ISSN 1662-4009 (online)

ey0016.7-8 | Environmental Factors and Puberty | ESPEYB16

7.8. Systematic review and meta-analysis of the association between childhood physical activity and age at menarche

L Calthorpe , S Brage , KK Ong

To read the full abstract: Acta Paediatr. 2019 Jun;108(6):1008–1015.This meta-analysis reviews the association between physical activity and age at menarche.The onset of puberty is a multifactorial trait including a wide range of genetic and environmental components. Age at menarche has been associated with several environmental factors such as ...

ey0020.5-3 | Clinical Guidance and Studies | ESPEYB20

5.3. Pre-pubertal accelerometer-assessed physical activity and timing of puberty in British boys and girls: the Millennium Cohort Study

TS Cheng , S Brage , EMF van Sluijs , KK Ong

Brief summary: This longitudinal UK cohort study examined the prospective associations between objectively measured physical activity, independently of BMI, and pubertal timing in boys and girls.This large study analyzed device-measured physical activity and its intensity in relation to puberty timing, using accelerometers worn on the right hip. A previous meta-analysis reported that female athletes had later age at menarche than non-athletes (1), but it...

ey0019.15-4 | Diabetes | ESPEYB19

15.4. Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals: An IMI DIRECT study

A Wesolowska-Andersen , CA Brorsson , R Bizzotto , A Mari , A Tura , R Koivula , A Mahajan , A Vinuela , JF Tajes , S Sharma , M Haid , C Prehn , A Artati , MG Hong , PB Musholt , A Kurbasic , F De Masi , K Tsirigos , HK Pedersen , V Gudmundsdottir , CE Thomas , K Banasik , C Jennison , A Jones , G Kennedy , J Bell , L Thomas , G Frost , H Thomsen , K Allin , TH Hansen , H Vestergaard , T Hansen , F Rutters , P Elders , L t'Hart , A Bonnefond , M Canouil , S Brage , T Kokkola , A Heggie , D McEvoy , A Hattersley , T McDonald , H Teare , M Ridderstrale , M Walker , I Forgie , GN Giordano , P Froguel , I Pavo , H Ruetten , O Pedersen , E Dermitzakis , PW Franks , JM Schwenk , J Adamski , E Pearson , MI McCarthy , S Brunak , Consortium ID

Cell Rep Med. 2022;3(1):100477. doi: 10.1016/j.xcrm.2021.100477. PubMed ID: 35106505Brief summary: To explore clinical heterogeneity, this study analyzed baseline visit data on 726 adults with newly diagnosed Type 2 diabetes (T2D) adults and identified in 4 distinct profiles (clusters of phenotypes), which predicted differences in subsequent disease progression and anti-diabetic treatments...