Evidence map›Paper›PMID 40210648›Full record

ArticleScientific reports2025

Network structure of common mental health problems and life satisfaction in a Japanese population.

Shota Noda, Motohiro Nishiuchi, Maaya Kobayashi, Stefan G Hofmann

Abstract read
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

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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

4 authors.

Shota NodaDepartment of Psychology, Philipps-University of Marburg, Schulstraße 12, 35032, Marburg, Germany. norashouta@outlook.jp.
Motohiro NishiuchiGraduate School of Human and Social Sciences, Musashino University, 3-3-3 Ariake, Koto-ku, Tokyo, 135-8181, Japan.
Maaya KobayashiResearch Institute of Cognitive Behavior Therapy, Musashino University, 3-3-3 Ariake, Koto-ku, Tokyo, 135-8181, Japan.
Stefan G HofmannDepartment of Psychology, Philipps-University of Marburg, Schulstraße 12, 35032, Marburg, Germany. stefan.g.hofmann@gmail.com.

Funding

DYNAMIC center, funded by the LOEWE program of the Hessian Ministry of Science and Arts LOEWE1/16/519/03/09.001(0009)/98JSPS KAKENHI 24K16849
6 · The paper itself

Abstract

Poor life-satisfaction, feelings of loneliness, depression, and anxiety are commonly reported in the Japanese general population. The aim of this study was to examine the network structure of these common mental health problems in a Japanese sample and to explore differences between males and females. Participants (N = 476; 235 males, 241 females) were recruited from a Japanese general population and completed questionnaires to measure levels of depression, anxiety, loneliness, and life satisfaction. A psychometric network analysis was conducted using a Gaussian Graphical Model, and a network comparison test (NCT) was performed to evaluate overall consistency and differences in global network connectivity. The network analysis identified problems relaxing, sad mood, feelings of isolation, and poor life satisfaction as central nodes in the overall network. The NCT revealed no significant differences between the male and female networks in the global network structure as well as connectivity. However, the strength values for restlessness and tiredness were significantly higher in the network for males than in the network for females. There were no differences in the global network structure and connectivity of mental health psychopathology between males and females. Problems relaxing, feelings of depression, being isolated from others, and poor life satisfaction contribute to poor mental health and may be potential intervention targets.

Indexed as

Mental HealthPersonal SatisfactionAdultAgedAnxietyDepressionEast Asian PeopleFemaleHumansJapanLonelinessMaleMiddle AgedPsychometricsSurveys and QuestionnairesYoung AdultAnxietyDepressionLonelinessMental healthNetwork analysisSatisfaction with life

Identifiers

PMID40210648
PMCPMC11986124

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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.