Smoking and absence from work: systematic review and meta-analysis of occupational studies

Incorporating Lifestyle Medicine Into Occupational Medicine Practice: ACOEM Guidance Statement

ABSTRACT

Lifestyle medicine (LM) utilizes evidence-based therapeutic lifestyle changes to address lifestyle factors that impact health, performance, and injury risk and recovery. By integrating LM principles into clinical care, workplace policies, and programs, along with other evidence-based methods, occupational and environmental medicine clinicians and medical directors can enhance worker health and performance, manage chronic disease, and facilitate faster recovery from injury and illness. This guidance addresses approaches that can be used in the clinic and workplace to address tobacco, substance misuse, nutrition, physical activity, overweight/obesity, sleep, mental well-being, and social connectedness.

Sex differences in age-varying trends of depressive symptoms, substance use, and their associations among South Korean adults: A Time-Varying Effect Modeling (TVEM) analysis of a nationwide sample

BACKGROUND

This study investigated sex differences in the age-varying trends of depressive symptoms, substance use, and their relationships throughout the adult lifespan. Using a nationwide sample from South Korea, this study aimed to confirm existing patterns and identify unique characteristics specific to the South Korean context.

METHOD

Time-Varying Effect Modeling (TVEM) was applied to data from 17,484 participants (9987 women and 7497 men) in the Korea National Health and Nutrition Examination Survey.

RESULTS

Consistent with global trends, the results revealed a higher prevalence of depressive symptoms among women and a greater prevalence of substance use among men. However, the findings also illuminated unique patterns within the South Korean context. Substance use among South Korean men peaked during their 40s, whereas South Korean women consistently exhibited lower rates of substance use. Additionally, a stronger association between depressive symptoms and substance use was identified in women compared to men.

LIMITATIONS

The study used cross-sectional data, limiting the analysis of temporal dynamics between depressive symptoms and substance use. Additionally, TVEM cannot distinguish between aging and cohort effects. Furthermore, the assessments of depressive symptoms and substance use were based on self-report. Finally, the study did not include adolescents or sex and gender minorities in its sample.

CONCLUSIONS

These results emphasize the need for targeted interventions, particularly among women in their 20s and older adulthood, where there is a heightened co-occurrence of depressive symptoms and substance use. These findings also highlight the importance of sex- and culture-sensitive approaches tailored to the South Korean context.

Employment Characteristics and Tobacco Product Use, U.S., 2021

INTRODUCTION

Over 30 million U.S. working adults use tobacco, and tobacco use varies by occupation. Limited information is available on employment characteristics and tobacco use prevalence. The purpose of this study was to describe the prevalence of current tobacco use by employment characteristics and occupation group among U.S. working adults.

METHODS

This cross-sectional study used 2021 National Health Interview Survey data for currently working adults (n=16,461) analyzed in 2023. Multivariable logistic regression was used to estimate adjusted odds of tobacco use by employment characteristics and occupation group.

RESULTS

In 2021, 20.0% of working adults used tobacco. Any tobacco use was significantly lower among workers who were offered workplace health insurance (AOR=0.86, 95% CI=0.77-0.97), had paid sick leave (AOR=0.81, 95% CI=0.73-0.91), and government versus private employment (AOR=0.61, 95% CI=0.52-0.70). Any tobacco use was significantly higher among workers who usually worked ≥35 hours per week versus did not usually work ≥35 hours per week (AOR=1.21, 95% CI=1.06-1.39), worked a rotating or "some other" shift versus daytime shift (AOR=1.19, 95% CI=1.02-1.38), experienced schedule instability (AOR=1.17, 95% CI=1.03-1.31), and worked while physically ill in the past 3 months (AOR=1.25, 95% CI=1.11-1.41). Tobacco use by employment characteristics also varied by occupation group.

CONCLUSIONS

Current tobacco use varied according to employment characteristics and occupation group. Findings from this study could inform workplace tobacco cessation interventions and policies (e.g., access to paid sick leave or insurance coverage) to better support tobacco cessation and overall worker health.

Productivity costs of lifelong smoking-the Northern Finland Birth Cohort 1966 study

BACKGROUND

Smoking is one of the leading causes of impaired health and mortality. Loss of paid and unpaid work and replacements due to morbidity and mortality result in productivity costs. Our aim was to investigate the productivity costs of lifelong smoking trajectories and cumulative exposure using advanced human capital method (HCM) and friction cost method (FCM).

METHODS

Within the Northern Finland Birth Cohort 1966 (NFBC1966), 10 650 persons were followed from antenatal period to age 55 years. The life course of smoking behaviour was assessed with trajectory modelling and cumulative exposure with pack-years. Productivity costs were estimated with advanced HCM and FCM models by using detailed, national register-based data on care, disability, mortality, education, taxation, occupation and labour market. A two-part regression model was used to predict productivity costs associated with lifelong smoking and cumulative exposure.

RESULTS

Of the six distinct smoking trajectories, lifetime smokers had the highest productivity costs followed by late starters, late adult quitters, young adult quitters and youth smokers. Never-smokers had the lowest productivity costs. The higher the number of pack-years, the higher the productivity costs. Uniform patterns were found in both men and women and when estimated with HCM and FCM. The findings were independent of other health behaviours.

CONCLUSIONS

Cumulative exposure to smoking is more crucial to productivity costs than starting or ending age of smoking. This suggests that the harmful effects of smoking depend on dose and duration of smoking and are irrespective of age when smoking occurred.

Patients' Readiness Towards Teledentistry in the Malaysian Urban Population Attending an Undergraduate Teaching University

Introduction: COVID-19 disease has resulted in suspension of all nonurgent routine dental treatments. In view of COVID-19 situation, social distancing, movement restriction orders, and affected health care systems, there is an urgent need to resume and deliver oral health care remotely. Hence, alternative means of dental care should be available for both patients and dentists. Therefore, this study aims to assess patients' readiness for teledentistry in Malaysian urban population attending an undergraduate teaching university. Methods: A cross-sectional study was conducted among 631 adult patients visiting the Faculty of Dentistry, SEGi University, from January 2020 to May 2021 in Selangor, Malaysia. A validated, self-administered, 5-point Likert scale online questionnaire comprising five domains was administered. (1) Patients' demographics and dental history, (2) patients' access to teledentistry, (3) patients' understanding towards teledentistry, (4) patients' willingness, and (5) barriers in using teledentistry were used to collect the required information. Results: Six hundred and thirty-one (n = 631) participants responded to the questionnaire. Ninety percent of patients were able to connect to Wi-Fi services independently and 77% participants were comfortable using online communication platforms. Seventy-one percent of the participants agreed that video and telephone clinics can reduce chances of infection rather than face-to-face consultation during the pandemic. Fifty-five percent of patients felt that virtual clinics would save time and 60% thought it could reduce travelling costs. Fifty-one percent showed their willingness to use video or telephone clinics when implemented at onsite clinics. Conclusion: Our study shows the readiness of patients to accept teledentistry as an alternative method of oral care if appropriate training and education are provided. The results of this study have prompted an increase in patients' education and shown a need to train clinicians and patients to integrate this technology at SEGi University. This might facilitate unhindered dental consultation and care in all situations.

Impact of health risk factors on healthcare resource utilization, work-related outcomes and health-related quality of life of Australians: a population-based longitudinal data analysis

Background

Health risk factors, including smoking, excessive alcohol consumption, overweight, obesity, and insufficient physical activity, are major contributors to many poor health conditions. This study aimed to assess the impact of health risk factors on healthcare resource utilization, work-related outcomes and health-related quality of life (HRQoL) in Australia.

