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Developing a Statewide Childhood Body Mass Index Surveillance Program
ABSTRACT BACKGROUND Several states have implemented childhood obesity surveillance programs supported by legislation. Representatives from Idaho wished to develop a model for childhood obesity surveillance without the support of state legislation, and subsequently report predictors of overweight and...
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| Published in: | The Journal of school health 2014-10, Vol.84 (10), p.661-667 |
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| Main Authors: | , , , , , , , , , |
| Format: | Article |
| Language: | English |
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| cites | cdi_FETCH-LOGICAL-c4884-7c31bafa878a6a60251e25dd158350860188b3cfa4009f71c7ebc65e0a802eb73 |
| container_end_page | 667 |
| container_issue | 10 |
| container_start_page | 661 |
| container_title | The Journal of school health |
| container_volume | 84 |
| creator | Paul, David R. Scruggs, Philip W. Goc Karp, Grace Ransdell, Lynda B. Robinson, Clay Lester, Michael J. Gao, Yong Petranek, Laura J. Brown, Helen Shimon, Jane M. |
| description | ABSTRACT
BACKGROUND
Several states have implemented childhood obesity surveillance programs supported by legislation. Representatives from Idaho wished to develop a model for childhood obesity surveillance without the support of state legislation, and subsequently report predictors of overweight and obesity in the state.
METHODS
A coalition comprised of the Idaho State Department of Education and 4 universities identified a randomized cluster sample of schools. After obtaining school administrator consent, measurement teams traveled to each school to measure height and weight of students. Sex and race/ethnicity data were also collected.
RESULTS
The collaboration between the universities resulted in a sample of 6735 students from 48 schools and 36 communities. Overall, 29.2% of the youth in the sample were classified as overweight or obese, ranging from 24.0% for grade 1 to 33.8% for grade 5. The prevalence of overweight and obesity across schools was highly variable (31.2 ± 7.58%). Hierarchical logistic regression indicated that sex, age, race/ethnicity, socioeconomic status, and region were all significant predictors of overweight and obesity, whereas school was not.
CONCLUSIONS
This coalition enabled the state of Idaho to successfully estimate the prevalence of overweight and obesity on a representative sample of children from all regions of the state, and subsequently identify populations at greatest risk. |
| doi_str_mv | 10.1111/josh.12194 |
| format | article |
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BACKGROUND
Several states have implemented childhood obesity surveillance programs supported by legislation. Representatives from Idaho wished to develop a model for childhood obesity surveillance without the support of state legislation, and subsequently report predictors of overweight and obesity in the state.
METHODS
A coalition comprised of the Idaho State Department of Education and 4 universities identified a randomized cluster sample of schools. After obtaining school administrator consent, measurement teams traveled to each school to measure height and weight of students. Sex and race/ethnicity data were also collected.
RESULTS
The collaboration between the universities resulted in a sample of 6735 students from 48 schools and 36 communities. Overall, 29.2% of the youth in the sample were classified as overweight or obese, ranging from 24.0% for grade 1 to 33.8% for grade 5. The prevalence of overweight and obesity across schools was highly variable (31.2 ± 7.58%). Hierarchical logistic regression indicated that sex, age, race/ethnicity, socioeconomic status, and region were all significant predictors of overweight and obesity, whereas school was not.
