Evidence map›Paper›PMID 39261024›Full record

ArticleJournal of atherosclerosis and thrombosis2025

Impact of Changes in Lifestyle and Psychological Factors on the Incidence of Metabolic Syndrome after the Great East Japan Earthquake: Follow-up of the Fukushima Health Management Survey.

Atsushi Takahashi, Fumikazu Hayashi, Tetsuya Ohira, Michio Shimabukuro, Akira Sakai, Masaharu Maeda, Mitsuaki Hosoya, Junichiro J Kazama, Koichi Hashimoto, Shiho Sato and 6 more

Abstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 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

16 authors.

Atsushi TakahashiDepartment of Gastroenterology, Fukushima Medical University School of Medicine.
Fumikazu HayashiRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University School of Medicine.
Tetsuya OhiraRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University School of Medicine.
Michio ShimabukuroRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University School of Medicine.
Akira SakaiRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University School of Medicine.
Masaharu MaedaRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University School of Medicine.
Mitsuaki HosoyaRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University School of Medicine.
Junichiro J KazamaRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University School of Medicine.
Koichi HashimotoRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University School of Medicine.
Shiho SatoRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University School of Medicine.
Hironori NakanoRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University School of Medicine.
Masanori NagaoRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University School of Medicine.
Kanako OkazakiRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University School of Medicine.
Hitoshi OhtoRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University School of Medicine.
Seiji YasumuraRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University School of Medicine.
Hiromasa OhiraDepartment of Gastroenterology, Fukushima Medical University School of Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe Fukushima Daiichi Nuclear Power Plant accident caused lifestyle changes and psychological distress in residents living near the plant. This study clarified the associations between changes in residents' lifestyles and psychological factors with the onset of metabolic syndrome (METs) after the accident.

methodsThis longitudinal study included 10,373 residents who underwent the Comprehensive Health Check and Mental Health and Lifestyle Survey in Fiscal Year (FY) 2013. Follow-up surveys were conducted between FY 2014 and FY 2017. Lifestyle changes and the METs incidence were evaluated using a logistic regression model.

resultsMETs developed in 14.0% of subjects. In addition to metabolic factors, such as the body mass index, hypertension, dyslipidemia, and diabetes mellitus, there were differences in physical activity, fast walking, eating fast, eating habits before bedtime, skipping breakfast, current smoking, and alcohol intake between subjects with and without new-onset METs. Eating fast, current smoking, and drinking alcohol were positively associated with new-onset METs, whereas starting physical activity and fast walking were inversely associated with new-onset METs.

conclusionsDisaster-related lifestyle changes, such as eating fast, starting to smoke, and continued alcohol intake, were risk factors for new-onset METs after the Fukushima Daiichi Nuclear Power Plant accident.

Indexed as

EarthquakesFukushima Nuclear AccidentLife StyleMetabolic SyndromeAdultAgedExerciseFemaleFollow-Up StudiesHealth SurveysHumansIncidenceJapanLongitudinal StudiesMaleMiddle AgedGreat East Japan EarthquakeLifestyleMetabolic syndrome

Identifiers

PMID39261024
PMCPMC11883212

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.