Evidence map›Paper›PMID 41652517›Full record

ArticleJournal of health, population, and nutrition2026

Sociodemographic determinants of smoking among Jordanian men : insights from the 2023 demographic and health survey.

Amr Ahmed Aly Ibrahim, Sara Hosny El-Farargy, Nour Eldein Saad, Mohamed Yasser Elnaggar, Omar Abbas, Ahmed Mohamed Shahin, Karim Samir Attia, Mahmoud Shaaban Abdelgalil

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Article in Journal of health, population, and nutrition, 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Amr Ahmed Aly IbrahimFaculty of Medicine, Menoufia University, Menoufia, Egypt.ORCID 0009-0008-0439-447X
Sara Hosny El-FarargyFaculty of Medicine, Benha University, Benha, Egypt.ORCID 0000-0002-3691-7772
Nour Eldein SaadFaculty of Medicine, Alexandria University, Alexandria, Egypt.ORCID 0000-0001-5200-6138
Mohamed Yasser ElnaggarFaculty of Medicine, Mansoura University, Mansoura, Egypt.ORCID 0009-0009-9047-7403
Omar AbbasFaculty of Medicine, Ain-shams University, Cairo, Egypt.ORCID 0009-0007-2056-665X
Ahmed Mohamed ShahinFaculty of Medicine, Menoufia University, Menoufia, Egypt.
Karim Samir AttiaFaculty of Medicine, Ain-shams University, Cairo, Egypt.ORCID 0009-0008-1637-9779
Mahmoud Shaaban AbdelgalilFaculty of Medicine, Ain-shams University, Cairo, Egypt. 29908068800596@med.asu.edu.eg.ORCID 0000-0002-7325-0129

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmoking remains a leading cause of preventable morbidity and mortality globally, with significant public health and economic implications. In Jordan, smoking prevalence among men is alarmingly high, necessitating a deeper understanding of its determinants. This study aims to identify sociodemographic factors influencing smoking behavior among Jordanian men aged 15-59 years using nationally representative data.

methodsThe study utilized data from the 2023 Jordan Population and Family Health Survey (JPFHS) to analyze sociodemographic factors influencing smoking behavior. Descriptive statistics and binary logistic regression analyses were performed. Associations were assessed using adjusted odds ratios (AORs) and 95% confidence intervals (CIs), with statistical significance set at p < 0.05.

resultsOur study included 5,873 Jordanian men, with 3,072 (52.30%) classified as non-smokers, 2,615 (44.52%) as everyday smokers, and 186 (3.17%) as someday smokers. Multivariable analysis revealed several factors significantly associated with higher odds of smoking, including increasing age, working in agriculture, services, and skilled manual occupations, being widowed, residing in Zarqa, being in the poorest or richest wealth categories, and using the internet at least once a week or almost every day (p < 0.05). On the other hand, living in Tafiela and reading newspapers or magazines at least once a week were significantly associated with lower odds of smoking (p < 0.05).

conclusionOur study identified several sociodemographic factors significantly associated with smoking among Jordanian men, including older age, working in agriculture or skilled manual labor, widowhood, residence in Zarqa, extreme wealth levels, and frequent internet use. In contrast, newspaper readership and residence in Tafiela were protective. These findings highlight the importance of targeted public health interventions aimed at high-risk groups and strengthening tobacco control efforts across the country.

Indexed as

SmokingSociodemographic FactorsAdolescentAdultDemographyHealth SurveysHumansJordanMaleMiddle AgedPrevalenceSocioeconomic FactorsYoung AdultDemographic and health survey.Ever-married menJordanSmoking behaviorSociodemographic factors

Identifiers

PMID41652517
PMCPMC12930662

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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.