Association between Metabolic Syndrome and Osteoporosis in Korean Adults Aged Over 50 Years Old Using the Korea National Health and Nutrition Examination Survey, 2016-2017

Lee, Hyeon Hwa; Han, Mi Ah; Park, Jong

doi:10.21032/jhis.2019.44.3.245

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…The general characteristics of the participants grouped according to abnormal BMD were compared using the independent t-test for continuous variables and Pearson’s chi-square test for categorical variables. We performed multiple linear regression to examine the relationship between serum uric acid levels and BMD, and the following variables were corrected as confounders: age, BMI, SHx; social history ( 20 )(smk; smoking, alc; alcohol, exr; exercise), PMHx; past medical history ( 14 )(HTN; Hypertension, DM; Diabetes mellitus, DL; Dyslipidemia), and Lab; laboratory test (hsCRP ( 5 ), lnTG ( 34 ), Alb ( 35 )). In addition, we performed multiple logistic regression to show association between serum uric acid, and abnormal BMD (at least osteopenia) and we used the same confounders mentioned above.…”

Section: Methodsmentioning

confidence: 99%

Association between serum uric acid level and bone mineral density in men more than 50 years of age

Kim,

Lee,

Kwon

2023

Front. Endocrinol.

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BackgroundThe results of previous studies on the association between serum uric acid levels and bone mineral density and the risk of osteoporosis are controversial. Fat free mass (FFM) is more strongly associated with bone mineral density (BMD) than it is with body fat mass (BFM). Skeletal muscle mass is assumed to contribute indirectly to the relationship between serum uric acid levels and BMD. Therefore, we aimed to evaluate the association between serum uric acid levels and BMD and abnormal BMD (at least osteopenia) by considering body composition in men aged ≥ 50 years.MethodsThis was a retrospective observational cross-sectional study. We used data obtained from 2,991 men aged ≥50 years who completed questionnaires, anthropometric surveys, laboratory tests, and bone mineral density scans. A subgroup analysis of 1,135 men who additionally underwent body composition data analysis using Inbody® was performed. Multiple linear regression analysis was used to explore the relationship between serum uric acid levels and BMD at three sites (L1-L4, Femur neck, Femur total). In addition, multiple logistic regression analysis was performed to determine the association of serum uric acid levels with abnormal BMD (at least osteopenia).ResultsPositive correlations between serum uric acid levels and BMD at the three sites (L1-L4, Femur neck, Femur total) were observed in unadjusted and fully adjusted models except the BMD of the femoral neck (P-value=0.054).Furthermore, FFM and skeletal muscle mass index (SMI) showed positive association with serum uric acid level and BMD at three sites, with statistical significance. An increase in serum uric acid level was associated with a lower risk of abnormal BMD after adjusting for confounders including FFM and SMI.ConclusionSerum uric acid level was positively associated with BMD at three sites and had a protective effect against abnormal BMD after adjusting for multiple confounders, including FFM and SMI, in men aged ≥ 50 years.

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Section: Methodsmentioning

confidence: 99%

Association between serum uric acid level and bone mineral density in men more than 50 years of age

Kim,

Lee,

Kwon

2023

Front. Endocrinol.

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Developing the Osteoporosis Risk Scorecard Model in Korean Adult Women

Park¹

2021

J Health Info Stat

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Objectives: The aim of the study was to develop the osteoporosis risk scorecard model in korean adult women aged over 30 years old. Methods: The participants of the study were 11,427 adult women aged over 30 years old who participated in the four years of the Korea National Health and Nutrition Examination Survey (2015-2018). The data were analyzed using Rao-Scott chi-square test and weighted multiple logistic regression analysis of complex sampling design. The osteoporosis risk scorecard model was developed by weighted multiple logistic regression using points to double the odds (PDO) method. Results: This study found that there were many major influencing factors for osteoporosis which included household income, educational level, body mass index (BMI), hypertension, stroke, rheumatoid arthritis, hypercholesterolemia, sarcopenia, menopause and age of menarche. In the scorecard results, the highest score range was observed in the order menopause, age of menarche (16-17 years old), educational level (elementary school or below), rheumatoid arthritis BMI (<18.5 kg/m2) and others, suggesting that these were the most important risk factors. Conclusions: The significance of this study is that it comprehensively grasps the causal relationship between osteoporosis and various factors in korean adult women. Also, it can be used as a useful measurement tool for women’s musculoskeletal health management in health-related organizations by scoring this relationship.

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Association between Metabolic Syndrome and Osteoporosis in Korean Adults Aged Over 50 Years Old Using the Korea National Health and Nutrition Examination Survey, 2016-2017

Cited by 2 publications

References 17 publications

Association between serum uric acid level and bone mineral density in men more than 50 years of age

Association between serum uric acid level and bone mineral density in men more than 50 years of age

Developing the Osteoporosis Risk Scorecard Model in Korean Adult Women

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