Effect of smoking status on productivity loss

Social Costs of Smoking in the Czech Republic

OBJECTIVES

Smoking is an important risk factor leading to many diseases, which brings substantial healthcare costs as well as indirect costs due to decreased productivity. This article aims to quantify the social costs of smoking in the Czech Republic in 2019.

METHODS

The prevalence-based, cost-of-illness approach is used, which assesses the costs as the sum of direct (healthcare) costs and indirect costs (productivity losses due to mortality and morbidity). The costs of healthcare utilization and pharmacotherapy in direct costs, and the costs of absenteeism, presenteeism, and premature mortality in indirect costs, are included.

RESULTS

Total costs of smoking in the Czech Republic in 2019 are estimated as 2110.6 million EUR (0.94% of GDP). Direct costs amounted to 537.0 million EUR (2.9% of health expenditures in 2019) and indirect costs were 1573.6 million EUR, mainly driven by the costs of premature mortality (1062.5 million EUR).

CONCLUSIONS

Despite the declining trend in the prevalence of smoking in the Czech Republic, the associated costs are considerable. Investments into strategies to reduce smoking continue to be needed.

Smoking-Attributable Health Care Expenditures for US Adults With Chronic Lower Respiratory Disease

Importance

Cigarette smoking is a primary risk factor for chronic lower respiratory disease (CLRD) and is associated with worse symptoms among people with CLRD. It is important to evaluate the economic outcomes of smoking in this population.

Objective

To estimate smoking prevalence and cigarette smoking-attributable health care expenditures (SAHEs) for adults with CLRD in the US.

Design, Setting, and Participants

This cross-sectional study used data from the 2014-2018 and 2020 National Health Interview Surveys (NHIS) and the 2020 Medical Expenditure Panel Survey. The final study population, stratified by age 35 to 64 years and 65 years or older, was extracted from the 2014-2018 NHIS data. The data analysis was performed between February 1 and March 31, 2024.

Exposures

Cigarette smoking, as classified into 4 categories: current smokers, former smokers who quit less than 15 years ago, former smokers who quit 15 or more years ago, and never smokers.

Main Outcomes and Measures

Smoking-attributable health care expenditures were assessed using a prevalence-based annual cost approach. Econometric models for the association between cigarette smoking and health care utilization were estimated for 4 types of health care services: inpatient care, emergency department visits, physician visits, and home health visits.

Results

In the 2014-2018 NHIS study sample of 13 017 adults, 7400 (weighted 62.4%) were aged 35 to 64 years, 5617 (weighted 37.6%) were 65 years or older, and 8239 (weighted 61.9%) were female. In 2020, among 11 211 222 adults aged 35 to 64 with CLRD, 3 508 504 (31.3%) were current smokers and 3 496 790 (31.2%) were former smokers. Total SAHEs in 2020 for this age group were $13.6 billion, averaging $2752 per current smoker and $1083 per former smoker. In 2020, 7 561 909 adults aged 65 years or older had CLRD, with 1 451 033 (19.2%) being current smokers and 4 104 904 (54.3%) being former smokers. Total SAHEs in 2020 for the older age group were $5.3 billion, averaging $1704 per current smoker and $682 per former smoker. In sum, SAHEs for adults with CLRD aged 35 years or older amounted to $18.9 billion in 2020.

Conclusions and Relevance

In this cross-sectional study of adults with CLRD, cigarette smoking was associated with a substantial health care burden. The higher per-person SAHEs for current smokers compared with former smokers suggest potential cost savings of developing targeted smoking cessation interventions for this population.

Illuminating a Path Forward for Tobacco Nation: Projected Impacts of Recommended Policies on Geographic Disparities

Introduction

This study quantifies the impacts of strengthening 2 tobacco control policies in "Tobacco Nation," a region of the United States (U.S.) with persistently higher smoking rates and weaker tobacco control policies than the rest of the US, despite high levels of support for tobacco control policies.

Methods

We used a microsimulation model, ModelHealthTM:Tobacco, to project smoking-attributable (SA) outcomes in Tobacco Nation states and the U.S. from 2022 to 2041 under 2 scenarios: (1) no policy change and (2) a simultaneous increase in cigarette taxes by $1.50 and in tobacco control expenditures to the CDC-recommended level for each state. The simulation uses state-specific data to simulate changes in cigarette smoking as individuals age and the health and economic consequences of current or former smoking. We simulated 500 000 individuals for each Tobacco Nation state and the U.S. overall, representative of each population.

Results

Over the next 20 years, without policy changes, disparities in cigarette smoking will persist between Tobacco Nation and other U.S. states. However, compared to a scenario with no policy change, the simulated policies would lead to a 3.5% greater reduction in adult smoking prevalence, 2361 fewer SA deaths per million persons, and $334M saved in healthcare expenditures per million persons in Tobacco Nation. State-level findings demonstrate similar impacts.

Conclusions

The simulations indicate that the simulated policies could substantially reduce cigarette smoking disparities between Tobacco Nation and other U.S. states. These findings can inform tobacco control advocacy and policy efforts to advance policies that align with evidence and Tobacco Nation residents' wishes.

Cost of Cigarette Smoking‒Attributable Productivity Losses, U.S., 2018

INTRODUCTION

Information on morbidity-related productivity losses attributable to cigarette smoking, an important component of the economic burden of cigarette smoking, is limited. This study fills this gap by estimating these costs in the U.S. and by state.

METHODS

A human capital approach was used to estimate the cost of the morbidity-related productivity losses (absenteeism, presenteeism, household productivity, and inability to work) attributable to cigarette smoking among adults aged ≥18 years in the U.S. and by state. A combination of data, including the 2014-2018 National Health Interview Survey, 2018 Current Population Survey Annual Social and Economic Supplement, 2018 Behavioral Risk Factor Surveillance System, 2018 value of daily housework, and literature-based estimate of lost productivity while at work (presenteeism), was used. Costs were estimated for 2018, and all analyses were conducted in 2021.

RESULTS

Estimated total cost of morbidity-related productivity losses attributable to cigarette smoking in the U.S. in 2018 was $184.9 billion. Absenteeism, presenteeism, home productivity, and the inability to work accounted for $9.4 billion, $46.8 billion, $12.8 billion, and $116.0 billion, respectively. State-level total costs ranged from $291 million to $16.9 billion with a median cost of $2.7 billion.

CONCLUSIONS

The cost of morbidity-related productivity losses attributable to cigarette smoking in the U.S. and in each state was substantial in 2018 and varied across the states. These estimates can guide public health policymakers and practitioners planning and evaluating interventions designed to alleviate the burden of cigarette smoking at the state and national levels.

Presenteeism and Productivity Loss Among Nurses

Objectives. Presenteeism is a significant problem among the working force and nurse is not an exception from these phenomena. The purpose of the study was to determine the productivity loss due to presenteeism from three dimensions and to evaluates the associated factors among nurses. Methods. A cross sectional study was conducted among 309 nurses to evaluate presenteeism using Stanford Presenteeism Scale (SPS), Health Performance Questionnaire (HPQ) and Work Productivity Short Inventory (WPSI). Results. The study found that nurses had a high level of presenteeism through using SPS (21.0 ± 4.3) and HPQ (80.0 ± 18.2). In Both scales, presenteeism was significantly associated with nurses who were older than 32 years, with an experience of more than 10 years, having children, and having two children. The results of WPSI showed that the productivity loss of presenteeism per nurse annually was 1,959 USD and for all nurses 605,283 USD. Conclusion. Eventually, evaluating the presenteeism level will help policymakers to understand the working conditions and related personal characteristics.

