Skip Navigation
Skip to contents

JPMPH : Journal of Preventive Medicine and Public Health

OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
7 "Metabolic syndrome X"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Articles
Associations of Sarcopenia and Sarcopenic Obesity With Metabolic Syndrome Considering Both Muscle Mass and Muscle Strength
Jihye Lee, Yeon-pyo Hong, Hyun Ju Shin, Weonyoung Lee
J Prev Med Public Health. 2016;49(1):35-44.   Published online November 23, 2015
DOI: https://doi.org/10.3961/jpmph.15.055
  • 14,601 View
  • 374 Download
  • 63 Crossref
AbstractAbstract PDF
Objectives
We investigated the associations of sarcopenia-defined both in terms of muscle mass and muscle strength-and sarcopenic obesity with metabolic syndrome.
Methods
Secondary data pertaining to 309 subjects (85 men and 224 women) were collected from participants in exercise programs at a health center in a suburban area. Muscle mass was measured using bioelectrical impedance analysis, and muscle strength was measured via handgrip strength. Sarcopenia based on muscle mass alone was defined as a weight-adjusted skeletal muscle mass index more than two standard deviations below the mean of a sex-specific young reference group (class II sarcopenia). Two cut-off values for low handgrip strength were used: the first criteria were <26 kg for men and <18 kg for women, and the second criteria were the lowest quintile of handgrip strength among the study subjects. Sarcopenic obesity was defined as the combination of class II sarcopenia and being in the two highest quintiles of total body fat percentage among the subjects. The associations of sarcopenia and sarcopenic obesity with metabolic syndrome were evaluated using logistic regression models.
Results
The age-adjusted risk ratios (RRs) of metabolic syndrome being compared in people with or without sarcopenia defined in terms of muscle mass were 1.25 (95% confidence interval [CI], 1.06 to 1.47, p=0.008) in men and 1.12 (95% CI, 1.06 to 1.19, p<0.001) in women, which were found to be statistically significant relationships. The RRs of metabolic syndrome being compared in people with or without sarcopenic obesity were 1.31 in men (95% CI, 1.10 to 1.56, p=0.003) and 1.17 in women (95% CI, 1.10 to 1.25, p<0.001), which were likewise found to be statistically significant relationships.
Conclusions
The associations of sarcopenia defined in terms of muscle mass and sarcopenic obesity with metabolic syndrome were statistically significant in both men and women. Therefore, sarcopenia and sarcopenic obesity must be considered as part of the community-based management of non-communicable diseases.
Summary

