The longitudinal relationship between community programmes and policies to prevent childhood obesity and BMI in children: the Healthy Communities Study

Summary Background Although a national epidemic of childhood obesity is apparent, how community‐based programmes and policies (CPPs) affect this outcome is not well understood. Objectives This study examined the longitudinal relationship between the intensity of CPPs in 130 communities over 10 years...

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Veröffentlicht in:Pediatric obesity 2018-10, Vol.13 (S1), p.82-92
Hauptverfasser: Strauss, W. J., Nagaraja, J., Landgraf, A. J., Arteaga, S. S., Fawcett, S. B., Ritchie, L. D., John, L. V., Gregoriou, M., Frongillo, E. A., Loria, C. M., Weber, S. A., Collie‐Akers, V. L., McIver, K. L., Schultz, J., Sagatov, R. D. F., Leifer, E. S., Webb, K., Pate, R. R.
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container_end_page 92
container_issue S1
container_start_page 82
container_title Pediatric obesity
container_volume 13
creator Strauss, W. J.
Nagaraja, J.
Landgraf, A. J.
Arteaga, S. S.
Fawcett, S. B.
Ritchie, L. D.
John, L. V.
Gregoriou, M.
Frongillo, E. A.
Loria, C. M.
Weber, S. A.
Collie‐Akers, V. L.
McIver, K. L.
Schultz, J.
Sagatov, R. D. F.
Leifer, E. S.
Webb, K.
Pate, R. R.
description Summary Background Although a national epidemic of childhood obesity is apparent, how community‐based programmes and policies (CPPs) affect this outcome is not well understood. Objectives This study examined the longitudinal relationship between the intensity of CPPs in 130 communities over 10 years and body mass index (BMI) of resident children. We also examined whether these relationships differ by key family or community characteristics. Methods Five thousand one hundred thirty‐eight children in grades K‐8 were recruited through 436 schools located within 130 diverse US communities. Measures of height, weight, nutrition, physical activity and behavioural and demographic family characteristics were obtained during in‐home visits. A subsample of families consented to medical record review; these weight and height measures were used to calculate BMI over time for 3227 children. A total of 9681 CPPs were reported during structured interviews of 1421 community key informants, and used to calculate a time series of CPP intensity scores within each community over the previous decade. Linear mixed effect models were used to assess longitudinal relationships between childhood BMI and CPP intensity. Results An average BMI difference of 1.4 kg/m2 (p‐value 
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J. ; Nagaraja, J. ; Landgraf, A. J. ; Arteaga, S. S. ; Fawcett, S. B. ; Ritchie, L. D. ; John, L. V. ; Gregoriou, M. ; Frongillo, E. A. ; Loria, C. M. ; Weber, S. A. ; Collie‐Akers, V. L. ; McIver, K. L. ; Schultz, J. ; Sagatov, R. D. F. ; Leifer, E. S. ; Webb, K. ; Pate, R. R.</creator><creatorcontrib>Strauss, W. J. ; Nagaraja, J. ; Landgraf, A. J. ; Arteaga, S. S. ; Fawcett, S. B. ; Ritchie, L. D. ; John, L. V. ; Gregoriou, M. ; Frongillo, E. A. ; Loria, C. M. ; Weber, S. A. ; Collie‐Akers, V. L. ; McIver, K. L. ; Schultz, J. ; Sagatov, R. D. F. ; Leifer, E. S. ; Webb, K. ; Pate, R. R. ; Healthy Communities Study Team ; on behalf of the Healthy Communities Study Team</creatorcontrib><description>Summary Background Although a national epidemic of childhood obesity is apparent, how community‐based programmes and policies (CPPs) affect this outcome is not well understood. Objectives This study examined the longitudinal relationship between the intensity of CPPs in 130 communities over 10 years and body mass index (BMI) of resident children. We also examined whether these relationships differ by key family or community characteristics. Methods Five thousand one hundred thirty‐eight children in grades K‐8 were recruited through 436 schools located within 130 diverse US communities. Measures of height, weight, nutrition, physical activity and behavioural and demographic family characteristics were obtained during in‐home visits. A subsample of