Risk factors for obesity at age 3 in Alaskan children, including the role of beverage consumption: results from Alaska PRAMS 2005-2006 and its three-year follow-up survey, CUBS, 2008-2009
Prenatal and early life risk factors are associated with childhood obesity. Alaska Native children have one of the highest prevalences of childhood obesity of all US racial/ethnic groups. Using the Pregnancy Risk Assessment Monitoring System (PRAMS) and the follow-up survey at 3 years of age (CUBS),...
Gespeichert in:
Veröffentlicht in: | PloS one 2015-03, Vol.10 (3), p.e0118711-e0118711 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e0118711 |
---|---|
container_issue | 3 |
container_start_page | e0118711 |
container_title | PloS one |
container_volume | 10 |
creator | Wojcicki, Janet M Young, Margaret B Perham-Hester, Katherine A de Schweinitz, Peter Gessner, Bradford D |
description | Prenatal and early life risk factors are associated with childhood obesity. Alaska Native children have one of the highest prevalences of childhood obesity of all US racial/ethnic groups.
Using the Pregnancy Risk Assessment Monitoring System (PRAMS) and the follow-up survey at 3 years of age (CUBS), we evaluated health, behavioral, lifestyle and nutritional variables in relation to obesity (95th percentile for body mass index (BMI)) at 3 years of age. Multivariate logistic regression modeling was conducted using Stata 12.0 to evaluate independent risk factors for obesity in non-Native and Alaska Native children.
We found an obesity prevalence of 24.9% in all Alaskan and 42.2% in Alaska Native 3 year olds. Among Alaska Native children, obesity prevalence was highest in the Northern/Southwest part of the state (51.6%, 95%CI (42.6-60.5)). Independent predictive factors for obesity at age 3 years in Alaska non-Native children were low income ( |
doi_str_mv | 10.1371/journal.pone.0118711 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1664931104</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A423859207</galeid><doaj_id>oai_doaj_org_article_9e7adacd47a941049c6d6d03ae03cebd</doaj_id><sourcerecordid>A423859207</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-ac040ac70a7d3651d18de5fab5e0cafb5df1f036afa0fc14f131142af382a9b3</originalsourceid><addsrcrecordid>eNqNk99qFDEUxgdRrFbfQDQgiEJnTSazmR0vhLX4p1CptNXbcCY52U2bnazJTHWfzZcz005LV3ohA5lw8vu-nJzkZNkzRieMV-ztme9DC26y9i1OKGOzirF72SNW8yIXBeX3b813sscxnlE65TMhHmY7xbSqecnYo-zPsY3nxIDqfIjE-EB8g9F2GwIdgQUSTmxL5g7iObRELa3TAdu9FFSu17ZdkG6JJHiHxBvS4AWGQaV8G_vVurO-fUcCxt51yT341WhFvh3Pv56QIqWUp0EQaDWxiemWATHfIISUjHP-V96vSezDBW72yP73Dyd7g2g2iOon2QMDLuLT8b-bnX76eLr_JT88-nywPz_MlaiLLgdFSwqqolBpLqZMs5nGqYFmilSBaabaMEO5AAPUKFYaxhkrCzB8VkDd8N3sxZXt2vkox7JHyYQo60TSMhEHV4T2cCbXwa4gbKQHKy8DPiwkhM4qh7LGCjQoXVZQl0lbK6GFphyQcoWNTl7vx936ZoVaYdsFcFum2yutXcqFv5AlF-lyaTJ4PRoE_7PH2MmVjQqdgxZ9f5m3KGpelyKhL_9B7z7dSC0gHcC2xqd91WAq52XBZ9O6oFWiJndQ6dO4suk5oLEpviV4syVITIe_uwX0McqDk-P_Z49-bLOvbrFLBNcto3f98BbjNlhegSr4GAOamyIzKocWu66GHFpMji2WZM9vX9CN6Lqn-F_mTiBg</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1664931104</pqid></control><display><type>article</type><title>Risk factors for obesity at age 3 in Alaskan children, including the role of beverage consumption: results from Alaska PRAMS 2005-2006 and its three-year follow-up survey, CUBS, 2008-2009</title><source>Public Library of Science (PLoS) Journals Open Access</source><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Sociological Abstracts</source><creator>Wojcicki, Janet M ; Young, Margaret B ; Perham-Hester, Katherine A ; de Schweinitz, Peter ; Gessner, Bradford D</creator><contributor>Meyre, David</contributor><creatorcontrib>Wojcicki, Janet M ; Young, Margaret B ; Perham-Hester, Katherine A ; de Schweinitz, Peter ; Gessner, Bradford D ; Meyre, David</creatorcontrib><description>Prenatal and early life risk factors are associated with childhood obesity. Alaska Native children have one of the highest prevalences of childhood obesity of all US racial/ethnic groups.
