Evidence map›Paper›PMID 41393657›Full record

ArticleCureus2025

Assessment of the Representation of Civil Servants as the General Population in Terms of Health Checkup Data.

Yoshiharu Fukuda, Kumi Sugimoto, Haruka Nakagawa, Takuya Yamada

Abstract read
In one paragraph

Article in Cureus, 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

4 authors.

Yoshiharu FukudaGraduate School of Public Health, Teikyo University, Tokyo, JPN.
Kumi SugimotoGraduate School of Public Health, Teikyo University, Tokyo, JPN.
Haruka NakagawaGraduate School of Public Health, Teikyo University, Tokyo, JPN.
Takuya YamadaGraduate School of Public Health, Teikyo University, Tokyo, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLarge-scale datasets of government workers have been increasingly used to generate robust epidemiological evidence. However, it remains unclear whether this specific occupational group is representative of the general population in health-related data. This study aimed to examine whether health checkup data from government workers are representative of the general population.

methodsWe analyzed health checkup data from the Mutual Aid Association (MAA) for local government employees and from the National Database of Japan (NDB) across 46 prefectures. Sex-specific and age-adjusted prevalences (AAPs) of health examination abnormalities, medication use, and health behaviors were calculated for each prefecture. Correlation coefficients between the two populations were then determined to evaluate the similarity of regional patterns.

resultsAmong men, all health examination abnormalities were significantly less prevalent in MAA than in NDB. Among women, the prevalence was also lower in MAA than in NDB, except for HbA1c and liver dysfunction. The MAA population showed significantly lower medication use for hypertension and diabetes mellitus, but higher use for dyslipidemia. Unfavorable health behaviors such as smoking, weight gain, and habitual breakfast skipping were less common in MAA, whereas favorable behaviors such as regular exercise and physical activity were more frequent among men. Correlation coefficients of AAPs ranged from 0.36 to 0.88 for examination abnormalities, 0.21 to 0.80 for medication use, and 0.35 to 0.73 for health behaviors.

conclusionSignificant positive correlations were observed between MAA and NDB in the prevalence of health examination abnormalities and health behaviors, indicating that regional health patterns among government workers closely mirror those of the general population. These findings suggest that health data from government workers can serve as a valuable resource for assessing regional differences in population health in Japan.

Indexed as

civil servantsgeographic variationhealth checkupsnational database (ndb)real-world data (rwd)

Identifiers

PMID41393657
PMCPMC12700703

What OpenQuestion 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 OpenQuestion graph.