Income, Race and its Association with Obesogenic Behaviors of U.S. Children and Adolescents, NHANES 2003–2006
Objectives To describe the associations of income and race with obesogenic behaviors and % body fat among a large sample of U.S. children and adolescents. Design Data were obtained from the 2003–2004 and 2005–2006 National Health and Nutritional Examination Survey. Multiple linear regression models...
Gespeichert in:
| Veröffentlicht in: | Journal of community health 2019-06, Vol.44 (3), p.507-518 |
|---|---|
| Hauptverfasser: | , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 518 |
|---|---|
| container_issue | 3 |
| container_start_page | 507 |
| container_title | Journal of community health |
| container_volume | 44 |
| creator | Hunt, Ethan T. Brazendale, Keith Dunn, Caroline Boutté, Alycia K. Liu, Jihong Hardin, James Beets, Michael W. Weaver, R. Glenn |
| description | Objectives
To describe the associations of income and race with obesogenic behaviors and % body fat among a large sample of U.S. children and adolescents.
Design
Data were obtained from the 2003–2004 and 2005–2006 National Health and Nutritional Examination Survey. Multiple linear regression models and interactions were used to examine the associations of moderate-to-vigorous physical activity (MVPA), sedentary time, diet quality, and screen-time with income-to-poverty ratio and race. Separate stratified analyses explored associations among individual obesogenic behaviors within race and income groups.
Results
This study included children and adolescents (n = 3551, mean = 13.1 years, SD = 3.9 years) who were 37% Hispanic, 27% White, and 35% Black. Overall, Hispanic children/adolescents had significantly higher levels of adiposity (3.6, 95 CI = 0.9, 6.3) than white children and adolescents. Medium-income children and adolescents engaged in less MVPA (− 3.3 min, 95 CI = − 5.1, − 1.5), had poorer diet quality (− 1.1, 95 CI = − 1.9, − 0.2), and used screens less (− 33.9 min, 95 CI = − 45.4, − 22.4) than children and adolescents from low-income households. High-income children and adolescents also engaged in less MVPA (− 3.1 min, 95 CI = − 5.5, − 0.7) and used screens less (− 62.9 min, 95 CI = − 78.3, − 47.4) than children and adolescents from low-income households. However, there were significant race/ethnicity-by-income interactions for high-income Hispanic children and adolescents with diet quality (− 3.5 HEI-2010 score, 95 CI = − 6.6, − 0.4) and screen time (66.9 min, 95 CI = 24.7, 109.0). There was also a significant race/ethnicity-by-income interaction for the screen-time of Black children and adolescents from medium (33.8 min, 95% CI 0.2, 67.3) and high (75.8 min, 95% CI 34.7, 117.0) income households.
Conclusions
There appears to be a complex relationship that varies by race/ethnicity between income, obesogenic behaviors, and adiposity levels among children and adolescents. More work is needed to identify the behavioral mechanisms that are driving disparate rates of overweight and obesity among minority children and those from low-income households. |
| doi_str_mv | 10.1007/s10900-018-00613-6 |
| format | Article |
