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Personal measurements of radiofrequency electromagnetic fields (RF-EMF) have been used in several studies to characterise personal exposure in daily life, but such data are limitedly available for adolescents, and not yet for the United Kingdom (UK). In this study, we aimed to characterise personal exposure to RF-EMF in adolescents and to study the association between exposure and rules applied at school and at home to restrict wireless communication use, likely implemented to reduce other effects of mobile technology (e.g. distraction). We measured exposure to RF-EMF for 16 common frequency bands (87.5 MHz–3.5 GHz), using portable measurement devices (ExpoM-RF), in a subsample of adolescents participating in the cohort Study of Cognition, Adolescents and Mobile Phones (SCAMP) from Greater London (UK) (n = 188). School and home rules were assessed by questionnaire and concerned the school's availability of WiFi and mobile phone policy, and parental restrictions on permitted mobile phone use. Adolescents recorded their activities in real time using a diary app on a study smartphone, while characterizing their personal RF-EMF exposure in daily life, during different activities and times of the day. Data analysis was done for 148 adolescents from 29 schools who recorded RF-EMF data for a median duration of 47 h. The majority (74%) of adolescents spent part of their time at school during the measurement period. Median total RF-EMF exposure was 40 μW/m2 at home, 94 μW/m2 at school, and 100 μW/m2 overall. In general, restrictions at school or at home made little difference for adolescents’ measured exposure to RF-EMF, except for uplink exposure from mobile phones while at school, which was found to be significantly lower for adolescents attending schools not permitting phone use at all, compared to adolescents attending schools allowing mobile phone use during breaks. This difference was not statistically significant for total personal exposure. Total exposure to RF-EMF in adolescents living in Greater London tended to be higher compared to exposure levels reported in other European countries. This study suggests that school policies and parental restrictions are not associated with a lower RF-EMF exposure in adolescents.

Glycaemic traits fasting insulin (FI), fasting glucose (FG), 2-hour glucose (2hGlu) and glycated haemoglobin (HbA1c) are used to diagnose and monitor type 2 diabetes (T2D). MAGIC (Meta-Analysis of Glucose and Insulin-related traits Consortium) identified 242 loci associated with these traits in 281,416 individuals, from 6 ancestries. European (EUR) ancestry fine-mapping resulted in credible sets accounting for 99% of the posterior probability of association (99CS) with a median of 55 SNPs. Trans-ancestry (TA) fine-mapping led to 99CS with a median of 45 SNPs. Here, we investigated whether fine-mapping resolution could be improved by leveraging data across multiple related traits. We used the novel method FLexible And SHared information Fine-Mapping (flashfm), which takes advantage of sharing of information between traits. We compared its performance with single-trait FINEMAP results. We conducted EUR fine-mapping for 53 loci associated with ≥2 glycaemic traits (p Disclosure J. Soenksen: None. J. Chen: None. J. L. Asimit: None. Magic: n/a. I. Barroso: Stock/Shareholder; Self; Incyte Corporation, Stock/Shareholder; Spouse/Partner; GlaxoSmithKline plc. Funding Research England; Medical Research Council (MR/R021368/1)