The Natural Environmental Factors Influencing the Spatial Distribution of Marathon Event: A Case Study from China

Ren, Zhanbing; Zuo, Yang; Ma, Yudan; Zhang, Mu; Smith, Lee; Yang, Lin; Loprinzi, Paul D.; Qian, Yu; Zou, Liye

doi:10.3390/ijerph17072238

Cited by 15 publications

(13 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Especially for Gentiana straminea Maxim, the contribution of mean temperature of the warmest quarter was the highest compared with other variables, reaching 44.6%. This result was consistent with its location in the westernmost part of China among the 4 species, where the temperature was lower due to the high altitude [34]. In addition, the mean temperature of the mean temperature of the warmest quarter (Bio10) contributed the most to Gentiana macrophylla Pall (24.8%).…”

Section: Discussionsupporting

confidence: 85%

Predicting the current and future distribution of four original plants of Gentianae Macrophyllae Radix in China under climate change scenarios

Cao

Liu

et al. 2021

Preprint

View full text Add to dashboard Cite

The wild resources of the four original plants (Gentiana crasicaulis Duthie ex Burk, Gentiana daurica Fisch, Gentiana straminea Maxim, and Gentiana macrophylla Pall) of Gentianae Macrophyllae Radix are becoming exhausted. Predicting the distribution under current and future climate scenarios is of significance for the sustainable utilization of resources and ecological protection. In this study, we constructed four species distribution models (SDMs) combining species distribution informations, 19 bioclimatic variables, and the maximum entropy (MaxEnt) model. The results showed that these 4 plants prefer a cool and humid climate. Under the future climate scenarios, the areas of the highly suitable habitats for Gentiana crasicaulis Duthie ex Burk and Gentiana daurica Fisch were likely to decrease, while Gentiana straminea Maxim was likely to expand, and Gentiana macrophylla Pall was less affected. In addition, the centroids of the highly suitable habitats for the four species shifted north or west. Most notably, most of the highly suitable habitats for the four species remained unchanged, which would be the preferred area for semi-artificial cultivation. The above information in this study would contribute to the development of reasonable strategies to reduce the impact of climate change on the four original plants.

show abstract

Section: Discussionsupporting

confidence: 85%

Predicting the current and future distribution of four original plants of Gentianae Macrophyllae Radix in China under climate change scenarios

Cao

Liu

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Some studies have focused on understanding the role of social and built environmental characteristics, such as street safety, neighborhood socio-economic status, access to sports facilities, urban density and design, and an attractive environment, and their relationship with sports participation [ 58 , 59 , 60 ]. However, the present results revealed that only the existence of athletic events in the state showed a significant relationship with running performance, in that runners living in these states showed a faster pace (about 9 s/km faster).…”

Section: Discussionmentioning

confidence: 99%

Running Performance Variability among Runners from Different Brazilian States: A Multilevel Approach

Thuany

Gomes

Hill

et al. 2021

IJERPH

View full text Add to dashboard Cite

The ecological model theory highlights that human development (or a given behavior) is the result of the interaction of variables derived from different levels, comprising those directly related to the subjects and those related to the environment. Given that, the purpose of this study is to establish whether runners’ performance may vary among different Brazilian states, as the factors associated with this difference. The sample comprised 1151 Brazilian runners (61.8% men) that completed an online questionnaire, providing information about biological (sex, age, height, and weight), training (running pace, frequency and volume/week, and motivation), sociodemographic (place of residence and wage) aspects, and perceptions about the environmental influences on the practice. Information about state variables was obtained from official institutes, and comprised the human development index (HDI), athletics events, and violence index. Multilevel analysis was conducted in HLM software. State-level characteristics explained ≈3% of the total variance in running performance. Of the total variance explained for the individual level, 56.4% was associated with male sex (β = −54.98; p < 0.001), age (β = 1.09; p < 0.001), body mass index (β = 6.86; p < 0.001), economic status (β = 6.23; p = 0.003), the perception of the natural environment (β = 7.58; p = 0.02), training frequency (β = −16.64; p < 0.001), and weekly volume (β = −0.30; p < 0.001). At the state level, only athletics events presented a positive and significant influence on performance. There is a significant role of the environment on the explanation of running performance variability, and given the diversity across states, environmental variables should not be neglected, as they are relevant to the exploration of other variables possibly related to running performance.

show abstract

“…This study is based on the previous health risk of marathon runners 3 and the experience of several interviews with amateur marathon runners, combined with the current international COVID-19 pandemic situation 4041 and air quality problems. 42 We identified three main risks of health: (a) Exercise diseases, such as knee joint injury and muscle strain; 5 (b) Respiratory diseases, such as new coronary pneumonia and respiratory disorders (caused by smog); 43,44 and (c) Blood circulatory diseases, such as arrhythmia, myocardial fibrosis, and sudden cardiac death. 45 According to previous research, 28 the measurement of perceived susceptibility and severity in the health risk preventative behavior questionnaires resulted in the determination of the measurement items of the amateur marathon runner's perceived health threat.…”

mentioning

confidence: 99%

Prediction of Health Risk Preventative Behavior of Amateur Marathon Runners: A Cross-Sectional Study

Zuo¹,

Zhang²,

Si³

et al. 2021

RMHP

Self Cite

View full text Add to dashboard Cite

Introduction: Prevention of the health risk of amateur marathon runners is of great significance for the sustainable development of marathon. To reduce the psychological burden of amateur marathon runners and improve the participation experience, the current study used the health belief model to study the relationship among health beliefs, attitude to preventative behavior, self-efficacy, and health values of amateur marathon runners. Methods: A total of 342 data were collected, and using the PROCESS (analytical procedures developed for mediating and moderating effects tests based on SPSS and SAS). A series of multiple linear regression models were established to study the relationship between variables, and the bootstrap confidence interval was selected to test the mediating and moderating effect. Results: The results showed that perceived health threat (b = 0.463, p <0.05), health behavior expectations (b = 0.373, p <0.001), self-efficacy (b = 0.322, p <0.001), and behavioral attitudes (b = 0.230, p <0.001) can be regarded as antecedent variables for predicting preventative behaviors. In addition, the results also show that health behavior expectations, self-efficacy, and behavioral attitudes play chain-mediating role between perceived health threat and preventative behaviors. Health values appear to play a moderating role in the direct/indirect effects of perceived health threat on preventive behavior through a number of mediating variables. Discussion: This study emphasizes that the amateur marathon runners must improve their health concept and take effective preventive measures before participating in the competition. According to this research, it is the responsibility of the event parties, public health officials and relevant departments of the host city to provide rich health information and risk education to amateur marathon runners. More public service advertisements or educational materials are needed to be placed on runners to enhance their awareness of the necessity and importance of taking preventive measures.

show abstract

The Natural Environmental Factors Influencing the Spatial Distribution of Marathon Event: A Case Study from China

Cited by 15 publications

References 40 publications

Predicting the current and future distribution of four original plants of Gentianae Macrophyllae Radix in China under climate change scenarios

Predicting the current and future distribution of four original plants of Gentianae Macrophyllae Radix in China under climate change scenarios

Running Performance Variability among Runners from Different Brazilian States: A Multilevel Approach

Prediction of Health Risk Preventative Behavior of Amateur Marathon Runners: A Cross-Sectional Study

Contact Info

Product

Resources

About