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JYMS : Journal of Yeungnam Medical Science

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Original articles
Association between total body muscle percentage and prevalence of non-alcoholic fatty liver disease in Korean adults findings from an 18-year follow-up: a prospective cohort study
Byoung Chan Ahn, Chul Yong Park, Jung Hee Hong, Ki Ook Baek
J Yeungnam Med Sci. 2023;40(Suppl):S47-S55.   Published online August 29, 2023
DOI: https://doi.org/10.12701/jyms.2023.00605
  • 1,225 View
  • 44 Download
AbstractAbstract PDFSupplementary Material
Background
This study aimed to elucidate the association between total lean muscle mass and the incidence of non-alcoholic fatty liver disease (NAFLD) in the adult Korean population.
Methods
Utilizing data derived from the 18-year prospective cohort of the Korean Genome and Epidemiology Study, NAFLD was diagnosed via the hepatic steatosis index with an established cutoff value of 36. Lean muscle mass was assessed via bioelectrical impedance analysis and subsequently divided into tertiles. A generalized mixed model with a logit link was employed for repeated measures data analysis, accounting for potential confounders.
Results
Analysis encompassed 7,794 participants yielding 49,177 measurements. The findings revealed a markedly increased incidence of NAFLD in the lower tertiles of muscle mass, specifically, tertile 1 (odds ratio [OR], 20.65; 95% confidence interval [CI], 9.66–44.11) and tertile 2 (OR, 4.57; 95% CI, 2.11–9.91), in comparison to tertile 3. Age-dependent decreases in the OR were observed within the tertile 1 group, with ORs of 10.12 at age of 40 years and 4.96 at age of 80 years. Moreover, each 1%-point increment in total muscle mass corresponded with an estimated OR of 0.87 (95% CI, 0.82–0.93) for NAFLD resolution.
Conclusions
The study demonstrates a significant association between total muscle mass and NAFLD prevalence among Korean adults. Given the potential endocrine role of muscle mass in NAFLD pathogenesis, interventions aimed at enhancing muscle mass might serve as an effective public health strategy for mitigating NAFLD prevalence.
Age-related low skeletal muscle mass correlates with joint space narrowing in knee osteoarthritis in a South Korean population: a cross-sectional, case-control study
Hyun-Je Kim, Young-Hoon Hong
J Yeungnam Med Sci. 2022;39(4):285-293.   Published online February 3, 2022
DOI: https://doi.org/10.12701/jyms.2021.01536
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  • 83 Download
  • 2 Web of Science
  • 1 Crossref
AbstractAbstract PDF
Background
This study was conducted to analyze the effects of low skeletal muscle mass index (SMI) and obesity on aging-related osteoarthritis (OA) in the Korean population.
Methods
A total of 16,601 participants who underwent a dual-energy X-ray absorptiometry and 3,976 subjects with knee X-rays according to the modified Kellgren-Lawrence (KL) system were enrolled. Knees of ≥KL grade 2 were classified as radiologic OA. The severity of joint space narrowing (JSN) was classified by X-rays as normal, mild-to-moderate, and severe JSN in radiologic OA. The subjects were grouped as normal SMI (SMI of ≥–1 standard deviation [SD] of the mean), low SMI class I (SMI of ≥–2 SDs and <–1 SD), and low SMI class II (SMI of <–2 SDs). Obesity was defined as a body mass index (BMI) of ≥27.5 kg/m2.
Results
The modified KL grade and JSN severity were negatively correlated with the SMI and positively correlated with BMI and age. The SMI was negatively correlated with age. JSN severity was significantly associated with a low SMI class compared to a normal SMI, which was more prominent in low SMI class II than class I. Obesity was significantly associated with more severe JSN, only for obesity with a low SMI class. Furthermore, patients with a low SMI class, regardless of obesity, were prone to having more severe JSN.
Conclusion
This study suggested that a low SMI class was associated with aging and that an age-related low SMI was more critically related to the severity of JSN in OA.

