Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:Public health nutrition 2019-01, Vol.22 (1), p.74-84
Main Authors: Toumpakari, Zoi, Tilling, Kate, Haase, Anne M, Johnson, Laura
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c472t-2c5485575a4ea87002444acc1a9718ece1c27212be44166e53581b8636dff97b3
cites cdi_FETCH-LOGICAL-c472t-2c5485575a4ea87002444acc1a9718ece1c27212be44166e53581b8636dff97b3
container_end_page 84
container_issue 1
container_start_page 74
container_title Public health nutrition
container_volume 22
creator Toumpakari, Zoi
Tilling, Kate
Haase, Anne M
Johnson, Laura
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
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10260551</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cupid>10_1017_S1368980018002860</cupid><sourcerecordid>2131232043</sourcerecordid><originalsourceid>FETCH-LOGICAL-c472t-2c5485575a4ea87002444acc1a9718ece1c27212be44166e53581b8636dff97b3</originalsourceid><addsrcrecordid>eNp1kktuFDEQhlsIRELgAGyQJTZh0eBy-9HDJkIJEKRoWAysW57u6hkn7vbEj5FmxzW4BIfiJLiTIbzEwqqS66u_HnZRPAX6EiioVwuoZD2rKYV8WC3pveIQuBIlU0zdz34Ol1P8oHgUwiWlVCilHhYHFeWUSykPi2_nZrUuvQlXBMet8W4ccIyB9M4T1NGMq-y6LpCQ_MamQKIjHq-T8XgDviaaDMlGY3GLluhR210wgbie6M5ZDO1Eff_ylYxuLFvn8UaPmDHqK8yGxDWSea7kcio5MxizSEfmKXozXZJF8lvckeP52Xzx4nHxoNc24JO9PSo-v3v76fS8vPj4_sPpm4uy5YrFkrWC10IooTnqWuXlcM5124KeKaixRWjzioAtkXOQEkUlaljWspJd38_UsjoqTm51N2k5YDcN4bVtNt4M2u8ap03zZ2Q062bltg1QJqkQkBWO9wreXScMsRlMXoa1ekSXQsOgAlYxyquMPv8LvXTJ53VMlITcVQ0iU3BLtd6F4LG_6wZoM32H5p_vkHOe_T7GXcbP989AtRfVw9KbboW_av9f9gcUJcLR</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2161636815</pqid></control><display><type>article</type><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><source>Cambridge Journals Online</source><source>PMC (PubMed Central)</source><creator>Toumpakari, Zoi ; Tilling, Kate ; Haase, Anne M ; Johnson, Laura</creator><creatorcontrib>Toumpakari, Zoi ; Tilling, Kate ; Haase, Anne M ; Johnson, Laura</creatorcontrib><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 &amp; 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 &amp; numerical data ; Eating ; Energy consumption ; Energy Intake ; Environment ; Feeding Behavior ; Female ; Food ; Food consumption ; Food intake ; Guideline Adherence - statistics &amp; 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 &amp; 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 &amp; 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 &amp; 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 - standards</topic><topic>Diet, Healthy - statistics &amp; numerical data</topic><topic>Eating</topic><topic>Energy consumption</topic><topic>Energy Intake</topic><topic>Environment</topic><topic>Feeding Behavior</topic><topic>Female</topic><topic>Food</topic><topic>Food consumption</topic><topic>Food intake</topic><topic>Guideline Adherence - statistics &amp; numerical data</topic><topic>Health promotion</topic><topic>HOT TOPIC: Child/Adolescent Nutrition</topic><topic>Humans</topic><topic>Male</topic><topic>Meals</topic><topic>Multilevel Analysis</topic><topic>Nutrition</topic><topic>Nutrition Policy</topic><topic>Nutrition research</topic><topic>Nutrition Surveys</topic><topic>Obesity</topic><topic>Parents</topic><topic>Pediatrics</topic><topic>Public health</topic><topic>Research Paper</topic><topic>Secondary schools</topic><topic>Social classes</topic><topic>Sugar</topic><topic>Teenagers</topic><topic>Time of use</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Toumpakari, Zoi</creatorcontrib><creatorcontrib>Tilling, Kate</creatorcontrib><creatorcontrib>Haase, Anne M</creatorcontrib><creatorcontrib>Johnson, Laura</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Career &amp; Technical Education Database</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database (Proquest)</collection><collection>ProQuest SciTech 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>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Agriculture Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Nursing &amp; Allied Health Premium</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 Basic</collection><collection>MEDLINE - 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 &amp; 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>
fulltext fulltext
identifier ISSN: 1368-9800
ispartof Public health nutrition, 2019-01, Vol.22 (1), p.74-84
issn 1368-9800
1475-2727
1475-2727
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10260551
source Cambridge Journals Online; PMC (PubMed Central)
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)
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T05%3A24%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=High-risk%20environments%20for%20eating%20foods%20surplus%20to%20requirements:%20a%20multilevel%20analysis%20of%20adolescents%E2%80%99%20non-core%20food%20intake%20in%20the%20National%20Diet%20and%20Nutrition%20Survey%20(NDNS)&rft.jtitle=Public%20health%20nutrition&rft.au=Toumpakari,%20Zoi&rft.date=2019-01-01&rft.volume=22&rft.issue=1&rft.spage=74&rft.epage=84&rft.pages=74-84&rft.issn=1368-9800&rft.eissn=1475-2727&rft_id=info:doi/10.1017/S1368980018002860&rft_dat=%3Cproquest_pubme%3E2131232043%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c472t-2c5485575a4ea87002444acc1a9718ece1c27212be44166e53581b8636dff97b3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2161636815&rft_id=info:pmid/30404666&rft_cupid=10_1017_S1368980018002860&rfr_iscdi=true