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Diabetes, obesity and metabolism
From Anabolic to Reponic: Reclassifying Insulin’s Primary Metabolic Role
Shelby Ford, Daniel Bryce, Joshua Moen
Endocrinol Metab. 2026;41(1):185-189.   Published online January 5, 2026
DOI: https://doi.org/10.3803/EnM.2025.2558
  • 2,804 View
  • 44 Download
  • 1 Crossref
AbstractAbstract PDFPubReader   ePub   
The classification of insulin as primarily an anabolic hormone is inconsistent with its metabolic signature of energy storage. This categorization, shared with anabolic hormones such as testosterone, obscures insulin’s role in the pathophysiology of metabolic disease. We propose a more precise classification: reponic, meaning ‘to store.’ To empirically support this framework, we analyzed data from 2,910 U.S. adults in the National Health and Nutrition Examination Survey 2011–2018. Higher insulin levels were strongly associated with increased central adiposity and dyslipidemia. In contrast, higher testosterone, particularly in males, was associated with a leaner phenotype, reflecting a metabolic profile antagonistic to insulin. These findings reinforce well-established physiology indicating that insulin’s primary role is energy storage. Adoption of the reponic classification provides a clearer conceptual framework for understanding hyperinsulinemia and its clinical consequences.

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  • Fasting insulin and the sarcopenic obesity phenotype in normoglycemic adults: a cross-sectional NHANES study (2011-2014)
    Kalese Droge, Diana Nguyen, Shelby Ford, Joshua Moen
    Obesity and Endocrinology.2026;[Epub]     CrossRef
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Original Articles
Mineral, Bone & Muscle
Differential Impact of Subcutaneous and Visceral Fat on Bone Changes after Gastrectomy
Sungjoon Cho, Sungjae Shin, Seunghyun Lee, Yumie Rhee, Hyoung-Il Kim, Namki Hong
Endocrinol Metab. 2024;39(4):632-640.   Published online July 17, 2024
DOI: https://doi.org/10.3803/EnM.2024.1956
  • 5,938 View
  • 88 Download
  • 3 Web of Science
  • 5 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Osteoporosis and fragility fractures are crucial musculoskeletal complications in long-term survivors of gastric cancer. However, the relationship between changes in body composition after gastrectomy and bone loss has not been investigated. Therefore, this study aimed to explore whether computed tomography (CT)-derived body composition parameters are associated with bone loss after gastrectomy in patients with gastric cancer.
Methods
We retrospectively reviewed medical records and abdomen CT scans of patients who underwent gastrectomy at Yonsei University Severance Hospital between 2009 and 2018. Patients with non-metastatic gastric adenocarcinoma and preoperative and postoperative non-contrast CT scans were analyzed. Section area of skeletal muscle (SMA), visceral fat (VFA), and subcutaneous fat (SFA) were assessed using semi-automatic segmentation software. Changes in trabecular bone attenuation of L1 mid-vertebra level (L1 Hounsfield units [HU]) were measured.
Results
Fifty-seven patients (mean age, 65.5±10.6; 70.2% males) were analyzed, and the median duration was 31 months. Fortyseven patients (82.5%) lost weight after gastrectomy. Baseline SMA and VFA did not differ between the bone loss and preserved groups; however, baseline SFA was significantly higher in the bone preserved group than in the bone loss group (P=0.020). In a multivariable linear regression model adjusted for confounding factors, one standard deviation higher VFA at baseline was associated with greater annualized L1 HU loss (%) (P=0.034). However, higher preoperative SFA was associated with protection against bone loss after gastrectomy (P=0.025).
Conclusion
Higher preoperative SFA exhibited a protective effect against bone loss after gastrectomy in patients with non-metastatic gastric cancer, whereas VFA exhibited a negative effect.

