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"Danbee Park"

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"Danbee Park"

Original Articles
The Association between Fat Mass, Lean Mass and Bone Mineral Density in Premenopausal Women in Korea: A Cross-Sectional Study
Jeehyun Kim, Hyuktae Kwon, Bo-Kyoung Heo, Hee-Kyung Joh, Cheol Min Lee, Seung-Sik Hwang, Danbee Park, Jae-Hong Park
Korean J Fam Med 2018;39(2):74-84.   Published online March 22, 2018
DOI: https://doi.org/10.4082/kjfm.2018.39.2.74
Background

We investigated the association between body composition, especially truncal or non-truncal fat mass (FM), and bone mineral density (BMD) in premenopausal women in Korea.

Methods

A cross-sectional study was performed using data from the Korea National Health and Nutrition Examination Survey IV and V (2008–2011). Total lean mass (LM), total FM (TFM), truncal FM, and non-truncal FM, and BMD of the total femur, femoral neck (FN), and lumbar spine were measured using dual-energy X-ray absorptiometry. The association between body composition and BMD was analyzed using multiple linear regression. The risk of low BMD according to quartiles of TFM, truncal FM, and non-truncal FM was calculated using logistic regression. Subgroup analysis according to body mass index was also performed.

Results

In 4,343 premenopausal women, total LM was positively associated with BMD regardless of weight adjustment. TFM, truncal FM, and non-truncal FM were inversely associated with BMD after adjusting for weight. Odds ratios (ORs) for low BMD and 95% confidence intervals (CIs) of the highest quartile of TFM, truncal FM, and non-truncal FM compared with the lowest quartile were calculated. The risk of low BMD of the FN was higher in the highest quartile of TFM (OR, 4.48; 95% CI, 1.11–18.01) and truncal FM (OR, 5.48; 95% CI, 1.75–17.20). Truncal FM and not-truncal FM had an inverse association with BMD in the non-obese and obese subgroups of women.

Conclusion

Total LM has a protective effect on BMD and FM can have a detrimental effect on BMD besides its skeletal loading effect.

