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"Jungeun Kim"

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"Jungeun Kim"

Original Articles
Association between Cigarette Smoking and Sarcopenia according to Obesity in the Middle-Aged and Elderly Korean Population: The Korea National Health and Nutrition Examination Survey (2008–2011)
Yoonjoo Jo, John Alderman Linton, Junho Choi, Junghae Moon, Jungeun Kim, Jiyoung Lee, Sinae Oh
Korean J Fam Med 2019;40(2):87-92.   Published online March 20, 2019
DOI: https://doi.org/10.4082/kjfm.17.0078
Background
The definition of sarcopenia focuses on muscle mass and function. Sarcopenic obesity is the relative excess of fat tissue with decreased muscle mass. We examined the association between cigarette smoking and sarcopenia according to obesity in middle-aged and elderly Koreans.
Methods
We conducted a cross-sectional study of 9,385 subjects (age ≥50 years) based on data from the fourth and fifth Korea National Health and Nutrition Examination Surveys (2008–2011). Smoking groups were categorized by smoking status and the number of cigarettes smoked daily. Sarcopenia was defined as weight-adjusted appendicular skeletal muscle mass of 2 standard deviations below the sex-specific mean for young adults. Obesity was defined as fat mass ≥30% for men and ≥40% for women. Subjects were categorized into three groups: sarcopenic obese (SO), sarcopenic non-obese (SNO), and normal. Multiple logistic regression analysis was performed to assess the association between smoking and SNO and SO.
Results
Among men, current smokers were more associated with SNO than never-smokers (adjusted odds ratio [OR], 3.34; 95% confidence interval [CI], 1.09–10.26). However, there was no significant association between smoking status and SNO in women or SO in either sex. Among current smokers, moderate smokers (11–20 cigarettes/d) were more likely to be SNO (adjusted OR, 5.81; 95% CI, 1.12–30.31) and heavy smokers (>20 cigarettes/d) were more likely to be SO (adjusted OR, 9.53; 95% CI, 1.65–55.01) than light smokers (<11 cigarettes/d).
Conclusion
In men, smoking was positively associated with SNO, and heavy smokers were more likely to be SO than light smokers.

