Association between being employed in a smoke-free workplace and living in a smoke-free home: evidence from 15 low and middle income countries

The crossroads of work and home: linkages between smoke-free policies at work and household environments

BACKGROUND

Tobacco use causes over eight million global deaths annually, with seven million directly attributed to tobacco use and 1.2 million to second hand smoke (SHS). Smoke-free environments are crucial to counter SHS. Although India banned smoking in public places in 2008, SHS exposure remains high. Studies have noted that limiting smoking in workplaces, restaurants, etc., helps to reduce overall smoking and reduce SHS exposure. Under this background, the study explores the linkages between smoke-free workplaces and living in smoke-free homes in India.

METHODS

The two rounds of the GATS India (2009-10 and 2016-17) have been used for the study. The study focuses on male tobacco smokers working indoors or outdoors or both indoors and outdoors. The sample for the study was 2,969 for GATS 1 and 2,801 for GATS 2. Dependent variables include living in a smoke-free home, while the independent variables were adherence to a smoke-free office policy and socio-demographic variables. The two rounds of the GATS data were pooled for analysis. Statistical analysis involves bivariate and multivariate analysis.

RESULTS

Findings reveal that 41% of respondents worked in smoke-free workplaces in GATS 2. Nationally, smoke-free homes increased from 35% in 2009-2010 to 44% in 2016-17. Individuals with smoke-free workplaces were more likely to have smoke-free homes. The Southern region consistently exhibited the highest proportion of smoke-free homes. Urban areas and higher education correlated with increased smoke-free homes. Logistic regression analysis confirmed that workplace smoke-free status is a significant predictor of smoke-free homes. In GATS 2, respondents aged 30 years and above were less likely to have smoke-free homes, while education and Southern region residence positively influenced smoke-free homes.

CONCLUSIONS

The correlation between smoke-free workplaces and smoke-free homes is linked to stringent workplace no-smoking policies, potentially deterring individuals from smoking at home. Opportunities exist for the expansion and stringent implementation of the smoke-free policies among Indian working adults, leveraging the workplace as a key setting for evidence-based tobacco control. The study highlights positive trends in India's smoke-free homes, crediting workplace policies. Effective policies, education, and regional strategies can advance smoke-free homes, stressing the pivotal role of workplace policies and advocating broader implementation.

Global trends in deaths and disability-adjusted life years of diabetes attributable to second-hand smoke and the association with smoke-free policies

OBJECTIVES

The diabetic burden attributable to second-hand smoke (SHS) is a global public health challenge. We sought to explore the diabetic burden attributable to SHS by age, sex, and socioeconomic status during 1990-2019 and to evaluate the health benefit of smoke-free policies on this burden.

STUDY DESIGN

Cross-sectional study.

METHODS

The diabetic burden attributable to SHS was extracted from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 dataset. Country-level smoke-free policies were obtained from the World Health Organization Global Health Observatory. The deaths or disability-adjusted life years (DALYs) were quantified, and the average annual percentage changes were calculated. Hierarchical linear mixed models were applied to evaluate the health effects.

RESULTS

From 1990 to 2019, the absolute number of global deaths and DALYs of diabetes attributable to SHS has doubled, and the age-standardised rate has significantly increased. The disease burden was higher in females than in males and increased with increasing age. The SHS-related diabetic burden varied across regions and countries. Age-standardised death or DALY rates first increased and then decreased with increased Socio-demographic Index (SDI), peaking in the 0.60-0.70 range. In low to low-middle, and middle to high-middle SDI countries, SHS-related diabetic deaths and DALYs were significantly lower in countries with more than 3 smoke-free public places than in countries with 0-2 smoke-free public places.

CONCLUSIONS

More attention should be paid to females and the elderly, who bear a heavy SHS-related diabetic burden. Banning smoking in public places was associated with reduced burden of SHS-attributable diabetes, especially in low to middle social development countries.

Second Hand Smoke Exposure among Children in Indian Homes: Findings from the Global Adult Tobacco Survey

Children are vulnerable to second hand smoke (SHS) exposure because of limited control over their indoor environment, especially at homes. This study determines the magnitude, patterns and determinants of SHS exposure in the home among children in India. Data collected under the Global Adult Tobacco Survey (GATS) data, a household survey of adults ≥15 years of age during 2016-2017 conducted in India were analyzed to estimate the proportion of children exposed to SHS in their homes. GATS estimates and national census population projections for 2020 were also used to estimate the number of children exposed to SHS in the homes. Nearly half (46.5%) of the children <15 years of age were exposed to SHS in their homes in India which extrapolates to nearly an estimated 170 million. Children living in rural households, north-east and central regions and households with an adult smoker were more likely to be exposed to SHS. SHS exposure among children in home is high in India which calls for adoption of voluntary smoke-free homes initiative and promoting cessation among smokers.

Smoke-free status of homes and workplaces among Indian people: Evidence from Global Adult Tobacco SurveyData-2016/2017

AIMS

This study aimed to determine the impact of correlates on tobacco control/smoke-free status of homes and workplace among Indian people. To assess the magnitude of the problem, the relationship between smoke-free status and secondhand smoke (SHS) exposure was also explored.

METHODS

Data was extracted from the Global Adult Tobacco Survey Data (GATS)-2017. It was a household survey that included people aged 15 years or older and covered all 30 states and 2 Union Territories (UTs) of India. A logistic regression model was used to determine the correlates of smoke-free status of homes and workplaces. Additionally, the Pearson correlation was used to explore the relationship between smoke-free status and the proportion of participants exposed to SHS both at homes and in the workplaces.

RESULTS

The overall prevalence of smoke-free status in the home and workplace was 62.8% and 51.7%, respectively. Results of multivariate analysis (Logistic regression) illustrated that indicators like tobacco smoking status, place of residence, region, education, occupation, wealth quintile, and knowledge status about children's illness were significantly associated with the respondent's intention to live in a completely smoke-free environment both at home and in the workplace in India. This study revealed that SHS exposure was significantly negatively associated with a smoke-free status.

CONCLUSION

This study will help the policymakers to promote efficient policies for improving smoke-free status and to ensure a better environment both at home and in the workplace in India.

