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Relationship Between Air Quality and Outdoor Exercise Behavior in China: a Novel Mobile-Based Study
Purpose Based on data collected from an exercise app, the study aims to provide empirical evidence on the relationship between air quality and patterns of outdoor exercise in China. Methods Objective outdoor exercise data spanning 160 days were collected from 153 users of an exercise app, Tulipsport...
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| Published in: | International journal of behavioral medicine 2017-08, Vol.24 (4), p.520-527 |
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| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c438t-5dbec757f8c08430e533772ff3038585e9305de53700f4a1a1aef9adec635e43 |
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| cites | cdi_FETCH-LOGICAL-c438t-5dbec757f8c08430e533772ff3038585e9305de53700f4a1a1aef9adec635e43 |
| container_end_page | 527 |
| container_issue | 4 |
| container_start_page | 520 |
| container_title | International journal of behavioral medicine |
| container_volume | 24 |
| creator | Hu, Liang Zhu, Li Xu, Yaping Lyu, Jiaying Imm, Kellie Yang, Lin |
| description | Purpose
Based on data collected from an exercise app, the study aims to provide empirical evidence on the relationship between air quality and patterns of outdoor exercise in China.
Methods
Objective outdoor exercise data spanning 160 days were collected from 153 users of an exercise app, Tulipsport in China. Each exercise mode (running, biking, and walking, respectively) was organized into five air quality categories based on Air Quality Index (AQI): excellent, good, mild pollution, moderate pollution, and serious pollution. Key parameters of each app user were calculated and analyzed: the total number of exercise bouts, the average duration, and the average distance of each exercise mode in each air quality category.
Results
Multivariate analyses of variance indicate that the users were less likely to participate in outdoor running, biking, and walking (
F
= 24.16,
p
|
| doi_str_mv | 10.1007/s12529-017-9647-2 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1901770299</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1901770299</sourcerecordid><originalsourceid>FETCH-LOGICAL-c438t-5dbec757f8c08430e533772ff3038585e9305de53700f4a1a1aef9adec635e43</originalsourceid><addsrcrecordid>eNp1kUFPGzEQhS0EIpDyA3qpLPXCxWVsr9debhBBWykFUXK3nN3ZxmizDvYukH9fo9CqqoR8sPX8zZvRPEI-cvjCAfRZ4kKJigHXrCoLzcQeOeJKCqaVMvv5DRqYUiAn5DilBwBQWsMhmQijZCF5eUTqn9i5wYc-rfyGXuLwjNjTCx_p3eg6P2yp6xt6Ow5NCJFevWCsfcIMrtyTz4rv6Wzle3dOHb0JT9jRH2HpO2SXLmFD74ex2X4gB63rEp683VOyuL5azL6x-e3X77OLOasLaQammiXWWunW1GAKCaik1Fq0rQRplFFYSVBNVjVAWzieD7aVa7AupcJCTsnpznYTw-OIabBrn2rsOtdjGJPlVV6UBlFVGf38H_oQxtjn4TLFjRFlyU2m-I6qY0gpYms30a9d3FoO9jUAuwvAZl_7GoAVuebTm_O4XGPzt-LPxjMgdkDKX_0vjP-0ftf1N8OXjzA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1918826618</pqid></control><display><type>article</type><title>Relationship Between Air Quality and Outdoor Exercise Behavior in China: a Novel Mobile-Based Study</title><source>Springer Link</source><source>SPORTDiscus with Full Text</source><creator>Hu, Liang ; Zhu, Li ; Xu, Yaping ; Lyu, Jiaying ; Imm, Kellie ; Yang, Lin</creator><creatorcontrib>Hu, Liang ; Zhu, Li ; Xu, Yaping ; Lyu, Jiaying ; Imm, Kellie ; Yang, Lin</creatorcontrib><description>Purpose
Based on data collected from an exercise app, the study aims to provide empirical evidence on the relationship between air quality and patterns of outdoor exercise in China.
Methods
Objective outdoor exercise data spanning 160 days were collected from 153 users of an exercise app, Tulipsport in China. Each exercise mode (running, biking, and walking, respectively) was organized into five air quality categories based on Air Quality Index (AQI): excellent, good, mild pollution, moderate pollution, and serious pollution. Key parameters of each app user were calculated and analyzed: the total number of exercise bouts, the average duration, and the average distance of each exercise mode in each air quality category.
Results
Multivariate analyses of variance indicate that the users were less likely to participate in outdoor running, biking, and walking (
F
= 24.16,
p
< .01, Wilk’s
Λ
= 0.64) as levels of air pollution increased. However, there is no difference in terms of average distance and duration of exercise across different air pollution categories.
