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The association between metabolic syndrome and heart failure in middle-aged male and female: Korean population-based study of 2 million individuals
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Tae-Eun Kim, Hyeongsu Kim, JiDong Sung, Duk-Kyung Kim, Myoung-Soon Lee, Seong Woo Han, Hyun-Joong Kim, Sung Hea Kim, Kyu-Hyung Ryu
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Epidemiol Health. 2022;44:e2022078. Published online September 21, 2022
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DOI: https://doi.org/10.4178/epih.e2022078
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Abstract
OBJECTIVES Although an association is known to exist between metabolic syndrome (MetS) and heart failure (HF) risk, large longitudinal studies are limited. We investigated metabolic status as a risk factor for HF in middle-aged male and female and considered sex differences in various risk factors for HF using nationwide real-world data.
METHODS Data obtained from the Korean National Health Insurance Service from 2009 to 2016 were analyzed. A total of 2,151,597 middle-aged subjects (between 50 and 59 years old) were enrolled. Subjects were divided into 3 groups (normal, pre‐ MetS, and MetS). Cox proportional hazard models were used to estimate the association between MetS and incident HF after adjusting for clinical risk factors.
RESULTS At baseline, MetS existed in 23.77% of male and 10.58% of female. Pre-MetS and MetS increased the risk of HF: the hazard ratios of pre-MetS for incident HF were 1.508 (95% confidence interval [CI], 1.287 to 1.767) in male and 1.395 (95% CI, 1.158 to 1.681) in female, and those of MetS were 1.711 (95% CI, 1.433 to 2.044) in male and 2.144 (95% CI, 1.674 to 2.747) in female. Current smoking, a low hemoglobin level, underweight (body mass index < 18.5 kg/m2), a high creatinine level, and acute myocardial infarction were also predictors of HF in both sexes.
CONCLUSIONS Pre-MetS and MetS were identified as risk factors for HF in middle-aged male and female. The effect of MetS on the occurrence of HF was stronger in female than in male. Pre-MetS was also a predictor of HF, but was associated with a lower risk than MetS.
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- Integrating machine learning and nontargeted plasma lipidomics to explore lipid characteristics of premetabolic syndrome and metabolic syndrome
Xinfeng Huang, Qing He, Haiping Hu, Huanhuan Shi, Xiaoyang Zhang, Youqiong Xu Frontiers in Endocrinology.2024;[Epub] CrossRef - Association between metabolic syndrome and kidney cancer risk: a prospective cohort study
Lin Wang, Han Du, Chao Sheng, Hongji Dai, Kexin Chen Lipids in Health and Disease.2024;[Epub] CrossRef - The Impact of Metabolic Syndrome on Heart Failure in Young Korean Population: A Nationwide Study
Tae-Eun Kim, Do Young Kim, Hyeongsu Kim, Jidong Sung, Duk-Kyung Kim, Myoung-Soon Lee, Seong Woo Han, Hyun-Joong Kim, Hyun Kyun Ki, Sung Hea Kim, Kyu-Hyung Ryu Metabolites.2024; 14(9): 485. CrossRef - Do Sex and Gender-Related Differences Account to Different Risk of Developing Heart Failure in Middle-Aged People with Metabolic Syndrome?
