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Park DH, Chung CH, Lee DH, Lee EY, Jeon JY. Resting heart rate is associated with the prevalence of chronic kidney disease in Korean adult: the Korean National Health and Nutrition Survey. BMC Public Health 2024; 24:367. [PMID: 38311734 PMCID: PMC10840174 DOI: 10.1186/s12889-024-17877-4] [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: 06/16/2023] [Accepted: 01/24/2024] [Indexed: 02/06/2024] Open
Abstract
BACKGROUND Chronic kidney disease (CKD) poses a significant health challenge, yet early detection remains difficult. Resting heart rate (RHR) has been shown to be a reliable indicator of type 2 diabetes, prompting interest in its potential as an independent predictor of CKD. This study aimed to investigate the association between RHR and CKD prevalence, as well as explore potential interactions between RHR and other risk factors for CKD in a sample of 25,246 adults. METHODS Data from the Korean National Health and Nutrition Examination Survey (2011-2014) were utilized for this study, with 19,210 participants included after screening. Logistic regression analysis was employed to examine the relationship between RHR and CKD prevalence. Stratified analyses were conducted based on known risk factors for CKD. RESULTS Participants with an RHR ≥ 90 bpm exhibited a 2.07-fold [95% confidence interval (CI): 1.28-3.34] and 2.22-fold (95% CI: 1.42-3.48) higher prevalence of CKD in men and women, respectively, compared to those with an RHR < 60 bpm. The association between RHR and CKD prevalence was particularly pronounced in younger participants (40-59 years vs. ≥ 60 years), individuals with diabetes (yes vs. no), and those with a longer duration of diabetes (≥ 7 years vs. < 7 years). CONCLUSION Elevated RHR was found to be significantly associated with a higher prevalence of CKD in both men and women, independent of demographic, lifestyle, and medical factors. These findings suggest that RHR could serve as a valuable predictor for undiagnosed CKD.
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Affiliation(s)
- Dong-Hyuk Park
- Department of Sport Industry Studies, Yonsei University Sport Science Complex, 50 Yonsei-Ro, Seoul, Korea
- Exercise Medicine Center for Diabetes and Cancer Patients, ICONS, Yonsei University, Seoul, Korea
| | - Choon Hee Chung
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Dong Hoon Lee
- Department of Sport Industry Studies, Yonsei University Sport Science Complex, 50 Yonsei-Ro, Seoul, Korea
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Eun Young Lee
- Department of Internal Medicine and Institute of Tissue Regeneration, Soonchunhyang University College of Medicine, Cheonan, BK21 FOUR Project, Korea.
| | - Justin Y Jeon
- Department of Sport Industry Studies, Yonsei University Sport Science Complex, 50 Yonsei-Ro, Seoul, Korea.
- Exercise Medicine Center for Diabetes and Cancer Patients, ICONS, Yonsei University, Seoul, Korea.
- Cancer Prevention Center, Yonsei Cancer Center, Shinchon Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
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Parmar SS, Mohamed MO, Mamas MA, Wilkie R. The clinical characteristics, managements, and outcomes of acute myocardial infarction in osteoarthritis patients; a cross-sectional analysis of 6.5 million patients. Expert Rev Cardiovasc Ther 2024; 22:121-129. [PMID: 38284347 DOI: 10.1080/14779072.2024.2311696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Accepted: 01/25/2024] [Indexed: 01/30/2024]
Abstract
OBJECTIVES The prevalence of osteoarthritis (OA) and cardiovascular disease are increasing and both conditions share similar risk factors. We investigated the association between OA and receipt of invasive managements and clinical outcomes in patients with acute myocardial infarction (AMI). METHODS Using the National Inpatient Sample, adjusted binary logistic regression determined the association between OA and each outcome variable. RESULTS Of 6,561,940 AMI hospitalizations, 6.3% had OA. OA patients were older and more likely to be female. OA was associated with a decreased odds of coronary angiography (adjusted odds ratio 0.91; 95% confidence interval 0.90, 0.92), PCI (0.87; 0.87, 0.88), and coronary artery bypass grafting (0.98; 0.97, 1.00). OA was associated with a decreased odds of adverse outcomes (in-hospital mortality: 0.68; 0.67, 0.69; major acute cardiovascular and cerebrovascular events: 0.71; 0.70, 0.72; all-cause bleeding: 0.76; 0.74, 0.77; and stroke/TIA: 0.84; 0.82, 0.87). CONCLUSIONS This study of a representative sample of the US population highlights that OA patients are less likely to be offered invasive interventions following AMI. OA was also associated with better outcomes post-AMI, possibly attributed to a misclassification bias where unwell patients with OA were less likely to receive an OA code because codes for serious illness took precedence.
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Affiliation(s)
- Simran Singh Parmar
- Renal and Transplantation Unit, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Mohamed O Mohamed
- Keele Cardiovascular Research Group, Keele University, Staffordshire, UK
| | - Mamas A Mamas
- Keele Cardiovascular Research Group, Keele University, Staffordshire, UK
| | - Ross Wilkie
- School of Medicine, Keele University, Staffordshire, UK
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Park DH, Goo SY, Hong SH, Min JH, Byeon JY, Lee MK, Lee HD, Ahn BW, Kimm H, Jee SH, Lee DH, Lee YH, Kang ES, Jeon JY. Prognostic value of resting heart rate in predicting undiagnosed diabetes in adults: Korean National Health and Nutrition Examination Survey 2008-2018. Nutr Metab Cardiovasc Dis 2023; 33:141-150. [PMID: 37074077 DOI: 10.1016/j.numecd.2022.09.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 09/16/2022] [Accepted: 09/21/2022] [Indexed: 10/14/2022]
Abstract
BACKGROUND AND AIM Although resting heart rate (RHR) is associated with prevalence and incidence of diabetes, whether it is associated with undiagnosed diabetes is still unclear. We aimed to investigate whether the RHR is associated with the prevalence of undiagnosed diabetes in a large Korean national dataset. METHODS AND RESULTS The Korean National Health and Nutrition Examination Survey data from 2008 to 2018 were used. After screening, 51,637 participants were included in this study. The odds ratios and 95% confidence intervals (CIs) for undiagnosed diabetes were calculated using multivariable-adjusted logistic regression analyses. Analyses showed that participants with a RHR of ≥90 bpm showed a 4.00- (95% CI: 2.77-5.77) and 3.21-times (95% CI: 2.01-5.14) higher prevalence of undiagnosed diabetes for men and women, respectively, than those with a RHR of <60 bpm. The linear dose-response analyses showed that each 10-bpm increment in RHR was associated with a 1.39- (95% CI: 1.32-1.48) and 1.28-times (95% CI: 1.19-1.37) higher prevalence of undiagnosed diabetes for men and women, respectively. In the stratified analyses, the positive association between RHR and the prevalence of undiagnosed diabetes was tended to be stronger among those who were younger (age: <40 years) and lean (BMI: <23 kg/m2). CONCLUSIONS Elevated RHR was significantly associated with a higher prevalence of undiagnosed diabetes in Korean men and women, independent of demographic, lifestyle, and medical factors. Accordingly, the value of RHR as a clinical indicator and health marker, especially in reducing the prevalence of undiagnosed diabetes, is suggestible.
