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High-risk environments for eating foods surplus to requirements: a multilevel analysis of adolescents’ non-core food intake in the National Diet and Nutrition Survey (NDNS)
Interventions to reduce adolescents' non-core food intake (i.e. foods high in fat and sugar) could target specific people or specific environments, but the relative importance of environmental contexts v. individual characteristics is unknown. Cross-sectional. Data from 4d food diaries in the U...
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Published in: | Public health nutrition 2019-01, Vol.22 (1), p.74-84 |
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description | Interventions to reduce adolescents' non-core food intake (i.e. foods high in fat and sugar) could target specific people or specific environments, but the relative importance of environmental contexts v. individual characteristics is unknown.
Cross-sectional.
Data from 4d food diaries in the UK National Diet and Nutrition Survey (NDNS) 2008-2012 were analysed. NDNS food items were classified as 'non-core' based on fat and sugar cut-off points per 100g of food. Linear multilevel models investigated associations between 'where' (home, school, etc.) and 'with whom' (parents, friends, etc.) eating contexts and non-core food energy (kcal) per eating occasion (EO), adjusting for variables at the EO (e.g. time of day) and adolescent level (e.g. gender).ParticipantsAdolescents (n 884) aged 11-18 years.
Only 11 % of variation in non-core energy intake was attributed to differences between adolescents. In adjusted models, non-core food intake was 151 % higher (ratio; 95 % CI) in EO at 'Eateries' (2·51; 2·14, 2·95) and 88 % higher at 'School' (1·88; 1·65, 2·13) compared with 'Home'. EO with 'Friends' (1·16; CI 1·03, 1·31) and 'Family & friends' (1·21; 1·07, 1·37) contained 16-21 % more non-core food compared with eating 'Alone'. At the individual level, total energy intake and BMI, but not social class, gender or age, were weakly associated with more non-core energy intake.
Regardless of individual characteristics, adolescents' non-core food consumption was higher outside the home, especially at eateries. Targeting specific eating contexts, not individuals, may contribute to more effective public health interventions. |
doi_str_mv | 10.1017/S1368980018002860 |
format | article |
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Cross-sectional.
Data from 4d food diaries in the UK National Diet and Nutrition Survey (NDNS) 2008-2012 were analysed. NDNS food items were classified as 'non-core' based on fat and sugar cut-off points per 100g of food. Linear multilevel models investigated associations between 'where' (home, school, etc.) and 'with whom' (parents, friends, etc.) eating contexts and non-core food energy (kcal) per eating occasion (EO), adjusting for variables at the EO (e.g. time of day) and adolescent level (e.g. gender).ParticipantsAdolescents (n 884) aged 11-18 years.
Only 11 % of variation in non-core energy intake was attributed to differences between adolescents. In adjusted models, non-core food intake was 151 % higher (ratio; 95 % CI) in EO at 'Eateries' (2·51; 2·14, 2·95) and 88 % higher at 'School' (1·88; 1·65, 2·13) compared with 'Home'. EO with 'Friends' (1·16; CI 1·03, 1·31) and 'Family & friends' (1·21; 1·07, 1·37) contained 16-21 % more non-core food compared with eating 'Alone'. At the individual level, total energy intake and BMI, but not social class, gender or age, were weakly associated with more non-core energy intake.
Regardless of individual characteristics, adolescents' non-core food consumption was higher outside the home, especially at eateries. Targeting specific eating contexts, not individuals, may contribute to more effective public health interventions.</description><identifier>ISSN: 1368-9800</identifier><identifier>ISSN: 1475-2727</identifier><identifier>EISSN: 1475-2727</identifier><identifier>DOI: 10.1017/S1368980018002860</identifier><identifier>PMID: 30404666</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Adolescent ; Adolescents ; Age ; Child ; Cross-Sectional Studies ; Diaries ; Diet ; Diet Records ; Diet, Healthy - standards ; Diet, Healthy - statistics & numerical data ; Eating ; Energy consumption ; Energy Intake ; Environment ; Feeding Behavior ; Female ; Food ; Food consumption ; Food intake ; Guideline Adherence - statistics & numerical data ; Health promotion ; HOT TOPIC: Child/Adolescent Nutrition ; Humans ; Male ; Meals ; Multilevel Analysis ; Nutrition ; Nutrition Policy ; Nutrition research ; Nutrition Surveys ; Obesity ; Parents ; Pediatrics ; Public health ; Research Paper ; Secondary schools ; Social classes ; Sugar ; Teenagers ; Time of use</subject><ispartof>Public health nutrition, 2019-01, Vol.22 (1), p.74-84</ispartof><rights>The Authors 2018</rights><rights>The Authors 2018 2018 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c472t-2c5485575a4ea87002444acc1a9718ece1c27212be44166e53581b8636dff97b3</citedby><cites>FETCH-LOGICAL-c472t-2c5485575a4ea87002444acc1a9718ece1c27212be44166e53581b8636dff97b3</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/PMC10260551/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S1368980018002860/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>230,314,725,778,782,883,27907,27908,53774,53776,72711</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30404666$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Toumpakari, Zoi</creatorcontrib><creatorcontrib>Tilling, Kate</creatorcontrib><creatorcontrib>Haase, Anne M</creatorcontrib><creatorcontrib>Johnson, Laura</creatorcontrib><title>High-risk environments for eating foods surplus to requirements: a multilevel analysis of adolescents’ non-core food intake in the National Diet and Nutrition Survey (NDNS)</title><title>Public health nutrition</title><addtitle>Public Health Nutr</addtitle><description>Interventions to reduce adolescents' non-core food intake (i.e. foods high in fat and sugar) could target specific people or specific environments, but the relative importance of environmental contexts v. individual characteristics is unknown.