Using the Pregnancy Risk Assessment Monitoring System (PRAMS) and the follow-up survey at 3 years of age (CUBS), we evaluated health, behavioral, lifestyle and nutritional variables in relation to obesity (95th percentile for body mass index (BMI)) at 3 years of age. Multivariate logistic regression modeling was conducted using Stata 12.0 to evaluate independent risk factors for obesity in non-Native and Alaska Native children.
We found an obesity prevalence of 24.9% in all Alaskan and 42.2% in Alaska Native 3 year olds. Among Alaska Native children, obesity prevalence was highest in the Northern/Southwest part of the state (51.6%, 95%CI (42.6-60.5)). Independent predictive factors for obesity at age 3 years in Alaska non-Native children were low income (<$10,000 in the year before the child was born (OR 3.94, 95%CI 1.22--17.03) and maternal pre-pregnancy obesity (OR 2.01, 95%CI 1.01-4.01) and longer duration of breastfeeding was protective (OR 0.95, 95%CI 0.91-0.995). Among Alaska Native children, predictive factors were witnessing domestic violence/abuse as a 3 year-old (OR 2.28, 95%CI 1.17-7.60). Among obese Alaska Native children, there was an increased daily consumption of energy dense beverages in the Northern/Southwest region of the state, which may explain higher rates of obesity in this part of the state.
The high prevalence of obesity in Alaska Native children may be explained by differences in lifestyle patterns and food consumption in certain parts of the state, specifically the Northern/Southwest region, which have higher consumption of energy dense beverages.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0118711</identifier><identifier>PMID: 25793411</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Abuse ; Age ; Aggression ; Alaska - epidemiology ; Beverages ; Bias ; Birth order ; Body mass ; Body mass index ; Body size ; Body weight ; Breast feeding ; Breastfeeding & lactation ; Child health ; Child, Preschool ; Childhood ; Childhood obesity ; Children ; Children & youth ; Childrens health ; Consumption ; Demography ; Diet ; Domestic violence ; Energy ; Energy consumption ; Epidemiology ; Ethnic groups ; Female ; Follow-Up Studies ; Food consumption ; Health Surveys ; Humans ; Indians, North American - statistics & numerical data ; Indigenous peoples ; Infant ; Life Style ; Lifestyles ; Logistic Models ; Low income groups ; Maternal & child health ; Minority & ethnic groups ; Monitoring systems ; Multivariate Analysis ; Native North Americans ; Nutrition ; Obesity ; Obesity - epidemiology ; Pediatrics ; Predictions ; Pregnancy ; Public health ; Regions ; Risk analysis ; Risk Assessment ; Risk Factors ; School districts ; Surveys ; Violence ; Womens health</subject><ispartof>PloS one, 2015-03, Vol.10 (3), p.e0118711-e0118711</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Wojcicki 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 Wojcicki et al 2015 Wojcicki et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-ac040ac70a7d3651d18de5fab5e0cafb5df1f036afa0fc14f131142af382a9b3</citedby><cites>FETCH-LOGICAL-c692t-ac040ac70a7d3651d18de5fab5e0cafb5df1f036afa0fc14f131142af382a9b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4368660/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4368660/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27321,27901,27902,33751,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25793411$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Meyre, David</contributor><creatorcontrib>Wojcicki, Janet M</creatorcontrib><creatorcontrib>Young, Margaret B</creatorcontrib><creatorcontrib>Perham-Hester, Katherine A</creatorcontrib><creatorcontrib>de Schweinitz, Peter</creatorcontrib><creatorcontrib>Gessner, Bradford D</creatorcontrib><title>Risk factors for obesity at age 3 in Alaskan children, including the role of beverage consumption: results from Alaska PRAMS 2005-2006 and its three-year follow-up survey, CUBS, 2008-2009</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Prenatal and early life risk factors are associated with childhood obesity. Alaska Native children have one of the highest prevalences of childhood obesity of all US racial/ethnic groups.