Prevalence of Cigarette Smoking among Professionally Active Adult Population in Poland and Its Strong Relationship with Cardiovascular Co-Morbidities-POL-O-CARIA 2021 Study

Smoking is a leading cause of preventable mortality. It affects both the health and economic situation within societies. The aim of the study is to perform an epidemiological analysis of smoking among professionally active adults in Poland in the years 2016–2020 and its Strong Relationship with Cardiovascular Co-morbidities. The article retrospectively analyzed the records of 1,450,455 who underwent occupational medicine examinations between 2016 and 2020. Statistical analyses performed using IBM SPSS Statistics 25 software were performed. In general, irrespective of the year of measurement, 11.6% of women and 17.1% of men declared smoking. After sorting by year of measurement, we found that the percentage of female smokers was decreasing, while that of males remained relatively consistent. In the case of BMI, it was found that among tobacco smokers the percentage of people with normal body weight decreases with successive years of measurement, while the percentage of overweight and level I obesity increases. Moreover, we analyzed in detail the occurrence of particular comorbidities in the group of people who declared smoking. The most common diseases in this group were: arterial hypertension (39%), lipid disorders (26.7%), and hypertension and lipid disorders (16.5%). Active preventive measures are necessary to reduce the number of smokers and the negative impact of smoking on the occurrence of comorbid diseases.

Effect of a workplace mobile phone-based instant messaging intervention on smoking cessation: a cluster-randomized controlled trial

AIMS

To test the effectiveness of intractive, instant messaging chat-based mobile phone support versus text-based mobile phone support integrated with brief interventions on self-reported smoking abstinence in workplaces.

DESIGN

A two-arm parallel cluster-randomized controlled trial with follow-up to 12 months.

SETTING

Seventy-five companies in Hong Kong, China.

PARTICIPANTS

Daily cigarette adult smokers (92.0% male, 90.9% not ready to quit within the next 30 days) from 75 companies (clusters).

INTERVENTIONS

Participants were cluster-randomized to receive text-based support (TBS, n = 375; 38 clusters) or chat-based support (CBS, n = 304; 37 clusters). TBS participants received automated and fix-scheduled text messages on cessation advice and support. CBS participants received fix-scheduled text messages and additional real-time psychosocial and cessation support via instant messaging services (e.g. WhatsApp) by counsellors. Both groups received a 1-hour health talk at baseline and brief telephone counselling at 1 week and 1, 3, 6 and 12 months.

MEASUREMENTS

The primary outcome was self-reported 7-day point-prevalence abstinence at 6 months post-treatment initiation. Secondary outcomes included 7-day point-prevalence abstinence at 12 months, repeated 7-day point-prevalence abstinence, smoking reduction, quit attempts and intervention engagement, defined as having read text messages and/or engaged in conversation with counsellors.

FINDINGS

By intention-to-treat assuming that dropouts were smoking, self-reported abstinence was not significantly different between the CBS and TBS groups at 6 months [18.8 versus 21.6%, risk ratio (RR) = 0.87, 95% confidence interval (CI) = 0.61, 1.23, retention = 71.3%] and 12 months (21.4 versus 24.0%, RR = 0.90, 95% CI = 0.66, 1.21, retention = 70.8%). The repeated 7-day point-prevalence abstinence, smoking reduction and quit attempts were similar between the groups. The participants who were engaged in the text- and/or chat-based interventions had greater abstinence (adjusted RR = 2.91, 95% CI = 1.87, 4.52) at 6 months compared with unengaged participants.

CONCLUSIONS

Compared with a text messaging mobile phone intervention, a chat-based instant messaging mobile phone intervention did not improve smoking abstinence over 12 months in workplaces. Engagement in text-based or chat-based interventions was associated with higher quit rates compared with non-engagement.

Impacts of heavy smoking and alcohol consumption on workplace presenteeism: A cross-sectional study

Presenteeism refers to the practice of going to work despite poor health, resulting in subpar performance. This study aimed to explore the impacts of smoking and alcohol consumption on workplace presenteeism based on demographic, health-related, and employment variables.The study adopted a cross sectional design with 60,051 wage workers from the database of the second and third Korean Working Conditions Surveys in 2010 and 2011, respectively. A total of 41,404 workers aged 19 years and older, who had worked for at least 1 hour in the previous week, answered the survey questions. Chi-square test as well as univariate and multiple logistic regression analyses were conducted using SPSS, version 18.0, to determine the impacts of smoking and alcohol consumption on workplace presenteeism.Of the 41,404 Korean workers, 8512 (20.6%) had experienced presenteeism in the past 12 months. There were significant differences among gender, age, educational status, income, health problems, absenteeism, shift work, night shift, weekly working hours, exposure to secondhand smoke at work, and satisfaction with the workplace environment. Based on the results of multiple regression analysis, heavy smoking (adjusted odds ratio = 1.38, 95% confidence intervals [1.11, 1.72]) and high-risk drinking (adjusted odds ratio = 1.19, 95% confidence intervals [1.08, 1.31]) were significantly related to presenteeism among workers.The results of our study confirmed that smoking and alcohol drinking were related to presenteeism even after controlling other variables (demographic, health-related, and employment variables) that affect presenteeism. Smoking and alcohol drinking are associated with and potentially influence presenteeism; in particular, heavy smoking and high-risk drinking contributed to presenteeism. Companies that encourage employees to receive treatments for reduction of smoking or alcohol consumption may benefit from greater productivity. Hence, we should consider the impact of smoking and alcohol consumption in the workplace and build appropriate strategies and programs to help reduce these behaviors.

Does support for smoke-free outdoor spaces increase after implementation?: A case study of a Dutch research center's smoke-free campus transition

INTRODUCTION

Policymakers may sometimes be reluctant to develop policies for smoke-free outdoor spaces due to concerns about public reaction. In this study, we investigated the support for a smoke-free campus before and after the campus of a Dutch research institute became smoke-free.

METHODS

We conducted two surveys among employees to measure the level of support for a smoke-free campus. The first survey (n=129) was conducted 3 months before and the second 13 months after the implementation of a smoke-free campus policy (n=134).

RESULTS

More employees supported the smoke-free campus after (82.1%) than before (64.3%) implementation (OR=2.55; 95% CI: 1.39–4.70; p=0.003). In addition, more employees (75.4%) employees believed it is important to have a smoke-free campus than was the situation before (56.6%) the implementation (OR=2.28; 95% CI: 1.31–3.97; p=0.004).

CONCLUSIONS

This case study adds to the knowledge that support for a smoke-free campus increases after implementation of a smoke-free policy. This may encourage other organizations or local governments to create policies for smoke-free outdoor spaces.

Treating tobacco dependence to aid re-employment among job-seekers: A randomized controlled trial

INTRODUCTION

U.S. reductions in smoking have not been experienced equally. Smoking prevalence is greater among persons of lower education, lower income, and unemployed. We evaluated whether a cessation intervention for job-seekers would result in significantly fewer cigarettes smoked per day and a greater likelihood of tobacco abstinence and re-employment, compared to the control condition at 6-months follow-up.