| fullrecord | <record><control><sourceid>jstor_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11462129</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>48716702</jstor_id><sourcerecordid>48716702</sourcerecordid><originalsourceid>FETCH-LOGICAL-c497t-50165d4f549403611bb379af58bf592b803857bba3c6ea3c55441ede49abca3e3</originalsourceid><addsrcrecordid>eNp9kc1uEzEUhS0EoqHwAkggS2xYdMK9458Zr1CICq1UtRKla8sz40kcTexiT4rY8Q68IU-Cm5SUsmDju7jfOb5Hh5CXCFMEqN4lBAVQANYFgERWyEdkgqJiBZMIj8kEQPFCIBcH5FlKKwBAqORTcsBACsWxnJBw6tuwtkf0s2ktNb6jbkx0llJonRld8PSbG5f0orEpLKx3Lf1gl-bGhZho6OnV9HJK50s3dNH6rXzWhcGm1voxHdHzk9n58SUtAdivHz_zkM_Jk94Myb64m4fk6uPxl_lJcXbx6XQ-OytarqqxEIBSdLwXXHHIabBpWKVML-qmF6psamC1qJrGsFba_AjBOdrOcmWa1jDLDsn7ne_1plnb7vaeaAZ9Hd3axO86GKcfbrxb6kW40Yhclliq7PD2ziGGrxubRr12OdcwGG_DJukSK8XqslY8o2_-QVdhE33OlylZ5wR8a1juqDaGlKLt99cg6NtC9a5QnQvV20K1zKLXf-fYS_40mAG2A1Je-YWN93__1_bVTrVKY4h7V15XKCso2W-eoLNc</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2168403429</pqid></control><display><type>article</type><title>Income, Race and its Association with Obesogenic Behaviors of U.S. Children and Adolescents, NHANES 2003–2006</title><source>MEDLINE</source><source>Jstor Complete Legacy</source><source>Education Source</source><source>Springer Nature - Complete Springer Journals</source><creator>Hunt, Ethan T. ; Brazendale, Keith ; Dunn, Caroline ; Boutté, Alycia K. ; Liu, Jihong ; Hardin, James ; Beets, Michael W. ; Weaver, R. Glenn</creator><creatorcontrib>Hunt, Ethan T. ; Brazendale, Keith ; Dunn, Caroline ; Boutté, Alycia K. ; Liu, Jihong ; Hardin, James ; Beets, Michael W. ; Weaver, R. Glenn</creatorcontrib><description>Objectives
To describe the associations of income and race with obesogenic behaviors and % body fat among a large sample of U.S. children and adolescents.
Design
Data were obtained from the 2003–2004 and 2005–2006 National Health and Nutritional Examination Survey. Multiple linear regression models and interactions were used to examine the associations of moderate-to-vigorous physical activity (MVPA), sedentary time, diet quality, and screen-time with income-to-poverty ratio and race. Separate stratified analyses explored associations among individual obesogenic behaviors within race and income groups.
Results
This study included children and adolescents (n = 3551, mean = 13.1 years, SD = 3.9 years) who were 37% Hispanic, 27% White, and 35% Black. Overall, Hispanic children/adolescents had significantly higher levels of adiposity (3.6, 95 CI = 0.9, 6.3) than white children and adolescents. Medium-income children and adolescents engaged in less MVPA (− 3.3 min, 95 CI = − 5.1, − 1.5), had poorer diet quality (− 1.1, 95 CI = − 1.9, − 0.2), and used screens less (− 33.9 min, 95 CI = − 45.4, − 22.4) than children and adolescents from low-income households. High-income children and adolescents also engaged in less MVPA (− 3.1 min, 95 CI = − 5.5, − 0.7) and used screens less (− 62.9 min, 95 CI = − 78.3, − 47.4) than children and adolescents from low-income households. However, there were significant race/ethnicity-by-income interactions for high-income Hispanic children and adolescents with diet quality (− 3.5 HEI-2010 score, 95 CI = − 6.6, − 0.4) and screen time (66.9 min, 95 CI = 24.7, 109.0). There was also a significant race/ethnicity-by-income interaction for the screen-time of Black children and adolescents from medium (33.8 min, 95% CI 0.2, 67.3) and high (75.8 min, 95% CI 34.7, 117.0) income households.
