The effect of smoke-free homes on adult smoking behavior: a review

Risk Factors for E-Cigarette Ban Relaxation in Homes With Adolescents

PURPOSE

To identify risk factors for relaxing a strict e-cigarette ban in households with adolescents.

METHODS

Youth (ages 12-17) in the Population Assessment of Tobacco and Health (PATH) Study whose parents held a strict vaping ban in 2016 (n = 6,514; 51.5% male) and their parents provided follow-up data on up to four occasions through 2020 on whether the ban was relaxed.

RESULTS

13.5% of households with strict vaping bans relaxed them in a subsequent wave. Results from a logistic regression model showed that the odds of relaxing strict bans were higher if, at baseline, parents vaped (OR = 2.20; 95% CI: 1.22-3.97; p < .01), parents smoked tobacco (OR = 2.55; CI: 2.00-3.26; p < .001), youth smoked tobacco (OR = 2.27; CI: 1.29-4.00; p < .01), parents reported no smoking ban (OR = 2.68; CI: 1.88-3.81; p < .001), youth did not know that their household had a vaping ban (OR = 1.95; CI: 1.50-2.54; p < .001), and parents perceived low harm from vaping (OR = 1.60; CI: 1.16-2.19; p < .01). Although most sociodemographic controls were not independently associated, parents were less likely to relax bans if they had a college degree (OR = 0.71; CI: 0.51-0.998; p < .05), graduate degree (OR = 0.50; CI: 0.43-0.72; p < .001), or children who were non-Hispanic Black (OR = 0.69; CI: 0.49-0.96; p < .05) or Hispanic (OR = 0.62; CI: 0.47-0.81; p < .001).

DISCUSSION

While most households with adolescents prohibited e-cigarette use indoors, nearly one in seven relaxed prior strict vaping bans. Parents need support to maintain clear, consistent, and continuous restrictions that communicate that vaping is not safe or permissible for youth.

Prevalence and factors associated with second hand smoke exposure among a sample of pregnant women in Cairo, Egypt

PURPOSE

This study estimated the prevalence of and factors associated with secondhand smoke (SHS) exposure, and assessed attitudes and knowledge about SHS among pregnant women in Cairo, Egypt.

METHODS

Pregnant women in the third trimester were recruited to participate in a survey assessing tobacco smoking and SHS exposure during their current pregnancy. Participants were recruited from three antenatal clinics in Cairo, Egypt, from June 2015 to May 2016. We examined differences in sociodemographic characteristics and SHS exposure, attitudes, and knowledge by smoking/SHS status. We used multivariable ordinary least squares regression to examine the association between husbands' smoking and pregnant women's mean daily hours of SHS exposure, adjusting for women's smoking status, age group, education, and urban (vs. suburban/rural) residence.

RESULTS

Of two hundred pregnant women aged 16-37 years, about two-thirds (69%) had a husband who smoked tobacco. During their current pregnancy, most women reported being non-smokers (71%), and 38% of non-smokers reported being SHS-exposed. Non-smokers exposed to SHS tended to live in more rural areas and have husbands who smoked in the home. In adjusted analyses, having a husband who smoked was significantly associated with a greater mean number of hours of SHS exposure per day exposed, and this difference was driven by husbands who smoked in the home (p < 0.001). Women in the SHS-exposed group were less likely than other groups to agree that SHS exposure was harmful to their own or their future child's health; however, all groups agreed that SHS was harmful to newborn health.

CONCLUSION

Among our sample of pregnant women in Cairo, Egypt, there was a high rate of SHS exposure as well as misconceptions about the safety of SHS exposure to a developing fetus. Our findings suggest a need for targeted education and gender-sensitive messaging about SHS exposure, along with improved enforcement of existing tobacco control policies.

Quasi-experimental study on the impact of local smoke-free policies on smoking among Indonesian adults: Evidence from repeated national health surveys

BACKGROUND

Smoke-free policies (SFPs) have been effective in reducing smoking prevalence, but evidence remains limited for low- and middle-income countries. Due to decentralized governance in Indonesia, SFPs are adopted in different ways in different locations. This study aims to assess the impact of local smoke-free policies (SFPs) on current smoking among Indonesian adults.

METHODS

Data from national health surveys conducted in 515 districts and 34 provinces in 2007, 2013, and 2018, involving 1,599,517 adults, were analyzed. A multilevel logistic regression analysis was performed, considering variables such as survey year, SFP adoption in 2007, SFP between 2007 and 2013, SFP between 2013 and 2018, socio-demographic factors, and district characteristics.

RESULTS

Moderate (OR:0.94, 95%CI:0.91-0.97) and strong (OR:0.95, 95%CI:0.0.92-0.98) district-level SFPs between 2013 and 2018 were associated with decreased odds of current smoking, compared to no district-level SFP adoption. Similar results were observed for moderate (OR:0.91, 95%CI:0.86-0.96) and strong (OR:0.89, 95%CI:0.85-0.94) district-level SFPs between 2007 and 2013, compared to no district-level SFP. Compared to provinces without SFPs, individuals living in provinces with moderate SFPs between 2007 and 2013 had lower odds of current smoking (OR:0.67; 95% CI:0.63-0.71), while those in districts with moderate SFPs between 2013 and 2018 had higher odds (OR: 1.08, 95% CI: 1.05-1.11).

CONCLUSIONS

Local SFPs demonstrated a potential in reducing smoking persistence in Indonesia, particularly at the district level. However, the impact of province-level SFPs differed. Tailored SFPs and district-province strategies, focusing on synchronizing the top-down SFP implementation in the Indonesia's decentralized systems, are critical for lowering smoking rates.

Differences in Normative Beliefs and Tobacco Product Use by Age Among Adults Who Smoke: Cross-Sectional Analysis of a Nationally Representative Sample

BACKGROUND

The prevalence of combusted cigarette (CC) smoking among older adults is stagnant, with 0 declines attributable to e-cigarette (EC) use. Given that normative beliefs are associated with quitting and switching to ECs, we assessed cross-sectional associations between age, CC, and EC descriptive and injunctive norms and potential interactions with tobacco use behavior.

METHODS

Data are from people with current, established (≥100 lifetime CCs) CC use (n = 8072) at Wave 5 (2018-2019) of the adult Population Assessment of Tobacco and Health Study. We used adjusted multivariable logistic regressions to model social norms as a function of age (18-24, 25-34, 35-44, 45-54, 55-64, ≥65 years). We also dichotomized age (≥55 vs 18-54) to investigate interactions between age and social norms on past 12-month CC quit attempts and past-month EC use.

RESULTS

Older age was positively associated with pro- and anti-CC norms and anti-EC norms. Significant interactive effects revealed that being advised to quit smoking by a healthcare provider was more strongly associated with CC quit attempts among adults ≥55 years (adjusted odds ratio [aOR] [95% CI]: 2.12 [1.66, 2.71]) than adults <55 years (aOR: 1.63 [1.34, 2.00]). Reporting people close to you use ECs was also more strongly associated with EC use among adults ≥55 years (aOR: 4.37 [3.35, 5.69]) than among adults <55 years (aOR: 3.43 [2.89, 4.08]).

CONCLUSIONS

This study identified modifiable risk factors for tobacco use that may be particularly beneficial for older adults. Behavioral and communication interventions that target normative beliefs may maximize smoking cessation, or harm reduction when cessation is not possible.

Eliminating children's tobacco smoke exposure: a pathway to bioverified abstinence among low-income maternal smokers in the Babies Living Safe and Smokefree (BLiSS) trial

BACKGROUND

Identifying behavioral pathways to smoking cessation in high-risk populations, such as low-income maternal smokers, could reduce tobacco disparities. The previous "BLiSS" multilevel intervention trial demonstrated efficacy of the BLiSS intervention in facilitating low-income maternal smokers' bioverified abstinence. This present study examined four putative pathways measured at 3-month end of treatment (Time 2) that could account for the observed intervention effect on smoking abstinence through 12 months (Time 2 - Time 3).

METHODS

Nutritionists in community clinics delivering safety net nutrition promotion programs across Philadelphia, Pennsylvania, USA, were trained by trial principal investigators to deliver a brief tobacco intervention informed by the American Academy of Pediatrics best practice guidelines ("Ask, Advise, Refer [AAR]"). After referral, 396 eligible participants were randomized to either a multimodal behavioral intervention (AAR + MBI) or a parallel attention control (AAR + control). Random effects regression analysis tested mediation.

RESULTS

Elimination of children's tobacco smoke exposure (TSE) at Time 2 was the only significant mediator of longitudinal smoking abstinence through Time 3. AAR + MBI mothers were more likely to eliminate their children's TSE by Time 2 (OR = 2.11, 95%CI 1.30, 3.42), which was significantly associated with Time 3 abstinence (OR = 6.72, CI 2.28, 19.80). Modeling showed a significant total effect of AAR + MBI on abstinence (OR = 6.21, CI 1.86, 20.71), a direct effect of AAR + MBI on abstinence (OR = 4.80, CI 1.45, 15.94) and an indirect effect through TSE elimination (OR = 1.29, CI 1.06, 1.57).

CONCLUSIONS

Integrating smoking cessation interventions with counseling prior to the quit attempt that is designed to facilitate adoption of smokefree home policies and efforts to eliminate children's TSE could enhance the likelihood of long-term abstinence in populations of smokers with elevated challenges quitting smoking.