Citations

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  • Invited State of the Art Review for MCP Rethinking Obesity Beyond Body Mass Index: A Review of Body Composition and Chronic Disease Risk
    Jason R. Jaggers, Madison Kindred, Ryan Porter, Xuemei Sui, Carl J. Lavie, Vivek K. Prasad
    Mayo Clinic Proceedings.2026;[Epub]     CrossRef
  • Obesity and Bone Fragility: The Hidden Impact of Insulin Resistance on Trabecular Bone Score, Not Bone Density
    Taehoon Park, Kyungwon Seo, Ki Hyun Kim, Yoonhong Kim, Bukyung Kim
    Endocrinology and Metabolism.2026;[Epub]     CrossRef
  • Body fat percentage and the outcomes of hip fractures in adults aged 50 years and above: a 1-year follow-up study
    Wenliang Fan, Zhibang Zhao, Liqiang Wang, Qingbo Chu
    Frontiers in Medicine.2025;[Epub]     CrossRef
  • Calorie Restriction and Bone Health: Lessons from Bariatric Metabolic Surgery
    Bukyung Kim
    Endocrinology and Metabolism.2025; 40(3): 388.     CrossRef
  • Differential associations of subcutaneous and visceral fat with bone turnover markers: A study on bariatric surgery patients with severe obesity and individuals without obesity
    Prince Dadson, Eleni Rebelos, Maria K. Jaakkola, Milena Monfort-Pires, Ronja Ojala, Henri Honka, Kari K. Kalliokoski, Riku Klén, Pirjo Nuutila, Kaisa K. Ivaska
    International Journal of Obesity.2025; 49(12): 2494.     CrossRef
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Diabetes, Obesity and Metabolism
Association of Shift Work with Normal-Weight Obesity in Community-Dwelling Adults
Chul Woo Ahn, Sungjae Shin, Seunghyun Lee, Hye-Sun Park, Namki Hong, Yumie Rhee
Endocrinol Metab. 2022;37(5):781-790.   Published online October 25, 2022
DOI: https://doi.org/10.3803/EnM.2022.1532
  • 11,265 View
  • 244 Download
  • 9 Web of Science
  • 10 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Shift work is associated with obesity and metabolic syndrome. However, this association in the normal-weight population remains unclear. This study aimed to investigate whether shift work is associated with normal-weight obesity (NWO).
Methods
From the nationally representative Korea National Health and Nutrition Examination Survey (KNHANES) dataset (2008 to 2011), 3,800 full-time workers aged ≥19 years with a body mass index (BMI) ≤25 kg/m2 were analysed. We defined NWO as BMI ≤25 kg/m2 and body fat percentage ≥25% in men and ≥37% in women. Working patterns were classified into “daytime,” “other than daytime,” and “shift.” Multivariable logistic regression analysis was performed to evaluate the relationship between shift work and NWO.
Results
Shift work was associated with higher odds of NWO than daytime work (adjusted odds ratio [aOR], 1.47; 95% confidence interval [CI], 1.04 to 2.09) and night/evening work (aOR, 1.87; 95% CI, 1.11 to 3.14) after adjustment for type of work, working hours, age, sex, BMI, 25-hydroxyvitamin D levels, homeostatic model assessment for insulin resistance, and other sociodemographic factors. In subgroup analyses, the association between shift work and NWO was more robust in those aged ≥60 years and those working ≥56 hours/week.
Conclusion
Shift work was associated with NWO in community-dwelling Korean adults, independent of age, sex, BMI, and other covariates.