METHODS

Unemployed, job-seekers who smoked daily were recruited from five employment development departments in the San Francisco Bay Area, October 2015 to February 2018. Intention to quit smoking was not required. Participants were randomized to a brief motivationally-tailored, computer-assisted counseling intervention or referred to a toll-free quitline. Midstudy, 8-weeks of combination nicotine replacement was added to the intervention. Expired carbon monoxide and cotinine testing verified abstinence. Data were analyzed fall 2019.

RESULTS

Participants (N = 360; 70% men; 43% African American, 27% non-Hispanic Caucasian; 19% unhoused) averaged 12 cigarettes/day (SD = 6), 67% smoked within 30 min of wakening; 27% were in preparation stage to quit. During the 6-month study period, intervention participants were more likely to make a quit attempt (71% vs. 58%, p = .021) and reported significantly greater reduction in cigarettes/day than control participants (median reduction: 6.9 vs. 5.0, p = .038); however, bioconfirmed abstinence (3%) and re-employment (36%) did not differ by treatment group.

CONCLUSIONS

In a diverse sample with economic hardships, quit attempts and smoking reduction were greater in the intervention group; however, few achieved abstinence, and neither abstinence nor re-employment differed by condition. A priority group, further research is needed on smoking and re-employment.

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

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.

Associations of sustained smoking and smoking cessation with work-related outcomes: a longitudinal analysis

Purpose

The aim of this study was to assess the association between sustained smoking and quitting with work-related outcomes among older workers.

Methods

We categorized a sample of older employees into non-smokers, sustained smokers and quitters. Multivariable regression models were used to test longitudinal associations of sustained smoking and smoking cessation with sickness absence, productivity loss and work ability.

Results

We included 3612 non-smokers, 673 sustained smokers and 246 quitters. Comparing sustained smokers to non-smokers, we found higher (but not statistically significant) sickness absence for sustained smokers [1.01, 95% confidence interval (CI) − 0.16–2.17]. We did not find differences in productivity loss (OR 0.82, 95% CI 0.60–1.13) and work ability (0.05, 95% CI −0.05–0.15). For employees with a relatively high physical health at baseline, comparing quitters to sustained smokers, we found higher (but not statistically significant) productivity loss for quitters (OR 2.23, 95% CI 0.94–5.31), and no difference in sickness absence (0.10, 95% CI − 2.67–2.87), and work ability (− 0.10, 95% CI −  0.36–0.16). For employees with a relatively low physical health at baseline, comparing quitters to sustained smokers, we found a statistically significant lower work ability (− 0.31, 95% CI − 0.57–0.05), and no difference in sickness absence (2.53, 95% CI − 1.29–6.34) and productivity loss (OR 1.26, 95% CI 0.66–2.39).

Conclusions

We found no evidence that sustained smokers have less favorable work-related outcomes than non-smokers or that quitters have more favorable work-related outcomes than sustained smokers. The benefits of smoking cessation for employers might take a longer time to develop.

Smoking and school absenteeism among 15- to 16-year-old adolescents: a cross-section analysis on 36 European countries

Background

Schools have a crucial role to play in preventing youth smoking. However, the well-known long-term health consequences of youth smoking may be insufficient to convince education stakeholders to devote efforts to implement school-based programmes. However, if youth smoking were to have short-term consequences, this evidence could prompt education stakeholders’ action. In this article, we investigate the link between smoking and school absenteeism.

Methods

We used data from the 2011 wave of the European School Survey Project on Alcohol and Other Drugs, on adolescents aged 15–16. We applied logistic models to assess the risk of more than 3 missed school days, by cause, as function of smoking intensity, adjusting for age, sex, socioeconomic status, academic performance, parental involvement and other risk behaviours (alcohol and cannabis consumption). Consistency was assessed by replicating the analyses for each sex and age group and further adjusting for depression and self-esteem.

Results

Smoking more than five cigarettes per day was significantly linked to school absenteeism, with a 55% excess risk of missing more than 3 school days per month due to illness (OR = 1.55, 95% CI 1.46–1.64), and a more than two times excess risk due to skipping (OR = 2.29; 95% CI 2.16–2.43). These findings were consistent across age and sex groups.

Conclusion

We observed an association between smoking intensity and absenteeism among youth in Europe. This implies that, to the extent that this association is causal, school tobacco control policies may reduce the short-term consequences of smoking on adolescents’ education and health.

The impact of coronary heart disease prevention on work productivity: a 10-year analysis

AIMS

To determine the impact of preventing new (incident) cases of coronary heart disease (CHD) on years of life and productivity, using the novel measure 'productivity-adjusted life year' (PALY), over the next 10 years.

METHODS AND RESULTS

A dynamic life table model was constructed for the total Australian working-age population (15-69 years) over 10 years (2020-2029), separated by CHD status. Productivity estimates were sourced from the literature. The PALY was ascribed a financial value in terms of gross domestic product (GDP) per equivalent full-time worker. The total number of years lived, PALYs, and economic burden (in terms of GDP per PALY) were estimated. The model simulation was repeated assuming incidence was reduced, and the differences represented the impact of CHD prevention. All outcomes were discounted by 5% per annum. Over 10 years, the total projected years lived and PALYs in the Australian working-age population (with and without CHD) were 133 million and 83 million, respectively, amounting to A$17.2 trillion in GDP. We predicted more than 290 000 new (incident) CHD cases over the next 10 years. If all new cases of CHD could be prevented during this period, a total of 4 000 deaths could be averted, resulting in more than 8 000 years of life saved and 104 000 PALYs gained, equivalent to a gain of nearly A$21.8 billion (US$14.8 billion) in GDP.

CONCLUSION

Prevention of CHD will prolong years of life lived and productive life years, resulting in substantial economic benefit. Policy makers and employers are encouraged to engage in preventive measures addressing CHD.

Lifestyle Medicine and Worker Productivity

The issue of employee productivity has become a major concern for companies. Inefficiency can occur at every stage of production either as poor design, worker limitation, or other factors. It is generally assumed that a healthy worker is more productive than an unhealthy worker. As early as 1776 Adam Smith observed and published in The Wealth of Nations that poor worker health was a detriment to industrial productivity. The objective of this article is to review the literature documenting the gain or loss of productivity related to the health of workers, as well as any lifestyle management strategies that can be used to improve employee health and productivity. The impact of employee obesity, smoking, physical activity, sleep, and behavioral health on productivity will be explored. By identifying and addressing health risks that impair worker performance, lifestyle medicine professionals can demonstrate a significant return on investment by creating a healthier and more productive work force.

Correlates of quit intentions among current Nigerian smokers: Evidence from the 2012 Global Adult Tobacco Surveys (GATS)

INTRODUCTION

Approximately 3.1 million people use tobacco in Nigeria contributing to the burden of tobacco-related morbidity and mortality. However, many tobacco users who have tried to quit have been unable to do so at the first try, but may succeed or give up after multiple attempts. The transtheoretical model helps by classifying those with quit intentions into preparation, contemplation and precontemplation stages. These assist in the development of targeted interventions towards smokers in each stage for more effective results. There is limited evidence about cessation and quitting behaviour in the Nigerian context. This study aimed to explore the factors related to the intention to quit among current tobacco smokers in Nigeria using the transtheoretical model.

METHODS

The study was a secondary data analysis of the Nigeria 2012 Global Adult Tobacco Survey (GATS). The survey included non-institutionalized men and women aged ≥15 years. Data were analysed using SPSS version 21. The primary outcome variable was smoking quit intention. The correlates of quit intentions were determined for a p<0.05.