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Affiliation(s)
- Dong-Hyuk Park
- Department of Sport Industry Studies, Yonsei University, Seoul, South Korea; Exercise Medicine Center for Diabetes and Cancer Patients, ICONS, Yonsei University, Seoul, South Korea
| | - Seon Young Goo
- Department of Sport Industry Studies, Yonsei University, Seoul, South Korea
| | - Sung Hyun Hong
- Department of Sport Industry Studies, Yonsei University, Seoul, South Korea
| | - Ji-Hee Min
- Department of Convergence Medicine, Yonsei University Wonju College of Medicine, Wonju, South Korea
| | - Ji Yong Byeon
- Department of Sport Industry Studies, Yonsei University, Seoul, South Korea
| | - Mi-Kyung Lee
- Department of Sport Industry Studies, Yonsei University, Seoul, South Korea; Frontier Research Institute of Convergence Sports Science, FRICSS, Yonsei University, Seoul, South Korea
| | - Hae Dong Lee
- Frontier Research Institute of Convergence Sports Science, FRICSS, Yonsei University, Seoul, South Korea; Department of Physical Education, Yonsei University, Seoul, South Korea
| | - Byoung Wook Ahn
- Leisure Marine Sports, Hanseo University, Chungcheongnam-do, South Korea
| | - Heejin Kimm
- Graduate School of Public Health, Institute for Health Promotion, Yonsei University, Seoul, South Korea
| | - Sun Ha Jee
- Graduate School of Public Health, Institute for Health Promotion, Yonsei University, Seoul, South Korea
| | - Dong Hoon Lee
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yong-Ho Lee
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Eun Seok Kang
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Justin Y Jeon
- Department of Sport Industry Studies, Yonsei University, Seoul, South Korea; Exercise Medicine Center for Diabetes and Cancer Patients, ICONS, Yonsei University, Seoul, South Korea; Frontier Research Institute of Convergence Sports Science, FRICSS, Yonsei University, Seoul, South Korea.
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Jang HN, Moon MK, Koo BK. Prevalence of Diabetic Retinopathy in Undiagnosed Diabetic Patients: A Nationwide Population-Based Study. Diabetes Metab J 2022; 46:620-629. [PMID: 35193173 PMCID: PMC9353559 DOI: 10.4093/dmj.2021.0099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Accepted: 09/29/2021] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND We investigated the prevalence of diabetic retinopathy (DR) in patients with undiagnosed diabetes through a nationwide survey, compared to those with known diabetes. METHODS Among the participants of the Korean National Health and Nutrition Examination Surveys (KNHANES) from 2017 to 2018, individuals aged ≥40 years with diabetes and fundus exam results were enrolled. Sampling weights were applied to represent the entire Korean population. Newly detected diabetes patients through KNHANES were classified under "undiagnosed diabetes." RESULTS Among a total of 9,108 participants aged ≥40 years, 951 were selected for analysis. Of them, 31.3% (standard error, ±2.0%) were classified under "undiagnosed diabetes." The prevalence of DR in patients with known and undiagnosed diabetes was 24.5%±2.0% and 10.7%±2.2%, respectively (P<0.001). The DR prevalence increased with rising glycosylated hemoglobin (HbA1c) levels in patients with known and undiagnosed diabetes (P for trend=0.001 in both). Among those with undiagnosed diabetes, the prevalence of DR was 6.9%±2.1%, 8.0%±3.4%, 5.6%±5.7%, 16.7%±9.4%, and 42.6%±14.8% for HbA1c levels of <7.0%, 7.0%-7.9%, 8.0%-8.9%, 9.0%-9.9%, and ≥10.0% respectively. There was no difference in the prevalence of hypertension, dyslipidemia, hypertriglyceridemia, or obesity according to the presence or absence of DR. CONCLUSION About one-third of patients with diabetes were unaware of their diabetes, and 10% of them have already developed DR. Considering increasing the prevalence of DR according to HbA1c level was found in patients with undiagnosed diabetes like those with known diabetes, screening and early detection of diabetes and DR are important.
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Affiliation(s)
- Han Na Jang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Min Kyong Moon
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Korea
| | - Bo Kyung Koo
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Korea
- Corresponding author: Bo Kyung Koo https://orcid.org/0000-0002-6489-2656 Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, 20 Boramae-ro 5-gil, Dongjak-gu, Seoul 07061, Korea E-mail:
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Wibmer AG, Dinh PC, Travis LB, Chen C, Bromberg M, Zheng J, Capanu M, Sesso HD, Feldman DR, Vargas HA. Associations of Body Fat Distribution and Cardiometabolic Risk of Testicular Cancer Survivors after Cisplatin-Based Chemotherapy. JNCI Cancer Spectr 2022; 6:6585341. [PMID: 35801305 PMCID: PMC9263534 DOI: 10.1093/jncics/pkac030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 01/18/2022] [Accepted: 01/26/2022] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
It is unknown how body fat distribution modulates the cardiometabolic risk of testicular cancer survivors (TCSs) after cisplatin-based chemotherapy.
