ArticleInternational journal of biometeorology2012
Influence of weather conditions on hiking behavior.
Article in International journal of biometeorology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 15 citations in OpenAlex.
- Analysis of Geographic and Environmental Factors and Their Association with Cutaneous Melanoma Incidence in Canada.Dermatology (Basel, Switzerland) · 2022Article
- Effects of weather factors on recreation participation in a humid subtropical region.International journal of biometeorology · 2019Article
- The impact of temperature and precipitation on blacklegged tick activity and Lyme disease incidence in endemic and emerging regions.Parasites & vectors · 2016Article
- Never plan a population based cohort study on a rainy Friday after a sunny Thursday.European journal of epidemiology · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study determines the major weather factors affecting hiking activity and builds a prediction model to estimate participation. An empirical assessment of hiking participation using weather factors was demonstrated for trails on Kuanyin Mountain, Taiwan. By adapting the concepts of the range of tolerance and the eclectic model, a nonlinear function was used to explain hiking participation with weather factors. Stepwise multiple-regression analysis was carried out to determine the major weather factors affecting hiking participation. The results indicate that not only did participation vary with the season but hiking behavior was affected by different weather factors in each season. The explanation rates for the seasons exceeded 90% except that for spring.
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Registered trials
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.