Evidence map›Paper›PMID 42247397›Full record

ArticlePloS one2026

Changes in tobacco sales before, during, and after the COVID-19 pandemic in Japan: An interrupted time series analysis.

Kanae Kondo, Ichizo Morita, Shigemitsu Sakuma, Isao Ohsawa

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Kanae KondoFaculty of Health Science, Aichi Gakuin University, Nisshin, Aichi, Japan.ORCID https://orcid.org/0009-0008-8107-8147
Ichizo MoritaJapanese Red Cross Toyota College of Nursing, Toyota, Aichi, Japan.
Shigemitsu SakumaDepartment of Fixed Prosthodontics and Oral Implantology, School of Dentistry, Aichi Gakuin University, Nagoya, Aichi, Japan.
Isao OhsawaFaculty of Health Science, Aichi Gakuin University, Nisshin, Aichi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to longitudinally examine nationwide changes in smoking behavior among the Japanese population in response to the COVID-19 pandemic. DESIGN AND

settingA secondary analysis was conducted using cigarette sales data from the Tobacco Institute of Japan, monthly tobacco expenditures from the Family Income and Expenditure Survey conducted by the Ministry of Internal Affairs and Communications, and smoking prevalences from the National Database of Open Data Japan. An interrupted time-series segmented regression model adjusted for seasonality and autocorrelation was used to examine changes in cigarette sales and monthly tobacco expenditures before and after the first declaration of a state of emergency.

participantsDepending on the data source, data from 2014 to 2022, from 2015 to 2025, or from 2015 to February 2026 were used. PRIMARY AND SECONDARY OUTCOME MEASURES: Changes in level and slope were evaluated before and after the first state of emergency and after COVID-19 was downgraded to a common infectious disease.

resultsCigarette sales declined at a significantly slower rate after the first state of emergency than before. Price-adjusted monthly tobacco expenditures increased significantly by 132 JPY compared with the previous month, although the expenditure findings were less robust in the quadratic sensitivity analysis. The smoking prevalence among men declined slightly each year, from 34.2% in 2014 to 31.9% in 2022. In contrast, the smoking prevalence among women remained relatively stable, ranging between 9.4% and 9.9%.

conclusionsAlthough cigarette sales declined more slowly and household tobacco expenditures increased during the first state of emergency in Japan, smoking prevalences did not change substantially. These findings suggest changes in tobacco purchasing patterns, including stockpiling, and possible changes in smoking intensity among continuing smokers, rather than a meaningful population-level decline in smoking behavior. There was no robust evidence of a clear reversal after May 2023.

Indexed as

CommerceCOVID-19SmokingTobacco ProductsFemaleHumansInterrupted Time Series AnalysisJapanMalePandemicsPrevalenceSARS-CoV-2

Identifiers

PMID42247397
PMCPMC13240920

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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.