Literature DB >> 28083665

The prevalence of osteoporosis and the rate of bone loss in Korean adults: the Chungju metabolic disease cohort (CMC) study.

Y Lim1, K Jo1, H-S Ha2, H-W Yim2,3, K-H Yoon1, W-C Lee2, H-Y Son1, K H Baek4, M-I Kang5.   

Abstract

Because the rate of bone loss is an important risk factor for fracture, we studied longitudinal changes in bone mineral density (BMD). Although the BMD of the hip decreased over time, spine BMD remained largely stable or increased. Therefore, spine BMD may not be appropriate for assessing BMD change.
INTRODUCTION: The rate of age-dependent bone loss has been shown to be an important risk factor for fracture. However, longitudinal rates of BMD loss in Korea have not yet been reported. The objective of this study was to evaluate longitudinal changes in BMD in Korea.
METHODS: This cohort study was performed in a population of individuals 40 years of age or older living in the rural area of Chungju City, Korea. A second BMD examination was conducted approximately 4 years after a baseline examination. A total of 3755 of the 6007 subjects completed the follow-up visit, corresponding to a follow-up rate of 62.51%.
RESULTS: The age-standardized osteoporosis prevalence was 12.81% in males and 44.35% in females. In males, the average annual BMD loss at the total hip increased from -0.25% per year in their 40s to -1.12% per year in their 80s. In females, the average annual BMD loss at the total hip increased from -0.69% per year in their 40s to -1.51% per year in their 80s. However, the average annual percentage change in spine BMD in females increased from -0.91% per year in their 40s to +1.39% per year in their 80s.
CONCLUSIONS: A substantial number of subjects had osteoporosis, even though we standardized the prevalence of osteoporosis. In total hip, the mean BMD was decreased during the follow-up period; in addition, the annual percentage loss increased with age. However, spine BMD remained approximately stable or increased over time and therefore may not be appropriate for assessing BMD change.

Entities:  

Keywords:  Age-related; Bone loss; Bone mineral density; Cohort studies; Osteoporosis

Mesh:

Year:  2017        PMID: 28083665     DOI: 10.1007/s00198-016-3893-z

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  19 in total

1.  Degeneration of the lumbar spine and dual-energy X-ray absorptiometry measurements in patients without osteoporosis.

Authors:  Ayce Atalay; Meral Kozakcioglu; Rahmi Cubuk; Nuri Tasali; Sefik Guney
Journal:  Clin Imaging       Date:  2009 Sep-Oct       Impact factor: 1.605

2.  Prevalence and risk factors of osteoporosis in Korea: a community-based cohort study with lumbar spine and hip bone mineral density.

Authors:  Chan Soo Shin; Hyung Jin Choi; Min Joo Kim; Jin Taek Kim; Sung Hoon Yu; Bo Kyeong Koo; Hwa Young Cho; Sun Wook Cho; Sang Wan Kim; Young Joo Park; Hak Chul Jang; Seong Yeon Kim; Nam H Cho
Journal:  Bone       Date:  2010-03-31       Impact factor: 4.398

3.  Determinants of bone loss in a rural Japanese community: the Taiji Study.

Authors:  N Yoshimura; T Hashimoto; S Morioka; K Sakata; T Kasamatsu; C Cooper
Journal:  Osteoporos Int       Date:  1998       Impact factor: 4.507

4.  Epidemiology of lumbar osteoporosis and osteoarthritis and their causal relationship--is osteoarthritis a predictor for osteoporosis or vice versa?: the Miyama study.

Authors:  N Yoshimura; S Muraki; H Oka; A Mabuchi; H Kinoshita; M Yosihda; H Kawaguchi; K Nakamura; T Akune
Journal:  Osteoporos Int       Date:  2008-11-07       Impact factor: 4.507

5.  Association between change in BMD and fragility fracture in women and men.

Authors:  Claudie Berger; Lisa Langsetmo; Lawrence Joseph; David A Hanley; K Shawn Davison; Robert G Josse; Jerilynn C Prior; Nancy Kreiger; Alan Tenenhouse; David Goltzman
Journal:  J Bone Miner Res       Date:  2009-02       Impact factor: 6.741

6.  A population-based assessment of rates of bone loss at multiple skeletal sites: evidence for substantial trabecular bone loss in young adult women and men.