Conclusions
There appears to be a complex relationship that varies by race/ethnicity between income, obesogenic behaviors, and adiposity levels among children and adolescents. More work is needed to identify the behavioral mechanisms that are driving disparate rates of overweight and obesity among minority children and those from low-income households.</description><identifier>ISSN: 0094-5145</identifier><identifier>ISSN: 1573-3610</identifier><identifier>EISSN: 1573-3610</identifier><identifier>DOI: 10.1007/s10900-018-00613-6</identifier><identifier>PMID: 30659412</identifier><language>eng</language><publisher>New York: Springer Science + Business Media</publisher><subject><![CDATA[Adipose tissue ; Adolescent ; Adolescents ; Black or African American - statistics & numerical data ; Body fat ; Body weight ; Body Weights and Measures ; Child ; Children ; Community and Environmental Psychology ; Cross-Sectional Studies ; Diet ; Diet - ethnology ; Ethics ; Ethnicity ; Exercise ; Female ; Health Behavior - ethnology ; Health Promotion and Disease Prevention ; Hispanic Americans ; Hispanic or Latino - statistics & numerical data ; Households ; Humans ; Income ; Income - statistics & numerical data ; Low Income ; Low income groups ; Male ; Medicine ; Medicine & Public Health ; Minority & ethnic groups ; Minority Group Children ; Multiple Regression Analysis ; Nutrition Surveys ; Obesity ; ORIGINAL PAPER ; Overweight ; Physical activity ; Poverty ; Poverty - statistics & numerical data ; Race ; Racial Groups - statistics & numerical data ; Regression analysis ; Regression models ; Screen Time ; Screens ; Sedentary Behavior - ethnology ; Teenagers ; White People - statistics & numerical data ; Young Adult]]></subject><ispartof>Journal of community health, 2019-06, Vol.44 (3), p.507-518</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2019</rights><rights>Journal of Community Health is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c497t-50165d4f549403611bb379af58bf592b803857bba3c6ea3c55441ede49abca3e3</citedby><cites>FETCH-LOGICAL-c497t-50165d4f549403611bb379af58bf592b803857bba3c6ea3c55441ede49abca3e3</cites><orcidid>0000-0003-3388-5370</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/48716702$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/48716702$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,778,782,801,883,27907,27908,41471,42540,51302,58000,58233</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30659412$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hunt, Ethan T.</creatorcontrib><creatorcontrib>Brazendale, Keith</creatorcontrib><creatorcontrib>Dunn, Caroline</creatorcontrib><creatorcontrib>Boutté, Alycia K.</creatorcontrib><creatorcontrib>Liu, Jihong</creatorcontrib><creatorcontrib>Hardin, James</creatorcontrib><creatorcontrib>Beets, Michael W.</creatorcontrib><creatorcontrib>Weaver, R. Glenn</creatorcontrib><title>Income, Race and its Association with Obesogenic Behaviors of U.S. Children and Adolescents, NHANES 2003–2006</title><title>Journal of community health</title><addtitle>J Community Health</addtitle><addtitle>J Community Health</addtitle><description>Objectives
To describe the associations of income and race with obesogenic behaviors and % body fat among a large sample of U.S. children and adolescents.
Design
Data were obtained from the 2003–2004 and 2005–2006 National Health and Nutritional Examination Survey. Multiple linear regression models and interactions were used to examine the associations of moderate-to-vigorous physical activity (MVPA), sedentary time, diet quality, and screen-time with income-to-poverty ratio and race. Separate stratified analyses explored associations among individual obesogenic behaviors within race and income groups.
Results
This study included children and adolescents (n = 3551, mean = 13.1 years, SD = 3.9 years) who were 37% Hispanic, 27% White, and 35% Black. Overall, Hispanic children/adolescents had significantly higher levels of adiposity (3.6, 95 CI = 0.9, 6.3) than white children and adolescents. Medium-income children and adolescents engaged in less MVPA (− 3.3 min, 95 CI = − 5.1, − 1.5), had poorer diet quality (− 1.1, 95 CI = − 1.9, − 0.2), and used screens less (− 33.9 min, 95 CI = − 45.4, − 22.4) than children and adolescents from low-income households. High-income children and adolescents also engaged in less MVPA (− 3.1 min, 95 CI = − 5.5, − 0.7) and used screens less (− 62.9 min, 95 CI = − 78.3, − 47.4) than children and adolescents from low-income households. However, there were significant race/ethnicity-by-income interactions for high-income Hispanic children and adolescents with diet quality (− 3.5 HEI-2010 score, 95 CI = − 6.6, − 0.4) and screen time (66.9 min, 95 CI = 24.7, 109.0). There was also a significant race/ethnicity-by-income interaction for the screen-time of Black children and adolescents from medium (33.8 min, 95% CI 0.2, 67.3) and high (75.8 min, 95% CI 34.7, 117.0) income households.