Citations

Citations to this article as recorded by  
  • Sarcopenia in long‐term survivors of cancer in childhood and adolescence: A cross‐sectional study of calf muscle mass by peripheral quantitative computed tomography with an examination of the muscle–bone unit
    Louise Guolla, Ronald Barr, Maciej Jaworski, Troy Farncombe, Christopher Gordon
    Pediatric Blood & Cancer.2024;[Epub]     CrossRef
  • Association between handgrip strength and metabolic syndrome in relation to gender and adiposity among middle aged and older Saudi populations
    Shaea A. Alkahtani, Ghedeir M. Alshammari, Aishah Alzuwaydi, Abdulaziz Alfuhaid, Abeer A. Al-Masri, Rizwan Qaisar, Syed Shahid Habib
    The Aging Male.2024;[Epub]     CrossRef
  • Examination of the correlation between hand grip strength and muscle mass, balance, mobility, and daily life activities in elderly individuals living in nursing homes
    Ferhan Soyuer, Feyzan Cankurtaran, Özlem Menevşe, Gözde Ertürk Zararsız
    Work.2023; 74(4): 1371.     CrossRef
  • Does an Association among Sarcopenia and Metabolic Risk Factors Exist in People Older Than 65 Years? A Systematic Review and Meta-Analysis of Observational Studies
    María del Carmen Carcelén-Fraile, Agustín Aibar-Almazán, Diego Fernando Afanador-Restrepo, Yulieth Rivas-Campo, Carlos Rodríguez-López, María del Mar Carcelén-Fraile, Yolanda Castellote-Caballero, Fidel Hita-Contreras
    Life.2023; 13(3): 648.     CrossRef
  • Sarcopenic obesity research perspectives outlined by the sarcopenic obesity global leadership initiative (SOGLI) – Proceedings from the SOGLI consortium meeting in Rome November 2022
    Gianluca Gortan Cappellari, Christelle Guillet, Eleonora Poggiogalle, Maria D. Ballesteros Pomar, John A. Batsis, Yves Boirie, Irene Breton, Stefano Frara, Laurence Genton, Yftach Gepner, Maria Cristina Gonzalez, Steven B. Heymsfield, Eva Kiesswetter, Ale
    Clinical Nutrition.2023; 42(5): 687.     CrossRef
  • Sarcopenic obesity by the ESPEN/EASO criteria for predicting mortality in advanced non-small cell lung cancer
    Jinqiu Zhou, Li Luo, Lingling Xie, Song Hu, Lingling Tan, Xiaozhen Lei, Xiaozhen Luo, Ming Yang
    Clinical Nutrition.2023; 42(6): 817.     CrossRef
  • A single bout of prior resistance exercise attenuates muscle atrophy and declines in myofibrillar protein synthesis during bed‐rest in older men
    Benoit Smeuninx, Yasir S. Elhassan, Elizabeth Sapey, Alison B. Rushton, Paul T. Morgan, Marie Korzepa, Archie E. Belfield, Andrew Philp, Matthew S. Brook, Nima Gharahdaghi, Daniel Wilkinson, Kenneth Smith, Philip J. Atherton, Leigh Breen
    The Journal of Physiology.2023;[Epub]     CrossRef
  • Asociación entre obesidad sarcopénica con resistencia a la insulina y síndrome metabólico
    Elizabeth Pérez-Cruz, Daniela Castro-Martínez, Otto Pavel González-Guzman
    Medicina Clínica.2022; 159(1): 1.     CrossRef
  • MicroRNAs in Obesity-Associated Disorders: The Role of Exercise Training
    Andre Silveira, João Gomes, Fernanda Roque, Tiago Fernandes, Edilamar Menezes de Oliveira
    Obesity Facts.2022; 15(2): 105.     CrossRef
  • Definition and diagnostic criteria for sarcopenic obesity: ESPEN and EASO consensus statement
    Lorenzo M. Donini, Luca Busetto, Stephan C. Bischoff, Tommy Cederholm, Maria D. Ballesteros-Pomar, John A. Batsis, Juergen M. Bauer, Yves Boirie, Alfonso J. Cruz-Jentoft, Dror Dicker, Stefano Frara, Gema Frühbeck, Laurence Genton, Yftach Gepner, Andrea Gi
    Clinical Nutrition.2022; 41(4): 990.     CrossRef
  • Association between sarcopenic obesity with insulin resistance and metabolic syndrome
    Elizabeth Pérez-Cruz, Daniela Castro-Martínez, Otto Pavel González-Guzman
    Medicina Clínica (English Edition).2022; 159(1): 1.     CrossRef
  • Definition and Diagnostic Criteria for Sarcopenic Obesity: ESPEN and EASO Consensus Statement
    Lorenzo M. Donini, Luca Busetto, Stephan C. Bischoff, Tommy Cederholm, Maria D. Ballesteros-Pomar, John A. Batsis, Juergen M. Bauer, Yves Boirie, Alfonso J. Cruz-Jentoft, Dror Dicker, Stefano Frara, Gema Frühbeck, Laurence Genton, Yftach Gepner, Andrea Gi
    Obesity Facts.2022; 15(3): 321.     CrossRef
  • Sarcopenic obesity in early breast cancer patients with metabolic syndrome: a cross-sectional study
    Gulcan Bulut, Nesrin Atci
    Future Oncology.2022; 18(20): 2489.     CrossRef
  • A combined index of waist circumference and muscle quality is associated with cardiovascular disease risk factor accumulation in Japanese obese patients: a cross-sectional study
    Kentaro Ikeue, Toru Kusakabe, Kazuya Muranaka, Hajime Yamakage, Takayuki Inoue, Kojiro Ishii, Noriko Satoh-Asahara
    Endocrine.2022; 77(1): 30.     CrossRef
  • Sarcopenia increases the risk of major organ or vessel invasion in patients with papillary thyroid cancer
    Ja Kyung Yoon, Jung Hyun Yoon, Vivian Youngjean Park, Minah Lee, Jin Young Kwak
    Scientific Reports.2022;[Epub]     CrossRef
  • Musculoskeletal effects of obesity and bariatric surgery – a narrative review
    Narriane Holanda, Nara Crispim, Ingrid Carlos, Taíssa Moura, Eduardo Nóbrega, Francisco Bandeira
    Archives of Endocrinology and Metabolism.2022; 66(5): 621.     CrossRef
  • Association between Skeletal Mass Indices and Metabolic Syndrome in Brazilian Adults
    Cristiane Junqueira de Carvalho, Giana Zarbato Longo, Adriana Maria Kakehasi, Patrícia Feliciano Pereira, Kátia Josiany Segheto, Leidjaira Lopes Juvanhol, Andréia Queiroz Ribeiro
    Journal of Clinical Densitometry.2021; 24(1): 118.     CrossRef
  • Myopenic obesity determined by visceral fat area strongly predicts long-term mortality in cirrhosis
    Hongjuan Feng, Xiaoyu Wang, Tianming Zhao, Lihong Mao, Yangyang Hui, Xiaofei Fan, Lin Lin, Wei Zhao, Kui Jiang, Bangmao Wang, Qingxiang Yu, Jie Zhang, Chao Sun
    Clinical Nutrition.2021; 40(4): 1983.     CrossRef
  • Skeletal mass indices are inversely associated with metabolically unhealthy phenotype in overweight/obese and normal-weight men: a population-based cross-sectional study
    Cristiane Junqueira de Carvalho, Giana Zarbato Longo, Adriana Maria Kakehasi, Patrícia Feliciano Pereira, Kátia Josiany Segheto, Leidjaira Lopes Juvanhol, Andréia Queiroz Ribeiro
    British Journal of Nutrition.2021; 126(4): 501.     CrossRef
  • Adiposity in Survivors of Cancer in Childhood: How is it Measured and Why Does it Matter?
    Louise Guolla, Katherine M. Morrison, Ronald D. Barr
    Journal of Pediatric Hematology/Oncology.2021; 43(1): 1.     CrossRef
  • The effect of short‐term exercise prehabilitation on skeletal muscle protein synthesis and atrophy during bed rest in older men
    Benoit Smeuninx, Yasir S. Elhassan, Konstantinos N. Manolopoulos, Elizabeth Sapey, Alison B. Rushton, Sophie J. Edwards, Paul T. Morgan, Andrew Philp, Matthew S. Brook, Nima Gharahdaghi, Kenneth Smith, Philip J. Atherton, Leigh Breen
    Journal of Cachexia, Sarcopenia and Muscle.2021; 12(1): 52.     CrossRef
  • Cardiometabolic Profile of Different Body Composition Phenotypes in Children
    Yi Ying Ong, Jonathan Y Huang, Navin Michael, Suresh Anand Sadananthan, Wen Lun Yuan, Ling-Wei Chen, Neerja Karnani, S Sendhil Velan, Marielle V Fortier, Kok Hian Tan, Peter D Gluckman, Fabian Yap, Yap-Seng Chong, Keith M Godfrey, Mary F-F Chong, Shiao-Yn
    The Journal of Clinical Endocrinology & Metabolism.2021; 106(5): e2015.     CrossRef
  • A moderate intensity exercise program improves physical function and oxidative damage in older women with and without sarcopenic obesity
    Liliana Gutiérrez-López, Ivonne M. Olivares-Corichi, Liliam Y. Martínez-Arellanes, Eduardo Mejía-Muñoz, José A. Polanco-Fierro, José R. García-Sánchez
    Experimental Gerontology.2021; 150: 111360.     CrossRef
  • Prevalence of metabolic syndrome and diabetes mellitus type-2 and their association with intake of dairy and legume in Andean communities of Ecuador
    Manuel E. Baldeón, Camilo Felix, Marco Fornasini, Federico Zertuche, Carolina Largo, María José Paucar, Liz Ponce, Sumathy Rangarajan, Salim Yusuf, Patricio López-Jaramillo, Omar Yaxmehen Bello-Chavolla
    PLOS ONE.2021; 16(7): e0254812.     CrossRef
  • Improvement in Muscle Strength and Metabolic Parameters Despite Muscle Mass Loss in the Initial Six Months After Bariatric Surgery
    Roberto Viña Coral, André Vicente Bigolin, Mayara Christ Machry, Rodrigo Koprovski Menguer, Júlio Carlos Pereira-Lima, Isabela Contin, Paula Veigas Stock
    Obesity Surgery.2021; 31(10): 4485.     CrossRef
  • Effects of psoas major muscle volume in predicting the prognosis of patients with upper urinary tract urothelial carcinoma treated with radical nephroureterectomy
    Soichiro Yuzuriha, Masanori Hasegawa, Nobuyuki Nakajima, Yuki Shimizu, Tatsuya Otaki, Tatsuya Umemoto, Masayoshi Kawakami, Hakushi Kim, Masahiro Nitta, Yoshiaki Kawamura, Sunao Shoji, Akira Miyajima
    Japanese Journal of Clinical Oncology.2021; 51(11): 1672.     CrossRef
  • Impact of sarcopenic obesity on long-term clinical outcomes after ST-segment elevation myocardial infarction
    Ryosuke Sato, Kozo Okada, Eiichi Akiyama, Masaaki Konishi, Yasushi Matsuzawa, Hidefumi Nakahashi, Yugo Minamimoto, Yuichiro Kimura, Nobuhiko Maejima, Noriaki Iwahashi, Kiyoshi Hibi, Masami Kosuge, Toshiaki Ebina, Kouichi Tamura, Kazuo Kimura
    Atherosclerosis.2021; 335: 135.     CrossRef
  • Effects of different definitions of low muscle mass on its association with metabolic syndrome in older adults: A Korean nationwide study
    Yerim Jeon, Ki Young Son
    Geriatrics & Gerontology International.2021; 21(11): 1003.     CrossRef
  • Relationship between socio-demographics, body composition, emotional state, and social support on metabolic syndrome risk among adults in rural Mongolia
    Jin Hee Kim, Hyun Lye Kim, Bolorchimeg Battushig, Jae Yong Yoo, Frank T. Spradley
    PLOS ONE.2021; 16(9): e0254141.     CrossRef
  • Sarcopenia, Obesity, and Sarcopenic Obesity: Relationship with Skeletal Muscle Phenotypes and Single Nucleotide Polymorphisms
    Praval Khanal, Alun G. Williams, Lingxiao He, Georgina K. Stebbings, Gladys L. Onambele-Pearson, Martine Thomis, Hans Degens, Christopher I. Morse
    Journal of Clinical Medicine.2021; 10(21): 4933.     CrossRef
  • The association between fat-to-muscle ratio and metabolic disorders in type 2 diabetes
    Dixing Liu, Jiana Zhong, Yuting Ruan, Zhen Zhang, Jia Sun, Hong Chen
    Diabetology & Metabolic Syndrome.2021;[Epub]     CrossRef
  • Reference Centiles for the Evaluation of Nutritional Status in Children using Body Fat Percentage, Fat Mass and Lean Body Mass Index
    Ibrahim Duran, Kyriakos Martakis, Mirko Rehberg, Christina Stark, Leonie Schafmeyer, Eckhard Schönau
    Journal of Clinical Densitometry.2020; 23(3): 349.     CrossRef
  • Malnutrition in obesity before and after bariatric surgery
    Sonmoon Mohapatra, Keerthana Gangadharan, Capecomorin S. Pitchumoni
    Disease-a-Month.2020; 66(2): 100866.     CrossRef
  • Association Between Sarcopenic Obesity and Pulmonary Function in Korean Elderly: Results from the Korean National Health and Nutrition Examination Survey
    Seung Eun Lee, Ju-Hyun Park, Kyoung-Ah Kim, Yun-Seong Kang, Han Seok Choi
    Calcified Tissue International.2020; 106(2): 124.     CrossRef
  • Critical appraisal of definitions and diagnostic criteria for sarcopenic obesity based on a systematic review
    Lorenzo M. Donini, Luca Busetto, Juergen M. Bauer, Stephan Bischoff, Yves Boirie, Tommy Cederholm, Alfonso J. Cruz-Jentoft, Dror Dicker, Gema Frühbeck, Andrea Giustina, Maria Cristina Gonzalez, Ho-Seong Han, Steven B. Heymsfield, Takashi Higashiguchi, Ale
    Clinical Nutrition.2020; 39(8): 2368.     CrossRef
  • Sarcopenic Obesity, Insulin Resistance, and Their Implications in Cardiovascular and Metabolic Consequences
    So-hyeon Hong, Kyung Mook Choi
    International Journal of Molecular Sciences.2020; 21(2): 494.     CrossRef
  • Reference Values for Skeletal Muscle Mass – Current Concepts and Methodological Considerations
    Carina O. Walowski, Wiebke Braun, Michael J. Maisch, Björn Jensen, Sven Peine, Kristina Norman, Manfred J. Müller, Anja Bosy-Westphal
    Nutrients.2020; 12(3): 755.     CrossRef
  • Assessing lifestyle-related diseases with body and muscle mass using bioelectrical impedance analysis
    Taiju Miyagami, Hirohide Yokokawa, Kazutoshi Fujibayashi, Hiroshi Fukuda, Teruhiko Hisaoka, Toshio Naito
    Osteoporosis and Sarcopenia.2020; 6(1): 27.     CrossRef
  • Association between the Thigh Muscle and Insulin Resistance According to Body Mass Index in Middle-Aged Korean Adults
    Ji Eun Heo, Jee-Seon Shim, Hokyou Lee, Hyeon Chang Kim
    Diabetes & Metabolism Journal.2020; 44(3): 446.     CrossRef
  • Chrysanthemi Zawadskii var. Latilobum Attenuates Obesity-Induced Skeletal Muscle Atrophy via Regulation of PRMTs in Skeletal Muscle of Mice
    Ahyoung Yoo, Young Jin Jang, Jiyun Ahn, Chang Hwa Jung, Hyo Deok Seo, Tae Youl Ha
    International Journal of Molecular Sciences.2020; 21(8): 2811.     CrossRef
  • ASSOCIATION OF LOW MUSCLE MASS AND ISOKINETIC STRENGTH WITH METABOLIC SYNDROME