Smoke-free home restrictions in Armenia and Georgia: motives, barriers and secondhand smoke reduction behaviors

BACKGROUND

Promoting smoke-free homes (SFHs) in Armenia and Georgia is timely given high smoking and secondhand smoke exposure (SHSe) rates and recent national smoke-free policy implementation. This study examined theoretical predictors (e.g. motives, barriers) of SFH status, and among those without SFHs, past 3-month SFH attempts and intent to establish SFHs in the next 3 months.

METHODS

Multilevel logistic regression analyzed these outcomes using 2022 survey data from 1467 adults (31.6% past-month smokers) in Armenia (n = 762) and Georgia (n = 705). Correlates of interest included SHSe reduction behaviors and SFH motives and barriers; models controlled for country, community, age, sex, smoking status and other smokers in the home.

RESULTS

In this sample, 53.6% had SFHs (Armenia: 39.2%; Georgia: 69.2%). Among those without SFHs, one-fourth had partial restrictions, no smokers in the home and/or recent SFH attempts; 35.5% intended to establish SFHs; and ∼70% of multiunit housing residents supported smoke-free buildings. We documented common SHSe reduction behaviors (opening windows, limiting smoking areas), SFH motives (prevent smell, protect children/nonsmokers) and barriers (smokers' resistance). Correlates of SFHs were being from Georgia, other smokers in the home, fewer SHSe reduction behaviors, greater motives and fewer barriers. Among participants without SFHs, correlates of recent SFH attempts were other smokers in the home, greater SHSe reduction behaviors and SFH motives, and fewer barriers; correlates of SFH intentions were being female, greater SHSe reduction behaviors, greater motives, and fewer barriers.

CONCLUSIONS

SFH interventions should address motives, barriers and misperceptions regarding SHSe reduction behaviors. Moreover, smoke-free multiunit housing could have a great population impact.

Multi-Level Influences of Smoke-Free Policies in Subsidized Housing: Applying the COM-B Model and Neighborhood Assessments to Inform Smoke-Free Policies

Smoke-free policies in multi-unit housing are associated with reduced exposure to secondhand smoke (SHS); however, attitudes toward comprehensive smoke-free policies among residents in subsidized multi-unit housing are unknown. In this mixed-methods study, we explored the socio-ecological context for tobacco and cannabis use and attitudes toward policies restricting indoor use of these products through interviews with residents (N = 134) and staff (N = 22) in 15 federally subsidized multi-unit housing in San Francisco, California. We conducted a geo-spatial and ethnographic environmental assessment by mapping alcohol, cannabis, and tobacco retail density using ArcGIS, and conducted systematic social observations of the neighborhood around each site for environmental cues to tobacco use. We used the Capability, Opportunity, and Motivation behavior (COM-B) model to identify factors that might influence implementation of smoke-free policies in multi-unit housing. Knowledge and attitudes toward tobacco and cannabis use, social norms around smoking, neighborhood violence, and cannabis legalization were some of the social-ecological factors that influenced tobacco use. There was spatial variation in the availability of alcohol, cannabis, and tobacco stores around sites, which may have influenced residents' ability to maintain smoke-free homes. Lack of skill on how to moderate indoor smoking (psychological capability), lack of safe neighborhoods (physical opportunity), and the stigma of smoking outdoors in multi-unit housing (motivation) were some of the barriers to adopting a smoke-free home. Interventions to increase adoption of smoke-free policies in multi-unit housing need to address the co-use of tobacco and cannabis and commercial and environmental determinants of tobacco use to facilitate smoke-free living.

Factors associated with quitting among smoking cessation medication-assisted smokers and ex-smokers: A cross-sectional study in Australia

Effective smoking cessation medications (SCM) are available and are recommended for the treatment of tobacco smoking. In this study, we evaluated rate and factors associated with successful quitting among individuals who supported their quit attempt using SCMs in Australia. An observational online cross-sectional survey was conducted using a convenience sample of smokers and ex-smokers in Australia. A self-administered questionnaire was used to evaluate socio-demographic, psychological, smoking, and medication use characteristics. The Fagerstrom Test for Nicotine Dependence scale was used to assess the level of nicotine addiction. Logistic regression used to identify factors associated with smoking cessation. Of the 201 respondents, 33.3% had successfully quit smoking. Nicotine replacement therapy (NRT), varenicline, and bupropion were used by 71.6%, 19.9%, and 8.5% respectively. The rate of quitting was 30.6%, 47.5%, and 23.5% for participants who used NRT, varenicline, and bupropion, respectively. Six in ten (59.6%) of the participants who were adherent to SCMs reported continuous abstinence. Whereas 22.9% reported quitting among participants who were nonadherent to SCMs. Adherence to SCMs was significantly associated with increased rate of quitting (AOR = 2.67, 95% CI of 1.17-6.10). Additionally, having smoke-free home was associated with successful smoking cessation (AOR = 2.34, 95% CI of 1.13-4.90). In conclusion, one in three participants self-reported that they successfully quit smoking. Adherence to SCMs and smoke-free home were strongly associated with quitting. Smoking cessation programs and future studies are recommended to incorporate medication adherence as a core component. Home-targeted and family-inclusive interventions are recommended to manage smoke-free homes and enhance success of quitting attempts.

Measurement of airborne nicotine, as a marker of secondhand smoke exposure, in homes with residents who smoke in 9 European countries

OBJECTIVE

Smoke-free policies are effective in preventing secondhand smoke (SHS) exposure, but their adoption at home remains largely voluntary. This study aimed to quantify SHS exposure in homes with residents who smoke in Europe according to households' characteristics, tobacco consumption habits, and national contextual factors.

METHODS

Cross-sectional study (March 2017-September 2018) based on measurements of air nicotine inside 162 homes with residents who smoke from nine European countries. We installed passive samplers for seven consecutive days to monitor nicotine concentrations. Through self-administered questionnaires, we collected sociodemographic information and the number of individuals who smoke, smoking rules, frequency, location, and quantity of tobacco use in households. Country-level factors included the overall score in the Tobacco Control Scale 2016, the smoking prevalence, and self-reported SHS exposure prevalence. Nicotine concentrations were analyzed as continuous and dichotomous variables, categorized based on the limit of quantification of 0.02 μg/m³.

RESULTS

Overall, median nicotine concentration was 0.85 μg/m³ (interquartile range (IQR):0.15-4.42), and there was nicotine presence in 93% of homes. Participants reported that smoking was not permitted in approximately 20% of households, 40% had two or more residents who smoked, and in 79% residents had smoked inside during the week of sampling. We found higher nicotine concentrations in homes: with smell of tobacco smoke inside (1.45 μg/m³ IQR: 0.32-6.34), where smoking was allowed (1.60 μg/m³ IQR: 0.68-7.63), with two or more residents who smoked (2.42 μg/m³ IQR: 0.58-11.0), with more than 40 cigarettes smoked (2.92 μg/m³ IQR: 0.97-10.61), and where two or more residents smoked inside (4.02 μg/m³ IQR: 1.58-11.74). Household nicotine concentrations were significantly higher in countries with higher national smoking prevalence and self-reported SHS exposure prevalence (p < 0.05).

CONCLUSIONS

SHS concentrations in homes with individuals who smoke were approximately twenty times higher in homes that allowed smoking compared to those reporting smoke-free household rules. Evidence-based interventions promoting smoke-free homes should be implemented in combination with strengthening other MPOWER measures.

Examining Psychosocial Correlates of a Home Smoking Ban Among Low-income Smokers: Analysis of Social Support, Unmet Social Needs, Perceived Stress, and Depressive Symptoms

Home smoking bans reduce exposure to second-hand smoke. Understanding how psychosocial factors are related to having a home smoking ban may lead to better interventions for populations less likely to have home smoking bans, including low-income smokers. In this study, we used baseline data from 1,944 participants in a randomized trial of low-income smokers in Missouri to explore psychosocial correlates of a total home smoking ban. Using logistic regression, we examined associations between psychosocial variables (social support, unmet social needs [e.g., food, housing], perceived stress, and depressive symptoms) and a total home smoking ban. 72% of participants were female, and 58% were Black/African American; 26% reported a home smoking ban. In unadjusted and adjusted models, greater social support was associated with greater likelihood of a home smoking ban. Stress was negatively associated with a ban in adjusted models only. The fact that most participants did not have a home smoking ban highlights the need for further intervention in this population. Results suggest links between social support and having a home smoking ban, although effect sizes were small. Smoke-free home interventions that increase social connectedness or leverage existing support may be especially effective. Tobacco control planners may also consider partnering with agencies addressing social isolation.

Predictors of electronic nicotine product quit attempts and cessation: Analysis of waves 3 and 4 of the PATH study

INTRODUCTION

Identifying theory-based predictors of electronic nicotine product (ENP) quit attempts and cessation can guide the development of effective vaping cessation interventions, which are currently limited. This study examined predictors of ENP quit attempts and cessation among adult ENP users.