Decrease in Secondhand Smoke Exposure in Work and Public Places among Adults in the Philippines: An Analysis of the Global Adult Tobacco Survey, 2009 and 2015

The implementation of several tobacco control policies in the Philippines may have contributed to a decrease in secondhand smoke (SHS) exposure. We examined changes in SHS exposure at work and in public places between 2009 and 2015 among adults aged ≥15 years and interpreted these results within the tobacco policy landscape in the Philippines. We analyzed the Philippines Global Adult Tobacco Survey 2009 and 2015 data. We examined marginal effects in logistic regression to get the adjusted prevalence of SHS exposure at five work and public places, controlling for selected characteristics. We calculated adjusted prevalence ratios and adjusted prevalence differences between 2009 and 2015. Adjusted prevalence of SHS exposure decreased from 2009 to 2015 by 19% (5.7 percentage points) at work, 45% (11.2 percentage points) in government buildings, 48% (3.2 percentage points) in healthcare facilities, 29% (8.2 percentage points) in restaurants, and 33% (19.9 percentage points) on public transportation. Although the prevalence of SHS exposure at work and in public places decreased significantly between 2009 and 2015, a substantial proportion of adults remain exposed to SHS. This study highlights the importance of continued implementation, enforcement, monitoring, and evaluation of tobacco control and prevention measures in the Philippines.

"Tobacco denormalization at home": the contribution of the smoking ban in enclosed workplaces in Brazil

Estimates suggest that exposure to environmental tobacco smoke is related to 1.2 million deaths per year worldwide. Synergy between various anti-smoking legislative and educational measures is essential to stimulate cessation and prevent initiation. This article aimed to explore how legislative protection from exposure to environmental tobacco smoke in enclosed workplaces in Brazil, whose strengthening occurred in a phased manner between 1996 and 2014, possibly contributed to the protection from passive smoking at home. We evaluated, via generalized linear models, the absolute and relative differences in the proportion of individuals living in smoke-free homes between those exposed and not exposed to passive smoking in enclosed workplaces, both crude and adjusted by sociodemographic and smoking behavior variables, and stratified by non-smokers and smokers. Data from three national surveys conducted in 2008, 2013, and 2019 were used. Regardless of smoking status and year when the data were analyzed, individuals who were employed in smoke-free workplaces were more likely to live in smoke-free homes than smokers who were employed in workplaces that allowed smoking. Adjusted absolute difference increased from +5.5% in 2008 to +10.5% in 2013 among non-smokers, and from +7.1% in 2013 to 15.6% in 2019 among smokers (p-values for additive interaction ≤ 0.05). Strengthening the Brazilian smoke-free legislation was likely associated with a reduction in passive smoking at home, which, therefore, may also reduce the burden of mortality, morbidity, and costs for society related to smoking.

A Comprehensive Tobacco Control Policy Program in a Mining Industry in Indonesia: Did It Work?

Background

Risk factor controls, including smoking cessation and prevention, impact health costs. This study aimed to describe the Kaltim Prima Coal (KPC), one of Indonesia's largest coal mining operations, comprehensive tobacco control policy program in 2015 and its impact on smoking behavior among the employees.

Method

A survey among 404 employees was conducted to assess the impact of the smoke-free KPC programs. In addition to the descriptive analysis, logistic regression was used to measure the association of intention to the smoking behavior change and the association between intention and the determinants using the Theory of Planned Behavior in 102 smokers.

Results

A series of tobacco control programs: advocacy, health education, brief interventions for smoking cessation, peer counselor training, media campaigns, and policy regulations were implemented. About 95.5% of the respondents attended the KPC Smoke-Free 2015 programs, and 97.8% reported they already knew that KPC is a total smoke-free area. Nearly 50% of the respondents expressed that the staff complied with the rules and no longer smoked in KPC. Majority of smokers (76.6%) reduced their consumption, and 5.6% of them quit smoking. Among smokers, we found that attitude toward smoking cessation, subjective norm, and perceived control for quitting were related to the intention to stop smoking.

Conclusions

The KPC smoke-free policy has been comprehensively implemented. Regulations on smoking and tobacco controls should be maintained, and monitoring should be consistently done. Media campaigns on the regulations and the availability of trained peer educators for smoking cessation help need to be applied continuously.

The association of workplace smoke-free policies on individual smoking and quitting-related behaviours

Background

Our study aims to provide information about workplace smoke-free (SF) policy coverage in mainland China and to assess the relationship between workplace SF policies and secondhand smoke (SHS) exposure, current smoking, smoking harm awareness and quitting intention among smokers.

Method

Data from the 2018 Asia Best Workplace Mainland China programme were used to address these aims. This cross-sectional study included 14,195 employees from the 2018 survey and 14,953 employees from the 2019 survey. Logistic regression with year-fixed effects was applied to these data. The dependent variables were SHS exposure, smoking or smoking harm awareness. The explanatory variable was the SF workplace policy.

Results

A total of 21,275 participants (73.0%) reported working under SF policies. The overall prevalence of smoking and SHS exposure were 20.3% and 52.5%, respectively. The workplace SF policy was significantly associated with lower SHS exposure (OR: 0.48, 95% CI: 0.45–0.51), lower current smoking employees (OR: 0.81, 95% CI: 0.76–0.87) and higher awareness of smoking harm (OR: 1.76, 95% CI: 1.61–1.91). However, workplace SF policy was not significantly associated with quitting intention (OR: 0.99, 95% CI: 0.84–1.16).

Conclusion

Our study identified that although most companies had established workplace SF policies, the overall prevalence of SHS exposure remained very high. Workplace SF policy is associated with lower SHS exposure, lower overall current smoking and higher awareness of smoking harm. These findings provide valuable evidence to promote such policies in all workplaces.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-12395-z.

Developing and validating the Malay version instrument to assess knowledge, attitudes and practices regarding second-hand smoke in the workplace: a cross-sectional study in teaching hospital in Malaysia

This research sought to develop and validate the "Workplace Second-hand Smoke: Perception on the SHS Knowledge, Attitude, and Practice" (WSHS: PAP) instrument, which targets non-smoking employees. A cross-sectional study was conducted between April and June 2018 to validate WSHS: PAP among non-smoking employees at Universiti Malaya Medical Centre (UMMC). Experts were invited to validate the instrument. Then, for exploratory factor analysis, a cross-sectional study was conducted among 336 UMMC non-smoking employees who were recruited by convenience sampling. A total of 28 items on KAP, rated on five-point Likert scales, underwent exploratory factor analysis and were tested for internal consistency (Cronbach's alpha). Participants were approached after 2 weeks for the assessment of test-retest reliability. Cronbach's alpha was 0.828, 0.743 and 0.837, respectively, for the domains of perception of the knowledge, attitude and practice, indicating acceptable internal consistency (above 0.7). Exploratory factor analysis identified a one-factor solution for each of the KAP domains. Therefore, the Malay version of the WSHS: PAP instrument demonstrated satisfactory psychometric properties for the assessment of non-smoking employees in workplaces with a smoking ban.