Conclusions
People’s participation in outdoor exercise is impeded by air pollution severity, but they stick to their exercise routines once exercise is initiated. Although people should protect themselves from health damages caused by exercising under pollution, the decreases in physical activity associated with air pollution may also pose an indirect risk to public health. The interactive relationship between air quality, exercise, and health warrants more empirical and interdisciplinary explorations.</description><identifier>ISSN: 1070-5503</identifier><identifier>EISSN: 1532-7558</identifier><identifier>DOI: 10.1007/s12529-017-9647-2</identifier><identifier>PMID: 28534316</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adolescent ; Adult ; Air Pollution ; Air quality ; Alzheimer's disease ; Bicycling - statistics & numerical data ; China ; Exercise ; Exercise - physiology ; Family Medicine ; Female ; General Practice ; Health Psychology ; Humans ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Outdoor air quality ; Physical activity ; Physical fitness ; Physical training ; Pollution ; Public Health ; Risk ; Walking ; Young Adult</subject><ispartof>International journal of behavioral medicine, 2017-08, Vol.24 (4), p.520-527</ispartof><rights>International Society of Behavioral Medicine 2017</rights><rights>International Journal of Behavioral Medicine is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-5dbec757f8c08430e533772ff3038585e9305de53700f4a1a1aef9adec635e43</citedby><cites>FETCH-LOGICAL-c438t-5dbec757f8c08430e533772ff3038585e9305de53700f4a1a1aef9adec635e43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28534316$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hu, Liang</creatorcontrib><creatorcontrib>Zhu, Li</creatorcontrib><creatorcontrib>Xu, Yaping</creatorcontrib><creatorcontrib>Lyu, Jiaying</creatorcontrib><creatorcontrib>Imm, Kellie</creatorcontrib><creatorcontrib>Yang, Lin</creatorcontrib><title>Relationship Between Air Quality and Outdoor Exercise Behavior in China: a Novel Mobile-Based Study</title><title>International journal of behavioral medicine</title><addtitle>Int.J. Behav. Med</addtitle><addtitle>Int J Behav Med</addtitle><description>Purpose
Based on data collected from an exercise app, the study aims to provide empirical evidence on the relationship between air quality and patterns of outdoor exercise in China.
Methods
Objective outdoor exercise data spanning 160 days were collected from 153 users of an exercise app, Tulipsport in China. Each exercise mode (running, biking, and walking, respectively) was organized into five air quality categories based on Air Quality Index (AQI): excellent, good, mild pollution, moderate pollution, and serious pollution. Key parameters of each app user were calculated and analyzed: the total number of exercise bouts, the average duration, and the average distance of each exercise mode in each air quality category.
Results
Multivariate analyses of variance indicate that the users were less likely to participate in outdoor running, biking, and walking (
F
= 24.16,
p
< .01, Wilk’s
Λ
= 0.64) as levels of air pollution increased. However, there is no difference in terms of average distance and duration of exercise across different air pollution categories.
Conclusions
People’s participation in outdoor exercise is impeded by air pollution severity, but they stick to their exercise routines once exercise is initiated. Although people should protect themselves from health damages caused by exercising under pollution, the decreases in physical activity associated with air pollution may also pose an indirect risk to public health. The interactive relationship between air quality, exercise, and health warrants more empirical and interdisciplinary explorations.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Air Pollution</subject><subject>Air quality</subject><subject>Alzheimer's disease</subject><subject>Bicycling - statistics & numerical data</subject><subject>China</subject><subject>Exercise</subject><subject>Exercise - physiology</subject><subject>Family Medicine</subject><subject>Female</subject><subject>General Practice</subject><subject>Health Psychology</subject><subject>Humans</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Outdoor air quality</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Physical training</subject><subject>Pollution</subject><subject>Public Health</subject><subject>Risk</subject><subject>Walking</subject><subject>Young Adult</subject><issn>1070-5503</issn><issn>1532-7558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1kUFPGzEQhS0EIpDyA3qpLPXCxWVsr9debhBBWykFUXK3nN3ZxmizDvYukH9fo9CqqoR8sPX8zZvRPEI-cvjCAfRZ4kKJigHXrCoLzcQeOeJKCqaVMvv5DRqYUiAn5DilBwBQWsMhmQijZCF5eUTqn9i5wYc-rfyGXuLwjNjTCx_p3eg6P2yp6xt6Ow5NCJFevWCsfcIMrtyTz4rv6Wzle3dOHb0JT9jRH2HpO2SXLmFD74ex2X4gB63rEp683VOyuL5azL6x-e3X77OLOasLaQammiXWWunW1GAKCaik1Fq0rQRplFFYSVBNVjVAWzieD7aVa7AupcJCTsnpznYTw-OIabBrn2rsOtdjGJPlVV6UBlFVGf38H_oQxtjn4TLFjRFlyU2m-I6qY0gpYms30a9d3FoO9jUAuwvAZl_7GoAVuebTm_O4XGPzt-LPxjMgdkDKX_0vjP-0ftf1N8OXjzA</recordid><startdate>20170801</startdate><enddate>20170801</enddate><creator>Hu, Liang</creator><creator>Zhu, Li</creator><creator>Xu, Yaping</creator><creator>Lyu, Jiaying</creator><creator>Imm, Kellie</creator><creator>Yang, Lin</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20170801</creationdate><title>Relationship