METHODS

Using data from wave 3 (W3; 2015-2016) current established ENP users in the Population Assessment of Tobacco and Health study, we used multivariable logistic regression to identify predictors of (i) wave 4 (W4; 2016-2018) quit attempts (unweighted n = 1,135); and (ii) W4 cessation among those who made a quit attempt (unweighted n = 610). Predictors included Social Cognitive Theory (SCT)-based cognitive (interest in quitting, self-efficacy to quit, outcome expectancies, risk perception), behavioral (smoking status, and use of combustibles, non-combustibles, cannabis, and alcohol), and socio-environmental (perceived disapproval, household rules, exposure to advertising) factors.

RESULTS

Between W3 and W4, 51.7% of W3 ENP users made a quit attempt. Among those who tried quitting, 68.4% stopped using ENPs. SCT-based predictors of ENP quit attempts included higher interest in quitting ENPs (aOR = 1.18), greater self-efficacy to quit ENPs (aOR = 1.31), and currently using cigarettes (vs non-smoker; aOR = 1.71), non-combustibles (aOR = 2.25), and cannabis (aOR = 1.80). Predictors of ENP cessation included greater self-efficacy to quit ENPs (aOR = 1.33), greater perceived risk of ENPs (aOR = 1.35), and being a current smoker (vs non-smoker; aOR = 3.28).

CONCLUSIONS

ENP cessation interventions should address cognitive factors, particularly self-efficacy, as it predicted quit attempts and cessation. Cigarette smoking among dual users should be monitored and addressed to ensure that those who quit using ENPs do not maintain cigarette use.

Status and correlates of home smoking bans after the implementation of the smoke-free legislation in public places: A survey in Chongqing

INTRODUCTION

Secondhand smoke exposure in many countries decreased dramatically after the implementation of smoke-free legislation in public places, but the exposure at home did not change to the same degree. The aim of this study was to describe the status and correlates of a home smoking ban in Chongqing, China.

METHODS

From June to August 2021, we selected two healthcare centers in the East, West, North, South and Middle regions of Chongqing. We investigated the family smoke-free situation in the selected region using a stratified random sampling method. A chi-squared test was performed to compare the totally and partially smoke-free homes, and a binary logistic regression model was used to analyze the correlates of smoke-free rules at home.

RESULTS

The study investigated 2121 families, among which 884 (41.7%) implemented a total ban on smoking at home. The covariates included age (OR=1.54; 95% CI: 1.18–2.01), living with children aged <14 years (OR=1.51; 95% CI: 1.20–1.90), no smokers in the family (OR=2.37; 95% CI: 1.78–3.17), awareness of the hazards of secondhand smoke (OR=1.30; 95% CI: 1.07–1.59), worrying about the impact of smoking in the presence of children on health (OR=1.92; 95% CI: 1.25–2.95), no difficulty (OR=1.34; 95% CI: 1.07–1.67) and confidence (OR=1.73; 95% CI: 1.41–2.13) in stopping others from smoking, no smoking rules in cars (OR=3.67; 95% CI: 2.58–5.22), and frequency of entertaining guests with cigarettes (OR=0.41; 95% CI: 0.28–0.59).

CONCLUSIONS

It is common for households in Chongqing to have smoking bans, especially those with children. If a family has members that are smokers, education researchers should pay more attention to the hazards of secondhand smoke on the health of family members, and to adopt more tobacco control measures and enhance the self-efficacy of implementing a home smoking ban. Helping smokers to quit is a vital way to decrease the hazards of cigarettes.

What Helps and What Hinders the Creation of a Smoke-free Home: A Qualitative Study of Fathers in Scotland

INTRODUCTION

Few studies have explored fathers' views and experiences of creating a smoke-free home, with interventions largely targeting mothers. This study aimed to identify barriers and facilitators to fathers creating a smoke-free home, to inform future intervention development.

METHODS

Eighteen fathers who were smokers and lived in Scotland were recruited from Dads' community groups, Early Years Centres and through social media advertising. Semi-structured interviews explored their views and experiences of creating a smoke-free home. A theory-informed thematic analysis using the COM-B model highlighted ways in which capability, opportunity, and motivations shaped fathers' home smoking behaviors.

RESULTS

Several fathers understood the health risks of second-hand smoke exposure through public health messaging associated with recent smoke-free legislation prohibiting smoking in cars carrying children. Limited understanding of effective exposure reduction strategies and personal mental health challenges reduced some fathers' ability to create a smoke-free home. Fathers were keen to maintain their smoke-free home rules, and their motivations for this largely centered on their perceived role as protector of their children, and their desire to be a good role model.

CONCLUSIONS

Fathers' abilities to create a smoke-free home are shaped by a range of capabilities, opportunities, and motivations, some of which relate to their role as a father. Establishing a fuller understanding of the contextual and gender-specific factors that shape fathers' views on smoking in the home will facilitate the development of interventions and initiatives that fathers can identify and engage with, for the broader benefit of families and to improve gender equity and health.

IMPLICATIONS

Our findings can inform future development of father-centered and household-level smoke-free home interventions. They identify fathers' views and experiences and help reframe smoking in the home as a gendered family-wide issue, which is important in building consensus on how best to support parents to create a smoke-free home. Our findings highlight the need for additional research to develop understanding of the ways in which gender-related aspects of family structures, heterosexual relationships, and child living arrangements influence home smoking rules and how to tailor interventions accordingly.

Tobacco-related risk perceptions, social influences and public smoke-free policies in relation to smoke-free home restrictions: findings from a baseline cross-sectional survey of Armenian and Georgian adults in a community randomised trial

OBJECTIVES

Given high prevalence of smoking and secondhand smoke exposure in Armenia and Georgia and quicker implementation of tobacco legislation in Georgia versus Armenia, we examined correlates of having no/partial versus complete smoke-free home (SFH) restrictions across countries, particularly smoking characteristics, risk perceptions, social influences and public smoking restrictions.

DESIGN

Cross-sectional survey study design.

SETTING

28 communities in Armenia and Georgia surveyed in 2018.

PARTICIPANTS

1456 adults ages 18-64 in Armenia (n=705) and Georgia (n=751).

MEASUREMENTS

We used binary logistic regression to examine aforementioned correlates of no/partial versus complete SFH among non-smokers and smokers in Armenia and Georgia, respectively.

RESULTS

Participants were an average age of 43.35, 60.5% women and 27.3% smokers. In Armenia, among non-smokers, having no/partial SFHs correlated with being men (OR=2.63, p=0.001) and having more friend smokers (OR=1.23, p=0.002); among smokers, having no/partial SFHs correlated with being unmarried (OR=10.00, p=0.001), lower quitting importance (OR=0.82, p=0.010) and less favourable smoking attitudes among friends/family/public (OR=0.48, p=0.034). In Georgia, among non-smokers, having no/partial SFHs correlated with older age (OR=1.04, p=0.002), being men (OR=5.56, p<0.001), lower SHS risk perception (OR=0.43, p<0.001), more friend smokers (OR=1.49, p=0.002) and fewer workplace (indoor) restrictions (OR=0.51, p=0.026); among smokers, having no/partial SFHs correlated with being men (OR=50.00, p<0.001), without children (OR=5.88, p<0.001), daily smoking (OR=4.30, p=0.050), lower quitting confidence (OR=0.81, p=0.004), more friend smokers (OR=1.62, p=0.038) and fewer community restrictions (OR=0.68, p=0.026).

CONCLUSIONS

Private settings continue to lack smoking restrictions in Armenia and Georgia. Findings highlight the importance of social influences and comprehensive tobacco legislation, particularly smoke-free policies, in changing household smoking restrictions and behaviours.

TRIAL REGISTRATION NUMBER

NCT03447912.

Factors associated with baseline smoking self-efficacy among male Qatari residents enrolled in a quit smoking study

Smoking self-efficacy, described as confidence in one’s ability to abstain from smoking in high-risk situations is a key predictor in cessation outcomes; however, there is a dearth of research on factors that influence self-efficacy surrounding smoking behavior. This study examines factors associated with baseline self-efficacy among treatment seeking participants enrolled in a pilot feasibility smoking cessation study. Participants (n = 247) were daily male smokers, residents of Doha in Qatar (18–60 years) who were enrolled in a telephone-based smoking cessation study. Baseline assessments included self-efficacy, home smoking rules, socio-demographic variables, smoking history, and psychosocial characteristics. Factors associated with self-efficacy were assessed using multiple linear regression analysis. Results showed that after controlling for relevant variables, number of cigarettes smoked (β^ = -0.22; 95% CI: -0.37, -0.06), having at least one quit attempt in the past year (β^ = 2.30; 95% CI: 0.27, 4.35), and reporting a complete home smoking ban (β^ = 3.13; 95% CI: 0.56, 5.70) were significantly associated with higher self-efficacy to quit smoking. These results provide data-driven indication of several key variables that can be targeted to increase smoking self-efficacy in this understudied population.

Racial/ethnic group comparisons of quit ratios and prevalences of cessation-related factors among adults who smoke with a quit attempt

BACKGROUND

Smoking-related disparities exist among racial/ethnic minoritized groups.

OBJECTIVE

We compared quit ratios and smoking cessation-related protective and risk factors by race/ethnicity to inform approaches to reduce disparities.

METHODS

Among adults who smoke with a quit attempt from Wave 4 (2016-2017) Population Assessment of Tobacco Use and Health Study, the following factors were examined by racial/ethnic group (American Indians/Alaska Native [AI/AN;n = 165], Black/African American [AA;n = 526], Asian [n = 38], Hispanic/Latino/Latina/Spanish [n = 475], or White [n = 1,960]), wherein each were nearly gender-balanced: cessation medications, counseling/self-help materials, home smoking ban, social support, e-cigarette use, sleep, and mental health.

