<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Panagi L</submitter><funding>Beryl Alexander Charity</funding><pagination>e1926</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9720219</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>31(4)</volume><pubmed_abstract>&lt;h4>Objectives&lt;/h4>To explore the impact of various measurements of long-term health conditions (LTCs) on the resulting prevalence estimates using data from a nationally representative dataset.&lt;h4>Methods&lt;/h4>Children and young people in the Millennium Cohort Study were followed at ages 3, 5, 7, 11, and 14 years (N = 15,631). We estimated the weighted prevalence of LTCs at each time point and examined the degree to which estimates agreed with alternate health indicators (special educational needs and disability [SEND], specific chronic conditions, and common chronicity criteria) using descriptive analyses, Cohen's kappa statistic, and percentage agreement.&lt;h4>Results&lt;/h4>The estimated weighted prevalence of LTCs peaked at 5 years old (20%). Despite high percentage agreement, we observed at</pubmed_abstract><journal>International journal of methods in psychiatric research</journal><pubmed_title>The importance of definitions in the measurement of long-term health conditions in childhood. Variations in prevalence of long-term health conditions in the UK using data from the Millennium Cohort Study, 2004-2015.</pubmed_title><pmcid>PMC9720219</pmcid><funding_grant_id>RNAG/600</funding_grant_id><pubmed_authors>Panagi L</pubmed_authors><pubmed_authors>Bennett S</pubmed_authors><pubmed_authors>Patel S</pubmed_authors><pubmed_authors>White SR</pubmed_authors><pubmed_authors>Ford T</pubmed_authors><pubmed_authors>Shafran R</pubmed_authors></additional><is_claimable>false</is_claimable><name>The importance of definitions in the measurement of long-term health conditions in childhood. Variations in prevalence of long-term health conditions in the UK using data from the Millennium Cohort Study, 2004-2015.</name><description>&lt;h4>Objectives&lt;/h4>To explore the impact of various measurements of long-term health conditions (LTCs) on the resulting prevalence estimates using data from a nationally representative dataset.&lt;h4>Methods&lt;/h4>Children and young people in the Millennium Cohort Study were followed at ages 3, 5, 7, 11, and 14 years (N = 15,631). We estimated the weighted prevalence of LTCs at each time point and examined the degree to which estimates agreed with alternate health indicators (special educational needs and disability [SEND], specific chronic conditions, and common chronicity criteria) using descriptive analyses, Cohen's kappa statistic, and percentage agreement.&lt;h4>Results&lt;/h4>The estimated weighted prevalence of LTCs peaked at 5 years old (20%). Despite high percentage agreement, we observed at</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Dec</publication><modification>2025-04-05T11:48:39.212Z</modification><creation>2025-04-05T11:48:39.212Z</creation></dates><accession>S-EPMC9720219</accession><cross_references><pubmed>35950235</pubmed><doi>10.1002/mpr.1926</doi></cross_references></HashMap>