Methods
For 455 patients enrolled in The Platinum Study at Memorial Sloan Kettering Cancer Center, visceral (VAT) and subcutaneous (SAT) adipose tissue was quantified on pre-chemotherapy CT. VAT/SAT ratio was calculated as a quantitative measure of central adiposity. Endpoints were incidence of new post-chemotherapy cardiometabolic disease (new antihypertensive, lipid-lowering, or diabetes medication), and post-chemotherapy Framingham risk scores. Cox models and linear regression with interaction terms were applied. Post-chemotherapy body fat distribution was analyzed in 108 patients. All statistical tests were 2-sided.
Results
Baseline median age was 31 years (IQR = 26, 39), BMI 26 kg/m2 (IQR: 24, 29), and VAT/SAT ratio 0.49 (IQR: 0.31, 0.75). Median follow-up was 26 months (IQR: 16, 59). Higher pre-chemotherapy VAT/SAT ratios inferred a higher likelihood of new cardiometabolic disease among patients with BMI ≥30 kg/m2 (age-adjusted HR = 3.14, 95% CI = 1.02–9.71, p = 0.047), but not other BMI groups. Pre-chemotherapy VAT/SAT ratio was associated with post-chemotherapy Framingham risk scores in univariate regression analysis (exp(β)-estimate: 2.10, 95% CI: 1.84, 2.39, p < 0.001); in a multivariate model, this association was stronger in younger versus older individuals. BMI increased in most patients after chemotherapy and correlated with increases in VAT/SAT (Spearman r = 0.39; p < 0.001).
Conclusions
In TCSs, central adiposity is associated with increased cardiometabolic risk after cisplatin-based chemotherapy, particularly in obese or young men. Weight gain after chemotherapy occurs preferentially in the visceral compartment, providing insight into the pathogenesis of cardiovascular disease in this population.
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Affiliation(s)
- Andreas G Wibmer
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Paul C Dinh
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Lois B Travis
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
- Department of Epidemiology, Fairbanks School of Public Health, Indiana University, USA
| | - Carol Chen
- Department of Medicine, Cardiology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Maria Bromberg
- Department of Medicine, Genitourinary Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Junting Zheng
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marinela Capanu
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Howard D Sesso
- Brigham and Women's Hospital, Department of Medicine, Boston, MA, USA
| | - Darren R Feldman
- Department of Medicine, Genitourinary Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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Park DH, Cho W, Lee YH, Jee SH, Jeon JY. The predicting value of resting heart rate to identify undiagnosed diabetes in Korean adult: Korea National Health and Nutrition Examination Survey. Epidemiol Health 2022; 44:e2022009. [PMID: 34990528 PMCID: PMC9117096 DOI: 10.4178/epih.e2022009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 12/27/2021] [Indexed: 11/11/2022] Open
Abstract
OBJECTIVES The purpose of this study was (1) to examine whether the addition of resting heart rate (RHR) to the existing undiagnosed diabetes mellitus (UnDM) prediction model would improve predictability, and (2) to develop and validate UnDM prediction models by using only easily assessable variables such as gender, RHR, age, and waist circumference (WC). METHODS Korea National Health and Nutrition Examination Survey (KNHANES) 2010, 2012, 2014, 2016 data were used to develop the model (model building set, n=19,675), while the data from 2011, 2013, 2015, 2017 were used to validate the model (validation set, n=19,917). UnDM was defined as a fasting glucose level ≥126 mg/dL or glycated hemoglobin ≥6.5%; however, doctors have not diagnosed it. Statistical package for the social sciences logistic regression analysis was used to determine the predictors of UnDM. RESULTS RHR, age, and WC were associated with UnDM. When RHR was added to the existing model, sensitivity was reduced (86 vs. 73%), specificity was increased (49 vs. 65%), and a higher Youden index (35 vs. 38) was expressed. When only gender, RHR, age, and WC were used in the model, a sensitivity, specificity, and Youden index of 70%, 67%, and 37, respectively, were observed. CONCLUSIONS Adding RHR to the existing UnDM prediction model improved specificity and the Youden index. Furthermore, when the prediction model only used gender, RHR, age, and WC, the outcomes were not inferior to those of the existing prediction model.
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Affiliation(s)
- Dong-Hyuk Park
- Department of Sports industry, Yonsei University, Seoul , Korea.,Exercise Medicine Center for Diabetes and Cancer Patients, ICONS, Seoul, Korea
| | - Wonhee Cho
- Department of Sports industry, Yonsei University, Seoul , Korea
| | - Yong-Ho Lee
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Sun Ha Jee
- Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Justin Y Jeon
- Department of Sports industry, Yonsei University, Seoul , Korea.,Exercise Medicine Center for Diabetes and Cancer Patients, ICONS, Seoul, Korea
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Association between high-sensitivity C-reactive protein levels and depression: Moderation by age, sex, obesity, and aerobic physical activity. J Affect Disord 2021; 291:375-383. [PMID: 34091325 DOI: 10.1016/j.jad.2021.05.040] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 05/08/2021] [Accepted: 05/23/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND Low-grade systemic inflammation evidenced by elevated serum high-sensitivity C-reactive protein (hsCRP) levels can be a biomarker for depression. This study aimed to investigate the association between serum hsCRP levels and depressive symptoms and to explore the potential moderating effects of age, sex, body mass index (BMI), and aerobic physical activity on the association. METHODS Data of 10,702 adults (≥ 19 years) were obtained from the nationwide cross-sectional Korea National Health and Nutrition Examination Surveys of 2016 and 2018. Significant depressive symptoms were defined as ≥ 10 on the Patient Health Questionnaire-9, and high hsCRP level was defined as > 3.0 mg/L. RESULTS Adults with high hsCRP levels were more likely to have depressive symptoms (odds ratio [OR]: 1.41, 95% confidence interval [CI]: 1.07-1.84) and suicidal ideation (OR: 1.39, 95% CI: 1.07-1.80) than those with low hsCRP levels. In the age- and sex-stratified analysis, high hsCRP levels were associated with depressive symptoms in the non-geriatric population (age ≤ 64 years) alone, with a higher OR in males than females. In subgroup analyses, the association between them was observed only among obese adults and adults without aerobic physical activity. LIMITATIONS Causal interpretation is limited due to the cross-sectional design. CONCLUSIONS Our results replicate previous findings of an association between high hsCRP levels and depressive symptoms in adults using a large nationally representative sample. The association between them was more prominent in the non-geriatric population, males, obese adults, and those without aerobic physical activity.
