Evidence map›Paper›PMID 33909235›Full record

ArticleInternational urology and nephrology2021

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).

Minoru Miyazato, Asuka Ashikari, Koshi Nakamura, Takehiro Nakamura, Kiyoto Yamashiro, Tsugumi Uema, Moriyuki Uehara, Hiroaki Masuzaki, Seiichi Saito, Shiro Maeda and 2 more

Open access · hybridAbstract read
In one paragraph

Article in International urology and nephrology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Minoru MiyazatoDepartment of Systems Physiology, Graduate School of Medicine, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa, 903-0215, Japan. miyaz929@med.u-ryukyu.ac.jp.ORCID http://orcid.org/0000-0003-3669-4510
Asuka AshikariDepartment of Urology, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.
Koshi NakamuraDepartment of Public Health and Hygiene, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.ORCID http://orcid.org/0000-0001-8141-7614
Takehiro NakamuraDivision of Endocrinology, Diabetes and Metabolism, Hematology, Rheumatology (Second Department of Internal Medicine), Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.
Kiyoto YamashiroDivision of Endocrinology, Diabetes and Metabolism, Hematology, Rheumatology (Second Department of Internal Medicine), Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.
Tsugumi UemaDivision of Endocrinology, Diabetes and Metabolism, Hematology, Rheumatology (Second Department of Internal Medicine), Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.
Moriyuki UeharaDivision of Endocrinology, Diabetes and Metabolism, Hematology, Rheumatology (Second Department of Internal Medicine), Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.
Hiroaki MasuzakiDivision of Endocrinology, Diabetes and Metabolism, Hematology, Rheumatology (Second Department of Internal Medicine), Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.ORCID http://orcid.org/0000-0002-2445-1047
Seiichi SaitoDepartment of Urology, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.
Shiro MaedaDepartment of Advanced Genomic and Laboratory Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.ORCID http://orcid.org/0000-0001-6688-9875
Hajime IshidaDepartment of Human Biology and Anatomy, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.ORCID http://orcid.org/0000-0002-5781-7914
Masayuki MatsushitaDepartment of Molecular and Cellular Physiology, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.
University of the Ryukyus · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the effect of a mobile digital intervention on voiding patterns, we performed 24-h voided volume monitoring in individuals with metabolic disorders.

methodsParticipants 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.

resultsPhysical 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.

conclusionOur 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.

Indexed as

ExerciseMobile ApplicationsUrinationAdultFemaleHumansMaleMetabolic DiseasesMiddle AgedMonitoring, PhysiologicNocturiaProspective StudiesUrineLifestyleMetabolic diseasesNocturiaPolyuriaVoided volume

Identifiers

PMID33909235
PMCPMC8280019
OpenAlexW3159002444

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.