Evidence map›Paper›PMID 35079660›Full record

ArticleComputers in human behavior reports2022

Changes in the use of mobile devices during the crisis: Immediate response to the COVID-19 pandemic.

Sotaro Katsumata, Takeyasu Ichikohji, Satoshi Nakano, Shinichi Yamaguchi, Fumihiko Ikuine

Abstract read
In one paragraph

Article in Computers in human behavior reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  12. Mobile Device Usage before and during the COVID-19 Pandemic among Rural and Urban Adults.International journal of environmental research and public health · 2022
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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

5 authors.

Sotaro KatsumataGraduate School of Economics, Osaka University, 1-7 Machikaneyama, Toyonaka, Osaka, 5650824, Japan.
Takeyasu IchikohjiGraduate School of Economics, Tohoku University, Japan.
Satoshi NakanoINTAGE, Inc, Japan.
Shinichi YamaguchiCenter for Global Communications, International University of Japan, Japan.
Fumihiko IkuineChuo Graduate School of Strategic Management, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We analyze the smartphone usage behavior of individuals against the background of the spread of the coronavirus disease (COVID-19) to classify usage behaviors and examine the factors that lead to change. Specifically, we examine the differences in smartphone usage between the first wave and the second wave of the epidemic in Japan. On average, the frequency of use increased, especially during the first wave of the epidemic. Next, we classify the changes in usage behavior and examine the differences between individuals whose smartphone usage time increased and those whose usage time decreased. Our analysis using personal characteristics as explanatory variables suggests that demographic variables may explain behavioral changes. We were able to classify the factors into three categories: positive factors that promote an increase in usage time, negative factors that promote a decrease, and variation factors that promote fluctuations.

Indexed as

Consumer behaviorCOVID-19DisastersMobile apps

Identifiers

PMID35079660
PMCPMC8769530

What OpenQuestion holds

Textmetadata
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.