CONCLUSIONS
This coalition enabled the state of Idaho to successfully estimate the prevalence of overweight and obesity on a representative sample of children from all regions of the state, and subsequently identify populations at greatest risk.</description><identifier>ISSN: 0022-4391</identifier><identifier>EISSN: 1746-1561</identifier><identifier>DOI: 10.1111/josh.12194</identifier><identifier>PMID: 25154530</identifier><identifier>CODEN: JSHEAZ</identifier><language>eng</language><publisher>Malden, USA: Wiley Periodicals, Inc</publisher><subject>Adolescent ; Age Differences ; Body Composition ; Body Height ; Body Mass Index ; Body Weight ; Body Weights and Measures ; Child ; Child Health ; Childhood obesity ; Children & youth ; College School Cooperation ; Colleges ; Cooperative Planning ; Elementary School Students ; Ethnic Groups ; Female ; Gender Differences ; Geographic Location ; Grade 1 ; Grade 2 ; Grade 3 ; Grade 4 ; Grade 5 ; Health aspects ; Humans ; Idaho ; Idaho - epidemiology ; Male ; Nursing ; Obesity ; Obesity in children ; Overweight - epidemiology ; Pediatric Obesity - epidemiology ; Predictor Variables ; Prevalence ; Racial Differences ; Regression (Statistics) ; Risk factors ; Schools ; Screening Tests ; Sentinel Surveillance ; Sex Factors ; Socioeconomic Factors ; Socioeconomic Status ; State Departments of Education ; State laws ; surveillance ; Test Construction ; Universities</subject><ispartof>The Journal of school health, 2014-10, Vol.84 (10), p.661-667</ispartof><rights>2014, American School Health Association</rights><rights>2014, American School Health Association.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4884-7c31bafa878a6a60251e25dd158350860188b3cfa4009f71c7ebc65e0a802eb73</citedby><cites>FETCH-LOGICAL-c4884-7c31bafa878a6a60251e25dd158350860188b3cfa4009f71c7ebc65e0a802eb73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904,30978</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ1036852$$DView record in ERIC$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25154530$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Paul, David R.</creatorcontrib><creatorcontrib>Scruggs, Philip W.</creatorcontrib><creatorcontrib>Goc Karp, Grace</creatorcontrib><creatorcontrib>Ransdell, Lynda B.</creatorcontrib><creatorcontrib>Robinson, Clay</creatorcontrib><creatorcontrib>Lester, Michael J.</creatorcontrib><creatorcontrib>Gao, Yong</creatorcontrib><creatorcontrib>Petranek, Laura J.</creatorcontrib><creatorcontrib>Brown, Helen</creatorcontrib><creatorcontrib>Shimon, Jane M.</creatorcontrib><title>Developing a Statewide Childhood Body Mass Index Surveillance Program</title><title>The Journal of school health</title><addtitle>J School Health</addtitle><description>ABSTRACT
BACKGROUND
Several states have implemented childhood obesity surveillance programs supported by legislation. Representatives from Idaho wished to develop a model for childhood obesity surveillance without the support of state legislation, and subsequently report predictors of overweight and obesity in the state.
METHODS
A coalition comprised of the Idaho State Department of Education and 4 universities identified a randomized cluster sample of schools. After obtaining school administrator consent, measurement teams traveled to each school to measure height and weight of students. Sex and race/ethnicity data were also collected.
RESULTS
The collaboration between the universities resulted in a sample of 6735 students from 48 schools and 36 communities. Overall, 29.2% of the youth in the sample were classified as overweight or obese, ranging from 24.0% for grade 1 to 33.8% for grade 5. The prevalence of overweight and obesity across schools was highly variable (31.2 ± 7.58%). Hierarchical logistic regression indicated that sex, age, race/ethnicity, socioeconomic status, and region were all significant predictors of overweight and obesity, whereas school was not.
CONCLUSIONS
