Interventions are needed to protect the health of children who live with smokers. We pilot-tested a real-time intervention for promoting behavior change in homes that reduces second hand tobacco smoke (SHS) levels. The intervention uses a monitor and feedback system to provide immediate auditory and visual signals triggered at defined thresholds of fine particle concentration. Dynamic graphs of real-time particle levels are also shown on a computer screen. We experimentally evaluated the system, field-tested it in homes with smokers, and conducted focus groups to obtain general opinions. Laboratory tests of the monitor demonstrated SHS sensitivity, stability, precision equivalent to at least 1 µg/m3, and low noise. A linear relationship (R2 = 0.98) was observed between the monitor and average SHS mass concentrations up to 150 µg/m3. Focus groups and interviews with intervention participants showed in-home use to be acceptable and feasible. The intervention was evaluated in 3 homes with combined baseline and intervention periods lasting 9 to 15 full days. Two families modified their behavior by opening windows or doors, smoking outdoors, or smoking less. We observed evidence of lower SHS levels in these homes. The remaining household voiced reluctance to changing their smoking activity and did not exhibit lower SHS levels in main smoking areas or clear behavior change; however, family members expressed receptivity to smoking outdoors. This study established the feasibility of the real-time intervention, laying the groundwork for controlled trials with larger sample sizes. Visual and auditory cues may prompt family members to take immediate action to reduce SHS levels. Dynamic graphs of SHS levels may help families make decisions about specific mitigation approaches.

Objective To examine hookah tobacco use, hookah lounge attendance, and facilitators and barriers to hookah lounge attendance. Methods A cross-sectional Web-based survey of a random sample of 1332 undergraduate students (Mean Age = 21.2 years) attending a United States university. Results The majority of respondents (72.8%) had ever smoked hookah tobacco, and 28% of those had ever smoked during adolescence. The majority of ever hookah smokers (81.5%) and a portion of never hookah smokers (20%) had ever been to a hookah lounge. The adjusted odds of ever visiting a hookah lounge were 2.1 times higher among participants who reported that the closest hookah lounge to the university was < 5 miles away than those who reported that the closest hookah lounge was ≥ 5 miles away. Facilitators of visiting hookah lounges included friends and close proximity of hookah lounges to campus; barriers included cost of smoking hookah, crowded lounges, and having to be 18 years old. Conclusion Youth are vulnerable to experimenting with hookah tobacco smoking. Hookah lounges provide patrons the opportunity to smoke hookah tobacco with smoker and non-smoker friends in entertaining settings. Our findings suggest that zoning laws and anti-hookah smoking legislation may help curb hookah uptake by prohibiting hookah lounges from opening in close proximity to universities, reducing the density of hookah lounges in cities, and raising the admission age for hookah lounges to 21 years.

Real-time sensing and computing technologies are increasingly used in the delivery of real-time health behavior interventions. Auditory signals play a critical role in many of these interventions, impacting not only behavioral response but also treatment adherence and participant retention. Yet, few behavioral interventions that employ auditory feedback report the characteristics of sounds used and even fewer design signals specifically for their intervention. This paper describes a four-step process used in developing and selecting auditory warnings for a behavioral trial designed to reduce indoor secondhand smoke exposure. In step one, relevant information was gathered from ergonomic and behavioral science literature to assist a panel of research assistants in developing criteria for intervention-specific auditory feedback. In step two, multiple sounds were identified through internet searches and modified in accordance with the developed criteria, and two sounds were selected that best met those criteria. In step three, a survey was conducted among 64 persons from the primary sampling frame of the larger behavioral trial to compare the relative aversiveness of sounds, determine respondents' reported behavioral reactions to those signals, and assess participant's preference between sounds. In the final step, survey results were used to select the appropriate sound for auditory warnings. Ultimately, a single-tone pulse, 500 milliseconds (ms) in length that repeats every 270 ms for 3 cycles was chosen for the behavioral trial. The methods described herein represent one example of steps that can be followed to develop and select auditory feedback tailored for a given behavioral intervention.

BackgroundPrevious secondhand smoke (SHS) reduction interventions have provided only delayed feedback on reported smoking behaviour, such as coaching, or presenting results from child cotinine assays or air particle counters.DesignThis SHS reduction trial assigned families at random to brief coaching and continuous real-time feedback (intervention) or measurement-only (control) groups.ParticipantsWe enrolled 298 families with a resident tobacco smoker and a child under age 14.InterventionWe installed air particle monitors in all homes. For the intervention homes, immediate light and sound feedback was contingent on elevated indoor particle levels, and up to four coaching sessions used prompts and praise contingent on smoking outdoors. Mean intervention duration was 64 days.MeasuresThe primary outcome was ‘particle events’ (PEs) which were patterns of air particle concentrations indicative of the occurrence of particle-generating behaviours such as smoking cigarettes or burning candles. Other measures included indoor air nicotine concentrations and participant reports of particle-generating behaviour.ResultsPEs were significantly correlated with air nicotine levels (r=0.60) and reported indoor cigarette smoking (r=0.51). Interrupted time-series analyses showed an immediate intervention effect, with reduced PEs the day following intervention initiation. The trajectory of daily PEs over the intervention period declined significantly faster in intervention homes than in control homes. Pretest to post-test, air nicotine levels, cigarette smoking and e-cigarette use decreased more in intervention homes than in control homes.ConclusionsResults suggest that real-time particle feedback and coaching contingencies reduced PEs generated by cigarette smoking and other sources.Trial registration numberNCT01634334; Post-results.