Smoke-Free Air Interventions in Seven Latin American Countries: Health and Financial Impact to Inform Evidence-Based Policy Implementation

INTRODUCTION

Disease burden due to tobacco smoking in Latin America remains very high. The objective of this study was to evaluate the potential impact of implementing smoke-free air interventions on health and cost outcomes in Argentina, Bolivia, Brazil, Chile, Colombia, Mexico, and Peru, using a mathematical model.

AIMS AND METHODS

We built a probabilistic Monte Carlo microsimulation model, considering natural history, direct health system costs, and quality of life impairment associated with main tobacco-related diseases. We followed individuals in hypothetical cohorts and calculated health outcomes on an annual basis to obtain aggregated 10-year population health outcomes (deaths and events) and costs. To populate the model, we completed an overview and systematic review of the literature. Also, we calibrated the model comparing the predicted disease-specific mortality rates with those coming from local national statistics.

RESULTS

With current policies, for the next 10 years, a total of 137 121 deaths and 917 210 events could be averted, adding 3.84 million years of healthy life and saving USD 9.2 billion in these seven countries. If countries fully implemented smoke-free air strategies, it would be possible to avert nearly 180 000 premature deaths and 1.2 million events, adding 5 million healthy years of life and saving USD 13.1 billion in direct healthcare.

CONCLUSIONS

Implementing the smoke-free air strategy would substantially reduce deaths, diseases, and health care costs attributed to smoking. Latin American countries should not delay the full implementation of this strategy.

IMPLICATIONS

Tobacco smoking is the single most preventable and premature mortality cause in the world. The Framework Convention on Tobacco Control, supported by the World Health Organization, introduced a package of evidence-based measures for tobacco control. This study adds quality evidence on the potential health effects and savings of implementing smoke-free air policies in countries representing almost 80% of the Latin America and the Caribbean population.

Factors Influencing Implementation of a Workplace Tobacco Cessation Intervention in India: A Qualitative Exploration

BACKGROUND

Tobacco use is projected to cause more than 8 million deaths annually worldwide by 2030 and is currently linked to 1 million annual deaths in India. Very few workplaces provide tobacco cessation as a part of occupational health in India. In this study, we examined promoters and barriers to implementing an evidence-based tobacco cessation program in a workplace setting in India.

METHODS

In-depth interviews were conducted with all facilitators (two program coordinators and four counselors) of a workplace tobacco cessation intervention covering implementation efforts in five organizations, including three manufacturing units and two corporate settings.

FINDINGS

The identified promoters for implementation of the program were as follows: (a) workplaces that provided access to many individuals, (b) high prevalence of tobacco use that made the intervention relevant, (c) core components (awareness sessions, face-to-face counseling and 6-months follow-up) that were adaptable, (d) engagement of the management in planning and execution of the intervention, (e) employees' support to each other to quit tobacco, (f) training the medical unit within the workplace to provide limited advice, and (g) efforts to advocate tobacco-free policies within the setting. Barriers centered around (a) lack of ownership from the workplace management, (b) schedules of counselors not matching with employees, (c) nonavailability of employees because of workload, and (d) lack of privacy for counseling.

CONCLUSION/IMPLICATIONS FOR PRACTICE

This study provided practical insights into the aspects of planning, engaging, executing and the process of implementation of a tobacco cessation intervention in a workplace setting. It provided guidance for an intervention within occupational health units in similar settings.

Smoke-free workplaces are associated with smoke-free homes in India: evidence for action

India enacted a smoke-free law in 2003. It is believed that smoke-free workplaces will lead to more smoking in private places such as homes. The national Global Adult Tobacco Survey (GATS 2) India 2016-2017 collects information on the self-reported prevalence of SHS exposure in homes and workplaces. The present study utilised the GATS 2 dataset to establish the association between working in a smoke-free workplace and living in a smoke-free home. 70.1% of respondents who worked indoors reported smoke-free workplace; 64.5% of respondents reported that they live in a smoke-free home. Respondents who reported that their workplace was smoke-free were significantly more likely to live in smoke-free homes compared with those who are exposed to SHS at the workplace (69.5% vs 45.5%, AOR = 1.8, 95% CI 1.5-2.1). Males, urban residents, family with fewer members, non-smokers and non-smokeless tobacco users were significantly more likely to live in a smoke-free home. Significant differences were also observed with respect to religion, caste, region and education levels. Our results provide conclusive evidence to support that smoke-free workplaces influence smoke-free homes in India. Thus, it highlights the importance of accelerating the implementation of existing national tobacco control legislation on smoke-free public places.

Smokefree home rules and cigarette smoking intensity among smokers in different stages of smoking cessation from 20 low-and-middle income countries

Smokefree environment created by smokefree policies is associated with smoking reduction; however, there is paucity of literature on the relationship between smokefree home rules and smoking intensity in low-and-middle income countries (LMICs), and how smokefree policy affects smoking behavior of smokers at different stages of smoking cessation. This study examined the relationship between smokefree home rules and average number of cigarettes smoked per day (CPD) among daily smokers at different stages of the transtheoretical model (TTM) of change. Data from 18,718 current daily cigarette smokers from the Global Adult Tobacco Survey (GATS) conducted from 2011 to 2017 in 20 LMICs were analyzed. Weighted multivariable linear regression analyses were conducted using the log of CPD as the outcome variable with smokefree home rules as the exposure variable, controlling for selected covariates. Approximately 15% of the participants were in precontemplation, 5% were in preparation, 15% lived in partial smokefree homes, and 30% lived in complete smokefree homes. The average number of CPD was 12.3, 12.0, and 10.6 among participants living in homes where smoking was allowed, partial smokefree homes, and complete smokefree homes, respectively. Compared to living in homes where smoking was allowed, living in complete smokefree homes were associated with 22.5% (95%CI = 18.4%-26.5%), 17.9% (95%CI = 8.4%-27.3%), and 29.3% (95% CI = 17.1%-41.5%) fewer CPD among participants in precontemplation, contemplation, and preparation stages, respectively. These findings suggest that complete smokefree home policy will benefit smokers in LMICs irrespective of their intention to quit smoking in addition to protecting non-smokers from secondhand smoke exposure.

Secondhand Smoke Exposure and Depressive Symptoms in Children: A Longitudinal Study

INTRODUCTION

We investigated whether secondhand smoke (SHS) exposure is associated with depressive symptoms in a population-based sample of children.

METHODS

Never-smoking students from 29 French-language elementary schools in Greater Montréal, Canada, were followed from 5th to 11th grade (2005-2011) in five waves: 1 (5th grade), 2 (spring 6th grade), 3 (7th grade), 4 (9th grade), and 5 (11th grade). Associations between depressive symptoms and SHS exposure at home and in cars were examined in cross-sectional and longitudinal gamma generalized regression models adjusted for sex, maternal education, and neighborhood socioeconomic status.

