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Gender, Age, and Education Level Modify the Association between Body Mass Index and Physical Activity: A Cross-Sectional Study in Hangzhou, China
Numerous studies have reported a strong inverse association between BMI and physical activity in western populations. Recently, the association between BMI and physical activity has been considered bidirectional. This study aimed to examine the associations of body mass index (BMI) with physical act...
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Published in: | PloS one 2015-05, Vol.10 (5), p.e0125534-e0125534 |
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description | Numerous studies have reported a strong inverse association between BMI and physical activity in western populations. Recently, the association between BMI and physical activity has been considered bidirectional. This study aimed to examine the associations of body mass index (BMI) with physical activity and sedentary behavior and to explore whether those associations were modified by socio-demographic characteristics.
We conducted a multistage random sampling survey in three districts of Hangzhou, China, in 2012. The International Physical Activity Questionnaire long form was used to collect data regarding physical activity and sedentary behavior. A multilevel mixed-effects regression model was used to assess the associations of BMI with physical activity and sedentary behavior.
A total of 1362 eligible people (624 men and 738 women, ages 23-59 years) completed the survey. People who are young or middle-aged and have the highest education level are the most inactive. Significant differences in the associations between physical activity and BMI across socio-demographic groups were identified (sex*BMI, P=0.018; age*BMI, P |
doi_str_mv | 10.1371/journal.pone.0125534 |
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We conducted a multistage random sampling survey in three districts of Hangzhou, China, in 2012. The International Physical Activity Questionnaire long form was used to collect data regarding physical activity and sedentary behavior. A multilevel mixed-effects regression model was used to assess the associations of BMI with physical activity and sedentary behavior.
A total of 1362 eligible people (624 men and 738 women, ages 23-59 years) completed the survey. People who are young or middle-aged and have the highest education level are the most inactive. Significant differences in the associations between physical activity and BMI across socio-demographic groups were identified (sex*BMI, P=0.018; age*BMI, P<0.001; education level*BMI, P=0.030). Women or individuals older than 50 had a higher level of physical activity with increasing BMI. There was no statistically significant association between BMI and sedentary behavior (P=0.450).
The associations between BMI and physical activity were modified by sex, age, and education level in Hangzhou, China.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0125534</identifier><identifier>PMID: 25942446</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Age ; Age (Biology) ; Analysis ; Body mass ; Body Mass Index ; Body size ; China ; China - epidemiology ; Cross-Sectional Studies ; Demographics ; Education ; Exercise ; Female ; Gender ; Households ; Human behavior ; Humans ; Influence ; Male ; Middle Aged ; Mortality ; Motor Activity ; Multilevel ; Obesity ; Physical activity ; Physiological aspects ; Public Health Surveillance ; Random sampling ; Regression models ; Risk Factors ; Sedentary behavior ; Self Report ; Sex ; Statistical analysis ; Studies ; Surveys ; Young Adult</subject><ispartof>PloS one, 2015-05, Vol.10 (5), p.e0125534-e0125534</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Fan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Fan et al 2015 Fan et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c557t-3f7b9029ea8e0b76624d426a16b675ddda96adcd9a7b74833964d01f26db719b3</citedby><cites>FETCH-LOGICAL-c557t-3f7b9029ea8e0b76624d426a16b675ddda96adcd9a7b74833964d01f26db719b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1678757631/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1678757631?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,44566,53766,53768,75096</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25942446$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fan, Mengyu</creatorcontrib><creatorcontrib>Su, Meng</creatorcontrib><creatorcontrib>Tan, Yayun</creatorcontrib><creatorcontrib>Liu, Qingmin</creatorcontrib><creatorcontrib>Ren, Yanjun</creatorcontrib><creatorcontrib>Li, Liming</creatorcontrib><creatorcontrib>Lv, Jun</creatorcontrib><title>Gender, Age, and Education Level Modify the Association between Body Mass Index and Physical Activity: A Cross-Sectional Study in Hangzhou, China</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Numerous studies have reported a strong inverse association between BMI and physical activity in western populations. Recently, the association between BMI and physical activity has been considered bidirectional. This study aimed to examine the associations of body mass index (BMI) with physical activity and sedentary behavior and to explore whether those associations were modified by socio-demographic characteristics.
We conducted a multistage random sampling survey in three districts of Hangzhou, China, in 2012. The International Physical Activity Questionnaire long form was used to collect data regarding physical activity and sedentary behavior. A multilevel mixed-effects regression model was used to assess the associations of BMI with physical activity and sedentary behavior.
A total of 1362 eligible people (624 men and 738 women, ages 23-59 years) completed the survey. People who are young or middle-aged and have the highest education level are the most inactive. Significant differences in the associations between physical activity and BMI across socio-demographic groups were identified (sex*BMI, P=0.018; age*BMI, P<0.001; education level*BMI, P=0.030). Women or individuals older than 50 had a higher level of physical activity with increasing BMI. There was no statistically significant association between BMI and sedentary behavior (P=0.450).