Authors:  B Lawrence Riggs; L Joseph Melton; Richard A Robb; Jon J Camp; Elizabeth J Atkinson; Lisa McDaniel; Shreyasee Amin; Peggy A Rouleau; Sundeep Khosla
Journal:  J Bone Miner Res       Date:  2008-02       Impact factor: 6.741

7.  Change in bone mineral density as a function of age in women and men and association with the use of antiresorptive agents.

Authors:  Claudie Berger; Lisa Langsetmo; Lawrence Joseph; David A Hanley; K Shawn Davison; Robert Josse; Nancy Kreiger; Alan Tenenhouse; David Goltzman
Journal:  CMAJ       Date:  2008-06-17       Impact factor: 8.262

Review 8.  Executive summary of the 2013 International Society for Clinical Densitometry Position Development Conference on bone densitometry.

Authors:  John T Schousboe; John A Shepherd; John P Bilezikian; Sanford Baim
Journal:  J Clin Densitom       Date:  2013 Oct-Dec       Impact factor: 2.617

9.  Predicting the development of diabetes using the product of triglycerides and glucose: the Chungju Metabolic Disease Cohort (CMC) study.

Authors:  Seung-Hwan Lee; Hyuk-Sang Kwon; Yong-Moon Park; Hee-Sung Ha; Seung Hee Jeong; Hae Kyung Yang; Jin-Hee Lee; Hyeon-Woo Yim; Moo-Il Kang; Won-Chul Lee; Ho-Young Son; Kun-Ho Yoon
Journal:  PLoS One       Date:  2014-02-28       Impact factor: 3.240

10.  Association between household size, residential area, and osteoporosis: analysis of 2008 to 2011 Korea National Health and Nutrition Examination Survey.

Authors:  Sung-Woo Kim; Kwi-Hyun Bae; Jung-Beom Seo; Jae-Han Jeon; Won-Kee Lee; In-Kyu Lee; Jung-Guk Kim; Keun-Gyu Park
Journal:  Korean J Intern Med       Date:  2016-04-15       Impact factor: 2.884

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  4 in total

1.  Age-Related Changes in Trabecular Bone Score and Bone Mineral Density in Chinese Men: A Cross-Sectional and Longitudinal Study.

Authors:  Huan Tang; Wenjuan Di; Hanmei Qi; Juan Liu; Jing Yu; Jinmei Cai; Bing Lai; Guoxian Ding; Peng Cheng
Journal:  Clin Interv Aging       Date:  2022-04-07       Impact factor: 4.458

2.  Association between renal function and bone mineral density in healthy postmenopausal Chinese women.

Authors:  Shuang Li; Junkun Zhan; Yanjiao Wang; Yi Wang; Jieyu He; Wu Huang; Zhifeng Sheng; Youshuo Liu
Journal:  BMC Endocr Disord       Date:  2019-12-26       Impact factor: 2.763

Review 3.  Global prevalence of osteoporosis among the world older adults: a comprehensive systematic review and meta-analysis.

Authors:  Nader Salari; Niloofar Darvishi; Yalda Bartina; Mojdeh Larti; Aliakbar Kiaei; Mahvan Hemmati; Shamarina Shohaimi; Masoud Mohammadi
Journal:  J Orthop Surg Res       Date:  2021-11-13       Impact factor: 2.359

4.  Utilization of Osteoporosis-Related Health Services: Use of Data from the Korean National Health Insurance Database 2008-2012.

Authors:  Tae Yang Yu; Hyemin Cho; Tae Young Kim; Yong Chan Ha; Sunmee Jang; Ha Young Kim
Journal:  J Korean Med Sci       Date:  2018-01-15       Impact factor: 2.153

  4 in total

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