Citations

Citations to this article as recorded by  
  • Association between normal-weight obesity and bone mineral density in older Korean adults: A population-based cross-sectional study
    Jeonghyeon Kim, Seamon Kang, Hyunsik Kang
    Maturitas.2024; 180: 107891.     CrossRef
  • Sex and Obesity-Specific Associations of Ultrasound-Assessed Radial Velocity of Sound with Body Composition
    Simona Sulis, Darina Falbová, Radoslav Beňuš, Petra Švábová, Alexandra Hozáková, Lenka Vorobeľová
    Applied Sciences.2024; 14(16): 7319.     CrossRef
  • Clinical Characteristic of Patients Underwent Bone Mineral Density Examination in Prof. Dr. R. Soeharso Orthopaedic Hospital in 2022-2023: A Cross-Sectional Study
    R. Andhi Prijosedjati, Pamudji Utomo, Leli Sabariyah, Ahmad Fauzi
    (JOINTS) Journal Orthopaedi and Traumatology Surabaya.2024; 13(1): 1.     CrossRef
  • Influence of Muscle Mass and Strength on Bone Mineralisation with Consideration of Sclerostin Concentration
    Martyna Patalong-Wójcik, Anna Golara, Katarzyna Zając, Alicja Sokołowska, Mateusz Kozłowski, Aleksandra Tołoczko-Grabarek, Mariola Krzyścin, Agnieszka Brodowska, Agnieszka Janiec, Aleksandra Myszka, Aneta Cymbaluk-Płoska, Elżbieta Sowińska-Przepiera
    Biomedicines.2023; 11(6): 1574.     CrossRef
  • Associations of body mass index, body fat percentage and sarcopenia components with bone health estimated by second-generation high-resolution peripheral quantitative computed tomography in older adults with obesity
    Anoohya Gandham, Jakub Mesinovic, Mavil May Cervo, Costas Glavas, Paul Jansons, Carrie-Anne Ng, Juan Pena Rodriguez, Ayse Zengin, Maxine P. Bonham, Peter R. Ebeling, David Scott
    Experimental Gerontology.2023; 179: 112227.     CrossRef
  • Elevated circulating levels of IL-34 are strongly associated with osteoporosis
    Nader Tarabeih, Adel Shalata, Alexander Kalinkovich, Orabi Higla, Gregory Livshits
    Archives of Osteoporosis.2023;[Epub]     CrossRef
  • The role of FSH in body composition in hematopoietic cell transplant recipients
    Erica J. Roelofs, Donald R. Dengel, Qi Wang, James S. Hodges, Julia Steinberger, Scott Baker
    Pediatric Transplantation.2022;[Epub]     CrossRef
  • Association between body mass index, bone bending strength, and BMD in young sedentary women
    A. Auslander, M. T. C. Liang, J. Gavin, E. Jo, J. Rocha-Rangel, J.-H. Lin, Y.-L. Kwoh, S. B. Arnaud
    Osteoporosis International.2022; 33(3): 673.     CrossRef
  • Association of androgen excess and bone mineral density in women with classical congenital adrenal hyperplasia with 21-hydroxylase deficiency
    Dong Ho Lee, Sung Hye Kong, Han Na Jang, Chang Ho Ahn, Seung Gyun Lim, Young Ah Lee, Sang Wan Kim, Jung Hee Kim
    Archives of Osteoporosis.2022;[Epub]     CrossRef
  • The Relationship Between Bone Mineral Density and Body Composition Among Qatari Women With High Rate of Obesity: Qatar Biobank Data
    Abdelhamid Kerkadi, Shalima Lathief, Yasmen Khial, Toka Teleb, Grace Attieh, Md Mizanur Rahman, Zumin Shi, Abdelali Agouni
    Frontiers in Nutrition.2022;[Epub]     CrossRef
  • Associations between body mass index, body composition and bone density in young adults: Findings from Saudi cohort
    Abdulrahman Tajaldeen, Salem Saeed Alghamdi, Rowa Aljondi, Zuhier Awan, Nawal Helmi, Kareem Lingawi, Alaa Mujalad, Wala Alzahrani
    Journal of Radiation Research and Applied Sciences.2022; 15(1): 268.     CrossRef
  • Association of Short-Term Changes in Menstrual Frequency, Medication Use, Weight and Exercise on Bone Mineral Density in College-Aged Women
