@article{oai:u-ryukyu.repo.nii.ac.jp:02011037, author = {Miyazato, Minoru and Ashikari, Asuka and Nakamura, Koshi and Nakamura, Takehiro and Yamashiro, Kiyoto and Uema, Tsugumi and Uehara, Moriyuki and Masuzaki, Hiroaki and Saito, Seiichi and Maeda, Shiro and Ishida, Hajime and Matsushita, Masayuki}, issue = {8}, journal = {International Urology and Nephrology}, month = {Apr}, note = {Purpose:To evaluate the effect of a mobile digital intervention on voiding patterns, we performed 24-h voided volume monitoring in individuals with metabolic disorders.\nMethods:Participants with metabolic disorders were grouped into either the intervention group (n = 17), who had access to a smartphone app (CARADA), or the non-intervention group (n = 11), who did not. Urine monitoring was conducted for 24 h using a novel digital self-health monitoring system for urine excretion (s-HMSU). Body weight, abdominal circumference, blood pressure, and biomarkers were measured.\nResults:Physical findings and blood test results at baseline and 6 months indicated no significant between-group differences. Night-time frequency did not change between baseline and 6 months in the intervention group but significantly worsened at 6 months in the non-intervention group, as compared to baseline (1.0 ± 0.7 vs. 1.5 ± 0.5, p < 0.05). The change in night-time frequency over 6 months did not differ between the intervention and non-intervention groups. Furthermore, the change in hours of undisturbed sleep over 6 months did not differ between the two groups. However, compared with baseline, nocturnal polyuria index tended to worsen at 6 months in the non-intervention group.\nConclusion:Our study results suggest that mobile digital intervention might be useful for behavioral therapy to improve night-time frequency and urine production and that s-HMSU might be beneficial for confirming the prevention of progress in individuals with metabolic disorders, which can aid in modifying lifestyle., 論文}, pages = {1497--1505}, title = {Effect of a mobile digital intervention to enhance physical activity in individuals with metabolic disorders on voiding patterns measured by 24-h voided volume monitoring system: Kumejima Digital Health Project (KDHP)}, volume = {53}, year = {2021} }