    Journal of Men's Health.2020; 16(2): 50.     CrossRef
  • Metabolic and Molecular Basis of Sarcopenia: Implications in the Management of Urothelial Carcinoma
    Hiroshi Fukushima, Yasuhisa Fujii, Fumitaka Koga
    International Journal of Molecular Sciences.2019; 20(3): 760.     CrossRef
  • Sarcopenia and Its Implications for Metabolic Health
    Gary R. Hunter, Harshvardhan Singh, Stephen J. Carter, David R. Bryan, Gordon Fisher
    Journal of Obesity.2019; 2019: 1.     CrossRef
  • Fat-to-muscle ratio is a useful index for cardiometabolic risks: A population-based observational study
    Yuan-Yuei Chen, Wen-Hui Fang, Chung-Ching Wang, Tung-Wei Kao, Hui-Fang Yang, Chen-Jung Wu, Yu-Shan Sun, Ying-Chuan Wang, Wei-Liang Chen, Ying-Mei Feng
    PLOS ONE.2019; 14(4): e0214994.     CrossRef
  • Promoting mobility and healthy aging in men: a narrative review
    P. R. Ebeling, F. Cicuttini, D. Scott, G. Jones
    Osteoporosis International.2019; 30(10): 1911.     CrossRef
  • CELA2A mutations predispose to early-onset atherosclerosis and metabolic syndrome and affect plasma insulin and platelet activation
    Fatemehsadat Esteghamat, James S. Broughton, Emily Smith, Rebecca Cardone, Tarun Tyagi, Mateus Guerra, András Szabó, Nelson Ugwu, Mitra V. Mani, Bani Azari, Gerald Kayingo, Sunny Chung, Mohsen Fathzadeh, Ephraim Weiss, Jeffrey Bender, Shrikant Mane, Richa
    Nature Genetics.2019; 51(8): 1233.     CrossRef
  • Comparison between grip strength and grip strength divided by body weight in their relationship with metabolic syndrome and quality of life in the elderly
    Se-Woong Chun, Won Kim, Kyoung Hyo Choi, Xianwu Cheng
    PLOS ONE.2019; 14(9): e0222040.     CrossRef
  • Association between underweight and pulmonary function in 282,135 healthy adults: A cross-sectional study in Korean population
    Jong Geol Do, Chul-Hyun Park, Yong-Taek Lee, Kyung Jae Yoon
    Scientific Reports.2019;[Epub]     CrossRef
  • Pre-Sleep Casein Protein Ingestion Does Not Impact Next-Day Appetite, Energy Intake and Metabolism in Older Individuals
    Stephen Morehen, Benoit Smeuninx, Molly Perkins, Paul Morgan, Leigh Breen
    Nutrients.2019; 12(1): 90.     CrossRef
  • Metabolic syndrome and disability in Chinese nonagenarians and centenarians
    Ming Yang, Hanyue Xu, Ling Yang, Jiaojiao Jiang, Birong Dong
    Aging Clinical and Experimental Research.2018; 30(8): 943.     CrossRef
  • Older Adults With Metabolic Syndrome Present Lower Ankle-Brachial Index and Worse Functional Performance
    Alessandro Domingues Heubel, Terezinha Sasaki Marques, Bruna Varanda Pessoa-Santos, Camila Gimenes, Eduardo Aguilar Arca, Bruno Martinelli, Silvia Regina Barrile
    Topics in Geriatric Rehabilitation.2018; 34(1): 65.     CrossRef
  • Associations of sarcopenic obesity with the metabolic syndrome and insulin resistance over five years in older men: The Concord Health and Ageing in Men Project
    David Scott, Robert Cumming, Vasi Naganathan, Fiona Blyth, David G. Le Couteur, David J. Handelsman, Markus Seibel, Louise M. Waite, Vasant Hirani
    Experimental Gerontology.2018; 108: 99.     CrossRef
  • Muscle radiodensity and mortality in patients with colorectal cancer
    Candyce H. Kroenke, Carla M. Prado, Jeffrey A. Meyerhardt, Erin K. Weltzien, Jingjie Xiao, Elizabeth M. Cespedes Feliciano, Bette J. Caan
    Cancer.2018; 124(14): 3008.     CrossRef
  • Impact of Sarcopenia as a Prognostic Biomarker of Bladder Cancer
    Hiroshi Fukushima, Kosuke Takemura, Hiroaki Suzuki, Fumitaka Koga
    International Journal of Molecular Sciences.2018; 19(10): 2999.     CrossRef
  • Associations between Sarcopenia and Metabolic Risk Factors: A Systematic Review and Meta-Analysis
    Yang Du, Chorong Oh, Jaekyung No
    Journal of Obesity & Metabolic Syndrome.2018; 27(3): 175.     CrossRef
  • Sarcopenic obesity or obese sarcopenia: A cross talk between age-associated adipose tissue and skeletal muscle inflammation as a main mechanism of the pathogenesis
    Alexander Kalinkovich, Gregory Livshits
    Ageing Research Reviews.2017; 35: 200.     CrossRef
  • Impact of sarcopenia in the management of urological cancer patients
    Hiroshi Fukushima, Fumitaka Koga
    Expert Review of Anticancer Therapy.2017; 17(5): 455.     CrossRef
  • Gender difference in the association between lower muscle mass and metabolic syndrome independent of insulin resistance in a middle-aged and elderly Taiwanese population
    You-Ci Ou, Hai-Hua Chuang, Wen-Cheng Li, I-Shiang Tzeng, Jau-Yuan Chen
    Archives of Gerontology and Geriatrics.2017; 72: 12.     CrossRef
  • International society of sports nutrition position stand: diets and body composition
    Alan A. Aragon, Brad J. Schoenfeld, Robert Wildman, Susan Kleiner, Trisha VanDusseldorp, Lem Taylor, Conrad P. Earnest, Paul J. Arciero, Colin Wilborn, Douglas S. Kalman, Jeffrey R. Stout, Darryn S. Willoughby, Bill Campbell, Shawn M. Arent, Laurent Banno
    Journal of the International Society of Sports Nutrition.2017;[Epub]     CrossRef
  • Association between obesity with low muscle mass and dialysis mortality
    Hung‐Chieh Wu, Shih‐Fen Tseng, Wei‐Jie Wang, Hsin‐Jen Chen, Lin‐Chien Lee
    Internal Medicine Journal.2017; 47(11): 1282.     CrossRef
  • Current and future strategies for the nutritional management of cardiometabolic complications of androgen deprivation therapy for prostate cancer
    Lauren Turner, Karen Poole, Sara Faithfull, Bruce A. Griffin
    Nutrition Research Reviews.2017; 30(2): 220.     CrossRef
  • The Impact of Sarcopenia on Elderly Cancer Patients
    G Gioia
    Archive of Gerontology and Geriatrics Research.2017; 2(1): 003.     CrossRef
  • Metabolic Dysfunction, Obesity, and Survival Among Patients With Early-Stage Colorectal Cancer
    Elizabeth M. Cespedes Feliciano, Candyce H. Kroenke, Jeffrey A. Meyerhardt, Carla M. Prado, Patrick T. Bradshaw, Andrew J. Dannenberg, Marilyn L. Kwan, Jingjie Xiao, Charles Quesenberry, Erin K. Weltzien, Adrienne L. Castillo, Bette J. Caan
    Journal of Clinical Oncology.2016; 34(30): 3664.     CrossRef
Serum Uric Acid Level and the Incidence of Metabolic Syndrome in Middle-aged Korean Men: A 5-Year Follow-up Study
Jong-Keun Lee, Jae-Hong Ryoo, Joong-Myung Choi, Sung Keun Park
J Prev Med Public Health. 2014;47(6):317-326.   Published online November 4, 2014
DOI: https://doi.org/10.3961/jpmph.14.028
  • 9,857 View
  • 89 Download
  • 5 Crossref
AbstractAbstract PDF
Objectives
Elevated serum uric acid (UA) has been known to be associated with the prevalence of metabolic syndrome (MetS). However, no prospective studies have examined whether serum UA levels are actually associated with the development of MetS. We performed a prospective study to evaluate the longitudinal effects of baseline serum UA levels on the development of MetS.
Methods
A MetS-free cohort of 14 906 healthy Korean men, who participated in a medical check-up program in 2005, was followed until 2010. MetS was defined according to the Joint Interim Statement of the International Diabetes Federation Task Force on Epidemiology and Prevention. Cox proportional hazards models were performed.
Results
During 52 466.1 person-years of follow-up, 2428 incident cases of MetS developed between 2006 and 2010. After adjusting for multiple covariates, the hazard ratios (95% confidence intervals) for incident MetS for the second, the third, and the fourth quartile to the first quartile of serum UA levels were 1.09 (0.92-1.29), 1.22 (1.04-1.44), and 1.48 (1.26-1.73), respectively (p for trend <0.001). These associations were also significant in the clinically relevant subgroup analyses.
Conclusions
Elevated serum UA levels were independently associated with future development of MetS in Korean men during the 5-year follow-up period.
Summary

Citations

Citations to this article as recorded by  
  • Which Clusters of Metabolic Syndrome Are the Most Associated with Serum Uric Acid?
    Jurgita Mikolaitytė, Jolita Badarienė, Roma Puronaitė, Alma Čypienė, Irma Rutkauskienė, Jolanta Dadonienė, Aleksandras Laucevičius
    Medicina.2022; 58(2): 297.     CrossRef
  • Association between serum uric acid and metabolic syndrome: a cross-sectional study in Bangladeshi adults
    Nurshad Ali, Rakib Miah, Mahmudul Hasan, Zitu Barman, Ananya Dutta Mou, Jaasia Momtahena Hafsa, Aporajita Das Trisha, Akibul Hasan, Farjana Islam
    Scientific Reports.2020;[Epub]     CrossRef
  • Association between uric acid and metabolic syndrome in elderly women
    Hui-Juan Wang, Lei-Zhi Shi, Cun-Fei Liu, Shi-Min Liu, Song-Tao Shi
    Open Medicine.2018; 13(1): 172.     CrossRef
  • The Associations of Serum Uric Acid with Obesity-Related Acanthosis nigricans and Related Metabolic Indices
    Cuiling Zhu, Ran Cui, Mingming Gao, Sharvan Rampersad, Hui You, Chunjun Sheng, Peng Yang, Hui Sheng, Xiaoyun Cheng, Le Bu, Shen Qu
    International Journal of Endocrinology.2017; 2017: 1.     CrossRef
  • Association between Serum Uric Acid and Mortality among Chinese Patients with Coronary Artery Disease
    Qing Li, Yuan Zhang, Ding Ding, Yunou Yang, Qian Chen, Chaoqun Liu, Xinrui Li, Changjiang Hong, Wenhua Ling
    Cardiology.2016; 134(3): 347.     CrossRef
Association Between Serum Uric Acid Level and Metabolic Syndrome
Ju-Mi Lee, Hyeon Chang Kim, Hye Min Cho, Sun Min Oh, Dong Phil Choi, Il Suh
J Prev Med Public Health. 2012;45(3):181-187.   Published online May 31, 2012
DOI: https://doi.org/10.3961/jpmph.2012.45.3.181
  • 15,931 View
  • 172 Download
  • 51 Crossref
AbstractAbstract PDF
Objectives

Serum uric acid levels have been reported to be associated with a variety of cardiovascular conditions. However, the direct association between uric acid levels and metabolic syndrome remains controversial. Thus, we evaluated the association of serum uric acid levels and metabolic syndrome in a community-based cohort study in Korea.

