Factors associated with body mass index in children and adolescents: An international cross-sectional study
The increasing prevalence of overweight and obesity in childhood has implications for their future health. There are many potential contributors to overweight and obesity in childhood. The aim was to investigate the association between postulated risk factors and body mass index (BMI) in children an...
Gespeichert in:
| Veröffentlicht in: | PloS one 2018-05, Vol.13 (5), p.e0196221-e0196221 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0196221 |
|---|---|
| container_issue | 5 |
| container_start_page | e0196221 |
| container_title | PloS one |
| container_volume | 13 |
| creator | Mitchell, Edwin A Stewart, Alistair W Braithwaite, Irene Murphy, Rinki Hancox, Robert J Wall, Clare Beasley, Richard |
| description | The increasing prevalence of overweight and obesity in childhood has implications for their future health. There are many potential contributors to overweight and obesity in childhood. The aim was to investigate the association between postulated risk factors and body mass index (BMI) in children and adolescents.
Secondary analysis of data from a multi-centre, multi-country, cross-sectional study (ISAAC Phase Three). Parents/guardians of children aged 6-7 years completed a questionnaire about their child's current height and weight, and the postulated risk factors. Adolescents aged 13-14 years reported their own height and weight and answered questions about the postulated risk factors. A general linear mixed model was used to determine the association between BMI and the postulated risk factors. Imputation was used if there were missing responses for 3 or fewer explanatory variables.
65,721 children (27 centres, 15 countries) and 189,282 adolescents (70 centres, 35 countries) were included in the final analyses. Many statistically significant associations were identified, although for most variables the effect sizes were small. In children birth weight (for each kg increase in birth weight the BMI increased by +0.43 kg/m2, p |
| doi_str_mv | 10.1371/journal.pone.0196221 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2033864992</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A537063079</galeid><doaj_id>oai_doaj_org_article_878f111c56a043e285f7511720b9a4c0</doaj_id><sourcerecordid>A537063079</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-455c241eda5b1943dce9ba7959715e98446cf301e79a8b3605077dcf33accef83</originalsourceid><addsrcrecordid>eNqNk9uO0zAQhiMEYg_wBggiISG4aPExjrlAqlYsVFppJU63lmNPWpc0LrHDbt8et82uGrQXKFIO429-j__MZNkLjKaYCvx-5fuu1c1041uYIiwLQvCj7BRLSiYFQfTx0ftJdhbCCiFOy6J4mp0QKXApOTrNfl1qE30Xch2CN05HsPmNi8u88nabr1M0d62F23TPzdI1toM2163NtfUNBANtDB_yWZvWI6R6ovOpqNx0PoRJADN8h9jb7bPsSa2bAM-H53n24_LT94svk6vrz_OL2dXEFJLECePcEIbBal5hyag1ICstJE9Fc5AlY4WpKcIgpC4rWiCOhLApRLUxUJf0PHt10N00PqjBp6CSD-n4TEqSiPmBsF6v1KZza91tlddO7QO-WyjdRWcaUKUoa4yx4YVGjAIpeS04xoKgSmpmUNL6OOzWV2uwO0c63YxExyutW6qF_6O4pLhgOAm8HQQ6_7uHENXaJWObRrfg-33djJSy3Nf9-h_04dMN1EKnA7i29mlfsxNVM04FKigSMlHTB6h0WVg7k5qqdik-Sng3SkhMhNu40H0Iav7t6_-z1z_H7Jsjdgm6icvgm37XOmEMsgO4764O6nuTMVK7mbhzQ-1mQg0zkdJeHv-g-6S7IaB_Ae0cBt4</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2033864992</pqid></control><display><type>article</type><title>Factors associated with body mass index in children and adolescents: An international cross-sectional study</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Mitchell, Edwin A ; Stewart, Alistair W ; Braithwaite, Irene ; Murphy, Rinki ; Hancox, Robert J ; Wall, Clare ; Beasley, Richard</creator><contributor>Meyre, David</contributor><creatorcontrib>Mitchell, Edwin A ; Stewart, Alistair W ; Braithwaite, Irene ; Murphy, Rinki ; Hancox, Robert J ; Wall, Clare ; Beasley, Richard ; ISAAC Phase Three Study Group ; the ISAAC Phase Three Study Group ; Meyre, David</creatorcontrib><description><![CDATA[The increasing prevalence of overweight and obesity in childhood has implications for their future health. There are many potential contributors to overweight and obesity in childhood. The aim was to investigate the association between postulated risk factors and body mass index (BMI) in children and adolescents.