This coalition enabled the state of Idaho to successfully estimate the prevalence of overweight and obesity on a representative sample of children from all regions of the state, and subsequently identify populations at greatest risk.</description><subject>Adolescent</subject><subject>Age Differences</subject><subject>Body Composition</subject><subject>Body Height</subject><subject>Body Mass Index</subject><subject>Body Weight</subject><subject>Body Weights and Measures</subject><subject>Child</subject><subject>Child Health</subject><subject>Childhood obesity</subject><subject>Children & youth</subject><subject>College School Cooperation</subject><subject>Colleges</subject><subject>Cooperative Planning</subject><subject>Elementary School Students</subject><subject>Ethnic Groups</subject><subject>Female</subject><subject>Gender Differences</subject><subject>Geographic Location</subject><subject>Grade 1</subject><subject>Grade 2</subject><subject>Grade 3</subject><subject>Grade 4</subject><subject>Grade 5</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Idaho</subject><subject>Idaho - epidemiology</subject><subject>Male</subject><subject>Nursing</subject><subject>Obesity</subject><subject>Obesity in children</subject><subject>Overweight - epidemiology</subject><subject>Pediatric Obesity - epidemiology</subject><subject>Predictor Variables</subject><subject>Prevalence</subject><subject>Racial Differences</subject><subject>Regression (Statistics)</subject><subject>Risk factors</subject><subject>Schools</subject><subject>Screening Tests</subject><subject>Sentinel Surveillance</subject><subject>Sex Factors</subject><subject>Socioeconomic Factors</subject><subject>Socioeconomic Status</subject><subject>State Departments of Education</subject><subject>State laws</subject><subject>surveillance</subject><subject>Test Construction</subject><subject>Universities</subject><issn>0022-4391</issn><issn>1746-1561</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>7SW</sourceid><sourceid>7QJ</sourceid><recordid>eNqNks9v0zAUxyMEYt3gwh0UicuElGHHP3scoVtXDYpUENwsx3ltXdK42Mm2_vc4pOuBA-JdfHgf-32_7-skeYXRBY71fuPC-gLneEyfJCMsKM8w4_hpMkIozzNKxvgkOQ1hg2IJIp4nJznDjDKCRsnkI9xB7Xa2WaU6XbS6hXtbQVqsbV2tnavSD67ap590COlNU8FDuuj8Hdi61o2B9It3K6-3L5JnS10HeHk4z5JvV5OvxTS7nV_fFJe3maFS0kwYgku91FJIzTVHUQbkrKowk4QhyRGWsiRmqSlC46XARkBpOAOkJcqhFOQsOR_e3Xn3q4PQqq0NBnox4Lqgou-ccyYI_Q-UCSTzuIWIvv0L3bjON9FITzEpOMF5pLKBWukalG2Ma1p4aI2ra1iBij6LubokcoyJEJxH_t3AG-9C8LBUO2-32u8VRqrPTfW5qT-5RfjNQUJXbqE6oo9BReD1AIC35tiezDAiXLJeHR7697aG_T9Gqdl8MX0cenBkQ3RyvKP9T8XjP2Hq--drdTUt6IzKXP0gvwHuF7dU</recordid><startdate>201410</startdate><enddate>201410</enddate><creator>Paul, David R.</creator><creator>Scruggs, Philip W.</creator><creator>Goc Karp, Grace</creator><creator>Ransdell, Lynda B.</creator><creator>Robinson, Clay</creator><creator>Lester, Michael J.</creator><creator>Gao, Yong</creator><creator>Petranek, Laura J.</creator><creator>Brown, Helen</creator><creator>Shimon, Jane M.</creator><general>Wiley Periodicals, Inc</general><general>Wiley-Blackwell</general><general>American School Health Association</general><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><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>7QJ</scope><scope>7TS</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>7U1</scope><scope>7U2</scope><scope>C1K</scope></search><sort><creationdate>201410</creationdate><title>Developing a Statewide Childhood Body Mass Index Surveillance Program</title><author>Paul, David R. ; Scruggs, Philip W. ; Goc Karp, Grace ; Ransdell, Lynda B. ; Robinson, Clay ; Lester, Michael J. ; Gao, Yong ; Petranek, Laura J. ; Brown, Helen ; Shimon, Jane M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4884-7c31bafa878a6a60251e25dd158350860188b3cfa4009f71c7ebc65e0a802eb73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adolescent</topic><topic>Age Differences</topic><topic>Body Composition</topic><topic>Body Height</topic><topic>Body Mass Index</topic><topic>Body Weight</topic><topic>Body Weights and Measures</topic><topic>Child</topic><topic>Child Health</topic><topic>Childhood obesity</topic><topic>Children & youth</topic><topic>College School Cooperation</topic><topic>Colleges</topic><topic>Cooperative Planning</topic><topic>Elementary School Students</topic><topic>Ethnic Groups</topic><topic>Female</topic><topic>Gender Differences</topic><topic>Geographic Location</topic><topic>Grade 1</topic><topic>Grade 2</topic><topic>Grade 3</topic><topic>Grade 4</topic><topic>Grade 5</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Idaho</topic><topic>Idaho - epidemiology</topic><topic>Male</topic><topic>Nursing</topic><topic>Obesity</topic><topic>Obesity in children</topic><topic>Overweight - epidemiology</topic><topic>Pediatric Obesity - epidemiology</topic><topic>Predictor Variables</topic><topic>Prevalence</topic><topic>Racial Differences</topic><topic>Regression (Statistics)</topic><topic>Risk factors</topic><topic>Schools</topic><topic>Screening Tests</topic><topic>Sentinel Surveillance</topic><topic>Sex Factors</topic><topic>Socioeconomic Factors</topic><topic>Socioeconomic Status</topic><topic>State Departments of Education</topic><topic>State laws</topic><topic>surveillance</topic><topic>Test Construction</topic><topic>Universities</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Paul, David R.