    Stacie H. Fleischer, Annalisa K. Freire, Katie Brown, Andrew Creer, Dennis L. Eggett, Susan Fullmer
    International Journal of Environmental Research and Public Health.2022; 19(16): 10363.     CrossRef
  • Analysing body composition as compositional data: An exploration of the relationship between body composition, body mass and bone strength
    D Dumuid, JA Martín-Fernández, S Ellul, RS Kenett, M Wake, P Simm, L Baur, T Olds
    Statistical Methods in Medical Research.2021; 30(1): 331.     CrossRef
  • Association between body mass index and fragility fracture in postmenopausal women: a cross-sectional study using Korean National Health and Nutrition Examination Survey 2008–2009 (KNHANES IV)
    Jihan Kim, Sami Lee, Sung Soo Kim, Jong-Pyo Lee, Jong Sung Kim, Jin Gyu Jung, Seok Jun Yoon, Kyu Pil Kim, Chan-Keol Park, Yong-Hwan Kim
    BMC Women's Health.2021;[Epub]     CrossRef
  • Determinants of Bone Health Status in a Multi-Ethnic Population in Klang Valley, Malaysia
    Chin Yi Chan, Shaanthana Subramaniam, Norazlina Mohamed, Soelaiman Ima-Nirwana, Norliza Muhammad, Ahmad Fairus, Pei Yuen Ng, Nor Aini Jamil, Noorazah Abd Aziz, Kok-Yong Chin
    International Journal of Environmental Research and Public Health.2020; 17(2): 384.     CrossRef
  • Bone mineral density of proximal femur in adult Chinese females
    Fanjie Li, Yibin Du
    Journal of Orthopaedics.2020; 22: 53.     CrossRef
  • Bone Mineral Density of Femur and Lumbar and the Relation between Fat Mass and Lean Mass of Adolescents: Based on Korea National Health and Nutrition Examination Survey (KNHNES) from 2008 to 2011
    Aram Kim, Seunghui Baek, Seyeon Park, Jieun Shin
    International Journal of Environmental Research and Public Health.2020; 17(12): 4471.     CrossRef
  • The Association between High Body Mass Index and Early Clinical Outcomes in Patients with Proximal Femur Fractures
    Michael Müller, Alexander Gutwerk, Frederik Greve, Lisa Völker, Michael Zyskowski, Chlodwig Kirchhoff, Peter Biberthaler, Dominik Pförringer, Karl Braun
    Journal of Clinical Medicine.2020; 9(7): 2076.     CrossRef
  • Bone Health and its Relation to Energy Intake, Fat Mass and its Distribution
    Nayera E. Hassan, Sahar A. El-Masr, Rokia A. El Bann, Muhammad Al-Tohamy, Dalia El-Lebedy, Dalia Adel Abdel, Darin Amin, Safinaz Megahed, Aya Khalil
    Pakistan Journal of Biological Sciences.2020; 23(8): 1075.     CrossRef
  • Anti-fracture Efficacy of Monthly Risedronate Compared with That of Weekly Risedronate in Postmenopausal Korean Women with Osteoporosis: A Nationwide Cohort Study
    Yong Ho Cho, Kyung Hyun Bae, Dong Ryul Lee, Jungun Lee
    Korean Journal of Family Medicine.2020; 41(5): 339.     CrossRef
  • Lean mass and peak bone mineral density
    Huy G. Nguyen, Minh TD. Pham, Lan T. Ho-Pham, Tuan V. Nguyen
    Osteoporosis and Sarcopenia.2020; 6(4): 212.     CrossRef
  • Associations between body mass index, body composition and bone density in young adults: findings from a southern Brazilian cohort
    Isabel Oliveira Bierhals, Juliana dos Santos Vaz, Renata Moraes Bielemann, Christian Loret de Mola, Fernando Celso Barros, Helen Gonçalves, Fernando César Wehrmeister, Maria Cecília Formoso Assunção
    BMC Musculoskeletal Disorders.2019;[Epub]     CrossRef
  • 8,734 View
  • 83 Download
  • 20 Web of Science
  • 22 Crossref
Association between Body Mass Index and Quality of Life in Elderly People over 60 Years of Age
Gyeongsil Lee, Jiyoung Park, Seung-Won Oh, Hee-Kyung Joh, Seung-Sik Hwang, Jeehyun Kim, Danbee Park
Korean J Fam Med 2017;38(4):181-191.   Published online July 20, 2017
DOI: https://doi.org/10.4082/kjfm.2017.38.4.181
Background

