Evidence map›Paper›PMID 34599638›Full record

ArticleJournal of occupational health2021

Association of teleworking and smoking behavior of U.S. wage and salary workers.

Nigar Nargis, Qing Li, Lauren Griffin, Samuel Asare, Priti Bandi, Anuja Majmundar, J Lee Westmaas, Ahmedin Jemal

Abstract read
In one paragraph

Article in Journal of occupational 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
–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

4 citing papers in PubMed.

  1. Article
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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

8 authors.

Nigar NargisAmerican Cancer Society, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0003-4501-1398
Qing LiAmerican Cancer Society, Atlanta, Georgia, USA.
Lauren GriffinEmory University, Atlanta, Georgia, USA.
Samuel AsareAmerican Cancer Society, Atlanta, Georgia, USA.
Priti BandiAmerican Cancer Society, Atlanta, Georgia, USA.
Anuja MajmundarAmerican Cancer Society, Atlanta, Georgia, USA.
J Lee WestmaasAmerican Cancer Society, Atlanta, Georgia, USA.
Ahmedin JemalAmerican Cancer Society, Atlanta, Georgia, USA.

Funding

Emory University
6 · The paper itself

Abstract

introductionThe COVID-19 pandemic has led to a major shift in workspace from office to home. This report examined how telecommuting is related to smoking behavior of wage and salary workers.

methodsSelf-reported smoking behavior of 1,390 U.S. wage and salary workers aged 16-64 years from the Tobacco Use Supplement of the Current Population Survey 2018/19 were linked to the 2018 American Time Use Survey. Weighted multivariate logistic regression predicting smoking probability and generalized linear regression predicting smoking intensity were used for analysis.

resultsAlmost a fifth (19%) of wage and salary workers reported working from home and over a half (52%) reported working in telecommuting amenable occupations. Nearly 12% were current smokers, smoking 14.7 cigarettes daily on average. Compared to their counterparts, smoking prevalence (percentage points) was lower among those employed in telecommuting amenable occupations (-0.52, p < .001 for all; 0.01, p = .862 for men; -2.40, p < .001 for women) and who worked more frequently from home (-0.21, p < .001 for all; -0.76, p < .001 for men; -0.03, p = .045 for women). Smoking intensity (cigarettes per day) was lower among those employed in telecommuting amenable occupations (-3.39, p = .03 for all; -0.36, p = .90 for men; -4.30, p = .21 for women). We found no statistically significant association between smoking intensity and telecommuting frequency.

conclusionsThe lower likelihood of smoking and lower level of smoking intensity among telecommuting wage and salary workers suggests the need for proactive efforts to address the potential exacerbation in occupation-related smoking disparities between occupations that are and are not amenable to telecommuting.

Indexed as

AdolescentAdultCOVID-19FemaleHumansMaleMiddle AgedOccupationsPandemicsPrevalenceSARS-CoV-2SmokingTeleworkingUnited StatesYoung AdultCOVID-19 pandemicsmoking intensitysmoking prevalencetelecommuting

Identifiers

PMID34599638
PMCPMC8487165

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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.