</creatorcontrib><creatorcontrib>Scruggs, Philip W.</creatorcontrib><creatorcontrib>Goc Karp, Grace</creatorcontrib><creatorcontrib>Ransdell, Lynda B.</creatorcontrib><creatorcontrib>Robinson, Clay</creatorcontrib><creatorcontrib>Lester, Michael J.</creatorcontrib><creatorcontrib>Gao, Yong</creatorcontrib><creatorcontrib>Petranek, Laura J.</creatorcontrib><creatorcontrib>Brown, Helen</creatorcontrib><creatorcontrib>Shimon, Jane M.</creatorcontrib><collection>Istex</collection><collection>ERIC</collection><collection>ERIC (Ovid)</collection><collection>ERIC</collection><collection>ERIC</collection><collection>ERIC (Legacy Platform)</collection><collection>ERIC( SilverPlatter )</collection><collection>ERIC</collection><collection>ERIC PlusText (Legacy Platform)</collection><collection>Education Resources Information Center (ERIC)</collection><collection>ERIC</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Physical Education Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>The Journal of school health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Paul, David R.</au><au>Scruggs, Philip W.</au><au>Goc Karp, Grace</au><au>Ransdell, Lynda B.</au><au>Robinson, Clay</au><au>Lester, Michael J.</au><au>Gao, Yong</au><au>Petranek, Laura J.</au><au>Brown, Helen</au><au>Shimon, Jane M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1036852</ericid><atitle>Developing a Statewide Childhood Body Mass Index Surveillance Program</atitle><jtitle>The Journal of school health</jtitle><addtitle>J School Health</addtitle><date>2014-10</date><risdate>2014</risdate><volume>84</volume><issue>10</issue><spage>661</spage><epage>667</epage><pages>661-667</pages><issn>0022-4391</issn><eissn>1746-1561</eissn><coden>JSHEAZ</coden><abstract>ABSTRACT
BACKGROUND
Several states have implemented childhood obesity surveillance programs supported by legislation. Representatives from Idaho wished to develop a model for childhood obesity surveillance without the support of state legislation, and subsequently report predictors of overweight and obesity in the state.
METHODS
A coalition comprised of the Idaho State Department of Education and 4 universities identified a randomized cluster sample of schools. After obtaining school administrator consent, measurement teams traveled to each school to measure height and weight of students. Sex and race/ethnicity data were also collected.
RESULTS
The collaboration between the universities resulted in a sample of 6735 students from 48 schools and 36 communities. Overall, 29.2% of the youth in the sample were classified as overweight or obese, ranging from 24.0% for grade 1 to 33.8% for grade 5. The prevalence of overweight and obesity across schools was highly variable (31.2 ± 7.58%). Hierarchical logistic regression indicated that sex, age, race/ethnicity, socioeconomic status, and region were all significant predictors of overweight and obesity, whereas school was not.
CONCLUSIONS
This coalition enabled the state of Idaho to successfully estimate the prevalence of overweight and obesity on a representative sample of children from all regions of the state, and subsequently identify populations at greatest risk.</abstract><cop>Malden, USA</cop><pub>Wiley Periodicals, Inc</pub><pmid>25154530</pmid><doi>10.1111/josh.12194</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0022-4391 |
| ispartof | The Journal of school health, 2014-10, Vol.84 (10), p.661-667 |
| issn | 0022-4391 1746-1561 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1562665734 |
| source | Applied Social Sciences Index & Abstracts (ASSIA); Wiley-Blackwell Read & Publish Collection; ERIC |
| subjects | Adolescent Age Differences Body Composition Body Height Body Mass Index Body Weight Body Weights and Measures Child Child Health Childhood obesity Children & youth College School Cooperation Colleges Cooperative Planning Elementary School Students Ethnic Groups Female Gender Differences Geographic Location Grade 1 Grade 2 Grade 3 Grade 4 Grade 5 Health aspects Humans Idaho Idaho - epidemiology Male Nursing Obesity Obesity in children Overweight - epidemiology Pediatric Obesity - epidemiology Predictor Variables Prevalence Racial Differences Regression (Statistics) Risk factors Schools Screening Tests Sentinel Surveillance Sex Factors Socioeconomic Factors Socioeconomic Status State Departments of Education State laws surveillance Test Construction Universities |
| title | Developing a Statewide Childhood Body Mass Index Surveillance Program |
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