Evidence map›Paper›PMID 28827869›Full record

ArticleIndian journal of psychiatry

Predictors of intention to quit tobacco among construction site workers in Delhi, India.

Mamta Parashar, Mitasha Singh, Rashmi Agarwalla, Meely Panda, Rambha Pathak

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
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

6 citing papers in PubMed, 13 citations in OpenAlex.

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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 at 1 institution in 1 country.

Mamta ParasharDepartment of Community Medicine, Hamdard Institute of Medical Sciences and Research, Jamia Hamdard University, New Delhi, India.
Mitasha SinghDepartment of Community Medicine, Hamdard Institute of Medical Sciences and Research, Jamia Hamdard University, New Delhi, India.
Rashmi AgarwallaDepartment of Community Medicine, Hamdard Institute of Medical Sciences and Research, Jamia Hamdard University, New Delhi, India.
Meely PandaDepartment of Community Medicine, Hamdard Institute of Medical Sciences and Research, Jamia Hamdard University, New Delhi, India.
Rambha PathakDepartment of Community Medicine, Hamdard Institute of Medical Sciences and Research, Jamia Hamdard University, New Delhi, India.
Jamia Hamdard · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInformation on predictors of quitting behavior among construction site tobacco users is scarce in India. Hence, this study was conducted to assess the intention of tobacco users toward quitting and its predictors with reference to sociodemographic profile. METHODOLOGY: A community-based, observational study was conducted on adult 172 construction site workers in a university campus of Delhi. Data were collected by an interview using the WHO-adopted, pretested, semi-structured questionnaire. Chi-square test was used for univariate analysis. Pearson's correlation coefficient and multivariate logistic regression model were used to identify the predictors.

resultsOf the 172 users, 73% had intention to quit. More than half of smokers (56.5%) and 81% of smokeless tobacco users intended to quit. Majority of the tobacco users who intended to quit were literate (75.0%), started tobacco use >15 years of age (75.4%), occasional tobacco users (78.9%), and less dependent on nicotine (74.4%).

conclusionsSuitable plan for quitting keeping in mind this vulnerable group of workers should be developed depending on the literacy, type of tobacco used, and nicotine dependency.

Indexed as

Construction workersintention to quittobacco

Identifiers

PMID28827869
PMCPMC5547863
OpenAlexW2738183861

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.