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Factors Predicting Compliance to Ecological Momentary Assessment among Adolescent Smokers

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posted on 24.10.2013 by Alexander W. Sokolovsky
Introduction Ecological momentary assessments (EMA) are increasingly used in smoking research to understand contextual and individual differences related to smoking and changes in smoking. To date, there has been little detailed research into the predictors of EMA compliance. However, patterns or predictors of compliance may affect key relationships under investigation and introduce sources of bias in results. The purpose of this study was to investigate predictors of compliance to random prompts among a sample of adolescents who had ever smoked. Methods Data for this study were drawn from a sample of 461 adolescents (9th and 10th graders at baseline) participating in a longitudinal study of smoking escalation. We examined two outcomes: subject-level EMA compliance (overall rate of compliance over a week-long EMA wave) and in-the-moment prompt-level compliance to the most proximal random prompt. We investigated several covariates including: gender, race, smoking rate, alcohol use, psychological symptomatology, home composition, mood, social context, time in study, inter-prompt interval and location. Results At the overall subject level, higher mean negative affect, smoking rate, alcohol use, and male gender predicted lower compliance with random EMA prompts. At the prompt level, after controlling for significant subject level predictors of compliance, increased positive affect, being outside of the home, and longer inter-prompt interval predicted lower momentary compliance. Conclusions This paper identifies several factors associated with overall and momentary EMA compliance among a sample of adolescents participating in a longitudinal study of smoking. We propose a conceptual framework for investigating contextual and momentary predictors of compliance within EMA studies.



Mermelstein, Robin J.



Degree Grantor

University of Illinois at Chicago

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Committee Member

Kassel, Jon Hedeker, Donald

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