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Communication Cues and Engagement Behavior: Identifying Advertisement Strategies to Attract Middle-Aged Adults to a Study of the Chronic Disease Self-Management Program

Supporting Files
File Language:
English


Details

  • Journal Article:
    Preventing Chronic Disease (PCD)
  • Personal Author:
  • Description:
    Introduction ; Low- and middle-income, middle-aged adults have high rates of disease and death from chronic disease, yet their participation in self-management programs is low. This may be because advertisements for such programs often target elderly, predominantly white, affluent adults. Our study used data from a parent randomized controlled trial to identify theoretically driven advertisement cues to engage low- and middle-income, middle-aged adults in the Chronic Disease Self-Management Program (CDSMP). ; Methods ; A framework that combined the Elaboration Likelihood Model and Protection Motivation Theory was used to guide χ2 and regression analyses to assess relationships between advertisement cue preferences and 5 stages of cognitive engagement (cue processing, cognitive appraisal of the advertised study, motivation to enroll) and behavioral engagement of study participants (enrollment and program participation). ; Results ; One advertisement cue (taking control of one’s future) and 1 cue combination (financial security and taking control of one’s future) were significantly associated with study enrollment, as were motivation to enroll and cue processing. ; Conclusion ; These results can inform CDSMP recruitment efforts to better engage low- and middle-income, middle-aged adults in an effort to mitigate the disproportionate burden of chronic disease in this population.
  • Subjects:
  • Source:
    Prev Chronic Dis. 2020; 17
  • ISSN:
    1545-1151
  • Pubmed ID:
    32584754
  • Pubmed Central ID:
    PMC7316415
  • Document Type:
  • Funding:
  • Volume:
    17
  • Download URL:
  • File Type:
    Filetype[PDF - 632.19 KB]
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:ccb0433f5484ae604a95e28b114faf4280cbfdab1023b3ef8aa346c924db5223e13d817b7f8a4661c5da5699d1c00023b88895163ae43de8fd184cf6273d2c78
File Language:
English
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