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Related Experiment Video

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Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
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Using a Marginal Structural Model to Design a Theory-Based Mass Media Campaign.

Hiromu Nishiuchi1, Masataka Taguri2, Yoshiki Ishikawa3

  • 1Policy Alternatives Research Institute, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.

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Identifying key beliefs is crucial for health campaigns. A new method found that social support from a husband or partner could significantly increase young Japanese women's intention to quit smoking.

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Area of Science:

  • Public Health
  • Health Communication
  • Behavioral Science

Background:

  • Effective mass media health campaigns require identifying target audience beliefs.
  • Prioritizing beliefs derived from behavioral theory presents a significant challenge.
  • A novel method was developed to estimate the potential effect size of specific beliefs.

Purpose of the Study:

  • To identify suitable beliefs for a mass media campaign aimed at behavior change.
  • To estimate the potential impact of targeting specific beliefs on smoking cessation intention.
  • To utilize a new method for prioritizing beliefs based on their potential effect size.

Main Methods:

  • Data from the 2010 Japanese Young Female Smoker Survey (n=500) were analyzed.
  • The theory of planned behavior constructs (attitude, norms, perceived control) and socioeconomic status were assessed.
  • A marginal structural model was used to estimate the population attributable fraction for beliefs influencing smoking cessation intention.

Main Results:

  • Thirteen percent of participants intended to quit smoking.
  • A belief related to spousal recommendation showed a substantial population attributable fraction (0.12), suggesting a potential 12% increase in quit intention.
  • The analysis identified 47 psychological beliefs as potential targets, controlling for socioeconomic factors.

Conclusions:

  • A new method enables campaign planners to develop theory-based mass communication strategies.
  • This approach can enhance the quality of future population-level health behavior change campaigns.
  • Further research is recommended to refine and apply this methodology.