Evidence map›Paper›PMID 40840537›Full record

ArticleJMIR public health and surveillance2025

Social Media Use, Influencer Status, and Outdoor Risk-Taking in Australian Adults: Cross-Sectional Survey.

Samuel Cornell, Amy Peden

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2025. 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. Review
  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

2 authors.

Samuel CornellUNSW Beach Safety Research Group, University of New South Wales Sydney, Kensington, Sydney, NSW 2033, Australia, 61 (2) 9065 3863.ORCID 0000-0003-4944-7826
Amy PedenUNSW Beach Safety Research Group, University of New South Wales Sydney, Kensington, Sydney, NSW 2033, Australia, 61 (2) 9065 3863.ORCID 0000-0002-6424-1511

Funding

National Health and Medical Research Council (NHMRC) APP2009306
6 · The paper itself

Abstract

Background: There is growing awareness of the broader health-related harms of social media; yet, research on social media-related injury mortality and morbidity remains limited. Emerging evidence suggests links between excessive social media use and increased risks of self-harm, cyberbullying-related distress, and dangerous viral challenges, but there has been limited research on the link between time spent on social media and environmental risk-taking, such as risky selfies. However, comprehensive epidemiological studies and policy-driven interventions remain scarce, highlighting the need for further investigation into the public health implications of digital engagement. Objective: This research aimed to examine the relationship among self-reported time spent on social media, influencer status, and risk-taking behaviors among Australians, considering implications for injury prevention. Methods: A cross-sectional survey of Australian social media users (N=509) was conducted using stratified quotas to approximate national distributions by age, sex, and geographical location. Participants reported their average daily time spent on social media, whether they identified as a social media influencer, and whether they had ever engaged in risk-taking behavior to create social media content. Associations between categorical variables (eg, influencer status and risk-taking) were examined using Pearson chi-square tests and supplemented with odds ratios (ORs) and 95% CIs. Independent samples 2-tailed t tests were used to compare mean time spent on social media between risk-takers and non-risk-takers. Results: Among participants, 48 (9.4%) self-reported engaging in risk-taking behavior in the outdoors. Influencers were significantly more likely to report risk-taking (28/58, 48.3%) compared to noninfluencers (20/451, 4.4%; χ²1=110.57, P<.001). Risk-takers (n=48) also spent significantly more time on social media (mean=2.05, SD 1.04) compared to non-risk-takers (n=461; mean 1.37, SD 1.04; t57.22=4.31, P<.001). In multivariate analyses, influencers (OR 20.11), males (OR 2.00), and younger age groups (eg, OR 33.06 for 18-24 vs 55-64 years) had significantly higher odds of reporting risk-taking. Conclusions: Outdoor risk-taking for content creation is associated with influencer status and greater time spent on social media. These findings suggest that policy makers should prioritize regulations addressing risky social media behaviors and hold platforms accountable for promoting harmful content. Social media platforms should implement real-time alerts, pop-up warnings, and geolocated safety information to discourage risky behaviors. Public health practitioners should engage influencers to promote safer content norms and develop targeted injury prevention strategies.

Indexed as

Risk-TakingSocial MediaAdolescentAdultAgedAustraliaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultAustralialeisureoutdoorssafetyselfiessocial mediatourism

Identifiers

PMID40840537
PMCPMC12370294

What OpenQuestion holds

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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.