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Drobek N, Sowa P, Jankowski P, Haberka M, Gąsior Z, Kosior D, Czarnecka D, Pająk A, Szostak-Janiak K, Krzykwa A, Setny M, Kozieł P, Paniczko M, Jamiołkowski J, Kowalska I, Kamiński K. Undiagnosed Diabetes and Prediabetes in Patients with Chronic Coronary Syndromes-An Alarming Public Health Issue. J Clin Med 2021; 10:1981. [PMID: 34063006 PMCID: PMC8124594 DOI: 10.3390/jcm10091981] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 04/20/2021] [Accepted: 04/26/2021] [Indexed: 01/08/2023] Open
Abstract
Dysglycemia is a public health challenge for the coming decades, especially in patients with chronic coronary syndromes (CCS). We want to assess the prevalence of undiagnosed diabetes mellitus (DM) and prediabetes, as well as identify factors associated with the development of dysglycaemia in patients with CCS. In total, 1233 study participants (mean age 69 ± 9 years), who, between 6 and 18 months earlier were hospitalized for acute coronary syndrome or elective revascularization, were examined (71.4% men). The diagnosis of DM, impaired fasting glucose (IFG), impaired glucose tolerance (IGT) have been made according to World Health Organization (WHO) criteria. Based on the oral glucose tolerance test (OGTT) results, DM has been newly diagnosed in 28 (5.1%, mean age 69.9 ± 8.4 years) patients, 75% were male (n = 21). Prediabetes has been observed in 395 (72.3%) cases. IFG was found in 234 (42.9%) subjects, 161 (29.5%) individuals had IGT. According to multinomial logistic regression, body mass index (BMI) and high-density lipoprotein cholesterol (HDL-C) should be considered when assessing risk of development of dysglycaemia after discharge from the hospital. Among people with previously diagnosed DM, a significantly higher percentage were willing to change their lifestyles after the index event compared to other patients. Patients with chronic coronary syndromes suffer a very high frequency of dysglycaemia. Most patients with chronic coronary syndromes, especially those with high BMI or low HDL-C, should be considered for screening for dysglycemia using OGTT within the first year after hospitalization. A higher percentage of patients who were aware of their diabetic status changed their lifestyles, which added the benefit of timely diagnosis and treatment of diabetes.
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Affiliation(s)
- Natalia Drobek
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-089 Białystok, Poland; (N.D.); (P.S.); (M.P.); (J.J.)
- Department of Cardiology, University Hospital of Bialystok, 15-276 Białystok, Poland
| | - Paweł Sowa
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-089 Białystok, Poland; (N.D.); (P.S.); (M.P.); (J.J.)
| | - Piotr Jankowski
- Polish Mother’s Memorial Hospital Research Institute, 93-338 Łódź, Poland;
- Institute of Cardiology, Jagiellonian University Medical College, 31-008 Kraków, Poland; (D.C.); (P.K.)
| | - Maciej Haberka
- Department of Cardiology, School of Health Sciences, Medical University of Silesia, 40-055 Katowice, Poland; (M.H.); (Z.G.); (K.S.-J.)
| | - Zbigniew Gąsior
- Department of Cardiology, School of Health Sciences, Medical University of Silesia, 40-055 Katowice, Poland; (M.H.); (Z.G.); (K.S.-J.)
| | - Dariusz Kosior
- Mossakowski Medical Research Centre, Polish Academy of Sciences, 01-224 Warsaw, Poland;
- Department of Cardiology and Hypertension with the Electrophysiological Lab, Central Clinical Hospital the Ministry of the Interior and Administration, 00-124 Warsaw, Poland; (A.K.); (M.S.)
| | - Danuta Czarnecka
- Institute of Cardiology, Jagiellonian University Medical College, 31-008 Kraków, Poland; (D.C.); (P.K.)
| | - Andrzej Pająk
- Department of Clinical Epidemiology and Population Studies, Institute of Public Health, Jagiellonian University Medical College, 31-008 Krakow, Poland;
| | - Karolina Szostak-Janiak
- Department of Cardiology, School of Health Sciences, Medical University of Silesia, 40-055 Katowice, Poland; (M.H.); (Z.G.); (K.S.-J.)
| | - Agnieszka Krzykwa
- Department of Cardiology and Hypertension with the Electrophysiological Lab, Central Clinical Hospital the Ministry of the Interior and Administration, 00-124 Warsaw, Poland; (A.K.); (M.S.)
| | - Małgorzata Setny
- Department of Cardiology and Hypertension with the Electrophysiological Lab, Central Clinical Hospital the Ministry of the Interior and Administration, 00-124 Warsaw, Poland; (A.K.); (M.S.)
| | - Paweł Kozieł
- Institute of Cardiology, Jagiellonian University Medical College, 31-008 Kraków, Poland; (D.C.); (P.K.)
| | - Marlena Paniczko
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-089 Białystok, Poland; (N.D.); (P.S.); (M.P.); (J.J.)
| | - Jacek Jamiołkowski
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-089 Białystok, Poland; (N.D.); (P.S.); (M.P.); (J.J.)
| | - Irina Kowalska
- Department of Internal Medicine and Metabolic Diseases, Medical University of Białystok, 15-089 Białystok, Poland;
| | - Karol Kamiński
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-089 Białystok, Poland; (N.D.); (P.S.); (M.P.); (J.J.)
- Department of Cardiology, University Hospital of Bialystok, 15-276 Białystok, Poland
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Rajagopalan S, Pronovost P, Neeland IJ. Eliminating Missed Opportunities for Patients with Type 2 Diabetes. Trends Endocrinol Metab 2021; 32:257-259. [PMID: 33653621 DOI: 10.1016/j.tem.2021.02.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 02/08/2021] [Indexed: 01/03/2023]
Abstract
Deficiencies in the care of patients with diabetes are the norm rather than the exception. We propose a reframing of diabetes care quality, which encompasses four key principles ('the 4 BEs') that together can help address deficiencies in the care of the patient with Type 2 diabetes (T2D) and eliminate these missed opportunities.
