Evidence map›Paper›PMID 33860112›Full record

ArticleTobacco prevention & cessation2021

Smoking and stress in the general population in Denmark.

Lone P Buhelt, Charlotta Pisinger, Anne H Andreasen

Abstract read
In one paragraph

Article in Tobacco prevention & cessation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

3 authors.

Lone P BuheltCenter for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark.
Charlotta PisingerCenter for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark.
Anne H AndreasenCenter for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe social pressure placed on smokers today might potentially lead to an increasing level of stress. We investigated if the proportion of persons with high stress level had increased over time more in smokers than in non-smokers.

methodsData were obtained from repeated cross-sectional surveys of The Capital Region Health Survey conducted in 2010, 2013 and 2017. Survey data were weighted for survey design and non-response, and linked to national register data. Cohens Perceived Stress Scale (PSS-10) score was used. Logistic regression analyses, based on 136608 citizens' self-reports, were adjusted for sex, age, education level, employment, and alcohol intake (and loneliness, in analysis investigating the associations between tobacco consumption and high stress level).

resultsA significantly higher proportion of citizens reported a high stress level in 2017 compared with 2010 and 2013 but there was not a greater increase in smokers than in non-smokers. Daily smoking men had 69% higher odds of reporting perceived high stress level and daily smoking women had 36% higher odds, than never smokers of the same sex. There was a significant trend between higher daily tobacco consumption and a higher proportion of smokers with high stress level.

conclusionsThe increase in high stress level over time occurred independently of smoking status. Daily smokers had the highest odds of perceived high stress level, and a higher daily tobacco consumption was associated with a higher proportion of smokers with high stress level. Smoking cessation programs should, to a higher degree, consider implementing stress-coping elements to prevent relapse.

Indexed as

Denmarkmental healthpopulation-basedpsychologicalsmokingstress

Identifiers

PMID33860112
PMCPMC8040741

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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.