Secondary analysis of data from a multi-centre, multi-country, cross-sectional study (ISAAC Phase Three). Parents/guardians of children aged 6-7 years completed a questionnaire about their child's current height and weight, and the postulated risk factors. Adolescents aged 13-14 years reported their own height and weight and answered questions about the postulated risk factors. A general linear mixed model was used to determine the association between BMI and the postulated risk factors. Imputation was used if there were missing responses for 3 or fewer explanatory variables.
65,721 children (27 centres, 15 countries) and 189,282 adolescents (70 centres, 35 countries) were included in the final analyses. Many statistically significant associations were identified, although for most variables the effect sizes were small. In children birth weight (for each kg increase in birth weight the BMI increased by +0.43 kg/m2, p<0.001), television viewing (5+ hours/day +0.33 kg/m2 vs. <1 hour/day, p<0.001), fast food (≥3 times/week +0.16 kg/m2 vs. never, p<0.001) vigorous physical activity (3+ hours/week 0.071 kg/m2 vs. never, p = 0.023) and maternal smoking in the first year of life (+0.13 kg/m2, p<0.001) were associated with a higher BMI in the adjusted model. Nut consumption (≥3 times/week -0.11 kg/m2 vs. never, p = 0.002) was associated with a lower BMI. Early life exposures (antibiotics, paracetamol and breast feeding) were also associated with BMI. For adolescents statistically significant associations with BMI and were seen with maternal smoking (+0.25 kg/m2, p<0.001), television viewing (5+ hours/day +0.23 kg/m2 vs. <1 hour/day, p<0.001), fast food (≥3 times/week -0.19 kg/m2 vs. never, p<0.001), vigorous physical activity (3+ hours/week 0.047 kg/m2 vs. never, p<0.001) and nuts (≥3 times/week -0.22 kg/m2 vs. never, p<0.001).
Although several early life exposures were associated with small differences in BMI, most effect sizes were small. Larger effect sizes were seen with current maternal smoking, television viewing (both with higher BMI) and frequent nut consumption (lower BMI) in both children and adolescents, suggesting that current behaviours are more important than early exposures. Although many variables may influence BMI in childhood, the putative factors studied are not of sufficient magnitude to support major public health interventions.]]></description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0196221</identifier><identifier>PMID: 29718950</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adolescents ; Age ; Analgesics ; Analysis ; Antibiotics ; Asthma ; Biology and Life Sciences ; Birth weight ; Body mass ; Body Mass Index ; Body size ; Body weight ; Breast feeding ; Breastfeeding & lactation ; Child ; Childhood obesity ; Children ; Children & youth ; Cross-Sectional Studies ; Data processing ; Exercise ; Exposure ; Fast food ; Female ; Health aspects ; Health sciences ; Humans ; Internationality ; Male ; Mathematical models ; Medical research ; Medicine ; Medicine and Health Sciences ; Meta-analysis ; Methods ; Nuts ; Obesity ; Overweight ; Paracetamol ; Parents ; People and Places ; Physical activity ; Pregnancy ; Public health ; Questionnaires ; Risk analysis ; Risk Factors ; Secondary analysis ; Sedentary Behavior ; Smoking ; Statistical analysis ; Statistical significance ; Studies ; Surveys ; Systematic review ; Teenagers ; Television ; Viewing</subject><ispartof>PloS one, 2018-05, Vol.13 (5), p.e0196221-e0196221</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Mitchell 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>2018 Mitchell et al 2018 Mitchell et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-455c241eda5b1943dce9ba7959715e98446cf301e79a8b3605077dcf33accef83</citedby><cites>FETCH-LOGICAL-c692t-455c241eda5b1943dce9ba7959715e98446cf301e79a8b3605077dcf33accef83</cites><orcidid>0000-0001-6187-7648 ; 0000-0001-5327-3027</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5931641/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5931641/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29718950$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Meyre, David</contributor><creatorcontrib>Mitchell, Edwin A</creatorcontrib><creatorcontrib>Stewart, Alistair W</creatorcontrib><creatorcontrib>Braithwaite, Irene</creatorcontrib><creatorcontrib>Murphy, Rinki</creatorcontrib><creatorcontrib>Hancox, Robert J</creatorcontrib><creatorcontrib>Wall, Clare</creatorcontrib><creatorcontrib>Beasley, Richard</creatorcontrib><creatorcontrib>ISAAC Phase Three Study Group</creatorcontrib><creatorcontrib>the ISAAC Phase Three Study Group</creatorcontrib><title>Factors associated with body mass index in children and adolescents: An international cross-sectional study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description><![CDATA[The increasing prevalence of overweight and obesity in childhood has implications for their future health. There are many potential contributors to overweight and obesity in childhood. The aim was to investigate the association between postulated risk factors and body mass index (BMI) in children and adolescents.