RESULTS

Quit ratio was lower for AI/AN (adjusted odds ratio[aOR]:0.61) and Black/AA (aOR:0.49) and higher for Asian (aOR:1.90) and Hispanic/Latino/Latina/Spanish (aOR:1.30) than White adults. Medication use was low among all and lower among Black/AA (aOR:0.70) and Hispanic/Latino/Latina/Spanish (aOR:0.56) than White adults. Use of counseling/self-help materials were low among all and higher in AI/AN (aOR:1.85), Black/AA (aOR:1.87), and Hispanic/Latino/Latina/Spanish (aOR:1.49) than White adults. Presence of a smoking ban was lower among Black/AA (aOR:0.40) and higher in Hispanic/Latino/Latina/Spanish (aOR:1.59) than White adults. E-cigarette use was lower in Black/AA (aOR:0.53) and Hispanic/Latino/Latina/Spanish (aOR:0.43) than White adults. Sadness, anxiety, and sleep difficulties were higher in AI/AN (aORs:1.57, 1.50, 1.64) than White adults.

CONCLUSIONS

All racial/ethnic groups would benefit from policies and programs that increase cessation medications and counseling. Quit ratios were particularly low among Black/AA and AI/AN adults. Black/AA adults may benefit from efforts to increase smoking bans, while AI/AN adults may benefit from cessation approaches that simultaneously target sleep and mental health.

Exposure to Secondhand Smoke at Home and Psychological Distress among College Students in China: The Role of Parental Attachment

This study examined the link between home SHS exposure and psychological distress among college students in China. Between July and September of 2020, 18-25-year-old students in three Chinese universities were invited to complete an online survey. Data from 872 respondents (mean age = 20.28) were analyzed. Psychological distress was assessed by the 10-item Kessler Scale. Home SHS exposure was assessed by the presence of smoking household members, hours of exposure, and exposure to the number of cigarettes smoked. Maternal and paternal attachment were assessed by the Inventory of Parent and Peer Attachment. Pairwise comparisons of sample characteristics were performed across never-smokers, triers (smoked one or two puffs), and smokers. Generalized linear regression models were constructed to assess the association. More smokers were exposed to home SHS or engaged in ever alcohol and other drug use than never-smokers. In never-smokers, exposure for <1 h/day or ≥3 h/day, or to 6-10 cigarettes/day was associated with increased psychological distress, but they were nullified after adjusting for parental attachment. In smokers, exposure to 6-10 cigarettes/day was associated with decreased psychological distress even after adjusting for parental attachment. Home SHS exposure is a risk factor for psychological wellbeing in never-smokers, the association with smokers warrants further study.

Changes in tobacco use patterns and motivation to quit related to the new smoke-free legislation in the Czech Republic

BACKGROUND

Smoke-free policy belongs to key public health instruments to promote health in populations. In 2017, new comprehensive smoke-free law prohibiting smoking in indoor public places was implemented. We aimed to measure changes in tobacco smoking patterns and changes in motivation to quit in adult smokers prior to and after the new smoke-free legislation came into force.

METHODS

We conducted a prospective cohort study prior to and post the implementation of Act No. 65/2017 Coll. Self-reported questionnaires were administered to 131 adult smokers by trained nurses in general practitioner offices in Prague. We analysed changes in cigarette consumption per day; ratio of cigarettes smoked in pub, street, work and home; and motivation to quit using regression modelling.

RESULTS

We found a statistically significant decrease in the daily consumption of cigarettes (an average of 1.7 cigarettes per day, P < 0.001, d = 0.34). Smoking in indoor public spaces decreased to almost zero, while tobacco consumption in outdoor public spaces (such as streets and squares) increased by nearly 20%. We observed statistically significant increase of motivation to quit smoking (P = 0.021, d = 0.21).

CONCLUSION

The study brings valuable indication of the desired public health impact related to key legislative change in the Czech Republic.

Spontaneous Smoking Cessation in Parents

Purpose

To determine the percentage of parents who report quitting spontaneously and examine the factors associated with these quits.

Methods

As part of a cluster randomized control trial addressing parental smoking in a pediatric outpatient setting, 12-month follow-up survey data were collected from parents who had self-identified as smokers when exiting from 10 control practices. Parents were considered to have made a spontaneous quit if they reported not smoking a cigarette, even a puff, in the last 7 days and chose the statement "I did not plan the quit in advance; I just did it" when describing how their quit attempt started.

Results

Of the 981 smoking parents enrolled at baseline, 710 (72%) completed the 12-month follow-up. Of these, 123 (17%) reported quitting, of whom 50 (41%) reported quitting spontaneously. In multivariable analysis, parents who reported smoking on some days vs. every day (OR 3.06 (95% CI 1.42, 6.62)) and that nobody had smoked in their home/car vs. someone had smoked in these settings in the past 3 months (OR 2.19 (95% CI 1.06, 4.54)) were more likely to quit spontaneously.

Conclusions

This study shows that, of parents who quit smoking, a substantial percentage report quitting spontaneously and that intermittent smoking and smoke-free home/car policies are associated with reports of quitting spontaneously. Promoting smoke-free home/car policies, especially when parents are not willing to make a plan to quit smoking, might increase the likelihood that parents decide to quit without advance planning. Pediatric healthcare providers are uniquely positioned to use the child's visit to motivate parents to quit smoking and eliminate their child's exposure to tobacco smoke, regardless of the frequency of smoking or a readiness to plan a quit attempt. Clinical Trial Registration. This trial is registered with NCT01882348.

Smoke-Free Home Rules and Association with Child Secondhand Smoke Exposure among Mother-Child Dyad Relationships

Smoke-free home rules restrict smoking in the home, but biomarkers of secondhand smoke exposure are needed to help understand the association between smoke-free homes and child secondhand smoke exposure. Participants (n = 346) were majority Black/African American mother-child dyads from a longitudinal study in North Carolina. Mothers completed questionnaires on household smoking behaviors and rules, and child saliva samples were assayed for secondhand smoke exposure. Regression models used smoke-free home rules to predict child risk for secondhand smoke exposure. Children in households with smoke-free home rules had less salivary cotinine and risk for secondhand smoke exposure. After controlling for smokers in the household, home smoking rules were not a significant predictor of secondhand smoke exposure. Compared to children in households with no smokers, children in households with at least one smoker but a non-smoking mother (OR 5.35, 95% CI: 2.22, 13.17) and households with at least one smoker including a smoking mother (OR 13.73, 95% CI: 6.06, 33.28) had greater risk for secondhand smoke exposure. Results suggest smoke-free home rules are not sufficient to fully protect children from secondhand smoke exposure, especially in homes with smokers. Future research should focus on how household members who smoke can facilitate the prevention of child secondhand smoke exposure.

Smoke-Free Home Intervention in Permanent Supportive Housing: A Multifaceted Intervention Pilot

INTRODUCTION

Smoke-free homes (SFHs), the voluntary adoption of home smoking restrictions, are associated with reduced secondhand smoke exposure. However, SFHs are uncommon in permanent supportive housing (PSH) for formerly homeless adults, who have fivefold higher smoking rates than the general population. We pilot-tested a brief intervention to increase voluntary adoption of SFHs among PSH residents in the San Francisco Bay Area.

AIMS AND METHODS

We pilot-tested a brief intervention to increase voluntary adoption of SFHs among PSH residents in the San Francisco Bay Area. Rest of the methods, PSH residents (n = 100) and staff (n = 62) from 15 PSH sites participated in the intervention between October 2017 and February 2018. Research staff provided counseling to PSH residents on how to adopt an SFH and trained PSH staff on how to counsel residents on smoking cessation. The primary outcome was self-reported voluntary adoption of an SFH for ≥90 days, and the secondary outcome was carbon monoxide-verified PPA at 6-month follow-up. PSH staff completed the Smoking Knowledge, Attitudes, and Practices survey at baseline and 3-month follow-up.

RESULTS

At 6 months, 31.3% of PSH residents had adopted an SFH (vs. 13.0% at baseline) and 16.9% reported carbon monoxide-verified PPA. A positive attitude toward an SFH policy was associated with increased odds of SFH adoption (adjusted odds ratio = 8.68, 95% confidence interval: 2.42, 31.17). Voluntary SFH adoption was associated with increased PPA (adjusted odds ratio = 26.27, 95% confidence interval: 3.43, 201.30). PSH staff reported improved attitudes toward and self-efficacy in delivering cessation care, and decreased barriers to discussing smoking cessation among PSH residents between baseline and 3-month follow-up.

CONCLUSIONS

In this single-arm study, a brief intervention increased SFH adoption and PPA among PSH residents.

IMPLICATIONS

To date, few interventions have addressed SFHs and their association with tobacco use among PSH residents. A "ground-up" approach that relies on buy-in from residents and that promotes voluntary SFHs is an innovative way to increase smoke-free living environments in PSH. This approach could pave a pathway for smoke-free policy implementation in these sites. PSH can play a role in reducing the burden of tobacco use by empowering its residents to adopt voluntary SFHs, which could increase smoking cessation among residents.

