Evidence map›Paper›PMID 34831940›Full record

ArticleInternational journal of environmental research and public health2021

Behavioral Factors Associated with COVID-19 Risk: A Cross-Sectional Survey in Japan.

Sae Ochi, Mirai So, Sora Hashimoto, Kenzo Denda, Yoichi Sekizawa

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. District-Level Risk Factors for COVID-19 Incidence and Mortality in Nepal.International journal of environmental research and public health · 2022
    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

5 authors at 3 institutions in 1 country.

Sae OchiDepartment of Laboratory Medicine, The Jikei University School of Medicine, Tokyo 105-0003, Japan.ORCID 0000-0003-4133-3170
Mirai SoDepartment of Psychiatry, Tokyo Dental College, Tokyo 101-0061, Japan.
Sora HashimotoUnited Health Communication Co., Ltd., Tokyo 103-0006, Japan.
Kenzo DendaHiramatsu Memorial Hospital, Sapporo 064-8536, Japan.
Yoichi SekizawaResearch Department, Research Institute of Economy, Trade and Industry, Tokyo 100-8901, Japan.
Jikei University School of Medicine · JPResearch Institute of Economy, Trade and Industry · JPTokyo Dental College · JP

Funding

Research Institute of Disaster Science (IRIDeS), Tohoku University 20-06Research Institute of Economy, Trade and Industry No grant number
6 · The paper itself

Abstract

backgroundBehaviors to avoid infection are key to minimizing casualties of the COVID-19 pandemic, as well as to avoid excessive interventions that are less effective. This study aims to identify behavioral patterns associated with SARS-CoV-2 infection in the real world.

methodsA questionnaire-based cross-sectional study was conducted targeting a research panel of NTTCom Online Marketing Solutions Corporation or its affiliates. Data were extracted so that their demographic composition ratios matched the population estimates. Individuals who answered with consistency to have been diagnosed with SARS-CoV-2 at a medical facility were categorized into a SARS-CoV-2 group. Differences in lifestyles were compared using multiple regression and inverse probability weighing.

resultsIn total 13,277 participants were included, of whom 44 (0.33%) were categorized as the SARS-CoV-2 group. Diagnosis of SARS-CoV-2 was negatively correlated with crowd avoidance, mask wearing, and hand-washing behavior. On the contrary, the diagnosis was positively correlated with some behaviors that appear to be preventive actions against the infection, such as changing clothes frequently, sanitizing belongings, and remote working.

conclusionsIt is important to conduct evidence-based intervention on people's behaviors and to avoid excessive interventions that are less effective, so that people can minimize the indirect harm, such as exhaustion and economic loss.

Indexed as

COVID-19Cross-Sectional StudiesHumansJapanPandemicsSARS-CoV-2behavioral changeCOVID-19exerciseremote workSARS-CoV-2

Identifiers

PMID34831940
PMCPMC8625679
OpenAlexW3215533070

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.