Secondary analysis of data from a multi-centre, multi-country, cross-sectional study (ISAAC Phase Three). Parents/guardians of children aged 6-7 years completed a questionnaire about their child's current height and weight, and the postulated risk factors. Adolescents aged 13-14 years reported their own height and weight and answered questions about the postulated risk factors. A general linear mixed model was used to determine the association between BMI and the postulated risk factors. Imputation was used if there were missing responses for 3 or fewer explanatory variables.
65,721 children (27 centres, 15 countries) and 189,282 adolescents (70 centres, 35 countries) were included in the final analyses. Many statistically significant associations were identified, although for most variables the effect sizes were small. In children birth weight (for each kg increase in birth weight the BMI increased by +0.43 kg/m2, p<0.001), television viewing (5+ hours/day +0.33 kg/m2 vs. <1 hour/day, p<0.001), fast food (≥3 times/week +0.16 kg/m2 vs. never, p<0.001) vigorous physical activity (3+ hours/week 0.071 kg/m2 vs. never, p = 0.023) and maternal smoking in the first year of life (+0.13 kg/m2, p<0.001) were associated with a higher BMI in the adjusted model. Nut consumption (≥3 times/week -0.11 kg/m2 vs. never, p = 0.002) was associated with a lower BMI. Early life exposures (antibiotics, paracetamol and breast feeding) were also associated with BMI. For adolescents statistically significant associations with BMI and were seen with maternal smoking (+0.25 kg/m2, p<0.001), television viewing (5+ hours/day +0.23 kg/m2 vs. <1 hour/day, p<0.001), fast food (≥3 times/week -0.19 kg/m2 vs. never, p<0.001), vigorous physical activity (3+ hours/week 0.047 kg/m2 vs. never, p<0.001) and nuts (≥3 times/week -0.22 kg/m2 vs. never, p<0.001).
Although several early life exposures were associated with small differences in BMI, most effect sizes were small. Larger effect sizes were seen with current maternal smoking, television viewing (both with higher BMI) and frequent nut consumption (lower BMI) in both children and adolescents, suggesting that current behaviours are more important than early exposures. Although many variables may influence BMI in childhood, the putative factors studied are not of sufficient magnitude to support major public health interventions.]]></description><subject>Adolescent</subject><subject>Adolescents</subject><subject>Age</subject><subject>Analgesics</subject><subject>Analysis</subject><subject>Antibiotics</subject><subject>Asthma</subject><subject>Biology and Life Sciences</subject><subject>Birth weight</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</subject><subject>Childhood obesity</subject><subject>Children</subject><subject>Children & youth</subject><subject>Cross-Sectional Studies</subject><subject>Data processing</subject><subject>Exercise</subject><subject>Exposure</subject><subject>Fast food</subject><subject>Female</subject><subject>Health aspects</subject><subject>Health sciences</subject><subject>Humans</subject><subject>Internationality</subject><subject>Male</subject><subject>Mathematical models</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Meta-analysis</subject><subject>Methods</subject><subject>Nuts</subject><subject>Obesity</subject><subject>Overweight</subject><subject>Paracetamol</subject><subject>Parents</subject><subject>People and Places</subject><subject>Physical activity</subject><subject>Pregnancy</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Secondary analysis</subject><subject>Sedentary Behavior</subject><subject>Smoking</subject><subject>Statistical analysis</subject><subject>Statistical significance</subject><subject>Studies</subject><subject>Surveys</subject><subject>Systematic review</subject><subject>Teenagers</subject><subject>Television</subject><subject>Viewing</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk9uO0zAQhiMEYg_wBggiISG4aPExjrlAqlYsVFppJU63lmNPWpc0LrHDbt8et82uGrQXKFIO429-j__MZNkLjKaYCvx-5fuu1c1041uYIiwLQvCj7BRLSiYFQfTx0ftJdhbCCiFOy6J4mp0QKXApOTrNfl1qE30Xch2CN05HsPmNi8u88nabr1M0d62F23TPzdI1toM2163NtfUNBANtDB_yWZvWI6R6ovOpqNx0PoRJADN8h9jb7bPsSa2bAM-H53n24_LT94svk6vrz_OL2dXEFJLECePcEIbBal5hyag1ICstJE9Fc5AlY4WpKcIgpC4rWiCOhLApRLUxUJf0PHt10N00PqjBp6CSD-n4TEqSiPmBsF6v1KZza91tlddO7QO-WyjdRWcaUKUoa4yx4YVGjAIpeS04xoKgSmpmUNL6OOzWV2uwO0c63YxExyutW6qF_6O4pLhgOAm8HQQ6_7uHENXaJWObRrfg-33djJSy3Nf9-h_04dMN1EKnA7i29mlfsxNVM04FKigSMlHTB6h0WVg7k5qqdik-Sng3SkhMhNu40H0Iav7t6_-z1z_H7Jsjdgm6icvgm37XOmEMsgO4764O6nuTMVK7mbhzQ-1mQg0zkdJeHv-g-6S7IaB_Ae0cBt4</recordid><startdate>20180502</startdate><enddate>20180502</enddate><creator>Mitchell, Edwin