló, Fernando Fernandez-Aranda, Søren Dalsgaard, Pieter Jelle Visser, Willemijn J. Jansen, Stephanie J.B. Vos Neuroscience & Biobehavioral Reviews.2024; 159: 105604. CrossRef
ECHDC3 Variant Regulates the Right Hippocampal Microstructural Integrity and Verbal Memory in Type 2 Diabetes Mellitus Qiyu Zhao, Xin Du, Feng Liu, Yang Zhang, Wen Qin, Quan Zhang Neuroscience.2024; 538: 30. CrossRef
The hemodynamic response function as a type 2 diabetes biomarker: a data-driven approach Pedro Guimarães, Pedro Serranho, João V. Duarte, Joana Crisóstomo, Carolina Moreno, Leonor Gomes, Rui Bernardes, Miguel Castelo-Branco Frontiers in Neuroinformatics.2024;[Epub] CrossRef
What have clinical trials taught us about brain health? Keon-Joo Lee, Hee-Joon Bae Cerebral Circulation - Cognition and Behavior.2024; 6: 100199. CrossRef
Understanding the relationship between type-2 diabetes, MRI markers of neurodegeneration and small vessel disease, and dementia risk: a mediation analysis Leslie Grasset, Eric Frison, Catherine Helmer, Gwénaëlle Catheline, Geneviève Chêne, Carole Dufouil European Journal of Epidemiology.2024; 39(4): 409. CrossRef
Vulnerability of the Hippocampus to Insults: Links to Blood–Brain Barrier Dysfunction Terry L. Davidson, Richard J. Stevenson International Journal of Molecular Sciences.2024; 25(4): 1991. CrossRef
Diabetes mellitus in older persons with neurocognitive disorder: overtreatment prevalence and associated structural brain MRI findings Pauline Putallaz, Laurence Seematter-Bagnoud, Bogdan Draganski, Olivier Rouaud, Hélène Krief, Christophe J. Büla BMC Geriatrics.2024;[Epub] CrossRef
Accelerometer‐Measured Behavior Patterns in Incident Cerebrovascular Disease: Insights for Preventative Monitoring From the UK Biobank Stephanie J. Zawada, Ali Ganjizadeh, Gian Marco Conte, Bart M. Demaerschalk, Bradley J. Erickson Journal of the American Heart Association.2024;[Epub] CrossRef
Effects of glycaemic control on memory performance, hippocampal volumes and depressive symptomology Gulin Yatagan Sevim, Erkan Alkan, Tamara P. Taporoski, Jose E Krieger, Alex C Pereira, Simon L. Evans Diabetology & Metabolic Syndrome.2024;[Epub] CrossRef
The effect of diabetes in the multifaceted relationship between education and cognitive function Constantin Reinke BMC Public Health.2024;[Epub] CrossRef
Analysis of Brain Age Gap across Subject Cohorts and Prediction Model Architectures Lara Dular, Žiga Špiclin Biomedicines.2024; 12(9): 2139. CrossRef
Discovery of High-Risk Clinical Factors That Accelerate Brain Aging in Adults: A Population-Based Machine Learning Study Jing Sun, Luyao Wang, Yiwen Gao, Ying Hui, Shuohua Chen, Shouling Wu, Zhenchang Wang, Jiehui Jiang, Han Lv Research.2024;[Epub] CrossRef
The gut microbiota‐astrocyte axis: Implications for type 2 diabetic cognitive dysfunction Zi‐Han Li, Ya‐Yi Jiang, Cai‐Yi Long, Qian Peng, Ren‐Song Yue CNS Neuroscience & Therapeutics.2023; 29(S1): 59. CrossRef
