Evidence map›Paper›PMID 36891206›Full record

ArticleFrontiers in psychology2023

Profile identification and characterization of risk perceptions and preventive behaviors during the COVID-19 pandemic: A latent profile analysis.

Yi Xuan Ong, Hye Kyung Kim, Benjamin O Pelzer, Ying Ying Tan, Wee Ping Lim, Annabelle Kai Lin Chua, Bei Yi Koh

Abstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yi Xuan OngWee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.
Hye Kyung KimWee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.
Benjamin O PelzerWee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.
Ying Ying TanDSO National Laboratories, Singapore, Singapore.
Wee Ping LimDSO National Laboratories, Singapore, Singapore.
Annabelle Kai Lin ChuaDSO National Laboratories, Singapore, Singapore.
Bei Yi KohDSO National Laboratories, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a public health crisis, communication plays a vital role in making sure policies and recommendations from the government level get disseminated accurately to its people and is only considered as effective when the public accepts, supports, complies to, and engages in policies or behaves as per governments' recommendations. Adopting the multivariate audience segmentation strategy for health communication, this study uses a data-driven analytical method to (1) identify audience segments of public health crisis communication in Singapore based on knowledge, risk perception, emotional responses, and preventive behaviors; and (2) characterize each audience segment according to demographic factors, personality traits, information processing styles, and health information preferences. Results (

Indexed as

audience segmentationbig five personality traitshealth information preferencespandemic communicationrisk perception

Identifiers

PMID36891206
PMCPMC9986486

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.