Citations

Citations to this article as recorded by  
  • Modifiable risk factors for cardiovascular diseases in aviation and prospects for their correction
    E. E. Adeninskaya, N. B. Zabrodina, B. G. Potievsky, A. Y. Bushmanov, A. V. Dorofeev
    Science and Innovations in Medicine.2026; 11(3): 185.     CrossRef
  • Work-Related Factors, Sleep Problems, and Metabolic Syndrome among Taiwanese Workers: Sex-Specific Implications for Occupational Health Nursing
    Ching Wen Hu, Yi Ching Tsai, Kuan Pin Lin
    Advances in Nursing Science.2026; 49(4S): S31.     CrossRef
  • Investigating the Risk of Obesity in European Night Shift Workers: A Study Protocol for Cross-Sectional and Mechanistic Studies in the SHIFT2HEALTH Project
    Katrin Scionti, Vanessa Schoissengeier, Ivana Vaclavkova, Hella Fleiss, Catalina Cuparencu, Annemarie Olsen, Hannah Jilani, Desiree A. Lucassen, Emilie de Zoete, Edith Feskens, Hendriek C. Boshuizen, Monique H. Vingerhoeds, Meeke Ummels, Sandra Haider, Ev
    Obesity Facts.2026; : 1.     CrossRef
  • The research progress and prospects of circadian rhythm in obesity: a bibliometric analysis
    Ye Dou, Xiaojin Guo, Xuefei Wang, Aolong He, Fanghe Li, Kuo Gao
    Frontiers in Nutrition.2025;[Epub]     CrossRef
  • Normal Weight Obesity Overview and Update: A narrative review
    Antonino De Lorenzo, Paola Gualtieri, Giulia Frank, Roselisa Palma, Rossella Cianci, Leonardo Romano, Lucilla Ciancarella, Glauco Raffaelli, Laura Di Renzo
    Current Obesity Reports.2025;[Epub]     CrossRef
  • Development and interpretation of a machine learning predictive model for early cognitive impairment in hypertension associated with environmental factors
    Xia Zhong, Tianen Zhao, Shimeng Lv, Guangheng Zhang, Jing Li, Donghai Liu, Huachen Jiao
    Frontiers in Cardiovascular Medicine.2025;[Epub]     CrossRef
  • Association of Shift Work, Sociodemographic Variables and Healthy Habits with Obesity Scales
    Javier Tosoratto, Pedro Juan Tárraga López, Ángel Arturo López-González, Daniela Vallejos, Emilio Martínez-Almoyna Rifá, José Ignacio Ramirez-Manent
    Life.2024; 14(11): 1503.     CrossRef
  • Impaired Melatonin Secretion, Oxidative Stress and Metabolic Syndrome in Night Shift Work
    Sorina Hohor, Cristina Mandanach, Andreea Maftei, Corina Aurelia Zugravu, Marina Ruxandra Oțelea
    Antioxidants.2023; 12(4): 959.     CrossRef
  • Normal-Weight Obesity and Metabolic Syndrome in Korean Adults: A Population-Based Cross-Sectional Study
    Jeonghyeon Kim, Seamon Kang, Hyunsik Kang
    Healthcare.2023; 11(16): 2303.     CrossRef
  • You Can’t Avoid Shift Work? Then Focus on Body Fat Rather than Weight
    Eun Kyung Lee
    Endocrinology and Metabolism.2022; 37(5): 756.     CrossRef
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Diabetes, Obesity and Metabolism
Musclin Is Related to Insulin Resistance and Body Composition, but Not to Body Mass Index or Cardiorespiratory Capacity in Adults
Yeliana L. Sánchez, Manuela Yepes-Calderón, Luis Valbuena, Andrés F. Milán, María C. Trillos-Almanza, Sergio Granados, Miguel Peña, Mauricio Estrada-Castrillón, Juan C. Aristizábal, Raúl Narvez-Sanchez, Jaime Gallo-Villegas, Juan C. Calderón
Endocrinol Metab. 2021;36(5):1055-1068.   Published online October 21, 2021
DOI: https://doi.org/10.3803/EnM.2021.1104
  • 12,928 View
  • 165 Download
  • 18 Web of Science
  • 20 Crossref
AbstractAbstract PDFPubReader   ePub   
Background
We studied whether musclin function in humans is related to glycemic control, body composition, and cardiorespiratory capacity.
Methods
A cross-sectional study was performed in sedentary adults with or without metabolic syndrome (MS). Serum musclin was measured by enzyme-linked immunosorbent assay. Insulin resistance (IR) was evaluated by the homeostatic model assessment (HOMA-IR). Body composition was determined by dual-energy X-ray absorptiometry and muscle composition by measuring carnosine in the thigh, a surrogate of fiber types, through proton magnetic resonance spectroscopy. Cardiorespiratory capacity was assessed through direct ergospirometry.
Results
The control (n=29) and MS (n=61) groups were comparable in age (51.5±6.5 years old vs. 50.7±6.1 years old), sex (72.4% vs. 70.5% women), total lean mass (58.5%±7.4% vs. 57.3%±6.8%), and peak oxygen consumption (VOpeak) (31.0±5.8 mL O2./kg.min vs. 29.2±6.3 mL O2/kg.min). Individuals with MS had higher body mass index (BMI) (30.6±4.0 kg/m2 vs. 27.4± 3.6 kg/m2), HOMA-IR (3.5 [95% confidence interval, CI, 2.9 to 4.6] vs. 1.7 [95% CI, 1.1 to 2.0]), and musclin (206.7 pg/mL [95% CI, 122.7 to 387.8] vs. 111.1 pg/mL [95% CI, 63.2 to 218.5]) values than controls (P˂0.05). Musclin showed a significant relationship with HOMA-IR (β=0.23; 95% CI, 0.12 to 0.33; P˂0.01), but not with VOpeak, in multiple linear regression models adjusted for age, sex, fat mass, lean mass, and physical activity. Musclin was significantly associated with insulin, glycemia, visceral fat, and regional muscle mass, but not with BMI, VCO2peak, maximum heart rate, maximum time of work, or carnosine.
Conclusion
In humans, musclin positively correlates with insulinemia, IR, and a body composition profile with high visceral adiposity and lean mass, but low body fat percentage. Musclin is not related to BMI or cardiorespiratory capacity.