Using the Pregnancy Risk Assessment Monitoring System (PRAMS) and the follow-up survey at 3 years of age (CUBS), we evaluated health, behavioral, lifestyle and nutritional variables in relation to obesity (95th percentile for body mass index (BMI)) at 3 years of age. Multivariate logistic regression modeling was conducted using Stata 12.0 to evaluate independent risk factors for obesity in non-Native and Alaska Native children.
We found an obesity prevalence of 24.9% in all Alaskan and 42.2% in Alaska Native 3 year olds. Among Alaska Native children, obesity prevalence was highest in the Northern/Southwest part of the state (51.6%, 95%CI (42.6-60.5)). Independent predictive factors for obesity at age 3 years in Alaska non-Native children were low income (<$10,000 in the year before the child was born (OR 3.94, 95%CI 1.22--17.03) and maternal pre-pregnancy obesity (OR 2.01, 95%CI 1.01-4.01) and longer duration of breastfeeding was protective (OR 0.95, 95%CI 0.91-0.995). Among Alaska Native children, predictive factors were witnessing domestic violence/abuse as a 3 year-old (OR 2.28, 95%CI 1.17-7.60). Among obese Alaska Native children, there was an increased daily consumption of energy dense beverages in the Northern/Southwest region of the state, which may explain higher rates of obesity in this part of the state.
The high prevalence of obesity in Alaska Native children may be explained by differences in lifestyle patterns and food consumption in certain parts of the state, specifically the Northern/Southwest region, which have higher consumption of energy dense beverages.</description><subject>Abuse</subject><subject>Age</subject><subject>Aggression</subject><subject>Alaska - epidemiology</subject><subject>Beverages</subject><subject>Bias</subject><subject>Birth order</subject><subject>Body mass</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Body weight</subject><subject>Breast feeding</subject><subject>Breastfeeding & lactation</subject><subject>Child health</subject><subject>Child, Preschool</subject><subject>Childhood</subject><subject>Childhood obesity</subject><subject>Children</subject><subject>Children & youth</subject><subject>Childrens health</subject><subject>Consumption</subject><subject>Demography</subject><subject>Diet</subject><subject>Domestic violence</subject><subject>Energy</subject><subject>Energy consumption</subject><subject>Epidemiology</subject><subject>Ethnic groups</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Food consumption</subject><subject>Health Surveys</subject><subject>Humans</subject><subject>Indians, North American - statistics & numerical data</subject><subject>Indigenous peoples</subject><subject>Infant</subject><subject>Life Style</subject><subject>Lifestyles</subject><subject>Logistic Models</subject><subject>Low income groups</subject><subject>Maternal & child health</subject><subject>Minority & ethnic groups</subject><subject>Monitoring systems</subject><subject>Multivariate Analysis</subject><subject>Native North Americans</subject><subject>Nutrition</subject><subject>Obesity</subject><subject>Obesity - epidemiology</subject><subject>Pediatrics</subject><subject>Predictions</subject><subject>Pregnancy</subject><subject>Public health</subject><subject>Regions</subject><subject>Risk analysis</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>School districts</subject><subject>Surveys</subject><subject>Violence</subject><subject>Womens health</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>BHHNA</sourceid><sourceid>DOA</sourceid><recordid>eNqNk99qFDEUxgdRrFbfQDQgiEJnTSazmR0vhLX4p1CptNXbcCY52U2bnazJTHWfzZcz005LV3ohA5lw8vu-nJzkZNkzRieMV-ztme9DC26y9i1OKGOzirF72SNW8yIXBeX3b813sscxnlE65TMhHmY7xbSqecnYo-zPsY3nxIDqfIjE-EB8g9F2GwIdgQUSTmxL5g7iObRELa3TAdu9FFSu17ZdkG6JJHiHxBvS4AWGQaV8G_vVurO-fUcCxt51yT341WhFvh3Pv56QIqWUp0EQaDWxiemWATHfIISUjHP-V96vSezDBW72yP73Dyd7g2g2iOon2QMDLuLT8b-bnX76eLr_JT88-nywPz_MlaiLLgdFSwqqolBpLqZMs5nGqYFmilSBaabaMEO5AAPUKFYaxhkrCzB8VkDd8N3sxZXt2vkox7JHyYQo60TSMhEHV4T2cCbXwa4gbKQHKy8DPiwkhM4qh7LGCjQoXVZQl0lbK6GFphyQcoWNTl7vx936ZoVaYdsFcFum2yutXcqFv5AlF-lyaTJ4PRoE_7PH2MmVjQqdgxZ9f5m3KGpelyKhL_9B7z7dSC0gHcC2xqd91WAq52XBZ9O6oFWiJndQ6dO4suk5oLEpviV4syVITIe_uwX0McqDk-P_Z49-bLOvbrFLBNcto3f98BbjNlhegSr4GAOamyIzKocWu66GHFpMji2WZM9vX9CN6Lqn-F_mTiBg</recordid><startdate>20150320</startdate><enddate>20150320</enddate><creator>Wojcicki, Janet