Tanaka Yuji, Ando Takashi, Mochizuki Kazuki, Igarashi Satoshi, Tsuchiya Kyoichiro, Saito Kozo, Ito Yasumi, Yamagata Zentaro, Iwasaki Masaru
Department of Advanced Biomedical Research, Faculty of Medicine, University of Yamanashi, Yamanashi, Japan.
Yamanashi GLIA Centre, University of Yamanashi, Yamanashi, Japan.
Front Aging. 2022 Oct 14;3:965199. doi: 10.3389/fragi.2022.965199. eCollection 2022.
Aging is a risk factor for sleep apnoea syndrome (SAS), which is associated with lower quality of life and sudden mortality. However, SAS is often overlooked in older adults without suspicions. Therefore, this study aimed to evaluate SAS incidence and 48 other general factors in older adults. This cross-sectional study included all non-caregiver-certified, healthy individuals (N = 32) who survived during the long-term cohort study and agreed to participate in apnoea-hypopnoea index (AHI) measurement (aged 83-95 years). AHI and 48 other general factors were evaluated, and simple linear regression analysis was used to identify potential AHI-related factors. Stepwise evaluation was further performed using multiple linear regression analyses. Although no individuals were previously diagnosed with SAS, 30 (93.75%) participants had some degree of SAS (AHI > 5/h), and 22 (68.75%) had severe or moderate SAS (AHI > 15/h). Compared with typical single risk factors represented by body mass index, combining daily steps and other factors improved the fit to the multiple linear regression. Combining daily steps and body mass index improved the fit for males and combining daily steps and red blood cell count improved the fit for females. SAS was highly prevalent in unaware healthy Japanese older adults; combinations of daily steps and body mass index, and daily steps and red blood cell count may predict AHI in such individuals without the need for a specific AHI test.
衰老为睡眠呼吸暂停综合征（SAS）的一个风险因素，该综合征与生活质量下降及猝死相关。然而，在未被怀疑的老年人中，SAS常被忽视。因此，本研究旨在评估老年人中SAS的发病率及其他48个一般因素。这项横断面研究纳入了所有在长期队列研究中存活下来且同意参与呼吸暂停低通气指数（AHI）测量的非护理人员认证的健康个体（N = 32）（年龄在83 - 95岁之间）。对AHI和其他48个一般因素进行了评估，并使用简单线性回归分析来确定潜在的与AHI相关的因素。进一步使用多元线性回归分析进行逐步评估。尽管之前没有个体被诊断为SAS，但30名（93.75%）参与者有一定程度的SAS（AHI > 5/小时），22名（68.75%）有重度或中度SAS（AHI > 15/小时）。与以体重指数为代表的典型单一风险因素相比，将每日步数与其他因素相结合可改善多元线性回归的拟合度。将每日步数与体重指数相结合对男性改善了拟合度，将每日步数与红细胞计数相结合对女性改善了拟合度。SAS在未被察觉的健康日本老年人中高度流行；每日步数与体重指数以及每日步数与红细胞计数的组合可能无需进行特定的AHI检测就能预测此类个体的AHI。