Citations

Citations to this article as recorded by  
  • The myokine musclin in metabolic syndrome: Pathological links and exercise interventions
    Ruiming Wen, Yuan Yang, Haixia Wang, Yikun Teng, Bing Zhao, Hanxiao Zhu, Songtao Wang
    iScience.2026; 29(1): 114367.     CrossRef
  • LMS-based continuous reference values for the myokine musclin in serum in children and adults
    Anne Schön, Hannah Weber, Katharina Schermuly, Anna Tschirner, Malgorzata Szaroszyk, Thomas Rebe, Jens Drube, Nele Kanzelmeyer, Ulrich Baumann, Anibh M. Das, Dieter Haffner, Maren Leifheit-Nestler
    Frontiers in Endocrinology.2026;[Epub]     CrossRef
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    Zhiwei Fu, Jintao Wu, Shutao Zhang, Juyang Jiao, Qimin Hong, Yihan Wang, Liangjun Zheng, Xinhua Qu, Bing Yue
    Journal of Sport and Health Science.2026; 15: 101143.     CrossRef
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    Matteo Landolfo, Francesco Spannella, Chiara Salvà, Bernhard Radlinger, Susanne Kaser, Alessandro Gezzi, Riccardo Sarzani
    Reviews in Endocrine and Metabolic Disorders.2026; 27(5): 1091.     CrossRef
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    Leigang Jin, Yifen Lin, Yixuan Zheng, Anli Wang, Peng Liao, Yucheng Luo, Zhongheng Sui, Xiayun Ni, Jianan Zhang, Qing Shen, Aimin Xu
    Chinese Medical Journal.2026; 139(19): 2885.     CrossRef
  • Preoperative Circulating Musclin as a Candidate Biomarker of Postoperative Skeletal Muscle Vulnerability in Colorectal Cancer
    YuSik Kim, Ji Sun Nam, Su-Jin Shin, Younghyun Kim, Jeonghyun Kang, Chul Woo Ahn
    European Journal of Surgical Oncology.2026; : 112208.     CrossRef
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    Jairo E. Saavedra, Jaime Gallo-Villegas, Juan C. Calderón
    Journal of Physiology and Biochemistry.2026;[Epub]     CrossRef
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    Ji Sun Nam, Eun-Suk Cho, Yu Rim Kwon, Jong Suk Park, YuSik Kim
    The Journal of Clinical Endocrinology & Metabolism.2025; 110(5): 1305.     CrossRef
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    Nancy Marulanda-Díaz, Alejandro Estrada-Restrepo, Andrés F. Milán, Raul Narvaez-Sanchez, Juan C. Calderón, Nubia A. Giraldo-Giraldo
    Nutrition.2025; 135: 112767.     CrossRef
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    YuSik Kim
    The Journal of Clinical Endocrinology & Metabolism.2025; 110(5): e1716.     CrossRef
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    Jorge L. Petro, Jaime Gallo-Villegas, Juan C. Calderón
    Frontiers in Endocrinology.2025;[Epub]     CrossRef
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    Jia Yi, Junyang Chen, Xinlei Yao, Zihao Zhao, Xinxin Niu, Xia Li, Jiacheng Sun, Yanan Ji, Tongxin Shang, Leilei Gong, Bingqian Chen, Hualin Sun
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    Wonjun Cho, Heeseung Oh, Sung Woo Choi, A. M. Abd El-Aty, Fatma Yeşilyurt, Ji Hoon Jeong, Tae Woo Jung
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    Jaime A. Gallo-Villegas, Juan C. Calderón
    European Journal of Applied Physiology.2023; 123(5): 945.     CrossRef
  • Serum Levels of Myonectin Are Lower in Adults with Metabolic Syndrome and Are Negatively Correlated with Android Fat Mass
    Jorge L. Petro, María Carolina Fragozo-Ramos, Andrés F. Milán, Juan C. Aristizabal, Jaime A. Gallo-Villegas, Juan C. Calderón
    International Journal of Molecular Sciences.2023; 24(8): 6874.     CrossRef
  • The correlation of serum musclin with diabetic nephropathy
    Jie Zhang, Jing Shi, Zengguang Cheng, Wenchao Hu
    Cytokine.2023; 167: 156211.     CrossRef
  • Efficacy of high-intensity interval- or continuous aerobic-training on insulin resistance and muscle function in adults with metabolic syndrome: a clinical trial
    Jaime Gallo-Villegas, Leonardo A. Castro-Valencia, Laura Pérez, Daniel Restrepo, Oscar Guerrero, Sergio Cardona, Yeliana L. Sánchez, Manuela Yepes-Calderón, Luis H. Valbuena, Miguel Peña, Andrés F. Milán, Maria C. Trillos-Almanza, Sergio Granados, Juan C.
    European Journal of Applied Physiology.2022; 122(2): 331.     CrossRef
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    Paola Llanos, Jesus Palomero
    Cells.2022; 11(24): 4008.     CrossRef
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Review Article
Diabetes, Obesity and Metabolism
A Review of the Effects of Glucagon-Like Peptide-1 Receptor Agonists and Sodium-Glucose Cotransporter 2 Inhibitors on Lean Body Mass in Humans
Jack Alistair Sargeant, Joseph Henson, James Adam King, Thomas Yates, Kamlesh Khunti, Melanie Jane Davies
Endocrinol Metab. 2019;34(3):247-262.   Published online September 26, 2019
DOI: https://doi.org/10.3803/EnM.2019.34.3.247
  • 33,929 View
  • 846 Download
  • 200 Web of Science
  • 213 Crossref
AbstractAbstract PDFPubReader   ePub   