The associations between BMI and physical activity were modified by sex, age, and education level in Hangzhou, China.</description><subject>Adult</subject><subject>Age</subject><subject>Age (Biology)</subject><subject>Analysis</subject><subject>Body mass</subject><subject>Body Mass Index</subject><subject>Body size</subject><subject>China</subject><subject>China - epidemiology</subject><subject>Cross-Sectional Studies</subject><subject>Demographics</subject><subject>Education</subject><subject>Exercise</subject><subject>Female</subject><subject>Gender</subject><subject>Households</subject><subject>Human behavior</subject><subject>Humans</subject><subject>Influence</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Motor Activity</subject><subject>Multilevel</subject><subject>Obesity</subject><subject>Physical activity</subject><subject>Physiological aspects</subject><subject>Public Health Surveillance</subject><subject>Random sampling</subject><subject>Regression models</subject><subject>Risk Factors</subject><subject>Sedentary behavior</subject><subject>Self Report</subject><subject>Sex</subject><subject>Statistical analysis</subject><subject>Studies</subject><subject>Surveys</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptktFu0zAUhiMEYmPwBggsISEu2mI7jh1zgRSqsVXqBNLg2nLsk8ZVapc4KZS34I1J1m7aEFe2fP7_8zn2nyQvCZ6RVJD369C3XjezbfAww4RmWcoeJadEpnTKKU4f39ufJM9iXGOcpTnnT5MTmklGGeOnyZ8L8BbaCSpWMEHaW3Rue6M7Fzxawg4adBWsq_aoqwEVMQbjDsUSup8AHn0Kdo-udIxoMYB-3SC-1vvojG5QYTq3c93-AyrQvA0xTq_BjPahdt31g9N5dKn96ncd-gma187r58mTSjcRXhzXs-T75_Nv88vp8svFYl4spybLRDdNK1FKTCXoHHApOKfMMso14SUXmbVWS66tsVKLUrA8TSVnFpOKclsKIsv0LHl94G6bENXxNaMiXOQiEzwlg2JxUNig12rbuo1u9ypop24OQrtSuu2caUBZSSlIW3JaYoZzKrHRVJpM2xIY19XA-ni8rS83YA34rtXNA-jDine1WoWdYoxiKsZm3h0BbfjRQ-zUxkUDTaM9hH7sO8ckFzzDg_TNP9L_T_f2oFrpYYAadNPVMTT9-D1RFSzFQ3wyPOLYQWjGH2yhuuuaYDVG8RavxiiqYxQH26v7E9-ZbrOX_gVygtxe</recordid><startdate>20150505</startdate><enddate>20150505</enddate><creator>Fan, Mengyu</creator><creator>Su, Meng</creator><creator>Tan, Yayun</creator><creator>Liu, Qingmin</creator><creator>Ren, Yanjun</creator><creator>Li, Liming</creator><creator>Lv, Jun</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20150505</creationdate><title>Gender, Age, and Education Level Modify the Association between Body Mass Index and Physical Activity: A Cross-Sectional Study in Hangzhou, China</title><author>Fan, Mengyu ; Su, Meng ; Tan, Yayun ; Liu, Qingmin ; Ren, Yanjun ; Li, Liming ; Lv, Jun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c557t-3f7b9029ea8e0b76624d426a16b675ddda96adcd9a7b74833964d01f26db719b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Age</topic><topic>Age (Biology)</topic><topic>Analysis</topic><topic>Body mass</topic><topic>Body Mass Index</topic><topic>Body size</topic><topic>China</topic><topic>China - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fan, Mengyu</au><au>Su, Meng</au><au>Tan, Yayun</au><au>Liu, Qingmin</au><au>Ren, Yanjun</au><au>Li, Liming</au><au>Lv, Jun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gender, Age, and Education Level Modify the Association between Body Mass Index and Physical Activity: A Cross-Sectional Study in Hangzhou, China</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-05-05</date><risdate>2015</risdate><volume>10</volume><issue>5</issue><spage>e0125534</spage><epage>e0125534</epage><pages>e0125534-e0125534</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Numerous studies have reported a strong inverse association between BMI and physical activity in western populations. Recently, the association between BMI and physical activity has been considered bidirectional. This study aimed to examine the associations of body mass index (BMI) with physical activity and sedentary behavior and to explore whether those associations were modified by socio-demographic characteristics.
We conducted a multistage random sampling survey in three districts of Hangzhou, China, in 2012. The International Physical Activity Questionnaire long form was used to collect data regarding physical activity and sedentary behavior. A multilevel mixed-effects regression model was used to assess the associations of BMI with physical activity and sedentary behavior.
A total of 1362 eligible people (624 men and 738 women, ages 23-59 years) completed the survey. People who are young or middle-aged and have the highest education level are the most inactive. Significant differences in the associations between physical activity and BMI across socio-demographic groups were identified (sex*BMI, P=0.018; age*BMI, P<0.001; education level*BMI, P=0.030). Women or individuals older than 50 had a higher level of physical activity with increasing BMI. There was no statistically significant association between BMI and sedentary behavior (P=0.450).
The associations between BMI and physical activity were modified by sex, age, and education level in Hangzhou, China.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25942446</pmid><doi>10.1371/journal.pone.0125534</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adult Age Age (Biology) Analysis Body mass Body Mass Index Body size China China - epidemiology Cross-Sectional Studies Demographics Education Exercise Female Gender Households Human behavior Humans Influence Male Middle Aged Mortality Motor Activity Multilevel Obesity Physical activity Physiological aspects Public Health Surveillance Random sampling Regression models Risk Factors Sedentary behavior Self Report Sex Statistical analysis Studies Surveys Young Adult |
title | Gender, Age, and Education Level Modify the Association between Body Mass Index and Physical Activity: A Cross-Sectional Study in Hangzhou, China |
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