P76 Predicting childhood overweight and obesity using maternal and early life healthcare and administrative data in Wales, UK

Ziauddeen, Nida; Fraser, Simon DS; Stannard, Sebastian; Berrington, Ann; Chiovoloni, Roberta; Akbari, Ashley; Owen, Rhiannon; Paranjothy, Shantini; Alwan, Nisreen A

doi:10.1136/jech-2025-ssmabstracts.152

Conference Paper/Proceeding/Abstract 136 views

P76 Predicting childhood overweight and obesity using maternal and early life healthcare and administrative data in Wales, UK

Nida Ziauddeen, Simon DS Fraser, Sebastian Stannard, Ann Berrington, Roberta Chiovoloni, Ashley Akbari

, Rhiannon Owen

, Shantini Paranjothy, Nisreen A Alwan

Journal of Epidemiology and Community Health, Volume: 79, Issue: Supplement 1, Pages: A74.1 - A74

Swansea University Authors: Roberta Chiovoloni, Ashley Akbari , Rhiannon Owen

Full text not available from this repository: check for access using links below.

Check full text

DOI (Published version): 10.1136/jech-2025-ssmabstracts.152

Published in:	Journal of Epidemiology and Community Health
ISBN:	0143-005X
ISSN:	1470-2738
Published:	BMJ Publishing Group Ltd 2025
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa70538

