Evidence map›Paper›PMID 24287123›Full record

ArticlePreventive medicine2014

Association between being employed in a smoke-free workplace and living in a smoke-free home: evidence from 15 low and middle income countries.

Gaurang P Nazar, John Tayu Lee, Stanton A Glantz, Monika Arora, Neil Pearce, Christopher Millett

Abstract readMulticenter Study
In one paragraph

Article in Preventive medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Smoke-free workplaces are associated with smoke-free homes in India: evidence for action.Environmental science and pollution research international · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Smoke-free legislation and child health.NPJ primary care respiratory medicine · 2016
    Review
  15. Socioeconomic Inequalities in Secondhand Smoke Exposure at Home and at Work in 15 Low- and Middle-Income Countries.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2016
    Article
  16. Article
  17. Article
  18. Article
  19. Prevalence and determinants of secondhand smoke exposure among women in Bangladesh, 2011.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2015
    Article
  20. 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

6 authors.

Gaurang P NazarPublic Health Foundation of India (PHFI), New Delhi, India; London School of Hygiene & Tropical Medicine (LSHTM), UK. Electronic address: gaurang.nazar@ext.phfi.org.
John Tayu LeeImperial College London, UK.
Stanton A GlantzUniversity of California San Francisco (UCSF), USA.
Monika AroraPublic Health Foundation of India (PHFI), New Delhi, India.
Neil PearceLondon School of Hygiene & Tropical Medicine (LSHTM), UK.
Christopher MillettImperial College London, UK; South Asia Network for Chronic Diseases (SANCD), New Delhi, India.

Funding

TOBACCO ADVOCACY AT THE STATE LEVELR01CA061021 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GLANTZ, STANTON ARNOLD · 1994 to 2015
$7.4M
Interdisciplinary research training: NCD epidemiology and prevention in IndiaD43HD065249 · NICHD · CENTRE FOR CHRONIC DISEASE CONTROL · PI NARAYAN, KABAYAM M VENKAT, TANDON, NIKHIL · 2009 to 2013
$1.2M
NCI NIH HHS R01 CA061021NICHD NIH HHS 1 D43 HD065249NICHD NIH HHS D43 HD065249Wellcome Trust 084754
6 · The paper itself

Abstract

objectiveTo assess whether being employed in a smoke-free workplace is associated with living in a smoke-free home in 15 low and middle income countries (LMICs).

methodsCountry-specific individual level analyses of cross-sectional Global Adult Tobacco Survey data (2008-2011) from 15 LMICs was conducted using multiple logistic regression. The dependent variable was living in a smoke-free home; the independent variable was being employed in a smoke-free workplace. Analyses were adjusted for age, gender, residence, region, education, occupation, current smoking, current smokeless tobacco use and number of household members. Individual country results were combined in a random effects meta-analysis.

resultsIn each country, the percentage of participants employed in a smoke-free workplace who reported living in a smoke-free home was higher than those employed in a workplace not smoke-free. The adjusted odds ratios (AORs) of living in a smoke-free home among participants employed in a smoke-free workplace (vs. those employed where smoking occurred) were statistically significant in 13 of the 15 countries, ranging from 1.12 [95% CI 0.79-1.58] in Uruguay to 2.29 [1.37-3.83] in China. The pooled AOR was 1.61 [1.46-1.79].

conclusionIn LMICs, employment in a smoke-free workplace is associated with living in a smoke-free home. Accelerated implementation of comprehensive smoke-free policies is likely to result in substantial population health benefits in these settings.

Indexed as

AdolescentAdultCluster AnalysisCross-Sectional StudiesDeveloping CountriesEmploymentFemaleHumansLogistic ModelsMaleMiddle AgedOdds RatioResidence CharacteristicsSmokingSmoking CessationTobacco, SmokelessTobacco Smoke PollutionGATSLow- and middle-income countriesSecondhand smokeSmoke-free policyTobaccoWorkplace

Identifiers

PMID24287123
PMCPMC3898883

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.