Methods

We used two waves of the nationally representative Household, Income, and Labor Dynamics in Australia (HILDA) Survey from 2013 and 2017 for the analysis. Healthcare resource utilization included outpatient visits, hospitalisations, and prescribed medication use. Work-related outcomes were assessed through employment status and sick leave. HRQoL was assessed using the SF-6D scores. Generalized estimating equation (GEE) with logit or log link function and random-effects regression models were used to analyse the longitudinal data on the relationship between health risk factors and the outcomes. The models were adjusted for age, sex, marital status, education background, employment status, equilibrium household income, residential area, country of birth, indigenous status, and socio-economic status.

Results

After adjusting for all other health risk factors covariates, physical inactivity had the greatest impact on healthcare resource utilization, work-related outcomes, and HRQoL. Physical inactivity increased the likelihood of outpatient visits (AOR = 1.60, 95% CI = 1.45, 1.76 p < 0.001), hospitalization (AOR = 1.83, 95% CI = 1.66-2.01, p < 0.001), and the probability of taking sick leave (AOR = 1.31, 95% CI = 1.21-1.41, p < 0.001), and decreased the odds of having an above population median HRQoL (AOR = 0.48, 95% CI = 0.45-0.51, p < 0.001) after adjusting for all other health risk factors and covariates. Obesity had the greatest impact on medication use (AOR = 2.02, 95% CI = 1.97-2.29, p < 0.001) after adjusting for all other health risk factors and covariates.

Conclusion

Our study contributed to the growing body of literature on the relative impact of health risk factors for healthcare resource utilization, work-related outcomes and HRQoL. Our results suggested that public health interventions aim at improving these risk factors, particularly physical inactivity and obesity, can offer substantial benefits, not only for healthcare resource utilization but also for productivity.

Who Hurt You at Work? Results From a Nationwide Survey of Association Between Absenteeism and Workplace Violence, Stratified by Perpetrator

OBJECTIVE

This study aimed to determine the association between workplace violence and sickness absenteeism.

METHODS

We analyzed the data from the fifth and sixth waves of the Korean Working Conditions Surveys. Individuals younger than 18 years and self-employed or unpaid family workers were excluded. Descriptive statistics, χ 2 tests, and multiple logistic regression analysis were conducted.

RESULTS

After adjusting for sociodemographic, occupational, and job-related characteristics, we found that the workers who had experienced workplace violence had higher rates of sickness absenteeism, especially when the perpetrator of violence was a coworker.

CONCLUSIONS

Daily contact with the perpetrator at the workplace can cause distress and recollection of painful memories; thus, the aftermath of being harassed inside the workplace can be even more devastating than the event itself. A sensitive approach to recognizing the perpetrators of violence is needed.

Impact of Smoking Status and Nicotine Dependence on Academic Performance of Health Sciences Students

Background

Smoking behavior has been associated with poor academic performance among adult students worldwide. However, the detrimental effect of nicotine dependence on several students' academic achievement indicators is still unclear. This study aims to assess the impact of smoking status and nicotine dependence on grade point average (GPA), absenteeism rate and academic warnings among undergraduate health sciences students in Saudi Arabia.

Methods

A validated cross-sectional survey was conducted, in which, participants responded to questions evaluated cigarette consumption, urge to consume and dependency, learning performance, days of absentees, and academic warnings.

Results

A total of 501 students from different health specialties have completed the survey. Of whom, 66% were male, 95% ranging between the age of 18-30 years old, and 81% reported no health issues or chronic diseases. Current smokers estimated to be 30% of the respondents, of which 36% revealed smoking history of 2-3 years. The prevalence of nicotine dependency (high to extremely high) was 50%. Overall, smokers had significantly lower GPA, higher absenteeism rate, and higher number of academic warnings when compared to nonsmokers (p<0.001). Heavy smokers demonstrated significantly less GPA (p=0.036), higher days of absences (p=0.017), and more academic warnings (p=0.021) compared to light smokers. The linear regression model indicated a significant association between smoking history (increased pack-per-year) and poor GPA (p=0.01) and increased number of academic warning last semester (p=0.01), while increased cigarette consumption was substantially linked with higher academic warnings (p=0.002), lower GPA (p=0.01), and higher absenteeism rate for last semester (p=0.01).

Conclusion

Smoking status and nicotine dependence were predictive of worsening academic performance, including lower GPA, higher absenteeism rate and academic warnings. In addition, there is a substantial and unfavorable dose-response association between smoking history and cigarette consumption with impaired academic performance indicators.

Lottery incentives for smoking cessation at the workplace: design and protocol of the smoke-free lottery - a cluster randomized trial

BACKGROUND

Smoking is the leading behavioral risk factor for the loss of healthy life years. Many smokers want to quit, but have trouble doing so. Financial incentives in workplace settings have shown promising results in supporting smokers and their design influences their impact. Lotteries that leverage behavioral economic insights might improve the effectiveness of workplace cessation support.

METHODS AND DESIGN

We examine in a cluster randomized trial if a workplace cessation group training paired with lottery deadlines will increase continuous abstinence rates over and above the cessation training alone. Organizations are randomized to either the control arm or lottery arm. The lotteries capitalize regret aversion by always informing winners at the deadline, but withholding prizes if they smoked. In the lottery-arm, winners are drawn out of all participants within a training group, regardless of their smoking status. In weeks 1-13 there are weekly lotteries. Winners are informed about their prize (€50), but can only claim it if they did not smoke that week, validated biochemically. After 26 weeks, there is a long-term lottery where the winners are informed about their prize (vacation voucher worth €400), but can only claim it if they were abstinent between weeks 13 and 26. The primary outcome is continuous abstinence 52 weeks after the quit date.

DISCUSSION

There is a quest for incentives to support smoking cessation that are considered fair, affordable and effective across different socioeconomic groups. Previous use of behavioral economics in the design of lotteries have shown promising results in changing health behavior. This cluster randomized trial aims to demonstrate if these lotteries are also effective for supporting smoking cessation. Therefore the study design and protocol are described in detail in this paper. Findings might contribute to the application and development of effective cessation support at the workplace.

TRIAL REGISTRATION

Netherlands Trial Register Identifier: NL8463 . Date of registration: 17-03-2020.

Liens entre le statut tabagique et la situation vis-à-vis de l’emploi : analyse transversale de la cohorte CONSTANCES

This study aims to estimate the prevalence of tobacco use in 2017 and 2019 in the French population covered by the Régime Général d'Assurance Maladie according to employment status. From the French national CONSTANCES cohort, 18,008 randomly recruited volunteers aged between 18 and 69 years, affiliated to the Régime Général d'Assurance Maladie and enrolled in 2017, were included in the analysis. The prevalence of tobacco use according to employment status was estimated. Estimates of these prevalence data were calculated in 2017 and 2019 after correction for selection bias at inclusion and non-response at follow-up. In 2019, smoking prevalence was higher among unemployed people (29.2% among men and 20.7% among women) than among employed people (16.5% among men and 13.8% among women). Smoking prevalence was highest among those not in work for health reasons (38.5% among men and 35.8% among women). Smokers were more likely to be unemployed than non-smokers (OR 2.63 [95% confidence interval (CI): 1.79; 3.85] in men and OR 1.55 [95% CI: 1.08; 2.22] in women). Among men, the prevalence of employed people among light smokers (<10 cigarettes/day) significantly decreased between 2017 (87.1%) and 2019 (74.8%). These results underline the importance of reinforcing smoking prevention campaigns among the unemployed, particularly for health reasons.