Conclusions
There appears to be a complex relationship that varies by race/ethnicity between income, obesogenic behaviors, and adiposity levels among children and adolescents. More work is needed to identify the behavioral mechanisms that are driving disparate rates of overweight and obesity among minority children and those from low-income households.</description><subject>Adipose tissue</subject><subject>Adolescent</subject><subject>Adolescents</subject><subject>Black or African American - statistics & numerical data</subject><subject>Body fat</subject><subject>Body weight</subject><subject>Body Weights and Measures</subject><subject>Child</subject><subject>Children</subject><subject>Community and Environmental Psychology</subject><subject>Cross-Sectional Studies</subject><subject>Diet</subject><subject>Diet - ethnology</subject><subject>Ethics</subject><subject>Ethnicity</subject><subject>Exercise</subject><subject>Female</subject><subject>Health Behavior - ethnology</subject><subject>Health Promotion and Disease Prevention</subject><subject>Hispanic Americans</subject><subject>Hispanic or Latino - statistics & numerical data</subject><subject>Households</subject><subject>Humans</subject><subject>Income</subject><subject>Income - statistics & numerical data</subject><subject>Low Income</subject><subject>Low income groups</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Minority & ethnic groups</subject><subject>Minority Group Children</subject><subject>Multiple Regression Analysis</subject><subject>Nutrition Surveys</subject><subject>Obesity</subject><subject>ORIGINAL PAPER</subject><subject>Overweight</subject><subject>Physical activity</subject><subject>Poverty</subject><subject>Poverty - statistics & numerical data</subject><subject>Race</subject><subject>Racial Groups - statistics & numerical data</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Screen Time</subject><subject>Screens</subject><subject>Sedentary Behavior - ethnology</subject><subject>Teenagers</subject><subject>White People - statistics & numerical data</subject><subject>Young Adult</subject><issn>0094-5145</issn><issn>1573-3610</issn><issn>1573-3610</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kc1uEzEUhS0EoqHwAkggS2xYdMK9458Zr1CICq1UtRKla8sz40kcTexiT4rY8Q68IU-Cm5SUsmDju7jfOb5Hh5CXCFMEqN4lBAVQANYFgERWyEdkgqJiBZMIj8kEQPFCIBcH5FlKKwBAqORTcsBACsWxnJBw6tuwtkf0s2ktNb6jbkx0llJonRld8PSbG5f0orEpLKx3Lf1gl-bGhZho6OnV9HJK50s3dNH6rXzWhcGm1voxHdHzk9n58SUtAdivHz_zkM_Jk94Myb64m4fk6uPxl_lJcXbx6XQ-OytarqqxEIBSdLwXXHHIabBpWKVML-qmF6psamC1qJrGsFba_AjBOdrOcmWa1jDLDsn7ne_1plnb7vaeaAZ9Hd3axO86GKcfbrxb6kW40Yhclliq7PD2ziGGrxubRr12OdcwGG_DJukSK8XqslY8o2_-QVdhE33OlylZ5wR8a1juqDaGlKLt99cg6NtC9a5QnQvV20K1zKLXf-fYS_40mAG2A1Je-YWN93__1_bVTrVKY4h7V15XKCso2W-eoLNc</recordid><startdate>20190601</startdate><enddate>20190601</enddate><creator>Hunt, Ethan T.</creator><creator>Brazendale, Keith</creator><creator>Dunn, Caroline</creator><creator>Boutté, Alycia K.</creator><creator>Liu, Jihong</creator><creator>Hardin, James</creator><creator>Beets, Michael W.</creator><creator>Weaver, R. Glenn</creator><general>Springer Science + Business Media</general><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>0-V</scope><scope>3V.</scope><scope>7RV</scope><scope>7T2</scope><scope>7X7</scope><scope>7XB</scope><scope>88B</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>88J</scope><scope>8AF</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>CJNVE</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0P</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>M2P</scope><scope>M2R</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PATMY</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-3388-5370</orcidid></search><sort><creationdate>20190601</creationdate><title>Income, Race and its Association with Obesogenic Behaviors of U.S. Children and Adolescents, NHANES 2003–2006</title><author>Hunt, Ethan T. ; Brazendale, Keith ; Dunn, Caroline ; Boutté, Alycia K. ; Liu, Jihong ; Hardin, James ; Beets, Michael W. ; Weaver, R. Glenn</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c497t-50165d4f549403611bb379af58bf592b803857bba3c6ea3c55441ede49abca3e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adipose