Weight loss is an important goal in the management of several chronic conditions, including type 2 diabetes mellitus, and pharmacological therapies that aid weight loss are appealing. Glucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter 2 inhibitors (SGLT2is) are novel glucose-lowering therapies that have been shown to induce clinically significant reductions in body weight. However, this weight loss may not be attributed solely to fat mass (FM). Given the importance of skeletal muscle and lean body mass (LBM) on cardio-metabolic health and physical function, we reviewed the available literature reporting the effects of GLP-1RAs and SGLT2is on body composition. Results demonstrate that, in most circumstances, the weight loss associated with both therapies predominantly comprises a reduction in FM, although significant heterogeneity exists between studies. In over half of the studies identified, the proportion of LBM reduction ranged between 20% and 50% of total weight lost, which is consistent with diet-induced weight loss and bariatric surgery. No clear differences existed between GLP-1RAs and SGLT2is. Consequently, the loss of LBM and skeletal muscle associated with weight loss induced by GLP-1RAs and SGLT2is warrants attention. Strategies to preserve skeletal muscle and improve physical function, for example through structured exercise, are of great importance.

Citations

Citations to this article as recorded by  
  • GPR75: A Newly Identified Receptor for Targeted Intervention in the Treatment of Obesity and Metabolic Syndrome
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    Naseem Eisa, Omar Barood
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Original Articles
Clinical Study
Effects of Short-Term Exenatide Treatment on Regional Fat Distribution, Glycated Hemoglobin Levels, and Aortic Pulse Wave Velocity of Obese Type 2 Diabetes Mellitus Patients
Ju-Young Hong, Keun-Young Park, Byung-Joon Kim, Won-Min Hwang, Dong-Ho Kim, Dong-Mee Lim
Endocrinol Metab. 2016;31(1):80-85.   Published online March 16, 2016
DOI: https://doi.org/10.3803/EnM.2016.31.1.80
  • 9,965 View
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  • 31 Web of Science
  • 27 Crossref
AbstractAbstract PDFPubReader   
Background

Most type 2 diabetes mellitus patients are obese and have obesity related vascular complications. Exenatide treatment is well known for both decreasing glycated hemoglobin levels and reduction in body weight. So, this study aimed to determine the effects of exenatide on body composition, glycated hemoglobin levels, and vascular stiffness in obese type 2 diabetes mellitus patients.