RESULTS

The sample comprised 1553 baseline never-smokers (mean [SD] age = 10.7 [0.5] years; 44% male; 89% French-speaking). SHS exposure at home and in cars was associated with higher depressive symptom scores in cross-sectional analyses pooled across grades and adjusted for demographics (B [95% confidence interval (CI)] = 0.041 [0.017 to 0.068] for home exposure; 0.057 [0.030 to 0.084] for car exposure). In longitudinal analyses from fifth to sixth grade, B (95% CI), adjusted for demographics and baseline depressive symptoms, was 0.042 (0.003 to 0.080) for home exposure and 0.061 (0.019 to 0.103) for car exposure. From sixth to seventh grade, B (95% CI) was 0.057 (0.003 to 0.110) for home exposure and 0.074 (0.015 to 0.133) for car exposure. SHS exposure at any age did not predict depressive symptoms 2 years later.

CONCLUSIONS

SHS exposure is associated with depressive symptoms in young persons, both concurrently and 1 year later. This finding adds to the evidence base supporting that children should be protected from SHS exposure.

IMPLICATIONS

SHS exposure has deleterious effects on physical health and results of this study raise concerns that such exposure might also affect the mental health of young persons. Clearly, protecting children from SHS in all locations is a critical public health priority. Although research is needed to determine if the association between SHS exposure and depressive symptoms is causal, continued implementation of smoking bans and educational efforts to discourage smoking in vehicles when children are present are warranted.

Investigating the effect of England's smoke-free private vehicle regulation on changes in tobacco smoke exposure and respiratory disease in children: a quasi-experimental study

BACKGROUND

Comprehensive tobacco control policies can help to protect children from tobacco smoke exposure and associated adverse respiratory health consequences. We investigated the impact of England's 2015 regulation that prohibits smoking in a private vehicle with children present on changes in environmental tobacco smoke exposure and respiratory health in children.

METHODS

In this quasi-experimental study, we used repeated cross-sectional, nationally representative data from the Health Survey for England from Jan 1, 2008, to Dec 31, 2017, of children aged up to 15 years. We did interrupted time series logistic or ordinal regression analyses to assess changes in prevalence of self-reported respiratory conditions, prevalence of self-reported childhood tobacco smoke exposure (children aged 8-15 years only), and salivary cotinine levels (children aged 2 years or older) before and after implementation of the smoke-free private vehicle regulation on Oct 1, 2015. Children who were considered active smokers were excluded from the analyses of salivary cotinine levels. Our primary outcome of interest was self-reported current wheezing or asthma, defined as having medicines prescribed for these conditions. Analyses were adjusted for underlying time trends, quarter of year, sex, age, Index of Multiple Deprivation quintile, and urbanisation level.

FINDINGS

21 096 children aged 0-15 years were included in our dataset. Implementation of the smoke-free private vehicle regulation was not associated with a demonstrable change in self-reported current wheezing or asthma (adjusted odds ratio 0·81, 95% CI 0·62-1·05; p=0·108; assessed in 13 369 children), respiratory conditions (1·02, 0·80-1·29; p=0·892; assessed in 17 006 children), or respiratory conditions probably affecting stamina, breathing, or fatigue (0·75, 0·47-1·19; p=0·220; assessed in 12 386 children). Self-reported tobacco smoke exposure and salivary cotinine levels generally decreased over the study period. There was no additional change in self-reported tobacco smoke exposure in cars among children aged 8-15 years following the legislation (0·77, 0·51-1·17; p=0·222; assessed in 5399 children). We observed a relative increase in the odds of children having detectable salivary cotinine levels post legislation (1·36, 1·09-1·71; p=0·0074; assessed in 7858 children) and levels were also higher (1·30, 1·04-1·62; p=0·020; ordinal variable). Despite introduction of the regulation, one in 20 children still reported being regularly exposed to tobacco smoke in cars and one in three still had detectable salivary cotinine levels.

INTERPRETATION

We found no demonstrable association between the implementation of England's smoke-free private vehicle regulation and changes in children's self-reported tobacco smoke exposure or respiratory health. There is an urgent need to develop more effective approaches to protect children from tobacco smoke in various places, including in private vehicles.

FUNDING

Netherlands Lung Foundation, Erasmus MC, Farr Institute, Health Data Research UK, Asthma UK Centre for Applied Research, Academy of Medical Sciences, and Newton Fund.

A Qualitative Study about Creating Smoke-free Home Rules in American Indian and Alaska Native Households

Smoke-free homes can reduce exposure to secondhand smoke (SHS) and support smoking cessation. The current study seeks to understand perspectives, including barriers and facilitators, on smoke-free homes among five American Indian/Alaska Native (AI/AN) communities. Guided by a national work group of tribal partners, ten focus groups were conducted with AI/AN adult smokers and nonsmokers (n = 95) in Alaska, California, Michigan and Oklahoma, stratified by smoking status. The majority of participants lived in single unit detached homes (70.5%). Most of the nonsmokers had a smoke-free home rule (92.9%) and a majority of smokers did as well (64.7%). The most common reasons for smoke-free home rules were protecting children and grandchildren, including children with health problems. Challenges to a smoke-free home included weather and visitors who smoked, along with the inconvenience of going outside, the habit of smoking inside, the need to watch a young child, safety concerns, and smokers who break the rules. Respecting rules and respecting elders emerged as important themes. Traditional use of tobacco in the home was viewed as quite distinct from recreational or everyday use. Over half (58.2%) reported never using tobacco for ceremonial, prayer or traditional reasons in their homes. Given unique considerations for the adoption of smoke-free homes in AI/AN communities, particularly regarding the use of sacred tobacco for traditional, ceremonial, or medicinal purposes, it is important to learn which barriers and facilitators are similar to the general population and which may be unique to tribal communities in the U.S.

Effects of smoking bans on passive smoking exposure at work and at home. The European Community respiratory health survey

This longitudinal study investigated whether smoking bans influence passive smoking at work and/or at home in the same subjects. Passive smoking at work and/or at home was investigated in random population samples (European Community Respiratory Health Survey) in 1990-1995, with follow-up interviews in 1998-2003 and 2010-2014. National smoking bans were classified as partial (restricted to public workplaces) or global (extended to private workplaces). Multivariable analysis was accomplished by three-level logistic regression models, where level-1, level-2, and level-3 units were, respectively, questionnaire responses, subjects, and centers. Passive smoking at work was reported by 31.9% in 1990-1995, 17.5% in 1998-2003, and 2.5% in 2010-2014. Concurrently, passive smoking at home decreased from 28.9% to 18.2% and 8.8%. When controlling for sex, age, education, smoking status, and ECHRS wave, the odds of passive smoking at work was markedly reduced after global smoking bans (OR = 0.45, 95% CI 0.25-0.81), particularly among non-smokers, while the protective effect of global smoking bans on passive smoking at home was only detected in non-smokers. Smoking bans both in public and private workplaces were effective in reducing passive smoking at work in Europe. However, given the inefficacy of smoking bans in current smokers' dwellings, better strategies are needed to avoid smoking indoors.

