Evidence map›Paper›PMID 28427361›Full record

ArticleBMC public health2017

Lifestyle-related factors that explain disaster-induced changes in socioeconomic status and poor subjective health: a cross-sectional study from the Fukushima health management survey.

Masato Nagai, Tetsuya Ohira, Wen Zhang, Hironori Nakano, Masaharu Maeda, Seiji Yasumura, Masafumi Abe, Fukushima Health Management Survey

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Impact of Evacuation on the Long-Term Trend of Metabolic Syndrome after the Great East Japan Earthquake.International journal of environmental research and public health · 2022
    Article
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  6. Article
  7. Social Capital, Income Loss, and Psychobehavioral Responses amid COVID-19: A Population-Based Analysis.International journal of environmental research and public health · 2020
    Article
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  9. Article
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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 1 institution in 1 country.

Masato NagaiRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, Fukushima, Japan. m-nagai@med.tohoku.ac.jp.ORCID 0000-0003-0818-3158
Tetsuya OhiraRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, Fukushima, Japan.
Wen ZhangDepartment of Epidemiology, Fukushima Medical University School of Medicine, Fukushima, Japan.
Hironori NakanoRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, Fukushima, Japan.
Masaharu MaedaRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, Fukushima, Japan.
Seiji YasumuraDepartment of Public Health, Fukushima Medical University School of Medicine, Fukushima, Japan.
Masafumi AbeRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, Fukushima, Japan.
Fukushima Health Management Survey
Fukushima Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocioeconomic status (SES) and lifestyle-related factors are determinants of subjective health. However, changes in SES are inevitable in times of natural disaster, while lifestyle-related factors remain modifiable. The aim of this study was to use a cross-sectional approach to examine lifestyle-related factors that may attenuate the negative impact of disaster-induced changes in SES on poor subjective health.

methodsWe analyzed 33,350 men and women aged 20-64 years who were living in evacuation zones due to the radiation accident in Fukushima, Japan. Disaster-induced changes in SES were defined by living arrangements and working conditions. Using Poisson regression analysis adjusted for confounders (model 1) and lifestyle-related factors as intermediate variables (model 2), we compared the prevalence ratios (PRs) of poor subjective health of participants who did not undergo disaster-induced changes in SES (did not become unemployed, income did not decrease, and living in relative's home/own home) with that of participants who did undergo disaster-induced changes in SES (became unemployed, decreased income, or lived in an evacuation shelter, temporary housing, or rental housing/apartment). We calculated the percentage of excess risks explained by lifestyle-related factors as follows: ((PR

resultsDisaster-induced changes in SES were significantly associated with poor subjective health. The PRs (95% CIs) among participants who underwent disaster-induced changes in SES were 2.02 (1.81-2.24) for men and 1.80 (1.65-1.97) for women. After adjusting for lifestyle-related factors, we found that the PRs in men and women were remarkably attenuated, decreasing to 1.56 (1.40-1.73) and 1.43 (1.31-1.55), respectively. Controlling for lifestyle-related factors resulted in PR attenuation by 45.1% (men) and 46.3% (women). Satisfaction of sleep and participation in recreation and community activity particularly contributed to this attenuation.

conclusionsWhile disaster-induced changes in SES are unavoidable, lifestyle-related factors have the potential to attenuate the impact of these changes on poor subjective health.

Indexed as

DisastersHealth StatusLife StyleSocial ClassAdultCross-Sectional StudiesFemaleFukushima Nuclear AccidentHealth SurveysHumansJapanMaleMiddle AgedPrevalenceYoung AdultDisasterLifestyleSocioeconomic statusSubjective health

Identifiers

PMID28427361
PMCPMC5397819
OpenAlexW2606447609

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.