Methods

We performed cross-sectional analysis of baseline data of 889 males and 1491 females (aged 38 to 87) who participated in baseline examinations of the Korean Genome and Epidemiology Study: Kanghwa study. Blood samples were collected after at least an 8 hour fast. Uric acid quartiles were defined as follows: <4.8, 4.8-<5.6, 5.6-<6.5, ≥6.5 mg/dL in males; and <3.8, 3.8-<4.3, 4.3-<5.1, ≥5.1 mg/dL in females. Metabolic syndrome was defined by the National Cholesterol Education Program Adult Treatment Panel III Criteria with adjusted waist circumference cutoffs (90 cm for males; 80 cm for females). The association between serum uric acid quartiles and metabolic syndrome was assessed using multivariate logistic regression.

Results

The odds ratio for having metabolic syndrome in the highest versus lowest quartiles of serum uric acid levels was 2.67 (95% confidence interval [CI], 1.60 to 4.46) in males and 2.14 (95% CI, 1.50 to 3.05) in females after adjusting for age, smoking, alcohol intake, body mass index, total cholesterol, HbA1c, albumin, γ-glutamyltransferase, blood urea nitrogen, and log C-reactive protein. The number of metabolic abnormalities also increased gradually with increasing serum uric acid levels (adjusted p for trend < 0.001 in both sexes).

Conclusions

Higher serum uric acid levels are positively associated with the presence of metabolic syndrome in Korean males and females.

