Relevant bibliographies by topics / Smoking-attributable fraction

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Smoking-attributable fraction'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Smoking-attributable fraction"

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Di Maso, Matteo, Francesca Bravi, Jerry Polesel, et al. "Attributable fraction for multiple risk factors: Methods, interpretations, and examples." Statistical Methods in Medical Research 29, no. 3 (2019): 854–65. http://dx.doi.org/10.1177/0962280219848471.

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The attributable fraction is the candidate tool to quantify individual shares of each risk factor on the disease burden in a population, expressing the proportion of cases ascribable to the risk factors. The original formula ignored the presence of other factors (i.e. multiple risk factors and/or confounders), and several adjusting methods for potential confounders have been proposed. However, crude and adjusted attributable fractions do not sum up to their joint attributable fraction (i.e. the number of cases attributable to all risk factors together) and their sum may exceed one. A different
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Leila, Hosseini Hossein Vatanpour* Mehdi Mohammadzadeh Mohamadreza Abdolahi Rita Motidostkomleh. "SMOKING-ATTRIBUTABLE FRACTION (SAF) OF MEDICAL CARE COSTS FOR CANCER PATIENTS." Indo American Journal of Pharmaceutical Sciences 04, no. 12 (2017): 4387–96. https://doi.org/10.5281/zenodo.1098411.

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Objectives: the economic impact of smoking on developing countries such as Iran has not been well documented still. This study aimed to develop the estimates of the direct costs of medicine for smoking in Iran during 2014. Methods: A prevalence-based approach was used to estimate the annual costs of smoking. Then, an econometric model was applied to estimate the Smoking-Attributable Fraction (SAF) for direct costs (prescription medicine) of smoking-attributable diseases. A variety of sociodemographic, economic, and behavioral factors were controlled by the model. Results: In 2014, the estimate
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Maguire, Frances B., Ani S. Movsisyan, Cyllene R. Morris, Arti Parikh-Patel, Theresa H. M. Keegan, and Elisa K. Tong. "Evaluation of Cancer Deaths Attributable to Tobacco in California, 2014-2019." JAMA Network Open 5, no. 12 (2022): e2246651. http://dx.doi.org/10.1001/jamanetworkopen.2022.46651.

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ImportanceCalifornia’s tobacco control efforts have been associated with a decrease in cancer mortality, but these estimates are based on smoking prevalence of the general population. Patient-level tobacco use information allows for more precise estimates of the proportion of cancer deaths attributable to smoking.ObjectiveTo calculate the proportion (smoking-attributable fraction) and number (smoking-attributable cancer mortality) of cancer deaths attributable to tobacco use using patient-level data.Design, Setting, and ParticipantsThe smoking-attributable fraction and smoking-attributable can
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Ghosh, S., F. Garden, K. B. Luu, et al. "Population attributable fraction for smoking and diabetes in TB." International Journal of Tuberculosis and Lung Disease 28, no. 4 (2024): 204–6. http://dx.doi.org/10.5588/ijtld.23.0338.

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Ko, Kwang-Pil. "Cancer attributable to tobacco smoking: a focus on primary prevention." Journal of the Korean Medical Association 68, no. 2 (2025): 91–99. https://doi.org/10.5124/jkma.2025.68.2.91.

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Background: This paper reviews recent research findings on the population-attributable risk (PAR) of tobacco smoking in cancer incidence. It examines the components used in calculating PAR, specifically smoking prevalence and the relative risk of cancer associated with tobacco smoking.Current Concepts: The association between tobacco smoking and cancer risk is typically measured by the relative risk, which indicates how many times higher the cancer risk is in smokers compared to non-smokers. There is robust evidence that tobacco smoking is carcinogenic for cancers of the oral cavity, esophagus
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Tanuseputro, P. "Improving Population Attributable Fraction Methods: Examining Smoking-attributable Mortality for 87 Geographic Regions in Canada." American Journal of Epidemiology 161, no. 8 (2005): 787–98. http://dx.doi.org/10.1093/aje/kwi093.

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Zahra, Aqeela, Hae-Kwan Cheong, and Jae-Hyun Park. "Burden of Disease Attributable to Smoking in Korea." Asia Pacific Journal of Public Health 29, no. 1 (2016): 47–59. http://dx.doi.org/10.1177/1010539516675696.

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Smoking is one of the major health threats and is highly prevalent in Korea. This study quantifies the burden of disease (BOD) resulting from smoking by using the most reliable national statistics of Korea. We followed Global Burden of Disease Study (GBD) 2013 methodology for estimating BOD attributable to smoking. Population attributable fraction was calculated for all diseases and multiplied by disability-adjusted life years (DALYs) to obtain BOD by each disease. Total burden of smoking in Korea was 1 368 072 DALYs (38 per 1000); 68% of the disease burden was in males and 32% in females. The
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Obtel, M., C. Nejjari, N. Tachfouti, N. Abda, L. Belakhel, and S. Mathoulin Pelissier. "Estimating attributable fraction of lung cancer linked to smoking in Morocco." Eastern Mediterranean Health Journal 21, no. 12 (2015): 871–77. http://dx.doi.org/10.26719/2015.21.12.871.