Stefano Bonapace, Alessandro Mantovani Metabolites.2024; 14(10): 528. CrossRef - Sex and Age Differences in the Impact of Metabolic Syndrome on Heart Failure Development
Tae-Eun Kim, Do Young Kim, Hyeongsu Kim, Sung Hea Kim Metabolites.2024; 14(12): 653. CrossRef - 17-year follow-up of association between telomere length and all-cause mortality, cardiovascular mortality in individuals with metabolic syndrome: results from the NHANES database prospective cohort study
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W. M. Lozano, J. E. Ortiz-Guzmán, O. Arias-Mutis, A. Bizy, P. Genovés, L. Such-Miquel, A. Alberola, F. J. Chorro, M. Zarzoso, C. J. Calvo Interface Focus.2023;[Epub] CrossRef - Different Impact of Metabolic Syndrome on the Risk of Incidence of the Peripheral Artery Disease and the Venous Thromboembolism: A Nationwide Longitudinal Cohort Study in South Korea
Myung Soo Park, Jong Sun Ok, JiDong Sung, Duk-Kyung Kim, Seong Woo Han, Tae-Eun Kim, Bum Sung Kim, Hyun-Joong Kim, Sung Hea Kim, Hyeongsu Kim Reviews in Cardiovascular Medicine.2023;[Epub] CrossRef
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Adiponectin is Associated with Impaired Fasting Glucose in the Non-Diabetic Population
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Sang Yeun Kim, Sun Ju Lee, Hyoun Kyoung Park, Ji Eun Yun, Myoungsook Lee, Jidong Sung, Sun Ha Jee
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Epidemiol Health. 2011;33:e2011007. Published online August 20, 2011
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DOI: https://doi.org/10.4178/epih/e2011007
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19,980
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<sec><title>OBJECTIVES</title><p>Adiponectin is strongly associated with diabetes in the Western population. However, whether adiponectin is independently associated with impaired fasting glucose (IFG) in the non-obese population is unknown.</p></sec><sec><title>METHODS</title><p>The serum adiponectin, insulin resistance (IR), and waist circumference (WC) of 27,549 healthy Koreans were measured. Individuals were then classified into tertile groups by gender. IFG was defined as a fasting serum glucose of 100-125 mg/dL without diabetes. IR was calculated using the homeostasis model assessment of insulin resistance (HOMA-IR). The association of adiponectin and IFG was determined using logistic regression analysis.</p></sec><sec><title>RESULTS</title><p>WC and adiponectin were associated with IFG in both men and women. However, the association of WC with IFG was attenuated in both men and women after adjustment for the HOMA-IR. Adiponectin was still associated with IFG after adjustment for and stratification by HOMA-IR in men and women. Strong combined associations of IR and adiponectin with IFG were observed in men and women. Multivariate adjusted odds ratios (ORs) (95% confidence interval [CI]) among those in the highest tertile of IR and the lowest tertile of adiponectin were 9.8 (7.96 to 12.07) for men and 24.1 (13.86 to 41.94) for women.</p></sec><sec><title>CONCLUSION</title><p>These results suggest that adiponectin is strongly associated with IFG, and point to adiponectin as an additional diagnostic biomarker of IFG in the non-diabetic population.</p></sec>
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- Determination of risk factors associated with inflammation in hypertensive patients with type-2 diabetes mellitus in a Palestinian Diabetes Study
Mohammed S. Ellulu, Ihab A. Naser, Sahar M. Abuhajar, Ahmed A. Najim Current Medical Research and Opinion.2021; 37(9): 1451. CrossRef - Insulin and Proinsulin Dynamics Progressively Deteriorate From Within the Normal Range Toward Impaired Glucose Tolerance
Norimitsu Murai, Naoko Saito, Eriko Kodama, Tatsuya Iida, Kentaro Mikura, Hideyuki Imai, Mariko Kaji, Mai Hashizume, Yasuyoshi Kigawa, Go Koizumi, Rie Tadokoro, Chiho Sugisawa, Kei Endo, Toru Iizaka, Ryo Saiki, Fumiko Otsuka, Shun Ishibashi, Shoichiro Nag Journal of the Endocrine Society.2020;[Epub] CrossRef - Association between the level of circulating adiponectin and prediabetes: A meta‐analysis
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Supanee Thanakun, Hisashi Watanabe, Sroisiri Thaweboon, Yuichi Izumi Diabetology & Metabolic Syndrome.2014;[Epub] CrossRef - Adiponectin as predictor for diabetes among pre-diabetic groups
Hyon-Suk Kim, Jaeseong Jo, Jung Eun Lim, Young Duk Yun, Soo Jin Baek, Tae-Yong Lee, Kap Bum Huh, Sun Ha Jee Endocrine.2013; 44(2): 411. CrossRef - Attenuation of plasma annexin A1 in human obesity
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S. Sandy An, Anthony J.G. Hanley, Julie T. Ziegler, W. Mark Brown, Steven M. Haffner, Jill M. Norris, Jerome I. Rotter, Xiuqing Guo, Y.-D. Ida Chen, Lynne E. Wagenknecht, Carl D. Langefeld, Donald W. Bowden, Nicholette D. Palmer Molecular Genetics and Metabolism.2012; 107(4): 721. CrossRef
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