The effects of modal value and imperative mood on self-predicted compliance to health guidance: the case of COVID-19

Health messaging is effective if it achieves audience adherence to guidance. Through the lens of Systemic Functional Linguistics, we examine the expression of obligation in poster-based health campaigns (4 posters) employed during the COVID-19 pandemic in the UK by considering whether differences in grammatical mood and modality values impact on public compliance toward the message content. Effects of mood and modality variations are examined through a quantitative-cum-qualitative analysis of results from a representative survey (<em>N</em> = 1,089), which included closed questions on self-predicted compliance to health guidance and open questions on the respondents’ understanding of messaging. The quantitative results favour medium values of obligation (“should” vis-à-vis “must”) and directives in declarative mood for self-efficacy messages, and expressions of certainty when the need to take action to prevent negative outcomes is conveyed. The qualitative results show that, communication context and linguistic features being equal, message types (i.e., self-efficacy, moralising, fear appeals) and visual cues prevail in conditioning public reception. Moreover, since directives employing modality allow for speakers’ inclusion among the targeted addressees, they appear to offer more favourable outcomes than those in the imperative mood. This study provides empirical insights into the effects of modality and mood on health guidance compliance.

Publication Details

Journal
Figshare
Published
2025-02-20
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

The effects of modal value and imperative mood on self-predicted compliance to health guidance: the case of COVID-19

Figshare
Behavioral Health and Interventions
article

The effects of modal value and imperative mood on self-predicted compliance to health guidance: the case of COVID-19

article en

Abstract

Health messaging is effective if it achieves audience adherence to guidance. Through the lens of Systemic Functional Linguistics, we examine the expression of obligation in poster-based health campaigns (4 posters) employed during the COVID-19 pandemic in the UK by considering whether differences in grammatical mood and modality values impact on public compliance toward the message content. Effects of mood and modality variations are examined through a quantitative-cum-qualitative analysis of results from a representative survey (<em>N</em> = 1,089), which included closed questions on self-predicted compliance to health guidance and open questions on the respondents’ understanding of messaging. The quantitative results favour medium values of obligation (“should” vis-à-vis “must”) and directives in declarative mood for self-efficacy messages, and expressions of certainty when the need to take action to prevent negative outcomes is conveyed. The qualitative results show that, communication context and linguistic features being equal, message types (i.e., self-efficacy, moralising, fear appeals) and visual cues prevail in conditioning public reception. Moreover, since directives employing modality allow for speakers’ inclusion among the targeted addressees, they appear to offer more favourable outcomes than those in the imperative mood. This study provides empirical insights into the effects of modality and mood on health guidance compliance.

Figshare
Reduced inequalities
Openalex Percentile: Top 44%
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.