Osawa Ryuji, Ikegami Shota, Horiuchi Hiroshi, Tokida Ryosuke, Kato Hiroyuki, Takahashi Jun
Rehabilitation Center, Shinshu University Hospital, 3-1-1 Asahi, Matsumoto, Nagano 390-8621, Japan.
Department of Orthopaedic Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano 390-8621, Japan.
J Clin Med. 2021 Apr 27;10(9):1896. doi: 10.3390/jcm10091896.
Osteoporosis may increase fracture risk and reduce healthy quality of life in older adults. This study aimed to identify an assessment method using physical performance tests to screen for osteoporosis in community dwelling individuals. A total of 168 women aged 50-89 years without diagnosed osteoporosis were randomly selected from the resident registry of a cooperating town for the evaluation of physical characteristics, muscle strength, and several physical performance tests. The most effective combinations of evaluation items to detect osteoporosis (i.e., T-score ≤ -2.5 at the spine or hip) were selected by multivariate analysis and cutoff values were determined by likelihood ratio matrices. Thirty-six women (21.4%) were classified as having osteoporosis. By analyzing combinations of two-step test (TST) score and body mass index (BMI), osteoporosis could be reliably suspected in individuals with TST ≤ 1.30 and BMI ≤ 23.4, TST ≤ 1.32 and BMI ≤ 22.4, TST ≤ 1.34 and BMI ≤ 21.6, or TST < 1.24 and any BMI. Setting cut-off values for TST in combination with BMI represents an easy and possibly effective screening tool for osteoporosis detection in resident health exams.
骨质疏松症可能会增加老年人骨折的风险并降低其健康生活质量。本研究旨在确定一种使用身体机能测试来筛查社区居住个体骨质疏松症的评估方法。从一个合作城镇的居民登记册中随机选取了168名年龄在50 - 89岁之间、未被诊断为骨质疏松症的女性，对其身体特征、肌肉力量和多项身体机能测试进行评估。通过多变量分析选择检测骨质疏松症（即脊柱或髋部T值≤ -2.5）最有效的评估项目组合，并通过似然比矩阵确定临界值。36名女性（21.4%）被归类为患有骨质疏松症。通过分析两步测试（TST）得分与体重指数（BMI）的组合，对于TST≤1.30且BMI≤23.4、TST≤1.32且BMI≤22.4、TST≤1.34且BMI≤21.6或TST < 1.24且任意BMI的个体，可以可靠地怀疑其患有骨质疏松症。结合BMI设定TST的临界值代表了一种在居民健康检查中检测骨质疏松症的简单且可能有效的筛查工具。
