Household smoking restrictions and adolescent smoking

Smoke-Free Homes and Youth Smoking Behavior in Italy: Findings From the SIDRIAT Longitudinal Study

INTRODUCTION

Few studies have explored whether smoke-free homes (SFH) can promote reductions of smoking onset in children, particularly in households with smoking parents. The aim of this study was to determine whether youths living in SFH were less likely to progress to smoking.

METHODS

We conducted a longitudinal, 11-year, two-wave study on 778 children aged 6-7 years and 985 adolescents aged 13-14 in 2002. At baseline, youths were asked whether or not adults smoked at home (SFH); at follow-up, in 2012-2014, whether a household smoking ban (HSB) had been implemented during the course of the study. Logistic regression was used to investigate SFH effects on youth smoking behaviors.

RESULTS

Sixty-nine percent of children and 54% of adolescents reported SFH at baseline; 80% of children and 71% of adolescents reported HSB at follow-up. Youths living in non-SFH at baseline were twice as likely to become established smokers at follow-up compared with those living in SFH (children + adolescents: odds ratio [OR] = 1.99; 95% confidence interval [CI] = 1.39-2.94; adolescents: OR = 2.15; 95% CI = 1.36-3.42; children: OR = 1.69; 95% CI = 0.80-3.56), either for youths living with nonsmoking parents at baseline and follow-up (OR for both children and adolescents = 3.06; 95% CI = 1.70-5.51) or for youths with ≥1 smoking parent at baseline and follow-up (OR = 2.12, 95% CI = 1.01-4.46). The effect was greater in youths living in the worst situation (non-SFH at baseline + non-HSB at follow-up) compared with those in the best situation (SFH at baseline + HSB at follow-up; children: OR = 3.20; 95% CI = 1.10-9.35; adolescents: OR = 5.41; 95% CI = 2.66-10.97).

CONCLUSIONS

Household smoke-free policies had a significant impact in protecting youths from becoming established smokers.

IMPLICATIONS

The results of the SIDRIAT longitudinal study showed that youths living in homes where people smoked at baseline were twice as likely to become established smokers 11 years later at follow-up, compared with youths living in SFH. The lower number of established smokers among youths living in SFH at baseline was recorded not only in households with nonsmoking parents but also in those with smoking parents. Implementing a home smoking ban is recommended in all households. Living in homes with no ban may be a risk factor for smoking initiation, which is independent of having smoking parents.

Smoke-free homes, smoking susceptibility and familial smoking among never-smoking high school students: a cross-sectional analysis

BACKGROUND

Research has shown that living in a smoke-free home has a positive effect on adolescents' perceived acceptance of smoking. However, the relationship between smoke-free homes and adolescent smoking behaviours remains unclear. The aim of this study was to examine the association between smoke-free homes and smoking susceptibility among high school students, and to determine whether these associations persist when analyses are stratified by familial smoking status.

METHODS

We conducted a random cross-sectional survey (2012/2013 Youth Smoking Survey) of primary, junior and high school students in Canada (n = 47 203). Multivariable logistic regression analyses were used to examine the associations between smoke-free homes and susceptibility to smoking among never-smoking high school students, with and without stratification by familial smoking.

RESULTS

Analyses showed that adolescents living in a smoke-free home had reduced odds of being susceptible to smoking (odds ratio [OR] 0.582, 95% confidence interval [CI] 0.428-0.791) compared with their peers living in households where smoking was permitted. When adolescents had other family members who were smokers, having a smoke-free home was not significantly associated with reduced smoking susceptibility (OR 0.878, 95% CI 0.721-1.071).

INTERPRETATION

Our results suggest that smoke-free homes may influence future smoking initiation. Optimal success in preventing youth smoking uptake necessitates having a coherent antismoking message between the home smoking environment and familial smoking behaviour.

Effect of self-reported home smoking restriction on smoking initiation among adolescents in Taiwan: a prospective cohort study

OBJECTIVE

The aims of this study were to investigate the influence of home smoking restriction (HSR) and the modified effect of parental smoking on smoking initiation among adolescents.

DESIGN

Prospective Cohort Study.

SETTING

Junior high school in Keelung City, Taiwan.