Cross-sectional.
Data from 4d food diaries in the UK National Diet and Nutrition Survey (NDNS) 2008-2012 were analysed. NDNS food items were classified as 'non-core' based on fat and sugar cut-off points per 100g of food. Linear multilevel models investigated associations between 'where' (home, school, etc.) and 'with whom' (parents, friends, etc.) eating contexts and non-core food energy (kcal) per eating occasion (EO), adjusting for variables at the EO (e.g. time of day) and adolescent level (e.g. gender).ParticipantsAdolescents (n 884) aged 11-18 years.
Only 11 % of variation in non-core energy intake was attributed to differences between adolescents. In adjusted models, non-core food intake was 151 % higher (ratio; 95 % CI) in EO at 'Eateries' (2·51; 2·14, 2·95) and 88 % higher at 'School' (1·88; 1·65, 2·13) compared with 'Home'. EO with 'Friends' (1·16; CI 1·03, 1·31) and 'Family & friends' (1·21; 1·07, 1·37) contained 16-21 % more non-core food compared with eating 'Alone'. At the individual level, total energy intake and BMI, but not social class, gender or age, were weakly associated with more non-core energy intake.
Regardless of individual characteristics, adolescents' non-core food consumption was higher outside the home, especially at eateries. Targeting specific eating contexts, not individuals, may contribute to more effective public health interventions.</description><subject>Adolescent</subject><subject>Adolescents</subject><subject>Age</subject><subject>Child</subject><subject>Cross-Sectional Studies</subject><subject>Diaries</subject><subject>Diet</subject><subject>Diet Records</subject><subject>Diet, Healthy - standards</subject><subject>Diet, Healthy - statistics & numerical data</subject><subject>Eating</subject><subject>Energy consumption</subject><subject>Energy Intake</subject><subject>Environment</subject><subject>Feeding Behavior</subject><subject>Female</subject><subject>Food</subject><subject>Food consumption</subject><subject>Food intake</subject><subject>Guideline Adherence - statistics & numerical data</subject><subject>Health promotion</subject><subject>HOT TOPIC: Child/Adolescent Nutrition</subject><subject>Humans</subject><subject>Male</subject><subject>Meals</subject><subject>Multilevel Analysis</subject><subject>Nutrition</subject><subject>Nutrition Policy</subject><subject>Nutrition research</subject><subject>Nutrition Surveys</subject><subject>Obesity</subject><subject>Parents</subject><subject>Pediatrics</subject><subject>Public health</subject><subject>Research Paper</subject><subject>Secondary schools</subject><subject>Social classes</subject><subject>Sugar</subject><subject>Teenagers</subject><subject>Time of use</subject><issn>1368-9800</issn><issn>1475-2727</issn><issn>1475-2727</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kktuFDEQhlsIRELgAGyQJTZh0eBy-9HDJkIJEKRoWAysW57u6hkn7vbEj5FmxzW4BIfiJLiTIbzEwqqS66u_HnZRPAX6EiioVwuoZD2rKYV8WC3pveIQuBIlU0zdz34Ol1P8oHgUwiWlVCilHhYHFeWUSykPi2_nZrUuvQlXBMet8W4ccIyB9M4T1NGMq-y6LpCQ_MamQKIjHq-T8XgDviaaDMlGY3GLluhR210wgbie6M5ZDO1Eff_ylYxuLFvn8UaPmDHqK8yGxDWSea7kcio5MxizSEfmKXozXZJF8lvckeP52Xzx4nHxoNc24JO9PSo-v3v76fS8vPj4_sPpm4uy5YrFkrWC10IooTnqWuXlcM5124KeKaixRWjzioAtkXOQEkUlaljWspJd38_UsjoqTm51N2k5YDcN4bVtNt4M2u8ap03zZ2Q062bltg1QJqkQkBWO9wreXScMsRlMXoa1ekSXQsOgAlYxyquMPv8LvXTJ53VMlITcVQ0iU3BLtd6F4LG_6wZoM32H5p_vkHOe_T7GXcbP989AtRfVw9KbboW_av9f9gcUJcLR</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Toumpakari, Zoi</creator><creator>Tilling, Kate</creator><creator>Haase, Anne M</creator><creator>Johnson, Laura</creator><general>Cambridge University Press</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>3V.