KM Data Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.
Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.
PLoS One. 2021 Dec 13;16(12):e0261361. doi: 10.1371/journal.pone.0261361. eCollection 2021.
Osteoporosis a common bone disorder characterized by decreases in bone mass, tension, and strength. Although many previous studies worldwide have sought to identify the risk factors for osteoporosis, studies that simultaneously examine a variety of factors, such as biochemical, anthropometric and nutritional components, are very rare. Therefore, the objective of this study was to simultaneously examine the association of osteoporosis with biochemical profiles, anthropometric factors, and nutritional components in a large-scale cross-sectional study.
This cross-sectional study was based on data from the Korea National Health and Nutrition Examination Survey (KNHANES VI-VII) from 2015 to 2018. Based on data from 16,454 participants, logistic regression was used to examine the association between various parameters in a crude analysis and in models adjusted for confounders.
In men, osteoporosis was significantly associated with the anthropometric variables height and weight; the biochemical components hemoglobin, hematocrit, urea nitrogen and urine pH and creatinine; and the nutritional components total food intake, energy, water, protein, phosphorus, and kalium. However, these associations disappeared in adjusted model 2. In women, osteoporosis was significantly related to the anthropometric measures height, weight, and systolic blood pressure; the biochemical components hemoglobin, hematocrit and urine pH; and the nutritional components total food intake, water, calcium, phosphorus, and kalium. Most of these associations were maintained in the adjusted models.
Osteoporosis was linked to various anthropometric, biochemical and urine and nutritional components in Korean women, but the association between osteoporosis and risk factors differed according to sex.
骨质疏松症是一种常见的骨骼疾病,其特征是骨量、张力和强度下降。尽管全世界许多先前的研究都试图确定骨质疏松症的风险因素,但同时检查多种因素的研究非常罕见,如生化、人体测量和营养成分。因此,本研究的目的是在一项大规模的横断面研究中同时检查骨质疏松症与生化特征、人体测量因素和营养成分的相关性。
本横断面研究基于 2015 年至 2018 年韩国国家健康和营养检查调查(KNHANES VI-VII)的数据。基于 16454 名参与者的数据,使用逻辑回归在粗分析和调整混杂因素的模型中检查各种参数之间的关联。
在男性中,骨质疏松症与身高和体重等人体测量变量;血红蛋白、血细胞比容、尿素氮和尿液 pH 值和肌酐等生化成分;以及总食物摄入量、能量、水、蛋白质、磷和钾等营养成分显著相关。然而,这些关联在调整后的模型 2 中消失了。在女性中,骨质疏松症与身高、体重和收缩压等人体测量指标;血红蛋白、血细胞比容和尿液 pH 值等生化成分;以及总食物摄入量、水、钙、磷和钾等营养成分显著相关。这些关联中的大多数在调整后的模型中得以维持。
骨质疏松症与韩国女性的各种人体测量、生化和尿液及营养成分有关,但骨质疏松症与危险因素之间的关联因性别而异。