Is obesity more likely among children sharing a household with an older child with obesity? Cross-sectional study of linked National Child Measurement Programme data and electronic health records

Firman, Nicola; Wilk, Marta; Marszalek, Milena; Griffiths, Lucy; Harper, Gill; Dezateux, Carol

doi:10.1136/bmjpo-2024-002533

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Is obesity more likely among children sharing a household with an older child with obesity? Cross-sectional study of linked National Child Measurement Programme data and electronic health records

Nicola Firman

, Marta Wilk, Milena Marszalek, Lucy Griffiths

, Gill Harper, Carol Dezateux

BMJ Paediatrics Open, Volume: 8, Issue: 1, Start page: e002533

Swansea University Author: Lucy Griffiths

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DOI (Published version): 10.1136/bmjpo-2024-002533

Abstract

Background/objectives We identified household members from electronic health records linked to National Child Measurement Programme (NCMP) data to estimate the likelihood of obesity among children living with an older child with obesity.Methods We included 126 829 NCMP participants in four London bo...

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Published in:	BMJ Paediatrics Open
ISSN:	2399-9772
Published:	BMJ 2024
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa66031

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Cross-sectional study of linked National Child Measurement Programme data and electronic health records</title><swanseaauthors><author><sid>e35ea6ea4b429e812ef204b048131d93</sid><ORCID>0000-0001-9230-624X</ORCID><firstname>Lucy</firstname><surname>Griffiths</surname><name>Lucy Griffiths</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-04-10</date><deptcode>MEDS</deptcode><abstract>Background/objectives We identified household members from electronic health records linked to National Child Measurement Programme (NCMP) data to estimate the likelihood of obesity among children living with an older child with obesity.Methods We included 126 829 NCMP participants in four London boroughs and assigned households from encrypted Unique Property Reference Numbers for 115 466 (91.0%). We categorised the ethnic-adjusted body mass index of the youngest and oldest household children (underweight/healthy weight <91st, ≥91st overweight <98th, obesity ≥98th centile) and estimated adjusted ORs and 95% CIs of obesity in the youngest child by the oldest child’s weight status, adjusting for number of household children (2, 3 or ≥4), youngest child’s sex, ethnicity and school year of NCMP participation.Results We identified 19 702 households shared by two or more NCMP participants (% male; median age, range (years)—youngest children: 51.2%; 5.2, 4.1–11.8; oldest children: 50.6%; 10.6, 4.1–11.8). One-third of youngest children with obesity shared a household with another child with obesity (33.2%; 95% CI: 31.2, 35.2), compared with 9.2% (8.8, 9.7) of youngest children with a healthy weight. Youngest children living with an older child considered overweight (OR: 2.33; 95% CI: 2.06, 2.64) or obese (4.59; 4.10, 5.14) were more likely to be living with obesity.Conclusions Identifying children sharing households by linking primary care and school records provides novel insights into the shared weight status of children sharing a household. 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This research was also supported by grants from Barts Charity (ref: MGU0419 and MGU0504). This work was supported by the UK Prevention Research Partnership (MR/S037527/1), which is funded by the British Heart Foundation, Cancer Research UK, Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Health and Social Care Research and Development Division (Welsh Government), Medical Research Council, National Institute for Health Research, Natural Environment Research Council, Public Health Agency (Northern Ireland), The Health Foundation and Wellcome.</funders><projectreference/><lastEdited>2024-07-15T12:10:08.8066287</lastEdited><Created>2024-04-10T19:47:37.9545910</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Health Data Science</level></path><authors><author><firstname>Nicola</firstname><surname>Firman</surname><orcid>0000-0001-5213-5044</orcid><order>1</order></author><author><firstname>Marta</firstname><surname>Wilk</surname><order>2</order></author><author><firstname>Milena</firstname><surname>Marszalek</surname><order>3</order></author><author><firstname>Lucy</firstname><surname>Griffiths</surname><orcid>0000-0001-9230-624X</orcid><order>4</order></author><author><firstname>Gill</firstname><surname>Harper</surname><order>5</order></author><author><firstname>Carol</firstname><surname>Dezateux</surname><order>6</order></author></authors><documents><document><filename>66031__30131__f5536acddce44e579280744b70cf2235.pdf</filename><originalFilename>66031.pdf</originalFilename><uploaded>2024-04-24T11:23:28.0056401</uploaded><type>Output</type><contentLength>582466</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling	2024-07-15T12:10:08.8066287 v2 66031 2024-04-10 Is obesity more likely among children sharing a household with an older child with obesity? Cross-sectional study of linked National Child Measurement Programme data and electronic health records e35ea6ea4b429e812ef204b048131d93 0000-0001-9230-624X Lucy Griffiths Lucy Griffiths true false 2024-04-10 MEDS Background/objectives We identified household members from electronic health records linked to National Child Measurement Programme (NCMP) data to estimate the likelihood of obesity among children living with an older child with obesity.Methods We included 126 829 NCMP participants in four London boroughs and assigned households from encrypted Unique Property Reference Numbers for 115 466 (91.0%). We categorised the ethnic-adjusted body mass index of the youngest and oldest household children (underweight/healthy weight <91st, ≥91st overweight <98th, obesity ≥98th centile) and estimated adjusted ORs and 95% CIs of obesity in the youngest child by the oldest child’s weight status, adjusting for number of household children (2, 3 or ≥4), youngest child’s sex, ethnicity and school year of NCMP participation.Results We identified 19 702 households shared by two or more NCMP participants (% male; median age, range (years)—youngest children: 51.2%; 5.2, 4.1–11.8; oldest children: 50.6%; 10.6, 4.1–11.8). One-third of youngest children with obesity shared a household with another child with obesity (33.2%; 95% CI: 31.2, 35.2), compared