Methods

For 1 month, 32 obese type 2 diabetes mellitus patients were administered 5 µg of exenatide twice daily. The dosage was then increased to 10 µg. Patients' height, body weight, glycated hemoglobin levels, lipid profile, pulse wave velocity (PWV), body mass index, fat mass, and muscle mass were measured by using Inbody at baseline and after 3 months of treatment.

Results

After 3 months of treatment, glycated hemoglobin levels decreased significantly (P=0.007). Triglyceride, total cholesterol, and low density lipoprotein levels decreased, while aspartate aminotransferase and alanine aminotransferase levels were no change. Body weight, and fat mass decreased significantly (P=0.002 and P=0.001, respectively), while interestingly, muscle mass did not decrease (P=0.289). In addition to, Waist-to-hip ratio and aortic PWV decreased significantly (P=0.006 and P=0.001, respectively).

Conclusion

Effects of short term exenatide use in obese type 2 diabetes mellitus with cardiometabolic high risk patients not only reduced body weight without muscle mass loss, body fat mass, and glycated hemoglobin levels but also improved aortic PWV in accordance with waist to hip ratio.

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Clinical Study
Characteristics of Body Composition and Muscle Strength of North Korean Refugees during South Korean Stay
Sun Wook Cho, So Hee Lee, Eun Sil Koh, Si Eun Kim, Seok Joong Kim
Endocrinol Metab. 2015;30(4):551-556.   Published online December 31, 2015
DOI: https://doi.org/10.3803/EnM.2015.30.4.551
  • 8,219 View
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  • 3 Web of Science
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AbstractAbstract PDFPubReader   
Background

The aim of this study was to investigate the changes of body composition and muscle strength of North Korean refugees (NKRs) according to their duration of stay in South Korea.

Methods

NKRs who volunteered and were living in South Korea, aged 20 to 75 years were recruited. Body compositions were analyzed by bioelectrical impedance analysis. Muscle strength was measured with the hand grip test. Demographic and migration information was obtained with a questionnaire.

Results

A total of 158 volunteers were recruited at a mean age of 48.3±11.4 years. The mean time from when they escaped from North Korea and arrived in South Korea was 5.8±4.3 years. Height, weight, and body surface area were significantly smaller in all NKRs compared to South Korean controls, except for women aged over 50 years. In females of younger ages (<50 years), NKRs with more than a 4-year stay in South Korea had a higher weight and fat mass than that of those who had a shorter stay (less than 4 years) in South Korea. All NKRs had a weaker grip strength than that of the age-matched controls from South Korea.

Conclusion

The NKRs showed relatively smaller physiques and weaker muscle strength than that of the South Korean controls. In younger female NKRs, shorter South Korean stay group showed small body weight and fat mass than that of longer South Korean stay group. Specific health support programs might be needed.