A</creator><creator>Stewart, Alistair W</creator><creator>Braithwaite, Irene</creator><creator>Murphy, Rinki</creator><creator>Hancox, Robert J</creator><creator>Wall, Clare</creator><creator>Beasley, Richard</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>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>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-6187-7648</orcidid><orcidid>https://orcid.org/0000-0001-5327-3027</orcidid></search><sort><creationdate>20180502</creationdate><title>Factors associated with body mass index in children and adolescents: An international cross-sectional study</title><author>Mitchell, Edwin A ; Stewart, Alistair W ; Braithwaite, Irene ; Murphy, Rinki ; Hancox, Robert J ; Wall, Clare ; Beasley, Richard</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-455c241eda5b1943dce9ba7959715e98446cf301e79a8b3605077dcf33accef83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adolescent</topic><topic>Adolescents</topic><topic>Age</topic><topic>Analgesics</topic><topic>Analysis</topic><topic>Antibiotics</topic><topic>Asthma</topic><topic>Biology and Life Sciences</topic><topic>Birth weight</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</topic><topic>Childhood obesity</topic><topic>Children</topic><topic>Children & youth</topic><topic>Cross-Sectional Studies</topic><topic>Data processing</topic><topic>Exercise</topic><topic>Exposure</topic><topic>Fast food</topic><topic>Female</topic><topic>Health aspects</topic><topic>Health sciences</topic><topic>Humans</topic><topic>Internationality</topic><topic>Male</topic><topic>Mathematical models</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Meta-analysis</topic><topic>Methods</topic><topic>Nuts</topic><topic>Obesity</topic><topic>Overweight</topic><topic>Paracetamol</topic><topic>Parents</topic><topic>People and Places</topic><topic>Physical activity</topic><topic>Pregnancy</topic><topic>Public health</topic><topic>Questionnaires</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Secondary analysis</topic><topic>Sedentary Behavior</topic><topic>Smoking</topic><topic>Statistical analysis</topic><topic>Statistical significance</topic><topic>Studies</topic><topic>Surveys</topic><topic>Systematic review</topic><topic>Teenagers</topic><topic>Television</topic><topic>Viewing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mitchell, Edwin A</creatorcontrib><creatorcontrib>Stewart, Alistair W</creatorcontrib><creatorcontrib>Braithwaite, Irene</creatorcontrib><creatorcontrib>Murphy, Rinki</creatorcontrib><creatorcontrib>Hancox, Robert J</creatorcontrib><creatorcontrib>Wall, Clare</creatorcontrib><creatorcontrib>Beasley, Richard</creatorcontrib><creatorcontrib>ISAAC Phase Three Study Group</creatorcontrib><creatorcontrib>the ISAAC Phase Three Study Group</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>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 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</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>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>Mitchell, Edwin A</au><au>Stewart, Alistair W</au><au>Braithwaite, Irene</au><au>Murphy, Rinki</au><au>Hancox, Robert J</au><au>Wall, Clare</au><au>Beasley, Richard</au><au>Meyre, David</au><aucorp>ISAAC Phase Three Study Group</aucorp><aucorp>the ISAAC Phase Three Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Factors associated with body mass index in children and adolescents: An international cross-sectional study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2018-05-02</date><risdate>2018</risdate><volume>13</volume><issue>5</issue><spage>e0196221</spage><epage>e0196221</epage><pages>e0196221-e0196221</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract><![CDATA[The increasing prevalence of overweight and obesity in childhood has implications for their future health. There are many potential contributors to overweight and obesity in childhood. The aim was to investigate the association between postulated risk factors and body mass index (BMI) in children and adolescents.
