Evidence map›Paper›PMID 39684965›Full record

ArticleHealthcare (Basel, Switzerland)2024

Predicting Smoking Cessation Stages: An Insight from the Transtheoretical Model Using a Cross-Sectional Approach Among Adults in Saudi Arabia.

Samiha Hamdi Sayed, Olfat Abdulgafoor Gushgari, Wafaa Taha Ibrahim Elgzar

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Samiha Hamdi SayedPublic Health Department, College of Health Sciences, Saudi Electronic University, Riyadh 11673, Saudi Arabia.ORCID 0000-0002-0556-5778
Olfat Abdulgafoor GushgariPublic Health Department, College of Health Sciences, Saudi Electronic University, Riyadh 11673, Saudi Arabia.
Wafaa Taha Ibrahim ElgzarDepartment of Maternity and Childhood Nursing, Nursing College, Najran University, Najran 61441, Saudi Arabia.

Funding

the Deanship of Scientific Research at Saudi Electronic University for funding this research (8233)
6 · The paper itself

Abstract

backgroundSmoking is a detrimental health behavior that can be addressed by designing stage-matched interventions with evidence-based behavioral change models such as the transtheoretical model (TTM). This study applied the TTM to predict smoking cessation stages among adults in Saudi Arabia.

methodsThis social media-based cross-sectional study in Saudi Arabia used a convenient sample of 491 adult smokers (men and women). A digital questionnaire containing basic and smoking-related data and smoking scales (stages of change, cessation readiness, decisional balance, and self-efficacy) was used for data collection. The data were collected from 1 July to 30 October 2023 and were investigated using an ordinal regression analysis. The results illustrate that among the studied smokers, cigarette smoking was the prevalent method of smoking, especially among men (71.7%) compared to women (27.8%). Regarding stages of smoking, the pre-contemplation (35.8%) and contemplation (30.1%) stages were the highest, where men were more represented in both stages (37.9% and 40.8%, respectively). In comparison, women represented a higher percentage in the action (23.9%) and maintenance (21.1%) stages. The ordinal regression showed that increasing age (adjusted odds ratio; AOR = 1.045,

conclusionsCigarette smoking is a prevalent problem among Saudi adults, especially men, with the highest percentage of these being at lower smoking cessation stages. Thus, this study recommends the development of stage-matched interventions to facilitate the move towards higher smoking cessation stages through efforts by, and collaboration between, community sectors to face this rising issue.

Indexed as

adultsSaudi Arabiasmokingtranstheoretical model

Identifiers

PMID39684965
PMCPMC11641517

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.