Literature DB >> 30610080

Impact of tobacco use on health and work productivity in Malaysia.

Qian Ying Tan1,2, Ella Zomer2, Alice J Owen2, Ken Lee Chin2, Danny Liew2.   

Abstract

BACKGROUND: The loss of productivity arising from tobacco use in low/middle-income countries has not been well described. We sought to examine the impact of cigarette smoking on population health and work productivity in Malaysia using a recently published measure, the productivity-adjusted life year (PALY).
METHODS: A life table model was constructed using published Malaysian demographic and mortality data. Our analysis was limited to male smokers due to the low smoking prevalence in females (1.1%). Male smokers aged 15-64 years were followed up until 65 years or until death. The population attributable risk, health-related quality of life decrements and relative reduction in productivity due to smoking were sourced from published data. The analysis was repeated assuming the cohorts were never smokers, and the differences in outcomes represented the health and productivity burden conferred by smoking. The cost of productivity loss was estimated based on the gross domestic product per equivalent full-time worker in Malaysia.
RESULTS: Tobacco use is highly prevalent among working-age males in Malaysia, with 4.2 million (37.5%) daily smokers among men aged between 15 and 64 years. Overall, our model estimated that smoking resulted in the loss of over 2.1 million life years (2.9%), 5.5 million (8.2%) quality-adjusted life years (QALYs) and 3.0 million (4.8%) PALYs. Smoking was estimated to incur RM275.3 billion (US$69.4 billion) in loss of productivity.
CONCLUSION: Tobacco use imposes a significant public health and economic burden among working-age males in Malaysia. This study highlights the need of effective public health interventions to reduce tobacco use. © Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  economics; low/middle income country; tobacco industry

Mesh:

Year:  2019        PMID: 30610080     DOI: 10.1136/tobaccocontrol-2018-054677

Source DB:  PubMed          Journal:  Tob Control        ISSN: 0964-4563            Impact factor:   7.552


  6 in total

1.  Productivity burden of hypertension in Japan.

Authors:  Eri Asakura; Zanfina Ademi; Danny Liew; Ella Zomer
Journal:  Hypertens Res       Date:  2021-08-26       Impact factor: 3.872

2.  Burden of disease and productivity impact of Streptococcus suis infection in Thailand.

Authors:  Ajaree Rayanakorn; Zanfina Ademi; Danny Liew; Learn-Han Lee
Journal:  PLoS Negl Trop Dis       Date:  2021-01-22

3.  Productivity-Adjusted Life-Years: A New Metric for Quantifying Disease Burden.

Authors:  Zanfina Ademi; Ilana N Ackerman; Ella Zomer; Danny Liew
Journal:  Pharmacoeconomics       Date:  2021-01-11       Impact factor: 4.981

4.  The Preventable Productivity Burden of Kidney Disease in Australia.

Authors:  Feby Savira; Zanfina Ademi; Bing H Wang; Andrew R Kompa; Alice J Owen; Danny Liew; Ella Zomer
Journal:  J Am Soc Nephrol       Date:  2021-03-09       Impact factor: 10.121

5.  Factors influencing cigarette smoking among police and costs of an officer smoking in the workplace at Nsambya Barracks, Uganda.

Authors:  Robert Basaza; Mable M Kukunda; Emmanuel Otieno; Elizabeth Kyasiimire; Hafisa Lukwata; Christopher K Haddock
Journal:  Tob Prev Cessat       Date:  2020-01-20

6.  Health and productivity burden of coronary heart disease in the working Indonesian population using life-table modelling.

Authors:  Regina E Uli; Regina P U Satyana; Ella Zomer; Dianna Magliano; Danny Liew; Zanfina Ademi
Journal:  BMJ Open       Date:  2020-09-09       Impact factor: 2.692

  6 in total

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