Evidence map›Paper›PMID 41501890›Full record

ArticleBMC psychology2026

Exploring the impact of message framing and physical activity levels on the effectiveness of health communication and its underlying cognitive processes.

Jinyang Guo, Zhangyan Deng, Xianyong Jiang, Kun Wang, Zuosong Chen

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Article in BMC psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jinyang GuoDepartment of Physical Education, Shanghai Jiao Tong University, Shanghai, China.
Zhangyan DengDepartment of Physical Education, Shanghai Jiao Tong University, Shanghai, China.
Xianyong JiangDepartment of Physical Education, Shanghai Jiao Tong University, Shanghai, China.
Kun WangDepartment of Physical Education, Shanghai Jiao Tong University, Shanghai, China.
Zuosong ChenSchool of Kinesiology and Health, Capital University of Physical Education and Sports, Beijing, China. zschen1971@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMessage framing and individual characteristics are important factors influencing the effectiveness of health communication about physical activity promotion plans. However, the relationship has not been largely unexplored. The purpose of this study was to examine differences in health communication effectiveness and its neural activity in individuals with different levels of physical activity under gain- and loss-framed using fNIRS and a computerized laboratory task test.

methodsThe study design was a crossover design. Twenty-four people with low level of physical activity (mean age 18.42 ± 1.47 years, 13 males) and twenty-three people with high level of physical activity participated (mean age 22.22 ± 2.86 years, 11 males) in health communication under two experimental conditions: gain- and loss-framed messages. The Persuasive impacts of framed messages were measured by knowledge, attitude, and intention to engage in physical activity after participating in the health communication. fNIRS was used to measure activation in the prefrontal cortex. Analyses focused on both the mPFC and dlPFC regions, examining differences in HbO levels as a function of message framing and physical activity. To this end, a multifactor repeated measures analysis of variance (ANOVA) was employed.

resultsParticipants’ knowledge[F(1, 45) = 53.40, p < 0.001, η2 p = 0.543], attitude[F(1, 45) = 12.98, p < 0.001, η2 p = 0.224], and intention[F(1, 45) = 5.20, p = 0.027, η2 p = 0.104] increased more significantly after exposure to the loss-framed message compared to the gain-framed message. Additionally, there was a significant interaction between the two groups[F(1, 45) = 8.53, p = 0.005, η2 p = 0.159]. The fNIRS results indicated that physical activity messages elicited significant positive activation (p < 0.06) in the medial prefrontal cortex (mPFC) and dorsolateral prefrontal cortex (dlPFC). There was a significant relationship (CH36: r = 0.395, p = 0.006) between the effectiveness of message framing and activation of the right dlPFC.

conclusionsHealth communication in loss-framed messages is more effective than gain-framed, especially for individuals with low level of physical activity. The prefrontal cortex (mPFC and dlPFC) is involved in the cognitive function of health communication. The right dlPFC is the area of loss-framed messages and may be able to predict the effectiveness of health communication.

Indexed as

CognitionExerciseHealth CommunicationHealth Knowledge, Attitudes, PracticeHealth PromotionPersuasive CommunicationAdolescentAdultCross-Over StudiesFemaleHumansIntentionMaleMedia ExposureMotor ActivityPrefrontal CortexEffectivenessfNIRSGain- and loss-framedHealth communicationMessage framing

Identifiers

PMID41501890
PMCPMC12870813

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.