Evidence map›Paper›PMID 39781296›Full record

ArticleJournal of rural medicine : JRM2025

The association between repeated specific health guidance during specific health checkups and mental health: a cross-sectional survey study in Japan.

Daisaku Nishimoto, Shimpei Kodama, Chiemi Nishimoto, Keiko Kubota, Asutsugu Kurono, Ikuko Nishio

Abstract read
In one paragraph

Article in Journal of rural medicine : JRM, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Daisaku NishimotoDepartment of Nursing, School of Health Sciences, Faculty of Medicine, Kagoshima University, Japan.
Shimpei KodamaDepartment of Nursing, School of Health Sciences, Faculty of Medicine, Kagoshima University, Japan.
Chiemi NishimotoJiaikai Izuro Imamura Hospital Medical Health Care Center, Japan.
Keiko KubotaJiaikai Izuro Imamura Hospital Medical Health Care Center, Japan.
Asutsugu KuronoSaiseikai Kagoshima Hospital Home Care Promotion Office, Japan.
Ikuko NishioDepartment of Nursing, School of Health Sciences, Faculty of Medicine, Kagoshima University, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Repeated guidance through specific health guidance (SHG), a service that provides health advice to high-risk individuals for specific health examinations, may be affected by examinees' mental health status. However, the association between repeated SHG sessions and mental health remains unclear. Materials and Methods: Data were collected from 123 men and women who underwent specific health checkups at Jiaikai Izuro Imamura Hospital between April 13, 2021 and April 13, 2022 after receiving SHG in the previous year. A questionnaire survey was conducted to assess burnout, resilience, and lifestyle-related factors such as weight change and the amount of alcohol consumed. Odds ratios (OR) and 95% confidence intervals (CI) for repeated SHG were estimated using stepwise multiple logistic and mediation analyses. Results: The results showed that repeated SHG was significantly associated with weight gain ≥10 kg from the age of 20 years (OR=4.41, 95% CI 1.74-11.20) and burnout subscale of cynicism (OR=4.18, 95% CI 1.31-13.33). Conclusion: Weight loss guidance could be an effective component of SHG. Additionally, individuals who are repeatedly provided with SHG experience a mental health burden. Furthermore, interventions to reduce cynicism may be necessary to prevent the need for repeated SHG.

Indexed as

burnoutpsychologicalresiliencytranstheoretical model

Identifiers

PMID39781296
PMCPMC11704601

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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.