Summary

Citations

Citations to this article as recorded by  
  • Associations of triglyceride-glucose index with hyperuricemia among Royal Thai Army personnel
    Sethapong Lertsakulbunlue, Tanatip Sangkool, Varathpavee Bhuriveth, Mathirut Mungthin, Ram Rangsin, Anupong Kantiwong, Boonsub Sakboonyarat
    BMC Endocrine Disorders.2024;[Epub]     CrossRef
  • Serum uric acid significantly improves the accuracy of cardiovascular risk score models
    Yonatan Moshkovits, Shmuel Tiosano, Alon Kaplan, Maia Kalstein, Gabriella Bayshtok, Shaye Kivity, Shlomo Segev, Ehud Grossman, Amit Segev, Elad Maor, Alexander Fardman
    European Journal of Preventive Cardiology.2023; 30(7): 524.     CrossRef
  • Association between Neck Circumference and Serum Uric Acid Level in Korean Adults over 40 Years Old: Based on the 2019 Korea National Health and Nutrition Examination Survey
    Myeong Jin Lee, Hye Rim Hwang, Youn Mi Kim, Ki Woo Kim
    Korean Journal of Family Practice.2023; 13(1): 8.     CrossRef
  • Correlation of Salivary Uric Acid and Cardiac Autonomic Modulation in Metabolic Syndrome Population
    Bhagyashree N, Ganesh M, Ramaswamy C
    Research Journal of Pharmacy and Technology.2023; : 1347.     CrossRef
  • Dietary polyglycosylated anthocyanins, the smart option? A comprehensive review on their health benefits and technological applications
    Jingren He, Shuxin Ye, Patrícia Correia, Iva Fernandes, Rui Zhang, Muci Wu, Victor Freitas, Nuno Mateus, Hélder Oliveira
    Comprehensive Reviews in Food Science and Food Safety.2022;[Epub]     CrossRef
  • Pharmacokinetics, Mass Balance, and Metabolism of the Novel Urate Transporter 1 Inhibitor [14C]HR011303 in Humans: Metabolism Is Mediated Predominantly by UDP-Glucuronosyltransferase
    Yuandong Zheng, Hua Zhang, Mengling Liu, Guangze Li, Sheng Ma, Zhe Zhang, Hongda Lin, Yan Zhan, Zhendong Chen, Dafang Zhong, Liyan Miao, Xingxing Diao
    Drug Metabolism and Disposition.2022; 50(6): 798.     CrossRef
  • Seaweed sulfated polysaccharides and their medicinal properties
    Oxana Olegovna Zaitseva, Marta Igorevna Sergushkina, Andrey Nikolaevich Khudyakov, Tatyana Vitalyevna Polezhaeva, Olga Nurzadinovna Solomina
    Algal Research.2022; 68: 102885.     CrossRef
  • Design, synthesis, and biological studies of dual URAT1 inhibitor and FXR agonist based on benzbromarone
    Wanqiu Huang, Shixuan Jiao, Siliang Chen, Ya Chen, Zhongcheng Yang, Wenxin Wang, Zhijun Cao, Zheng Li, Luyong Zhang
    Bioorganic & Medicinal Chemistry.2022; 75: 117073.     CrossRef
  • Extract of Aster glehni ameliorates potassium oxonate-induced hyperuricemia by modulating renal urate transporters and renal inflammation by suppressing TLR4/MyD88 signaling
    Jeongho Jeong, Mi Kyung Lim, Eun Hye Han, Sang-Ho Lee, Seongman Kang, Soyeon Lee
    Food Science and Biotechnology.2022; 31(13): 1729.     CrossRef
  • High Prevalence of Prediabetes and Associated Risk Factors in Urban Areas of Pontianak, Indonesia: A Cross-Sectional Study
    Indah Budiastutik, Martha I. Kartasurya, Hertanto W. Subagio, Bagoes Widjanarko, Mayank Choubey
    Journal of Obesity.2022; 2022: 1.     CrossRef
  • The association of serum uric acid with metabolic syndrome and its components—From a single‐clinical centre in China
    Jian Xu, Chengcheng Liu, Li Fu, Li Li, Tingting Wang
    International Journal of Clinical Practice.2021;[Epub]     CrossRef
  • Can biomarkers be used to improve diagnosis and prediction of metabolic syndrome in childhood cancer survivors? A systematic review
    Vincent G. Pluimakers, Selveta S. van Santen, Marta Fiocco, Marie‐Christine E. Bakker, Aart J. van der Lelij, Marry M. van den Heuvel‐Eibrink, Sebastian J. C. M. M. Neggers
    Obesity Reviews.2021;[Epub]     CrossRef
  • Identification of biomarkers of brown adipose tissue aging highlights the role of dysfunctional energy and nucleotide metabolism pathways
    Carola Mancini, Sabrina Gohlke, Francisco Garcia-Carrizo, Vyacheslav Zagoriy, Heike Stephanowitz, Tim J. Schulz
    Scientific Reports.2021;[Epub]     CrossRef
  • Peculiarities of Metabolic Factors of Cardiovascular Risk in Essential Hypertension Patients depending on Body Weight and Gender
    N. S. Bek, O. M. Radchenko, L. V. Olenych
    Ukraïnsʹkij žurnal medicini, bìologìï ta sportu.2020; 5(1): 96.     CrossRef
  • Associations of Serum Uric Acid with Endogenous Cholesterol Synthesis Indices in Men with High Cardiometabolic Risk
    Marek Vecka, Aleš Žák, Eva Tvrzická, Magdalena Dušejovská, Barbora Staňková, Miroslav Zeman
    Metabolic Syndrome and Related Disorders.2020; 18(4): 212.     CrossRef
  • Association of Serum Uric Acid with cardio-metabolic risk factors and metabolic syndrome in seafarers working on tankers
    Fereshteh Baygi, Kimmo Herttua, Ali Sheidaei, Alireza Ahmadvand, Olaf Chresten Jensen
    BMC Public Health.2020;[Epub]     CrossRef
  • The association between serum uric acid level and the risk of cognitive impairment after ischemic stroke
    Jing Sun, Xinhuang Lv, Xinxin Gao, Zewei Chen, Dianhui Wei, Yi Ling, Junmei Zhang, Qilu Gu, Jiaming Liu, Weian Chen, Suzhi Liu
    Neuroscience Letters.2020; 734: 135098.     CrossRef
  • The Association Between Metabolic Syndrome and Serum Concentrations of Micronutrients, Inflammation, and Oxidative Stress Outside of the Clinical Reference Ranges: A Cross-Sectional Study
    Thirumagal Kanagasabai, Khloud Alkhalaqi, James R. Churilla, Chris I. Ardern
    Metabolic Syndrome and Related Disorders.2019; 17(1): 29.     CrossRef
  • Chicory (Cichorium intybus L.) inhibits renal reabsorption by regulating expression of urate transporters in fructose-induced hyperuricemia
    Yu Wang, Zhijian Lin, Bing Zhang, Xiao Wang, Mengzhen Chu
    Journal of Traditional Chinese Medical Sciences.2019; 6(1): 84.     CrossRef
  • Uric Acid Levels Correlate with Sensory Nerve Function in Healthy Subjects
    Alon Abraham, Hans D. Katzberg, Leif E. Lovblom, Bruce A. Perkins, Vera Bril
    Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques.2019; 46(3): 337.     CrossRef
  • Novel urate transporter 1 (URAT1) inhibitors: a review of recent patent literature (2016–2019)
    Yue Dong, Tong Zhao, Wei Ai, Waleed A. Zalloum, Dongwei Kang, Ting Wu, Xinyong Liu, Peng Zhan
    Expert Opinion on Therapeutic Patents.2019; 29(11): 871.     CrossRef
  • An association of smoking with serum urate and gout: A health paradox
    Niamh Fanning, Tony R. Merriman, Nicola Dalbeth, Lisa K. Stamp
    Seminars in Arthritis and Rheumatism.2018; 47(6): 825.     CrossRef
  • Baseline and changes in serum uric acid independently predict 11-year incidence of metabolic syndrome among community-dwelling women
    R. Kawamoto, D. Ninomiya, Y. Kasai, K. Senzaki, T. Kusunoki, N. Ohtsuka, T. Kumagi
    Journal of Endocrinological Investigation.2018; 41(8): 959.     CrossRef
  • Production Inhibition and Excretion Promotion of Urate by Fucoidan from Laminaria japonica in Adenine-Induced Hyperuricemic Mice
    Dayan Zhang, Huazhong Liu, Ping Luo, Yanqun Li
    Marine Drugs.2018; 16(12): 472.     CrossRef
  • Association between Mean Corpuscular Hemoglobin Concentration and Future Depressive Symptoms in Women
    Ju-Mi Lee, Sarah B. Nadimpalli, Jin-Ha Yoon, Se Yeon Mun, Il Suh, Hyeon Chang Kim
    The Tohoku Journal of Experimental Medicine.2017; 241(3): 209.     CrossRef
  • Screening of effective xanthine oxidase inhibitors in dietary anthocyanins from purple sweet potato (Ipomoea batatas L. Cultivar Eshu No.8) and deciphering of the underlying mechanisms in vitro
    Zi-Cheng Zhang, Hong-Bin Wang, Qing Zhou, Ben Hu, Jia-Hao Wen, Jiu-Liang Zhang
    Journal of Functional Foods.2017; 36: 102.     CrossRef
  • Association of Education, Health Behaviors, Concerns, and Knowledge with Metabolic Syndrome among Urban Elderly in One Medical Center in Taiwan
    Meng-Ting Tsou
    International Journal of Gerontology.2017; 11(3): 138.     CrossRef
  • Serum uric acid: a new therapeutic target for nonalcoholic fatty liver disease
    Dan-Qin Sun, Sheng-Jie Wu, Wen-Yue Liu, Qian-Di Lu, Gui-Qi Zhu, Ke-Qing Shi, Martin Braddock, Dan Song, Ming-Hua Zheng
