Evidence map›Paper›PMID 39943897›Full record

ArticleJournal of cosmetic dermatology2025

Sun Protection Used by Cyclists in Southern Brazil.

Eduarda Mazurkievz de Freitas, Kátia Sheylla Malta Purim

Abstract read
In one paragraph

Article in Journal of cosmetic dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Eduarda Mazurkievz de FreitasUniversidade Positivo (UP), Curitiba, Brazil.ORCID https://orcid.org/0009-0009-4450-9988
Kátia Sheylla Malta PurimUniversidade Positivo (UP), Curitiba, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCycling is a practice that is increasing globally. However, there is a paucity of studies regarding sun protection usage among cyclists.

methodsThe present study uses a cross-sectional design. An online survey was conducted using the Google Forms platform, and a self-administered form was used to gather the participant's sociodemographic details, sporting practices, and sun protection usage habits. The full questionnaire file can be found as Supporting Information. Descriptive statistics were analyzed using Microsoft Excel, and the chi-square test of independence was performed to determine the association between the variables using a contingency table.

resultsThe study sample comprised 379 cyclists, predominantly men (69.7%), and most cyclists were observed to be using some type of cycling-related application (81.3%). Approximately 67.3% of the cyclists used sunscreen. The sunscreen was applied once a day (45.4%), and the usage of sunscreen was lower in men (58%) and those with higher phototypes (69.2%). Furthermore, using long-sleeved shirts and sunglasses while cycling was 49.3% and 75.5% of the participants, respectively. Among the participants who did not use sun protection, 35% cycled for over 7 h a week.

conclusionThe results indicate that cyclists must be encouraged to use sun protection, especially men and athletes with higher phototypes. Such use could be optimized in this population, associating the technologies related to the practice of cycling with health promotion.

Indexed as

BicyclingSunburnSunscreening AgentsAdolescentAdultBrazilCross-Sectional StudiesFemaleHumansMaleMiddle AgedProtective ClothingSunlightSurveys and QuestionnairesYoung AdultSunscreening Agentsenvironmental exposurephotoagingphotoprotectionskin cancersunburnsunscreens

Identifiers

PMID39943897
PMCPMC11822412

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.