Evidence map›Paper›PMID 40369037›Full record

ArticleScientific reports2025

Digital support for female students in physical education universities in Japan.

Junko Okuyama, Shuji Seto, Tomonori Motokawa, Tomomi Kato, Aya Miyamoto, Maki Maekawa, Shunichi Funakoshi, Tatsuma Okazaki, Satoru Ebihara

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. 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
–field-weighted citation impact
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.

  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

9 authors.

Junko OkuyamaDepartment of Human Health and Nutrition, Shokei Gakuin University, 4-10-1 Yurigaoka, Natori, Miyagi, 981-1295, Japan. ju_okuyama@shokei.ac.jp.
Shuji SetoFaculty of Informatics and Data Science, Akita University, 1-1 Tegatagakuen-machi, Akita-shi, Akita, Japan.
Tomonori MotokawaFrontier Research Center, POLA Chemical Industries, Inc., 560 Kashio-cho, Totsuka-ku, Yokohama, Kanagawa, Japan.
Tomomi KatoFrontier Research Center, POLA Chemical Industries, Inc., 560 Kashio-cho, Totsuka-ku, Yokohama, Kanagawa, Japan.
Aya MiyamotoDepartment of Athletic and Sport Sciences, International Pacific University, 721 Kannonji, Seto-cho, Higashi-ku, Okayama City, Okayama, Japan.
Maki MaekawaNara National Institute of Higher Education and Research, Nara University of Education, Takabatake-cho, Nara City, Nara, Japan.
Shunichi FunakoshiArimakougen Hospital, 4663-3, Kamitsu, Nagao-cho, Kita-ku,, Kobe,, Hyogo, Japan.
Tatsuma OkazakiDepartment of Rehabilitation Medicine, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai City, Miyagi, Japan.
Satoru EbiharaDepartment of Rehabilitation Medicine, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai City, Miyagi, Japan.

Funding

Grant-in-Aid for Young Scientists, JSPS KAKENHI 22K15780the Innovative Suicide Research Promotion Program, Innovative Suicide Research Promotion Program Contract Research (Center for Suicide Prevention to Support Life) Area 3
6 · The paper itself

Abstract

Alongside acquiring specialized knowledge and accomplishing developmental tasks, athletic colleges require young athletes to also be active. We investigated the use of a smartphone application, ME-FULLNESS, as an unprecedented support method for female college students currently enrolled in athletic colleges. ME-FULLNESS is an application that infers one's psychological state from their facial information and improves their psychological state with music, vibration, and images that match that psychological state. We conducted a psychological survey with purposively selected female university students (18 to 24 years) at the International Pacific University in Okayama, Japan, before and after one month of using ME-FULLNESS (N = 76) and a group of non-users (N = 25). The app-using group showed significant improvement in depressive symptoms (p = 0.002), anxiety symptoms (p = 0.000), stress (p = 0.000), insomnia (p = 0.002), severity of premenstrual syndrome (p = 0.000), and resilience scores (p = 0.000), while the non-app-using group showed improvement in anxiety (p = 0.009) and resilience scores (p = 0.000). This study suggests that using the ME-FULLNESS app may improve depression, stress, insomnia, and resilience among athletic female students, positively contributing to their college life and sports performance.

Indexed as

Mobile ApplicationsPhysical Education and TrainingStudentsAdolescentAnxietyDepressionFemaleHumansJapanSmartphoneSurveys and QuestionnairesUniversitiesYoung AdultFacial dataFemale athletesInsomniaMood stabilizationPremenstrual syndromePsychological state

Identifiers

PMID40369037
PMCPMC12078689

What Socratic holds

Textmetadata
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 Socratic graph.