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The One Year Effects of Growth Hormone Replacement on the Body Composition in the Normal Adults.
Eui Hyun Kim, Suk Chon, Kwan Pyo Koh, Seong Joon Oh, Jeong Taek Woo, Sung Woon Kim, Jin Woo Kim, Young Seol Kim
J Korean Endocr Soc. 2004;19(4):303-319.   Published online August 1, 2004
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AbstractAbstract PDF
BACKGROUND
The secretion of growth hormone [GH] declines by 14.4% every decade, leading to the suggestion that the elderly are functionally GH deficient, which may increase adipose tissue and decrease the bone mass and density, as well as other negative changes in body composition. Recently, many studies have shown that GH replacement therapy may restore the changes that occur in the body composition with aging. AIM: The GH and insulin like growth factor-I[IGF-I] profiles were identified during GH replacement therapy in the elderly and compared with those of GH deficient[GHD] patients. The metabolic effects of GH replacement on the body composition of the elderly was also investigated, especially the body fat, muscle and bone parameters. Subjects and METHODS: 98 healthy normal out-patients and 13 GHD patients, who had peak GH concentrations less than 5 ng/mL after an insulin tolerance test [ITT] or growth hormone releasing hormone [GHRH] stimulation test, were the subjects of this study. All were receiving appropriate thyroid, adrenal and gonadal hormone replacements. The dose of recombinant human GH [rhGH] was 0.02~0.04 mg [0.06~0.12 IU]/kg of body weight.per week, given nightly by a subcutaneous injection, six times a week, over a 52 week period. The GH was measures after the ITT and GHRH stimulation tests, and the IGF-1, lipid parameters [total cholesterol, triglyceride, HDL-, and LDL cholesterol], visceral adipose tissue [VAT], subcutaneous adipose tissue [SAT], VAT/SAT ratio, quadriceps muscle area, total body fat, total bone mineral density [BMD], alkaline phosphatase [ALP], osteocalcin and urine deoxypyridinoline [DYP], as well as anthropometry, were also assessed. RESULTS: All the anthropometry features between the normal and GHD subjects were very similar. The hormonal profiles were checked; the GH peaks of the ITT and GHRH stimulation tests were significantly higher in the normal compared to the GHD patients, but the GHRH test showed lower GH peaks in than those of the ITT test in the normal subjects. The IGF-I levels after GH replacement were constantly maintained in the normal and GHD groups after 3 week and until the 52nd week. According to the lipid profiles, the GHD group showed significantly decreased total cholesterol and LDL-cholesterol after 12 weeks of GH replacement. The normal male group revealed constantly increased triglyceride levels during the entire 52 weeks of GH replacement, but thr other lipid parameters remained completely unchanged. The normal female group showed no change in any of their lipid parameters. Although the amounts of VAT at the baseline were the same in all groups, only the normal males showed effective visceral fat removal, with significantly reduced VAT after 52 weeks of GH treatment. In the normal female and GHD groups the bone mineral density had a V shaped curve after GH replacement, and the ALP and osteocalcin levels were significantly increased after 26 weeks of GH therapy in the GHD group. CONCLUSION: The body compositions in the normal male, female and GHD groups were similar before the GH replacement therapy, and the serum IGF-I levels were well maintained in all these groups during GH replacement. Although the majority of aging symptoms were improved, the body compositions tended to return to their original stati in the normal groups. GH replacement is recommended in the elderly for better health and well-being
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The Effects of Growth Hormone Tretment on Body Composition and Glucose Metabolism in Adult Hypophysectomized Rats.
Kwan Woo Lee, Hyun Chul Lee, Kap Bum Huh, Yoon Sok Chung, Deok Bae Park, Yup Kang, Hyeon Man Kim, Seoung Oh Yang
J Korean Endocr Soc. 1997;12(1):53-60.   Published online January 1, 2001
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  • 22 Download
AbstractAbstract PDF
BACKGROUND
It is well known that growth hormone (GH) stimulates animal growth, but studies on metabolic effects of growth hormone have recently been increasing. The purpose of this study was to clarify the effects of growth hormone treatment on body composition and glucose metabolism in hypophysectomized growth hormone-deficient rats. METHODS: The 20-week-old rnale Sprague-Dawley rats were hypophysectomized and replaced with cortisol and thyroxine for 8 weeks, then administered with recombinant human growth hormone for 2 weeks. Group 1 consisted of intact controls (n 15), while group 2 consisted of hypophysectomized controls (n 12), and group three consisted of those with GH treatment (n 13). The body weights, body composition, blood glucose levels, plasma insulin-like growth factor-I (IGF-I) levels, euglycemic hyperinsulinemic clamp test, and glycogen synthase activities in gastrocnemius muscle were measured before and after growth hormone treatment. RESULTS: Plasma IGF-I levels in GH-treated group increased to intact control group levels after 2 weeks of GH treatment. There were significant changes in body composition after the treatment (fat mass significantly decreased and lean body mass significantly increased). There were no changes in glucose metabolism in peripheral tissue after 2 weeks of GH treatment. CONCLUSION: Human GH treatment (4 IU/kg/day) in adult hypophysectomized GH-deficient rats changed the body composition, but did not alter the glucose metabolism in peripheral tissue.
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