Occupational disease predictors in the nickel pyrometallurgical production: a prospective cohort observation

Background

Pyrometallurgical nickel production exposes workers to a wide range of occupational risk factors, including nickel aerosol, occupational noise and heat, but occupational (compensation) claims do not get enough attention in the literature. We, therefore, aimed to identify and analyze new occupational disease predictors in order to tailor prevention measures in the nickel pyrometallurgical production workers.

Methods

In a prospective observational study, a cohort of workers grouped in 16 occupations (N = 1424, 88% males, median age 39 (interquartile range (IQR) 31–47 years)), was fixed in 2007 at a large nickel production plant in the Russian High North. We then followed the cohort until 2021 and analyzed the association of selected predictors, including exposure to nickel and occupational group, with the risk of an occupational (compensation) claim in a Cox regression analysis.

Results

With 18,843 person-years of observation, occupational disease claims were confirmed in 129 workers (9% of the initial cohort, N = 108 men (84%)). Top three diagnoses were chronic bronchitis (3.81 cases/1000 workers/year), sensorineural deafness (2.36 cases/1000 workers /year) and musculoskeletal disorders (1.90 cases/1000 workers/year). Smoking was significantly associated with each diagnosis (adjusted hazard ratio (HR) ranged from 2.56 (95% confidence interval (CI) 1.17–5.57) for bronchitis to 6.69 (95% CI 1.46–30.64) for chronic obstructive pulmonary disease (COPD)). High nickel exposure was associated with occupational bronchitis and occupational asthma, whereas associations of occupational groups were also identified for COPD, asthma and musculoskeletal disorders.

Conclusion

Smoking, high exposure to nickel and specific exposure in the occupational groups increase the risk of occupational disease claims and should be prioritized directions for targeted intervention.

The association of substance use with attaining employment among unemployed job seeking adults: Prospective findings from the French CONSTANCES cohort

This study aimed to examine the prospective association between tobacco, alcohol and cannabis use with attaining employment among unemployed job seekers. Data from the French population-based CONSTANCES cohort on 5114 unemployed job seeking adults enrolled from 2012 to 2018 were analyzed. Binary logistic regressions were computed. Odds ratio (OR) and 95%CI of remaining unemployed at one-year of follow-up (versus attaining employment) according to substance use at baseline were obtained. The following independent variables were introduced into separate models: tobacco use (non-smoker, former smoker, light (<10cig/day), moderate (10-19cig/day) and heavy smoker (>19cig/day)), alcohol use according to the Alcohol Use Disorder Identification Test (non-users (0), low (<7), moderate (7-15) and high or very high-risk (>15)) and cannabis use (never used, no use in the previous 12 months, less than once a month, at least once a month but less than once per week, once per week or more). Analyses were adjusted for age, gender and education. At follow-up, 2490 participants (49.7%) were still unemployed. Compared to non-smokers, moderate and heavy smokers were more likely to remain unemployed, with ORs (95%CI) of 1.33 (1.08-1.64) and 1.42 (1.04-1.93), respectively. Compared to low-risk alcohol users, no alcohol users and high or very high-risk alcohol users were more likely to remain unemployed, with ORs (95% CI) of 1.40 (1.03-1.83) and 2.10 (1.53-2.87), respectively. Compared to participants who never used cannabis, participants who use cannabis once a week or more were more likely to remain unemployed, OR (95%CI) of 1.63 (1.33-2.01). Substance use may play an important role in difficulty attaining employment.

Development, validation and transfer to clinical practice of a mobile application for the treatment of smoking

OBJECTIVE

The main objective is to transfer to clinical practice a new smoking cessation application ("Vive sin Tabaco" a) in all health centers of the public Basque Health Service.

DESIGN

An implementation study of a smoking cessation program previously validated. After implementation, a retrospective study has been carried out to evaluate its use under normal conditions. SITE: The process of transfer to clinical practice has been held in several phases; first a pilotage in four health centers of Alava and subsequently, when all reported incidents were resolved, it was extended to all health centers of the Basque Health Service.

INTERVENTION AND MAIN MEASUREMENT

Development of "Vive sin Tabaco"; a corporate tool for smoking cessation, and its transfer to clinical practice. All interested health care workers received training on how to use the application. User manuals for both patients and professionals were developed. Smoking cessation rates at 12 months during implementation were also collected.

RESULTS

The percentage of patients of post pilot phase who quit smoking at 12 months was 14.1%.

CONCLUSIONS

The conception of "Vive sin tabaco" as a corporate tool for smoking cessation, available in all health centers of Basque Health Service, has been long and arduous, and has required the participation of health professionals and patients as end-users in order to obtain a tool that adapts to their expectations and guarantees greater usability and satisfaction. This application is being effective as an adjuvant tool to health advice.

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.

Smoking and Long-Term Sick Leave in a Japanese Working Population: Findings of the Japan Epidemiology Collaboration on Occupational Health Study

Background

Few studies have investigated the association between tobacco smoking and sick leave (SL) in Japan.

Methods

We followed 70 896 workers aged 20–59 years (60 133 males, 10 763 females) between April 2012 and March 2017. A Cox proportional hazards model was used to investigate the associations between smoking (smoking status and intensity) and long-term SL (ie, SL lasting ≥30 consecutive days). Cause-specific analyses were also conducted.

Results

A total of 1777 people took long-term SL during a follow-up of 307 749 person years. Compared with never-smokers, current smokers were at a higher risk of long-term SL (hazard ratio [HR] = 1.32; 95% confidence interval [CI] = 1.19 to 1.48). Cause-specific analyses revealed that current smoking was associated with a higher risk of SL due to all physical disorders (HR = 1.44, 95% CI = 1.22 to 1.69), cancer (HR = 1.49, 95% CI = 1.10 to 2.01), cardiovascular disease (CVD; HR = 2.16, 95% CI = 1.31 to 3.55), and injuries/external causes (HR = 1.83, 95% CI = 1.31 to 2.58). Former smokers were at a higher risk of SL due to cancer at a borderline significance level (HR = 1.38, 95% CI = 0.99 to 1.92). Low-intensity smoking (ie, 1–10 cigarettes smoked per day) was associated with all-cause SL, SL due to CVD, and SL due to injuries/external causes compared with never-smokers.

Conclusion

In a large cohort of working-age Japanese, smoking was associated with a greater risk of long-term SL. Greater effort is needed to mitigate disease burden associated with smoking at workplace in Japan.

Implications

Our study contributes to the literature on the association between smoking and SL in several ways. First, the study was conducted among a Japanese working population. While the association has been extensively studied in Western setting, few attempts have been made elsewhere. Second, cause-specific analyses were undertaken in our study. Third, we paid attention to the effect of low-intensity smoking on SL given that there is growing evidence of an elevated health risk associated with low-intensity smoking.

Influence of lifestyle risk factors on work ability and sick leave in a general working population in Norway: a 5-year longitudinal study

OBJECTIVES

The aim of this study is to assess (1) whether lifestyle risk factors are related to work ability and sick leave in a general working population over time, and (2) these associations within specific disease groups (ie, respiratory diseases, cardiovascular disease and diabetes, and mental illness).

SETTING

Telemark county, in the south-eastern part of Norway.

DESIGN

Longitudinal study with 5 years follow-up.

PARTICIPANTS

The Telemark study is a longitudinal study of the general working population in Telemark county, Norway, aged 16 to 50 years at baseline in 2013 (n=7952) and after 5-year follow-up.

OUTCOME MEASURE

Self-reported information on work ability (moderate and poor) and sick leave (short-term and long-term) was assessed at baseline, and during a 5-year follow-up.