Is the implementation of smoke-free policies at workplaces associated with living in a smoke-free home?: Findings from a national population-based study in Malaysia

INTRODUCTION

Studies have shown that the implementation of smoke-free policies at workplaces have shifted the social norms towards secondhand smoke (SHS) exposure at home. This study aimed to investigate whether working in a smoke-free workplace is associated with living in a smoke-free home (SFH).

METHODS

The data were derived from the Malaysian Global Adult Tobacco Survey (GATS-M), collected in 2011-2012, involving 4250 respondents. Data analyses involved 1343 respondents reported to be in the working population.

RESULTS

More than half of the respondents (58.5%) were reportedly working in smoke-free workplaces. Almost a quarter (24.8%) of those who worked in smoke-free workplaces stayed in smoke-free homes, which was more than two times higher than their counterparts who worked at non-smoke-free workplaces (24.8% vs 12.0%, p<0.001). Multivariable analyses further substantiated this finding (AOR=2.01, 95% CI: 1.11-3.61, reference group = worked at non-smoke-free workplaces).

CONCLUSIONS

This study found an association between living in smoke-free homes and working at smoke-free workplaces, which could suggest a positive impact of implementing smoke-free workplaces.

Passive Smoking at Home by Socioeconomic Factors in a Japanese Population: NIPPON DATA2010

BACKGROUND

Long-term passive exposure to cigarette smoke has been reported to affect the health of non-smokers. This study aims to investigate the relationships among socioeconomic factors and passive smoking at home in the non-current smokers of a representative sample from a general Japanese population.

METHODS

Data are from NIPPON DATA2010. Among 2,891 participants, 2,288 non-current smokers (1,763 never smokers and 525 past smokers) were analyzed in the present study. Cross-sectional analyses were performed on the relationships among socioeconomic factors and passive smoking at home (several times a week or more) in men and women separately. Socioeconomic factors were employment, length of education, marital status, and equivalent household expenditure. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using a multivariable logistic regression model.

RESULTS

The multivariable-adjusted model showed that employed women had a higher risk of passive smoking than unemployed women (OR 1.44; 95% CI, 1.06-1.96). Women with 9 years or less of education had a higher risk of passive smoking at home than women with 13 years and more of education (OR 2.37; 95% CI, 1.49-3.78). Single women had a lower risk of passive smoking at home (OR 0.53; 95% CI, 0.37-0.77) than married women. No significant associations were observed in men.

CONCLUSIONS

An employed status, lower education, and being single were associated with passive smoking at home in the non-current smoking women of a representative Japanese population.

Effect of tobacco control policies on perinatal and child health: a systematic review and meta-analysis

BACKGROUND

Tobacco smoking and smoke exposure during pregnancy and childhood cause considerable childhood morbidity and mortality. We did a systematic review and meta-analysis to investigate whether implementation of WHO's recommended tobacco control policies (MPOWER) was of benefit to perinatal and child health.

METHODS

We searched 19 electronic databases, hand-searched references and citations, and consulted experts to identify studies assessing the association between implementation of MPOWER policies and child health. We did not apply any language restrictions, and searched the full time period available for each database, up to June 22, 2017. Our primary outcomes of interest were perinatal mortality, preterm birth, hospital attendance for asthma exacerbations, and hospital attendance for respiratory tract infections. Where possible and appropriate, we combined data from different studies in random-effects meta-analyses. This study is registered with PROSPERO, number CRD42015023448.

FINDINGS

We identified 41 eligible studies (24 from North America, 16 from Europe, and one from China) that assessed combinations of the following MPOWER policies: smoke-free legislation (n=35), tobacco taxation (n=11), and smoking cessation services (n=3). Risk of bias was low in 23 studies, moderate in 16, and high in two. Implementation of smoke-free legislation was associated with reductions in rates of preterm birth (-3·77% [95% CI -6·37 to -1·16]; ten studies, 27 530 183 individuals), rates of hospital attendance for asthma exacerbations (-9·83% [-16·62 to -3·04]; five studies, 684 826 events), and rates of hospital attendance for all respiratory tract infections (-3·45% [-4·64 to -2·25]; two studies, 1 681 020 events) and for lower respiratory tract infections (-18·48% [-32·79 to -4·17]; three studies, 887 414 events). Associations appeared to be stronger when comprehensive smoke-free laws were implemented than when partial smoke-free laws were implemented. Among two studies assessing the association between smoke-free legislation and perinatal mortality, one showed significant reductions in stillbirth and neonatal mortality but did not report the overall effect on perinatal mortality, while the other showed no change in perinatal mortality. Meta-analysis of studies on other MPOWER policies was not possible; all four studies on increasing tobacco taxation and one of two on offering disadvantaged pregnant women help to quit smoking that reported on our primary outcomes had positive findings. Assessment of publication bias was only possible for studies assessing the association between smoke-free legislation and preterm birth, showing some degree of bias.

INTERPRETATION

Smoke-free legislation is associated with substantial benefits to child health. The majority of studies on other MPOWER policies also indicated a positive effect. These findings provide strong support for implementation of such policies comprehensively across the world.

FUNDING

Chief Scientist Office Scotland, Farr Institute, Netherlands Lung Foundation, Erasmus MC.

Intentions to quit tobacco smoking in 14 low- and middle-income countries based on the transtheoretical model

INTRODUCTION

Over 80% of the world's one billion tobacco smokers reside in low- and middle-income countries (LMICs); therefore, it is important to understand factors that promote intention to quit smoking in these countries. This study evaluated factors associated with three stages of intention to quit tobacco smoking among adults in LMICs.

METHODS

Data from 43,540 participants of the Global Adult Tobacco Survey in 14 LMICs were analyzed. Intentions to quit smoking were categorized into precontemplation (referent category), contemplation, and preparation stages based on the transtheoretical model. A multinomial logit model was used to estimate odds ratios (OR) and 95% confidence intervals (CI).

