Evidence map›Paper›PMID 41367069›Full record

ArticleJournal of research in health sciences2026

Factors Associated with Smoking Cessation in Underdeveloped Areas of Indonesia.

Muhamad Arif Musoddaq, Dwi Hapsari Tjandrarini, Felly Philipus Senewe, Alfons Maryono Letelay, Hadi Ashar, Budi Setyawati, Ning Sulistiyowati, Maxwell Landri Vers Malakauseya, Christiana Rialine Titaley

Abstract read
In one paragraph

Article in Journal of research in health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Muhamad Arif MusoddaqNational Research and Innovation Agency, Republic of Indonesia, Bogor, West Java, Indonesia.ORCID 0000-0002-8915-107X
Dwi Hapsari TjandrariniNational Research and Innovation Agency, Republic of Indonesia, Bogor, West Java, Indonesia.ORCID 0000-0001-8313-4722
Felly Philipus SeneweNational Research and Innovation Agency, Republic of Indonesia, Bogor, West Java, Indonesia.ORCID 0000-0002-5765-7172
Alfons Maryono LetelayNational Research and Innovation Agency, Republic of Indonesia, Bogor, West Java, Indonesia.ORCID 0000-0001-6773-5026
Hadi AsharNational Research and Innovation Agency, Republic of Indonesia, Bogor, West Java, Indonesia.ORCID 0000-0001-8123-5925
Budi SetyawatiNational Research and Innovation Agency, Republic of Indonesia, Bogor, West Java, Indonesia.ORCID 0009-0000-2966-1863
Ning SulistiyowatiNational Research and Innovation Agency, Republic of Indonesia, Bogor, West Java, Indonesia.ORCID 0009-0004-7631-699X
Maxwell Landri Vers MalakauseyaFaculty of Medicine, Universitas Pattimura, Ambon, Maluku, Indonesia.ORCID 0000-0003-1388-6798
Christiana Rialine TitaleyDepartment of Public Health, Faculty of Medicine, Universitas Pattimura, Ambon, Maluku, Indonesia.ORCID 0000-0002-3023-003X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndonesia has one of the highest smoking rates globally. Smoking cessation is critical for reducing smoking-related diseases, particularly in areas with limited healthcare access. This study explored factors associated with smoking cessation in underdeveloped areas of Indonesia.

methodsData were obtained from the 2018 Indonesia Basic Health Research survey. We used information from 16,989 ever-smokers aged 10 years or older living in underdeveloped areas of Indonesia. Binary logistic regression analyses were performed to identify factors associated with smoking cessation.

resultsOverall, 8.1% of ever-smokers in underdeveloped areas of Indonesia had stopped smoking cigarettes at the time of the survey. Increased odds of smoking cessation were were observed among respondents living in urban areas (aOR=1.50, 95% CI: 1.13-2.00), females (aOR=2.59, 95% CI: 1.85-3.62), aged over 45 years (aOR=2.60, 95% CI: 2.13-3.17), the unemployed or students (aOR=1.60, 95% CI: 1.24-2.01), and heads of households (aOR=1.84, 95% CI: 1.45-2.32). Non-daily smokers (aOR=6.84, 95% CI: 5.68-8.24) and those who started smoking before age 18 (aOR=1.34, 95% CI: 1.10-1.62) were more likely to have quit smoking.

conclusionPublic health interventions should focus on supporting younger populations, informal workers, and daily smokers in rural areas to improve cessation rates.

Indexed as

SmokingSmoking CessationAdolescentAdultAgedAge FactorsChildCross-Sectional StudiesFemaleHealth SurveysHumansIndonesiaMaleMiddle AgedRural PopulationSex FactorsCigarette smokingIndonesiaRisk factorsSmoking cessation

Identifiers

PMID41367069
PMCPMC12681055

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LicenceCC BY
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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.