Evidence map›Paper›PMID 35954851›Full record

ArticleInternational journal of environmental research and public health2022

Impact of Evacuation on the Long-Term Trend of Metabolic Syndrome after the Great East Japan Earthquake.

Eri Eguchi, Narumi Funakubo, Hironori Nakano, Satoshi Tsuboi, Minako Kinuta, Hironori Imano, Hiroyasu Iso, Tetsuya Ohira

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 4 institutions in 1 country.

Eri EguchiDepartment of Epidemiology, Fukushima Medical University School of Medicine, Fukushima 960-1295, Japan.ORCID 0000-0002-1598-1847
Narumi FunakuboDepartment of Epidemiology, Fukushima Medical University School of Medicine, Fukushima 960-1295, Japan.ORCID 0000-0003-3729-6717
Hironori NakanoDepartment of Epidemiology, Fukushima Medical University School of Medicine, Fukushima 960-1295, Japan.ORCID 0000-0002-3783-2914
Satoshi TsuboiDepartment of Epidemiology, Fukushima Medical University School of Medicine, Fukushima 960-1295, Japan.ORCID 0000-0003-3164-0222
Minako KinutaDepartment of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama 700-8558, Japan.
Hironori ImanoPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita 565-0871, Japan.
Hiroyasu IsoPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita 565-0871, Japan.ORCID 0000-0002-9241-7289
Tetsuya OhiraDepartment of Epidemiology, Fukushima Medical University School of Medicine, Fukushima 960-1295, Japan.ORCID 0000-0003-4532-7165
Fukushima Medical University · JPKindai University · JPNational Center for Global Health and Medicine · JPOkayama University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been an increase in lifestyle-related diseases in Fukushima Prefecture since the Great East Japan Earthquake. However, the overall long-term trends of lifestyle-related diseases in the Fukushima Prefecture according to the evacuation and other area are not reported. Therefore, we examined the long-term trends in the prevalence of metabolic syndrome before and after the Great East Japan Earthquake in Fukushima Prefecture according to these areas using a national database. The target population was approximately 330,000-440,000 per year; Fukushima Prefecture residents aged 40-74 years who underwent specific health check-ups during 2008-2017 participated in the study. Fukushima was divided into mountainous, central, coastal and evacuation areas. Using the Poisson regression model, the prevalence of metabolic syndrome in each fiscal year was determined by gender and age group for each location and compared before and after the disaster as well as between areas. Prevalence increased significantly throughout the observation period, particularly in the evacuation area. Age- and gender-adjusted prevalence rates significantly increased from 16.2% in 2010 to 19.5% in 2012 (prevalence ratios = 1.21) and 20.4% in 2017 in the evacuation area. Among other areas, coastal areas showed the highest increase with 17.9% (2017), followed by central areas with 16.5% (2017) and mountainous areas with 18.3% (2016). These increases were particularly high among men and the elderly. The prevalence of metabolic syndrome increased rapidly after the disaster, especially in evacuation area, and continued for subsequent 6-7 year. Long-term monitoring and measures to prevent lifestyle-related diseases are needed after major disasters, especially in evacuation areas, among men and the elderly.

Indexed as

DisastersEarthquakesFukushima Nuclear AccidentMetabolic SyndromeAgedHumansJapanMaledisasterevacuationFukushimaGreat East Japan Earthquakemetabolic syndromenational database

Identifiers

PMID35954851
PMCPMC9368087
OpenAlexW4289518600

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.