PARTICIPANTS

This study collected and evaluated primary data from the Adolescent Smoking and Other Health-Related Behaviour Survey conducted in Keelung City, which aimed to investigate smoking and health-related behaviours in junior high school students (2008-2009). Data on students free of smoking in 2008 and following them until 2009 (n=901) to ascertain whether they had started smoking were analysed with logistic regression mode to examine the proposed postulates.

MAIN OUTCOME MEASURE

The outcome variable was smoking initiation, which was defined as smoking status (yes/no) in the 2009 follow-up questionnaire. The main independent variable was HSR obtained from an adolescent self-reported questionnaire. Information on parental smoking was measured by adolescents self-reporting the smoking behaviour of their father and mother.

RESULTS

The rate of HSR was 29.79% among 7th grade adolescents. The effect of HSR on smoking initiation in adolescents was statistically significantly modified by paternal smoking (p=0.04) but not by maternal smoking (p=0.54). The effect of HSR on smoking initiation was small for fathers with the habit of smoking (OR=0.89, 95% CI (0.42 to 1.88)), but the corresponding effect size was 3.2-fold (OR=2.84, 95% CI 1.19 to 6.81) for fathers without the habit of smoking.

CONCLUSIONS

Paternal smoking behaviour may play an interactive role with HSR in preventing smoking initiation among Taiwanese adolescents.

Strict smoke-free home policies among smoking parents in pediatric settings

OBJECTIVE

To examine strict smoke-free home policies among smoking parents assessed in pediatric offices.

METHODS

We analyzed baseline parental survey data from 10 control practices in a national trial of pediatric office-based tobacco control interventions (Clinical Effort Against Secondhand Smoke Exposure, CEASE). We used logistic regression models with generalized estimating equations to examine factors associated with strict smoke-free home policies.

RESULTS

Subjects were 952 parents who were current smokers. Just over half (54.3%) reported strict smoke-free home policies. Few reported being asked (19.9%) or advised (17.1%) regarding policies by pediatricians. Factors associated with higher odds of policies were child 5 years or younger (adjusted odds ratio [aOR] 2.43, 95% confidence interval [CI] 1.53, 3.86), nonblack race/ethnicity (aORs 2.17-2.60, 95% CIs 1.25-5.00), non-Medicaid (HMO/private (aOR 1.84, 95% CI 1.31, 2.58); self-pay/other aOR 1.76, 95% CI 1.12, 2.78); well-child versus sick child visit (aOR 1.61, 95% CI 1.11, 2.34), fewer than 10 cigarettes per day (aOR 1.80, 95% CI 1.31, 2.47), no other home smokers (aOR 1.68, 95% CI 1.26, 2.25), only father smoking (aOR 1.73, 95% CI 1.06, 2.83), and strict smoke-free car policy (aOR 3.51, 95% CI 2.19, 5.64).

CONCLUSIONS

Nearly half of smoking parents did not have strict smoke-free home policies. Parents were less likely to report policies if they were heavier smokers, black, living with other smokers, or attending a sick child visit; if they did not have a young child or smoke-free car policy; if they had a child on Medicaid; and if anyone other than only the father smoked. Few pediatricians addressed or recommended strict smoke-free home policies in an office visit. The pediatric office encounter represents a currently missed opportunity to intervene regarding smoke-free homes, particularly for high-risk groups.

Smoking Restrictions Among Households of Childhood and Young Adult Cancer Survivors: Implications for Tobacco Control Efforts

PURPOSE

This study assessed the prevalence of smoking restrictions among households of survivors of childhood and young adult cancer who smoke. It also examined the relationship between home smoking restrictions and motivation to quit smoking, as well as other smoking, psychosocial, and environmental factors.

METHODS

Participants included 374 smokers who were childhood or young adult cancer survivors (between the ages of 18 and 55 years) recruited from five cancer centers to participate in a randomized smoking cessation trial. Survivors completed baseline measures about the smoking restrictions in their households, their smoking behavior, and related psychological and environmental factors, which are the focus of the current manuscript.

RESULTS

Almost 54% of survivors reported that smoking was prohibited in their households. Living with a nonsmoking partner, having a strict smoking policy at work, and not being nicotine dependent all increased the likelihood of having a total home smoking ban. Participants who were older, smoked more cigarettes per day over the prior week, and received prior chemotherapy were less likely to reside in households that adopted total bans.