RESULTS

Obesity (OR=1.64, 95% CI: 1.32 to 2.05) and smoking (OR=1.62, 95% CI: 1.35 to 1.96) were associated with long-term sick leave and, less strongly, with short-term sick leave. An unhealthy diet (OR=1.57, 95% CI: 1.01 to 2.43), and smoking (OR=1.67, 95% CI: 1.24 to 2.25) were associated with poor work ability and, to a smaller extent, with moderate work ability. A higher lifestyle risk score was associated with both sick leave and reduced work ability. Only few associations were found between unhealthy lifestyle factors and sick leave or reduced work ability within disease groups.

CONCLUSION

Lifestyle risk factors were associated with sick leave and reduced work ability. To evaluate these associations further, studies assessing the effect of lifestyle interventions on sick leave and work ability are needed.

The Effect of Follow-Up Contact on Recovery After Benign Hysterectomy: A Randomized, Single-Blinded, Four-Arm, Controlled Multicenter Trial

Background: The objective of this trial was to analyze the effect of follow-up programs using standard follow-up protocol and structured coaching on recovery after hysterectomy in an enhanced recovery after surgery setting. Materials and Methods: A randomized, four-armed, single-blinded, controlled multicenter trial comprising 487 women was conducted at five hospitals in the southeast region of Sweden. The women were allocated (1:1:1:1) to Group A: no planned follow-up contact; Group B: a single, planned, structured, broadly kept, follow-up telephone contact with the research nurse the day after discharge; Group C: planned, structured, broadly kept follow-up telephone contact with the research nurse the day after discharge and then once weekly for 6 weeks; and Group D: as Group C, but with planned, structured, coaching telephone contact. Recovery was assessed by the health-related quality of life (HRQoL) questionnaires EuroQoL-5 Dimension with three levels (EQ-5D-3L) and Short-Form-Health Survey with 36 items (SF-36) and duration of sick leave. Results: Neither the recovery of HRQoL as measured by the EQ-5D-3L and the SF-36 nor the duration of sick leave (mean 26.8-28.1 days) differed significantly between the four intervention groups. Irrespective of mode of follow-up contact used, the women had recovered to their baseline EQ-5D-3L health index 4 weeks after surgery. The occurrence of unplanned telephone contact was significantly lower (by nearly 30%) in the women who had structured coaching. Conclusion: Follow-up contact, including coaching, did not seem to expedite the postoperative recovery in HRQoL or reduce the sick leave after hysterectomy, but the coaching seemed to reduce unplanned telephone contact with the health care services. ClinicalTrial.gov (NCT01526668).

Education differences in sickness absence and the role of health behaviors: a prospective twin study

BACKGROUND

Long-term sickness absences burden the economy in many industrialized countries. Both educational attainment and health behaviors are well-known predictors of sickness absence. It remains, however, unclear whether these associations are causal or due to confounding factors. The co-twin control method allows examining causal hypotheses by controlling for familial confounding (shared genes and environment). In this study, we applied this design to study the role of education and health behaviors in sickness absence, taking sex and cohort differences into account.

METHODS

Participants were two cohorts of in total 8806 Norwegian twins born 1948 to 1960 (older cohort, mean age at questionnaire = 40.3, 55.8% women), and 1967 to 1979 (younger cohort, mean age at questionnaire = 25.6, 58.9% women). Both cohorts had reported their health behaviors (smoking, physical activity and body mass index (BMI)) through a questionnaire during the 1990s. Data on the twins' educational attainment and long-term sickness absences between 2000 and 2014 were retrieved from Norwegian national registries. Random (individual-level) and fixed (within-twin pair) effects regression models were used to measure the associations between educational attainment, health behaviours and sickness absence and to test the effects of possible familial confounding.

RESULTS

Low education and poor health behaviors were associated with a higher proportion of sickness absence at the individual level. There were stronger effects of health behaviors on sickness absence in women, and in the older cohort, whereas the effect of educational attainment was similar across sex and cohorts. After adjustment for unobserved familial factors (genetic and environmental factors shared by twin pairs), the associations were strongly attenuated and non-significant, with the exception of health behaviors and sickness absence among men in the older cohort.

CONCLUSIONS

The associations between educational attainment, health behaviors, and sickness absence seem to be confounded by unobserved familial factors shared by co-twins. However, the association between health behaviors and sickness absence was consistent with a causal effect among men in the older cohort. Future studies should consider familial confounding, as well as sex and age/cohort differences, when assessing associations between education, health behaviors and sickness absence.

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.

Social Causation, Social Selection, or Common Determinants? Examining Competing Explanations for the Link Between Young Adult Unemployment and Nicotine Dependence

INTRODUCTION

Unemployment has been related to smoking, yet the causal nature of the association is subject to continued debate. Social causation argues that unemployment triggers changes in smoking, whereas the social selection hypothesis proposes that pre-existing smoking behavior lowers the probability of maintaining employment. The present study tested these competing explanations while accounting for another alternative explanation-common liability.

METHODS

Data were from the Christchurch Health and Development Study, a longitudinal cohort followed from birth to age 35. Odds were generated for having nicotine dependence in models for social causation and being unemployed in models for social selection. These models were extended to include possible common liability factors during childhood (eg, novelty seeking) and young adulthood (eg, major depression).

RESULTS

In the model testing social causation, coefficients representing the impacts of unemployment on nicotine dependence remained statistically significant and robust (odds ratio [OR] = 1.55; 95% confidence interval [CI] = 1.20, 2.00), even after accounting for common determinant measures. In contrast, a reverse social selection model revealed that coefficients representing the impacts of nicotine dependence on unemployment substantially attenuated and became statistically nonsignificant as childhood factors were added (OR = 1.14; 95% CI = 0.90, 1.45).

CONCLUSIONS

Unemployment may serve as inroads to nicotine addiction among young adults, not the other way, even in the context of nicotine dependence, a more impaired form of smoking that may arguably hold higher potential to generate social selection processes. This social causation process cannot be completely attributable to common determinant factors.

IMPLICATIONS

It is critical to clarify whether unemployment triggers changes in smoking behaviors (ie, social causation) or vice versa (ie, social selection)-the answers to the question will lead to public health strategies with very different intervention targets to break the linkage. The current study findings favor social causation over social selection, regardless of gender, and support a needed shift in service profiles for unemployed young adults-from a narrow focus on job skills training to a more holistic approach that incorporates knowledge from addiction science in which unemployed young adults can find needed services to cope with job loss.

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 effectiveness of body age-based intervention in workplace health promotion: Results of a cohort study on 9851 Danish employees

INTRODUCTION

The aging population emphasize the need for effective health promotion interventions. The workplace is a prioritized setting for health promotion to reach widely within a population. Body age can be used as a health-risk estimate and as a motivational tool to change health behavior. In this study we investigate body age-based intervention including motivational interview and its effect on health, when applied to real life workplace health promotion.

MATERIAL AND METHODS

Body age-based intervention was performed in 90 companies on 9851 Danish employees from 2011-2017. Metabolic risk factors were assessed, body age score was determined and an individualized motivational interview was conducted at baseline and follow-up. Change in body age score, single risk factors, smoking habits and metabolic syndrome were analyzed. The body age score is a composite score comprising 11 weighted variables. A body age score ≤ 0 is preferred, as this elicit a younger/healthier or equal body age compared to chronological age.

RESULTS

At 1.3 year follow-up the unhealthiest employees were less likely to participate. Within follow-up participants (39%, n = 3843) body age had improved by a decline in mean body age score of -0.6 and -0.7 years for men and women, respectively (p<0.001). Number of employees with metabolic syndrome had decreased from 646 at baseline to 557 at follow-up (p = 0.005) and 42% of smokers had quit smoking (p<0.001).