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Affiliation(s)
- Sanjay Rajagopalan
- Harrington Heart and Vascular Institute, University Hospital Cleveland Medical Center, Cleveland, OH 44106, USA; University Hospitals Health System, University Hospital Cleveland Medical Center, Cleveland, OH 44106, USA
| | - Peter Pronovost
- University Hospitals Health System, University Hospital Cleveland Medical Center, Cleveland, OH 44106, USA
| | - Ian J Neeland
- Harrington Heart and Vascular Institute, University Hospital Cleveland Medical Center, Cleveland, OH 44106, USA; University Hospitals Health System, University Hospital Cleveland Medical Center, Cleveland, OH 44106, USA.
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Risk Factors of Undiagnosed Diabetes Mellitus among Korean Adults: A National Cross-Sectional Study Using the KNHANES Data. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18031195. [PMID: 33572855 PMCID: PMC7908078 DOI: 10.3390/ijerph18031195] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Revised: 01/22/2021] [Accepted: 01/23/2021] [Indexed: 11/17/2022]
Abstract
In this cross-sectional study, we investigated the baseline risk factors of diabetes mellitus (DM) in patients with undiagnosed DM (UDM). We utilized the Korean National Health and Nutrition Examination Survey (KNHANES) 2010–2017 data. Data regarding the participants’ demographic characteristics, health status, health determinants, healthcare accessibility, and laboratory tests were gathered to explore the differences between the DM, UDM, and without-DM groups. Among the 64,759 individuals who participated in the KNHANES 2010–2017, 32,611 individuals aged ≥20 years with fasting plasma glucose levels of <100 or ≥126 mg/dL were selected. The odds ratios (ORs) regarding family history of diabetes and the performance of national health and cancer screening tests were lower in the UDM group than in the DM group (adjusted OR: 0.54; 95% confidence interval (CI): 0.43, 0.66; adjusted OR: 0.74; 95% CI: 0.62, 0.89; adjusted OR: 0.71; 95% CI: 0.60, 0.85). The ORs of hypertension and obesity were higher in the UDM group than in the DM group (adjusted OR: 1.32; 95% CI: 1.06, 1.64; adjusted OR: 1.80; 95% CI: 1.37, 2.36, respectively). Patients with UDM were more likely to be exposed to DM-related risk factors than those with and without DM. Public health interventions to prevent UDM development are necessary.
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Du Y, Baumert J, Paprott R, Teti A, Heidemann C, Scheidt-Nave C. Factors associated with undiagnosed type 2 diabetes in Germany: results from German Health Interview and Examination Survey for Adults 2008-2011. BMJ Open Diabetes Res Care 2020; 8:e001707. [PMID: 33067247 PMCID: PMC7569997 DOI: 10.1136/bmjdrc-2020-001707] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 09/01/2020] [Accepted: 09/05/2020] [Indexed: 01/09/2023] Open
Abstract
INTRODUCTION To identify characteristics of people with undiagnosed type 2 diabetes (T2D) among adults in Germany. RESEARCH DESIGN AND METHODS The study population comprised participants aged 40-79 years of the German Health Interview and Examination Survey for Adults 2008-2011. Glycemic status was categorized as undiagnosed T2D (glycated hemoglobin A1c (HbA1c) ≥48 mmol/mol (6.5%), n=135), diagnosed T2D (n=518) and normoglycemia (HbA1c<48 mmol/mol (6.5%), n=4451). Multinomial logistic regression models including glycemic status as the outcome variable and sociodemographic characteristics, living alone, diabetes risk factors and healthcare services utilization as independent variables were used to identify factors associated with undiagnosed T2D compared with normoglycemia and diagnosed T2D. Odds ratios (ORs) and 95% confidence intervals (CIs) are reported as measure of association between the outcome and independent variables. RESULTS The prevalence of undiagnosed T2D was 2.9% (95% CI 2.2% to 3.9%) at an overall prevalence of 12.3% (11.0% to 13.6%) of persons with undiagnosed or diagnosed T2D. In multivariable analyses, factors associated with undiagnosed as well as diagnosed T2D in comparison to normoglycemia were older age (OR 1.04, 95% CI 1.01 to 1.06, per year, for undiagnosed T2D; OR 1.08, 1.07 to 1.10 for diagnosed T2D), male sex (3.33, 2.18 to 5.07; 1.91, 1.43 to 2.56), obesity (3.47, 2.17 to 5.56; 2.68, 2.04 to 3.52), hypertension (1.66, 1.09 to 2.53; 2.04, 1.42 to 2.95) and parental history of diabetes (2.04, 1.24 to 3.35; 3.16, 2.30 to 4.34). Variables independently associated with undiagnosed T2D but not diagnosed T2D included living alone (2.20; 1.36 to 3.56) and not seeing a doctor within the past year (2.57; 1.34 to 4.93). People with undiagnosed T2D were further younger and more likely to be male sex and reside in the western part of Germany than people with diagnosed T2D. CONCLUSION Apart from major known risk factors of diabetes, characteristics specific to undiagnosed diabetes among adults in Germany will serve to inform the national education and communication strategy on diabetes mellitus in Germany.
