2021
DOI: 10.18332/tid/131265
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Tobacco attributable Disability-Adjusted Life Years (DALYs) burden in Poland and Hungary: The role of women

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Cited by 3 publications
(6 citation statements)
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“…Smoking is a recognized modifiable risk factor for many non-communicable diseases, and remains one of the biggest global public health challenges 1 , 2 . Previous studies report a 20–30% smoking prevalence in western countries and a 12–47% smoking prevalence in Asian countries 1 , 3 - 5 .…”
Section: Introductionmentioning
confidence: 99%
“…Smoking is a recognized modifiable risk factor for many non-communicable diseases, and remains one of the biggest global public health challenges 1 , 2 . Previous studies report a 20–30% smoking prevalence in western countries and a 12–47% smoking prevalence in Asian countries 1 , 3 - 5 .…”
Section: Introductionmentioning
confidence: 99%
“…Until now, however, there is no solution analogous to the other three prevention screenings programs funded by the NHF (breast, cervical, and colorectal cancer screenings). In the face of an exceptionally high lung cancer burden, as well as constantly increasing lung cancer mortality, among Polish women [ 1 , 2 ], W could be an excellent, effective tool supporting smoking cessation, but also lung cancer screening participation in the future.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, according to 2019 Global Burden of Disease data [ 18 ], West Virginia and Kentucky are the only two states with exceptionally high disability-adjusted life years (DALY) indicator levels attributable to tobacco use (17·5% to <20%). Similarly, Poland is one of the few EU states (Bulgaria, Croatia, Greece, Hungary, and Poland) with tobacco attributable DALY at the same high range, where the role of tobacco consumption—particularly in female populations—can be considered as a crucial one [ 2 ].…”
Section: Methodsmentioning
confidence: 99%
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“…We focused on attitudes and approaches to smoking cessation and the COVID-19 pandemic, especially its impact on smokers’ decision to quit, stratified by smoking status (heavy smoker/not heavy smokers) and respondent’s gender. Due to high differences between genders in smoking prevalence [ 12 ] as well as in lung cancer mortality in Poland [ 13 ], we decided to present our data separately for men and women. This approach may contribute to better understanding the differences between these two groups and what seems to be crucial for development of more effective gender-tailored health policy actions in the future.…”
Section: Methodsmentioning
confidence: 99%