NHANES 2011–2014 Reveals Decreased Cognitive Performance in U.S. Older Adults with Metabolic Syndrome Combinations Edgar Díaz-Camargo, Juan Hernández-Lalinde, María Sánchez-Rubio, Yudy Chaparro-Suárez, Liseth Álvarez-Caicedo, Alexandra Fierro-Zarate, Marbel Gravini-Donado, Henry García-Pacheco, Joselyn Rojas-Quintero, Valmore Bermúdez International Journal of Environmental Research and Public Health.2023; 20(7): 5257. CrossRef
People with Diabetes Have Poorer Self-Rated Health (SRH) and Diabetes Moderates the Association between Age and SRH Weixi Kang, Antonio Malvaso Diseases.2023; 11(2): 73. CrossRef
Cognitive dysfunction in diabetes: abnormal glucose metabolic regulation in the brain Shan Zhang, Yueying Zhang, Zhige Wen, YaNan Yang, Tianjie Bu, Xiangwei Bu, Qing Ni Frontiers in Endocrinology.2023;[Epub] CrossRef
Associations of Glucose Metabolism Status with Brain Macrostructure and Microstructure: Findings from the UK Biobank Ruyi Li, Tingting Geng, Lin Li, Qi Lu, Rui Li, Xue Chen, Yunjing Ou, Sen Liu, Xiaoyu Lin, Qingying Tian, Zixin Qiu, Kai Zhu, Ziyue Tang, Kun Yang, An Pan, Gang Liu The Journal of Clinical Endocrinology & Metabolism.2023; 109(1): e234. CrossRef
Association Between Frequency of Social Contact and Brain Atrophy in Community-Dwelling Older People Without Dementia Naoki Hirabayashi, Takanori Honda, Jun Hata, Yoshihiko Furuta, Mao Shibata, Tomoyuki Ohara, Yasuko Tatewaki, Yasuyuki Taki, Shigeyuki Nakaji, Tetsuya Maeda, Kenjiro Ono, Masaru Mimura, Kenji Nakashima, Jun-ichi Iga, Minoru Takebayashi, Toshiharu Ninomiya, Neurology.2023;[Epub] CrossRef
A diagnosis model for brain atrophy using deep learning and MRI of type 2 diabetes mellitus Saba Raoof Syed, Saleem Durai M. A. Frontiers in Neuroscience.2023;[Epub] CrossRef
Diabetes: a tipping point in neurodegenerative diseases Jose A. Santiago, Mridula Karthikeyan, Madison Lackey, Diana Villavicencio, Judith A. Potashkin Trends in Molecular Medicine.2023; 29(12): 1029. CrossRef
Association between Type 2 Diabetes Mellitus and Brain Atrophy: A Meta-Analysis (Diabetes Metab J 2022;46:781-802) Tianqi Zhang, Marnie Shaw, Nicolas Cherbuin Diabetes & Metabolism Journal.2022; 46(5): 815. CrossRef
Association between Type 2 Diabetes Mellitus and Brain Atrophy: A Meta-Analysis (Diabetes Metab J 2022;46:781-802) Se Hee Min Diabetes & Metabolism Journal.2022; 46(5): 813. CrossRef
MORPHOFUNCTIONAL CHANGES OF THE BRAIN IN DIABETES MELLITUS A. V. Smirnov, A. I Bisinbekova, T. I Faibisovich Journal of Volgograd State Medical University.2022; 19(3): 3. CrossRef
We investigated the incidence of diagnosed diabetes in South Korean adults (aged ≥20 years) by analyzing data for the National Health Insurance Service–National Sample Cohort. From 2006 to 2015, the overall incidence rate of diagnosed diabetes decreased by approximately 0.1% per year until 2015. Although, this trend was observed in individuals aged 40 years or over, the rate increased slightly in the 20–29 and 30–39 years age groups, from 0.5 to 0.7 and 2.0 to 2.6 per 1,000 individuals, respectively. The proportion of obese young adults with diabetes increased remarkably, from 51.4% in 2006 to 72.4% in 2015. Thus, young adults need early identification and weight-control strategies to prevent diabetes.