Citations

Citations to this article as recorded by  
  • Causal relationship between sarcopenia and osteoarthritis: a bi-directional two-sample mendelian randomized study
    Jiyong Yang, Peng Liu, Shuai Wang, Tao Jiang, Yilong Zhang, Wengang Liu
    European Journal of Medical Research.2023;[Epub]     CrossRef
Original Article
The Relationship Between Body Composition and Bone Mineral Density in Postmenopausal Women.
Jin Wook Chae, Il Hoe Kim, Woo Sung Kwon, Keun Mi Lee, Seung Pil Jung, Yong Moon
Yeungnam Univ J Med. 2003;20(1):53-61.   Published online June 30, 2003
DOI: https://doi.org/10.12701/yujm.2003.20.1.53
  • 2,052 View
  • 7 Download
  • 5 Crossref
AbstractAbstract PDF
BACKGROUND
Body weight is an important factor that influence the bone density in postmenopausal women except estrogen dificiency. However, different results are reported about the relationship between body composition and bone density in the postmenopausal women. We have studied the relationship between age, body weight, body mass index (BMI), waist hip ratio (WHR), muscle mass, fat mass, fat free mass and bone density. MATERIALS AND METHODS: We have studied 127 persons of postmenopausal women who visited university medical center and examined the inbody 3.0 and Dual Energy X-ray Absorptiometry (DEXA) from Jan, 2001 to Jun, 2002. they didn't have any disease and didn't received hormone therapy, osteoporosis therapy or other medication that influence the bone density. RESULTS: The numbers of study subjects is total 127 persons. Mean age is 56.9+/-5.14, mean weight is 59.3+/-8.7 kg, mean BMI is 25.37+/-3.16 (kg/m2), mean fat mass is 20.02+/-5.05 kg, mean muscle mass is 37.49+/-4.50 kg, mean fat free mass is 39.80+/-4.70, mean BMD is 0.828+/-0.148 (g/cm2). In the result of linear regression analysis, age, height, weight, muscle mass, fat free mass, fat mass, BMI are significant determinants of BMD. In stepwise multiple regression analysis, age is the most significant determinant of BMD and besides age, fat free mass is the most significant determinant of BMD among body composition. CONCLUSION: In postmenopausal women, age, height, weight, BMI, muscle mass, fat free mass, fat mass are significant determinants of BMD and besides age, fat free mass is the most significant determinant of BMD among the body composition. So, diet and exercise that increase fat free mass will contribute to bone density increment.

Citations

Citations to this article as recorded by  
  • Problems with Bone Health and the Influencing Factors of Bone Mineral Density in Women across the Life Cycle
    Nami Chun, Hyunju Chae
    Korean Journal of Women Health Nursing.2015; 21(1): 43.     CrossRef
  • Association between bone mineral density and remaining teeth in postmenopausal women
    Kyeong-Soo Lee, Chang-Suk Kim
    Journal of Korean society of Dental Hygiene.2014; 14(3): 319.     CrossRef
  • Association of Anthropometric and Biochemical Factors with Bone Mineral Density in Korean Adult Women Data from the Fourth (2008~2009) and Fifth (2010~2011) Korea National Health and Nutrition Examination Surveys (KNHANES IV & V)
    Soon-Nam Choi, Kwang-Hyun Jho, Nam-Yong Chung
    Journal of the Korean Dietetic Association.2014; 20(3): 157.     CrossRef
  • A Study of Factors Influencing the Bone Mineral Density on Premenopausal Women: Using the 2011 Korean National Health and Nutrition Examination Survey Data
    Young-Mi Chun, Sun-Hee Lee
    Journal of the Korea Academia-Industrial cooperation Society.2013; 14(12): 6246.     CrossRef
  • Factors Associated with Bone Mineral Density in Korean Postmenopausal Women Aged 50 Years and Above: Using 2008-2010 Korean National Health and Nutrition Examination Survey
    Son-Ok Mun, Jihye Kim, Yoon Jung Yang
    Korean Journal of Community Nutrition.2013; 18(2): 177.     CrossRef

JYMS : Journal of Yeungnam Medical Science