CONCLUSION

On the basis of this study, we suggest that body age assessment motivates to participate in workplace health promotion, affect high risk behavior such as smoking thus have potential in public health promotion.

Cigarette smoking and smokeless tobacco use among male south Asian migrants in the United Arab Emirates: a cross-sectional study

BACKGROUND

Few data were available on smoking and smokeless tobacco use in South Asian migrants in the United Arab Emirates (UAE). This study aimed to identify the prevalence and correlates of cigarette smoking and smokeless tobacco use in male South Asian migrants in the UAE.

METHODS

We used a cross-sectional study to recruit a random representative sample of male South Asian migrants, including Indian (n = 433), Pakistani (n = 383) and Bangladeshi (n = 559) nationalities. We used multivariable logistic regression analysis to identify significant correlates of cigarettes smoking and smokeless tobacco use.

RESULTS

1375 South Asian migrant adult males participated in the study (response rate 76%) with a mean age of 34 years (SD ± 10). The overall prevalence of cigarette smoking was 28% (95%CI 25-30%) and smokeless tobacco use was 11% (95%CI 10-13%). The prevalence of current cigarette smoking was 21, 23, and 37% among participants from India, Pakistan and Bangladesh, respectively. The prevalence of current smokeless tobacco use was 6, 12, and 16% for Indian, Pakistani, and Bangladeshi participants, respectively. Among study participants, Bangladeshi nationality, hypertension, and alcohol use were significant correlates of current cigarette smoking. Significant correlates of smokeless tobacco use included increased age, less than college level education, alcohol use, and Pakistani or Bangladeshi nationality.

CONCLUSIONS

Current smoking and smokeless tobacco use in South Asian migrants represent a significant public health burden in the UAE. Effective public health measures are needed to reduce tobacco use in this migrant population.

Cost-effectiveness and cost-utility analysis of a work-place smoking cessation intervention with and without financial incentives

AIMS

To perform an economic evaluation of a work-place smoking cessation group training programme with incentives compared with a training programme without incentives.

DESIGN

A trial-based cost-effectiveness analysis (CEA) and cost-utility analysis (CUA) from a societal perspective and an employer's perspective.

SETTING

Sixty-one companies in the Netherlands.

PARTICIPANTS

A total of 604 tobacco-smoking employees.

INTERVENTION AND COMPARATOR

A 7-week work-place smoking cessation group training programme. The intervention group earned gift vouchers of €350 for 12 months' continuous abstinence. The comparator group received no incentives.

MEASUREMENTS

Online questionnaires were administered to assess quality of life (EQ-5D-5 L) and resource use during the 14-month follow-up period (2-month training period plus 12-month abstinence period). For the CEA the primary outcome measure was carbon monoxide (CO)-validated continuous abstinence; for the CUA the primary outcome was quality-adjusted life years (QALY). Bootstrapping and sensitivity analyses were performed to account for uncertainty. Incremental cost-effectiveness ratio (ICER) tables were used to determine cost-effectiveness from a life-time perspective.

FINDINGS

Of the participants in the intervention group, 41.1% had quit smoking compared with 26.4% in the control group. From a societal perspective with a 14-month follow-up period, the ICER per quitter for an intervention with financial incentives compared with no incentives was €11 546. From an employer's perspective, the ICER was €5686. There was no significant difference in QALYs between the intervention and control group within the 14-month follow-up period. The intervention was dominated by the comparator in the primary analysis at a threshold of €20 000 per QALY. In the sensitivity analysis, these results were uncertain. A life-time perspective showed an ICER of €1249 (95% confidence interval = €850-2387) per QALY.

CONCLUSIONS

Financial incentives may be cost-effective in increasing quitting smoking, particularly from a life-time perspective.

[Time trends of occupational differences in smoking behaviour of employed men and women in Germany : Results of the 1999-2013 microcensus]

BACKGROUND

Studies show that people with a low occupational status are more likely to smoke than those with a high occupational status. Against the background of a general decline in tobacco consumption, time trends of occupational differences in smoking behaviour of employed men and women in Germany were examined.

METHODS

The analyses were based on the last five waves of the German microcensus that included questions about smoking (1999, 2003, 2005, 2009 and 2013), taking only employed men and women aged 18-64 years into account (n = 688,746). Information on occupational position was summarised using international classifications of occupation (ISEI-08 and ISCO-08). Raw and model-based standardized prevalence estimates of current smoking were calculated.

RESULTS

Between 1999 and 2013, the proportion of smokers in the working population fell from 39.9 to 34.4% (men) and from 30.6 to 26.8% (women). Differences between occupational status groups increased significantly: while the prevalence of smoking among employees with high occupational status decreased, it remained largely stable in the low status group. In 2013, the occupations with the highest proportion of smokers were waste disposal workers, cleaning staff, unskilled workers, truck and bus drivers, salespeople and cashiers, and employees in the catering industry.

CONCLUSION

Since the beginning of the 2000s, the prevalence of smoking in the working population has declined. The strengthened tobacco control policy - e. g. the establishment of smoke-free workplace laws - might have contributed to this trend. In the context of workplace health promotion, tobacco prevention and cessation measures should be targeted at those professions in which smoking is still particularly common.

Anteceding factors predicting absenteeism and presenteeism in urban area in Malaysia

Background

Organization productivity is strongly linked to employees’ socioeconomic characteristics and health which is marked by absenteeism and presenteeism. This study aims to identify anteceding factors predicting employees’ absenteeism and presenteeism by income, physical and mental health.

Methods

An online health survey was conducted between May to July 2017 among employees from 47 private companies located in urban Malaysia. A total of 5235 respondents completed the 20-min online employee health survey on a voluntary basis. Chi-Square or Fisher’s exact tests were used to determine association between income with demographic and categorical factors of absenteeism and presenteeism. Multivariate linear regression was used to identify factors predicting absenteeism and presenteeism.

Results

More than one third of respondents’ monthly income were less than RM4,000 (35.4%), 29.6% between RM4,000-RM7,999 and 35.0% earned RM8,000 and above. The mean age was 33.8 years (sd ± 8.8) and 49.1% were married. A majority were degree holders (74.4%) and 43.6% were very concerned about their financial status. Mean years of working was 6.2 years (sd ± 6.9) with 68.9% satisfied with their job. More than half reported good general physical health (54.5%) (p = 0.065) and mental health (53.5%) (p = 0.019). The mean hours of sleep were 6.4 h (sd ± 1.1) with 63.2% reporting being unwell due to stress for the past 12 months. Mean work time missed due to ill-health (absenteeism) was 3.1% (sd ± 9.1), 2.8% (sd ± 9.1) and 1.8% (sd ± 6.5) among employees whose monthly income was less than RM4,000, RM4,000-RM7,999 and over RM8,000 respectively (p = 0.0066). Mean impairment while working due to ill-health (presenteeism) was 28.2% (sd ± 25.3), 24.9% (sd ± 25.5) and 20.3% (sd ± 22.9) among employees whose monthly income was less than RM4,000, RM4,000-RM7,999 and over RM8,000 respectively (p < 0.0001). Factors that predict both absenteeism and presenteeism were income, general physical health, sleep length and being unwell due to stress.

Conclusions

A combination of socioeconomic, physical and mental health factors predicted absenteeism and presenteeism with different strengths. Having insufficient income may lead to second jobs or working more hours which may affect their sleep, subjecting them to stressful condition and poor physical health. These findings demand holistic interventions from organizations and the government.

