Skip Navigation
Skip to contents

JPMPH : Journal of Preventive Medicine and Public Health

OPEN ACCESS
SEARCH
Search

Author index

Page Path
HOME > Browse Articles > Author index
Search
Sun Kyun Park 4 Articles
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
  • 5,818 View
  • 134 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 A. Kim, Joon Beom Park, Min Seok Woo, Sang Yeob Lee, Hye Young Kim, Young Hyun 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
The Factors Associated with Changes in the Stage of Breast Cancer Screening Behavior among the Woman who are Eligible for the Korean National Cancer Screening Program.
Hyo Kyung Son, Sin Kam, Ki Soo Park, Jang Rak Kim, Rock Bum Kim, Sun Kyun Park
J Prev Med Public Health. 2009;42(2):109-116.
DOI: https://doi.org/10.3961/jpmph.2009.42.2.109
  • 4,562 View
  • 56 Download
  • 4 Crossref
AbstractAbstract PDF
OBJECTIVES
This study was performed to evaluate the relationships between psychosocial characteristics and changes in the stage of breast cancer screening behavior. METHODS: The 474 study subjects were randomly sampled from 21,459 women (age range, 40-70 years) who were eligible for the Korean National Cancer Screening Program in 2006 in Jinju, Gyeongsangnam-do. The information, including behaviors and sociodemographic characteristics, attitudes, subjective norms and self-efficacy, was collected by trained interviewers via home visits. The breast cancer screening stages were grouped as precontemplation, contemplation, action, maintenance and relapse, according to Rakowski. RESULTS: Of the 474 women, 18.8% were in the precontemplation stage, 23.3% were in the contemplation stage, 13.1% were in the action stage, 36.6% were in the maintenance stage, and 8.2% were in the relapse stage. The distribution of stages was associated with attitude, subjective norms and self-efficacy (p for trend<0.01). To investigate the overall relationship between the variables, we conducted a linear structural equation model analysis based on the theory of planned behavior. The subjective norms and self-efficacy influenced the stage of the women's screening behavior. CONCLUSIONS: We should target on self-efficacy about the screening behavior of women by performing timely, thoughtful interventions. The support from family members, friends and other people is crucial for women to undergo breast cancer screening and to improve the breast cancer screening rate.
Summary

Citations

Citations to this article as recorded by  
  • Factor structure and internal reliability of cultural belief scales about colorectal cancer screening among Koreans in the Republic of Korea
    Shin-Young Lee
    BMC Public Health.2018;[Epub]     CrossRef
  • Physical activity, social support and participation of women knowledge about cervical cancer screening, the screening attitude multiplicative influence of cervical cancer screening
    Yun-Hwa Ko
    Journal of Digital Convergence.2016; 14(7): 439.     CrossRef
  • Study on the Factors Related With Intention of Cancer Screening Among Korean Residents
    Bong Ki Kim, Heui Sug Jo, Hey Jean Lee
    Asia Pacific Journal of Public Health.2015; 27(2): NP2133.     CrossRef
  • Psychosocial predictors of four health‐promoting behaviors for cancer prevention using the stage of change of Transtheoretical Model
    Jean H. Choi, Kyong‐Mee Chung, Keeho Park
    Psycho-Oncology.2013; 22(10): 2253.     CrossRef
The Factors Implicated When an Individual Starts to Smoke Again After a 6 Month Cessation.
Hyo Kyung Son, Un Young Jung, Ki Soo Park, Sin Kam, Sun Kyun Park, Won Kee Lee
J Prev Med Public Health. 2009;42(1):42-48.
DOI: https://doi.org/10.3961/jpmph.2009.42.1.42
  • 4,900 View
  • 67 Download
  • 12 Crossref
AbstractAbstract PDF
OBJECTIVES
This study was conducted to examine the factors implicated when people start smoking again after a 6 month cessation, and was carried out at the smoking cessation clinic of a public health center. METHODS: The study subjects were 191 males who had attended the smoking cessation clinic of a public health center for 6 months in an attempt to quit smoking. Data was collected, by phone interview, regarding individual smoking habits, if any, over the 6 month study period. The factors which may have caused an individual to smoke again were examined. This study employed a health belief model as it theoretical basis. RESULTS: Following a 6 month cessation, 24.1% of the study group began to smoke again during the 6 month test period. In a simple analysis, the factors related to individuals relapsing and smoking again included barriers of stress reduction, body weight gain and induction of smoking by surroundings among perceived barriers factor of our health belief model (p<0.05). In multiple logistic regression analysis for relapsed smoking, significant factors included barriers of stress reduction and induction of smoking by surroundings (p<0.05). The most important reason of for an individual to relapse into smoking was stress (60.9%) and the most likely place for a relapse to occur was a drinking establishment (39.1%). CONCLUSIONS: Our results indicate that both regular consultations and a follow-up management program are important considerations in a public health center program geared towards maintaining smoking cessation.
Summary