RESULTS

A total of 429 current smokers were mostly in precontemplation (64.7%) while 14.9% were in the preparation stage. Exposure to anti-tobacco media messages was associated with increased quit attempts, however, knowledge about the harmful effects of tobacco was associated with fewer quit intentions. Very few had access to cessation therapy and none had accessed a quitline. Male respondents were 9 times more likely to have a quit intention compared to females (OR=9.615; 95% CI: 1.449-1.478). Respondents with primary education were nearly three times more likely to have quit intentions than those with tertiary education (OR=2.991; 95% CI: 2.930-3.053).

CONCLUSIONS

While attention is on smoking prevention, most smokers in Nigeria are not considering quitting. There is a need for targeted interventions to reach smokers at various stages.

Economic Evaluation of Combining Pharmaco- and Behavioral Therapies for Smoking Cessation in an Occupational Medicine Setting

OBJECTIVE

To estimate the budget impact (BI) of funding pharmaco+behavioral therapies for smoking cessation from an employer perspective.

METHODS

A hybrid economic model was applied to estimate the BI, which considered up to four cessation attempts over a 3-year horizon. The model estimated the costs of funding a cessation programme, and the mean savings due to avoided loss of productivity and absenteeism because of smoking cessation.

RESULTS

53.8% of smokers quit smoking. The programme, which costs &OV0556;394,468, would generate earnings of &OV0556;1,342,133; with &OV0556;644,974 in incremental net savings. These mean &OV0556;1.64 in return per each euro invested. Results show net benefits from two cigarettes smoked while working every day.

CONCLUSIONS

Considering the avoided costs of loss of productivity and absenteeism, funding a smoking cessation programme of pharmaco+behavioral therapies would produce substantial savings for the employer.

Impact of tobacco use on health and work productivity in Malaysia

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.

Cost-effectiveness of enhancing a Quit-and-Win smoking cessation program for college students

OBJECTIVES

We conducted a cost-effectiveness analysis and model-based cost-utility and cost-benefit analysis of increased dosage (3 vs. 1 consecutive contests) and enhanced content (supplemental smoking-cessation counseling) of the Quit-and-Win contest using data from a randomized control trial enrolling college students in the US.

METHODS

For the cost-utility and cost-benefit analyses, we used a microsimulation model of the life course of current and former smokers to translate the distribution of the duration of continuous abstinence among each treatment arm's participants observed at the end of the trial (N = 1217) into expected quality-adjusted life-years (QALYs) and costs and an incremental net monetary benefit (INMB). Missing observations in the trial were classified as smoking. For our reference case, we took a societal perspective and used a 3% discount rate for costs and benefits. A probabilistic sensitivity analysis (PSA) was performed to account for model and trial-estimated parameter uncertainty. We also conducted a cost-effectiveness analysis (cost per additional intermediate cessation) using direct costs of the intervention and two trial-based estimates of intermediate cessation: (a) biochemically verified (BV) 6-month continuous abstinence and (b) BV 30-day point prevalence abstinence at 6 months.

RESULTS

Multiple contests resulted in a significantly higher BV 6-month continuous abstinence rate (RD 0.04), at a cost of $1275 per additional quit, and increased the duration of continuous abstinence among quitters. In the long run, multiple contests lead to an average gain of 0.03 QALYs and were cost saving. Incorporating parameter uncertainty into the analyses, the expected INMB was greater than $1000 for any realistic willingness to pay (WTP) for a QALY.

CONCLUSIONS

Assuming missing values were smoking, multiple contests appear to dominate a single contest from a societal perspective. Funding agencies seeking to promote population health by funding a Quit-and-Win contest in a university setting should strongly consider offering multiple consecutive contests. Further research is needed to evaluate multiple contests compared to no contest.

Basic economic gap related to smoking: reconciling tobacco tax receipts and economic costs of smoking-attributable diseases

BACKGROUND

Tobacco tax rates set by various governments are not based on the idea that tax receipts should cover the costs incurred by smoking. It can be assumed that tobacco tax receipts (TTR) differ from the costs of smoking. The aim is to determine the global basic economic gap (BEG) between TTR and the economic costs of smoking-attributable diseases (ECS).

METHODS

BEG is described as the difference between the ECS and TTR. A total of 124 countries representing 94% of global tobacco consumption were included in the research by means of the creation of a database, the adjustment of input data and the identification of their intersection.

RESULTS

The global BEG reaches US$1438 billion per year. The global ECS are US$1911 billion per year. The global TTR are US$473 billion per year and compensate for only one quarter of the ECS. Within countries with the highest consumption of cigarettes, especially the USA but also Russia and Germany, the proportion of the ECS covered by the TTR is even lower, although private health expenditures have been taken into account.

CONCLUSIONS

Our findings suggest that tobacco taxes would have to be globally increased by more than four times on average in order to cover the ECS or between two and two-and-a-half times if we take private health expenditures into account. The informational pressure concerning health risks associated with smoking aimed at reducing harmful consumption and improving global health can also be supported with these economic facts.

Productivity burden of smoking in Australia: a life table modelling study

Objectives

This study aimed to examine the impact of smoking on productivity in Australia, in terms of years of life lost, quality-adjusted life years (QALYs) lost and the novel measure of productivity-adjusted life years (PALYs) lost.

Methods

Life table modelling using contemporary Australian data simulated follow-up of current smokers aged 20–69 years until age 70 years. Excess mortality, health-related quality of life decrements and relative reduction in productivity attributable to smoking were sourced from published data. The gross domestic product (GDP) per equivalent full-time (EFT) worker in Australia in 2016 was used to estimate the cost of productivity loss attributable to smoking at a population level.

Results

At present, approximately 2.5 million Australians (17.4%) aged between 20 and 69 years are smokers. Assuming follow-up of this population until the age of 70 years, more than 3.1 million years of life would be lost to smoking, as well as 6.0 million QALYs and 2.5 million PALYs. This equates to 4.2% of years of life, 9.4% QALYs and 6.0% PALYs lost among Australian working-age smokers. At an individual level, this is equivalent to 1.2 years of life, 2.4 QALYs and 1.0 PALY lost per smoker. Assuming (conservatively) that each PALY in Australia is equivalent to $A157 000 (GDP per EFT worker in 2016), the economic impact of lost productivity would amount to $A388 billion.

Conclusions

This study highlights the potential health and productivity gains that may be achieved from further tobacco control measures in Australia via application of PALYs, which are a novel, and readily estimable, measure of the impact of health and health risk factors on work productivity.

Estimating the public economic consequences of introducing varenicline smoking cessation therapy in South Korea using a fiscal analytic framework

BACKGROUND AND AIMS

Smoking gives rise to many cross-sectorial public costs and benefits for government. Costs arise from increased healthcare spending and work-related social benefits, while smoking itself provides significant revenue for government from tobacco taxes. To better understand the public economic impact of smoking and smoking cessation therapies, this study developed a government perspective framework for assessing smoking-attributable morbidity and mortality and associated public costs. This framework includes changes in lifetime tax revenue and health costs, as well as changes in tobacco tax revenue, from fewer smokers.

METHODS

A modified generational accounting framework was developed to assess relationships between smoking-attributable morbidity and mortality and public economic consequences of smoking, including lifetime tax revenue gains/losses, government social transfers, and health spending. Based on the current prevalence of smoking in South Korean males, a cohort model was developed for smokers, former-smokers, and never-smokers. The model simulated the lifetime discounted fiscal transfers for different age cohorts in 5 year age bands, and the return on investment (ROI) from smoking cessation therapy.