Small-Area Estimation of Smoke-Free Workplace Policies and Home Rules in US Counties

INTRODUCTION

The workplace and home are sources of exposure to secondhand smoke, a serious health hazard for nonsmoking adults and children. Smoke-free workplace policies and home rules protect nonsmoking individuals from secondhand smoke and help individuals who smoke to quit smoking. However, estimated population coverages of smoke-free workplace policies and home rules are not typically available at small geographic levels such as counties. Model-based small-area estimation techniques are needed to produce such estimates.

METHODS

Self-reported smoke-free workplace policies and home rules data came from the 2014-2015 Tobacco Use Supplement to the Current Population Survey. County-level design-based estimates of the two measures were computed and linked to county-level relevant covariates obtained from external sources. Hierarchical Bayesian models were then built and implemented through Markov Chain Monte Carlo methods.

RESULTS

Model-based estimates of smoke-free workplace policies and home rules were produced for 3134 (of 3143) US counties. In 2014-2015, nearly 80% of US adult workers were covered by smoke-free workplace policies, and more than 85% of US adults were covered by smoke-free home rules. We found large variations within and between states in the coverage of smoke-free workplace policies and home rules.

CONCLUSIONS

The small-area modeling approach efficiently reduced the variability that was attributable to small sample size in the direct estimates for counties with data and predicted estimates for counties without data by borrowing strength from covariates and other counties with similar profiles. The county-level modeled estimates can serve as a useful resource for tobacco control research and intervention.

IMPLICATIONS

Detailed county- and state-level estimates of smoke-free workplace policies and home rules can help identify coverage disparities and differential impact of smoke-free legislation and related social norms. Moreover, this estimation framework can be useful for modeling different tobacco control variables and applied elsewhere, for example, to other behavioral, policy, or health related topics.

Prevalence and predictors of hardcore smoking in India-: Findings from the global adult tobacco survey (2016–2017)

Background:

Hardcore smokers are of significant public health concern having a greater risk of developing tobacco-related diseases.

Objective:

This study aimed to identify burden of hardcore smokers, its distribution, and determinants in India.

Subjects and Methods:

Analysis of Global Adult Tobacco Survey India 2016–2017 data was carried out. Hardcore smoking was defined when the following criteria were fulfilled – current daily cigarette smoking for at least 5 years, no quit attempt in past 12 months, no intention to quit in next 12 months, and time to first smoke within 30 min of waking up. Independent variables included sociodemographic, knowledge of side effects, indoor smoking policy, and age of smoking initiation. Multivariable logistic regression was carried out, with adjustment for clustering, stratification, and sampling weight.

Results:

Proportion of hardcore smoking among the general population and current daily smokers were 3.43% and 32.3%, respectively. In the adjusted model, it was found to be significantly associated with increasing age, earlier initiation of daily smoking, tribal caste, and unfavorable indoor smoking policy.

Conclusion:

Tobacco control strategies should be modified to tackle these issues, especially early age of initiation of daily smoking and indoor smoking policy.

COVID-19 Impact on Smokers Participating in Smoking Cessation Trials: The Experience of Nondaily Smokers Participating in a Smartphone App Study

Objectives: To provide initial insight into how the COVID-19 pandemic could affect smoking behaviors and cessation efforts that were underway at its onset. Methods: An additional survey was added to follow-up assessments in an ongoing smoking cessation study for nondaily smokers: a measure of impact of COVID-19 and a subset of previously administered scales measuring smoking, emotional well-being, and alcohol use. Pre-post tests were conducted (84 ± 28 days apart). Results: Participants (81/100 of enrolled; 67% female, 75% white, 10% Hispanic, 37 ± 11 years old) reported experiencing changes regarding work (35% income reduction/loss; 35% remote work) and living situation (15% consolidated residences). Participants reported their motivation to quit smoking "slightly" increased after COVID-19 (p < 0.001), more so in those having achieved 30-day abstinence (p = 0.0045). Worry, fear, and a desire to support the greater good increased (ps < 0.05). Increases in motivation to quit correlated positively with prosocial and wellness changes. Data from pre- to post-COVID-19 onset showed decreases in emotional well-being (increased stress, negative affect, decreased coping, positive affect, all ps < 0.01), but not changes in smoking abstinence (p = 0.65), readiness to quit (p = 0.16), smoking frequency (p = 0.96), or cigarettes per day (p = 0.96). Heavy drinking decreased (p < 0.01). Trying e-cigarettes increased (p = 0.04). Conclusions: Nondaily smokers participating in a smoking cessation study during the COVID-19 pandemic reported worsened emotional well-being without effects on smoking outcomes and said their motivation to quit was slightly increased. Correlations of motivation to quit with prosocial and wellness changes suggest that targeting these constructs may be particularly helpful during a pandemic.

Factors associated with indoor smoking at home by adults across Korea: a focus on socioeconomic status

OBJECTIVES

Secondhand smoke is an issue that cannot be ignored due to its various negative effects. Especially, secondhand smoke inside the household is an area where health policy must pay attention as it can affect all age groups. This study aims to identify the factors associated with smoking inside the household focusing on socioeconomic status in Korea.

METHODS

We used data from the Community Health Survey of 2017 and a total of 33,462 participated in the study. Data were analyzed through IBM SPSS version 25.0 to conduct binary logistic regression analysis.

RESULTS

Results indicated that indoor smoking had a significant association with socioeconomic status. This association was more marked in those participants who had low household income or those with elementary school education level or less. Furthermore, the study indicates that when the smoker is a woman, older, has higher stress, and is a heavier smoker, the probability of her smoking inside the house is higher.

CONCLUSIONS

Based on the results, it is meaningful that this study has found the factors of smoking inside household. The result identify the factors associated with indoor smoking at home, and it can be used as baseline data for developing new smoking cessation policies.

Voluntary Smoke-Free Home Rules and Exposure to Secondhand Smoke in Poland: A National Cross-Sectional Survey

Smoke-free policies have been shown to significantly reduce secondhand smoke (SHS) exposure in private and public places. The objectives of this study were to: (1) to assess the prevalence and characteristics of voluntary smoke-free home rules in Poland; and (2) assess the association of smoke-free rules with self-reported SHS exposure in private homes. A cross-sectional survey was conducted in September 2019 with a nationally representative sample of 1011 individuals aged 15 and over. Nationally, 66.1% of individuals had a 100% smoke-free home rule (78.9% of non-smokers and 18.6% of smokers; p < 0.001), while a further 24.6% had adopted a partial home smoking rule. SHS exposure in the home during past month was reported by 6.1% of respondents (11.5% of smokers and 4.5% of non-smokers; p < 0.001). The lowest level of SHS exposure (1.8%) was observed among respondents who had implemented a full smoke-free home rule. Non-smokers had higher odds of having adopted a total smoke-free home rule compared with smokers (aOR: 19.17; 95% CI: 12.89-28.50). Moreover, non-smokers had lower odds (aOR: 0.35; 95% CI: 0.20-0.61; p < 0.001) of self-reporting SHS smoke exposure at home. Although two-thirds of the Polish population have adopted a full smoke-free home rule in their homes, smokers continue to lag in adoption rates relative to non-smokers.

It's Just Steam: a qualitative analysis of New Zealand ENDS users' perceptions of secondhand aerosol

Introduction

Many smokers who begin using electronic nicotine delivery systems (ENDS) report vaping in settings where they would not have smoked and believe secondhand aerosol (SHA) is simply steam. However, current understanding of how ENDS users differentiate between secondhand smoke and SHA, or how vaping norms develop, is limited.

Methods

We conducted in-depth, semi-structured interviews with 39 current ENDS users (dual users and former smokers, now exclusive ENDS users) from New Zealand to explore participants’ perceptions of SHA. We probed how these perceptions arose and examined implications for vaping practices and policy. We managed the data using NVivo V.11 and used a thematic analysis approach to interpret the transcripts.

Results

Participants had limited understanding of SHA, its constituents or its possible effects on others. They drew on the absence of harm information, and their sensory experiences and perceptions of others’ views of vaping, to support the conclusion that SHA posed few, if any, risks to bystanders. Yet despite this perception, some felt they should recognise others’ rights to clean air and most would not vape around children to avoid setting an example.

Conclusions

In the absence of trusted information, participants used sensory heuristics to rationalise their ENDS practices. Policy-makers face the challenge of correcting misperceptions about SHA without deterring full transition from smoking to ENDS use. They could consider including vaping in current smoke-free area policies; this measure would signal that SHA is not harmless, and could protect clean-air settings and reduce potential normalisation of vaping among non-smokers.

Workplace smoking restrictions and support for smoking cessation in the USA: state, region, and overall trends from 2010-11 to 2014-15

We discuss the most recent changes in smoking policies and support for smoking cessation offered to smokers at US workplaces. We used reports of employed adults (n = 112,008) regarding smoking restrictions and support for smoking cessation offered at their indoor workplaces from the 2010–11 and 2014–15 Tobacco Use Supplement-Current Population Survey. The percentage of adults who reported having workplace smoking restrictions was 94% in 2010–11 and 93% in 2014–15 (P = 0.001). There was a decrease in the Northeastern region (P < 0.001) and no significant changes in the other three US regions. The percentages decreased in Hawaii, New York, Oregon, Pennsylvania, and Tennessee and increased in Indiana, Nebraska, and Wyoming. The percentage of employees who reported having workplace support for smoking cessation increased from 24% to 29% (P < 0.001), which was uniform across all US regions but differed across the US states. The percentages decreased in Hawaii and increased in the majority of states. Analysis of smokers’ reports (versus all reports) resulted in lower percentages of workplaces with smoking restrictions and support for smoking cessation. It is essential to further enhance support for smoking cessation offered to smokers at US workplaces.

