Prevalence and intensity of cigarette smoking in Iranian households: measurement of socioeconomic inequality

Safari‐Faramani, Roya; Dizaj, Jafar Yahyavi; Amini, Saeed; Parvari, Arash; Irandost, Kamran; Arefi, Zohreh; Kazem-Karyani, Ali

doi:10.1080/14659891.2023.2183906

Cited by 2 publications

(1 citation statement)

References 48 publications

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“…This is because the marginal impact of these variables is likely higher in the Western Pacific region compared to other regions. According to previous studies, tobacco smoking is the leading cause of death from non-communicable diseases and the second leading risk factor for early death and disability worldwide [ 26 , 27 ].…”

Section: Discussionmentioning

confidence: 99%

Assessing health determinants worldwide: Econometric analysis of the Global Burden of Diseases Study 2000–18 – Highlighting impactful factors on DALY, YLL, and YLD indicators

Irandoust,

Daroudi,

Tajvar

et al. 2024

J Glob Health

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Background As the health status of a population is influenced by a variety of health determinants, we sought to assess their impact on health outcomes, both at the global and regional levels. Methods This ecological study encompassed all 194 member countries of the World Health Organization (WHO) from 2000 to 2018. We first identified all health determinants and then retrieved the related data from various global databases. We additionally considered three indicators – disability-adjusted life years (DALYs), years of life lost (YLL), and years lived with disability (YLD) – in evaluating health outcomes; we extracted their data from the Global Burden of Disease (GBD) 2019 study. We then applied econometric analyses using a multilevel mixed-effects linear regression model. Results The analysis using the DALY indicator showed that the variables of sexually transmitted infections, injuries prevalence, and urbanisation had the highest effect size or regression coefficients ( β ) for health outcomes. The variables of sexually transmitted infection ( β = 0.75, P < 0.001) in the African region; drinking water ( β = −0.60, P < 0.001), alcohol use ( β = 0.20, P < 0.001), and drug use ( β = 0.05, P = 0.036) in the Americas region; urbanisation ( β = −0.34, P < 0.001) in the Eastern Mediterranean region; current health expenditure ( β = −0.21, P < 0.001) in the Europe region; injuries ( β = 0.65, P < 0.001), air pollution ( β = 0.29, P < 0.001), and obesity ( β = 0.92, P < 0.001) in the South-East Asia region; and gross domestic product ( β = −0.25, P < 0.001), education ( β = −0.90, P < 0.001), and smoking ( β = 0.28, P < 0.001) in the Western Pacific region had the most significant role in explaining global health outcomes. Except for the drug use variable in regional findings, the role of other variables in explaining the YLL indicator was greater than that of the YLD indicator. Conclusions To address global health disparities and optimise resource allocation, global and interregional policymakers should focus on determinants that had the highest β with health outcomes in each region compared to other regions. These determinants likely have a higher marginal health product, and investing in them is likely to be more cost-effective...

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Section: Discussionmentioning

confidence: 99%

Assessing health determinants worldwide: Econometric analysis of the Global Burden of Diseases Study 2000–18 – Highlighting impactful factors on DALY, YLL, and YLD indicators

Irandoust,

Daroudi,

Tajvar

et al. 2024

J Glob Health

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Analysis of Factors Influencing Individuals' Probability of Smoking in Turkey: A Random-Effects Ordered Probit Model

URAK

2023

Akademik Ziraat Dergisi

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Amaç: Bu çalışma, ailelerin veya aile bireylerinin sosyo-demografik ve ekonomik özellikleri ile sigara tüketme olasılığı arasındaki ilişkiyi anlamayı amaçlamıştır. Materyal ve Yöntem: Analizde, Türkiye İstatistik Kurumu (TÜİK) tarafından oluşturulan 2019 Türkiye Sağlık Araştırmasından (TSA) elde edilen 8166 hane ve 17000 bireyin verisi kullanılmıştır. Öncelikle ailelerin veya bireylerin sigara içmelerini etkileyen faktörler belirlenmiş, daha sonra bu faktörlerin marjinal etkileri rasgele-etki sıralı probit modeli kullanılarak hesaplanmış ve yorumlanmıştır. Araştırma Bulguları: Araştırmada aile üyeleri veya ailelerden, düşük eğitime sahip olanların, erkeklerin, fiziksel güç gerektiren mesleklerde çalışanların ile orta ve yüksek gelire sahip olanların sigara tüketimine daha fazla yatkın oldukları tespit edilmiştir. Günlük yürüyüş pratiği, sigara tüketimini sınırlamaya yönelik olumlu bir etki taşımakla birlikte, günde bir veya daha fazla paket sigara tüketme olasılığını 2.83 puan düşürme eğilimi sergilemektedir. Sonuç: Karar vericiler, tüm paydaşlarla işbirliği içinde, ekonomik seviyeleri, eğitim düzeyleri, coğrafi bölgeler ve sosyoekonomik durumları fark etmeksizin tüm bireyleri hedefleyen özel bir sigara kontrolü stratejisi oluşturabilirler.

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Prevalence and intensity of cigarette smoking in Iranian households: measurement of socioeconomic inequality

Cited by 2 publications

References 48 publications

Assessing health determinants worldwide: Econometric analysis of the Global Burden of Diseases Study 2000–18 – Highlighting impactful factors on DALY, YLL, and YLD indicators

Assessing health determinants worldwide: Econometric analysis of the Global Burden of Diseases Study 2000–18 – Highlighting impactful factors on DALY, YLL, and YLD indicators

Analysis of Factors Influencing Individuals' Probability of Smoking in Turkey: A Random-Effects Ordered Probit Model

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