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Accepted for/Published in: JMIR Formative Research

Date Submitted: Oct 11, 2025
Date Accepted: Apr 10, 2026

The final, peer-reviewed published version of this preprint can be found here:

Decoding Anti–Substance Use Public Service Announcements: Content Analysis Grounded in the Elaboration Likelihood Model and Extended Parallel Process Model

Liu J, Niu Z

Decoding Anti–Substance Use Public Service Announcements: Content Analysis Grounded in the Elaboration Likelihood Model and Extended Parallel Process Model

JMIR Form Res 2026;10:e85703

DOI: 10.2196/85703

PMID: 42133889

Decoding Anti-Substance Public Service Announcements in China: A Content Analysis Grounded in the Elaboration Likelihood Model and Extended Parallel Process Model

  • Jiawei Liu; 
  • Zhaomeng Niu

ABSTRACT

Background:

Tobacco, alcohol, and illicit drug use continue to pose substantial public health challenges in China. Although public service announcements (PSAs) are widely used for prevention, little is known about how these messages are constructed or the extent to which they draw on established health communication theories.

Objective:

This exploratory study aimed to characterize the design features of anti-substance use PSAs in China, assess their use of constructs from the Extended Parallel Process Model (EPPM) and the Elaboration Likelihood Model (ELM), and compare patterns across anti-substance PSAs.

Methods:

We conducted a content analysis of 89 publicly available anti-substance use PSAs produced in mainland China. Messages were identified via major Chinese video platforms and institutional websites, then screened using predefined eligibility criteria. Variables captured message source, intended audience, framing, substance depiction, cultural appeals, and EPPM and ELM components. Frequencies and proportions were calculated, and chi-square tests were used to examine differences by PSA type. To account for multiple comparisons, p values were adjusted using the Holm-Bonferroni correction.

Results:

Most PSAs did not identify a target audience (n = 54, 60.7%), and public security departments were the most common sponsors (n = 37, 41.2%), while none were sponsored by public health agencies. Theory use was selective: response efficacy (n = 63, 70.8%) and perceived severity (n = 55, 61.8%) appeared more often than self-efficacy (n = 45, 50.6%) and perceived susceptibility (n = 34, 38.2%); peripheral cues (n = 79, 88.8%) were more common than central route cues (n = 16, 18.0%). Differences across PSA types were observed in sponsorship, message features, and theoretical constructs. After adjustment for multiple comparisons, associations involving sponsoring organizations (public security departments and Chinese media) and perceived susceptibility remained statistically significant (all adjusted p = .015). Anti-drug PSAs were predominantly associated with public security sponsorship, whereas anti-alcohol and anti-tobacco PSAs were more frequently linked to Chinese media sources. Perceived susceptibility cues were more common in anti-smoking PSAs than in anti-drug PSAs, while other differences in framing, substance cues, cultural appeals, and ELM/EPPM constructs were not statistically significant after adjustment.

Conclusions:

Anti-substance use PSAs in China were characterized by limited audience segmentation and uneven use of theory-based persuasive strategies. Observed differences across alcohol-, tobacco-, and drug-focused messages suggest that PSA design may be shaped not only by partial application of communication theory, but also by institutional influences and substance-specific contexts. These findings highlight the need for more context-sensitive and theory-informed approaches to anti-substance use PSA design in China.


 Citation

Please cite as:

Liu J, Niu Z

Decoding Anti–Substance Use Public Service Announcements: Content Analysis Grounded in the Elaboration Likelihood Model and Extended Parallel Process Model

JMIR Form Res 2026;10:e85703

DOI: 10.2196/85703

PMID: 42133889

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