    Expert Opinion on Therapeutic Targets.2016; 20(3): 375.     CrossRef
  • Serum uric acid: A strong and independent predictor of metabolic syndrome after adjusting for body composition
    Tae Yang Yu, Jae Hwan Jee, Ji Cheol Bae, Sang-Man Jin, Jong-Ha Baek, Moon-Kyu Lee, Jae Hyeon Kim
    Metabolism.2016; 65(4): 432.     CrossRef
  • Obésité, hyperuricémie et goutte
    Gérard Chalès, Pascal Richette
    Revue du Rhumatisme Monographies.2016; 83(1): 44.     CrossRef
  • Serum uric acid concentration and metabolic syndrome among elderly Koreans: The Korean Urban Rural Elderly (KURE) study
    Hansol Choi, Hyeon Chang Kim, Bo Mi Song, Ji Hye Park, Ju-Mi Lee, Da-Lim Yoon, Young Mi Yoon, Yumie Rhee, Yousik Youm, Chang Oh Kim
    Archives of Gerontology and Geriatrics.2016; 64: 51.     CrossRef
  • Biomarkers of Metabolic Syndrome: Biochemical Background and Clinical Significance
    Harry Robberecht, Nina Hermans
    Metabolic Syndrome and Related Disorders.2016; 14(2): 47.     CrossRef
  • Overweight modifies the longitudinal association between uric acid and some components of the metabolic syndrome: The Tromsø Study
    Jon V. Norvik, Hilde M. Storhaug, Kirsti Ytrehus, Trond G. Jenssen, Svetlana N. Zykova, Bjørn O. Eriksen, Marit D. Solbu
    BMC Cardiovascular Disorders.2016;[Epub]     CrossRef
  • Nonalcoholic fatty liver disease: A precursor of the metabolic syndrome
    Amedeo Lonardo, Stefano Ballestri, Giulio Marchesini, Paul Angulo, Paola Loria
    Digestive and Liver Disease.2015; 47(3): 181.     CrossRef
  • Associations between serum uric acid concentrations and metabolic syndrome and its components in the PREDIMED study
    N. Babio, M.A. Martínez-González, R. Estruch, J. Wärnberg, J. Recondo, M. Ortega-Calvo, L. Serra-Majem, D. Corella, M. Fitó, E. Ros, N. Becerra-Tomás, J. Basora, J. Salas-Salvadó
    Nutrition, Metabolism and Cardiovascular Diseases.2015; 25(2): 173.     CrossRef
  • Prevalence of metabolic syndrome and pre-metabolic syndrome in health professionals: LATINMETS Brazil study
    Fernanda de Carvalho Vidigal, Andréia Queiroz Ribeiro, Nancy Babio, Jordi Salas-Salvadó, Josefina Bressan
    Diabetology & Metabolic Syndrome.2015;[Epub]     CrossRef
  • Cross-sectional and longitudinal associations between serum uric acid and metabolic syndrome: Results from Fangchenggang Area Male Health and Examination Survey in China
    Dongni Chen, Haiying Zhang, Yong Gao, Zheng Lu, Ziting Yao, Yonghua Jiang, Xinggu Lin, Chunlei Wu, Xiaobo Yang, Aihua Tan, Zengnan Mo
    Clinica Chimica Acta.2015; 446: 226.     CrossRef
  • Antioxidative phytochemicals from Rhododendron oldhamii Maxim. leaf extracts reduce serum uric acid levels in potassium oxonate-induced hyperuricemic mice
    Yu-Tang Tung, Lei-Chen Lin, Ya-Ling Liu, Shang-Tse Ho, Chi-Yang Lin, Hsiao-Li Chuang, Chien-Chao Chiu, Chi-Chang Huang, Jyh-Horng Wu
    BMC Complementary and Alternative Medicine.2015;[Epub]     CrossRef
  • Mangiferin Inhibits Renal Urate Reabsorption by Modulating Urate Transporters in Experimental Hyperuricemia
    Hua Yang, Lihui Gao, Yanfen Niu, Yuanfang Zhou, Hua Lin, Jing Jiang, Xiangfu Kong, Xu Liu, Ling Li
    Biological & Pharmaceutical Bulletin.2015; 38(10): 1591.     CrossRef
  • Serum Uric Acid and Subsequent Cognitive Performance in Patients with Pre-Existing Cardiovascular Disease
    Noa Molshatzki, Galit Weinstein, Jonathan Y. Streifler, Uri Goldbourt, David Tanne, Hemachandra Reddy
    PLOS ONE.2015; 10(3): e0120862.     CrossRef
  • Serum uric acid does not predict incident metabolic syndrome in a population with high prevalence of obesity
    L.A. Ferrara, H. Wang, J.G. Umans, N. Franceschini, S. Jolly, E.T. Lee, J. Yeh, R.B. Devereux, B.V. Howard, G. de Simone
    Nutrition, Metabolism and Cardiovascular Diseases.2014; 24(12): 1360.     CrossRef
  • Comorbidities in Patients with Crystal Diseases and Hyperuricemia
    Sebastian E. Sattui, Jasvinder A. Singh, Angelo L. Gaffo
    Rheumatic Disease Clinics of North America.2014; 40(2): 251.     CrossRef
  • Association between Serum 25-Hydroxyvitamin D Level and Insulin Resistance in a Rural Population
    Bo Mi Song, Hyeon Chang Kim, Dong Phil Choi, Sun Min Oh, Il Suh
    Yonsei Medical Journal.2014; 55(4): 1036.     CrossRef
  • Relationship between serum uric acid levels and metabolic syndrome in Chinese postmenopausal women
    P. J. Liu, F. Ma, H. P. Lou, Y. N. Zhu, Y. Chen
    Climacteric.2014; 17(2): 148.     CrossRef
  • A possible role of serum uric acid as a marker of metabolic syndrome
    Y.‐J. Lee, S. Cho, S. R. Kim
    Internal Medicine Journal.2014; 44(12a): 1210.     CrossRef
  • The liver and the kidney: two critical organs influencing the atherothrombotic risk in metabolic syndrome
    Federico Carbone, Fabrizio Montecucco, François Mach, Roberto Pontremoli, Francesca Viazzi
    Thrombosis and Haemostasis.2013; 110(11): 940.     CrossRef
  • Hyperuricaemia
    Niki Katsiki, Asterios Karagiannis, Vasilios G. Athyros, Dimitri P. Mikhailidis
    Journal of Cardiovascular Medicine.2013; 14(6): 397.     CrossRef
  • Metabolic syndrome, diabetes, and hyperuricemia
    Changgui Li, Ming-Chia Hsieh, Shun-Jen Chang
    Current Opinion in Rheumatology.2013; 25(2): 210.     CrossRef
  • Risk factors for incident hyperuricemia during mid-adulthood in African American and White men and women enrolled in the ARIC cohort study
    Mara A McAdams-DeMarco, Andrew Law, Janet W Maynard, Josef Coresh, Alan N Baer
    BMC Musculoskeletal Disorders.2013;[Epub]     CrossRef
  • The Effects of Consumption L-Arabinose on Metabolic Syndrome in Humans
    Ziming, Dianpeng Li, Haiying Jiang, Guiyun Qian, Weiguo Sui, Guimian Zou, Hourui Zhang
    Journal of Pharmacy and Nutrition Sciences .2013; 3(2): 116.     CrossRef
  • Effects of the Degree of Obesity on Achieving Target Blood Pressure and Metabolic Deterioration in Obese Individuals: A Population-Based Study
    Serkan Ozturk, Davut Baltaci, Yasemin Turker, Ali Kutlucan, Erhan Yengil, Mehmet Harun Deler, Mucahit Gur, Handan Ankarali
    Kidney and Blood Pressure Research.2013; 37(6): 531.     CrossRef
Research Support, Non-U.S. Gov't
Relationship Between Serum Concentrations of Organochlorine Pesticides and Metabolic Syndrome Among Non-Diabetic Adults.
Sun Kyun Park, Hyo Kyung Son, Sung Kook Lee, Jung Ho Kang, Yoon Seok Chang, David R Jacobs, Duk Hee Lee
J Prev Med Public Health. 2010;43(1):1-8.
DOI: https://doi.org/10.3961/jpmph.2010.43.1.1
  • 5,708 View
  • 131 Download
  • 42 Crossref
AbstractAbstract PDF
OBJECTIVES
This study was performed to investigate if organochlorine pesticides (OCPs) were associated with metabolic syndrome and insulin resistance among non-diabetes. METHODS: Among subjects who participated in a community-based health survey, 50 non-diabetic subjects with metabolic syndrome and 50 normal controls were selected. Insulin resistance was measured by the homeostasis model assessment (HOMA-IR). Eight OCPs were selected. RESULTS: After adjusting for confounders except for body mass index (BMI), beta-hexachlorocyclohexane (beta-HCH) and heptachlor epoxide were positively associated with metabolic syndrome. Odds ratios across tertiles of beta-HCH and heptachlor epoxide were 1.0, 3.2 and 4.4, and 1.0, 4.0 and 6.0, respectively (p for trend = 0.01 and <0.01). After additional adjustment for body mass index (BMI), heptachlor epoxide still showed an increasing trend with adjusted odds ratios of 1.0, 4.1, and 4.6 (p for trend = 0.10). When the five components of metabolic syndrome (with the definition of high fasting glucose (> or =100 mg/dL)) were separately analyzed, all components were positively, but not significantly, associated with heptachlor epoxide. As the serum concentration of heptachlor epoxide increased, HOMA-IR increased significantly in subjects with metabolic syndrome even after adjusting for BMI (p value <0.05 and <0.01). CONCLUSIONS: Despite the small sample size, this study suggests that the background exposure to some OCPs may be associated with metabolic syndrome.
Summary

