<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Johnson SB</submitter><funding>NCATS NIH HHS</funding><funding>NIDDK NIH HHS</funding><funding>NLM NIH HHS</funding><pagination>373-83</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5013835</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>41(3)</volume><pubmed_abstract>&lt;h4>Objective&lt;/h4>To identify predictors of later study withdrawal among participants active in The Environmental Determinants of Diabetes in the Young (TEDDY) for 1 year. &lt;h4>Methods&lt;/h4>Multiple logistic regression was used to discriminate 3,042 children active in TEDDY for the first 3 years from 432 children who withdrew in Years 2 or 3. Predictor variables were tested in blocks-demographic, maternal lifestyle behaviors, stress and child illness, maternal reactions to child's increased diabetes risk, in-study behaviors-and a final best model developed. &lt;h4>Results&lt;/h4>Few demographic factors predicted study withdrawal. Maternal lifestyle behaviors, accuracy of the mother's risk perception, and in-study behaviors were more important. Frequent child illnesses were associated with greater </pubmed_abstract><journal>Journal of pediatric psychology</journal><pubmed_title>Predicting Later Study Withdrawal in Participants Active in a Longitudinal Birth Cohort Study for 1 Year: The TEDDY Study.</pubmed_title><pmcid>PMC5013835</pmcid><funding_grant_id>U01 DK63863</funding_grant_id><funding_grant_id>UL1 TR000064</funding_grant_id><funding_grant_id>U01 DK63861</funding_grant_id><funding_grant_id>U01DK63836</funding_grant_id><funding_grant_id>UC4 DK95300</funding_grant_id><funding_grant_id>UC4 DK117483</funding_grant_id><funding_grant_id>U01 DK63790</funding_grant_id><funding_grant_id>UC4 DK63829</funding_grant_id><funding_grant_id>UC4 DK100238</funding_grant_id><funding_grant_id>UC4DK63836</funding_grant_id><funding_grant_id>UC4 DK106955</funding_grant_id><funding_grant_id>U01 DK63865</funding_grant_id><funding_grant_id>U01 DK63821</funding_grant_id><funding_grant_id>UL1 TR001427</funding_grant_id><funding_grant_id>UC4 DK63821</funding_grant_id><funding_grant_id>UC4 DK63865</funding_grant_id><funding_grant_id>U01 DK63829</funding_grant_id><funding_grant_id>HHSN267200700014C</funding_grant_id><funding_grant_id>UC4 DK112243</funding_grant_id><funding_grant_id>UC4 DK63861</funding_grant_id><funding_grant_id>UL1 TR001082</funding_grant_id><funding_grant_id>UC4 DK63863</funding_grant_id><pubmed_authors>Simell T</pubmed_authors><pubmed_authors>Johnson SB</pubmed_authors><pubmed_authors>Baxter J</pubmed_authors><pubmed_authors>TEDDY Study Group</pubmed_authors><pubmed_authors>Lynch KF</pubmed_authors><pubmed_authors>Lernmark B</pubmed_authors><pubmed_authors>Roth R</pubmed_authors><pubmed_authors>Smith L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Predicting Later Study Withdrawal in Participants Active in a Longitudinal Birth Cohort Study for 1 Year: The TEDDY Study.</name><description>&lt;h4>Objective&lt;/h4>To identify predictors of later study withdrawal among participants active in The Environmental Determinants of Diabetes in the Young (TEDDY) for 1 year. &lt;h4>Methods&lt;/h4>Multiple logistic regression was used to discriminate 3,042 children active in TEDDY for the first 3 years from 432 children who withdrew in Years 2 or 3. Predictor variables were tested in blocks-demographic, maternal lifestyle behaviors, stress and child illness, maternal reactions to child's increased diabetes risk, in-study behaviors-and a final best model developed. &lt;h4>Results&lt;/h4>Few demographic factors predicted study withdrawal. Maternal lifestyle behaviors, accuracy of the mother's risk perception, and in-study behaviors were more important. Frequent child illnesses were associated with greater </description><dates><release>2016-01-01T00:00:00Z</release><publication>2016 Apr</publication><modification>2025-04-21T18:58:00.976Z</modification><creation>2019-03-27T02:23:38Z</creation></dates><accession>S-EPMC5013835</accession><cross_references><pubmed>26412232</pubmed><doi>10.1093/jpepsy/jsv092</doi></cross_references></HashMap>