Current advances in research in treatment and recovery: Nicotine addiction

The health harms of combusted tobacco use are undeniable. With market and regulatory pressures to reduce the harms of nicotine delivery by combustion, the tobacco product landscape has diversified to include smokeless, heated, and electronic nicotine vaping products. Products of tobacco combustion are the main cause of smoking-induced disease, and nicotine addiction sustains tobacco use. An understanding of the biology and clinical features of nicotine addiction and the conditioning of behavior that occurs via stimuli paired with frequent nicotine dosing, as with a smoked cigarette, is important for informing pharmacologic and behavioral treatment targets. We review current advances in research on nicotine addiction treatment and recovery, with a focus on conventional combustible cigarette use. Our review covers evidence-based methods to treat smoking in adults and policy approaches to prevent nicotine product initiation in youth. In closing, we discuss emerging areas of evidence and consider new directions for advancing the field.

Smoke-Free or Not: Attitudes Toward Indoor Smoke-Free Policies Among Permanent Supportive Housing Residents

Purpose:

Interventions for tobacco dependence are most effective when combined with smoke-free policies, yet such policies are rare in permanent supportive housing (PSH) for formerly homeless adults. We aimed to provide in-depth analysis of attitudes and barriers to and facilitators of implementing smoke-free policies in PSH.

Approach:

Current smokers living in PSH completed a questionnaire and participated in in-depth, semistructured interviews on smoking history, attitudes toward smoke-free policies, and perceived barriers to cessation.

Setting:

We collaborated with 6 San Francisco Bay Area PSH agencies.

Participants:

Thirty-six residents in PSH.

Methods:

Interviews, conducted by trained interviewers, were digitally recorded, transcribed, and analyzed using content analysis methods. Participants were recruited until we reached thematic saturation, or no new themes emerged from the interviews.

Results:

Over half of participants (52.8%, n = 19) reported depression, and 97.2% (n = 35) reported current substance use. Support for indoor smoking bans in living areas was modest (33.1%), although most residents anticipated cutting down (61%) and reported they would not move because of a smoking ban (77.8%). There was interest in quitting smoking, although co-use of tobacco with other substances was a major barrier.

Conclusion:

This study is the first to explore attitudes toward smoke-free policies in PSH. We found that residents in PSH support smoke-free policies and consider them feasible if implementation processes are sound. Our findings underscore the need to address barriers to adopting smoke-free policies and accessing smoking cessation services. In particular, interventions must address the co-use of tobacco with other substances and the impact of smoking on financial and housing stability.

Uneven Access to Smoke-Free Laws and Policies and Its Effect on Health Equity in the United States: 2000-2019

Tobacco control measures have played an important role in the reduction of the cigarette smoking prevalence among US adults.However, although overall smoking prevalence has declined, it remains high among many subpopulations that are disproportionately burdened by tobacco use, resulting in tobacco-related health disparities. Slow diffusion of smoke-free laws to rural regions, particularly in the South and Southeast, and uneven adoption of voluntary policies in single-family homes and multiunit housing are key policy variables associated with the disproportionate burden of tobacco-related health disparities in these subpopulations.Developing policies that expand the reach of comprehensive smoke-free laws not only will facilitate the decline in smoking prevalence among subpopulations disproportionately burdened by tobacco use but will also decrease exposure to secondhand smoke and further reduce tobacco-caused health disparities in the United States.

Impact of changes in home smoking bans on tobacco cessation among quitline callers

Home smoking bans may be an effective way to promote tobacco cessation among treatment seeking smokers. Few studies have examined this relationship in a quitline setting. Data were obtained from 14,296 adults who were enrolled in a state quitline between January 2011 and July 2016. This study investigated whether cessation rates varied by changes in home smoking ban implementation between enrollment and 7-month follow-up. The impact of changes in home smoking bans on cessation at follow-up was significantly modified by having other smokers living in the home at follow-up (P < 0.0001). Among callers who did not live with other smokers in the home, the highest odds ratio of 30-day cessation was for callers who reported bans at follow-up only (OR = 10.50, 95%CI: 8.00, 13.70), followed by callers who reported bans at both enrollment and follow-up (OR = 8.02, 95%CI: 6.27, 10.30) and callers who reported bans at enrollment only (OR = 2.06, 95% CI: 1.47, 2.89) compared with callers with no home smoking bans. When callers reported that they lived with other smokers in the home, the effect of home smoking bans on cessation was much smaller. Quitlines should support the implementation of home smoking bans as a part of callers' goal setting activities to achieve tobacco cessation.

Tobacco Use among Adult Muslims in the United States

BACKGROUND

Compared with the general United States (US) population, Muslims in the US exhibit elevated rates of tobacco use. As a result, they might be at a higher risk for preventive disease and premature death as compared with the general US population.

OBJECTIVE

This study investigated the Social Cognitive Theory (SCT) factors that are associated with tobacco use among a sample of adult Muslims in the US.

METHODS

Data were collected (November 2016-March 2017) using a cross-sectional, on-line survey from a convenience sample of adult (≥ 18 years) US Muslims. Participants with a lung cancer history were excluded. Associations between SCT factors and tobacco use were investigated with bivariate analyses and multinomial logistic regression models.

RESULTS

Eligible participants (n = 271) from 30 states completed the survey; 52.8% reported current tobacco use. A higher rate of current tobacco use was reported by men (62.8%) as compared to women (41.3%), x2(1, N = 271) = 12.49, p < .001. In terms of cognitive factors, individuals who (1) expected more personal consequences for tobacco use on health, and (2) had more confidence regarding ability to abstain from tobacco use, were less likely to report current tobacco use. In terms of environmental factors, individuals whose family members did not use tobacco were less likely to report current tobacco use.

CONCLUSION

The study findings suggest that family-oriented interventions emphasizing self-efficacy and personal consequences to prevent tobacco use can potentially be effective in reducing tobacco use rates in the adult US Muslim population.

Smoke-Free Ordinances and Policies Protect Youth, but Ordinances Appear to Have Little Impact on Non-Combustible Tobacco Use

Smoke-free ordinances and policies protect youth from exposure to secondhand smoke (SHS) and cigarette use. This study investigated whether smoke-free ordinances also protect youth from the use of other tobacco products. We compared the prevalence of SHS exposure, cigarette smoking, cigar smoking, smokeless tobacco use, and e-cigarette use among high school students living in a municipality with or without a smoke-free ordinance and in homes with and without smoke-free policies. Data were analyzed using the 2017 Mississippi Youth Tobacco Survey (n = 1923). Smoke-free ordinances were found to be associated with lower prevalence of SHS exposure (41.9% vs. 51.5%), cigarette smoking (5.1% vs. 11.4%), and cigar smoking (7.2% vs. 10.9%). There were no differences in smokeless tobacco use (6.6% vs. 6.5%) or e-cigarette use (11.2% vs 12.1%). Smoke-free homes were associated with lower prevalence of SHS exposure (38.0% vs 74.6%), cigarette smoking (4.8% vs. 17.6%), cigar smoking (6.4% vs. 16.4%), smokeless tobacco use (4.9% vs. 13.2%), and e-cigarette use (9.6% vs. 19.5%), p < 0.05 for all comparisons. The results suggest that smoke-free ordinances and policies protect against exposure to tobacco smoke and use of combustible tobacco products, but smoke-free ordinances do not protect from smokeless tobacco and e-cigarette use. Tobacco-free, rather than smoke-free, ordinances might offer more protection.

Voluntary home and car smoke-free rules in Japan: a cross-sectional study in 2015

OBJECTIVES

Recently, the Tokyo Metropolitan Assembly passed an ordinance prohibiting smoking in private homes and cars if children are present. However, no previous study has investigated existing, voluntary home and car smoke-free rules in Japan. Therefore, we examined prevalence and determinants of comprehensive home and car smoke-free rules.

DESIGN

A cross-sectional study.

SETTING

Internet survey data with adjustments using inverse probability weighting for 'being a respondent in an internet survey'.

PARTICIPANTS

5600 respondents aged 15-69 years in 2015 were analysed to estimate weighted percentages and prevalence ratios (PRs) with 95% CIs of having comprehensive home and car smoke-free rules.

MAIN OUTCOME MEASURES

Respondents who answered 'smoking is never allowed' in their home and car were defined as having home and car smoke-free rules.

RESULTS

Overall, 47.0% (95% CI=45.8% to 48.3%) of respondents implemented comprehensive home and car smoke-free rules. People who agreed with 'smoking relieves stress' were less likely to have comprehensive smoke-free rules (PR=0.76, 0.71 to 0.82), especially among ever-users of electronic nicotine delivery systems (PR=0.49, 0.30 to 0.81). Higher education was significantly associated with higher PR for comprehensive smoke-free rules (PR=1.30, 1.19 to 1.41). Living with children was significantly associated with higher PR for smoke-free rules among current smokers than not living with children (PR=2.91, 1.99 to 4.27).