families consented to medical record review; these weight and height measures were used to calculate BMI over time for 3227 children. A total of 9681 CPPs were reported during structured interviews of 1421 community key informants, and used to calculate a time series of CPP intensity scores within each community over the previous decade. Linear mixed effect models were used to assess longitudinal relationships between childhood BMI and CPP intensity. Results An average BMI difference of 1.4 kg/m2 (p‐value &lt; 0.01) was observed between communities with the highest and lowest observed CPP intensity scores, after adjusting for community and child level covariates. BMI/CPP relationships differed significantly by child grade, race/ethnicity, family income and parental education; as well as community‐level race/ethnicity. Conclusions These results indicate that, over time, more intense CPP interventions are related to lower childhood BMI, and that there are disparities in this association by sociodemographic characteristics of families and communities. This article is part of the upcoming supplement: The Healthy Communities Study: Examining Community Programs, Policies and Other Characteristics in Relation to Child Weight, Diet, and Physical Activity.</description><identifier>ISSN: 2047-6302</identifier><identifier>EISSN: 2047-6310</identifier><identifier>DOI: 10.1111/ijpo.12266</identifier><identifier>PMID: 29493122</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject><![CDATA[Body Mass Index ; Body Weight ; Child ; Child, Preschool ; Childhood ; Children & youth ; Childrens health ; Community ; community programmes and policies ; Exercise ; Family Characteristics ; Female ; Health disparities ; Healthcare Disparities - statistics & numerical data ; Humans ; longitudinal ; Longitudinal Studies ; Male ; Obesity ; Pediatric Obesity - epidemiology ; Pediatric Obesity - prevention & control ; Pediatrics ; Prevention ; Preventive Health Services - statistics & numerical data ; Public Health - statistics & numerical data ; Schools - statistics & numerical data ; United States - epidemiology]]></subject><ispartof>Pediatric obesity, 2018-10, Vol.13 (S1), p.82-92</ispartof><rights>2018 World Obesity Federation</rights><rights>2018 World Obesity Federation.</rights><rights>2018 The Authors. Pediatric Obesity © 2018 International Association for the Study of Obesity</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3936-e0e5a715656c3d73900eaa5dcc1738444b0626b2a5f4ef124656691906295f853</citedby><cites>FETCH-LOGICAL-c3936-e0e5a715656c3d73900eaa5dcc1738444b0626b2a5f4ef124656691906295f853</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fijpo.12266$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fijpo.12266$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29493122$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Strauss, W. J.</creatorcontrib><creatorcontrib>Nagaraja, J.</creatorcontrib><creatorcontrib>Landgraf, A. J.</creatorcontrib><creatorcontrib>Arteaga, S. S.</creatorcontrib><creatorcontrib>Fawcett, S. B.</creatorcontrib><creatorcontrib>Ritchie, L. D.</creatorcontrib><creatorcontrib>John, L. V.</creatorcontrib><creatorcontrib>Gregoriou, M.</creatorcontrib><creatorcontrib>Frongillo, E. A.</creatorcontrib><creatorcontrib>Loria, C. M.</creatorcontrib><creatorcontrib>Weber, S. A.</creatorcontrib><creatorcontrib>Collie‐Akers, V. L.</creatorcontrib><creatorcontrib>McIver, K. L.</creatorcontrib><creatorcontrib>Schultz, J.</creatorcontrib><creatorcontrib>Sagatov, R. D. F.</creatorcontrib><creatorcontrib>Leifer, E. S.</creatorcontrib><creatorcontrib>Webb, K.</creatorcontrib><creatorcontrib>Pate, R. R.