RESULTS

Former smokers are estimated to generate higher lifetime earnings and direct tax revenues and lower lifetime healthcare costs due to the reduction of smoking-attributable mortality and morbidity compared to smokers, even after accounting for reduced tobacco taxes paid. Based on the costs of public investments in varenicline, this study estimated a ROI from 1.4-1.7, depending on treatment age, with higher ROI in younger cohorts, with an average ROI of 1.6 for those aged less than 65.

CONCLUSIONS

This analysis suggests that reductions in smoking can generate positive public economic benefits for government, even after accounting for lost tobacco tax revenues. The results described here are likely applicable to countries having similar underlying smoking prevalence, comparable taxation rates, and social benefit protection provided to individuals with smoking-related conditions.

Fiscal Impact of Smoking Cessation in Thailand: A Government Perspective Cost-Benefit Analysis

We evaluate the broader public economic consequences of investments in smoking cessation that change lifetime productivity, which can influence future government tax revenue and social transfer costs and health care spending. The analysis applies a government perspective framework for assessing the intergenerational relationships between morbidity and mortality and lifetime tax revenue and social transfers received. Applying smoking prevalence in Thailand, a cohort model was developed for smoker and former smokers to estimate impact on lifetime direct taxes and tobacco taxes paid. Age-specific earnings for males and wage appropriate tax rates were applied to estimate net taxes for smokers and former smokers. Introducing smoking cessation leads to lifetime public economic benefits of THB13 998 to THB43 356 per person depending on the age of introducing smoking cessation. Factoring in the costs of smoking cessation therapy, an average return on investment of 1.35 was obtained indicating fiscal surplus generated for government from the combined effect of increased tax revenues and of averting smoking-attributable health care costs.

Smoking Cessation Is Associated With Lower Indirect Costs

Objective:

This study quantified differences in indirect costs due to decreased work productivity between current and former smokers. Former smokers were further categorized by number of years since quitting to assess corresponding differences.

Methods:

Data on employed individuals were obtained from the 2013 US National Health and Wellness Survey (NHWS; N = 75,000). Indirect costs were calculated for current smokers and former smokers from weekly wages based on age and sex.

Results:

The annual total indirect costs for current smokers were $1327.53, $1560.18, and $1839.87 higher than for those who quit 0 to 4 years, 5 to 10 years, and more than or equal to 11 years prior, respectively. There were no significant differences in mean total indirect costs between the former smoker groups.

Conclusions:

Current smokers showed significantly higher total annual indirect costs compared with former smokers, independently of the number of years since quitting smoking.

Reducing Smoking in the US Federal Workforce: 5-Year Health and Economic Impacts From Improved Cardiovascular Disease Outcomes

OBJECTIVE

We estimated the reduction in number of hospitalizations for acute myocardial infarction and stroke as well as the associated health care costs resulting from reducing the number of smokers in the US federal workforce during a 5-year period.

METHODS

We developed a 5-year spreadsheet-based cohort model with parameter values from past literature and analysis of national survey data. We obtained 2015 data on the federal workforce population from the US Office of Personnel Management and data on smoking prevalence among federal workers from the 2013-2015 National Health Interview Survey. We adjusted medical costs and productivity losses for inflation to 2015 US dollars, and we updated future productivity losses for growth. Because of uncertainty about the achievable reduction in smoking prevalence and input values (eg, relative risk for acute myocardial infarction and stroke, medical costs, and absenteeism), we performed a Monte Carlo simulation and sensitivity analysis.

RESULTS

We estimated smoking prevalence in the federal workforce to be 13%. A 5 percentage-point reduction in smoking prevalence could result in 1106 fewer hospitalizations for acute myocardial infarction (range, 925-1293), 799 fewer hospitalizations for stroke (range, 530-1091), and 493 fewer deaths (range, 494-598) during a 5-year period. Similarly, estimated costs averted would be $59 million (range, $49-$63 million) for medical costs, $332 million (range, $173-$490 million) for absenteeism, and $117 million (range, $93-$142 million) for productivity.

CONCLUSION

Reductions in the prevalence of smoking in the federal workforce could substantially reduce the number of hospitalizations for acute myocardial infarction and stroke, lower medical costs, and improve productivity.

Factors associated with work productivity among people with COPD: Birmingham COPD Cohort

BACKGROUND

Patients with chronic obstructive pulmonary disease (COPD) are more likely to take time off work (absenteeism) and report poor performance at work (presenteeism) compared to those without COPD. Little is known about the modifiable factors associated with these work productivity outcomes.

AIM

To assess the factors associated with work productivity among COPD patients.

METHODS

Cross-sectional analysis of baseline data from a subsample (those in paid employment) of the Birmingham COPD Cohort study. Absenteeism was defined by self-report over the previous 12 months. Presenteeism was assessed using the Stanford Presenteeism Scale. Logistic regression analysis was used to assess the effects of sociodemographic, clinical and occupational characteristics on work productivity.

RESULTS

Among 348 included participants, increasing dyspnoea was the only factor associated with both absenteeism and presenteeism (p for trend<0.01). Additionally, increasing history of occupational exposure to vapours, gases, dusts or fumes (VGDF) was independently associated with presenteeism (p for trend<0.01).

CONCLUSIONS

This is the first study to identify important factors associated with poor work productivity among patients with COPD. Future studies should evaluate interventions aimed at managing breathlessness and reducing occupational exposures to VGDF on work productivity among patients with COPD.

Prevalence of presenteeism among workers of an industrial company

BACKGROUND

Attending work when sick for fear of losing the job is common among workers. Presenteeism is a rising problem, which has called the attention of researchers from different fields; being difficult to notice, it also raised concerns among managers.

OBJECTIVE

To establish the prevalence of presenteeism at a food industrial company.

METHOD

Cross-sectional epidemiological study conducted with 1,224 workers, with application of Stanford Presenteeism Scale (SPS-6) as method to investigate presenteeism.

RESULTS

Presenteeism was adopted by 30.6% of the analyzed workers along the previous 12 months. The prevalence of presenteeism detected through SPS-6 was 50.9% for the full sample. Significant association was found between presenteeism and sedentarism, overweight and some self-reported symptoms.

CONCLUSION

The detected high prevalence of presenteeism and its association with sedentary lifestyle and musculoskeletal symptoms confirm the relevance of presenteeism and its negative impact on the health of workers.

Benefits of quitting smoking on work productivity and activity impairment in the United States, the European Union and China

BACKGROUND

Smoking has important health and economic consequences for individuals and society. This study expands the understanding of work-related burden associated with smoking and benefit of smoking cessation across the US, European Union (EU) and China using large-scale, representative survey methodology.

METHODS

Data utilised the 2013 National Health and Wellness Survey in United States (US), EU5 (UK, France, Germany, Italy, and Spain) and China. Working-aged respondents 18-64 were used in the analyses (US N=58 500; EU5 N=50 417; China N=17 987) and were categorised into: current smokers, trying to quit, former smokers and never smokers. Generalised linear models controlling for demographics and health characteristics examined the relationship of smoking status with work productivity and activity impairment (WPAI-GH). The WPAI-GH measures were: absenteeism, presenteeism, overall work impairment, and activity impairment. Separately, current smokers were compared with those who quit 0-4, 5-10 and 11 or more years ago on WPAI-GH end-points.

