Department of General Medical Science, Chiba University Graduate School of Medicine, Chiba, Japan.
Geriatric Medical Center, Chiba University Hospital, Chiba, Japan.
Sci Rep. 2022 May 16;12(1):8107. doi: 10.1038/s41598-022-12291-5.
Utilizing automatic daily body weight (BW) measurements may be helpful for assessing nutritional status and detecting underlying diseases particularly in older people who require nursing care. This preliminary study aimed to verify effectiveness of eating assistance for maintaining BW in older people using a contact-free load cells under the bed (Bed Sensor System: BSS). BW was measured every night for 3 months in eight nursing home older people with severe cognitive and physical dysfunctions. Body composition of the subject's trunk and each limb was measured using a segmented multi-frequency bioelectrical impedance analyzer (BIA). A monthly BW loss was estimated as a slope of linear regression of the daily BW plot. BSS successfully measured daily BW for the study period in all participants. The 4 residents with eating assistance gained slightly more weight, while the 4 residents without eating assistance lost weight. There was a significant difference between the two groups in the monthly BW change (- 0.79 ± 0.51 kg/month versus 0.20 ± 0.49 kg/month, P = 0.030). None of the BIA-derived parameters was associated with the monthly BW change. BSS revealed effectiveness of eating assistance to maintain BW in nursing home residents with severe cognitive and physical dysfunctions.
利用自动每日体重 (BW) 测量可能有助于评估营养状况并发现潜在疾病,特别是在需要护理的老年人中。这项初步研究旨在验证使用床下无接触式称重传感器系统 (Bed Sensor System: BSS) 为老年人提供饮食辅助以维持 BW 的效果。在 8 名患有严重认知和身体功能障碍的养老院老年人中,使用分段多频生物电阻抗分析仪 (BIA) 测量了受试者躯干和每个肢体的身体成分。每月 BW 损失估计为每日 BW 图的线性回归斜率。BSS 成功地在所有参与者中测量了研究期间的每日 BW。接受饮食辅助的 4 位居民体重略有增加,而未接受饮食辅助的 4 位居民体重减轻。两组之间每月 BW 变化有显著差异 (-0.79 ± 0.51 kg/月与 0.20 ± 0.49 kg/月,P=0.030)。BIA 衍生参数均与每月 BW 变化无关。BSS 揭示了饮食辅助在严重认知和身体功能障碍的养老院居民中维持 BW 的有效性。