</creatorcontrib><creatorcontrib>Healthy Communities Study Team</creatorcontrib><creatorcontrib>on behalf of the Healthy Communities Study Team</creatorcontrib><title>The longitudinal relationship between community programmes and policies to prevent childhood obesity and BMI in children: the Healthy Communities Study</title><title>Pediatric obesity</title><addtitle>Pediatr Obes</addtitle><description>Summary Background Although a national epidemic of childhood obesity is apparent, how community‐based programmes and policies (CPPs) affect this outcome is not well understood. Objectives This study examined the longitudinal relationship between the intensity of CPPs in 130 communities over 10 years and body mass index (BMI) of resident children. We also examined whether these relationships differ by key family or community characteristics. Methods Five thousand one hundred thirty‐eight children in grades K‐8 were recruited through 436 schools located within 130 diverse US communities. Measures of height, weight, nutrition, physical activity and behavioural and demographic family characteristics were obtained during in‐home visits. A subsample of families consented to medical record review; these weight and height measures were used to calculate BMI over time for 3227 children. A total of 9681 CPPs were reported during structured interviews of 1421 community key informants, and used to calculate a time series of CPP intensity scores within each community over the previous decade. Linear mixed effect models were used to assess longitudinal relationships between childhood BMI and CPP intensity. Results An average BMI difference of 1.4 kg/m2 (p‐value &lt; 0.01) was observed between communities with the highest and lowest observed CPP intensity scores, after adjusting for community and child level covariates. BMI/CPP relationships differed significantly by child grade, race/ethnicity, family income and parental education; as well as community‐level race/ethnicity. Conclusions These results indicate that, over time, more intense CPP interventions are related to lower childhood BMI, and that there are disparities in this association by sociodemographic characteristics of families and communities. 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J.</creator><creator>Nagaraja, J.</creator><creator>Landgraf, A. J.</creator><creator>Arteaga, S. S.</creator><creator>Fawcett, S. B.</creator><creator>Ritchie, L. D.</creator><creator>John, L. V.</creator><creator>Gregoriou, M.</creator><creator>Frongillo, E. A.</creator><creator>Loria, C. M.</creator><creator>Weber, S. A.</creator><creator>Collie‐Akers, V. L.</creator><creator>McIver, K. L.</creator><creator>Schultz, J.</creator><creator>Sagatov, R. D. F.</creator><creator>Leifer, E. S.</creator><creator>Webb, K.</creator><creator>Pate, R. R.</creator><general>Wiley Subscription Services, Inc</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>K9.</scope><scope>7X8</scope></search><sort><creationdate>201810</creationdate><title>The longitudinal relationship between community programmes and policies to prevent childhood obesity and BMI in children: the Healthy Communities Study</title><author>Strauss, W. J. ; Nagaraja, J. ; Landgraf, A. J. ; Arteaga, S. S. ; Fawcett, S. B. ; Ritchie, L. D. ; John, L. V. ; Gregoriou, M. ; Frongillo, E. A. ; Loria, C. M. ; Weber, S. A. ; Collie‐Akers, V. L. ; McIver, K. L. ; Schultz, J. ; Sagatov, R. D. F. ; Leifer, E. S. ; Webb, K. ; Pate, R. 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J.</creatorcontrib><creatorcontrib>Nagaraja, J.</creatorcontrib><creatorcontrib>Landgraf, A. J.</creatorcontrib><creatorcontrib>Arteaga, S. S.</creatorcontrib><creatorcontrib>Fawcett, S. B.</creatorcontrib><creatorcontrib>Ritchie, L. D.</creatorcontrib><creatorcontrib>John, L. V.</creatorcontrib><creatorcontrib>Gregoriou, M.</creatorcontrib><creatorcontrib>Frongillo, E. A.</creatorcontrib><creatorcontrib>Loria, C. M.</creatorcontrib><creatorcontrib>Weber, S. A.</creatorcontrib><creatorcontrib>Collie‐Akers, V. L.</creatorcontrib><creatorcontrib>McIver, K. L.</creatorcontrib><creatorcontrib>Schultz, J.</creatorcontrib><creatorcontrib>Sagatov, R. D. F.</creatorcontrib><creatorcontrib>Leifer, E. S.</creatorcontrib><creatorcontrib>Webb, K.</creatorcontrib><creatorcontrib>Pate, R. R.</creatorcontrib><creatorcontrib>Healthy Communities Study Team</creatorcontrib><creatorcontrib>on behalf of the Healthy Communities Study Team</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 Health &amp; Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Pediatric obesity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Strauss, W. J.