Assessing reinforcing versus aversive consequences in a real-Time secondhand smoke intervention

Few studies have examined the relative effectiveness of reinforcing versus aversive consequences at changing behavior in real-world environments. Real-Time sensing devices makes it easier to investigate such questions, offering the potential to improve both intervention outcomes and theory. This res...

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Bibliographic Details
Main Authors: Adams, M.A (Author), Bellettiere, J. (Author), Berardi, V. (Author), Hovell, M. (Author), Hughes, S.C (Author), Klepeis, N.E (Author), Nguyen, B. (Author)
Format: Article
Language:English
Published: Oxford University Press 2021
Subjects:
Online Access:View Fulltext in Publisher
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008 220427s2021 CNT 000 0 und d
020 |a 18696716 (ISSN) 
245 1 0 |a Assessing reinforcing versus aversive consequences in a real-Time secondhand smoke intervention 
260 0 |b Oxford University Press  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1093/tbm/ibab004 
520 3 |a Few studies have examined the relative effectiveness of reinforcing versus aversive consequences at changing behavior in real-world environments. Real-Time sensing devices makes it easier to investigate such questions, offering the potential to improve both intervention outcomes and theory. This research aims to describe the development of a real-Time, operant theory-based secondhand smoke (SHS) intervention and compare the efficacy of aversive versus aversive plus reinforcement contingency systems. Indoor air particle monitors were placed in the households of 253 smokers for approximately three months. Participants were assigned to a measurement-only control group (N = 129) or one of the following groups: 1.) aversive only (AO, N = 71), with aversive audio/visual consequences triggered by the detection of elevated air particle measurements, or 2.) aversive plus reinforcement (AP, N = 53), with reinforcing consequences contingent on the absence of SHS added to the AO intervention. Residualized change ANCOVA analysis compared particle concentrations over time and across groups. Post-hoc pairwise comparisons were also performed. After controlling for Baseline, Post-Baseline daily particle counts (F = 6.42, p = 0.002), % of time >15,000 counts (F = 7.72, p < 0.001), and daily particle events (F = 4.04, p = 0.02) significantly differed by study group. Nearly all control versus AO/AP pair-wise comparisons were statistically significant. No significant differences were found for AO versus AP groups. The aversive feedback system reduced SHS, but adding reinforcing consequences did not further improve outcomes. The complexity of real-world environments requires the nuances of these two contingency systems continue to be explored, with this study demonstrating that real-Time sensing technology can serve as a platform for such research. © 2021 Society of Behavioral Medicine 2021. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 
650 0 4 |a adult 
650 0 4 |a affect 
650 0 4 |a Affect 
650 0 4 |a Air Pollution, Indoor 
650 0 4 |a ambient air 
650 0 4 |a analysis of covariance 
650 0 4 |a article 
650 0 4 |a comparative effectiveness 
650 0 4 |a Contingency management 
650 0 4 |a Family Characteristics 
650 0 4 |a family size 
650 0 4 |a feedback system 
650 0 4 |a household 
650 0 4 |a human 
650 0 4 |a Humans 
650 0 4 |a indoor air pollution 
650 0 4 |a JITAI 
650 0 4 |a major clinical study 
650 0 4 |a Operant theory 
650 0 4 |a passive smoking 
650 0 4 |a Real-Time data 
650 0 4 |a reinforcement (psychology) 
650 0 4 |a Secondhand smoke 
650 0 4 |a Smokers 
650 0 4 |a smoking 
650 0 4 |a Tobacco Smoke Pollution 
700 1 |a Adams, M.A.  |e author 
700 1 |a Bellettiere, J.  |e author 
700 1 |a Berardi, V.  |e author 
700 1 |a Hovell, M.  |e author 
700 1 |a Hughes, S.C.  |e author 
700 1 |a Klepeis, N.E.  |e author 
700 1 |a Nguyen, B.  |e author 
773 |t Translational Behavioral Medicine