Functioning program infrastructure is necessary for achieving public health outcomes. It is what supports program capacity, implementation, and sustainability. The public health program infrastructure model presented in this article is grounded in data from a broader evaluation of 18 state tobacco control programs and previous work. The newly developed Component Model of Infrastructure (CMI) addresses the limitations of a previous model and contains 5 core components (multilevel leadership, managed resources, engaged data, responsive plans and planning, networked partnerships) and 3 supporting components (strategic understanding, operations, contextual influences). The CMI is a practical, implementation-focused model applicable across public health programs, enabling linkages to capacity, sustainability, and outcome measurement.

IMPORTANCE Cigarette marketing contributes to initiation of cigarette smoking among young people, which has led to restrictions on use of cigarette advertising. However, little is known about other tobacco advertising and progression to tobacco use in youth and young adults. OBJECTIVE To investigate whether receptivity to tobacco advertising among youth and young adults is associated with progression (being a susceptible never user or ever user) to use of the product advertised, as well as conventional cigarette smoking. DESIGN, SETTING, AND PARTICIPANTS The Population Assessment of Tobacco and Health (PATH) Study at wave 1 (2013-2014) and 1-year follow-up at wave 2 (2014-2015) was conducted in a US population-based sample of never tobacco users aged 12 to 24 years from wave 1 of the PATH Study (N = 10 989). Household interviews using audio computer-assisted self-interviews were conducted. EXPOSURES Advertising for conventional cigarettes, electronic cigarettes (e-cigarettes), cigars, and smokeless tobacco products at wave 1. MAIN OUTCOMES AND MEASURES Progression to susceptibility or ever tobacco use at 1-year follow-up in wave 2. RESULTS Of the 10 989 participants (5410 male [weighted percentage, 48.3%]; 5579 female [weighted percentage, 51.7%]), receptivity to any tobacco advertising at wave 1 was high for those aged 12 to 14 years (44.0%; 95% confidence limit [CL], 42.6%-45.4%) but highest for those aged 18 to 21 years (68.7%; 95% CL, 64.9%-72.2%). e-Cigarette advertising had the highest receptivity among all age groups. For those aged 12 to 17 years, susceptibility to use a product at wave 1 was significantly associated with product use at wave 2 for conventional cigarettes, e-cigarettes, cigars, and smokeless tobacco products. Among committed never users aged 12 to 17 years at wave 1, any receptivity was associated with progression toward use of the product at wave 2

Objective Multiunit housing (MUH) residents are susceptible to secondhand smoke (SHS) exposure, which can transfer between living units. This review summarises existing scientific literature relevant to smoke-free MUH, discusses knowledge gaps and provides recommendations for future research to inform public health action. Data sources We conducted a systematic search of peer-reviewed articles using three databases: EBSCOhost CINAHL, PubMed and Web of Science. Study selection Article titles, abstracts and text were reviewed to ascertain three inclusion criteria: (1) English language; (2) conducted in the USA; (3) reported on baseline data, development, implementation or evaluation of smoke-free MUH. Data extraction We used a multistep process to identify eligible articles: (1) two reviewers separately evaluated article titles; (2) two reviewers separately evaluated abstracts and (3) one reviewer read each article and determined inclusion eligibility. Data synthesis We identified and included 35 articles published during 2001–2014, grouped based on broad themes: MUH resident (n=16); MUH operator (n=6); environmental monitoring and biomarkers (n=9); economic (n=2); legal (n=3); and implementation process and policy impact (n=8). Studies with multiple themes were included in all relevant groups. Conclusions Existing literature has focused on self-reported, cross-sectional studies of MUH residents and operators; some studies of environmental markers, biomarkers and economic indicators have also been conducted. Future research on smoke-free MUH policy compliance and enforcement, and on the impact of these policies on smoking behaviours and health outcomes, could further inform public health planning, policy and practice. Despite these gaps, the current literature provides sufficient evidence for action to eliminate SHS exposure in MUH.