tissue</topic><topic>Adolescent</topic><topic>Adolescents</topic><topic>Black or African American - statistics & numerical data</topic><topic>Body fat</topic><topic>Body weight</topic><topic>Body Weights and Measures</topic><topic>Child</topic><topic>Children</topic><topic>Community and Environmental Psychology</topic><topic>Cross-Sectional Studies</topic><topic>Diet</topic><topic>Diet - ethnology</topic><topic>Ethics</topic><topic>Ethnicity</topic><topic>Exercise</topic><topic>Female</topic><topic>Health Behavior - ethnology</topic><topic>Health Promotion and Disease Prevention</topic><topic>Hispanic Americans</topic><topic>Hispanic or Latino - statistics & numerical data</topic><topic>Households</topic><topic>Humans</topic><topic>Income</topic><topic>Income - statistics & numerical data</topic><topic>Low Income</topic><topic>Low income groups</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Minority & ethnic groups</topic><topic>Minority Group Children</topic><topic>Multiple Regression Analysis</topic><topic>Nutrition Surveys</topic><topic>Obesity</topic><topic>ORIGINAL PAPER</topic><topic>Overweight</topic><topic>Physical activity</topic><topic>Poverty</topic><topic>Poverty - statistics & numerical data</topic><topic>Race</topic><topic>Racial Groups - statistics & numerical data</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Screen Time</topic><topic>Screens</topic><topic>Sedentary Behavior - ethnology</topic><topic>Teenagers</topic><topic>White People - statistics & numerical data</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hunt, Ethan T.</creatorcontrib><creatorcontrib>Brazendale, Keith</creatorcontrib><creatorcontrib>Dunn, Caroline</creatorcontrib><creatorcontrib>Boutté, Alycia K.</creatorcontrib><creatorcontrib>Liu, Jihong</creatorcontrib><creatorcontrib>Hardin, James</creatorcontrib><creatorcontrib>Beets, Michael W.</creatorcontrib><creatorcontrib>Weaver, R. Glenn</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 Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Education Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</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 Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Education Collection</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>SciTech Premium Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Education Database</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>Science Database (ProQuest)</collection><collection>Social Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Environmental Science Database</collection><collection>ProQuest One Education</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 One Psychology</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of community health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hunt, Ethan T.</au><au>Brazendale, Keith</au><au>Dunn, Caroline</au><au>Boutté, Alycia K.</au><au>Liu, Jihong</au><au>Hardin, James</au><au>Beets, Michael W.</au><au>Weaver, R. Glenn</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Income, Race and its Association with Obesogenic Behaviors of U.S. Children and Adolescents, NHANES 2003–2006</atitle><jtitle>Journal of community health</jtitle><stitle>J Community Health</stitle><addtitle>J Community Health</addtitle><date>2019-06-01</date><risdate>2019</risdate><volume>44</volume><issue>3</issue><spage>507</spage><epage>518</epage><pages>507-518</pages><issn>0094-5145</issn><issn>1573-3610</issn><eissn>1573-3610</eissn><abstract>Objectives
To describe the associations of income and race with obesogenic behaviors and % body fat among a large sample of U.S. children and adolescents.
Design
Data were obtained from the 2003–2004 and 2005–2006 National Health and Nutritional Examination Survey. Multiple linear regression models and interactions were used to examine the associations of moderate-to-vigorous physical activity (MVPA), sedentary time, diet quality, and screen-time with income-to-poverty ratio and race. Separate stratified analyses explored associations among individual obesogenic behaviors within race and income groups.