with 9.2% (8.8, 9.7) of youngest children with a healthy weight. Youngest children living with an older child considered overweight (OR: 2.33; 95% CI: 2.06, 2.64) or obese (4.59; 4.10, 5.14) were more likely to be living with obesity.Conclusions Identifying children sharing households by linking primary care and school records provides novel insights into the shared weight status of children sharing a household. Qualitative research is needed to understand how food practices vary by household characteristics to increase understanding of how the home environment influences childhood obesity. Journal Article BMJ Paediatrics Open 8 1 e002533 BMJ 2399-9772 10 4 2024 2024-04-10 10.1136/bmjpo-2024-002533 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University Another institution paid the OA fee This work was supported by ADR UK (Administrative Data Research UK), an Economic and Social Research Council investment (part of UK Research and Innovation) (grant number: ES/X00046X/1). This research was also supported by grants from Barts Charity (ref: MGU0419 and MGU0504). This work was supported by the UK Prevention Research Partnership (MR/S037527/1), which is funded by the British Heart Foundation, Cancer Research UK, Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Health and Social Care Research and Development Division (Welsh Government), Medical Research Council, National Institute for Health Research, Natural Environment Research Council, Public Health Agency (Northern Ireland), The Health Foundation and Wellcome. 2024-07-15T12:10:08.8066287 2024-04-10T19:47:37.9545910 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Nicola Firman 0000-0001-5213-5044 1 Marta Wilk 2 Milena Marszalek 3 Lucy Griffiths 0000-0001-9230-624X 4 Gill Harper 5 Carol Dezateux 6 66031__30131__f5536acddce44e579280744b70cf2235.pdf 66031.pdf 2024-04-24T11:23:28.0056401 Output 582466 application/pdf Version of Record true This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license true eng http://creativecommons.org/licenses/by/4.0/
title	Is obesity more likely among children sharing a household with an older child with obesity? Cross-sectional study of linked National Child Measurement Programme data and electronic health records
spellingShingle	Is obesity more likely among children sharing a household with an older child with obesity? Cross-sectional study of linked National Child Measurement Programme data and electronic health records Lucy Griffiths
title_short	Is obesity more likely among children sharing a household with an older child with obesity? Cross-sectional study of linked National Child Measurement Programme data and electronic health records
title_full	Is obesity more likely among children sharing a household with an older child with obesity? Cross-sectional study of linked National Child Measurement Programme data and electronic health records
title_fullStr	Is obesity more likely among children sharing a household with an older child with obesity? Cross-sectional study of linked National Child Measurement Programme data and electronic health records
title_full_unstemmed	Is obesity more likely among children sharing a household with an older child with obesity? Cross-sectional study of linked National Child Measurement Programme data and electronic health records
title_sort	Is obesity more likely among children sharing a household with an older child with obesity? Cross-sectional study of linked National Child Measurement Programme data and electronic health records
author_id_str_mv	e35ea6ea4b429e812ef204b048131d93
author_id_fullname_str_mv	e35ea6ea4b429e812ef204b048131d93_***_Lucy Griffiths
author	Lucy Griffiths
author2	Nicola Firman Marta Wilk Milena Marszalek Lucy Griffiths Gill Harper Carol Dezateux
format	Journal article
container_title	BMJ Paediatrics Open
container_volume	8
container_issue	1
container_start_page	e002533
publishDate	2024
institution	Swansea University
issn	2399-9772
doi_str_mv	10.1136/bmjpo-2024-002533
publisher	BMJ
college_str	Faculty of Medicine, Health and Life Sciences
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hierarchy_top_title	Faculty of Medicine, Health and Life Sciences
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hierarchy_parent_title	Faculty of Medicine, Health and Life Sciences
department_str	Swansea University Medical School - Health Data Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Health Data Science
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description	Background/objectives We identified household members from electronic health records linked to National Child Measurement Programme (NCMP) data to estimate the likelihood of obesity among children living with an older child with obesity.Methods We included 126 829 NCMP participants in four London boroughs and assigned households from encrypted Unique Property Reference Numbers for 115 466 (91.0%). We categorised the ethnic-adjusted body mass index of the youngest and oldest household children (underweight/healthy weight <91st, ≥91st overweight <98th, obesity ≥98th centile) and estimated adjusted ORs and 95% CIs of obesity in the youngest child by the oldest child’s weight status, adjusting for number of household children (2, 3 or ≥4), youngest child’s sex, ethnicity and school year of NCMP participation.Results We identified 19 702 households shared by two or more NCMP participants (% male; median age, range (years)—youngest children: 51.2%; 5.2, 4.1–11.8; oldest children: 50.6%; 10.6, 4.1–11.8). One-third of youngest children with obesity shared a household with another child with obesity (33.2%; 95% CI: 31.2, 35.2), compared with 9.2% (8.8, 9.7) of youngest children with a healthy weight. Youngest children living with an older child considered overweight (OR: 2.33; 95% CI: 2.06, 2.64) or obese (4.59; 4.10, 5.14) were more likely to be living with obesity.Conclusions Identifying children sharing households by linking primary care and school records provides novel insights into the shared weight status of children sharing a household. Qualitative research is needed to understand how food practices vary by household characteristics to increase understanding of how the home environment influences childhood obesity.
published_date	2024-04-10T02:47:26Z
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Is obesity more likely among children sharing a household with an older child with obesity? Cross-sectional study of linked National Child Measurement Programme data and electronic health records

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