RESULTS

Approximately 82%, 14%, and 4% of the smokers were in precontemplation, contemplation, and preparation stages, respectively. Rural residents had increased odds of being in contemplation stage (OR=1.41, 95% CI=1.09-1.83) compared to urban residents. Compared to homes where smoking was allowed, smoke-free homes were associated with increased odds of contemplation (OR=1.77, 95% CI=1.41-2.23) and preparation (OR=2.18, 95% CI=1.78-2.66). Exposure to anti-smoking messages in more than one media channel was associated with increased odds of contemplation (OR=1.60, 95% CI=1.33-1.92) and preparation (OR=1.73, 95% CI=1.28-2.33) compared to no exposure to anti-smoking messages.

CONCLUSION

The results suggest that anti-smoking media campaigns and smoke-free policies may promote intention to quit smoking in LMICs. While these suggest the need for implementation of comprehensive anti-smoking campaigns and smoke-free policies, longitudinal studies are required to confirm these findings and to evaluate how intention to quit translates into quit attempts in LMICs.

Smoke-free legislation and child health

In this paper, we aim to present an overview of the scientific literature on the link between smoke-free legislation and early-life health outcomes. Exposure to second-hand smoke is responsible for an estimated 166 ,000 child deaths each year worldwide. To protect people from tobacco smoke, the World Health Organization recommends the implementation of comprehensive smoke-free legislation that prohibits smoking in all public indoor spaces, including workplaces, bars and restaurants. The implementation of such legislation has been found to reduce tobacco smoke exposure, encourage people to quit smoking and improve adult health outcomes. There is an increasing body of evidence that shows that children also experience health benefits after implementation of smoke-free legislation. In addition to protecting children from tobacco smoke in public, the link between smoke-free legislation and improved child health is likely to be mediated via a decline in smoking during pregnancy and reduced exposure in the home environment. Recent studies have found that the implementation of smoke-free legislation is associated with a substantial decrease in the number of perinatal deaths, preterm births and hospital attendance for respiratory tract infections and asthma in children, although such benefits are not found in each study. With over 80% of the world’s population currently unprotected by comprehensive smoke-free laws, protecting (unborn) children from the adverse impact of tobacco smoking and SHS exposure holds great potential to benefit public health and should therefore be a key priority for policymakers and health workers alike.

Secondhand smoke exposure at home among one billion children in 21 countries: findings from the Global Adult Tobacco Survey (GATS)

OBJECTIVE

Children are vulnerable to secondhand smoke (SHS) exposure because of limited control over their indoor environment. Homes remain the major place where children may be exposed to SHS. Our study examines the magnitude, patterns and determinants of SHS exposure in the home among children in 21 countries (19 low-income and middle-income countries and 2 high-income countries).

METHODS

Global Adult Tobacco Survey (GATS) data, a household survey of people 15 years of age or older. Data collected during 2009-2013 were analysed to estimate the proportion of children exposed to SHS in the home. GATS estimates and 2012 United Nations population projections for 2015 were also used to estimate the number of children exposed to SHS in the home.

RESULTS

The proportion of children younger than 15 years of age exposed to SHS in the home ranged from 4.5% (Panama) to 79.0% (Indonesia). Of the approximately one billion children younger than 15 years of age living in the 21 countries under study, an estimated 507.74 million were exposed to SHS in the home. China, India, Bangladesh, Indonesia and the Philippines accounted for almost 84.6% of the children exposed to SHS. The prevalence of SHS exposure was higher in countries with higher adult smoking rates and was also higher in rural areas than in urban areas, in most countries.

CONCLUSIONS

A large number of children were exposed to SHS in the home. Encouraging of voluntary smoke-free rules in homes and cessation in adults has the potential to reduce SHS exposure among children and prevent SHS-related diseases and deaths.

The Global Laboratory of Tobacco Control: Research to Advance Tobacco Cessation in LMICs

For over half a century, the U.S. National Cancer Institute (NCI) has supported research on tobacco and health, which has contributed to reductions in tobacco-caused morbidity and mortality in the U.S. But while tobacco use has been slowly declining in most high-income nations, including the US, it has continued to increase in other parts of the globe. Of the 800 million adult men who currently smoke cigarettes, over 80% are in low- and middle-income countries (LMICs), and these countries will bear an increasing share of the health and economic burden of tobacco use. At the same time, there are additional challenges to implementing tobacco control programs in LMICs, including a diversity of tobacco products, limited capacity and resources for tobacco control, and competing health priorities. While a large body of evidence has been generated around tobacco dependence treatment and other measures in high-income countries, this work is only partly applicable to many LMICs. In this paper we focus on research needs and opportunities around tobacco cessation interventions for LMICs, highlighting four areas: understanding diverse tobacco products, development of low-cost cessation interventions, integrating tobacco cessation into health systems, and understanding tobacco use behaviors across different contexts. Expanding tobacco control research and research capacity in LMICs is crucial to reducing tobacco use and cancer rates worldwide. Furthermore, research conducted in countries around the world can yield important insights for understanding tobacco use behaviors and the effectiveness of tobacco control interventions in the US.

Who smokes in smoke-free public places in China? Findings from a 21 city survey

Efforts toward controlling secondhand smoke in public places have been made throughout China. However, in contrast to the western world, significant challenges remain for effectively implementing smoke-free regulations. This study explores individual and regional factors which influence smoking in smoke-free public places. Participants included 16 866 urban residents, who were identified through multi-stage sampling conducted in 21 Chinese cities. The reported smoking prevalence in smoke-free public places was 41.2%. Of those who smoked in smoke-free public places, 45.9% had been advised to stop smoking. Participants stated that no-smoking warnings/signs with 'please' in the statement had a better likelihood of gaining compliance and preventing smoking in public spaces. Multilevel logistic regression analysis showed that ethnicity, education, occupation, type of smoking, age of smoking initiation, smoking situation, stress, household smoking restrictions and city population were all associated with smoking in smoke-free public places. Interestingly local smoke-free regulations were not associated with smoking in public places. The findings underscore that efforts to restrict smoking in public places in China should emphasize strong enforcement, while simultaneously raising public awareness of the perils of second hand smoke.

Socioeconomic Inequalities in Secondhand Smoke Exposure at Home and at Work in 15 Low- and Middle-Income Countries

Introduction:

In high-income countries, secondhand smoke (SHS) exposure is higher among disadvantaged groups. We examine socioeconomic inequalities in SHS exposure at home and at workplace in 15 low- and middle-income countries (LMICs).

Methods:

Secondary analyses of cross-sectional data from 15 LMICs participating in Global Adult Tobacco Survey (participants ≥ 15 years; 2008–2011) were used. Country-specific analyses using regression-based methods were used to estimate the magnitude of socioeconomic inequalities in SHS exposure: (1) Relative Index of Inequality and (2) Slope Index of Inequality.