Secondary analysis of data from a multi-centre, multi-country, cross-sectional study (ISAAC Phase Three). Parents/guardians of children aged 6-7 years completed a questionnaire about their child's current height and weight, and the postulated risk factors. Adolescents aged 13-14 years reported their own height and weight and answered questions about the postulated risk factors. A general linear mixed model was used to determine the association between BMI and the postulated risk factors. Imputation was used if there were missing responses for 3 or fewer explanatory variables.
65,721 children (27 centres, 15 countries) and 189,282 adolescents (70 centres, 35 countries) were included in the final analyses. Many statistically significant associations were identified, although for most variables the effect sizes were small. In children birth weight (for each kg increase in birth weight the BMI increased by +0.43 kg/m2, p<0.001), television viewing (5+ hours/day +0.33 kg/m2 vs. <1 hour/day, p<0.001), fast food (≥3 times/week +0.16 kg/m2 vs. never, p<0.001) vigorous physical activity (3+ hours/week 0.071 kg/m2 vs. never, p = 0.023) and maternal smoking in the first year of life (+0.13 kg/m2, p<0.001) were associated with a higher BMI in the adjusted model. Nut consumption (≥3 times/week -0.11 kg/m2 vs. never, p = 0.002) was associated with a lower BMI. Early life exposures (antibiotics, paracetamol and breast feeding) were also associated with BMI. For adolescents statistically significant associations with BMI and were seen with maternal smoking (+0.25 kg/m2, p<0.001), television viewing (5+ hours/day +0.23 kg/m2 vs. <1 hour/day, p<0.001), fast food (≥3 times/week -0.19 kg/m2 vs. never, p<0.001), vigorous physical activity (3+ hours/week 0.047 kg/m2 vs. never, p<0.001) and nuts (≥3 times/week -0.22 kg/m2 vs. never, p<0.001).
Although several early life exposures were associated with small differences in BMI, most effect sizes were small. Larger effect sizes were seen with current maternal smoking, television viewing (both with higher BMI) and frequent nut consumption (lower BMI) in both children and adolescents, suggesting that current behaviours are more important than early exposures. Although many variables may influence BMI in childhood, the putative factors studied are not of sufficient magnitude to support major public health interventions.]]></abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29718950</pmid><doi>10.1371/journal.pone.0196221</doi><tpages>e0196221</tpages><orcidid>https://orcid.org/0000-0001-6187-7648</orcidid><orcidid>https://orcid.org/0000-0001-5327-3027</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2018-05, Vol.13 (5), p.e0196221-e0196221 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2033864992 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adolescent Adolescents Age Analgesics Analysis Antibiotics Asthma Biology and Life Sciences Birth weight Body mass Body Mass Index Body size Body weight Breast feeding Breastfeeding & lactation Child Childhood obesity Children Children & youth Cross-Sectional Studies Data processing Exercise Exposure Fast food Female Health aspects Health sciences Humans Internationality Male Mathematical models Medical research Medicine Medicine and Health Sciences Meta-analysis Methods Nuts Obesity Overweight Paracetamol Parents People and Places Physical activity Pregnancy Public health Questionnaires Risk analysis Risk Factors Secondary analysis Sedentary Behavior Smoking Statistical analysis Statistical significance Studies Surveys Systematic review Teenagers Television Viewing |
| title | Factors associated with body mass index in children and adolescents: An international cross-sectional study |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T11%3A12%3A39IST&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=Factors%20associated%20with%20body%20mass%20index%20in%20children%20and%20adolescents:%20An%20international%20cross-sectional%20study&rft.jtitle=PloS%20one&rft.au=Mitchell,%20Edwin%20A&rft.aucorp=ISAAC%20Phase%20Three%20Study%20Group&rft.date=2018-05-02&rft.volume=13&rft.issue=5&rft.spage=e0196221&rft.epage=e0196221&rft.pages=e0196221-e0196221&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0196221&rft_dat=%3Cgale_plos_%3EA537063079%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=2033864992&rft_id=info:pmid/29718950&rft_galeid=A537063079&rft_doaj_id=oai_doaj_org_article_878f111c56a043e285f7511720b9a4c0&rfr_iscdi=true |