Evidence map›Paper›PMID 38550907›Full record

ArticleTobacco induced diseases2024

Assessing tobacco-related ischemic stroke in Pakistan (1990-2019): Insights from the Global Burden of Disease Study.

Shuai Hou, Meng Pang, Yifeng Zhang, Yulei Xia, Yanqiang Wang, Gang Wang

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Article in Tobacco induced diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shuai HouEmergency Department, Affiliated Hospital of Shandong Second Medical University, Weifang, People's Republic of China.
Meng PangDepartment II of Neurology, Affiliated Hospital of Shandong Second Medical University, Weifang, People's Republic of China.
Yifeng ZhangDepartment II of Neurology, Affiliated Hospital of Shandong Second Medical University, Weifang, People's Republic of China.
Yulei XiaDepartment II of Neurology, Affiliated Hospital of Shandong Second Medical University, Weifang, People's Republic of China.
Yanqiang WangDepartment II of Neurology, Affiliated Hospital of Shandong Second Medical University, Weifang, People's Republic of China.
Gang WangEmergency Department, Affiliated Hospital of Shandong Second Medical University, Weifang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study analyzes the impact of active smoking and secondhand smoke on the ischemic stroke burden of Pakistan, 1990-2019.

methodsWe used data from the Global Burden of Disease (GBD) database to conduct a comprehensive evaluation of ischemic stroke-related indicators in Pakistan, including the number of deaths, mortality rates, disability-adjusted life years (DALYs), DALY rates, and the estimated annual percentage change (EAPC). Joinpoint analysis was applied to assess sex-specific temporal trends in the burden of active smoking and secondhand smoke in Pakistan and regions of Pakistan. These assessments incorporated the Socio-Demographic Index (SDI) and we have made comparative analyses of epidemiological differences between active smoking and secondhand smoke exposure.

resultsThe burden of ischemic stroke related to tobacco use is presented in terms of the age-standardized mortality rate (ASMR) and the age-standardized disability-adjusted life year rate (ASDR) per 100000 population. The results (ASMR/ASDR) for Pakistan were 6.04/130.81, in the middle SDI region 7.69/176.54, and low-middle SDI region 5.64/124.22. Pakistan's ASMR is higher than the global average of 5.85, while ASDR is lower than the global average of 140.23. From 1990 to 2019, a downward trend in both ASMR and ASDR was observed, indicating progress in controlling tobacco-related stroke burdens. Individuals aged ≥70 years experienced the highest rates of stroke (ASMR: 66.31; ASDR: 1091.20). Gender disparities were evident: men were more affected by active smoking (ASMR: 3.08; ASDR: 78.47) than women (ASMR: 0.79; ASDR: 20.76), while women faced a higher burden from secondhand smoke (ASMR: 0.66; ASDR: 16.33) compared to men (ASMR: 0.79; ASDR: 9.93). Regional differences within Pakistan show fluctuating death and DALY rates. Notably, an increasing trend in female ASDR due to secondhand smoke in the Khyber Pakhtunkhwa Region (annual percentage change, APC=0.17 from 2010 to 2019) calls for focused health interventions.

conclusionsThe study finds ASMR for tobacco-related ischemic stroke in Pakistan exceeds global averages, with significant gender and age disparities in exposure to smoke, highlighting the need for targeted health interventions.

Indexed as

active smokingdisease burdenischemic strokePakistansecondhand smoke

Identifiers

PMID38550907
PMCPMC10973799

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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.