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Affiliation(s)
- Yong Du
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Jens Baumert
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Rebecca Paprott
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Andrea Teti
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
- Institute for Gerontology, University of Vechta, Vechta, Lower Saxony, Germany
| | - Christin Heidemann
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Christa Scheidt-Nave
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
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Zhang H, Qi D, Gu H, Wang T, Wu Y, Li J, Ni J, Liu J, Tu J, Ning X, Wang J. Trends in the prevalence, awareness, treatment and control of diabetes in rural areas of northern China from 1992 to 2011. J Diabetes Investig 2020; 11:241-249. [PMID: 31172682 PMCID: PMC6944834 DOI: 10.1111/jdi.13095] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Revised: 05/27/2019] [Accepted: 06/04/2019] [Indexed: 01/06/2023] Open
Abstract
AIMS/INTRODUCTION The worldwide prevalence of diabetes mellitus has been increasing over the past decades, particularly in developing countries. Because of the lack of information regarding changes in diabetes mellitus prevalence, awareness, treatment and control in rural China, we assessed these trends - overall and in the context of related health conditions - to explore the impact of these primary health issues on these rates in a poorly educated, rural population. MATERIALS AND METHODS Diabetes mellitus prevalence, awareness, treatment and control rates were compared between two surveys carried out in 1992 and 2011. The residents of three villages, aged 35-64 years, were recruited for this study. RESULTS In 1992, 1,091 individuals were interviewed and, in 2011, 2,338 individuals were interviewed. Between the two surveys, the overall diabetes mellitus prevalence in the study population was lower in 1992 than that in 2011 (P < 0.001); among men, the prevalence was 5.2-fold higher in 2011 than in 1992 (10.5 vs 1.7%) and nearly 4.3-fold higher (11.2 vs 2.1%) among women. Men aged 35-44 years, with >6 years of education, stage I hypertension and being overweight, had a higher prevalence of diabetes mellitus in 2011 than in 1992. Similarly, for the same time periods, there was also a higher diabetes mellitus prevalence among women aged 55-64 years, with 1-6 years of education, stage III hypertension and who were overweight. However, there were no significant changes in diabetes mellitus awareness, treatment or control in this population. CONCLUSIONS These results suggest that particular efforts must be made to enhance diabetes mellitus prevention, control and public awareness in rural communities in China.
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Affiliation(s)
- Hongyan Zhang
- Department of Endocrinology and MetabolismTianjin Medical University General HospitalTianjinChina
| | - Dongwang Qi
- Department of Endocrinology and MetabolismTianjin Medical University General HospitalTianjinChina
| | - Hongfei Gu
- Department of NeurologyTianjin Haibin People's HospitalTianjinChina
| | - Tao Wang
- Department of NeurologyTianjin Haibin People's HospitalTianjinChina
| | - Yanan Wu
- Department of NeurologyTianjin Medical University General HospitalTianjinChina
- Laboratory of EpidemiologyTianjin Neurological InstituteTianjinChina
- Key Laboratory of Post‐Neuroinjury Neuro‐Repair and Regeneration in Central Nervous SystemTianjin Neurological InstituteMinistry of Education and Tianjin CityTianjinChina
| | - Jingyan Li
- Department of Endocrinology and MetabolismTianjin Medical University General HospitalTianjinChina
| | - Jingxian Ni
- Department of NeurologyTianjin Medical University General HospitalTianjinChina
- Laboratory of EpidemiologyTianjin Neurological InstituteTianjinChina
- Key Laboratory of Post‐Neuroinjury Neuro‐Repair and Regeneration in Central Nervous SystemTianjin Neurological InstituteMinistry of Education and Tianjin CityTianjinChina
| | - Jie Liu
- Department of NeurologyTianjin Medical University General HospitalTianjinChina
- Laboratory of EpidemiologyTianjin Neurological InstituteTianjinChina
- Key Laboratory of Post‐Neuroinjury Neuro‐Repair and Regeneration in Central Nervous SystemTianjin Neurological InstituteMinistry of Education and Tianjin CityTianjinChina
| | - Jun Tu
- Department of NeurologyTianjin Medical University General HospitalTianjinChina
- Laboratory of EpidemiologyTianjin Neurological InstituteTianjinChina
- Key Laboratory of Post‐Neuroinjury Neuro‐Repair and Regeneration in Central Nervous SystemTianjin Neurological InstituteMinistry of Education and Tianjin CityTianjinChina
| | - Xianjia Ning
- Department of NeurologyTianjin Medical University General HospitalTianjinChina
- Laboratory of EpidemiologyTianjin Neurological InstituteTianjinChina
- Key Laboratory of Post‐Neuroinjury Neuro‐Repair and Regeneration in Central Nervous SystemTianjin Neurological InstituteMinistry of Education and Tianjin CityTianjinChina
| | - Jinghua Wang
- Department of NeurologyTianjin Medical University General HospitalTianjinChina
- Laboratory of EpidemiologyTianjin Neurological InstituteTianjinChina
- Key Laboratory of Post‐Neuroinjury Neuro‐Repair and Regeneration in Central Nervous SystemTianjin Neurological InstituteMinistry of Education and Tianjin CityTianjinChina
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Lyu YS, Kim SY, Bae HY, Kim JH. Prevalence and Risk Factors for Undiagnosed Glucose Intolerance Status in Apparently Healthy Young Adults Aged <40 Years: The Korean National Health and Nutrition Examination Survey 2014-2017. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16132393. [PMID: 31284480 PMCID: PMC6651181 DOI: 10.3390/ijerph16132393] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 07/04/2019] [Accepted: 07/05/2019] [Indexed: 01/21/2023]
Abstract
Background: Early-onset diabetes results in longer lifetime hyperglycemic exposure that consequently leads to earlier chronic diabetes complications and premature death. The aim of this study was to quantify the prevalence and risk factors of undiagnosed diabetes and undiagnosed prediabetes in apparently healthy young adults aged <40 years. Methods: This study used data from the Korean National Health and Nutrition Examination Survey, a cross-sectional, nationally representative survey conducted by the Korean Ministry of Health and Welfare from 2014 to 2017. A total of 4442 apparently healthy young adults enrolled in this study. Multivariate logistic regression analyses were conducted separately to evaluate associated risk factors with undiagnosed diabetes and undiagnosed prediabetes in groups stratified by sex. Results: The prevalence of undiagnosed diabetes and undiagnosed prediabetes was 1.2% and 25.0%, respectively. Obesity (body mass index ≥ 30.0 kg/m2) was a significant risk factor of undiagnosed diabetes regardless of sex (men, odds ratio (OR): 9.808, 95% confidence interval (CI): 1.619–59.412; women, OR: 7.719, 95% CI: 1.332–44.747). Family history of diabetes was significantly associated with undiagnosed diabetes (OR: 3.407, 95% CI: 1.224–9.481) in women only. Increased age, obesity status, and family history of diabetes were significant risk factors for undiagnosed prediabetes. Alcohol consumption was found to be negatively associated with undiagnosed prediabetes in women. Conclusions: Increased attention and implementation of precise strategies for identifying young adults at high risk for undiagnosed diabetes would allow for increased wellbeing as well as reduced healthcare burdens associated with diabetes.