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Ojima, Toshiyuki, Ritei Uehara, Makoto Watanabe, Morihiro Tajimi, Izumi Oki, and Yosikazu Nakamura. "Population attributable fraction of smoking to low birth weight in Japan." Pediatrics International 46, no. 3 (2004): 264–67. http://dx.doi.org/10.1111/j.1442-200x.2004.01881.x.

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Xia, Changfa, Rongshou Zheng, Hongmei Zeng, et al. "Provincial-level cancer burden attributable to active and second-hand smoking in China." Tobacco Control 28, no. 6 (2018): 669–75. http://dx.doi.org/10.1136/tobaccocontrol-2018-054583.

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BackgroundUnderstanding disparities in the burden of cancer attributable to smoking is crucial to inform and improve tobacco control measures. In this report, we estimate the population attributable fraction (PAF) of cancers deaths attributable to smoking at the national and provincial levels in China.MethodsUsing cancer mortality data from 978 counties, smoking data from a nationwide survey and relative risks from a prospective study of 0.5 million adults in China, we calculated the absolute (non-standardised) and standardised numbers and proportions of cancer deaths among adults 30 years and
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Dissertations / Theses on the topic "Smoking-attributable fraction"

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Naudin, Sabine. "Le rôle de la consommation d’alcool et du mode de vie sur le risque de cancer du pancréas dans l’étude EPIC." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSE1133/document.

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Souvent diagnostiqué à un stade avancé, le cancer du pancréas (CP) est un cancer particulièrement létal pour lequel il n’y a, à ce jour, que très peu de possibilités de traitement et de diagnostic anticipé. L’identification de facteurs de risque modifiables pourrait fournir des données épidémiologiques nécessaires au soutien de la mise en place de mesures préventives. Cette thèse a pour but d’étudier l’étiologie du CP en évaluant le rôle de la consommation d’alcool et du mode de vie dans l’étude prospective européenne sur le cancer et la nutrition (EPIC), cohorte multicentrique de plus de 500,
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Amere, Genet A. MD. "Population Attributable Fraction of Smoking for Tuberculosis (TB) Disease Incidence and TB Mortality in High-Burden TB Countries." 2017. http://scholarworks.gsu.edu/iph_theses/506.

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Background: Globally, there are 10 million new cases of tuberculosis (TB) disease annually and 95% of cases occur in low- and middle-income countries (LMIC). More than 1 billion people use tobacco, and 80% of tobacco users reside in LMIC. Smoking approximately doubles the risk of TB disease and is associated with excess mortality during TB treatment. We aimed to estimate the proportion of annual incident TB cases and TB mortality attributable to tobacco smoking in high burden TB countries. Methods: To estimate population attributable fractions (PAF), we obtained country specific estimates of T
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Baliunas, Dalia Ona. "A Comparison of Two Methods of Adjusted Attributable Fraction Estimation as Applied to the Four Major Smoking Related Causes of Death, in Canada, in 2005." Thesis, 2011. http://hdl.handle.net/1807/32061.

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The main objective of the thesis was to compare two methods of calculating adjusted attributable fractions and deaths as applied to smoking exposure and four health outcomes, lung cancer, ischaemic heart disease, chronic obstructive pulmonary disease, and cerebrovascular disease, for Canadians 30 years or older in the year 2005. An additional objective was to calculate variance estimates for the evaluation of precision. Such estimates have not been published for Canada to date. Attributable fractions were calculated using the fully adjusted method and the partial adjustment method. This met
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Book chapters on the topic "Smoking-attributable fraction"

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"Smoking-Attributable Fraction." In Handbook of Disease Burdens and Quality of Life Measures. Springer New York, 2010. http://dx.doi.org/10.1007/978-0-387-78665-0_6665.

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Conference papers on the topic "Smoking-attributable fraction"

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Riyadina, Woro, Dewi Kristanti, Julianty Pradono, Ekowati Rahajeng, and Yuda Turana. "A Cohort Study on The Primary Prevention of Stroke Incidence in Adult Population in Bogor, West Java." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.01.25.

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ABSTRACT Background: Incidence of stroke showed an increasing trend in Indonesia, 12 new cases per 1,000 in 2013, and 19 new cases per 1,000 in 2018 despite the stroke control programs from the government. This study aimed to estimate Cumulative Incidence, Incidence Rate, and Population Attributable Fraction (PAF). This study also estimated the effect of blood pressure, physical activity, blood sugar levels, and smoking habits on the risk of stroke in adults. Subjects and Method: This was a cohort study conducted for 6 years in 5 Districts, Bogor City, West Java. An adult population of 5,189 s
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