first_indexed	2025-09-29T22:01:38Z
last_indexed	2025-10-07T04:21:41Z
id	cronfa70538
recordtype	SURis
fullrecord	<?xml version="1.0"?><rfc1807><datestamp>2025-10-06T14:23:52.5954565</datestamp><bib-version>v2</bib-version><id>70538</id><entry>2025-09-29</entry><title>P76 Predicting childhood overweight and obesity using maternal and early life healthcare and administrative data in Wales, UK</title><swanseaauthors><author><sid>08502855f683911aeb83edd02904be23</sid><firstname>Roberta</firstname><surname>Chiovoloni</surname><name>Roberta Chiovoloni</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>aa1b025ec0243f708bb5eb0a93d6fb52</sid><ORCID>0000-0003-0814-0801</ORCID><firstname>Ashley</firstname><surname>Akbari</surname><name>Ashley Akbari</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>0d30aa00eef6528f763a1e1589f703ec</sid><ORCID>0000-0001-5977-376X</ORCID><firstname>Rhiannon</firstname><surname>Owen</surname><name>Rhiannon Owen</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2025-09-29</date><deptcode>MEDS</deptcode><abstract/><type>Conference Paper/Proceeding/Abstract</type><journal>Journal of Epidemiology and Community Health</journal><volume>79</volume><journalNumber>Supplement 1</journalNumber><paginationStart>A74.1</paginationStart><paginationEnd>A74</paginationEnd><publisher>BMJ Publishing Group Ltd</publisher><placeOfPublication/><isbnPrint>0143-005X</isbnPrint><isbnElectronic/><issnPrint/><issnElectronic>1470-2738</issnElectronic><keywords/><publishedDay>24</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2025</publishedYear><publishedDate>2025-08-24</publishedDate><doi>10.1136/jech-2025-ssmabstracts.152</doi><url/><notes>Poster</notes><college>COLLEGE NANME</college><department>Medical School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MEDS</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2025-10-06T14:23:52.5954565</lastEdited><Created>2025-09-29T21:13:26.0413047</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>Nida</firstname><surname>Ziauddeen</surname><order>1</order></author><author><firstname>Simon DS</firstname><surname>Fraser</surname><order>2</order></author><author><firstname>Sebastian</firstname><surname>Stannard</surname><order>3</order></author><author><firstname>Ann</firstname><surname>Berrington</surname><order>4</order></author><author><firstname>Roberta</firstname><surname>Chiovoloni</surname><order>5</order></author><author><firstname>Ashley</firstname><surname>Akbari</surname><orcid>0000-0003-0814-0801</orcid><order>6</order></author><author><firstname>Rhiannon</firstname><surname>Owen</surname><orcid>0000-0001-5977-376X</orcid><order>7</order></author><author><firstname>Shantini</firstname><surname>Paranjothy</surname><order>8</order></author><author><firstname>Nisreen A</firstname><surname>Alwan</surname><order>9</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling	2025-10-06T14:23:52.5954565 v2 70538 2025-09-29 P76 Predicting childhood overweight and obesity using maternal and early life healthcare and administrative data in Wales, UK 08502855f683911aeb83edd02904be23 Roberta Chiovoloni Roberta Chiovoloni true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 0d30aa00eef6528f763a1e1589f703ec 0000-0001-5977-376X Rhiannon Owen Rhiannon Owen true false 2025-09-29 MEDS Conference Paper/Proceeding/Abstract Journal of Epidemiology and Community Health 79 Supplement 1 A74.1 A74 BMJ Publishing Group Ltd 0143-005X 1470-2738 24 8 2025 2025-08-24 10.1136/jech-2025-ssmabstracts.152 Poster COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University 2025-10-06T14:23:52.5954565 2025-09-29T21:13:26.0413047 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Nida Ziauddeen 1 Simon DS Fraser 2 Sebastian Stannard 3 Ann Berrington 4 Roberta Chiovoloni 5 Ashley Akbari 0000-0003-0814-0801 6 Rhiannon Owen 0000-0001-5977-376X 7 Shantini Paranjothy 8 Nisreen A Alwan 9
title	P76 Predicting childhood overweight and obesity using maternal and early life healthcare and administrative data in Wales, UK
spellingShingle	P76 Predicting childhood overweight and obesity using maternal and early life healthcare and administrative data in Wales, UK Roberta Chiovoloni Ashley Akbari Rhiannon Owen
title_short	P76 Predicting childhood overweight and obesity using maternal and early life healthcare and administrative data in Wales, UK
title_full	P76 Predicting childhood overweight and obesity using maternal and early life healthcare and administrative data in Wales, UK
title_fullStr	P76 Predicting childhood overweight and obesity using maternal and early life healthcare and administrative data in Wales, UK
title_full_unstemmed	P76 Predicting childhood overweight and obesity using maternal and early life healthcare and administrative data in Wales, UK
title_sort	P76 Predicting childhood overweight and obesity using maternal and early life healthcare and administrative data in Wales, UK
author_id_str_mv	08502855f683911aeb83edd02904be23 aa1b025ec0243f708bb5eb0a93d6fb52 0d30aa00eef6528f763a1e1589f703ec
author_id_fullname_str_mv	08502855f683911aeb83edd02904be23_*_Roberta Chiovoloni aa1b025ec0243f708bb5eb0a93d6fb52__Ashley Akbari 0d30aa00eef6528f763a1e1589f703ec_**_Rhiannon Owen
author	Roberta Chiovoloni Ashley Akbari Rhiannon Owen
author2	Nida Ziauddeen Simon DS Fraser Sebastian Stannard Ann Berrington Roberta Chiovoloni Ashley Akbari Rhiannon Owen Shantini Paranjothy Nisreen A Alwan
format	Conference Paper/Proceeding/Abstract
container_title	Journal of Epidemiology and Community Health
container_volume	79
container_issue	Supplement 1
container_start_page	A74.1
publishDate	2025
institution	Swansea University
isbn	0143-005X
issn	1470-2738
doi_str_mv	10.1136/jech-2025-ssmabstracts.152
publisher	BMJ Publishing Group Ltd
college_str	Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id	facultyofmedicinehealthandlifesciences
hierarchy_top_title	Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id	facultyofmedicinehealthandlifesciences
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
document_store_str	0
active_str	0
published_date	2025-08-24T05:29:50Z
_version_	1851369760677167104
score	11.089572

P76 Predicting childhood overweight and obesity using maternal and early life healthcare and administrative data in Wales, UK

Similar Items