M</creator><creator>Young, Margaret B</creator><creator>Perham-Hester, Katherine A</creator><creator>de Schweinitz, Peter</creator><creator>Gessner, Bradford D</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>IOV</scope><scope>ISR</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>7U3</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>BHHNA</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>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20150320</creationdate><title>Risk factors for obesity at age 3 in Alaskan children, including the role of beverage consumption: results from Alaska PRAMS 2005-2006 and its three-year follow-up survey, CUBS, 2008-2009</title><author>Wojcicki, Janet M ; Young, Margaret B ; Perham-Hester, Katherine A ; de Schweinitz, Peter ; Gessner, Bradford D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-ac040ac70a7d3651d18de5fab5e0cafb5df1f036afa0fc14f131142af382a9b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Abuse</topic><topic>Age</topic><topic>Aggression</topic><topic>Alaska - epidemiology</topic><topic>Beverages</topic><topic>Bias</topic><topic>Birth order</topic><topic>Body mass</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Body weight</topic><topic>Breast feeding</topic><topic>Breastfeeding & lactation</topic><topic>Child health</topic><topic>Child, Preschool</topic><topic>Childhood</topic><topic>Childhood obesity</topic><topic>Children</topic><topic>Children & youth</topic><topic>Childrens health</topic><topic>Consumption</topic><topic>Demography</topic><topic>Diet</topic><topic>Domestic violence</topic><topic>Energy</topic><topic>Energy consumption</topic><topic>Epidemiology</topic><topic>Ethnic groups</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Food consumption</topic><topic>Health Surveys</topic><topic>Humans</topic><topic>Indians, North American - statistics & numerical data</topic><topic>Indigenous peoples</topic><topic>Infant</topic><topic>Life Style</topic><topic>Lifestyles</topic><topic>Logistic Models</topic><topic>Low income groups</topic><topic>Maternal & child health</topic><topic>Minority & ethnic groups</topic><topic>Monitoring systems</topic><topic>Multivariate Analysis</topic><topic>Native North Americans</topic><topic>Nutrition</topic><topic>Obesity</topic><topic>Obesity - epidemiology</topic><topic>Pediatrics</topic><topic>Predictions</topic><topic>Pregnancy</topic><topic>Public health</topic><topic>Regions</topic><topic>Risk analysis</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>School districts</topic><topic>Surveys</topic><topic>Violence</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wojcicki, Janet M</creatorcontrib><creatorcontrib>Young, Margaret B</creatorcontrib><creatorcontrib>Perham-Hester, Katherine A</creatorcontrib><creatorcontrib>de Schweinitz, Peter</creatorcontrib><creatorcontrib>Gessner, Bradford D</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Social Services Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>Sociological Abstracts</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - 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>Wojcicki, Janet M</au><au>Young, Margaret B</au><au>Perham-Hester, Katherine A</au><au>de Schweinitz, Peter</au><au>Gessner, Bradford D</au><au>Meyre, David</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risk factors for obesity at age 3 in Alaskan children, including the role of beverage consumption: results from Alaska PRAMS 2005-2006 and its three-year follow-up survey, CUBS, 2008-2009</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-03-20</date><risdate>2015</risdate><volume>10</volume><issue>3</issue><spage>e0118711</spage><epage>e0118711</epage><pages>e0118711-e0118711</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Prenatal and early life risk factors are associated with childhood obesity. Alaska Native children have one of the highest prevalences of childhood obesity of all US racial/ethnic groups.