The Korean population is aging rapidly and the number of health threats is increasing. The elderly obese population is also increasing and this study aimed to evaluate the association between body mass index (BMI) and health-related quality of life in the elderly Korean population.

Methods

The Korean version Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36) was administered to elderly subjects (≥60 years) selected from welfare and health centers, and university hospitals. Sociodemographic information and subjects' height and weight were also recorded.

Results

The study population's mean age was 74.2±7.1 years, and the average BMI was 24.5±3.2 kg/m2. The 542 participants were segregated based on BMI quartiles. The SF-36 scores were compared among the sex-stratified quartile groups after adjusting for age, education level, income, smoking, alcohol, and arthritis diagnosis. The SF-36 scores were compared for four BMI quartiles stratified by sex, after adjusting for age, education level, income, smoking, alcohol consumption, and arthritis diagnosis. Men in the Q3 and Q4 groups had higher mental health scores than men in Q2 group. Additionally, men in the Q3 group had higher social function scores than those in the Q2 and Q4 groups. No differences were observed for the remaining six domains; no significant score differences were observed in any of the survey domains for the female subjects.

Conclusion

There was no significant association between a high BMI and a low quality of life in the elderly Korean population selected from hospitals and welfare centers, as assessed using the SF-36 scores.

Citations

Citations to this article as recorded by  
  • Overnutrition in the Elderly Population: Socio-Demographic and Behavioral Risk Factors in Hungary
    Battamir Ulambayar, Amr Sayed Ghanem, Attila Csaba Nagy
    Nutrients.2025; 17(12): 1954.     CrossRef
  • Pengaruh pengetahuan gizi dan status gizi terhadap kualitas hidup lansia di Posyandu Kampung Bambar, Kabupaten Jayapura
    Rosmin Mariati Tingginehe, Arius Togodly
    JURNAL KEPERAWATAN TROPIS PAPUA.2025; 8(1): 92.     CrossRef
  • The Role of Body Mass Index, Advanced Age, and Low Educational Attainment in Mild Cognitive Impairment among the Older Adult Population: A Study in a Rural Area in Indonesia
    Aulia Miladitiya, Achmad Zulfa Juniarto, Annta Kern Nugrohowati, Tri Indah Winarni
    Journal of Nutrition in Gerontology and Geriatrics.2023; 42(3-4): 144.     CrossRef
  • Automatic Segmentation of Periapical Radiograph Using Color Histogram and Machine Learning for Osteoporosis Detection
    Rini Widyaningrum, Enny Itje Sela, Reza Pulungan, Anindita Septiarini, Mario Dioguardi
    International Journal of Dentistry.2023; 2023: 1.     CrossRef
  • Quality of life profiles and their associations with depressive symptoms and cognitive impairment of community-dwelling older adults in Hong Kong
    Guozhi Luo, Weiping Li, Donghai Wu, Xinyue Wei, Yanpeng Zang, Jing-Dong Liu
    Frontiers in Public Health.2023;[Epub]     CrossRef
  • Association between Body Mass Index, Physical Activity and Quality of Life amongst Older People in Malaysia during COVID-19: A Cross-Sectional Analysis
    Nor Safura Mohd Noor, Nur Kamilah Mohd Fauzy, Sakinah Harith, Wan Rohani Wan Taib, Rosliza Yahaya, Almira Sitasari, Furaida Khasanah
    Malaysian Journal of Medicine and Health Sciences.2023; 19(6): 42.     CrossRef
  • The Impact of Obesity on the Health of the Older Population: A Cross-Sectional Study on the Relationship between Health-Related Quality of Life and Body Mass Index across Different Age Groups
    Patrick Reinbacher, Alexander Draschl, Maria Anna Smolle, Andrzej Hecker, Franz Gaderer, Kay-Bernd Lanner, Paul Ruckenstuhl, Patrick Sadoghi, Andreas Leithner, Stefan Nehrer, Thomas Klestil, Kevin Brunnader, Gerwin A. Bernhardt
    Nutrients.2023; 16(1): 51.     CrossRef
  • Distinct biological ages of organs and systems identified from a multi-omics study
    Chao Nie, Yan Li, Rui Li, Yizhen Yan, Detao Zhang, Tao Li, Zhiming Li, Yuzhe Sun, Hefu Zhen, Jiahong Ding, Ziyun Wan, Jianping Gong, Yanfang Shi, Zhibo Huang, Yiran Wu, Kaiye Cai, Yang Zong, Zhen Wang, Rong Wang, Min Jian, Xin Jin, Jian Wang, Huanming Yan
    Cell Reports.2022; 38(10): 110459.     CrossRef
  • New BMI Cut-Off Points for Obesity in Middle-Aged and Older Adults in Clinical Nutrition Settings in Italy: A Cross-Sectional Study
    Laura Di Renzo, Leila Itani, Paola Gualtieri, Massimo Pellegrini, Marwan El Ghoch, Antonino De Lorenzo
    Nutrients.2022; 14(22): 4848.     CrossRef
  • Social Activities and Health-Related Quality of Life in Rural Older Adults in South Korea: A 4-Year Longitudinal Analysis
    JiYeon Choi, Kyeongra Yang, Sang Hui Chu, Yoosik Youm, Hyeon Chang Kim, Yeong-Ran Park, Youn-Jung Son
    International Journal of Environmental Research and Public Health.2020; 17(15): 5553.     CrossRef
  • Association between body mass index and health-related quality of life among Chinese elderly—evidence from a community-based study
    Hua You, Xiao-lu Li, Kang-zhen Jing, Zhi-guang Li, Hong-mei Cao, Jin Wang, Lan Bai, Jing-hong Gu, Xiaoman Fan, Hai Gu
    BMC Public Health.2018;[Epub]     CrossRef
  • 8,181 View
  • 80 Download
  • 8 Web of Science
  • 11 Crossref
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