Dataset Information

Assessing the impact of smoking on the health and productivity of the working-age Indonesian population using modelling.

ABSTRACT:

Objectives

To estimate the impact of smoking in the working-age Indonesian population in terms of costs, years of life, quality-adjusted life years (QALYs) and productivity-adjusted life years (PALYs) lost.

Methods

Life table modelling of Indonesian smokers aged 15-54 years, followed up until 55 years (retirement age). Contemporary data on demographics, all-cause mortality, population attributable fractions and prevalence of smoking were derived from the Institute for Health Metrics and Evaluation. The quality of life and reduction in productivity due to smoking were derived from published sources. The analysis was repeated but with the assumption that the cohorts were non-smokers. The differences in results represented the losses incurred due to smoking. Gross domestic product (GDP) per equivalent full-time worker (US$11 765) was used for estimation of the cost of each PALY, and an annual discount rate of 3.0% was applied to all costs and outcomes.

Results

The prevalences of smoking among Indonesian working-age men and women were 67.2% and 2.16%, respectively. This study estimated that smoking caused 846?123 excess deaths, 2.9?million years of life lost (0.40%), 41.6?million QALYs lost (5.9%) and 15.6?million PALYs lost (2.3%). The total cost of productivity loss due to smoking amounted to US$183.7?billion among the working-age population followed up until retirement. Healthcare cost was predicted to be US$1.8?trillion. Over a 1-year time horizon, US$10.2?billion was lost in GDP and 117?billion was lost in healthcare costs.

Conclusion

Smoking imposes significant health and economic burden in Indonesia. The findings stress the importance of developing effective tobacco control strategies at the macro and micro levels, which would benefit the country both in terms of health and wealth.

SUBMITTER: Satyana RPU

PROVIDER: S-EPMC7678342 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Assessing the impact of smoking on the health and productivity of the working-age Indonesian population using modelling.

Satyana Regina P U RPU Uli Regina E RE Magliano Dianna D Zomer Ella E Liew Danny D Ademi Zanfina Z

BMJ open 20201119 11

<h4>Objectives</h4>To estimate the impact of smoking in the working-age Indonesian population in terms of costs, years of life, quality-adjusted life years (QALYs) and productivity-adjusted life years (PALYs) lost.<h4>Methods</h4>Life table modelling of Indonesian smokers aged 15-54 years, followed up until 55 years (retirement age). Contemporary data on demographics, all-cause mortality, population attributable fractions and prevalence of smoking were derived from the Institute for Health Metri ...[more]

PMID: 33444213

Similar Datasets

Project description:Employers play a vital role in promoting and supporting tobacco use cessation among tobacco-using workers. Cigarette smoking during pregnancy is a preventable cause of complications in pregnancy and adverse infant health outcomes.To estimate cigarette smoking prevalence and attempts to quit among working women of reproductive age in different industries and occupations using a nationally representative survey.The 2009-2013 National Health Interview Survey data for women of reproductive age (18-49 years) who were working in the week prior to the interview (n = 30855) were analyzed. Data were adjusted for nonresponse and weighted to produce nationally representative estimates.During 2009-2013, among working women of reproductive age, an estimated 17.3% (95% confidence interval [CI]: 16.7-17.8) and 12.9% (95% CI: 12.4-13.4) were current and former cigarette smokers, respectively. Of women who smoke daily, 44.5% (95% CI: 42.5-46.5) had made a quit attempt for more than 1 day in the year before the interview. Cigarette smoking prevalence was highest among women working in the construction industry (29.2%; 95% CI: 22.8-35.7) and in construction and extraction occupations (34.6%; 95% CI: 23.4-45.9). Among working women who were pregnant at the time of the interview, 6.8% (95% CI: 4.4-9.2) and 20.4% (95% CI: 16.9-24.0) were current and former cigarette smokers, respectively.Cigarette smoking prevalence varies by industry and occupation. Intensifying tobacco control efforts in high prevalence industries and occupations could result in higher cessation rates and improvements in health among women of reproductive age.This study identified discrepancies in cigarette smoking among women of reproductive age across industries and occupations. In the absence of smoke-free local and state laws, employer-established smoke-free policies and workplace cessation programs are important for achieving reduction of tobacco use among women and for protecting other workers' health. Results in this report may assist in developing educational campaigns targeting women in industries and occupations with high prevalence of cigarette smoking and low percentage of ever-smokers who had quit.

Project description:BackgroundAchieving health benefits while reducing greenhouse gas emissions from transport offers a potential policy win-win; the magnitude of potential benefits, however, is likely to vary. This study uses an Integrated Transport and Health Impact Modelling tool (ITHIM) to evaluate the health and environmental impacts of high walking and cycling transport scenarios for English and Welsh urban areas outside London.MethodsThree scenarios with increased walking and cycling and lower car use were generated based upon the Visions 2030 Walking and Cycling project. Changes to carbon dioxide emissions were estimated by environmental modelling. Health impact assessment modelling was used to estimate changes in Disability Adjusted Life Years (DALYs) resulting from changes in exposure to air pollution, road traffic injury risk, and physical activity. We compare the findings of the model with results generated using the World Health Organization's Health Economic Assessment of Transport (HEAT) tools.ResultsThis study found considerable reductions in disease burden under all three scenarios, with the largest health benefits attributed to reductions in ischemic heart disease. The pathways that produced the largest benefits were, in order, physical activity, road traffic injuries, and air pollution. The choice of dose response relationship for physical activity had a large impact on the size of the benefits. Modelling the impact on all-cause mortality rather than through individual diseases suggested larger benefits. Using the best available evidence we found fewer road traffic injuries for all scenarios compared with baseline but alternative assumptions suggested potential increases.ConclusionsMethods to estimate the health impacts from transport related physical activity and injury risk are in their infancy; this study has demonstrated an integration of transport and health impact modelling approaches. The findings add to the case for a move from car transport to walking and cycling, and have implications for empirical and modelling research.

Dataset Information

Assessing the impact of smoking on the health and productivity of the working-age Indonesian population using modelling.

Objectives

Methods

Results

Conclusion

Publications

Assessing the impact of smoking on the health and productivity of the working-age Indonesian population using modelling.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets