Arakawa Motoki, Watanabe Takayuki, Suzuki Koya, Nishino Junichi, Sekizuka Hiromitsu, Iwahori Toshiyuki, Ono Shin-Ichi, Hidaka Shinji
Laboratory of Pharmaceutical Regulatory Science, Faculty of Practical Pharmaceutical Sciences, School of Pharmacy, Nihon University, Chiba, Japan.
Department of Internal Medicine, Fujitsu Clinic, Kanagawa, Japan.
Ann Nutr Metab. 2021;77(5):289-298. doi: 10.1159/000519097. Epub 2021 Sep 23.
Although several approaches for approximating daily Na intake and the Na/K ratio using casual urine are available, the most useful method remains unclear during daily practice and at home.
Twenty-seven participants measured their casual urinary Na/K ratio repeatedly using a Na/K ratio monitor and also measured overnight urine once daily using a monitoring device which delivers on-site feedback to estimate their salt intake under unrestricted, low-salt (LS) (6 g/day), and high-salt (HS) (12 g/day) diets.
The monitoring method utilizing overnight urine to estimate daily Na remained insensitive, resulting in significant overestimation during the LS diet and underestimation during the HS diet periods; estimated salt intake during the LS and HS diet periods plateaued at 7-8 g/day and 9-10 g/day within 3 day; mean estimated salt intake was 11.3 g/day, 7.9 g/day, and 9.8 g/day on the last day of the unrestricted, LS, and HS diets; the coefficient of variation (CV) of the estimated Na intake was 0.23 and 0.17 in the latter half of the low- and high-salt diet periods, respectively. The mean urinary Na/K molar ratio was 5.6, 2.5, and 5.3 on the last day of the unrestricted, LS, and HS diets; the CV of the daily mean Na/K ratio was 0.41 and 0.36 in the latter half of the LS and HS diet periods, respectively. The urinary Na/K ratio during the LS and HS diet periods plateaued within 2 days. The monitoring method based on the daily mean of the casual urinary Na/K ratio reflected the actual change in Na intake, and the estimated value tracked the actual changes in salt intake with smaller difference than the overnight urine estimates when using the estimation coefficient set at 2; estimated salt intake during the LS and HS diet periods plateaued at 5-6 g/day and 10-12 g/day within 2-3 day; mean estimated salt intake was 11.0 g/day, 5.7 g/day, and 10.7 g/day on the last day of the unrestricted, LS, and HS diets, respectively.
DISCUSSION/CONCLUSION: Estimates of daily Na intake derived from overnight urine may remain insensitive during dietary interventions. The urinary Na/K ratio reflects the actual change in Na intake during dietary modification and may serve as a practical marker, particularly during short-term interventions. Conversion from the urinary Na/K ratio to estimated salt intake may be useful, if the coefficient was set appropriate by further investigations.
尽管有几种利用随机尿样估算每日钠摄入量和钠/钾比值的方法,但在日常实践和家庭环境中,最实用的方法仍不明确。
27名参与者使用钠/钾比值监测仪反复测量其随机尿样的钠/钾比值,并每天使用能提供现场反馈的监测设备测量一次夜间尿液,以评估他们在自由饮食、低盐(LS)(6克/天)和高盐(HS)(12克/天)饮食条件下的盐摄入量。
利用夜间尿液估算每日钠摄入量的监测方法仍然不够灵敏,导致在低盐饮食期间显著高估,而在高盐饮食期间低估;低盐和高盐饮食期间的估算盐摄入量在3天内分别稳定在7 - 8克/天和9 - 10克/天;在自由饮食、低盐和高盐饮食的最后一天,平均估算盐摄入量分别为11.3克/天、7.9克/天和9.8克/天;在低盐和高盐饮食期后半段,估算钠摄入量的变异系数(CV)分别为0.23和0.17。在自由饮食、低盐和高盐饮食的最后一天,尿钠/钾摩尔比平均值分别为5.6、2.5和5.3;在低盐和高盐饮食期后半段,每日平均钠/钾比值的CV分别为0.41和0.36。低盐和高盐饮食期间的尿钠/钾比值在2天内趋于稳定。基于随机尿样钠/钾比值日均值的监测方法反映了钠摄入量的实际变化,当估算系数设定为2时,估算值跟踪盐摄入量的实际变化,差异比夜间尿液估算值小;低盐和高盐饮食期间的估算盐摄入量在2 - 3天内分别稳定在5 - 6克/天和10 - 12克/天;在自由饮食、低盐和高盐饮食的最后一天,平均估算盐摄入量分别为11.0克/天、5.7克/天和10.7克/天。
讨论/结论:在饮食干预期间,通过夜间尿液估算每日钠摄入量可能仍然不够灵敏。尿钠/钾比值反映了饮食调整期间钠摄入量的实际变化,可作为一个实用指标,尤其是在短期干预期间。如果通过进一步研究设定合适的系数,从尿钠/钾比值转换为估算盐摄入量可能会很有用。