Results:

SHS exposure at home ranged from 17.4% in Mexico to 73.1% in Vietnam; exposure at workplace ranged from 16.9% in Uruguay to 65.8% in Bangladesh. In India, Bangladesh, Thailand, Malaysia, Philippines, Vietnam, Uruguay, Poland, Turkey, Ukraine, and Egypt, SHS exposure at home reduced with increasing wealth (Relative Index of Inequality range: 1.13 [95% confidence interval [CI] 1.04–1.22] in Turkey to 3.31 [95% CI 2.91–3.77] in Thailand; Slope Index of Inequality range: 0.06 [95% CI 0.02–0.11] in Turkey to 0.43 [95% CI 0.38–0.48] in Philippines). In these 11 countries, and in China, SHS exposure at home reduced with increasing education. In India, Bangladesh, Thailand, and Philippines, SHS exposure at workplace reduced with increasing wealth. In India, Bangladesh, Thailand, Philippines, Vietnam, Poland, Russian Federation, Turkey, Ukraine, and Egypt, SHS exposure at workplace reduced with increasing education.

Conclusion:

SHS exposure at homes is higher among the socioeconomically disadvantaged in the majority of LMICs studied; at workplaces, exposure is higher among the less educated. Pro-equity tobacco control interventions alongside targeted efforts in these groups are recommended to reduce inequalities in SHS exposure.

Implications:

SHS exposure is higher among the socioeconomically disadvantaged groups in high-income countries. Comprehensive smoke-free policies are pro-equity for certain health outcomes that are strongly influenced by SHS exposure. Using nationally representative Global Adult Tobacco Survey (2008–2011) data from 15 LMICs, we studied socioeconomic inequalities in SHS exposure at homes and at workplaces. The study showed that in most LMICs, SHS exposure at homes is higher among the poor and the less educated. At workplaces, SHS exposure is higher among the less educated groups. Accelerating implementation of pro-equity tobacco control interventions and strengthening of efforts targeted at the socioeconomically disadvantaged groups are needed to reduce inequalities in SHS exposure in LMICs.

Smoke-Free Workplaces Are Associated with Protection from Second-Hand Smoke at Homes in Nigeria: Evidence for Population-Level Decisions

The evidence suggests that smoke-free workplace policies may change social norms towards exposing others to second-hand smoke at home. The aim of the study was to assess whether being employed in a smoke-free workplace (SFWP) is associated with living in a smoke-free home (SFH). We used the data from the Global Adult Tobacco Survey conducted in Nigeria in 2012, in which 9,765 individuals were interviewed including 1,856 persons who worked indoors. The percentage of Nigerians employed in SFWP that reported living in a SFH was higher compared to those employed in a workplace where smoking occurred (95% versus 73%). Working in a SFWP was associated with a significantly higher likelihood of living in a SFH (OR = 5.3; p < 0.001). Urban inhabitants indicated more frequently that they lived in SFH compared to rural residents (OR = 2.0; p = 0.006). The odds of living in a SFH were significantly higher among nonsmokers and nonsmokeless tobacco users compared to smokers and smokeless tobacco users (OR = 28.8; p < 0.001; OR = 7.0; p < 0.001). These findings support the need for implementation of comprehensive smoke-free policies in Nigeria that result in substantial health benefits.

Impact of smoke-free legislation on perinatal and infant mortality: a national quasi-experimental study

Smoke-free legislation is associated with improved early-life outcomes; however its impact on perinatal survival is unclear. We linked individual-level data with death certificates for all registered singletons births in England (1995–2011). We used interrupted time series logistic regression analysis to study changes in key adverse perinatal events following the July 2007 national, comprehensive smoke-free legislation. We studied 52,163 stillbirths and 10,238,950 live-births. Smoke-free legislation was associated with an immediate 7.8% (95%CI 3.5–11.8; p < 0.001) reduction in stillbirth, a 3.9% (95%CI 2.6–5.1; p < 0.001) reduction in low birth weight, and a 7.6% (95%CI 3.4–11.7; p = 0.001) reduction in neonatal mortality. No significant impact on SIDS was observed. Using a counterfactual scenario, we estimated that in the first four years following smoke-free legislation, 991 stillbirths, 5,470 cases of low birth weight, and 430 neonatal deaths were prevented. In conclusion, smoke-free legislation in England was associated with clinically important reductions in severe adverse perinatal outcomes.

Effect of Uruguay's National 100% Smokefree Law on Emergency Visits for Bronchospasm

INTRODUCTION

Implementation of smokefree laws is followed by drops in hospital admissions for cardiovascular diseases and asthma. The impact of smokefree laws on use of non-hospital medical services has not been assessed. The purpose of this study is to evaluate the impact of Uruguay's national 100% smokefree legislation on non-hospital emergency care visits, hospitalizations for bronchospasm, and bronchodilator use.

METHODS

The monthly number of non-hospital emergency care visits and hospitalizations for bronchospasm, as well as monthly puffs of bronchodilators (total and per person), from 3 years prior to the adoption of the 100% smokefree policy on March 1, 2006, through 5 years after the policy were assessed using interrupted time series negative binomial regression. Data analysis was conducted in 2014.

RESULTS

The incidence of non-hospital emergency visits for bronchospasm decreased by 15% (incidence rate ratio [IRR]=0.85, 95% CI=0.76, 0.94) following implementation of the law. Hospitalizations for bronchospasm did not change significantly (IRR=0.89, 95% CI=0.66, 1.21). Total monthly puffs of salbutamol and ipratropium administered in the non-hospital emergency setting decreased by 224 (95% CI=-372, -76) and 179 (95% CI=-340, -18.6), respectively, from means of 1,222 and 1,007 before the law.

CONCLUSIONS

Uruguay's 100% smokefree law was followed by fewer emergency visits for bronchospasm and less need for treatment, supporting adoption of such policies in low- and middle-income countries to reduce the disease burden and healthcare costs associated with smoking.

Smoke-free legislation and childhood hospitalisations for respiratory tract infections

Second-hand smoke exposure is a major risk factor for respiratory tract infections (RTIs). Although evidence suggests important early-life health benefits of smoke-free public environments, the impact on childhood RTIs is unclear. We investigated the association between England's smoke-free legislation and childhood RTI hospitalisations.

We used the Hospital Episode Statistics database to obtain nationwide data on hospital admissions for acute RTIs among children (<15 years of age) from 2001 to 2012. Hospitalisation counts were disaggregated by month, age group, sex and small-area level, and linked to urbanisation, region, deprivation index and corresponding population estimates. Negative binomial regression analyses were adjusted for confounders, seasonal variation, temporal autocorrelation, population-size changes and underlying incidence trends. Models allowed for sudden and gradual changes following the smoke-free legislation. We performed sensitivity and subgroup analyses, and estimated number of events prevented.