Citations

Citations to this article as recorded by  
  • Factors associated with long-term smoking relapse in those who succeeded in smoking cessation using regional smoking cessation programs
    Seung Hun Lee, Yu Hyeon Yi, Young In Lee, Hyo Young Lee, Kyoung-Min Lim
    Medicine.2022; 101(31): e29595.     CrossRef
  • Factors Related to Smoking Recurrence within Six-months Smoking Cessation among Employees in Enterprises with Smaller than 300 Workers
    Byung Jun Jin, Chul-Woung Kim, Seung Eun Lee, Hyo-Bin Im, Tae-Yong Lee
    Journal of Korean Academy of Community Health Nursing.2021; 32(1): 107.     CrossRef
  • Factors related to the smoking relapse of out-of-school adolescents
    Ji Eun Bae, Chul-Woung Kim, Seung Eun Lee, Hyo-Bin Im, In Young Kim, Tae-Yong Lee, Sang-Yi Lee, Myungwha Jang
    Korean Journal of Health Education and Promotion.2021; 38(3): 13.     CrossRef
  • Re-smoking and related factors of prisoners after release who were in a forced smoking cessation environment for 1 year or more
    Jina Jung, Hae-Sung Nam
    Korean Journal of Health Education and Promotion.2019; 36(3): 27.     CrossRef
  • Factors Related to Smoking Relapse among Military Personnel in Korea: Data from Smoking Cessation Clinics, 2015–2017
    Eunjoo Kwon, Eun-Hee Nah
    Korean Journal of Health Promotion.2018; 18(3): 138.     CrossRef
  • Short-Term Impact of a Comprehensive Smoke-Free Law Following a Partial Smoke-Free Law on PM2.5 Concentration Levels at Hospitality Venues on the Peripheries of College Campuses
    Sol Yu, Wonho Yang, Kiyoung Lee, Sungcheon Kim, Kwonchul Ha, Sungroul Kim
    International Journal of Environmental Research and Public Health.2015; 12(11): 14034.     CrossRef
  • Factors Associated with Failure in The Continuity of Smoking Cessation Among 6 Month's Smoking Cessation Succeses in the Smoking Cessation Clinic of Public Health Center
    Hyeon-Soon Choi, Hae-Sook Sohn, Yun-Hee Kim, Myeong-Jin Lee
    Journal of the Korea Academia-Industrial cooperation Society.2012; 13(10): 4653.     CrossRef
  • Smoking Relapse and Related Factors Within One Year Among Successes of the Smoking Cessation Clinics of Public Health Centers
    Mi Jag Kim, Ihn Sook Jeong
    Journal of Preventive Medicine and Public Health.2011; 44(2): 84.     CrossRef
  • Evidence-based smoking cessation counseling: motivational intervention and relapse prevention
    Soon-Woo Park
    Journal of the Korean Medical Association.2011; 54(10): 1036.     CrossRef
  • The Patterns and Risk Factors of Smoking Relapse among People Successful in Smoking Cessation at the Smoking Cessation Clinics of Public Health Centers
    Yi Soon Kim, Yun Hee Kim
    Journal of Korean Academy of Community Health Nursing.2011; 22(4): 365.     CrossRef
  • Factors Associated with Relapse to Smoking Behavior Using Health Belief Model
    Hee-Suk Kim, Sang-Soo Bae
    Journal of agricultural medicine and community health.2011; 36(2): 87.     CrossRef
  • A Longitudinal Study on the Causal Association Between Smoking and Depression
    Eunjeong Kang, Jaehee Lee
    Journal of Preventive Medicine and Public Health.2010; 43(3): 193.     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
  • 5,637 View
  • 67 Download
  • 10 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  
  • Estimation of Attributable Risk and Direct Medical and Non-Medical Costs of Major Mental Disorders Associated With Air Pollution Exposures Among Children and Adolescents in the Republic of Korea, 2011–2019
    Yae Won Ha, Tae Hyun Kim, Dae Ryong Kang, Ki-Soo Park, Dong Chun Shin, Jaelim Cho, Changsoo Kim
    Journal of Korean Medical Science.2024;[Epub]     CrossRef
  • 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

JPMPH : Journal of Preventive Medicine and Public Health