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Affiliation(s)
- Young Sang Lyu
- Department of Endocrinology and Metabolism, Chosun University Hospital, Gwangju 61453, Korea
| | - Sang Yong Kim
- Department of Endocrinology and Metabolism, Chosun University Hospital, Gwangju 61453, Korea
| | - Hak Yeon Bae
- Department of Endocrinology and Metabolism, Chosun University Hospital, Gwangju 61453, Korea
| | - Jin Hwa Kim
- Department of Endocrinology and Metabolism, Chosun University Hospital, Gwangju 61453, Korea.
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Diabetes risk assessment with imaging: a radiomics study of abdominal CT. Eur Radiol 2018; 29:2233-2242. [DOI: 10.1007/s00330-018-5865-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Revised: 10/09/2018] [Accepted: 10/25/2018] [Indexed: 12/21/2022]
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Yim J, Kim G, Lee BW, Kang ES, Cha BS, Kim JH, Cho JW, Lee SG, Lee YH. Relationship Between Circulating Netrin-1 Concentration, Impaired Fasting Glucose, and Newly Diagnosed Type 2 Diabetes. Front Endocrinol (Lausanne) 2018; 9:691. [PMID: 30532735 PMCID: PMC6265472 DOI: 10.3389/fendo.2018.00691] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Accepted: 11/02/2018] [Indexed: 01/22/2023] Open
Abstract
Background: The protein netrin-1 has demonstrated anti-inflammatory, tissue regeneration, and immune modulation properties. Although inflammation is a major contributing factor in the development of insulin resistance and type 2 diabetes, little is known about a possible relationship between serum netrin-1 and type 2 diabetes. Therefore, we investigated the association between circulating levels of netrin-1 and glycometabolic parameters predictive of type 2 diabetes. Methods: Serum samples were collected from 41 normal controls, 85 subjects with impaired fasting glucose (IFG), and 92 subjects with newly diagnosed type 2 diabetes. Clinical and laboratory parameters were assessed and netrin-1 levels were measured by commercial enzyme-linked immunosorbent assay. Spearman correlation analyses and multivariable-adjusted regression analyses were conducted to examine the relationship between serum netrin-1 levels and glycometabolic parameters. Results: Serum netrin-1 levels in subjects with type 2 diabetes or IFG were significantly higher compared to normal controls (441.0, 436.6, and 275.9 pg/mL, respectively; P for trend < 0.001). Serum netrin-1 levels were significantly positively correlated with fasting glucose, HbA1c, and insulin resistance index (all Ps < 0.01). Serum netrin-1 levels were independently associated with IFG or type 2 diabetes (standardized β = 0.405, P < 0.001) after adjusting for covariates and potential confounders. In addition, the receiver operating characteristic (ROC) analysis showed that serum netrin-1 levels could identify the presence of IFG and type 2 diabetes with the area under the ROC curve (AUC) of 0.784 (P < 0.001). Conclusions: Our results suggest that elevated serum netrin-1 levels are significantly associated with the presence of IFG and type 2 diabetes.
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Affiliation(s)
- Jisook Yim
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, South Korea
- Division of Special Chemistry, Green Cross Reference Laboratory, Yongin-si, South Korea
- Department of Laboratory Medicine, Veterans General Hospital, Incheon, South Korea
| | - Gyuri Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Byung-Wan Lee
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
- Institute of Endocrine Research, Yonsei University College of Medicine, Seoul, South Korea
| | - Eun Seok Kang
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
- Institute of Endocrine Research, Yonsei University College of Medicine, Seoul, South Korea
| | - Bong-Soo Cha
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
- Institute of Endocrine Research, Yonsei University College of Medicine, Seoul, South Korea
| | - Jeong-Ho Kim
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Jin Won Cho
- Department of Systems Biology, Glycosylation Network Research Center, Yonsei University, Seoul, South Korea
| | - Sang-Guk Lee
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, South Korea
- *Correspondence: Sang-Guk Lee
| | - Yong-ho Lee
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
- Institute of Endocrine Research, Yonsei University College of Medicine, Seoul, South Korea
- Department of Systems Biology, Glycosylation Network Research Center, Yonsei University, Seoul, South Korea
- Yong-ho Lee
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Ding L, Xu Y, Wang L, Xu M, Jiang Y, Zhang M, Li Y, Lu J, Wang T, Dai M, Zhang D, Wang W, Zhao W, Wang L, Bi Y, Ning G. The cardiometabolic risk profile of Chinese adults with diabetes: A nationwide cross-sectional survey. J Diabetes Complications 2017; 31:43-52. [PMID: 27838099 DOI: 10.1016/j.jdiacomp.2016.10.023] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Revised: 10/09/2016] [Accepted: 10/21/2016] [Indexed: 12/27/2022]
Abstract
AIMS We aimed to estimate the cardiometabolic risk profile of Chinese adults with diabetes. METHODS We conducted a nationally representative survey of 98,658 noninstitutionalized Chinese adults aged ≥18years using a complex, multistage, probability sampling design in 2010. Diabetes was defined in 12,607 participants according to the 2010 American Diabetes Association criteria. All estimates were weighted to represent the overall Chinese adults with diabetes. RESULTS Among Chinese adults with diabetes, the weighted prevalence estimates were 47.5% (95% confidence interval (CI): 46.4%-48.7%) for low fruit and vegetable intake, 20.3% (19.3%-21.2%) for low physical activity, 27.2% (26.2%-28.3%) for current smoking, 10.9% (10.3%-11.7%) for obesity, 52.2% (51.0%-53.3%) for systolic blood pressure (BP) ≥140mmHg, 46.8% (45.6%-47.9%) for low-density lipoprotein (LDL) cholesterol ≥100mg/dL, 36.4% (35.3%-37.5%) for hemoglobin A1c (HbA1c) ≥7.0% (53mmol/mol), and 69.5% (68.4%-70.6%) for metabolic syndrome. Proportions of Chinese patients with diabetes with 0, 1, 2, 3, and 4 cardiometabolic risk factors including current smoking, systolic BP ≥140mmHg, LDL cholesterol ≥100mg/dL, and HbA1c≥7.0% (53mmol/mol) were 13.4% (12.6%-14.2%), 32.9% (31.8%-33.9%), 35.0% (33.9%-36.1%), 16.2% (15.4%-17.0%), and 2.6% (2.3%-3.0%), respectively. CONCLUSIONS Cardiometabolic risk factors were highly prevalent among Chinese with diabetes. Effective interventions should be taken.