Citations

Citations to this article as recorded by  
  • Prevalence of and risk factors for sarcopenia in patients with epilepsy
    Yu-Shiue Chen, Hung-Ling Huang, Huai-Hsien Huang, Tzu-Hsin Huang, Ming-Chi Lai, Chin-Wei Huang
    Seizure: European Journal of Epilepsy.2025; 125: 162.     CrossRef
  • Reliability and Clinical Validity of the SARC-Global Questionnaire for Sarcopenia and Sarcopenic Obesity in Spanish Older Adults
    Juan Manuel Guardia-Baena, María del Carmen Carcelén-Fraile, Fidel Hita-Contreras, Agustín Aibar-Almazán, María de los Ángeles Arévalo-Ruíz, María Aurora Mesas-Aróstegui, Raquel Fábrega-Cuadros
    Nutrients.2025; 17(7): 1206.     CrossRef
  • Association between triglyceride-glucose index and sarcopenic obesity in adults: a population-based study
    Zhengmei Zhao, Ruiting Cai, Lili Tao, Yuxiao Sun, Keping Sun
    Frontiers in Nutrition.2025;[Epub]     CrossRef
  • Oxidative balance score is inversely associated with low muscle mass in young and middle-aged adults: a cross-sectional NHANES study
    Weiliang Kong, Jiayuan Ye, Shuaiqin Dai, Xiaowei Xia, Jingjing Hu, Weiping Ding, Hui Li, Yilian Xie, Chao Cao
    BMC Musculoskeletal Disorders.2025;[Epub]     CrossRef
  • Multifactorial Determinants of Body Composition in the Korean Older Adults: Using Data from the 2022–2023 National Health and Nutrition Examination Survey
    Moonkyoung Park, ThiThu-Huyen Do, Jinsun Park
    Nutrients.2025; 17(9): 1477.     CrossRef
  • The Theoretical and Practical Research of Traditional Chinese Medicine in the Prevention and Treatment of Sarcopenia
    Chunlin Hu, Xin Bao
    Journal of Contemporary Medical Practice.2024; 6(10): 42.     CrossRef
  • Gene polymorphisms associated with heterogeneity and senescence characteristics of sarcopenia in chronic obstructive pulmonary disease
    Amy H. Attaway, Annette Bellar, Nicole Welch, Jinendiran Sekar, Avinash Kumar, Saurabh Mishra, Umur Hatipoğlu, Merry‐Lynn McDonald, Elizabeth A. Regan, Jonathan D. Smith, George Washko, Raúl San José Estépar, Peter Bazeley, Joe Zein, Srinivasan Dasarathy
    Journal of Cachexia, Sarcopenia and Muscle.2023; 14(2): 1083.     CrossRef
  • Higher dietary protein intake is associated with sarcopenia in older British twins
    Mary Ni Lochlainn, Ruth C E Bowyer, Ailsa A Welch, Kevin Whelan, Claire J Steves
    Age and Ageing.2023;[Epub]     CrossRef
  • The Role of Smoking in the Mechanisms of Development of Chronic Obstructive Pulmonary Disease and Atherosclerosis
    Stanislav Kotlyarov
    International Journal of Molecular Sciences.2023; 24(10): 8725.     CrossRef
  • Association between systemic immune-inflammation index and low muscle mass in US adults: a cross-sectional study
    Lin Shi, Liang Zhang, Dan Zhang, Zhuo Chen
    BMC Public Health.2023;[Epub]     CrossRef
  • Relationship between DNA methylation changes and skeletal muscle mass
    Jeong-An Gim, Sang-Yeob Lee, Seung Chan Kim, Kyung-Wan Baek, Sung Hyo Seo, Jun-Il Yoo
    BMC Genomic Data.2023;[Epub]     CrossRef
  • Tissue-specific mitochondrial toxicity of cigarette smoke concentrate: consequence to oxidative phosphorylation
    Stephen T. Decker, Alexs A. Matias, Adolfo E. Cuadra, Sean T. Bannon, Jack P. Madden, M. Enes Erol, Corinna Serviente, Karine Fenelon, Gwenael Layec
    American Journal of Physiology-Heart and Circulatory Physiology.2023; 325(5): H1088.     CrossRef
  • Association between smoking status and handgrip strength in Korean male adults: based on Korea National Health and Nutrition Examination Survey 2016–2019
    Eunbyul Cho, Hi Sun Soh, Jae-Ryun Lee, Jieun Yun, Woo Kyung Bae, Hyejin Lee
    Frontiers in Medicine.2023;[Epub]     CrossRef
  • Sleep duration and sarcopenia in adults aged ≥ 65 years from low and middle-income countries
    Lee Smith, Jae Il Shin, Nicola Veronese, Pinar Soysal, Guillermo F. López Sánchez, Damiano Pizzol, Jacopo Demurtas, Mark A. Tully, Yvonne Barnett, Laurie Butler, Ai Koyanagi
    Aging Clinical and Experimental Research.2022; 34(7): 1573.     CrossRef
  • Relationship between sarcopenia and cardiovascular disease risk among Taiwanese older adults
    Yuan-Yuei Chen, Wei-Liang Chen, Tao-Chun Peng, Fang-Yih Liaw, Yuan-Ping Chao, Tung-Wei Kao
    Public Health Nutrition.2022; 25(7): 1745.     CrossRef
  • Obesity, dynapenia, and their combination: Implications for bone mineral density in Brazilian adults—the Pró-Saúde study
