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BACKGROUND: Previous 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. DESIGN: This SHS reduction trial assigned families at random to brief coaching and continuous real-time feedback (intervention) or measurement-only (control) groups. PARTICIPANTS: We enrolled 298 families with a resident tobacco smoker and a child under age 14. INTERVENTION: We 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. MEASURES: The 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. RESULTS: PEs 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. CONCLUSIONS: Results suggest that real-time particle feedback and coaching contingencies reduced PEs generated by cigarette smoking and other sources. TRIAL REGISTRATION NUMBER: NCT01634334; Post-results.
Assuntos
Poluição do Ar em Ambientes Fechados/análise , Prevenção do Hábito de Fumar/métodos , Poluição por Fumaça de Tabaco/análise , Fumar Tabaco/prevenção & controle , Adulto , Criança , Pré-Escolar , Retroalimentação , Feminino , Humanos , Lactente , Análise de Séries Temporais Interrompida , Masculino , Tutoria/métodos , Nicotina/análise , Vaping/prevenção & controle , Adulto JovemRESUMO
INTRODUCTION: Exposure to fine particulate matter in the home from sources such as smoking, cooking, and cleaning may put residents, especially children, at risk for detrimental health effects. A randomized clinical trial was conducted from 2011 to 2016 to determine whether real-time feedback in the home plus brief coaching of parents or guardians could reduce fine particle levels in homes with smokers and children. DESIGN: A randomized trial with two groups-intervention and control. SETTING/PARTICIPANTS: A total of 298 participants from predominantly low-income households with an adult smoker and a child aged <14 years. Participants were recruited during 2012-2015 from multiple sources in San Diego, mainly Women, Infants and Children Program sites. INTERVENTION: The multicomponent intervention consisted of continuous lights and brief sound alerts based on fine particle levels in real time and four brief coaching sessions using particle level graphs and motivational interviewing techniques. Motivational interviewing coaching focused on particle reduction to protect children and other occupants from elevated particle levels, especially from tobacco-related sources. MAIN OUTCOME MEASURES: In-home air particle levels were measured by laser particle counters continuously in both study groups. The two outcomes were daily mean particle counts and percentage time with high particle concentrations (>15,000 particles/0.01 ft3). Linear mixed models were used to analyze the differential change in the outcomes over time by group, during 2016-2017. RESULTS: Intervention homes had significantly larger reductions than controls in daily geometric mean particle concentrations (18.8% reduction vs 6.5% reduction, p<0.001). Intervention homes' average percentage time with high particle concentrations decreased 45.1% compared with a 4.2% increase among controls (difference between groups p<0.001). CONCLUSIONS: Real-time feedback for air particle levels and brief coaching can reduce fine particle levels in homes with smokers and young children. Results set the stage for refining feedback and possible reinforcing consequences for not generating smoke-related particles. TRIAL REGISTRATION: This study is registered at www.clinicaltrials.gov NCT01634334.
Assuntos
Poluição do Ar em Ambientes Fechados/prevenção & controle , Material Particulado/análise , Abandono do Hábito de Fumar/métodos , Fumar/efeitos adversos , Poluição por Fumaça de Tabaco/prevenção & controle , Adolescente , Adulto , Poluição do Ar em Ambientes Fechados/efeitos adversos , Poluição do Ar em Ambientes Fechados/análise , Criança , Pré-Escolar , Feminino , Humanos , Lactente , Recém-Nascido , Masculino , Entrevista Motivacional/métodos , Pais/psicologia , Material Particulado/efeitos adversos , Fumantes/psicologia , Poluição por Fumaça de Tabaco/efeitos adversos , Poluição por Fumaça de Tabaco/análise , Adulto JovemRESUMO
Children are at risk for adverse health outcomes from occupant-controllable indoor airborne contaminants in their homes. Data are needed to design residential interventions for reducing low-income children's pollutant exposure. Using customized air quality monitors, we continuously measured fine particle counts (0.5 to 2.5 microns) over a week in living areas of predominantly low-income households in San Diego, California, with at least one child (under age 14) and at least one cigarette smoker. We performed retrospective interviews on home characteristics, and particle source and ventilation activities occurring during the week of monitoring. We explored the relationship between weekly mean particle counts and interview responses using graphical visualization and multivariable linear regression (base sample n = 262; complete cases n = 193). We found associations of higher weekly mean particle counts with reports of indoor smoking of cigarettes or marijuana, as well as with frying food, using candles or incense, and house cleaning. Lower particle levels were associated with larger homes. We did not observe an association between lower mean particle counts and reports of opening windows, using kitchen exhaust fans, or other ventilation activities. Our findings about sources of fine airborne particles and their mitigation can inform future studies that investigate more effective feedback on residential indoor-air-quality and better strategies for reducing occupant exposures.
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Poluição do Ar em Ambientes Fechados/análise , Monitoramento Ambiental , Material Particulado/análise , Adolescente , Adulto , Comportamento , Criança , Pré-Escolar , Exercício Físico , Feminino , Humanos , Renda , Lactente , Recém-Nascido , Entrevistas como Assunto , Modelos Lineares , Masculino , Pessoa de Meia-Idade , Estudos Retrospectivos , Fumar , Adulto JovemRESUMO
OBJECTIVE: To test the reliability and validity of scales on nutrition knowledge, social-psychological factors, and use of food labels developed from the 1995 Diet and Health Knowledge Survey (DHKS) questions. DESIGN: The 1995 DHKS questions within a section were pooled together as a scale and their reliability and validity were examined. PARTICIPANTS: US adults (> or =20 years) in the 1995 DHKS who responded to questions selected for this study (n = 1196). VARIABLES: Nutrition knowledge about the diet-disease relationship and nutrient content of products, perceived barriers and benefits of food labels, perceived ease of understanding food labels, food label use, and importance of healthful eating. ANALYSIS: Scales validity, Cronbach alpha, item total correlation, alpha if the item was deleted, and discriminant, convergence, and correspondence validity. RESULTS: Scales on perceived ease of understanding the food label, benefits of using food labels, food label use, and importance of healthful eating were reliable (Cronbach alpha =.78,.82,.91, and.82, respectively) and valid. CONCLUSION AND IMPLICATIONS: Accurate findings and interpretation of survey data depend on the use of reliable and valid instruments. This study identified the scales in the DHKS that can substantiate the conclusion on which effective nutrition education strategies should be established.