RESULTS

Current smokers reported greater absenteeism in the US and China and greater presenteeism, overall work impairment, and activity impairment than former and never smokers across the three regions. Those who quit even 0-4 years ago demonstrated lower absenteeism, presenteeism, and activity impairment in China and lower presenteeism, overall work impairment, and activity impairment in the US and EU5.

CONCLUSIONS

Smoking was associated with significant work productivity loss in the US, EU5 and China. The results suggest that quitting benefits extend to work productivity rapidly after cessation, serving to further encourage and promote the implementation of workplace cessation programs.

Productivity losses associated with cardiovascular disease: a systematic review

INTRODUCTION

People with cardiovascular disease (CVD) often require time off work to recover from illness or surgery; for example, following a myocardial infarction (MI) or stroke. These individuals incur income losses, work-related productivity is reduced for employers, and output is reduced for the wider economy. Productivity impacts to the economy also arise due to CVD-related mortality. Areas covered: A systematic literature review was conducted to identify and collate studies that report the magnitude of work-related productivity losses associated with CVD generally or specific cardiovascular (CV) events or conditions (coronary heart disease, MI, stroke, transient ischemic attack, angina, heart failure, peripheral artery disease, coronary revascularization). The search was conducted using Medline, Embase, the Cochrane Library, and Google to find studies published from January 2004 to January 2015. In total, 60 studies were identified, including 20 studies conducted in the USA, 25 studies conducted in Europe, and 18 studies conducted in other countries (three studies were conducted in multiple regions). The studies differed by the scope of losses assessed (absenteeism, presenteeism, early retirement, premature mortality) and CVD conditions/events included. Studies reported either average patient or population losses, and generally used a human capital rather than friction cost method. Outcomes were standardized and adjusted to 2015 US dollars where possible. Expert commentary: The review demonstrates that CVD imposes substantial morbidity- and mortality-related productivity costs. The studies identified in the review may be used to inform and populate societal economic evaluations in CVD, with the most appropriate source study being that most closely matching the context of the evaluation.

Absenteeism and Employer Costs Associated With Chronic Diseases and Health Risk Factors in the US Workforce

INTRODUCTION

Employers may incur costs related to absenteeism among employees who have chronic diseases or unhealthy behaviors. We examined the association between employee absenteeism and 5 conditions: 3 risk factors (smoking, physical inactivity, and obesity) and 2 chronic diseases (hypertension and diabetes).

METHODS

We identified 5 chronic diseases or risk factors from 2 data sources: MarketScan Health Risk Assessment and the Medical Expenditure Panel Survey (MEPS). Absenteeism was measured as the number of workdays missed because of sickness or injury. We used zero-inflated Poisson regression to estimate excess absenteeism as the difference in the number of days missed from work by those who reported having a risk factor or chronic disease and those who did not. Covariates included demographics (eg, age, education, sex) and employment variables (eg, industry, union membership). We quantified absenteeism costs in 2011 and adjusted them to reflect growth in employment costs to 2015 dollars. Finally, we estimated absenteeism costs for a hypothetical small employer (100 employees) and a hypothetical large employer (1,000 employees).

RESULTS

Absenteeism estimates ranged from 1 to 2 days per individual per year depending on the risk factor or chronic disease. Except for the physical inactivity and obesity estimates, disease- and risk-factor-specific estimates were similar in MEPS and MarketScan. Absenteeism increased with the number of risk factors or diseases reported. Nationally, each risk factor or disease was associated with annual absenteeism costs greater than $2 billion. Absenteeism costs ranged from $16 to $81 (small employer) and $17 to $286 (large employer) per employee per year.

CONCLUSION

Absenteeism costs associated with chronic diseases and health risk factors can be substantial. Employers may incur these costs through lower productivity, and employees could incur costs through lower wages.

Impact of a Health Promotion Program on Employee Health Risks and Work Productivity

Purpose.

Evaluate the impact of a multicomponent workplace health promotion program on employee health risks and work productivity.

Design.

Quasi-experimental 12-month before-after intervention-control study.

Setting.

A multinational corporation headquartered in the United Kingdom.

Subjects.

Of 618 employees offered the program, 266 (43%) completed questionnaires before and after the program. A total of 1242 of 2500 (49.7%) of a control population also completed questionnaires 12 months apart.

Intervention.

A multicomponent health promotion program incorporating a health risk appraisal questionnaire, access to a tailored health improvement web portal, wellness literature, and seminars and workshops focused upon identified wellness issues.

Measures.

Outcomes were (1) cumulative count of health risk factors and the World Health Organization health and work performance questionnaire measures of (2) workplace absenteeism and (3) work performance.

Results.

After adjusting for baseline differences, improvements in all three outcomes were significantly greater in the intervention group compared with the control group. Mean excess reductions of 0.45 health risk factors and 0.36 monthly absenteeism days and a mean increase of 0.79 on the work performance scale were observed in the intervention group compared with the control group. The intervention yielded a positive return on investment, even using conservative assumptions about effect size estimation.

Conclusion.

The results suggest that a well-implemented multicomponent workplace health promotion program can produce sizeable changes in health risks and productivity.

Obesity, diet quality and absenteeism in a working population

Objective

The relationship between workplace absenteeism and adverse lifestyle factors (smoking, physical inactivity and poor dietary patterns) remains ambiguous. Reliance on self-reported absenteeism and obesity measures may contribute to this uncertainty. Using objective absenteeism and health status measures, the present study aimed to investigate what health status outcomes and lifestyle factors influence workplace absenteeism.

Design

Cross-sectional data were obtained from a complex workplace dietary intervention trial, the Food Choice at Work Study.

Setting

Four multinational manufacturing workplaces in Cork, Republic of Ireland.

Subjects

Participants included 540 randomly selected employees from the four workplaces. Annual count absenteeism data were collected. Physical assessments included objective health status measures (BMI, midway waist circumference and blood pressure). FFQ measured diet quality from which DASH (Dietary Approaches to Stop Hypertension) scores were constructed. A zero-inflated negative binomial (zinb) regression model examined associations between health status outcomes, lifestyle characteristics and absenteeism.

Results

The mean number of absences was 2·5 (sd 4·5) d. After controlling for sociodemographic and lifestyle characteristics, the zinb model indicated that absenteeism was positively associated with central obesity, increasing expected absence rate by 72 %. Consuming a high-quality diet and engaging in moderate levels of physical activity were negatively associated with absenteeism and reduced expected frequency by 50 % and 36 %, respectively. Being in a managerial/supervisory position also reduced expected frequency by 50 %.

Conclusions

To reduce absenteeism, workplace health promotion policies should incorporate recommendations designed to prevent and manage excess weight, improve diet quality and increase physical activity levels of employees.

Factors influencing cigarette smoking among soldiers and costs of soldier smoking in the work place at Kakiri Barracks, Uganda

BACKGROUND

Although Uganda has a relatively low prevalence of smoking, no data exists on cigarette use among military personnel. Studies in other countries suggests military service is a risk factor for tobacco use.

OBJECTIVES

To assess prevalence and risk factors for and costs of smoking among military personnel assigned to a large military facility in Uganda.

DESIGN

A mixed methods study including focus groups, interviews and a cross-sectional survey of military personnel.

SETTING

Kakiri Barracks, Uganda.