Lifestyle factors and risk of sickness absence from work: a multicohort study

Background

Lifestyle factors influence the risk of morbidity and mortality, but the extent to which they are associated with employees' absence from work due to illness is unclear. We examined the relative contributions of smoking, alcohol consumption, high body-mass index, and low physical activity to diagnosis-specific sickness absence.

Methods

We did a multicohort study with individual-level data of participants of four cohorts from the UK, France, and Finland. Participants' responses to a lifestyle survey were linked to records of sickness absence episodes, typically lasting longer than 9 days; for each diagnostic category, the outcome was the total number of sickness absence days per year. We estimated the associations between lifestyle factors and sickness absence by calculating rate ratios for the number of sickness absence days per year and combining cohort-specific estimates with meta-analysis. The criteria for assessing the evidence included the strength of association, consistency across cohorts, robustness to adjustments and multiple testing, and impact assessment by use of population attributable fractions (PAF), with both internal lifestyle factor prevalence estimates and those obtained from European populations (PAF_external).

Findings

For 74 296 participants, during 446 478 person-years at risk, the most common diagnoses for sickness absence were musculoskeletal diseases (70·9 days per 10 person-years), depressive disorders (26·5 days per 10 person-years), and external causes (such as injuries and poisonings; 12·8 days per 10 person-years). Being overweight (rate ratio [adjusted for age, sex, socioeconomic status, and chronic disease at baseline] 1·30, 95% CI 1·21–1·40; PAF_external 8·9%) and low physical activity (1·23, 1·14–1·34; 7·8%) were associated with absences due to musculoskeletal diseases; heavy episodic drinking (1·90, 1·41–2·56; 15·2%), smoking (1·70, 1·42–2·03; 11·8%), low physical activity (1·67, 1·42–1·96; 19·8%), and obesity (1·38, 1·11–1·71; 5·6%) were associated with absences due to depressive disorders; heavy episodic drinking (1·64, 1·33–2·03; 11·3%), obesity (1·48, 1·27–1·72; 6·6%), smoking (1·35, 1·20–1·53; 6·3%), and being overweight (1·20, 1·08–1·33; 6·2%) were associated with absences due to external causes; obesity (1·82, 1·40–2·36; 11·0%) and smoking (1·60, 1·30–1·98; 10·3%) were associated with absences due to circulatory diseases; low physical activity (1·37, 1·25–1·49; 12·0%) and smoking (1·27, 1·16–1·40; 4·9%) were associated with absences due to respiratory diseases; and obesity (1·67, 1·34–2·07; 9·7%) was associated with absences due to digestive diseases.

Interpretation

Lifestyle factors are associated with sickness absence due to several diseases, but observational data cannot determine the nature of these associations. Future studies should investigate the cost-effectiveness of lifestyle interventions aimed at reducing sickness absence and the use of information on lifestyle for identifying groups at risk.

Funding

NordForsk, British Medical Research Council, Academy of Finland, Helsinki Institute of Life Sciences, and Economic and Social Research Council.

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.

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.

Estimates of costs for modelling return on investment from smoking cessation interventions

BACKGROUND AND AIMS

Modelling return on investment (ROI) from smoking cessation interventions requires estimates of their costs and benefits. This paper describes a standardized method developed to source both economic costs of tobacco smoking and costs of implementing cessation interventions for a Europe-wide ROI model [European study on Quantifying Utility of Investment in Protection from Tobacco model (EQUIPTMOD)].

DESIGN

Focused search of administrative and published data. A standardized checklist was developed in order to ensure consistency in methods of data collection.

SETTING AND PARTICIPANTS

Adult population (15+ years) in Hungary, Netherlands, Germany, Spain and England. For passive smoking-related costs, child population (0-15 years) was also included.

MEASUREMENTS

Costs of treating smoking-attributable diseases; productivity losses due to smoking-attributable absenteeism; and costs of implementing smoking cessation interventions.

FINDINGS

Annual costs (per case) of treating smoking attributable lung cancer were between €5074 (Hungary) and €52 106 (Germany); coronary heart disease between €1521 (Spain) and €3955 (Netherlands); chronic obstructive pulmonary disease between €1280 (England) and €4199 (Spain); stroke between €1829 (Hungary) and €14 880 (Netherlands). Costs (per recipient) of smoking cessation medications were estimated to be: for standard duration of varenicline between €225 (England) and €465 (Hungary); for bupropion between €25 (Hungary) and €220 (Germany). Costs (per recipient) of providing behavioural support were also wide-ranging: one-to-one behavioural support between €34 (Hungary) and €474 (Netherlands); and group-based behavioural support between €12 (Hungary) and €257 (Germany). The costs (per recipient) of delivering brief physician advice were: €24 (England); €9 (Germany); €4 (Hungary); €33 (Netherlands); and €27 (Spain).

CONCLUSIONS

Costs of treating smoking-attributable diseases as well as the costs of implementing smoking cessation interventions vary substantially across Hungary, Netherlands, Germany, Spain and England. Estimates for the costs of these diseases and interventions can contribute to return on investment estimates in support of national or regional policy decisions.

Estimates of effectiveness and reach for 'return on investment' modelling of smoking cessation interventions using data from England

BACKGROUND AND AIMS

Estimating 'return on investment' (ROI) from smoking cessation interventions requires reach and effectiveness parameters for interventions for use in economic models such as the EQUIPT ROI tool (http://roi.equipt.eu). This paper describes the derivation of these parameter estimates for England that can be adapted to create ROI models for use by other countries.

METHODS

Estimates were derived for interventions in terms of their reach and effectiveness in: (1) promoting quit attempts and (2) improving the success of quit attempts (abstinence for at least 12 months). The sources were systematic reviews of efficacy supplemented by individual effectiveness evaluations and national surveys.

FINDINGS

Quit attempt rates were estimated to be increased by the following percentages (with reach in parentheses): 20% by tax increases raising the cost of smoking 5% above the cost of living index (100%); 10% by enforced comprehensive indoor public smoking bans (100%); 3% by mass media campaigns achieving 400 gross rating points (100%); 40% by brief opportunistic physician advice (21%); and 110% by use of a licensed nicotine product to reduce cigarette consumption (12%). Quit success rates were estimated to be increased by the following ratios: 60% by single-form nicotine replacement therapy (NRT) (5%); 114% by NRT patch plus a faster-acting NRT (2%);124% by prescribed varenicline (5%); 60% by bupropion (1%); 100% by nortriptyline (0%), 10) 298% by cytisine (0%); 40% by individual face-to-face behavioural support (2%); 37% by telephone support (0.5%); 88% by group behavioural support (1%); 63% by text messaging (0.5%); and 19% by printed self-help materials (1%). There was insufficient evidence to obtain reliable, country-specific estimates for interventions such as websites, smartphone applications and e-cigarettes.

CONCLUSIONS

Tax increases, indoor smoking bans, brief opportunistic physician advice and use of nicotine replacement therapy (NRT) for smoking reduction can all increase population quit attempt rates. Quit success rates can be increased by provision of NRT, varenicline, bupropion, nortriptyline, cytisine and behavioural support delivered through a variety of modalities. Parameter estimates for the effectiveness and reach of these interventions can contribute to return on investment estimates in support of national or regional policy decisions.

Assessment of cost-effective changes to the current and potential provision of smoking cessation services: an analysis based on the EQUIPTMOD

BACKGROUND AND AIMS

Increasing the reach of smoking cessation services and/or including new but effective medications to the current provision may provide significant health and economic benefits; the scale of such benefits is currently unknown. The aim of this study was to estimate the cost-effectiveness from a health-care perspective of viable national level changes in smoking cessation provision in the Netherlands and England.

