Sang Youl Rhee1,2, Dong Keon Yon2, Mi Jung Kwon3, Ji Hee Kim4, Joo-Hee Kim5, Woo Jin Bang6, Jung Woo Lee7, Bong-Cheol Kwon8, Hyo Geun Choi9,10, Chanyang Min11. 1. Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea. 2. Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, 26, Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea. 3. Department of Pathology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea. 4. Department of Neurosurgery, Hallym University College of Medicine, Anyang, Korea. 5. Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea. 6. Department of Urology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea. 7. Department of Orthopaedic Surgery, Yonsei University Wonju College of Medicine, Wonju, Korea. 8. Department of Orthopaedic Surgery, Hallym University College of Medicine, Anyang, Korea. 9. Hallym Data Science Laboratory, Hallym University College of Medicine, Anyang, Korea. pupen@naver.com. 10. Department of Otorhinolaryngology-Head & Neck Surgery, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, 22, Gwanpyeong-ro 170beon-gil, Dongan-gu, Anyang-si, Gyeonggi-do, 14068, Republic of Korea. pupen@naver.com. 11. Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, 26, Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea. joicemin@naver.com.
Abstract
This study aimed to examine the association between a history of metabolic syndrome (MetS) and osteoporosis with specific characteristics. The results showed that MetS was inversely associated with osteoporosis. In contrast, MetS was positively associated with osteoporosis in both obese men and postmenopausal obese women. PURPOSE: Although several previous studies have investigated the association between MetS and osteoporosis, their findings remain controversial. This study aimed to examine the association between a MetS history and osteoporosis using a subset of data from a large, long-term, national database. METHODS: This nested case-control study used the National Health Information Database (NHID) of the Korea National Health Insurance Service (NHIS) from 2009 to 2017. Osteoporosis (n = 459,771) and control (n = 459,771) participants were matched in a 1:1 ratio by age, gender, income, and region of residence. MetS was defined based on the modified National Cholesterol Education Program-Adult Treatment Panel III criteria. Crude and adjusted odds ratios (ORs) with 95% confidence intervals (CIs) for osteoporosis in patients with MetS and its components were analyzed using logistic regression. Subgroup analyses were performed according to the combination of gender, menopausal status, and obesity status. RESULTS: The adjusted OR (95% CI) for osteoporosis in patients with MetS was 0.95 (0.94-0.96). This finding was consistent with the subgroup analyses in normal weight men, premenopausal (pre-MP) women with all obesity statuses, and postmenopausal (post-MP) underweight and normal weight women. In contrast, the opposite was observed for obese men (OR = 1.05, 95% CI = 1.01-1.09) and post-MP obese women (OR = 1.05, 95% CI = 1.01-1.08). CONCLUSION: This study results suggested that MetS was associated with a low occurrence of osteoporosis. In contrast, MetS was associated with a high occurrence of osteoporosis in both obese men and post-MP obese women.
This study aimed to examine the association between a history of metabolic syndrome (MetS) and osteoporosis with specific characteristics. The results showed that MetS was inversely associated with osteoporosis. In contrast, MetS was positively associated with osteoporosis in both obese men and postmenopausal obese women. PURPOSE: Although several previous studies have investigated the association between MetS and osteoporosis, their findings remain controversial. This study aimed to examine the association between a MetS history and osteoporosis using a subset of data from a large, long-term, national database. METHODS: This nested case-control study used the National Health Information Database (NHID) of the Korea National Health Insurance Service (NHIS) from 2009 to 2017. Osteoporosis (n = 459,771) and control (n = 459,771) participants were matched in a 1:1 ratio by age, gender, income, and region of residence. MetS was defined based on the modified National Cholesterol Education Program-Adult Treatment Panel III criteria. Crude and adjusted odds ratios (ORs) with 95% confidence intervals (CIs) for osteoporosis in patients with MetS and its components were analyzed using logistic regression. Subgroup analyses were performed according to the combination of gender, menopausal status, and obesity status. RESULTS: The adjusted OR (95% CI) for osteoporosis in patients with MetS was 0.95 (0.94-0.96). This finding was consistent with the subgroup analyses in normal weight men, premenopausal (pre-MP) women with all obesity statuses, and postmenopausal (post-MP) underweight and normal weight women. In contrast, the opposite was observed for obese men (OR = 1.05, 95% CI = 1.01-1.09) and post-MP obese women (OR = 1.05, 95% CI = 1.01-1.08). CONCLUSION: This study results suggested that MetS was associated with a low occurrence of osteoporosis. In contrast, MetS was associated with a high occurrence of osteoporosis in both obese men and post-MP obese women.
Authors: Hanna-Maaria Lakka; David E Laaksonen; Timo A Lakka; Leo K Niskanen; Esko Kumpusalo; Jaakko Tuomilehto; Jukka T Salonen Journal: JAMA Date: 2002-12-04 Impact factor: 56.272
Authors: B-J Kim; S H Ahn; S J Bae; E H Kim; T-H Kim; S H Lee; H-K Kim; J W Choe; S-Y Kim; J-M Koh; G S Kim Journal: Osteoporos Int Date: 2013-02-07 Impact factor: 4.507
Authors: Jacques P Brown; Jonathan D Adachi; Emil Schemitsch; Jean-Eric Tarride; Vivien Brown; Alan Bell; Maureen Reiner; Thiago Oliveira; Ponda Motsepe-Ditshego; Natasha Burke; Lubomira Slatkovska Journal: BMC Musculoskelet Disord Date: 2021-01-23 Impact factor: 2.362