Evidence map›Paper›PMID 32429386›Full record

ArticleInternational journal of environmental research and public health2020

Analysis of Necessary Support in the 2011 Great East Japan Earthquake Disaster Area.

Moeka Harada, Kazuko Ishikawa-Takata, Nobuyo Tsuboyama-Kasaoka

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Introduction to the Special Issue on Cascading Disaster Modelling and Prevention.International journal of environmental research and public health · 2021
    Article
  2. Article
  3. Observational
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

3 authors.

Moeka HaradaSection of Global Disaster Nutrition, International Center for Nutrition and Information, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo 162-8636, Japan.
Kazuko Ishikawa-TakataDivision of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo 162-8636, Japan.ORCID 0000-0003-2995-2956
Nobuyo Tsuboyama-KasaokaSection of Global Disaster Nutrition, International Center for Nutrition and Information, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo 162-8636, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Altogether, 1588 dietitians were dispatched from the Japan Dietetic Association (JDA) to a disaster area for the first time on a nationwide scale following the 2011 Great East Japan Earthquake. Various studies have been conducted based on the activity reports, but the support that the disaster area requested was not documented. The purpose of this study is to identify the support that was needed in the disaster area. Therefore, we investigated the necessary support desired by dietitians who lived in the disaster areas. Questionnaires were sent to 1911 dietitians who were members of the JDA and lived in 3 affected prefectures in August 2012. In total, 435 dietitians (22.8%) completed the questionnaire. Among the questions on the questionnaire, we analyzed answers to the open-ended question: "Please write freely about the support that you wanted at the time of the disaster" (

Indexed as

Disaster PlanningEarthquakesNutritionistsDisastersFemaleHumansJapanMaleSurveys and Questionnairesdietitiandisasterfoodhealthnutrition

Identifiers

PMID32429386
PMCPMC7277228

What OpenQuestion holds

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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.