    Amina Chain, Eduardo Faerstein, Vivian Wahrlich, Flavia F. Bezerra
    Nutrition.2021; 81: 110898.     CrossRef
  • Relationship between smoking and the incidence of sarcopenia: The SarcoPhAge cohort
    M. Locquet, O. Bruyère, L. Lengelé, J.Y. Reginster, C. Beaudart
    Public Health.2021; 193: 101.     CrossRef
  • Skeletal System Biology and Smoke Damage: From Basic Science to Medical Clinic
    Umberto Tarantino, Ida Cariati, Chiara Greggi, Elena Gasbarra, Alberto Belluati, Luigi Ciolli, Giulio Maccauro, Alberto Momoli, Simone Ripanti, Francesco Falez, Maria Luisa Brandi
    International Journal of Molecular Sciences.2021; 22(12): 6629.     CrossRef
  • Association of Cigarette Smoking with Muscle Mass Reduction and Low Muscle Strength in Community-Dwelling Elderly Men
    Eriko NOGAMI, Nobuyuki MIYAI, Yan ZHANG, Masato SAKAGUCHI, Hiroko HAYAKAWA, Sonomi HATTORI, Miyoko UTSUMI, Yuji UEMATSU, Mikio ARITA
    Nippon Eiseigaku Zasshi (Japanese Journal of Hygiene) .2021; 76: n/a.     CrossRef
  • Sarcopenia in Liver Transplantation: an Update
    A. Dhaliwal, F. R. Williams, O. El-sherif, Matthew J. Armstrong
    Current Hepatology Reports.2020; 19(2): 128.     CrossRef
  • Determinants of smoking behavior of older women (Ethnic Kaili) in Palu city
    Ratna Devi, Andi Zulkifli Abdullah, Rosmala Nur, Fauzan, Ni Wayan Sridani, Muhammad Ryman Napirah
    Enfermería Clínica.2020; 30: 52.     CrossRef
  • Obesity, Sarcopenia, and Smoking: Landscape in the Mist
    Seung-Won Oh
    Korean Journal of Family Medicine.2019; 40(2): 61.     CrossRef
  • Breastfeeding and Sarcopenia in Later Life
    Jungun Lee
    Korean Journal of Family Medicine.2019; 40(3): 133.     CrossRef
  • 7,411 View
  • 163 Download
  • 22 Web of Science
  • 23 Crossref
Association between C-Reactive Protein and Metabolic Syndrome in Korean Adults
Youhyun Song, Soo Kyung Yang, Jungeun Kim, Duk-Chul Lee
Korean J Fam Med 2019;40(2):116-123.   Published online October 30, 2018
DOI: https://doi.org/10.4082/kjfm.17.0075
Background
The prevalence of metabolic syndrome (MetS) is increasing, and obesity, insulin resistance, and inflammation are the known risk factors. However, results of previous studies regarding the relationship between MetS and inflammation have not been consistent. This study aimed to identify the associations between C-reactive protein (CRP) and MetS and its components in obese and non-obese men and women.
Methods
This was a cross-sectional study based on the 6th Korea National Health and Nutrition Examination Survey (2015), and a nationally representative sample of 3,013 Korean adults aged 40–78 years were included. Those with cardiovascular disease, cancer, CRP level >10 mg/L, white blood cell count >10,000/mm3 , chronic kidney disease, and lung/liver disease were excluded.
Results
Approximately 11.0%, 50.0%, 8.4%, and 48.8% of non-obese men, obese men, non-obese women, and obese women presented with MetS (P<0.001), respectively. In all four groups, those who presented with MetS or its components showed a higher high-sensitivity (hs-CRP) average than those without. Multivariate regression analysis showed the increased risk of developing MetS with higher quartiles of hs-CRP level in obese (3rd and 4th quartiles: odds ratios [ORs], 3.87 and 2.57, respectively) and non-obese women (4th quartile: OR, 2.63). The different components also showed increased ORs in the four groups. However, no statistically significant trend in the relationship was found in men.
Conclusion
Low-grade inflammation may increase the risk of MetS in Korean women independent of adiposity. However, due to the cross-sectional design of the present study, further studies must be conducted to identify the causal relationship between inflammation and metabolic disorders.

Citations

Citations to this article as recorded by  
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  • A machine learning-based framework for predicting metabolic syndrome using serum liver function tests and high-sensitivity C-reactive protein
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    Scientific Reports.2025;[Epub]     CrossRef
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    Jina Yoon, Dayeon Shin
    Journal of Nutrition and Health.2024; 57(1): 88.     CrossRef
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