Evidence map›Paper›PMID 41868552›Full record

ArticleJSAMS plus2023

Skier and snowboarder speeds at US ski areas.

Lenka L Stepan, Irving S Scher, Gerhard Ruedl, Jasper E Shealy

Abstract read
In one paragraph

Article in JSAMS plus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Lenka L StepanGuidance Engineering and Applied Research, 205 NE Northlake Way, Suite 100, Seattle, WA 98105, USA.
Irving S ScherGuidance Engineering and Applied Research, 205 NE Northlake Way, Suite 100, Seattle, WA 98105, USA.
Gerhard RuedlUniversity of Innsbruck, Department of Sport Science, Fürstenweg 185, 6020 Innsbruck, Austria.
Jasper E ShealyGuidance Engineering and Applied Research, 205 NE Northlake Way, Suite 100, Seattle, WA 98105, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To determine typical speeds of skiers and snowboarders on-piste groomed trails across the United States (US). Design and methods: On-slope speeds of skiers and snowboarders were measured on trails of varying difficulty at 8 ski areas across the US. The trail difficulty designation and slope were documented for each location where speed measurements were taken. The equipment used (skis or snowboard), whether a helmet was worn, and the estimated ability (determined by the researchers) of snowsports participants were recorded. A multiple linear regression analysis was performed to determine the influence of these individual and environmental factors on the speeds of snowsports participants. Results: 4164 speed observations were made between 2004 and 2020 on groomed trails at 8 ski areas representing 5 geographic regions in the United States. Across all observations, the average speed was 34.9 ​± ​13.6 ​km/h. The ability of the snowsports participant had the largest effect on speed. Advanced snowsports participants traveled faster (44.5 ​± ​11.7 ​km/h) than intermediates (32.4 ​± ​9.9) and beginners (19.9 ​± ​7.2). Skiers on average were faster (35.8 ​± ​13.8 ​km/h) than snowboarders (33.0 ​± ​13.2 ​km/h) and beginner and intermediate snowboarders were slower on average than their skiing counterparts. While the average speeds increased with increasing trail difficulty and slope, the correlation was weak (R Conclusions: The ability of the snowsports participant was found to be the most influential factor affecting speed.

Indexed as

AbilityHelmetSkiSnowboardSnowsportsSpeed

Identifiers

PMID41868552
PMCPMC12980607

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.