</au><au>Nagaraja, J.</au><au>Landgraf, A. J.</au><au>Arteaga, S. S.</au><au>Fawcett, S. B.</au><au>Ritchie, L. D.</au><au>John, L. V.</au><au>Gregoriou, M.</au><au>Frongillo, E. A.</au><au>Loria, C. M.</au><au>Weber, S. A.</au><au>Collie‐Akers, V. L.</au><au>McIver, K. L.</au><au>Schultz, J.</au><au>Sagatov, R. D. F.</au><au>Leifer, E. S.</au><au>Webb, K.</au><au>Pate, R. R.</au><aucorp>Healthy Communities Study Team</aucorp><aucorp>on behalf of the Healthy Communities Study Team</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The longitudinal relationship between community programmes and policies to prevent childhood obesity and BMI in children: the Healthy Communities Study</atitle><jtitle>Pediatric obesity</jtitle><addtitle>Pediatr Obes</addtitle><date>2018-10</date><risdate>2018</risdate><volume>13</volume><issue>S1</issue><spage>82</spage><epage>92</epage><pages>82-92</pages><issn>2047-6302</issn><eissn>2047-6310</eissn><abstract>Summary Background Although a national epidemic of childhood obesity is apparent, how community‐based programmes and policies (CPPs) affect this outcome is not well understood. Objectives This study examined the longitudinal relationship between the intensity of CPPs in 130 communities over 10 years and body mass index (BMI) of resident children. We also examined whether these relationships differ by key family or community characteristics. Methods Five thousand one hundred thirty‐eight children in grades K‐8 were recruited through 436 schools located within 130 diverse US communities. Measures of height, weight, nutrition, physical activity and behavioural and demographic family characteristics were obtained during in‐home visits. A subsample of families consented to medical record review; these weight and height measures were used to calculate BMI over time for 3227 children. A total of 9681 CPPs were reported during structured interviews of 1421 community key informants, and used to calculate a time series of CPP intensity scores within each community over the previous decade. Linear mixed effect models were used to assess longitudinal relationships between childhood BMI and CPP intensity. Results An average BMI difference of 1.4 kg/m2 (p‐value &lt; 0.01) was observed between communities with the highest and lowest observed CPP intensity scores, after adjusting for community and child level covariates. BMI/CPP relationships differed significantly by child grade, race/ethnicity, family income and parental education; as well as community‐level race/ethnicity. Conclusions These results indicate that, over time, more intense CPP interventions are related to lower childhood BMI, and that there are disparities in this association by sociodemographic characteristics of families and communities. This article is part of the upcoming supplement: The Healthy Communities Study: Examining Community Programs, Policies and Other Characteristics in Relation to Child Weight, Diet, and Physical Activity.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>29493122</pmid><doi>10.1111/ijpo.12266</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record>
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subjects Body Mass Index
Body Weight
Child
Child, Preschool
Childhood
Children & youth
Childrens health
Community
community programmes and policies
Exercise
Family Characteristics
Female
Health disparities
Healthcare Disparities - statistics & numerical data
Humans
longitudinal
Longitudinal Studies
Male
Obesity
Pediatric Obesity - epidemiology
Pediatric Obesity - prevention & control
Pediatrics
Prevention
Preventive Health Services - statistics & numerical data
Public Health - statistics & numerical data
Schools - statistics & numerical data
United States - epidemiology
title The longitudinal relationship between community programmes and policies to prevent childhood obesity and BMI in children: the Healthy Communities Study
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