Journal article
Carlos Mena, Eduardo Fuentes, Yony Ormazábal, Gonzalo Palomo-Vélez, Iván Palomo
Sport Sciences for Health, vol. 12(1), 2016 Apr, pp. 55-61
Sport Sciences for Health, vol. 12(1), 2016 Apr, pp. 55-61
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APA
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Mena, C., Fuentes, E., Ormazábal, Y., Palomo-Vélez, G., & Palomo, I. (2016). Effect of straight-line and road network distances to parks and markets on anthropometric measurements, biochemical markers, and a healthy lifestyle in adult people. Sport Sciences for Health, 12(1), 55–61. https://doi.org/10.1007/s11332-015-0253-x
Chicago/Turabian
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Mena, Carlos, Eduardo Fuentes, Yony Ormazábal, Gonzalo Palomo-Vélez, and Iván Palomo. “Effect of Straight-Line and Road Network Distances to Parks and Markets on Anthropometric Measurements, Biochemical Markers, and a Healthy Lifestyle in Adult People.” Sport Sciences for Health 12, no. 1 (April 2016): 55–61.
MLA
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Mena, Carlos, et al. “Effect of Straight-Line and Road Network Distances to Parks and Markets on Anthropometric Measurements, Biochemical Markers, and a Healthy Lifestyle in Adult People.” Sport Sciences for Health, vol. 12, no. 1, Apr. 2016, pp. 55–61, doi:10.1007/s11332-015-0253-x.
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@article{mena2016a,
title = {Effect of straight-line and road network distances to parks and markets on anthropometric measurements, biochemical markers, and a healthy lifestyle in adult people},
year = {2016},
month = apr,
issue = {1},
journal = {Sport Sciences for Health},
pages = {55-61},
volume = {12},
doi = {10.1007/s11332-015-0253-x},
author = {Mena, Carlos and Fuentes, Eduardo and Ormazábal, Yony and Palomo-Vélez, Gonzalo and Palomo, Iván},
month_numeric = {4}
}
Background
The purpose of this study was to examine the effect of the straight-line and road network distances to parks and markets on anthropometric measurements, biochemical markers, and a healthy lifestyle in adult people.
Methods
We studied 832 subjects aged 18–74 years selected by a probability sampling. Geographic information systems were used to calculate access distance (straight-line and road network distances) from the participant’s homes to the nearest public place for physical activity and commercial center.
Results
After adjusting the population by age and gender, a significant and negative relation was found between glycemia and both straight-line and road network distances to markets in both males and females. Moreover, males aged 35–54 had a significant and positive relation between triglycerides and distance to parks. In addition, a negative correlation was observed only in females between sport frequency and road network distances to markets.
Conclusion
In this article, we have observed a similar correlation between the biochemical marker (glycemia) and both straight-line and road network distances to markets. Also, it raises the need to analyze other possible factors that could influence the relationship between the built environment and health.
The purpose of this study was to examine the effect of the straight-line and road network distances to parks and markets on anthropometric measurements, biochemical markers, and a healthy lifestyle in adult people.
Methods
We studied 832 subjects aged 18–74 years selected by a probability sampling. Geographic information systems were used to calculate access distance (straight-line and road network distances) from the participant’s homes to the nearest public place for physical activity and commercial center.
Results
After adjusting the population by age and gender, a significant and negative relation was found between glycemia and both straight-line and road network distances to markets in both males and females. Moreover, males aged 35–54 had a significant and positive relation between triglycerides and distance to parks. In addition, a negative correlation was observed only in females between sport frequency and road network distances to markets.
Conclusion
In this article, we have observed a similar correlation between the biochemical marker (glycemia) and both straight-line and road network distances to markets. Also, it raises the need to analyze other possible factors that could influence the relationship between the built environment and health.