METHODS

A Markov-based state transition model [European study on Quantifying Utility of Investment in Protection from Tobacco model (EQUIPTMOD)] was used to estimate costs and benefits [expressed in quality-adjusted life years (QALY)] of changing the current provision of smoking cessation programmes in the Netherlands and England. The changes included: (a) increasing the reach of top-level services to increase potential quitters (e.g. brief physician advice); (b) increasing the reach of behavioural support (group-based therapy and SMS text-messaging support) to increase the success rates; (c) including a new but effective medication (cytisine); and (d) all changes implemented together (combined change). The costs and QALYs generated by those changes over 2, 5, 10 years and a life-time were compared with that of the current practice in each country. Results were expressed as incremental net benefit (INB) and incremental cost-effectiveness ratio (ICER). A sequential analysis from a life-time perspective was conducted to identify the optimal change.

RESULTS

The combined change was dominant (cost-saving) over all alternative changes and over the current practice, in both countries. The combined change would generate an incremental net benefit of €11.47 (2 years) to €56.16 (life-time) per smoker in the Netherlands and €9.96 (2 years) to €60.72 (life-time) per smoker in England. The current practice was dominated by all alternative changes.

CONCLUSION

Current provision of smoking cessation services in the Netherlands and England can benefit economically from the inclusion of cytisine and increasing the reach of brief physician advice, text-messaging support and group-based therapy.

Job exposure to the public in relation with alcohol, tobacco and cannabis use: Findings from the CONSTANCES cohort study

Objectives

To examine the associations between job exposure to the public (e.g., customers, guests, users of a public service, patients) and alcohol, tobacco and cannabis use.

Methods

From the French population-based CONSTANCES cohort, 16,566 men and 17,426 women currently working were included between 2012 and 2016. They reported their exposure to the public (daily versus no daily), and among the daily exposed participants (10,323 men and 13,318 women), the frequency of stressful exposure (often versus rarely). Dependent variables were: chronic alcohol consumption (<1(1), 1-27(1–13), 28-42(14–28), >42(28) drinks per week in men(women)), heavy episodic drinking (never, at most once a month, more than once a month), alcohol use risk with Alcohol Use Disorders Identification Test (mild, dangerous, problematic or dependence), tobacco use (non-smoker, former smoker, 1–9, 10–19, >19 cigarettes per day) and cannabis use (never, not in past year, less than once a month, once a month or more). Logistic regressions provided odds ratios of substance use, stratifying for gender and adjusting for sociodemographic confounders, depression, effort-reward imbalance and perceived health status.

Results

Exposed men had higher risks of alcohol (chronic alcohol consumption, heavy episodic drinking and alcohol use risk), tobacco and cannabis use. Exposed women had higher risks of tobacco and cannabis use. In men, stressful exposure was associated with increased risks of heavy episodic drinking, tobacco and cannabis use. In women, stressful exposure was associated with increased risks of chronic alcohol consumption, alcohol use risk, tobacco and cannabis use. All these findings remained significant in multivariable analyses, taking into account sociodemographic variables, depressive symptoms, perceived health status and effort-reward imbalance.

Conclusions

Interventions to reduce emotional job demand should systematically integrate assessment and prevention measures of addictive behaviors. Vulnerable workers may be offered more specific interventions to reduce the impact of exposure to the public on their substance use.

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.

Cigarettes, Smokeless Tobacco, and Poly-Tobacco Among Workers in Three Dusty Industries

BACKGROUND

Tobacco use remains high among blue-collar workers, the health consequences of which may be compounded by occupational dust exposure. Detailed data on tobacco use among workers in dusty industries are lacking.

METHODS

The 2006 to 2012 National Survey on Drug Use and Health was used to compare current tobacco use prevalence [including cigarettes, smokeless tobacco (SLT), and both (dual use)] among male workers in three dusty industries to all other employed men using bivariate and multivariate analysis.

RESULTS

Smoking rates were high among extraction (39.9%) and construction (38.5%) workers. Increased odds of SLT (odds ratio = 3.3) and dual use (odds ratio = 2.6) were observed among dusty-industry workers compared with other employed men. The prevalence of any tobacco use was unexpectedly high among extraction workers (60.4%).

CONCLUSIONS

Disparities in tobacco use behaviors by industry may point to opportunities for targeted workplace tobacco cessation programs.

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.

Does smoking status affect cost of hospitalization? Evidence from three main diseases associated with smoking in Iran

Background: Smoking is recognized as one of the main public health problems worldwide and is accounted for a high financial burden to healthcare systems and the society as a whole. This study was aimed at examining the effect of smoking status on cost of hospitalization among patients with lung cancer (LC), chronic obstructive pulmonary disease (COPD) and ischemic heart diseases (IHD) in Iran in 2014.

Methods: A total of 1,271 patients (consisting of 415 LC, 427 COPD and 429 IHD patients) were included in the study. Data on age, sex, and insurance status, length of hospital stay and cost of hospitalization were extracted from the medical records of the patients. The smoking status of the patients was obtained through a telephone survey. A generalized linear model (GLM) was used to compare the costs of hospitalization of current, former and never smokers. The analysis was done using Stata v.12.

Results: The mean±SD cost of hospitalization per patient was 45.6 ± 41.8 million IR for current smokers, 34.8±23 million IR for former smokers and 27.6±24.6 million IR for never smokers, respectively. The findings indicated that the cost of hospitalization for current and former smokers was 65% and 26% in the unadjusted model and 35% and 24% in the adjusted model higher than for never smokers.

Conclusion: The findings revealed that smoking drains a large hospital resource and imposes a high financial burden on the health system and the society. Therefore, efforts should focus on reducing the prevalence of smoking and the negative economic consequences of smoking.

Primary health care utilisation and its costs among middle-aged smokers

OBJECTIVE

To study and compare the utilisation of primary health care services among 46-year-old current smokers, ex-smokers and never-smokers, and to estimate the corresponding costs.

METHODS

This population-based cohort study is based on the Northern Finland Birth Cohort 1966, which is a longitudinal research program in Finland's two northernmost provinces. The study is based on data collected at the 46-year follow-up, during which a total of 4997 individuals completed questionnaires on their primary health care service utilisation. Primary health care covered visits to both occupational and public health care (typically community health centres).

RESULTS

Current smokers visited primary health care professionals more often per year than never-smokers, regardless of gender (RR 1.24, 95 % confidence interval 1.10-1.43 for men; RR 1.10, 1.01-1.22 for women). When primary health care services were categorised based on the type of service provided, current smokers of both genders were more likely to visit a dentist (RR 1.56, 1.32-1.84 for men; RR 1.34, 1.15-1.55 for women) or a physician (RR 1.20, 1. 03-1.40 for men; RR 1.15, 1.02-1.30 for women) than their never-smoking counterparts (BMI adjusted for). For men, the total annual costs of primary health care visits were 28 % higher for current smokers versus never-smokers (P < 0.001). For women, the difference was 21 % (P < 0.01).

CONCLUSIONS

Smokers visit primary health care professionals more often already at the age of 46, before the expected diagnosis of fatal smoking-related illnesses. This phenomenon not only predicts an elevated incidence of serious illnesses in later life (such as cardiovascular disease), but also causes an economic burden on the health care system.

High Cigarette and Poly-Tobacco Use Among Workers in a Dusty Industry: New Jersey Quarry Workers

OBJECTIVE

Tobacco use is high among US extraction and construction workers, who can also incur occupational dust exposure. Information on different types of tobacco use among quarry/mine workers is sparse.