</scope><scope>7QP</scope><scope>7RQ</scope><scope>7RV</scope><scope>7T2</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20190101</creationdate><title>High-risk environments for eating foods surplus to requirements: a multilevel analysis of adolescents’ non-core food intake in the National Diet and Nutrition Survey (NDNS)</title><author>Toumpakari, Zoi ; Tilling, Kate ; Haase, Anne M ; Johnson, Laura</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c472t-2c5485575a4ea87002444acc1a9718ece1c27212be44166e53581b8636dff97b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adolescent</topic><topic>Adolescents</topic><topic>Age</topic><topic>Child</topic><topic>Cross-Sectional Studies</topic><topic>Diaries</topic><topic>Diet</topic><topic>Diet Records</topic><topic>Diet, Healthy - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Public health nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Toumpakari, Zoi</au><au>Tilling, Kate</au><au>Haase, Anne M</au><au>Johnson, Laura</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High-risk environments for eating foods surplus to requirements: a multilevel analysis of adolescents’ non-core food intake in the National Diet and Nutrition Survey (NDNS)</atitle><jtitle>Public health nutrition</jtitle><addtitle>Public Health Nutr</addtitle><date>2019-01-01</date><risdate>2019</risdate><volume>22</volume><issue>1</issue><spage>74</spage><epage>84</epage><pages>74-84</pages><issn>1368-9800</issn><issn>1475-2727</issn><eissn>1475-2727</eissn><abstract>Interventions to reduce adolescents' non-core food intake (i.e. foods high in fat and sugar) could target specific people or specific environments, but the relative importance of environmental contexts v. individual characteristics is unknown.
Cross-sectional.
Data from 4d food diaries in the UK National Diet and Nutrition Survey (NDNS) 2008-2012 were analysed. NDNS food items were classified as 'non-core' based on fat and sugar cut-off points per 100g of food. Linear multilevel models investigated associations between 'where' (home, school, etc.) and 'with whom' (parents, friends, etc.) eating contexts and non-core food energy (kcal) per eating occasion (EO), adjusting for variables at the EO (e.g. time of day) and adolescent level (e.g. gender).ParticipantsAdolescents (n 884) aged 11-18 years.
Only 11 % of variation in non-core energy intake was attributed to differences between adolescents. In adjusted models, non-core food intake was 151 % higher (ratio; 95 % CI) in EO at 'Eateries' (2·51; 2·14, 2·95) and 88 % higher at 'School' (1·88; 1·65, 2·13) compared with 'Home'. EO with 'Friends' (1·16; CI 1·03, 1·31) and 'Family & friends' (1·21; 1·07, 1·37) contained 16-21 % more non-core food compared with eating 'Alone'. At the individual level, total energy intake and BMI, but not social class, gender or age, were weakly associated with more non-core energy intake.
Regardless of individual characteristics, adolescents' non-core food consumption was higher outside the home, especially at eateries. Targeting specific eating contexts, not individuals, may contribute to more effective public health interventions.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>30404666</pmid><doi>10.1017/S1368980018002860</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adolescents Age Child Cross-Sectional Studies Diaries Diet Diet Records Diet, Healthy - standards Diet, Healthy - statistics & numerical data Eating Energy consumption Energy Intake Environment Feeding Behavior Female Food Food consumption Food intake Guideline Adherence - statistics & numerical data Health promotion HOT TOPIC: Child/Adolescent Nutrition Humans Male Meals Multilevel Analysis Nutrition Nutrition Policy Nutrition research Nutrition Surveys Obesity Parents Pediatrics Public health Research Paper Secondary schools Social classes Sugar Teenagers Time of use |
title | High-risk environments for eating foods surplus to requirements: a multilevel analysis of adolescents’ non-core food intake in the National Diet and Nutrition Survey (NDNS) |
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