CONCLUSION

Findings suggest that socio-environmental factors and current smoking behaviors are associated with complete smoking restrictions in the homes of survivors. These factors should be considered when communicating with survivors about the importance of establishing strict smoking policies in their private residences.

Unexpected benefits: pathways from smoking restrictions in the home to psychological well-being and distress among urban Black and Puerto Rican Americans

INTRODUCTION

This study examined the pathways from smoking policies in the home (no ban, partial ban, and total ban on smoking) to psychological well-being (e.g., self-esteem) and psychological symptoms (e.g., depressive symptoms) as mediated by a healthy lifestyle (engaging in exercise, eating healthful foods, and sleeping enough) and cigarette smoking among a sample of urban Black and Puerto Rican Americans.

METHODS

Questionnaire data were collected from 816 participants (mean age = 32 years). Structural equation modeling (SEM) was employed to examine the pathways of restrictions on smoking in the home to a healthy lifestyle, cigarette smoking, psychological well-being, and psychological distress.

RESULTS

The SEM showed mediational pathways linking higher levels of restrictions on smoking in the home with a healthy lifestyle, which in turn was related negatively to psychological distress and positively to psychological well-being. Higher levels of restrictions on smoking in the home were also related inversely to cigarette smoking, which was related positively to psychological distress and negatively to psychological well-being.

CONCLUSIONS

Findings show that higher levels of restrictions on smoking in the home are associated with a healthier lifestyle and less cigarette smoking, which in turn are associated with better psychological functioning. Greater restrictions on smoking in the home may thus support positive lifestyle choices, including exercise and nutrition, as well as psychological functioning.

Family composition and children's exposure to adult smokers in their homes

OBJECTIVE

Smoking behavior is strongly influenced by the social environment. More information is needed about how the composition of households with children is associated with adult smoking behavior so that more effective interventions to reduce children's secondhand smoke exposure can be devised and implemented.

METHODS

Using data from the Medical Expenditure Panel Survey 2000-2004, we conducted cross-sectional analyses to assess how adult smoking behavior is associated with household characteristics, including the number of adults and smokers present, the relationship of the child to the head of household, and relationships between adult members of the household.

RESULTS

More than one third (34.4%) of children lived with > or =1 adult smoker. Almost half (49.4%) of poor children lived with a smoker, and they were more likely to live with multiple smokers compared with those who lived at >400% of the federal poverty level (21.2% vs 7.8%). Approximately 5 million children lived in households headed by an adult other than their parent, and they were significantly more likely to live with smokers: 53.4% of children who lived in their grandparents' homes and 46.2% of children in homes of other adults lived with at least 1 adult smoker, compared with 33.3% who lived in their parents' home. A total of 59.4% of all children who lived with a smoker had a smoking mother, and 56.7% of those children lived with > or =2 smokers, whereas only 17.0% of children whose mother did not smoke had smoking adults in the home.

CONCLUSIONS

These findings demonstrate the significant influence of household composition on children's likelihood to live in homes with adult smokers.

Impact of parental home smoking policies on policy choices of independently living young adults

OBJECTIVE

To determine whether adolescents living in parental homes where smoking is banned are more likely to move into smoke-free living quarters when they leave home.

METHODS

We analysed data on 693 youths from a 4-year, three-wave prospective study of a representative sample of Massachusetts adolescents (aged 12-17). All youths resided in independent living quarters at follow-up. The primary outcome was presence of a smoking ban in the living quarters at follow-up. The primary predictor was presence of a household smoking ban in the parental home, assessed 2 years before the outcome. Generalised linear mixed effects models examined the effect of a parental household smoking ban on the odds of moving into smoke-free living quarters at follow-up overall and stratified by smoking status at follow-up.

RESULTS

Youths leaving home had much higher odds of moving to smoke-free living quarters if their parental household had had a smoking ban (odds ratio (OR) = 12.70, 95% CI, 6.19 to 26.04). Other independent predictors included moving into a school or college residence (OR = 3.88, 95% CI 1.87 to 8.05), and not living with smokers at follow-up (OR = 3.91, 95% CI 1.93 to 7.92).