METHODS

During mandated training sessions, New Jersey quarry workers were surveyed about their tobacco use. Prevalence was calculated for single and multiple tobacco use by demographic and workplace characteristics; logistic regression was used to assess associations with smoking.

RESULTS

Two hundred forty (97.1%) workers completed surveys. Among respondents, 41.7% [95% confidence interval (95% CI) 35.4 to 48.3] currently used any tobacco product of whom 28.1% smoked cigarettes. In multivariate analysis, positive associations with smoking included working as a contractor versus mine employee (odds ratio 2.32, 95% CI 1.01 to 5.36) and a usual job title of maintenance (odds ratio 2.02, 95% CI 0.87 to 4.94).

CONCLUSION

Industry-specific information may be helpful in developing targeted tobacco-cessation programs.

Factors Predicting the Provision of Smoking Cessation Services Among Occupational Health Nurses in Thailand

The purpose of this study was to identify factors predicting occupational health nurses' provision of smoking cessation services. Data were collected via a self-administered questionnaire distributed to 254 occupational health nurses in Thailand. Analysis by structural equation modeling revealed that self-efficacy directly and positively influenced smoking cessation services, and mediated the relationship between workplace factors, nurse factors, and smoking cessation services. The final model had good fit to the data, accounting for 20.4% and 38.0% of the variance in self-efficacy and smoking cessation services, respectively. The findings show that self-efficacy is a mediator that influences provision of smoking cessation services by occupational health nurses. Interventions to enhance nurses' self-efficacy in providing smoking cessation services are expected to promote provision of smoking cessation services to workers.

The effect of financial incentives on top of behavioral support on quit rates in tobacco smoking employees: study protocol of a cluster-randomized trial

BACKGROUND

Stimulating successful tobacco cessation among employees has multiple benefits. Employees who quit tobacco are healthier, more productive, less absent from work, and longer employable than employees who continue to use tobacco. Despite the evidence for these benefits of tobacco cessation, a successful method to stimulate employees to quit tobacco is lacking. The aim of this study is to evaluate whether adding a financial incentive to behavioral support (compared with no additional incentive) is effective and cost-effective in increasing abstinence rates in tobacco smoking employees participating in a smoking cessation group training.

METHODS/DESIGN

In this cluster-randomized trial employees in the intervention and control group both participate in a smoking cessation group training consisting of seven weekly counseling sessions of ninety minutes each. In addition to the training, employees in the intervention group receive a voucher as an incentive for being abstinent from smoking at the end of the training (€50), after three months (€50), after six months (€50), and after one year (€200). The control group does not receive any incentive. The primary outcome is carbon monoxide validated 12-month continuous abstinence from smoking (Russel's standard). Additionally, an economic evaluation is performed from a societal and an employer perspective.

DISCUSSION

The present paper describes the methods and design of this cluster-randomized trial in detail. We hypothesize that the financial incentive for abstinence in the form of vouchers increases abstinence rates over and above the group training. The results of this study can provide important recommendations for enhancement of employee tobacco cessation.

TRIAL REGISTRATION

Dutch Trial Register: NTR5657 . First received 27-01-2016.

Smoking Cessation and Changes in Body Mass Index Among Middle Aged and Older Adults

Objective: This study contributes to the body of literature examining smoking cessation and body mass index (BMI) for adults aged 50 and older. Method: Utilizing the 2004 and 2010 waves of the RAND Health and Retirement Study, this analysis utilized Fixed Effects (FE) regression on a sample of 1,316 adults aged 50 and older. Results: Older adults undergo a small change in BMI after a transition from smoking to nonsmoking during a 6-year period, and this occurs after accounting for individual-level unobserved heterogeneity. More specifically, men experience a BMI gain of 1.24 ( p< .01) and women experience a BMI gain of 1.58 ( p< .01). Discussion: Gerontologists/health professionals can use these results to inform older adults about the potential for a small increase in BMI and, in the process, assuage any apprehensions about excessive weight gain. This insight may encourage a greater number of older adults to cease smoking.

The association between smoking status and hospital length of stay: evidence from a hospital-based cohort

OBJECTIVES

Smoking is recognized as one of the main preventable causes of mortality and morbidity that imposes a high financial burden on healthcare systems and society. This study aimed to examine the association between smoking status and hospital length of stay (LOS) among patients with lung cancer (LC), chronic obstructive pulmonary disease (COPD) and ischemic heart diseases (IHD) in Iran in 2014.

METHODS

A total of 1271 patients (415 LC patients, 427 COPD patients and 429 IHD patients) were included in the study. Data on age, sex, insurance status and LOS was extracted from the patients' medical records and smoking status was obtained from the patients using telephone survey. The LOS among current smokers, former smokers, and nonsmokers was compared using a zero-truncated poisson regression. Analysis was done using STATA v.12.

RESULTS

The mean LOS for current smokers, former smokers and nonsmokers was 9.4±8.4, 7.3 ±5.3 and 6.02±5.05 days, respectively. The unadjusted and adjusted probabilities of LOS for current smokers and former smokers were 56% and 21% and 48% and 15% higher, respectively, than when compared with the nonsmoker category.

CONCLUSION

The study demonstrated longer LOS for the current and former smokers, contributing to the drain on large hospital resources in Iran. The results of the study provide useful information for health-policy makers that contribute to the planning and designing of smoking cessation interventions in this area.

Patterns of nicotine dependence in four Eastern European countries

BACKGROUND

Evidence of patterns of nicotine dependence, although crucial for developing and implementing effective tobacco control strategies, is limited in the Eastern European countries. The purpose of this study was to evaluate the correlates of high nicotine dependence among adults in Poland, Romania, the Russian Federation and Ukraine.

METHODS

The data used in the current analysis is available from the Global Adult Tobacco Survey (2009-2011). Nicotine dependence was assessed using the Heaviness of Smoking Index (HSI), which covers two measures: reported cigarettes smoked per day and time to the first cigarette upon waking. Based on a six-point scale of HSI, nicotine dependence was categorized into low to moderate (score 0-3), and high dependence (score 4-6). Out of 31,936 completed interviews, we used data from 8229 daily smokers.

RESULTS

The study results indicate that more than 25 % of daily smokers were highly dependent on nicotine. Higher odds of high nicotine dependence were identified for males (OR = 1.5 in Poland and Romania, OR = 2.7 in Russia; p ≤ 0.001), people between 50-59 years of age (the highest odds in Romania; OR = 4.8; p ≤ 0.001) and those who had started smoking at a young age (the highest odds in Romania, OR = 5.0; p ≤ 0.001). Having fewer restrictions on smoking at home was significantly associated with a high level of nicotine dependence (the highest odds in Romania, OR = 3.0; p ≤ 0.001). A high proportion of the participants had no interest in quitting smoking, with a statistically significantly higher percentage observed among smokers highly dependent on nicotine compared to the less addicted (p ≤ 0.01).

CONCLUSIONS

Smokers highly dependent on nicotine constitute a quarter of the Romanian group of daily smokers and even more in the remaining three analyzed countries. Similar patterns of nicotine dependence were observed in all of the investigated countries showing that male gender, younger age at the smoking onset, and fewer restrictions on smoking at home were significantly associated with higher nicotine dependence. The study highlighted the fact that a high proportion of the participants had no interest in quitting smoking. These results underscore importance of policy measures as well as prevention and cessation interventions for smokers who are highly dependent on nicotine, which need to take into account the social gradient in smoking patterns.