{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T08:37:09Z","timestamp":1779179829120,"version":"3.51.4"},"reference-count":21,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2022,1,22]],"date-time":"2022-01-22T00:00:00Z","timestamp":1642809600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Diabet Med"],"published-print":{"date-parts":[[2022,7]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Aims<\/jats:title><jats:p>It is well established that low birthweight is associated with subsequent risk of type 2 diabetes (T2DM). The aim of our study was to use a large birth cohort linked to a national diabetes registry to investigate how birthweight impacts the phenotype at diagnosis of T2DM and the subsequent rate of glycaemic deterioration.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We linked the Walker Birth Cohort (48,000 births, 1952\u20131966, Tayside, Scotland) to the national diabetes registry in Scotland (SCI\u2010Diabetes). Birthweight was adjusted for gestational age. Simple linear regression was performed to assess the impact of the adjusted birthweight on the diabetes phenotype at diagnosis. This was then built up into a multiple regression model to allow for the adjustment of confounding variables. A cox proportional hazards model was then used to evaluate the impact of birthweight on diabetes progression.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Lower birthweights were associated with a 293 day younger age of diagnosis of T2DM per 1\u00a0kg reduction in birthweight, <jats:italic>p\u00a0<\/jats:italic>=\u00a00.005; and a 1.29\u00a0kg\/m<jats:sup>2<\/jats:sup> lower BMI at diagnosis per 1\u00a0kg reduction in birthweight, <jats:italic>p\u00a0<\/jats:italic>&lt;\u00a00.001. There was no significant association of birthweight on diabetes progression.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>For the first time, we have shown that a lower birthweight is associated with younger onset of T2DM, with those with lower birthweight also being slimmer at diagnosis. These results suggest that lower birthweight impacts on T2DM phenotype via reduced beta\u2010cell function rather than insulin resistance.<\/jats:p><\/jats:sec>","DOI":"10.1111\/dme.14792","type":"journal-article","created":{"date-parts":[[2022,1,14]],"date-time":"2022-01-14T17:20:06Z","timestamp":1642180806000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["The impact of birthweight on subsequent phenotype of type 2 diabetes in later life"],"prefix":"10.1111","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3084-9104","authenticated-orcid":false,"given":"Christian","family":"Paulina","sequence":"first","affiliation":[{"name":"Department of Population Health and Genomics School of Medicine University of Dundee  Dundee Scotland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4902-1040","authenticated-orcid":false,"given":"Louise A.","family":"Donnelly","sequence":"additional","affiliation":[{"name":"Department of Population Health and Genomics School of Medicine University of Dundee  Dundee Scotland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9237-8585","authenticated-orcid":false,"given":"Ewan R.","family":"Pearson","sequence":"additional","affiliation":[{"name":"Department of Population Health and Genomics School of Medicine University of Dundee  Dundee Scotland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2022,1,22]]},"reference":[{"issue":"6","key":"e_1_2_8_2_1","first-page":"5313","article-title":"Birth weight and type 2 diabetes: a meta\u2010analysis","volume":"14","author":"Mi D","year":"2017","journal-title":"Exp Ther Med"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1161\/JAHA.118.008870"},{"issue":"3","key":"e_1_2_8_4_1","first-page":"227","article-title":"Explaining odds ratios","volume":"19","author":"Szumilas M","year":"2010","journal-title":"J can Acad Child Adolesc Psychiatry"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1093\/aje\/kwk071"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.301.6761.1111"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00400248"},{"key":"e_1_2_8_8_1","unstructured":"Data Anonymisation\u202f: Health Informatics Centre [Internet].University of Dundee. 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