CONCLUSIONS

In Japan, about 50% of respondents had voluntary smoke-free rules in the home and car. Information on current voluntary smoke-free rules will be useful as baseline information on home and car smoke-free status before enforcement of the 2018 Tokyo home and car smoke-free legislation.

Prevalence and correlates of different smoking bans in homes and cars among smokers in six countries of the EUREST-PLUS ITC Europe Surveys

INTRODUCTION

Second-hand smoke exposure has decreased in a number of countries due to widespread smoke-free legislation in public places, but exposure is still present in private settings like homes and cars. Our objective was to describe to what extent smokers implement smoking rules in these settings in six European Union (EU) Member States (MS).

METHODS

A cross-sectional survey was conducted with a nationally representative sample of adult smokers from Germany, Greece, Hungary, Poland, Romania and Spain (ITC six European countries survey, part of the EUREST-PLUS Project). We analysed data from 6011 smokers regarding smoking rules in their homes and in cars with children (no rules, partial ban, total ban). We described the prevalence of smoking rules by EU MS and several sociodemographic and smoking characteristics using prevalence ratios (PR) and 95% confidence intervals (CI) derived from Poisson regression models. \.

RESULTS

In homes, 26.5% had a total smoking ban (from 13.1% in Spain to 35.5% in Hungary), 44.7% had a partial ban (from 41.3% in Spain to 49.9% in Greece), and 28.8% had no-smoking rules (from 20.2% in Romania to 45.6% in Spain). Prevalence of no-smoking rules in cars with children was 16.2% (from 11.2% in Germany to 20.4% in Spain). The correlates of not restricting smoking in homes and cars included: low education (PR=1.51; 95%CI: 1.20-1.90 and PR=1.55; 95%CI: 1.09-2.20), smoking >30 cigarettes daily (PR=1.53; 95%CI: 1.10-2.14 and PR=2.66; 95%CI: 1.40-5.05) and no attempts to quit ever (PR=1.18; 95%CI: 1.06-1.31 and PR=1.28; 95%CI: 1.06-1.54).

CONCLUSIONS

Among smokers in six EU MS, no-smoking rules were more prevalent in homes than in cars with children. Whilst awareness about the health effects of exposure to tobacco smoke on children seemed to be high, more research is needed to better understand the factors that promote private smoke-free environments.

'They're Going to Smoke Anyway': A Qualitative Study of Community Mental Health Staff and Consumer Perspectives on the Role of Social and Living Environments in Tobacco Use and Cessation

Background: Addressing the high prevalence of tobacco use experienced by people with severe mental illness (SMI) requires consideration of the influence of wider cultural, socioeconomic and environmental factors. This qualitative study aimed to examine the impact of social and living environments on tobacco use and cessation by people with SMI accessing community managed mental health services. The perspectives of both staff and consumers with SMI were explored. Methods: Semi-structured focus groups were undertaken with a purposive sample of community mental health staff and consumers from three sites in three major cities in NSW, Australia. Two sites provided outreach support, and one site provided residential support. Data were collected (2017-2018) until saturation was reached. Focus groups were audio-recorded and transcribed, and thematic analysis was conducted. Results: Thirty-one staff and 17 consumers participated separately in six focus groups. Themes identified by staff included a degree of fatalism, conceptualising tobacco use as choice rather than addiction and tensions between cessation support and broader models of care. Staff viewed smoke-free home and mental health service policies as effective at promoting quitting but contradictory to recovery-oriented models of care. Consumers identified smoking as an integral part of life and social networks, as a way of maintaining control and lack of social support to quit as key themes. While many consumers reported smoking inside the home, others described enforcing smoke-free rules. Conclusion: Social and living environments played an integral role in tobacco use and cessation for both staff and consumers. The role of community managed mental health organisations in addressing tobacco use within social and living environments was not strongly supported by staff and sometimes seen as antithetical to recovery-oriented models of care. Potential ways to address this include education and training for prospective and current community mental health organisation staff highlighting the synergy between the recovery-oriented model and provision of preventive health support.

Increasing Home Smoking Restrictions Boosts Underserved Moms' Bioverified Quit Success

Objectives: Standard smoking cessation treatments remain relatively ineffective in vulnerable populations. This study tested whether efforts to restrict residential smoking mediated the counseling treatment - smoking cessation association in a child tobacco smoke exposure (TSE) reduction trial. Methods: Maternal smokers (N = 300) with young children from low-income minority communities were randomized to counseling or standard care control to promote child TSE reduction. Secondary mediation analyses controlled for factors associated with smoking cessation. Results: Counseling group mothers were more likely than controls to increase home smoking restrictions (OR = 1.9, 95% CI 1.1-3.4) and quit smoking (OR = 11.0, 95% CI 6.3-19.2). As hypothesized, increasing home smoking restrictions improved likelihood of bioverified quit status at end of treatment (OR = 2.5, 95% CI 1.1-5.9) and partially mediated the association between counseling intervention and quit status. Conclusions: Results suggest that among maternal smokers known to experience increased challenges to quitting smoking, encouraging efforts to protect children from TSE by increasing home smoking restrictions may be an important counseling intervention element that facilitates smoking cessation.

Establishing a community-based smoke-free homes movement in Indonesia

INTRODUCTION

Indonesia has one of the highest male smoking rates in the world (67%) and secondhand smoke (SHS) exposure occurs in over 70% of households. To date, little research has investigated community recognition of the harms of secondhand smoke and support for a smoke-free homes (SFH) policy. This work discusses the development and implementation of a community-based SFH intervention attempting to establish SFH as a new social norm.

METHODS

Research was conducted in Yogyakarta, Java. A proof-of-concept study ascertained the feasibility of mounting a community-based SFH initiative in urban neighborhoods. Educational materials on SHS were developed and pretested. An intervention was piloted and evaluated in the homes of 296 smokers residing in 4 communities. Health educators and community health volunteers were trained to implement SFH.

RESULTS

Prior to the intervention, 11% of smokers did not smoke inside their home; post-intervention 54% of smokers did not smoke inside their home. The Yogyakarta District Health Office has supported large scale implementation of smoke-free homes. To date, 135 urban communities have declared themselves as having SFH.

CONCLUSIONS

This is the first community-based SFH initiative to be carried out in South-East Asia. The SFH movement redefines smoking cessation as a health issue of women and children, ties family welfare to core cultural values, and offers women a leadership role in tobacco control. The sustainability of SFH in Yogyakarta has been achieved by working closely with multiple levels of government and has contributed to shifts in tobacco control policy in Indonesia.

Provider Counseling About Secondhand Smoke Exposure for Urban Children With Persistent or Poorly Controlled Asthma

Urban children continue to be exposed to secondhand smoke (SHS), and this is particularly concerning for children with asthma. The objective of this study is to describe SHS exposure among urban children with asthma and assess SHS counseling delivered at primary care visits. We interviewed caregivers of 318 children (2-12 years) with persistent asthma at the time of a health care visit and reviewed medical records. We found that one third (32%) of children lived with a caregiver who smoked and that 15% lived with other smokers. Children whose caregivers smoked had the lowest prevalence of home smoking bans compared with homes with other smokers and no smokers (65% vs. 72% vs. 95%, respectively). Overall, 67% of caregivers received some SHS counseling. Providers most often counseled caregiver smokers; counseling occurred less frequently for caregivers in homes with other or no smokers. Further efforts to improve provider SHS counseling for all children with asthma are needed.

Smoke-Free Home and Vehicle Policies Among Community College Smokers

BACKGROUND

Personal smoke-free policies (home and vehicle) reduce secondhand smoke exposure, improve health, and increase quitting among smokers. Overall, 83.0% and 78.1% of Americans report smoke-free homes and vehicles, respectively. However, little is known about such policies among 2-year community college (CC) students, who represent a large, diverse population with higher smoking rates and less negative attitudes toward smoking than 4-year college students.

METHODS

Prevalence of, and factors associated with, personal smoke-free policies were examined for 2,475 CC smokers enrolled in a national trial of web-assisted tobacco intervention.

RESULTS

Few students had smoke-free home policies (20.7%), smoke-free vehicles (17.0%), both smoke-free home and vehicle policy (4.2%), or any policy (home or vehicle; 31.2%). In logistic regression models, having children was associated with a smoke-free home or any policy but not with a smoke-free vehicle, and among participants who had children, only 20% reported a smoke-free home, and only 15% had a smoke-free vehicle. In addition, not living with other smokers, living with parents or roommates/siblings (vs. alone), smoking later than 30 minutes after awakening, believing that smoking affects the health of others, and confidence in quitting were associated with presence of a smoke-free home or any policy; no variables were significantly associated with presence of a smoke-free vehicle.

CONCLUSIONS

CC students represent a priority population for intervention regarding smoke-free homes and vehicles. Such intervention can decrease exposure of others, including children, and potentially increase the likelihood of quitting in this high-risk population.

Income disparities in smoking cessation and the diffusion of smoke-free homes among U.S. smokers: Results from two longitudinal surveys

Background

Lower rates of successful quitting among low-income populations in the United States may be from slower dissemination of smoke-free homes, a predictor of cessation.

Objectives

To explore the role of smoke-free homes in cessation behavior across income levels.