Between Air Quality and Outdoor Exercise Behavior in China: a Novel Mobile-Based Study</title><author>Hu, Liang ; Zhu, Li ; Xu, Yaping ; Lyu, Jiaying ; Imm, Kellie ; Yang, Lin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-5dbec757f8c08430e533772ff3038585e9305de53700f4a1a1aef9adec635e43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Air Pollution</topic><topic>Air quality</topic><topic>Alzheimer's disease</topic><topic>Bicycling - statistics & numerical data</topic><topic>China</topic><topic>Exercise</topic><topic>Exercise - physiology</topic><topic>Family Medicine</topic><topic>Female</topic><topic>General Practice</topic><topic>Health Psychology</topic><topic>Humans</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Outdoor air quality</topic><topic>Physical activity</topic><topic>Physical fitness</topic><topic>Physical training</topic><topic>Pollution</topic><topic>Public Health</topic><topic>Risk</topic><topic>Walking</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hu, Liang</creatorcontrib><creatorcontrib>Zhu, Li</creatorcontrib><creatorcontrib>Xu, Yaping</creatorcontrib><creatorcontrib>Lyu, Jiaying</creatorcontrib><creatorcontrib>Imm, Kellie</creatorcontrib><creatorcontrib>Yang, Lin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>ProQuest research library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>International journal of behavioral medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Liang</au><au>Zhu, Li</au><au>Xu, Yaping</au><au>Lyu, Jiaying</au><au>Imm, Kellie</au><au>Yang, Lin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relationship Between Air Quality and Outdoor Exercise Behavior in China: a Novel Mobile-Based Study</atitle><jtitle>International journal of behavioral medicine</jtitle><stitle>Int.J. Behav. Med</stitle><addtitle>Int J Behav Med</addtitle><date>2017-08-01</date><risdate>2017</risdate><volume>24</volume><issue>4</issue><spage>520</spage><epage>527</epage><pages>520-527</pages><issn>1070-5503</issn><eissn>1532-7558</eissn><abstract>Purpose
Based on data collected from an exercise app, the study aims to provide empirical evidence on the relationship between air quality and patterns of outdoor exercise in China.
Methods
Objective outdoor exercise data spanning 160 days were collected from 153 users of an exercise app, Tulipsport in China. Each exercise mode (running, biking, and walking, respectively) was organized into five air quality categories based on Air Quality Index (AQI): excellent, good, mild pollution, moderate pollution, and serious pollution. Key parameters of each app user were calculated and analyzed: the total number of exercise bouts, the average duration, and the average distance of each exercise mode in each air quality category.
Results
Multivariate analyses of variance indicate that the users were less likely to participate in outdoor running, biking, and walking (
F
= 24.16,
p
< .01, Wilk’s
Λ
= 0.64) as levels of air pollution increased. However, there is no difference in terms of average distance and duration of exercise across different air pollution categories.
Conclusions
People’s participation in outdoor exercise is impeded by air pollution severity, but they stick to their exercise routines once exercise is initiated. Although people should protect themselves from health damages caused by exercising under pollution, the decreases in physical activity associated with air pollution may also pose an indirect risk to public health. The interactive relationship between air quality, exercise, and health warrants more empirical and interdisciplinary explorations.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>28534316</pmid><doi>10.1007/s12529-017-9647-2</doi><tpages>8</tpages></addata></record> |
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| identifier | ISSN: 1070-5503 |
| ispartof | International journal of behavioral medicine, 2017-08, Vol.24 (4), p.520-527 |
| issn | 1070-5503 1532-7558 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1901770299 |
| source | Springer Link; SPORTDiscus with Full Text |
| subjects | Adolescent Adult Air Pollution Air quality Alzheimer's disease Bicycling - statistics & numerical data China Exercise Exercise - physiology Family Medicine Female General Practice Health Psychology Humans Male Medicine Medicine & Public Health Middle Aged Outdoor air quality Physical activity Physical fitness Physical training Pollution Public Health Risk Walking Young Adult |
| title | Relationship Between Air Quality and Outdoor Exercise Behavior in China: a Novel Mobile-Based Study |
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