SUBJECTS

Key informants and focus group participants were purposively selected based on the objectives of the study, military rank and job categories. A multistage sample design was used to survey individuals serving in Uganda People's Defense Forces (UPDF) from June to November 2014 for the survey (n=310).

RESULTS

Participants in the qualitative portion of the study reported that smoking was harmful to health and the national economy and that its use was increasing among UPDF personnel. Survey results suggested that smoking rates in the military were substantially higher than in the general public (ie, 34.8% vs 5.3%). Significant predictors of smoking included lower education, younger age, having close friends who smoked and a history of military deployment. Estimated costs of smoking due to lost productivity was US$576 229 and US$212 400 for excess healthcare costs.

CONCLUSIONS

Smoking rates are substantially higher in the UPDF compared to the general public and results in significant productivity costs. Interventions designed to reduce smoking among UPDF personnel should be included in the country's national tobacco control plan.

Likelihood of Unemployed Smokers vs Nonsmokers Attaining Reemployment in a One-Year Observational Study

IMPORTANCE

Studies in the United States and Europe have found higher smoking prevalence among unemployed job seekers relative to employed workers. While consistent, the extant epidemiologic investigations of smoking and work status have been cross-sectional, leaving it underdetermined whether tobacco use is a cause or effect of unemployment.

OBJECTIVE

To examine differences in reemployment by smoking status in a 12-month period.

DESIGN, SETTING, AND PARTICIPANTS

An observational 2-group study was conducted from September 10, 2013, to August 15, 2015, in employment service settings in the San Francisco Bay Area (California). Participants were 131 daily smokers and 120 nonsmokers, all of whom were unemployed job seekers. Owing to the study's observational design, a propensity score analysis was conducted using inverse probability weighting with trimmed observations. Including covariates of time out of work, age, education, race/ethnicity, and perceived health status as predictors of smoking status.

MAIN OUTCOMES AND MEASURES

Reemployment at 12-month follow-up.

RESULTS

Of the 251 study participants, 165 (65.7) were men, with a mean (SD) age of 48 (11) years; 96 participants were white (38.2%), 90 were black (35.9%), 24 were Hispanic (9.6%), 18 were Asian (7.2%), and 23 were multiracial or other race (9.2%); 78 had a college degree (31.1%), 99 were unstably housed (39.4%), 70 lacked reliable transportation (27.9%), 52 had a criminal history (20.7%), and 72 had received prior treatment for alcohol or drug use (28.7%). Smokers consumed a mean (SD) of 13.5 (8.2) cigarettes per day at baseline. At 12-month follow-up (217 participants retained [86.5%]), 60 of 108 nonsmokers (55.6%) were reemployed compared with 29 of 109 smokers (26.6%) (unadjusted risk difference, 0.29; 95% CI, 0.15-0.42). With 6% of analysis sample observations trimmed, the estimated risk difference indicated that nonsmokers were 30% (95% CI, 12%-48%) more likely on average to be reemployed at 1 year relative to smokers. Results of a sensitivity analysis with additional covariates of sex, stable housing, reliable transportation, criminal history, and prior treatment for alcohol or drug use (25.3% of observations trimmed) reduced the difference in employment attributed to smoking status to 24% (95% CI, 7%-39%), which was still a significant difference. Among those reemployed at 1 year, the average hourly wage for smokers was significantly lower (mean [SD], $15.10 [$4.68]) than for nonsmokers (mean [SD], $20.27 [$10.54]; F(1,86) = 6.50, P = .01).

CONCLUSIONS AND RELEVANCE

To our knowledge, this is the first study to prospectively track reemployment success by smoking status. Smokers had a lower likelihood of reemployment at 1 year and were paid significantly less than nonsmokers when reemployed. Treatment of tobacco use in unemployment service settings is worth testing for increasing reemployment success and financial well-being.

Perspectives of US military commanders on tobacco use and tobacco control policy

BACKGROUND

Tobacco use among members of the US military service is unacceptably high, resulting in substantial healthcare and personnel costs. Support of military command is critical to the success of tobacco control policies because line commanders are responsible for implementation and enforcement. This study is the first to examine US military line commanders' perspectives about current tobacco control policies and the impact of tobacco on readiness.

METHODS

We conducted key-informant interviews with 20 officers at the US Army's Command and General Staff College about military tobacco use and tobacco control policy.

RESULTS

Participants identified the long-term impact of tobacco use on military members, but were unaware of proximal effects on health and readiness other than lost productivity due to smoke breaks. Officers also discussed nicotine addiction and the logistics of ensuring that an addicted population had access to tobacco. Regarding policy, most knew about regulations governing smoke-free areas and were open to stronger restrictions, but were unaware of current policies governing prevention, intervention and product sales.

CONCLUSIONS

Findings suggest that strong policy that takes advantage of the hierarchical and disciplined nature of the military, supported by senior line and civilian leadership up to and including the secretaries of the services and the Secretary of Defense, will be critical to substantially diminishing tobacco use by military personnel.

Economic Impact of Tobacco Price Increases Through Taxation: A Community Guide Systematic Review

CONTEXT

Tobacco use is a leading cause of preventable death in the U.S. and around the world. Increasing tobacco price through higher taxes is an effective intervention both to reduce tobacco use in the population and generate government revenues. The goal of this paper is to review evidence on the economic impact of tobacco price increases through taxation with a focus on the likely healthcare cost savings and improvements in employee productivity.

EVIDENCE ACQUISITION

The search covered studies published in English from January 2000 to July 2012 and included evaluations of national, state, and local policies to increase the price of any type of tobacco product by raising taxes in high-income countries. Economic review methods developed for The Guide to Community Preventive Services were used to screen and abstract included studies. Economic impact estimates were standardized to summarize the available evidence. Analyses were conducted in 2012.

EVIDENCE SYNTHESIS

The review included eight modeling studies, with seven providing estimates of the impact on healthcare costs and three providing estimates of the value of productivity gains. Only one study provided an estimate of intervention costs. The economic merit of tobacco product price increases through taxation was determined from the overall body of evidence on per capita annual cost savings from a conservative 20% price increase.

CONCLUSIONS

The evidence indicates that interventions that raise the unit price of tobacco products through taxes generate substantial healthcare cost savings and can generate additional gains from improved productivity in the workplace.

Health care costs and work absenteeism in smokers: study in an urban community

INTRODUCTION

Higher morbidity caused by smoking-related diseases could increase health costs. We analyzed differences in the use of healthcare resources, healthcare costs and days of work absenteeism among smokers and non-smokers.

METHODS

Cross-sectional study in smokers and non-smokers, aged between 45 and 74 years, from one urban health area. The variables studied were: age, sex, alcohol intake, physical activity, obesity, diseases, attendance at primary care clinics and hospital emergency rooms, days of hospitalization, prescription drug consumption and work absenteeism (in days). Annual cost according to the unit cost of each service (direct costs), and indirect costs according to the number of days missed from work was calculated. Crude and adjusted risks were calculated using logistic regression.

RESULTS

Five hundred patients were included: 50% were smokers, 74% (372) men and 26% (128) women. Smokers used more healthcare resources, consumed more prescription drugs and had more days off work than non-smokers. Respective direct and indirect costs in smokers were 848.64 euros (IQ 25-75: 332.65-1517.10) and 2253.90 euros (IQ 25-75: 1024.50-13113.60), and in non-smokers were 474.71 euros (IQ 25-75: 172.88-979.59) and 1434.30 euros (IQ 25-75: 614.70-4712.70). The likelihood of generating high healthcare costs was more than double for smokers (OR=2.14; 95% CI: 1.44-3.19).