Participants

Current smokers who were ≥18 years and who participated in the longitudinal 2002–2003 (n = 2801) or 2010–2011 (n = 2723) Tobacco Use Supplements to the Current Population Survey.

Measurements

We categorized income as multiples of the federal poverty level (FPL) (<300% FPL versus ≥300% FPL). We examined the association of smoke-free homes with 1+day quit attempts and 30+days abstinence at 1-year follow-up. We then conducted a mediation analysis to examine the extent that smoke-free homes contributed to income disparities in 30+days abstinence.

Results

Between the two surveys, heavy smoking (≥ 1 pack/day) declined by 17%, and smoking prevalence declined by 15% among those with higher-incomes (>300%FPL). Although similar in 2002, the prevalence of smoke-free homes was 33% lower among individuals living <300% FPL than those living ≥300% FPL. Although the quit attempt rate was similar, the 30+days abstinence rate was higher in the 2010–11 cohort than in 2002–3 cohort (20.6% versus 15.5%, p<0.008). Whereas smoking ≥ 1 pack/ day was associated with lower odds of 30+days abstinence (Adjusted odds ratio [AOR] 0.7; 95% CI 0.5–0.9), having a higher income (AOR 1.9, 95% CI 1.4–2.6) and a smoke-free home (AOR 1.6, 95% CI 1.2–2.1) were associated with greater odds of 30+day abstinence. Differential changes in smoke-free homes across income groups between the two surveys contributed to 36% (95% CI 35.7–36.3) of the observed income disparity in 30+days abstinence.

Conclusions

Increasing the diffusion of smoke-free homes among low-income populations may attenuate at least a third of the income disparities in smoking cessation, highlighting the need for interventions to increase adoption of smoke-free homes among low-income households.

Cessation and reduction in smoking behavior: impact of creating a smoke-free home on smokers

The aim of this study was to assess the effect of a creating a smoke-free home (SFH) on cessation and reduction of cigarette smoking on low-income smokers. This secondary data analysis uses data from study participants who were originally recruited through 2-1-1 information and referral call centers in Atlanta (Georgia, 2013), North Carolina (2014) and the Texas Gulf Coast (2015) across three randomized controlled trials testing an intervention aimed at creating SFHs, pooling data from 941 smokers. Participants who reported adopting a SFH were more likely to report quitting smoking than those who did not adopt a SFH. This was true at 3-month follow-up and even more pronounced at 6-month follow-up and persisted when considering only those who consistently reported no smoking at 3 and 6 months. Among those who did not stop smoking, the number of cigarettes per day declined significantly more and quit attempts were more frequent for those who created a SFH compared with those who did not. Findings suggest that creating a SFH facilitates cessation, reduces cigarette consumption and increases quit attempts. Future studies should assess the long-term impact of SFHs on sustaining cessation.

Household Implementation of Smoke-Free Rules in Homes and Cars: A Focus on Adolescent Smoking Behavior and Secondhand Smoke Exposure

PURPOSE

This study addresses the dearth of population-based research on how comprehensive household smoke-free rules (ie, in the home and car) relate to tobacco use and secondhand smoke (SHS) exposure among adolescents.

DESIGN

Analysis of 2014 Minnesota Youth Tobacco Survey.

SETTING

Representative sample of Minnesota youth.

PARTICIPANTS

A total of 1287 youth who lived with a smoker.

MEASURES

Measures included household smoke-free rules (no rules, partial rules-home or car, but not both-and comprehensive rules), lifetime and 30-day cigarette use, 30-day cigarette and other product use, and SHS exposure in past 7 days in home and car.

ANALYSIS

Weighted multivariate logistic, zero-inflated Poisson, and zero-inflated negative binomial regressions were used.

RESULTS

Compared to comprehensive rules, partial and no smoke-free rules were significantly and positively related to lifetime cigarette use (respectively, adjusted odds ratio [AOR] = 1.80, 95% confidence interval [CI] = 1.24-2.61; AOR = 2.87, 95% CI = 1.93-4.25), and a similar significant pattern was found for 30-day cigarette use (respectively, AOR = 2.20, 95% CI = 1.21-4.02; AOR = 2.45, 95% CI = 1.34-4.50). No smoke-free rules significantly predicted using cigarettes and other tobacco products compared to comprehensive rules. In both descriptive and regression analyses, we found SHS exposure rates in both the home and car were significantly lower among youth whose household implemented comprehensive smoke-free rules.

CONCLUSIONS

Comprehensive smoke-free rules protect youth from the harms of caregiver tobacco use. Relative to both partial and no smoke-free rules, comprehensive smoke-free rules have a marked impact on tobacco use and SHS exposure among youth who live with a smoker. Health promotion efforts should promote comprehensive smoke-free rules among all households and particularly households with children and adolescents.

Paternal smoking and maternal protective behaviors at home on infant's saliva cotinine levels

BackgroundWe investigated the association between paternal smoking, avoidance behaviors and maternal protective actions and smoke-free home rules with infant's saliva cotinine in Hong Kong.MethodsSix hundred and seventy-five non-smoking mothers (mean age 32.6 years) who attended the maternal-child health clinics with their newborns aged ≤18 months completed a questionnaire about paternal smoking and avoidance behaviors, maternal protective actions, smoke-free rules at home, and infant's second-hand smoke (SHS) exposure. Three hundred and eighty-nine infants provided saliva sample and its cotinine was tested.ResultsThe geometric mean of infant's saliva cotinine was 1.07 ng/ml (95% confidence interval (CI): 0.98, 1.16). Infants living in smoking families with SHS exposure had significantly higher cotinine level than in non-smoking families (adjusted β=0.25, 95% CI: 0.16, 0.33). Paternal smoking near infants (within 1.5 m) was associated with higher cotinine level (adjusted β=0.60, 95% CI: 0.22, 0.98), which was not reduced by avoidance behaviors (e.g., smoking in kitchen or balcony). Even fathers smoking ≥3 m away from infants was associated with higher cotinine level than non-smoking families (adjusted β=0. 09, 95% CI: 0.01, 0.16). Maternal protective actions and smoke-free home rules were not significantly associated with reduced cotinine level.ConclusionPaternal smoking avoidance, maternal protective actions, and smoke-free policy at home did not reduce infant's saliva cotinine.

Impact of smoke-free housing policy lease exemptions on compliance, enforcement and smoking behavior: A qualitative study

This paper investigates the impacts of smoke-free housing policies on compliance, enforcement and smoking behavior. From 2012 to 2014, we studied two affordable housing providers in Canada with comprehensive smoke-free policies: Waterloo Regional Housing that required new leases to be non-smoking and exempted existing leases, and Yukon Housing Corporation that required all leases (existing and new) to be non-smoking. Focus groups and key informant interviews were conducted with 31 housing and public health staff involved in policy development and implementation, and qualitative interviews with 56 tenants. Both types of smoke-free policies helped tenants to reduce and quit smoking. However, exempting existing tenants from the policy created challenges for monitoring compliance and enforcing the policy, and resulted in ongoing tobacco smoke exposure. Moreover, some new tenants were smoking in exempted units, which undermined the policy and maintained smoking behavior. Our findings support the implementation of complete smoke-free housing policies that do not exempt existing leases to avoid many of the problems experienced by staff and tenants. In jurisdictions where exempting existing leases is still required by law, adequate staff resources for monitoring and enforcement, along with consistent and clear communication (particularly regarding balconies, patios and outdoor spaces) will encourage compliance.

•

Smoke-free housing policy exemptions contribute to continued tobacco smoke exposure.

•

Smoke-free housing policy exemptions contribute to compliance/enforcement issues.

•

Resources for proactive policy enforcement will help to encourage compliance.

The belief that secondhand smoke causes serious illness among Chinese smokers: Smoking cessation and intention to quit

INTRODUCTION

Approximately 70% of Chinese adults are exposed to secondhand smoke (SHS) each week and 100 000 people die from SHS every year in China. This study evaluates associations between the belief that SHS causes serious illness and intention to quit, attempts to quit, and quitting smoking, among Chinese adult smokers.

METHODS

A nationally representative sample of 4866 current and former adult smokers in the Global Adult Tobacco Survey was used for analysis. Multivariable weighted regression models were built to determine significant associations between smoking cessation behavior and the belief that SHS causes serious illness.

RESULTS

The belief that SHS causes serious illness was associated with intention to quit (AOR 1.62, 95% CI: 1.24, 2.12) and quitting smoking (AOR 1.44, 95% CI: 1.15, 1.81). Other variables associated with smoking cessation behavior included not permitting smoking at home (intending: AOR 1.59, 95% CI: 1.10, 2.31; attempting: AOR 1.73, 95% CI: 1.25, 2.40; quitting: AOR 2.71, 95% CI: 1.90, 3.89) and the belief that smoking causes serious illness (attempting: AOR 1.63, 95% CI: 1.14, 2.33; quitting: AOR 1.66, 95% CI: 1.21, 2.28).

CONCLUSIONS

These results indicate that believing SHS causes serious illness may play a role in quitting smoking. In China's collectivistic culture, interventions should focus on how SHS exposure affects the health of friends and family. This message can be combined with other proven tobacco control methods such as: smoking bans in public places, warning labels on cigarette packages, high cigarette taxes, and mass media campaigns to reduce tobacco use.