Evidence map›Paper›PMID 37560398›Full record

ArticleAddiction & health2023

Predictive Factors of Stages of Change in Hookah Smoking Cessation Among Iranian Adults Based on the Transtheoretical Model.

Adel Moqaddas, Mahnoush Reisi, Marzieh Mahmoodi, Homamodin Javadzade

Abstract read
In one paragraph

Article in Addiction & health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 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

4 authors.

Adel MoqaddasDepartment of Health Education and Health Promotion, Faculty of Health, Bushehr University of Medical Sciences, Bushehr, Iran.ORCID https://orcid.org/0009-0009-3023-280X
Mahnoush ReisiDepartment of Health Education and Health Promotion, Faculty of Health, Bushehr University of Medical Sciences, Bushehr, Iran.ORCID https://orcid.org/0000-0001-9677-6396
Marzieh MahmoodiDepartment of Epidemiology and Biostatistics, Faculty of Health, Bushehr University of Medical Sciences, Bushehr, Iran.ORCID https://orcid.org/0000-0003-4273-6086
Homamodin JavadzadeDepartment of Health Education and Health Promotion, Bushehr University of Medical Sciences, Bushehr, Iran.ORCID https://orcid.org/0000-0001-6083-4806

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hookah, as a traditional method of smoking, is widely used in Iran, especially in Bushehr province. It is essential to identify the most important determinants of modifying hookah smoking behavior. This study aimed to investigate the predictors of the stages of change in quitting hookah smoking in 15-60-year-old individuals in Bushehr province, southern Iran, based on the transtheoretical model (TTM). Methods: This descriptive-analytical study was conducted on 1173 Hookah smokers in Bushehr province. The samples were selected by two-stage random sampling from 10 cities. Data were collected using a valid and reliable questionnaire consisting of 5 sections (demographic characteristics, stages of change, processes of change, decisional balance, and self-efficacy). Data were analyzed by R version.3.3.1 using analysis of variance and ordinal logistic regression at a significant level of 0.05. Findings: The data revealed 82% of the participants were in the preparatory phase (55.3% in pre-contemplation and 26.7% in contemplation stages). Marital status, family members smoking hookah, cigarette smoking, level of education, number of family members, number of quitting attempts, self-efficacy, self-reevaluation, counter-conditioning, reinforcement management, and stimulus control were predictors of quitting hookah smoking. Conclusion: Given that most study participants were in the inactive stages of quitting hookah smoking, it seems necessary to design and implement behavioral interventions based on the predictive TTM constructs in this population.

Indexed as

HookahPredictive factorsStage of changeTranstheoretical model

Identifiers

PMID37560398
PMCPMC10408760

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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.