Skip Navigation
Skip to contents

Endocrinol Metab : Endocrinology and Metabolism

clarivate
OPEN ACCESS
SEARCH
Search

Author index

Page Path
HOME > BROWSE ARTICLES > Author index
Search
Yang-Hyun Kim 1 Article
Clinical Study
Big Data Articles (National Health Insurance Service Database)
Variabilities in Weight and Waist Circumference and Risk of Myocardial Infarction, Stroke, and Mortality: A Nationwide Cohort Study
Da Hye Kim, Ga Eun Nam, Kyungdo Han, Yang-Hyun Kim, Kye-Yeung Park, Hwan-Sik Hwang, Byoungduck Han, Sung Jung Cho, Seung Jin Jung, Yeo-Joon Yoon, Yong Kyun Roh, Kyung Hwan Cho, Yong Gyu Park
Endocrinol Metab. 2020;35(4):933-942.   Published online December 23, 2020
DOI: https://doi.org/10.3803/EnM.2020.871
  • 6,319 View
  • 122 Download
  • 15 Web of Science
  • 17 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Evidence regarding the association between variabilities in obesity measures and health outcomes is limited. We aimed to examine the association between variabilities in obesity measures and cardiovascular outcomes and all-cause mortality.
Methods
We identified 4,244,460 individuals who underwent health examination conducted by the Korean National Health Insurance Service during 2012, with ≥3 anthropometric measurements between 2009 and 2012. Variabilities in body weight (BW) and waist circumference (WC) were assessed using four indices including variability independent of the mean (VIM). We performed multivariable Cox proportional hazards regression analyses.
Results
During follow-up of 4.4 years, 16,095, 18,957, and 30,200 cases of myocardial infarction (MI), stroke, and all-cause mortality were recorded. Compared to individuals with the lowest quartiles, incrementally higher risks of study outcomes and those of stroke and all-cause mortality were observed among individuals in higher quartiles of VIM for BW and VIM for WC, respectively. The multivariable adjusted hazard ratios and 95% confidence intervals comparing the highest versus lowest quartile groups of VIM for BW were 1.17 (1.12 to 1.22) for MI, 1.20 (1.16 to 1.25) for stroke, and 1.66 (1.60 to 1.71) for all-cause mortality; 1.07 (1.03 to 1.12) for stroke and 1.29 (1.25 to 1.33) for all-cause mortality regarding VIM for WC. These associations were similar with respect to the other indices for variability.
Conclusion
This study revealed positive associations between variabilities in BW and WC and cardiovascular outcomes and allcause mortality. Our findings suggest that variabilities in obesity measures are associated with adverse health outcomes in the general population.

Citations

Citations to this article as recorded by  
  • Gender differences in midlife to later-life cumulative burden and variability of obesity measures and risk of all-cause and cause-specific mortality
    Karim Kohansal, Siamak Afaghi, Davood Khalili, Danial Molavizadeh, Farzad Hadaegh
    International Journal of Obesity.2024; 48(4): 495.     CrossRef
  • 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
  • Anthropometric indices, a predictive marker for stroke and other metabolic disorders
    Clinton David Orupabo, Solomon David Owualah, Iberedem Clinton David
    International Journal of Medicine and Medical Research.2024; 10(1): 23.     CrossRef
  • Weight variability and cardiovascular outcomes: a systematic review and meta-analysis
    Robert J. Massey, Moneeza K. Siddiqui, Ewan R. Pearson, Adem Y. Dawed
    Cardiovascular Diabetology.2023;[Epub]     CrossRef
  • Family history, waist circumference and risk of ischemic stroke: A prospective cohort study among Chinese adults
    Lei Liu, Xiaojia Xue, Hua Zhang, Xiaocao Tian, Yunhui Chen, Yu Guo, Pei Pei, Shaojie Wang, Haiping Duan, Ruqin Gao, Zengchang Pang, Zhengming Chen, Liming Li
    Nutrition, Metabolism and Cardiovascular Diseases.2023; 33(4): 758.     CrossRef
  • Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database
    Sun Wook Cho, Jung Hee Kim, Han Seok Choi, Hwa Young Ahn, Mee Kyoung Kim, Eun Jung Rhee
    Endocrinology and Metabolism.2023; 38(1): 10.     CrossRef
  • Weight variability and diabetes complications
    Francesco Prattichizzo, Chiara Frigé, Rosalba La Grotta, Antonio Ceriello
    Diabetes Research and Clinical Practice.2023; 199: 110646.     CrossRef
  • Research on obesity using the National Health Information Database: recent trends
    Eun-Jung Rhee
    Cardiovascular Prevention and Pharmacotherapy.2023; 5(2): 35.     CrossRef
  • Weight cycling and risk of clinical adverse events in patients with heart failure with preserved ejection fraction: a post-hoc analysis of TOPCAT
    Yi Tan, Hang Guo, Ning Zhang, Keyang Zheng, Guifang Liu
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Weight variability, physical functioning and incident disability in older adults
    Katie J. McMenamin, Tamara B. Harris, Joshua F. Baker
    Journal of Cachexia, Sarcopenia and Muscle.2023; 14(4): 1648.     CrossRef
  • Association between Variability of Metabolic Risk Factors and Cardiometabolic Outcomes
    Min Jeong Park, Kyung Mook Choi
    Diabetes & Metabolism Journal.2022; 46(1): 49.     CrossRef
  • Effects of exercise initiation and smoking cessation after new-onset type 2 diabetes mellitus on risk of mortality and cardiovascular outcomes
    Mee Kyoung Kim, Kyungdo Han, Bongsung Kim, Jinyoung Kim, Hyuk-Sang Kwon
    Scientific Reports.2022;[Epub]     CrossRef
  • Lipid cutoffs for increased cardiovascular disease risk in non-diabetic young people
    Mee Kyoung Kim, Kyungdo Han, Hun-Sung Kim, Kun-Ho Yoon, Seung-Hwan Lee
    European Journal of Preventive Cardiology.2022; 29(14): 1866.     CrossRef
  • Body Mass Index Is Independently Associated with the Presence of Ischemia in Myocardial Perfusion Imaging
    Chrissa Sioka, Paraskevi Zotou, Michail I. Papafaklis, Aris Bechlioulis, Konstantinos Sakellariou, Aidonis Rammos, Evangelia Gkika, Lampros Lakkas, Sotiria Alexiou, Pavlos Kekiopoulos, Katerina K. Naka, Christos Katsouras
    Medicina.2022; 58(8): 987.     CrossRef
  • Waist Circumference and Body Mass Index Variability and Incident Diabetic Microvascular Complications: A Post Hoc Analysis of ACCORD Trial
    Daniel Nyarko Hukportie, Fu-Rong Li, Rui Zhou, Jia-Zhen Zheng, Xiao-Xiang Wu, Xian-Bo Wu
    Diabetes & Metabolism Journal.2022; 46(5): 767.     CrossRef
  • Nonalcoholic fatty liver disease and the risk of insulin-requiring gestational diabetes
    Sang Youn You, Kyungdo Han, Seung-Hawn Lee, Mee Kyoung Kim
    Diabetology & Metabolic Syndrome.2021;[Epub]     CrossRef
  • Increased Risk of Nonalcoholic Fatty Liver Disease in Individuals with High Weight Variability
    Inha Jung, Dae-Jeong Koo, Mi Yeon Lee, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee
    Endocrinology and Metabolism.2021; 36(4): 845.     CrossRef
Close layer

Endocrinol Metab : Endocrinology and Metabolism
TOP