CONCLUSIONS

A household smoking ban in the parental home appears to lead youths to prefer smoke-free living quarters once they leave home.

The relationship between local clean indoor air policies and smoking behaviours in Minnesota youth

BACKGROUND

While clean indoor air (CIA) policies are intended to reduce exposure to second-hand smoke in the workplace, restrictions in public workplaces have the potential to discourage youth smoking. There is growing evidence from cross-sectional and ecological studies, but limited evidence from longitudinal studies that this is so.

OBJECTIVE

To evaluate the association between local CIA policies and smoking behaviours among Minnesota youth over time.

DESIGN, SETTING AND SUBJECTS

A cohort of 4233 Minnesota youths, ages 11 to 16 at baseline, was interviewed via telephone for 6 years (2000-2006). Individual, family and community level variables were collected from participants every 6 months. A generalised estimating equation (GEE) logistic regression was used to assess the relationship between CIA policies and past-month smoking in youth over time. The analysis was controlled for potential confounders at individual and community levels.

RESULTS

There was not significant association between CIA policies and youth smoking behaviours in the multivariate analyses. At the individual level, parental smoking significantly increased the odds of smoking nearly 40% and close friend smoking increased the odds of past-month smoking by nearly 100% for each close friend. Banning smoking in the home was significantly associated with a 12% reduction in the odds of past-month smoking.

CONCLUSION

After accounting for other community and individual level factors known to be associated with youth smoking, there was no significant association between CIA policies and past-month smoking for youth over time.

Household smoking bans and adolescent antismoking attitudes and smoking initiation: findings from a longitudinal study of a Massachusetts youth cohort

OBJECTIVES

We sought to determine whether adolescents living in households in which smoking was banned were more likely to develop antismoking attitudes and less likely to progress to smoking compared with those living in households in which smoking was not banned.

METHODS

We completed a longitudinal 4-year, 3-wave study of a representative sample of 3834 Massachusetts youths aged 12 to 17 years at baseline; 2791 (72.8%) were reinterviewed after 2 years, and 2217 (57.8%) were reinterviewed after 4 years. We used a 3-level hierarchical linear model to analyze the effect of a household ban on antismoking attitudes and smoking behaviors.

RESULTS

The absence of a household smoking ban increased the odds that youths perceived a high prevalence of adult smoking, among both youths living with a smoker (odds ratio [OR] = 1.56; 95% confidence interval [CI] = 1.15, 2.13) and those living with nonsmokers (OR = 1.75; 95% CI = 1.29, 2.37). Among youths who lived with nonsmokers, those with no home ban were more likely to transition from nonsmoking to early experimentation (OR = 1.89; 95% CI = 1.30, 2.74) than were those with a ban.

CONCLUSIONS

Home smoking bans may promote antismoking attitudes among youths and reduce progression to smoking experimentation among youths who live with nonsmokers.

Cigarette reduction: an intervention for adolescent smokers

This observational study examined whether adolescents who were not interested in quitting could reduce cigarette smoking and if cigarette reduction led to a corresponding and significant reduction in biomarkers of exposure. The study design was a randomized, open-label trial of nicotine patch and nicotine gum with an added placebo control. Participants (n=103) attended 4 treatment visits over 4 weeks and follow-up visits at 3- and 6-months. Participants were told to reduce their smoking by 25% of baseline smoking during the 1st week and by 50% of baseline smoking during the subsequent 3 weeks. Of consented participants, 91.3% (n=94/103) completed the study until the end-of-treatment, 85.1% (n=80/94) completed the 3-month follow-up visit and 71.3% (n=67/94) completed the 6-month follow-up visit. Participants had a very high prevalence of co-morbidity. With regard to the percentage of participants who achieved a 50% reduction of baseline smoking, there were no significant differences among treatment groups (p=.89). At the end-of-treatment, 49.4% of participants (n=41) had reduced smoking by at least 50%. Additionally, there was no significant group, visit or interaction effect of a biomarker measure for carcinogen exposure (p>.05). The results suggest that reduction may be a potential aid to engage adolescents who are unable or unwilling to quit, but should not be an end goal. The effect of treatment methods on outcome measures did not differ significantly.