Price discounting of cigarettes in milk bars near secondary schools occurs more frequently in areas with greater socioeconomic disadvantage

Price discounting of cigarettes in milk bars near secondary schools occurs more frequently in areas with greater socioeconomic disadvantag

Smoker sensitivity to retail tobacco displays and quitting: a cohort study

ABSTRACTAims  To assess whether sensitivity to point of sale (POS) cigarette displays influences quitting behaviour.Design  Prospective cohort study.Setting  Victoria, Australia.Participants  A total of 222 adult smokers were surveyed at baseline in 2006 and followed‐up 18 months later.Measurements  Baseline sensitivity to POS displays, which included the frequency of ‘noticing displays’, ‘impulse purchasing behaviour’ and ‘deciding on brand based on POS displays’; smoking status at follow‐up.Findings  At follow‐up, 17.0% were no longer smokers. After adjusting for covariates, compared to those with low POS display sensitivity, smokers who had a medium or high level of sensitivity to POS displays were significantly less likely to have quit at follow‐up [odds ratio (OR) = 0.32, 95% confidence interval (CI) = 0.14–0.74; OR = 0.27, 95% CI = 0.08–0.91, respectively].Conclusions  The presence of cigarette pack displays in stores may make it more difficult for smokers to quit smoking successfully

Adjusted prevalence of maximal sun protection and sunburn among Australian adults aged 18–69 years (1987–1988 to 2010s).

Data points represent cross-sectional samples from summers in each decade.</p

Sun exposure and sun protection use among Melbourne residents by decade, relative to before the SunSmart program.

Sun exposure and sun protection use among Melbourne residents by decade, relative to before the SunSmart program.</p

Adjusted prevalence of sun protection behaviours among Australian adults aged 18–69 years (1987–1988 to 2010s).

Used at least 1 sun protection behaviour (SPB) defined as specifically used sunscreen or wore a hat or stayed mostly in the shade when outdoors during peak ultraviolet radiation hours on summer weekends. Data points represent cross-sectional samples from summers in each decade.</p

Demographic characteristics of respondents by decade.

Demographic characteristics of respondents by decade.</p

Changes in tanning attitudes among Melbourne residents by decade, relative to before the SunSmart program.^a

Changes in tanning attitudes among Melbourne residents by decade, relative to before the SunSmart program.a</p

E-cigarette use and other risk factors associated with tobacco smoking susceptibility among Australian adolescents

OBJECTIVE: To explore risk factors for smoking susceptibility among Australian adolescents to inform prevention policies and programs. METHODS: Cross-sectional survey of students aged 12-17 years who reported having never smoked (n=4,171). Bivariate associations between smoking susceptibility and a range of factors previously linked to youth smoking and smoking susceptibility were initially examined, with significant factors (p<0.05) included in a final multivariable logistic regression model. RESULTS: Eleven percent of adolescents who had never smoked were susceptible to smoking. Smoking susceptibility was independently associated with ever use of e-cigarettes (adjusted odds ratio [AOR]=3.26, 95% confidence interval [CI]: 1.83-5.81), perceiving those who smoke to be more popular (AOR=2.87, 95% CI: 1.62-5.10), having a close friend/s who smokes (AOR=2.66, 95% CI: 1.61-4.40), not perceiving smoking one or two cigarettes occasionally as personally dangerous (AOR=2.56, 95% CI: 1.61-4.09), and having symptoms of depression (AOR=1.59, 95% CI: 1.06-2.38). CONCLUSIONS: The strongest smoking-initiation risk factor identified was ever use of e-cigarettes, with social norms, harm misperceptions around low-rate tobacco use and mental health also linked to smoking susceptibility. IMPLICATIONS FOR PUBLIC HEALTH: Stronger e-cigarette regulations that reduce promotion to and access by youth, as well as interventions addressing the other identified risk factors, may help prevent future smoking uptake among Australian adolescents

Additional file 1: of Who drinks sugar sweetened beverages and juice? An Australian population study of behaviour, awareness and attitudes

Questionnaire and corresponding variable sub-categories. List of questions asked during the interview. (DOCX 21 kb