We analysed 1 651 675 hospital admissions. Introduction of smoke-free legislation was followed by an immediate reduction in RTI admissions (−3.5%, 95% CI −4.7– −2.3%), this mainly being attributable to a decrease in lower RTI admissions (−13.8%, 95% CI −15.6– −12.0%). The reductions in admissions for upper RTI were more incremental.

The introduction of national smoke-free legislation in England was associated with ∼11 000 fewer hospital admissions per year for RTIs in children.

Secondhand smoke exposure, indoor smoking bans and smoking-related knowledge in China

Although previous studies have provided strong evidence that Chinese individuals are exposed to secondhand smoke (SHS) and lack knowledge of its harmful effects, there has not been an in-depth exploration of the variability in exposure and knowledge by geographic region, occupation, and socioeconomic status. The objectives of this study were to examine: (1) the demographic factors associated with the level of knowledge of the harmful effects of smoking; (2) the factors related to implementation of in-home and workplace smoking bans; and (3) geographic differences in being exposed to SHS in government buildings, healthcare facilities, restaurants, public transportations, and schools. We used data from the 2010 Global Adult Tobacco Survey-China. Chi-square tests were used for statistical analysis. The results suggested that among Chinese citizens age 15 years and older, there is poor knowledge of the harmful effects of tobacco, and knowledge varies with region and socioeconomic status. Over three-quarters of the households had no smoking restrictions, and a large percentage of workers reported working in places with no smoking ban. In public places, exposure to SHS was high, particularly in rural areas and in the Southwest. These results suggest Chinese individuals are not well informed of smoking and SHS associated risks and are regularly exposed to SHS at home, work and public places.

Smoking restrictions in homes after implementation of a smoking ban in public places

INTRODUCTION

This Canadian study examines the prevalence of smoking restrictions in homes before and after the implementation of a public smoking ban, and their relation to tobacco use and cessation among a cohort of smokers.

METHODS

Data were from a longitudinal cohort study of 1,058 smokers in the province of Québec, Canada. Baseline data were collected through a population-based survey conducted 1 month before the implementation of the smoking ban with a representative sample of smokers. Follow-up data were collected 18 months after the ban with a response rate of 68%. Logistic regressions, paired t tests and chi-square statistics were used to examine the factors associated with smoking restrictions in homes, cigarette consumption, and quit attempts.

RESULTS

Many smokers imposed partial or full smoking restrictions in their homes but proportions of smoke-free homes did not change significantly between baseline and follow-up. The presence of young children and nonsmokers significantly predicted full smoking restriction in the home. Knowledge about risks associated with exposure to secondhand smoke (SHS) and skepticism about the efficacy of methods to reduce exposure in the home also predicted maintenance of voluntary smoking restrictions in homes. The uptake of smoke-free homes was not associated with the quantity of cigarettes smoked or quit attempts.

CONCLUSIONS

No significant change in home smoking bans was found 18 months after implementation of a public smoking ban. There remains a need for efforts to better inform smokers about health risks from exposure to SHS in homes and the reality that strategies other than a total smoking ban inside the home are ineffective.

Prevalence and determinants of secondhand smoke exposure among women in Bangladesh, 2011

BACKGROUND AND OBJECTIVES

The population of Bangladesh is highly susceptible to secondhand smoke (SHS) exposure due to high smoking rates and low awareness about the harmful effects of SHS. This study aims to determine the prevalence of SHS exposure and highlight the essential determinants in developing successful strategies to prevent adverse health effects in Bangladesh.

METHODS

The analysis is based on the Bangladesh Demographic Health Survey 2011, in which 17,749 women in the reproductive age group (12-49 years) were included. The information regarding SHS exposure at home was derived from the question: "How often does anyone smoke inside your house?" The variable was recoded into 3 groups: daily exposure, low exposure (exposed weekly, monthly, or less than monthly), and no SHS exposure. We performed descriptive and bivariable analyses and multinomial logistic regression.

RESULTS

A total of 46.7% of the women reported high exposure to SHS at home. According to the multinomial logistic regression model, relatively lower education and lower wealth index were significantly associated with daily SHS exposure at home. The exposure differed significantly between the divisions of Bangladesh. Having children at home (vs. not) and being Islamic (compared to other religious affiliations) were protective factors.

CONCLUSIONS

The study indicates that women from socioeconomically disadvantaged households are more likely to experience daily exposure to SHS at home. Therefore, especially these groups have to be targeted to reduce tobacco consumption. In addition to aspects of legislation, future strategies need to focus educational aspects to improve the population's health status in Bangladesh.

The relationship between waterpipe and cigarette smoking in low and middle income countries: cross-sectional analysis of the global adult tobacco survey

INTRODUCTION

Waterpipe tobacco smoking is receiving growing attention due to accumulating evidence suggesting increasing prevalence in some populations and deleterious health effects. Nevertheless, the relationship between waterpipe and cigarette smoking remain unknown, particularly in low and middle income countries.

MATERIALS AND METHODS

We analysed waterpipe and cigarette smoking using data from Global Adult Tobacco Survey, a household survey of adults aged ≥15 years conducted between 2008-2010 in LMICs. Factors associated with waterpipe and cigarette use were assessed using multiple logistic regression. Factors associated with the quantity of waterpipe and cigarette smoking were assessed using log-linear regression models.

RESULTS

After adjusting for age, gender, residence, education, occupation and smokeless tobacco use, waterpipe smoking was significantly higher among cigarette users than in non-cigarette users in India (5.6% vs. 0.6%, AOR 13.12, 95% CI 7.41-23.23) and Russia (6.7% vs. 0.2%, AOR 27.73, 95% CI 11.41-67.43), but inversely associated in Egypt (2.6% vs. 3.4%, AOR 0.21, 95% CI 0.15-0.30) and not associated in Vietnam (13.3% vs. 4.7%, AOR 0.96, 95% CI 0.74-1.23). Compared to non-cigarette smokers, waterpipe smokers who also used cigarettes had more waterpipe smoking sessions per week in Russia (1.3 vs. 2.9, beta coefficient 0.31, 95% CI 0.06, 0.57), but less in Egypt (18.2 vs. 10.7, beta coefficient -0.45, 95% CI -0.73, -0.17) and Vietnam (102.0 vs. 79.3, beta coefficient -0.31, 95% CI -0.56, -0.06) and similar amounts in India (29.4 vs. 32.6, beta coefficient -0.12, 95% CI -0.46, 0.22).

CONCLUSIONS

Waterpipe smoking is low in most LMICs but important country-level differences in use, including concurrent cigarette smoking, should be taken into account when designing and evaluating tobacco control interventions.