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Affiliation(s)
- Lin Ding
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Limin Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Min Xu
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yong Jiang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Mei Zhang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yichong Li
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jieli Lu
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Meng Dai
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Di Zhang
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Wenhua Zhao
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Linhong Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Yufang Bi
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China.
| | - Guang Ning
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
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Han E, Kim G, Hong N, Lee YH, Kim DW, Shin HJ, Lee BW, Kang ES, Lee IK, Cha BS. Association between dietary acid load and the risk of cardiovascular disease: nationwide surveys (KNHANES 2008-2011). Cardiovasc Diabetol 2016; 15:122. [PMID: 27565571 PMCID: PMC5002186 DOI: 10.1186/s12933-016-0436-z] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Accepted: 08/10/2016] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Acid-base imbalance has been reported to increase incidence of hypertension and diabetes. However, the association between diet-induced acid load and cardiovascular disease (CVD) risk in the general population has not been fully investigated. METHODS This was a population-based, retrospectively registered cross-sectional study using nationally representative samples of 11,601 subjects from the Korea National Health and Nutrition Examination Survey 2008-2011. Individual CVD risk was evaluated using atherosclerotic cardiovascular disease (ASCVD) risk equations according to 2013 ACC/AHA guideline assessment in subjects aged 40-79 without prior CVD. Acid-base status was assessed with both the potential renal acid load (PRAL) and the dietary acid load (DAL) scores derived from nutrient intake. RESULTS Individuals in the highest PRAL tertile had a significant increase in 10 year ASCVD risks (9.6 vs. 8.5 %, P < 0.01) and tended to belong to the high-risk (10 year risk >10 %) group compared to those in the lowest PRAL tertile (odds ratio [OR] 1.23, 95 % confidence interval [CI] 1.22-1.35). The association between higher PRAL score and high CVD risk was stronger in the middle-aged group. Furthermore, a multiple logistic regression analysis also demonstrated this association (OR 1.20 95 % CI 1.01-1.43). Subgroup analysis stratified obesity or exercise status; individuals in unhealthy condition with lower PRAL scores had comparable ASCVD risk to people in the higher PRAL group that were in favorable physical condition. In addition, elevated PRAL scores were associated with high ASCVD risk independent of obesity, exercise, and insulin resistance, but not sarcopenia. Similar trends were observed with DAL scores. CONCLUSION Diet-induced acid load was associated with increased risk of CVD, independent of obesity and insulin resistance.
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Affiliation(s)
- Eugene Han
- Division of Endocrinology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Graduate School, Yonsei University College of Medicine, Seoul, Korea
| | - Gyuri Kim
- Division of Endocrinology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Graduate School, Yonsei University College of Medicine, Seoul, Korea
| | - Namki Hong
- Division of Endocrinology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Graduate School, Yonsei University College of Medicine, Seoul, Korea
| | - Yong-ho Lee
- Division of Endocrinology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Institute of Endocrine Research, Yonsei University College of Medicine, Seoul, Korea
| | - Dong Woo Kim
- Department of Home Economics, Food and Nutrition, Korea National Open University, Seoul, Korea
| | - Hyun Joon Shin
- Department of Nutrition, Harvard School of Public Health, Boston, MA USA
- Department of Medicine, Baylor University Medical Center and Baylor Jack and Jane Hamilton Heart and Vascular Hospital, Dallas, TX USA
| | - Byung-Wan Lee
- Division of Endocrinology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Graduate School, Yonsei University College of Medicine, Seoul, Korea
- Institute of Endocrine Research, Yonsei University College of Medicine, Seoul, Korea
| | - Eun Seok Kang
- Division of Endocrinology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Graduate School, Yonsei University College of Medicine, Seoul, Korea
- Institute of Endocrine Research, Yonsei University College of Medicine, Seoul, Korea
| | - In-Kyu Lee
- Division of Endocrinology, Department of Internal Medicine, Kyungpook National University School of Medicine, Daegu, Korea
| | - Bong-Soo Cha
- Division of Endocrinology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Graduate School, Yonsei University College of Medicine, Seoul, Korea
- Institute of Endocrine Research, Yonsei University College of Medicine, Seoul, Korea
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Koo BK, Moon MK. Are We in the Same Risk of Diabetes Mellitus? Gender- and Age-Specific Epidemiology of Diabetes in 2001 to 2014 in the Korean Population. Diabetes Metab J 2016; 40:175-81. [PMID: 27273907 PMCID: PMC4929220 DOI: 10.4093/dmj.2016.40.3.175] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Accepted: 05/09/2016] [Indexed: 01/15/2023] Open
Abstract
In the early 2000s, the prevalence of diabetes in adults aged ≥30 years in Korea was about 9% to 10%, and it remained stable. However, a nationwide survey showed that this prevalence increased over the past few years. After age-standardization using the Korean population of the year 2010, the prevalence of diabetes in adults aged ≥30 years was 10.0% to 10.8% between 2001 and 2012, which increased to 12.5% in 2013 and 11.6% in 2014. During that period, there have been changes in the gender- and age-specific prevalence of diabetes in Korean adults. The prevalence of diabetes in the elderly population increased significantly, while this prevalence in young adults, especially in young women, did not change significantly. The contribution of each diabetic risk factor, such as obesity, β-cell dysfunction, sarcopenia, and socioeconomic status, in developing diabetes has also changed during that period in each gender and age group. For young women, obesity was the most important risk factor; by contrast, for elderly diabetic patients, sarcopenia was more important than obesity as a risk factor. Considering the economic burden of diabetes and its associated comorbidities, a public health policy targeting the major risk factors in each population might be more effective in preventing diabetes.
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Affiliation(s)
- Bo Kyung Koo
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Min Kyong Moon
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea.
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