Results
This study included children and adolescents (n = 3551, mean = 13.1 years, SD = 3.9 years) who were 37% Hispanic, 27% White, and 35% Black. Overall, Hispanic children/adolescents had significantly higher levels of adiposity (3.6, 95 CI = 0.9, 6.3) than white children and adolescents. Medium-income children and adolescents engaged in less MVPA (− 3.3 min, 95 CI = − 5.1, − 1.5), had poorer diet quality (− 1.1, 95 CI = − 1.9, − 0.2), and used screens less (− 33.9 min, 95 CI = − 45.4, − 22.4) than children and adolescents from low-income households. High-income children and adolescents also engaged in less MVPA (− 3.1 min, 95 CI = − 5.5, − 0.7) and used screens less (− 62.9 min, 95 CI = − 78.3, − 47.4) than children and adolescents from low-income households. However, there were significant race/ethnicity-by-income interactions for high-income Hispanic children and adolescents with diet quality (− 3.5 HEI-2010 score, 95 CI = − 6.6, − 0.4) and screen time (66.9 min, 95 CI = 24.7, 109.0). There was also a significant race/ethnicity-by-income interaction for the screen-time of Black children and adolescents from medium (33.8 min, 95% CI 0.2, 67.3) and high (75.8 min, 95% CI 34.7, 117.0) income households.
Conclusions
There appears to be a complex relationship that varies by race/ethnicity between income, obesogenic behaviors, and adiposity levels among children and adolescents. More work is needed to identify the behavioral mechanisms that are driving disparate rates of overweight and obesity among minority children and those from low-income households.</abstract><cop>New York</cop><pub>Springer Science + Business Media</pub><pmid>30659412</pmid><doi>10.1007/s10900-018-00613-6</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-3388-5370</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0094-5145 |
| ispartof | Journal of community health, 2019-06, Vol.44 (3), p.507-518 |
| issn | 0094-5145 1573-3610 1573-3610 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11462129 |
| source | MEDLINE; Jstor Complete Legacy; Education Source; Springer Nature - Complete Springer Journals |
| subjects | Adipose tissue Adolescent Adolescents Black or African American - statistics & numerical data Body fat Body weight Body Weights and Measures Child Children Community and Environmental Psychology Cross-Sectional Studies Diet Diet - ethnology Ethics Ethnicity Exercise Female Health Behavior - ethnology Health Promotion and Disease Prevention Hispanic Americans Hispanic or Latino - statistics & numerical data Households Humans Income Income - statistics & numerical data Low Income Low income groups Male Medicine Medicine & Public Health Minority & ethnic groups Minority Group Children Multiple Regression Analysis Nutrition Surveys Obesity ORIGINAL PAPER Overweight Physical activity Poverty Poverty - statistics & numerical data Race Racial Groups - statistics & numerical data Regression analysis Regression models Screen Time Screens Sedentary Behavior - ethnology Teenagers White People - statistics & numerical data Young Adult |
| title | Income, Race and its Association with Obesogenic Behaviors of U.S. Children and Adolescents, NHANES 2003–2006 |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T08%3A05%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Income,%20Race%20and%20its%20Association%20with%20Obesogenic%20Behaviors%20of%20U.S.%20Children%20and%20Adolescents,%20NHANES%202003%E2%80%932006&rft.jtitle=Journal%20of%20community%20health&rft.au=Hunt,%20Ethan%20T.&rft.date=2019-06-01&rft.volume=44&rft.issue=3&rft.spage=507&rft.epage=518&rft.pages=507-518&rft.issn=0094-5145&rft.eissn=1573-3610&rft_id=info:doi/10.1007/s10900-018-00613-6&rft_dat=%3Cjstor_pubme%3E48716702%3C/jstor_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2168403429&rft_id=info:pmid/30659412&rft_jstor_id=48716702&rfr_iscdi=true |