CONCLUSION

More investment in programs for the prevention and treatment of smoking, as a health policy priority, could help to reduce the health and social costs of smoking.

Impact of school staff health on work productivity in secondary schools in Massachusetts

BACKGROUND

Healthy, productive employees are an integral part of school health programs. There have been few assessments of work productivity among secondary school staff. This study describes the frequency of 3 common health risk factors--obesity, depressive symptoms, and smoking--and their impact on work productivity in secondary school employees.

METHODS

Employees of secondary schools in Massachusetts (N = 630) participated in a longitudinal weight gain prevention intervention study. Assessment completed at baseline, 1-year and 2-year follow-up included survey assessments of health risk factors as well as measurements for height, weight, and body mass index (BMI). The survey also included a depression inventory and Work Limitations Questionnaire. Data analysis included multivariate mixed effect models to identify productivity differences in relation to BMI, depressive symptoms, and smoking in this population stratified by position type (teacher and other school staff).

RESULTS

The sample included 361 teachers and 269 other school staff. Obesity, depressive symptoms, and smoking were significantly associated with work productivity, including workdays missed because of health concerns (absenteeism) and decreases in on-the-job productivity because of health concerns (presenteeism).

CONCLUSIONS

Three common health conditions, namely obesity, depressive symptoms, and smoking, adversely affect the productivity of high school employees.

Experiences recruiting Indian worksites for an integrated health protection and health promotion randomized control trial in Maharashtra, India

This article provides an overview of the recruitment strategies utilized in the Mumbai Worksites Tobacco Control Study, a cluster randomized trial testing the effectiveness of an integrated tobacco control and occupational safety and health program in Indian manufacturing worksites. From June 2012 to June 2013, 20 companies were recruited. Companies were identified using association lists, referrals, internet searches and visits to industrial areas. Four hundred eighty companies were contacted to validate information, introduce the study and seek an in-person meeting with a company representative. Eighty-three company representatives agreed to meet. Of those 83 companies, 55 agreed to a formal 'pitch meeting' with key decision makers at the company. Seventy-seven recruitment 'pitches' were given, including multiple meetings in the same companies. If the company was interested, we obtained a letter of participation and employee roster. Based on this experience, recommendations are made that can help inform future researchers and practitioners wishing to recruit Indian worksites. When compared with recruitment of US manufacturing worksites, recruitment of Indian worksites lacked current industrial lists of companies to serve as a sampling frame, and required more in-person visits, incentives for control companies and more assurances around confidentiality to allow occupational safety and health experts into their worksite.

The health and economic consequences of cigarette smoking in Alabama, 2009-2010

While CDC reports on the health and economic burden of smoking in the United States, state-specific data are not readily available. We estimated the health and economic consequences of cigarette smoking in Alabama to provide the state legislature with the state-specific data that reveal the direct impact of smoking on their constituents. We estimated that in 2009, almost 7,900 adult deaths (18% of all adult deaths) and approximately 121,000 years of potential life lost among Alabama adults aged 35 years and older were attributable to cigarette smoking. Productivity losses due to premature death and smoking-attributable illness were estimated at $2.84 billion and $941 million, respectively. Our findings support a strong need for tobacco control and prevention programs to decrease the health and economic burden of smoking in Alabama. These results are being used by the State Health Officer to illustrate the real costs of smoking in Alabama and to advocate for improved tobacco control policies.

Burden of smoking on quality of life in patients with chronic obstructive pulmonary disease

The objective of this study was to assess the impact of smoking on health-related quality of life, Work Productivity and Activity Impairment (WPAI) in chronic obstructive pulmonary disease (COPD) patients. Respondents of the 2009/2010 US National Health and Wellness Survey (NHWS), aged ≥ 40 years, with COPD, chronic bronchitis or emphysema, were included in the study. Current and former (had not smoked for ≥ 11 years) smokers were compared. Physical component summary (PCS) and mental component summary (MCS) scores from the Short Form-12 version 2 (SF-12v2), health utilities (SF-6D) and WPAI were evaluated. Differences between current (n = 1685) and former (n = 1932) smokers were revealed: MCS (44.80, 46.73; p < 0.01); PCS (35.12, 35.79; p < 0.1); SF-6D (0.63, 0.65; p < 0.05). WPAI: presenteeism (23%, 18%; p < 0.05); work impairment (25%, 21%; p < 0.05); activity impairment (52%, 49%; p < 0.01). In conclusion, COPD patients who smoke have poorer health-related quality of life, impaired productivity and higher healthcare costs than former smokers.

Smoking cessation and attempted cessation among adults in the United States

AIMS

With growing recognition of stagnant rates of attempted cigarette smoking cessation, the current study examined demographic and psychometric characteristics associated with successful and attempted smoking cessation in a nationally representative sample. This additional understanding may help target tobacco cessation treatments toward sub-groups of smokers in order to increase attempts to quit smoking.

DESIGN, SETTING, AND PARTICIPANTS

Data were used from the 2011 U.S. National Health and Wellness Survey (n = 50,000).

MEASUREMENTS

Current smoking status and demographics, health characteristics, comorbidities, and health behaviors.

FINDINGS

In 2011, 18%, 29%, and 52% of U.S. adults were current, former, or never smokers, respectively. Over one quarter (27%) of current smokers were attempting to quit. Current smokers (vs. others) were significantly more likely to be poorer, non-Hispanic White, less educated, ages 45-64, and uninsured, and they had fewer health-conscious behaviors (e.g., influenza vaccination, exercise). Attempting quitters vs. current smokers were significantly less likely to be non-Hispanic White and more likely to be younger, educated, insured, non-obese, with family history of chronic obstructive pulmonary disease, and they had more health-conscious behaviors.

CONCLUSIONS

Smokers, attempting quitters, and successful quitters differ on characteristics that may be useful for targeting and personalizing interventions aiming to increase cessation attempts, likelihood, and sustainability.

The association of smoking with medical treatment adherence in the workforce of a large employer

PURPOSE

Prior descriptive epidemiology studies have shown that smokers have lower compliance rates with preventive care services and lower chronic medication adherence rates for preventive care services in separate studies. The goal of this study was to perform a more detailed analysis to validate both of these findings for current smokers versus nonsmokers within the benefit-covered population of a large US employer.

PATIENTS AND METHODS

This study involved the analysis of incurred medical and pharmacy claims for employee and spouse health plan enrollees of a single US-based employer during 2010. Multivariate regression models were used to compare data by active or never-smoker status for preventive care services and medication adherence for chronic conditions. Analysis controlled for demographic variables, chronic condition prevalence, and depression.

RESULTS

Controlling for demographic variables and comorbid conditions, smokers had significantly lower cancer screening rates, with absolute reductions of 6%-13%. Adherence to chronic medication use for hypertension was also significantly lower among smokers, with nearly 7% fewer smokers having a medication possession ratio of ≥80%. Smokers were less adherent to depression medications (relative risk =0.79) than nonsmokers (P=0.10). While not statistically significant, smokers were consistently less adherent to all other medications than nonsmokers.

CONCLUSION

Current smokers are less compliant with recommended preventive care and medication use than nonsmokers, likely contributing to smoking-related employer costs. Awareness of these care gaps among smokers and direct management should be considered as part of a comprehensive population health-management strategy.