Citations
Citations to this article as recorded by
Cumulative exposure to hypertriglyceridemia and risk of type 2 diabetes in young adults Min-Kyung Lee, Kyungdo Han, Bongsung Kim, Jong-Dai Kim, Moon Jung Kim, Byungpyo Kim, Jung Heo, Jiyeon Ahn, Seo-Young Sohn, Jae-Hyuk Lee Diabetes Research and Clinical Practice.2024; 208: 111109. CrossRef
Young-Onset Diabetes in East Asians: From Epidemiology to Precision Medicine Juliana C.N. Chan, Chun-Kwan O, Andrea O.Y. Luk Endocrinology and Metabolism.2024; 39(2): 239. CrossRef
Epidemiological Association of Current Smoking Status with Hypertension and Obesity among Adults Including the Elderly in Korea: Multivariate Analysis of a Nationwide Cross-Sectional Study Excluding Grades 2–3 Hypertension Cases Sung-Eun Park, Seyong Jang, Wi-Young So, Junsu Kim Journal of Cardiovascular Development and Disease.2024; 11(7): 212. CrossRef
Do Type 1 and Type 2 Diabetes Have the Same Vascular Complications? Yun Kyung Cho The Journal of Korean Diabetes.2024; 25(2): 62. CrossRef
Korean National Burden of Disease: The Importance of Diabetes Management Chung-Nyun Kim, Yoon-Sun Jung, Young-Eun Kim, Minsu Ock, Seok-Jun Yoon Diabetes & Metabolism Journal.2024; 48(4): 518. CrossRef
Prevalence, Awareness, Treatment, and Control of Type 2 Diabetes in South Korea (1998 to 2022): Nationwide Cross-Sectional Study Wonwoo Jang, Seokjun Kim, Yejun Son, Soeun Kim, Hyeon Jin Kim, Hyesu Jo, Jaeyu Park, Kyeongmin Lee, Hayeon Lee, Mark A Tully, Masoud Rahmati, Lee Smith, Jiseung Kang, Selin Woo, Sunyoung Kim, Jiyoung Hwang, Sang Youl Rhee, Dong Keon Yon JMIR Public Health and Surveillance.2024; 10: e59571. CrossRef
Changes in the Epidemiological Landscape of Diabetes in South Korea: Trends in Prevalence, Incidence, and Healthcare Expenditures Kyoung Hwa Ha, Dae Jung Kim Endocrinology and Metabolism.2024; 39(5): 669. CrossRef
Diabetes screening in South Korea: a new estimate of the number needed to screen to detect diabetes Kyoung Hwa Ha, Kyung Ae Lee, Kyung-Do Han, Min Kyong Moon, Dae Jung Kim The Korean Journal of Internal Medicine.2023; 38(1): 93. CrossRef
Revisiting the Diabetes Crisis in Korea: Call for Urgent Action Jun Sung Moon The Journal of Korean Diabetes.2023; 24(1): 1. CrossRef
Position Statement on the Appropriateness and Significance of Adding the Glycated Hemoglobin Test to the National Health Examination Ji Hye Kim, Dae Jung Kim, Jaehyun Kim, Sangjoon Park, Kyunghoon Lee, Jun Goo Kang, Eu Jeong Ku, Su Kyoung Kwon, Won Jun Kim, Young Sang Lyu, Jang Won Son, Young Sil Eom, Kyung Ae Lee, Jeongrim Lee, Jung Min Lee, Jung Hwa Lee, Jung Hwa Jung, Hochan Cho, Da The Journal of Korean Diabetes.2023; 24(4): 178. CrossRef
Diabetes Fact Sheet in Korea 2021 Jae Hyun Bae, Kyung-Do Han, Seung-Hyun Ko, Ye Seul Yang, Jong Han Choi, Kyung Mook Choi, Hyuk-Sang Kwon, Kyu Chang Won Diabetes & Metabolism Journal.2022; 46(3): 417. CrossRef
젊은 2형 당뇨병 환자의 관리 재현 배 Public Health Weekly Report.2022; 15(35): 2474. CrossRef
Screening for Prediabetes and Diabetes in Korean Nonpregnant Adults: A Position Statement of the Korean Diabetes Association, 2022 Kyung Ae Lee, Dae Jung Kim, Kyungdo Han, Suk Chon, Min Kyong Moon Diabetes & Metabolism Journal.2022; 46(6): 819. CrossRef
This study used data from the Korea National Health and Nutrition Examination Survey IV–VII from 2007 to identify the prevalence of obesity and its phenotypes (metabolically unhealthy obesity [MUO] and metabolically healthy obesity [MHO]) and their secular changes. The prevalence of obesity in Korea increased with significant secular changes observed (β=0.326, P trend <0.01) between 2007 and 2017, and especially in men (β=0.682, P trend <0.001) but not in women. The changes in the prevalence of obesity during the study period were different between men and women (P=0.001). The prevalence of MUO significantly increased only in men (β=0.565, P trend <0.01), while that of MHO increased only in women (β=0.179, P<0.05), especially in the younger age group (β=0.308, P<0.01).
Citations
Citations to this article as recorded by
Link between obesity and growth in children and adolescents Hae Sang Lee Journal of the Korean Medical Association.2024; 67(5): 330. CrossRef
Hormonal Gut–Brain Signaling for the Treatment of Obesity Eun Roh, Kyung Mook Choi International Journal of Molecular Sciences.2023; 24(4): 3384. CrossRef
Differences of Regional Fat Distribution Measured by Magnetic Resonance Imaging According to Obese Phenotype in Koreans Ha-Neul Choi, Hyunjung Lim, Young-Seol Kim, Sang-Youl Rhee, Jung-Eun Yim Metabolic Syndrome and Related Disorders.2022; 20(10): 551. CrossRef