Thuany Mabliny, Bandeira Paulo Felipe Ribeiro, Vieira Douglas, Weiss Katja, Knechtle Beat, Gomes Thayse Natacha
Centre of Research, Education, Innovation and Intervention in Sport (CIFI2D), Faculty of Sport, University of Porto, Porto, Portugal.
Department of Physical Education, Regional University of Cariri, Crato, Ceará, Brazil.
Front Psychol. 2023 Sep 22;14:1134797. doi: 10.3389/fpsyg.2023.1134797. eCollection 2023.
Our purpose was to investigate the interplay between runners and their environment using a network approach.
This cross-sectional study sampled Brazilian runners of both sexes, from the five macro-regions of the country. An electronic questionnaire was used to obtain information regarding age, sex, training volume, socio-economic level, place of residence, and running pace. Environmental indicators (public illumination, pavement, sidewalk, and green areas) were collected from available public information. Descriptive statistics were presented in mean (SD), and frequency (%). A network analysis was performed to evaluate the association between individual and environmental characteristics. Statistical analyses were performed in the JASP, considering < 0.05.
At North and Mid-West regions, public illumination presents the highest values for the expected influence (1.74 and 1.56), while in Northeast and Southeast, sidewalks present the highest values (2.13; 0.91). For betweenness centrality, in North, Northeast, and Mid-West regions, residency in the capital of a state presented a hub. In contrast, pavement, and training volume present higher values in the South and Southeast. Network topologies are different.
Public illumination (North and Mid-West) and sidewalk (Northeast, Southeast) were the most important variables for runners. Continental size countries need specific approaches to improve physical activity levels and health outcomes that consider the cultural, historical, and environmental background.
我们的目的是使用网络方法研究跑步者与其环境之间的相互作用。
这项横断面研究对来自巴西五个宏观区域的男女跑步者进行了抽样。使用电子问卷获取有关年龄、性别、训练量、社会经济水平、居住地点和跑步速度的信息。环境指标（公共照明、人行道、步道和绿地）从可用的公共信息中收集。描述性统计以均值（标准差）和频率（%）表示。进行网络分析以评估个体特征与环境特征之间的关联。在JASP中进行统计分析，显著性水平设定为<0.05。
在北部和中西部地区，公共照明的预期影响值最高（分别为1.74和1.56），而在东北部和东南部，步道的预期影响值最高（分别为2.13和0.91）。对于中介中心性，在北部、东北部和中西部地区，居住在州首府是一个中心节点。相比之下，在南部和东南部，人行道和训练量的值更高。网络拓扑结构不同。
公共照明（北部和中西部）和人行道（东北部、东南部）是对跑步者最重要的变量。大陆面积较大的国家需要采用特定方法来提高身体活动水平和健康结果，同时要考虑文化、历史和环境背景。
