Assessing Reactance to Culturally Tailored Anti-Smoking Messages in Sexual and Gender Minority Young Adults

High smoking rates among sexual and gender minority (SGM) people call for anti-smoking campaigns for the population. Although cultural tailoring is an effective strategy, SGM-tailored health messages may lead to unintended effects such as psychological reactance. This study investigates whether different SGM gender groups experience reactance to tailored anti-smoking messages using different gender expressions. We conducted a between-subjects experiment in 1190 SGM young adults (18-30 years) with four conditions (transgender/nonbinary expression <i>versus</i> feminine expression <i>versus</i> masculine expression <i>versus</i> multiple gender expressions). We found that SGM-tailored messages elicited low levels of perceived threat to freedom, anger, negative thoughts, and counterarguing. In most cases, these outcomes were not different between conditions across gender groups. Our findings suggest that it is possible to design culturally tailored messages that elicit low reactance among SGM individuals regardless of gender identity. Additionally, using multiple gender expressions in cultural tailoring appears to be a promising approach to mitigating reactance.

Authors

Institutions

Publication Details

Journal
Journal of Health Communication
Published
2026-03-26
DOI
https://doi.org/10.1080/10810730.2026.2651093
Primary Topic
Behavioral Health and Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing Reactance to Culturally Tailored Anti-Smoking Messages in Sexual and Gender Minority Young Adults

J Obedin-Maliver, Sixiao Liu, Elaine Hanby, Bob Gordon et al.
Journal of Health Communication
Behavioral Health and Interventions
article

Assessing Reactance to Culturally Tailored Anti-Smoking Messages in Sexual and Gender Minority Young Adults

J Obedin-Maliver, Sixiao Liu, Elaine Hanby, Bob Gordon, Qijia Ye, Jiaxi Wu, Mitchell R. Lunn, Shoba Ramanadhan, Jennifer Potter, Andy S. L. Tan
article en

Abstract

High smoking rates among sexual and gender minority (SGM) people call for anti-smoking campaigns for the population. Although cultural tailoring is an effective strategy, SGM-tailored health messages may lead to unintended effects such as psychological reactance. This study investigates whether different SGM gender groups experience reactance to tailored anti-smoking messages using different gender expressions. We conducted a between-subjects experiment in 1190 SGM young adults (18-30 years) with four conditions (transgender/nonbinary expression <i>versus</i> feminine expression <i>versus</i> masculine expression <i>versus</i> multiple gender expressions). We found that SGM-tailored messages elicited low levels of perceived threat to freedom, anger, negative thoughts, and counterarguing. In most cases, these outcomes were not different between conditions across gender groups. Our findings suggest that it is possible to design culturally tailored messages that elicit low reactance among SGM individuals regardless of gender identity. Additionally, using multiple gender expressions in cultural tailoring appears to be a promising approach to mitigating reactance.

Journal of Health Communication
University of Central Florida (US), Harvard University (US), California University of Pennsylvania (US), Genesis Foundation (US), Community Partners (US), Fenway Health (US), University of Pennsylvania (US), Stanford University (US)
Gender equality
Openalex Percentile: Top 8%
Behavioral Health and Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.