From the Department of Obstetrics and Gynecology, Faculty of Medicine, Kindai University, Osaka, Japan.
Department of Hygiene and Public Health, Faculty of Medicine, Osaka Medical Pharmaceutical University, Osaka, Japan.
Menopause. 2022 Oct 1;29(10):1176-1183. doi: 10.1097/GME.0000000000002034. Epub 2022 Aug 20.
The aims of this study were to investigate trends in bone mineral density (BMD) loss and related factors in early postmenopausal women in Japan, identify risk factors for future osteoporosis, and predict osteoporosis before it occurs.
The study population consisted of women who were 50 to 54 years old at the time of the survey in 2002 or 2006. The study included a questionnaire and physical measurement findings (BMD, height, body weight [WT], body mass index [BMI], and handgrip strength). One hundred sixty-seven women continued to participate in the study and had BMD measurements at the 9- or 10-year follow-up of the Japanese Population-based Osteoporosis study. Statistical analyses were performed using Pearson correlation to examine each factor of physical measurement and BMD for lumbar spine (LS) and femoral neck (FN). The receiver operating characteristic curve of this data was also predictive of osteoporosis in 2011 for 2002 data; BMD at the age of 50 to 54 years was then used to predict the likelihood of being diagnosed with osteoporosis 9 and 10 years later.
At the baseline in 2002 and 2006, WT, BMI, height, and handgrip strength were positively correlated with BMD. The optimal cutoff values for BMD in 2006 to predict osteoporosis in 2016 were LS less than 0.834 g/cm 2 and FN less than 0.702 g/cm 2 . These data were also predictive of osteoporosis in 2011 for 2002 data; applying this to the 2002 data, LS/FN had a sensitivity of 92%/100%, a specificity of 87%/81%, a positive predictive value of 55%/48%, and a negative predictive value of 98%/100%. The larger WT and BMI also resulted in a greater decrease in BMD of FN after 9 or 10 years.
We have identified a cutoff value for BMD to predict future osteoporosis in menopausal women and found a negative correlation between WT and BMI in menopausal women and changes in BMD of the FN over the next 10 years.
本研究旨在探讨日本绝经后早期妇女骨密度(BMD)丢失的趋势及相关因素,确定未来骨质疏松的风险因素,并预测骨质疏松的发生。
研究人群为 2002 年或 2006 年调查时年龄在 50 至 54 岁的女性。研究包括问卷调查和体格测量结果(BMD、身高、体重[WT]、体重指数[BMI]和握力)。167 名女性继续参与研究,并在日本基于人群的骨质疏松研究中进行了 9 或 10 年的随访 BMD 测量。使用 Pearson 相关性分析对体格测量和腰椎(LS)和股骨颈(FN)的 BMD 进行分析。该数据的受试者工作特征曲线也可预测 2011 年 2002 年的数据;然后使用 50 至 54 岁时的 BMD 预测 9 至 10 年后骨质疏松的可能性。
在 2002 年和 2006 年的基线时,WT、BMI、身高和握力与 BMD 呈正相关。2006 年 BMD 的最佳截断值可预测 2016 年骨质疏松症的 LS 小于 0.834 g/cm 2 和 FN 小于 0.702 g/cm 2 。这些数据也可预测 2011 年 2002 年的数据;将其应用于 2002 年的数据,LS/FN 的灵敏度为 92%/100%,特异性为 87%/81%,阳性预测值为 55%/48%,阴性预测值为 98%/100%。较大的 WT 和 BMI 也导致绝经后妇女 FN 的 BMD 在 9 或 10 年后下降更多。
我们已经确定了 BMD 的截断值来预测绝经后妇女的未来骨质疏松症,并发现绝经后妇女的 WT 和 BMI 与未来 10 年内 FN 的 BMD 变化呈负相关。