Citations

Citations to this article as recorded by  
  • Exposure to Endocrine-Disrupting Chemicals and Type 2 Diabetes Mellitus in Later Life
    Jian-Yan Lin, Rui-Xing Yin
    Exposure and Health.2023; 15(1): 199.     CrossRef
  • Cross-sectional associations of persistent organic pollutants measured in adipose tissue and metabolic syndrome in clinically diagnosed middle-aged adults
    Iris Reina-Pérez, Francisco Artacho-Cordón, Vicente Mustieles, Daniel Castellano-Castillo, Fernando Cardona, Inmaculada Jiménez-Díaz, Jose A. López-Medina, Juan Alcaide, Luis Ocaña-Wilhelmi, Luz M. Iribarne-Durán, Juan P. Arrebola, Nicolás Olea, Francisco
    Environmental Research.2023; 222: 115350.     CrossRef
  • Effect of persistent organic pollutants in patients with ischemic stroke and all stroke: A systematic review and meta-analysis
    Priya Dev, Kamalesh Chakravarty, Manoj Pandey, Rakesh Ranjan, Mareena Cyriac, Vijaya Nath Mishra, Abhishek Pathak
    Toxicology.2023; 494: 153567.     CrossRef
  • Pesticides and insulin resistance-related metabolic diseases: Evidences and mechanisms
    Ali Arab, Sara Mostafalou
    Pesticide Biochemistry and Physiology.2023; 195: 105521.     CrossRef
  • Health risk assessment of exposure to organochlorine pesticides in the general population in Seoul, Korea over 12 years: A cross-sectional epidemiological study
    Sung-Hee Seo, Sung-Deuk Choi, Stuart Batterman, Yoon-Seok Chang
    Journal of Hazardous Materials.2022; 424: 127381.     CrossRef
  • Differential Bioaccumulation Patterns of α, β-Hexachlorobenzene and Dicofol in Adipose Tissue from the GraMo Cohort (Southern Spain)
    Inmaculada Salcedo-Bellido, Esperanza Amaya, Celia Pérez-Díaz, Anabel Soler, Fernando Vela-Soria, Pilar Requena, Rocío Barrios-Rodríguez, Ruth Echeverría, Francisco M. Pérez-Carrascosa, Raquel Quesada-Jiménez, Piedad Martín-Olmedo, Juan Pedro Arrebola
    International Journal of Environmental Research and Public Health.2022; 19(6): 3344.     CrossRef
  • Association of Organochlorine Pesticides With Genetic Markers of Endoplasmic Reticulum Stress in Type 2 Diabetes Mellitus: A Case–Control Study Among the North-Indian Population
    Neha Tawar, Basu Dev Banerjee, Sri Venkata Madhu, Vivek Agrawal, Sanjay Gupta
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Environmental Chemical Contribution to the Modulation of Bile Acid Homeostasis and Farnesoid X Receptor Signaling
    Rulaiha E. Taylor, Anisha Bhattacharya, Grace L. Guo
    Drug Metabolism and Disposition.2022; 50(4): 456.     CrossRef
  • Metabolic syndrome and pesticides: A systematic review and meta-analysis
    Hugo Lamat, Marie-Pierre Sauvant-Rochat, Igor Tauveron, Reza Bagheri, Ukadike C. Ugbolue, Salwan Maqdasi, Valentin Navel, Frédéric Dutheil
    Environmental Pollution.2022; 305: 119288.     CrossRef
  • Impact of Chemical Endocrine Disruptors and Hormone Modulators on the Endocrine System
    Valentina Guarnotta, Roberta Amodei, Francesco Frasca, Antonio Aversa, Carla Giordano
    International Journal of Molecular Sciences.2022; 23(10): 5710.     CrossRef
  • Combinatorial pathway disruption is a powerful approach to delineate metabolic impacts of endocrine disruptors
    Kévin Bernal, Charbel Touma, Chedi Erradhouani, Talía Boronat‐Belda, Lucas Gaillard, Sara Al Kassir, Hélène Le Mentec, Corinne Martin‐Chouly, Normand Podechard, Dominique Lagadic‐Gossmann, Sophie Langouet, François Brion, Anja Knoll‐Gellida, Patrick J. Ba
    FEBS Letters.2022; 596(24): 3107.     CrossRef
  • Gene expression in rat placenta after exposure to di(2-ethylhexyl) phthalate
    Wan Xu, Hongyan Wu, Lixin Shang
    Human & Experimental Toxicology.2021; 40(3): 504.     CrossRef
  • Umweltgifte und ihre hormonelle Wirkung
    Roxana M. Popovici, Barbara Sonntag
    Der Gynäkologe.2021; 54(4): 246.     CrossRef
  • The association between environmental exposures to chlordanes, adiposity and diabetes-related features: a systematic review and meta-analysis
    Vânia Mendes, Cláudia Ribeiro, Inês Delgado, Bárbara Peleteiro, Martine Aggerbeck, Emilie Distel, Isabella Annesi-Maesano, Denis Sarigiannis, Elisabete Ramos
    Scientific Reports.2021;[Epub]     CrossRef
  • Metabolic Syndrome and Endocrine Disrupting Chemicals: An Overview of Exposure and Health Effects
    Elsi Haverinen, Mariana F. Fernandez, Vicente Mustieles, Hanna Tolonen
    International Journal of Environmental Research and Public Health.2021; 18(24): 13047.     CrossRef
  • Smokeless tobacco use: its prevalence and relationships with dental symptoms, nutritional status and blood pressure among rural women in Burkina Faso
    Jeoffray Diendéré, Augustin Nawidimbasba Zeba, Léon Nikièma, Ahmed Kaboré, Paul Windinpsidi Savadogo, Somnoma Jean-Baptiste Tougma, Halidou Tinto, Arouna Ouédraogo
    BMC Public Health.2020;[Epub]     CrossRef
  • Persistent Organic Pollutant-Mediated Insulin Resistance
    Yeon Kim, Joon Park, Min Woo, Sang Lee, Hye Kim, Young Yoo
    International Journal of Environmental Research and Public Health.2019; 16(3): 448.     CrossRef
  • Blood Concentrations of Persistent Organic Pollutants and Unhealthy Metabolic Phenotypes in Normal-Weight, Overweight, and Obese Individuals
    Magda Gasull, Conxa Castell, Natàlia Pallarès, Carme Miret, José Pumarega, María Téllez-Plaza, Tomàs López, Jordi Salas-Salvadó, Duk-Hee Lee, Albert Goday, Miquel Porta
    American Journal of Epidemiology.2018; 187(3): 494.     CrossRef
  • “Trans-nonachlor increases extracellular free fatty acid accumulation and de novo lipogenesis to produce hepatic steatosis in McArdle-RH7777 cells”
    George Eli Howell, Erin McDevitt, Lucie Henein, Charlee Mulligan, Darian Young
    Toxicology in Vitro.2018; 50: 285.     CrossRef
  • Effects on the reproductive parameters of two generations ofRattus norvegicusoffspring from dams exposed to heptachlor during gestation and lactation
    Alejandra Martínez-Ibarra, Sumiko Morimoto, Marco Cerbón, Guadalupe Prado-Flores
    Environmental Toxicology.2017; 32(3): 856.     CrossRef
  • Exposure to an environmentally relevant mixture of organochlorine compounds and polychlorinated biphenyls Promotes hepatic steatosis in male Ob/Ob mice
    Charlee Mulligan, Sandeep Kondakala, Eun‐Ju Yang, John V. Stokes, James A. Stewart, Barbara L. F. Kaplan, George E. Howell
    Environmental Toxicology.2017; 32(4): 1399.     CrossRef
  • Mixture effects of 30 environmental contaminants on incident metabolic syndrome—A prospective study
    Lars Lind, Samira Salihovic, Erik Lampa, P. Monica Lind
    Environment International.2017; 107: 8.     CrossRef
  • Human adipose tissue levels of persistent organic pollutants and metabolic syndrome components: Combining a cross-sectional with a 10-year longitudinal study using a multi-pollutant approach
    Vicente Mustieles, Mariana F. Fernández, Piedad Martin-Olmedo, Beatriz González-Alzaga, Andrés Fontalba-Navas, Russ Hauser, Nicolás Olea, Juan P. Arrebola
    Environment International.2017; 104: 48.     CrossRef
  • Metabolic syndrome is associated with exposure to organochlorine pesticides in Anniston, AL, United States
    Paula F. Rosenbaum, Ruth S. Weinstock, Allen E. Silverstone, Andreas Sjödin, Marian Pavuk
    Environment International.2017; 108: 11.     CrossRef
  • Endocrine‐disrupting chemicals, risk of type 2 diabetes, and diabetes‐related metabolic traits: A systematic review and meta‐analysis
    Yan Song, Elizabeth L. Chou, Aileen Baecker, Nai‐Chieh Y. You, Yiqing Song, Qi Sun, Simin Liu
    Journal of Diabetes.2016; 8(4): 516.     CrossRef
  • Article Commentary: Effects of Environmental Pollutants on Cellular Iron Homeostasis and Ultimate Links to Human Disease
    Dina M. Schreinemachers, Andrew J. Ghio
    Environmental Health Insights.2016; 10: EHI.S36225.     CrossRef
  • Persistent organic pollutants and promoter hypermethylation of the O6-methylguanine-DNA methyltransferase gene
    Soo Yeun Park, Ki-Su Kim, Yu-Mi Lee, Mi-Jin Kim, David R. Jacobs, Miquel Porta, Dong-Sun Kim, Duk-Hee Lee
    Biomarkers.2015; 20(2): 136.     CrossRef
  • Association of persistent organic pollutants and non-persistent pesticides with diabetes and diabetes-related health outcomes in Asia: A systematic review
    Lindsay M. Jaacks, Lisa R. Staimez
    Environment International.2015; 76: 57.     CrossRef
  • Endokrin wirkende Umweltgifte
    Roxana M. Popovici
    Gynäkologische Endokrinologie.2015; 13(3): 168.     CrossRef
  • Di-(2-Ethylhexyl)-Phthalate (DEHP) Causes Impaired Adipocyte Function and Alters Serum Metabolites
    Nora Klöting, Nico Hesselbarth, Martin Gericke, Anne Kunath, Ronald Biemann, Rima Chakaroun, Joanna Kosacka, Peter Kovacs, Matthias Kern, Michael Stumvoll, Bernd Fischer, Ulrike Rolle-Kampczyk, Ralph Feltens, Wolfgang Otto, Dirk K. Wissenbach, Martin von
    PLOS ONE.2015; 10(12): e0143190.     CrossRef
  • Umweltgifte und ihre hormonelle Wirkung
    R.M. Popovici
    Humanmedizin kompakt.2014;[Epub]     CrossRef
  • Prospective associations between persistent organic pollutants and metabolic syndrome: A nested case–control study
    Yu-Mi Lee, Ki-Su Kim, Se-A Kim, Nam-Soo Hong, Su-Jin Lee, Duk-Hee Lee
    Science of The Total Environment.2014; 496: 219.     CrossRef
  • Association of Persistent Organic Pollutants (POPs) with Age and Body Mass Index in Korean Adults
    Ho Jung Moon, Jung-Eun Lim, Sun Ha Jee
    Korean Journal of Environmental Health Sciences.2014; 40(6): 442.     CrossRef
  • Perinatal Exposure to Low-Dose Methoxychlor Impairs Testicular Development in C57BL/6 Mice
    Xiaohong Du, Hua Zhang, Yuanwu Liu, Wanpeng Yu, Chaobin Huang, Xiangdong Li, Stefan Schlatt
    PLoS ONE.2014; 9(7): e103016.     CrossRef
  • TCDD-Elicited Effects on Liver, Serum, and Adipose Lipid Composition in C57BL/6 Mice
    Michelle Manente Angrish, Claudia Yvette Dominici, Timothy Richard Zacharewski
    Toxicological Sciences.2013; 131(1): 108.     CrossRef
  • Developmental origins of obesity and type 2 diabetes: molecular aspects and role of chemicals
    Hidekuni Inadera
    Environmental Health and Preventive Medicine.2013; 18(3): 185.     CrossRef
  • Agricultural Exposures and Stroke Mortality in the Agricultural Health Study
    Jessica L. Rinsky, Jane A. Hoppin, Aaron Blair, Ka He, Laura E. Beane Freeman, Honglei Chen
    Journal of Toxicology and Environmental Health, Part A.2013; 76(13): 798.     CrossRef
  • Umweltgifte und ihre hormonelle Wirkung
    R.M. Popovici
    Gynäkologische Endokrinologie.2013; 11(3): 213.     CrossRef
  • Can persistent organic pollutants and plastic‐associated chemicals cause cardiovascular disease?
    L. Lind, P. M. Lind
    Journal of Internal Medicine.2012; 271(6): 537.     CrossRef
  • Systematic evaluation of environmental factors: persistent pollutants and nutrients correlated with serum lipid levels
    Chirag J Patel, Mark R Cullen, John PA Ioannidis, Atul J Butte
    International Journal of Epidemiology.2012; 41(3): 828.     CrossRef
  • Endocrine Disruptors: From Endocrine to Metabolic Disruption
    Cristina Casals-Casas, Béatrice Desvergne
    Annual Review of Physiology.2011; 73(1): 135.     CrossRef
  • Developmental exposure to di(2-ethylhexyl) phthalate impairs endocrine pancreas and leads to long-term adverse effects on glucose homeostasis in the rat
    Yi Lin, Jie Wei, Yuanyuan Li, Jun Chen, Zhao Zhou, Liqiong Song, Zhengzheng Wei, Ziquan Lv, Xi Chen, Wei Xia, Shunqing Xu
    American Journal of Physiology-Endocrinology and Metabolism.2011; 301(3): E527.     CrossRef
English Abstracts
Lifestyle and Metabolic Syndrome among Male Workers in an Electronics Research and Development Company.
Jun Pyo Myong, Hyoung Ryoul Kim, Yong Kyu Kim, Jung Wan Koo, Chung Yill Park
J Prev Med Public Health. 2009;42(5):331-336.
DOI: https://doi.org/10.3961/jpmph.2009.42.5.331
  • 4,796 View
  • 60 Download
  • 6 Crossref
AbstractAbstract PDF
OBJECTIVES
The objectives of this study were to determine the relationship between lifestyle-implementation and metabolic syndrome in an electronics research and development company, and to provide a foundation for health providers of health management programs for setting priorities. METHODS: From July 1 to July 16, 2008 we carried out a descriptive cross-sectional survey. Consecutive workers of one R & D company in Seoul, Korea (N=2,079) were enrolled in study. A checklist for lifestyle (from the National Health Insurance Corporation) consisted of questions regarding diet, drinking, smoking and exercise. After the survey, researchers obtained data from health profiles for metabolic syndrome(waist-circumference, triglycerides, HDL cholesterol, blood pressure and fasting blood sugar level). Lifestyle was recorded as good or not good. Statistical analysis of metabolic syndrome and the lifestyle of subjects was done using multiple logistic regression analysis. RESULTS: The prevalence of metabolic syndrome in our study gropu was 13.3% (N=277). After adjustment for age, the adjusted odds ratios (odds ratio, 95% confidence intervals) for metabolic syndrome increased in proportion to the number of bad habits: two (1.72, 1.23-2.44), three (2.47, 1.73-3.56), and four (3.63, 2.03-6.34). Relative to subjects eating both vegetables and meat', the OR for 'meat' eaters was 1.66 (1.18-2.31). Compared with 'non-smokers and ever-smoker', the OR for 'current-smoker' was 1.62 (1.25-2.10). Compared with 'Healthy drinker', the OR for 'unhealthy drinker' was 1.38 (1.05-1.83). CONCLUSIONS: Poor lifestyle was associated with an increased likelihood of metabolic syndrome. These findings suggest that lifestyle-based occupational health interventions for young employees should include a specific diet, smoking cessation, and healthy-drinking programs.
Summary

