Evidence map›Paper›PMID 40281000›Full record

ArticleScientific reports2025

Graphical model analysis of subjective well-being and various factors in Japanese adults from the Iwaki cross-sectional study.

Shunji Sakai, Akito Onoda, Emi Hasegawa, Ippei Kawanishi, Gakuro Ikeda, Koichi Murashita, Ken Itoh, Yoshinori Tamada, Tatsuya Mikami, Shigeyuki Nakaji and 1 more

Erratum issuedAbstract 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. An erratum has been issued. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Shunji SakaiInstitute of Food Sciences and Technologies, Ajinomoto Co., Inc., 1-1, Suzuki-cho, Kawasaki-ku, Kawasaki, Kanagawa, 210-8681, Japan.
Akito OnodaInstitute of Food Sciences and Technologies, Ajinomoto Co., Inc., 1-1, Suzuki-cho, Kawasaki-ku, Kawasaki, Kanagawa, 210-8681, Japan.
Emi HasegawaInstitute of Food Sciences and Technologies, Ajinomoto Co., Inc., 1-1, Suzuki-cho, Kawasaki-ku, Kawasaki, Kanagawa, 210-8681, Japan.
Ippei KawanishiInstitute of Food Sciences and Technologies, Ajinomoto Co., Inc., 1-1, Suzuki-cho, Kawasaki-ku, Kawasaki, Kanagawa, 210-8681, Japan.
Gakuro IkedaInstitute of Food Sciences and Technologies, Ajinomoto Co., Inc., 1-1, Suzuki-cho, Kawasaki-ku, Kawasaki, Kanagawa, 210-8681, Japan.
Koichi MurashitaResearch Institute of Health Innovation, Graduate School of Medicine, Hirosaki University, Hirosaki, Aomori, Japan.
Ken ItohDepartment of Stress Response Science, Biomedical Research Center, Graduate School of Medicine, Hirosaki University, Hirosaki, Aomori, Japan.
Yoshinori TamadaDepartment of Medical Data Intelligence, Research Center for Health-Medical Data Science (RCoHMDS), Graduate School of Medicine, Hirosaki University, Hirosaki, Aomori, Japan.
Tatsuya MikamiDepartment of Preemptive Medicine, Innovation Center for Health Promotion, Graduate School of Medicine, Hirosaki University, Hirosaki, Aomori, Japan.
Shigeyuki NakajiDepartment of Preemptive Medicine, Innovation Center for Health Promotion, Graduate School of Medicine, Hirosaki University, Hirosaki, Aomori, Japan.
Chie FurutaInstitute of Food Sciences and Technologies, Ajinomoto Co., Inc., 1-1, Suzuki-cho, Kawasaki-ku, Kawasaki, Kanagawa, 210-8681, Japan. chie.furuta.cj3@asv.ajinomoto.com.

Funding

Japan Science and Technology Agency JPMJCE1302
6 · The paper itself

Abstract

The relationship between Subjective well-being (SWB) and other factors is complex. However, few studies have reported a complex relationship between SWB and other factors across domains. We aimed to explore and clarify the one-to-many relationships between SWB and various factors among Japanese adults aged 20-85 years, using graphical modeling and data from the Iwaki Health Promotion Project (IHPP). An undirected graph that included factors such as nutrient intake, eating behavior, mental and physical health, social situations, and SWB was created using data from 519 participants in the IHPP of 2021. The graph indicated that four variables such as "CES-D", "Enjoying the taste of foods", "Health considerations" and "Household financial stability" were directly related to SWB. Additionally, we divided the participants into subgroups based on gender, age, employment status, educational background, and marital status and performed modeling to evaluate the differences in the structure of the SWB based on these attributes. Each graph indicated that the variables directly linked to SWB differed for each subgroup. Therefore, the mechanisms of SWB differed depending on people's backgrounds. We believe that these findings will be useful in proposing policies for improving the SWB of the Japanese people.

Indexed as

East Asian PeoplePersonal SatisfactionAdultAgedAged, 80 and overCross-Sectional StudiesFeeding BehaviorFemaleHumansJapanMaleMental HealthMiddle AgedSurveys and QuestionnairesYoung AdultDietary habitsGraphical modelingJapaneseSubjective well-being

Identifiers

PMID40281000
PMCPMC12032136

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.