Using the Pregnancy Risk Assessment Monitoring System (PRAMS) and the follow-up survey at 3 years of age (CUBS), we evaluated health, behavioral, lifestyle and nutritional variables in relation to obesity (95th percentile for body mass index (BMI)) at 3 years of age. Multivariate logistic regression modeling was conducted using Stata 12.0 to evaluate independent risk factors for obesity in non-Native and Alaska Native children.
We found an obesity prevalence of 24.9% in all Alaskan and 42.2% in Alaska Native 3 year olds. Among Alaska Native children, obesity prevalence was highest in the Northern/Southwest part of the state (51.6%, 95%CI (42.6-60.5)). Independent predictive factors for obesity at age 3 years in Alaska non-Native children were low income (<$10,000 in the year before the child was born (OR 3.94, 95%CI 1.22--17.03) and maternal pre-pregnancy obesity (OR 2.01, 95%CI 1.01-4.01) and longer duration of breastfeeding was protective (OR 0.95, 95%CI 0.91-0.995). Among Alaska Native children, predictive factors were witnessing domestic violence/abuse as a 3 year-old (OR 2.28, 95%CI 1.17-7.60). Among obese Alaska Native children, there was an increased daily consumption of energy dense beverages in the Northern/Southwest region of the state, which may explain higher rates of obesity in this part of the state.
The high prevalence of obesity in Alaska Native children may be explained by differences in lifestyle patterns and food consumption in certain parts of the state, specifically the Northern/Southwest region, which have higher consumption of energy dense beverages.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25793411</pmid><doi>10.1371/journal.pone.0118711</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2015-03, Vol.10 (3), p.e0118711-e0118711 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1664931104 |
source | Public Library of Science (PLoS) Journals Open Access; MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry; Sociological Abstracts |
subjects | Abuse Age Aggression Alaska - epidemiology Beverages Bias Birth order Body mass Body mass index Body size Body weight Breast feeding Breastfeeding & lactation Child health Child, Preschool Childhood Childhood obesity Children Children & youth Childrens health Consumption Demography Diet Domestic violence Energy Energy consumption Epidemiology Ethnic groups Female Follow-Up Studies Food consumption Health Surveys Humans Indians, North American - statistics & numerical data Indigenous peoples Infant Life Style Lifestyles Logistic Models Low income groups Maternal & child health Minority & ethnic groups Monitoring systems Multivariate Analysis Native North Americans Nutrition Obesity Obesity - epidemiology Pediatrics Predictions Pregnancy Public health Regions Risk analysis Risk Assessment Risk Factors School districts Surveys Violence Womens health |
title | Risk factors for obesity at age 3 in Alaskan children, including the role of beverage consumption: results from Alaska PRAMS 2005-2006 and its three-year follow-up survey, CUBS, 2008-2009 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T22%3A49%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Risk%20factors%20for%20obesity%20at%20age%203%20in%20Alaskan%20children,%20including%20the%20role%20of%20beverage%20consumption:%20results%20from%20Alaska%20PRAMS%202005-2006%20and%20its%20three-year%20follow-up%20survey,%20CUBS,%202008-2009&rft.jtitle=PloS%20one&rft.au=Wojcicki,%20Janet%20M&rft.date=2015-03-20&rft.volume=10&rft.issue=3&rft.spage=e0118711&rft.epage=e0118711&rft.pages=e0118711-e0118711&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0118711&rft_dat=%3Cgale_plos_%3EA423859207%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1664931104&rft_id=info:pmid/25793411&rft_galeid=A423859207&rft_doaj_id=oai_doaj_org_article_9e7adacd47a941049c6d6d03ae03cebd&rfr_iscdi=true |