Citations

Citations to this article as recorded by  
  • Metabolic Syndrome Among Human Immunodeficiency Virus Patients on Antiretroviral Therapy Attending Clinic at a District Hospital in Ghana
    Prince Osei Akumiah, Kwabena Opoku-Addai, Adwoa Safowaa, Akosua Serwaa Akumiah
    SN Comprehensive Clinical Medicine.2023;[Epub]     CrossRef
  • Factors associated with metabolic syndrome among Korean office workers
    Hosihn Ryu, Dal Lae Chin
    Archives of Environmental & Occupational Health.2017; 72(5): 249.     CrossRef
  • Relation of Health Promotion Behaviors and Metabolic Syndrome in Daytime Workers
    Dae-Sik Ko, Bu-Yeon Park, Gyeong-Hyu Seok
    The Journal of the Korea institute of electronic communication sciences.2013; 8(12): 1941.     CrossRef
  • Actual Cardiovascular Disease Risk and Related Factors: A Cross-sectional Study of Korean Blue Collar Workers Employed by Small Businesses
    Jong Uk Won, Oi Saeng Hong, Won Ju Hwang
    Workplace Health & Safety.2013; 61(4): 163.     CrossRef
  • Actual Cardiovascular Disease Risk and Related Factors
    Jong Uk Won, Oi Saeng Hong, Won Ju Hwang
    Workplace Health & Safety.2013; 61(4): 163.     CrossRef
  • Prevalence and Associated Risk Factors of the Metabolic Syndrome in the Korean Workforce
    Dae Ryong KANG, Yeongmi HA, Won Ju HWANG
    Industrial Health.2013; 51(3): 256.     CrossRef
Associations of Non Alcoholic Fatty Liver with the Metabolic Syndrome and Serum Carotenoids.
Sun kyun Park, Hyun Jung Lee, Duk Hee Lee, Sung Kook Lee, Byung Yeol Chun, Sung Ae Kim, Hye Sung Lee, Hyo Kyung Son, Sung Hi Kim
J Prev Med Public Health. 2008;41(1):39-44.
DOI: https://doi.org/10.3961/jpmph.2008.41.1.39
  • 5,551 View
  • 66 Download
  • 9 Crossref
AbstractAbstract PDF
OBJECTIVES
This study was conducted to investigate the associations of non alcoholic fatty liver with metabolic syndrome and the serum carotenoids. METHODS: This study was conducted in a general hospital in South Korea from November, 2004 to August, 2005. The study subjects were 350 sampled persons who were aged from 40 years and older (males: 180, females: 170). They were grouped into the normal, mild and severe groups according to fat accumulation in their livers, as determined by ultrasonography. We analyzed the association between non alcoholic fatty liver and metabolic syndrome by multiple logistic regression analysis and we analyzed the association between non alcoholic fatty liver and the serum carotenoids by a general linear model(ANCOVA). RESULTS: After adjustment for the effect of potential covariates, the prevalence of metabolic syndrome was associated with fat accumulation in the liver (p trend <0.001). If the odds ratio of normal group is 1.00, then that of the mild group is 2.80 (95% C.I=1.17-6.71) and that of the severe group is 7.29 (95% C.I=2.76-19.30). The prevalence of metabolic alterations fitting the criteria of metabolic syndrome, according to the class of fat accumulation in the liver, was significantly increased, except for criteria of high blood pressure, a large waist circumference and low HDL (high density lipoprotein) cholesterol level (p trend <0.001). The level of serum beta-carotene was decreased according to the class of fat accumulation in the liver (p trend=0.036), but the levels of serum alpha-carotene, lycopene, bata-cryptoxanthin and lutein were not decreased. CONCLSIONS: This study shows that non alcoholic fatty liver was associated with metabolic syndrome and with the serum beta-carotene level.
Summary

Citations

Citations to this article as recorded by  
  • Therapeutic potential of bioactive phytoconstituents found in fruits in the treatment of non-alcoholic fatty liver disease: A comprehensive review
    Manash Pratim Pathak, Kalyani Pathak, Riya Saikia, Urvashee Gogoi, Pompy Patowary, Pronobesh Chattopadhyay, Aparoop Das
    Heliyon.2023; 9(4): e15347.     CrossRef
  • The Protection Conferred by HSD17B13 rs72613567 Polymorphism on Risk of Steatohepatitis and Fibrosis May Be Limited to Selected Subgroups of Patients With NAFLD
    Eduardo Vilar-Gomez, Carlos J. Pirola, Silvia Sookoian, Laura A. Wilson, Tiebing Liang, Naga Chalasani
    Clinical and Translational Gastroenterology.2021; 12(9): e00400.     CrossRef
  • Trends and Patterns of Burden of Disease and Injuries in Korea Using Disability-Adjusted Life Years
    Young-Eun Kim, Hyesook Park, Min-Woo Jo, In-Hwan Oh, Dun-Sol Go, Jaehun Jung, Seok-Jun Yoon
    Journal of Korean Medical Science.2019;[Epub]     CrossRef
  • Dietary Carotenoids and Non-Alcoholic Fatty Liver Disease among US Adults, NHANES 2003–2014
    Krista Christensen, Thomas Lawler, Julie Mares
    Nutrients.2019; 11(5): 1101.     CrossRef
  • Central obesity and nonalcoholic fatty liver disease risk after adjusting for body mass index
    Qing Pang
    World Journal of Gastroenterology.2015; 21(5): 1650.     CrossRef
  • Association Between Liver Vitamin A Reserves and Severity of Nonalcoholic Fatty Liver Disease in the Class III Obese Following Bariatric Surgery
    Gabriela Villaça Chaves, Sílvia Elaine Pereira, Carlos José Saboya, Daiane Spitz, Camila Santos Rodrigues, Andréa Ramalho
    Obesity Surgery.2014; 24(2): 219.     CrossRef
  • Association of oral health behaviors and status with depression: results from the Korean National Health and Nutrition Examination Survey, 2010
    Se Jin Park, Ki Dong Ko, Seung-Il Shin, Yu Jeong Ha, Gy Young Kim, Hyoung Ah Kim
    Journal of Public Health Dentistry.2014; 74(2): 127.     CrossRef
  • Measuring the burden of chronic diseases in Korea in 2007
    E.-J. Kim, S.-J. Yoon, M.-W. Jo, H.-J. Kim
    Public Health.2013; 127(9): 806.     CrossRef
  • The Association of Cardiovascular Risk Factors with Nonalcoholic Fatty Liver Disease in Health Checkup Examinees
    Jae-Hee Yu, Kang-Sook Lee, Seon-Young Lee, A-Rum Hong, Yong-Sang Park
    Journal of Preventive Medicine and Public Health.2008; 41(6): 407.     CrossRef
The Relationship between Metabolic Syndrome and Korean Cardiocerebrovascular Risk Assessment: for Male Researchers in a Workplace.
Jongwan Yoon, Kyungjin Yi, Janggyun Oh, Sangyun Lee
J Prev Med Public Health. 2007;40(5):397-403.
DOI: https://doi.org/10.3961/jpmph.2007.40.5.397
  • 5,216 View
  • 35 Download
  • 7 Crossref
AbstractAbstract PDF
OBJECTIVES
The prevalence of metabolic syndrome has recently increased. Payments from the Korea Labor Welfare Corporation for compensation for mortality in workers caused by cardiovascular and cerebrovascular diseases have also increased in Korea in recent years. The association of metabolic syndrome and cardiocere brovascular disease has been investigated by several researchers in recent studies. This study was conducted in an attempt to characterize the relationship between metabolic syndrome and Korean cardiocerebrovascular disease risk assessment, and to provide basic data to group health practices for the prevention of cardiocere brovascular disease. METHODS: Health examinations were previously conducted for 1526 male researchers at a private laboratory. The prevalence by age and the odds ratio of metabolic syndrome scores into the "cardiocerebrovascular risk group" (sum of low, intermediate, and high risk groups) of the Korean cardiocerebrovascular disease risk assessment were assessed, in an effort to elucidate the associations between metabolic syndrome and cardiocere brovascular disease risk assessment. RESULTS: The prevalence of metabolic syndrome and inclusion in the cardiocerebrovascular risk group was 11.7% and 22.1% respectively. The severity of metabolic syndrome and cardiocerebrovascular risk assessment showed that individuals in their 40's and 50's were at higher risk than those in their 30's (p<0.001). The age-adjusted odds ratio of metabolic syndrome to cardiocere brovascular risk group inclusion was 5.6. CONCLUSIONS: An active prevention program for cardiocerebrovascular disease needs to begin in the 40's, as the prevalence of metabolic syndrome and the risk group of cardiocerebrovascular risk assessment peak in the 40's age group. The odds ratio between metabolic syndrome and the cardiocerebrovascular risk group was high, which indicates that metabolic syndrome scores should be utilized as guidelines during the consultation and behavioral modification program for the workplace prevention of cardiocerebrovascular diseases in group health practices.
Summary

Citations

Citations to this article as recorded by  
  • Effect of psychosocial factors on metabolic syndrome in male and female blue‐collar workers
    Won Ju HWANG, Chung Yul LEE
    Japan Journal of Nursing Science.2014; 11(1): 23.     CrossRef
  • Prevalence of Metabolic Syndrome and Its Predicting Factors among Small-sized Company Workers
    Soo Kyoung Choi, Jeong A Jo, Seon Young Hwang
    Korean Journal of Adult Nursing.2014; 26(2): 244.     CrossRef
  • Relation of Health Promotion Behaviors and Metabolic Syndrome in Daytime Workers
    Dae-Sik Ko, Bu-Yeon Park, Gyeong-Hyu Seok
    The Journal of the Korea institute of electronic communication sciences.2013; 8(12): 1941.     CrossRef
  • Actual Cardiovascular Disease Risk and Related Factors: A Cross-sectional Study of Korean Blue Collar Workers Employed by Small Businesses
    Jong Uk Won, Oi Saeng Hong, Won Ju Hwang
    Workplace Health & Safety.2013; 61(4): 163.     CrossRef
  • Actual Cardiovascular Disease Risk and Related Factors
    Jong Uk Won, Oi Saeng Hong, Won Ju Hwang
    Workplace Health & Safety.2013; 61(4): 163.     CrossRef
  • Relationship between coronary heart disease, metabolic syndrome, energy expenditure, body composition, kidney function and low-grade inflammation among bank African employees in Brazzaville
    T. Gombet, B. Longo-Mbenza, B. Ellenga-Mbolla, M.S. Ikama, G. Kimbally-Kaky, J.L. Nkoua
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2010; 4(4): 197.     CrossRef
  • Lifestyle and Metabolic Syndrome among Male Workers in an Electronics Research and Development Company
    Jun Pyo Myong, Hyoung Ryoul Kim, Yong Kyu Kim, Jung-Wan Koo, Chung Yill Park
    Journal of Preventive Medicine and Public Health.2009; 42(5): 331.     CrossRef

JPMPH : Journal of Preventive Medicine and Public Health