Accessing and engaging with antenatal care: an interview study of teenage women

Background: Pregnant teenagers in rural and regional areas experience distinct disadvantages, that are not simply a function of their age, and these have a substantial impact on their health and that of their baby. Studies demonstrate that antenatal care improves pregnancy outcomes amongst pregnant women, especially adolescents. Understanding teenager’s views and experiences of pregnancy and motherhood is important to ensure antenatal care meets young women’s needs. This study explored teenage women’s experiences and perceptions of barriers and facilitators to engaging in pregnancy care in rural and regional Victoria, Australia. Methods: Between February–October 2017, pregnant women aged ≤19 years were purposively recruited from one regional and two rural health services in Victoria. Semi-structured, face-to-face interviews guided by naturalistic inquiry were conducted and an inductive approach to analysis was applied. Results: Four key themes emerged from the analysis of the transcripts of 16 interviews: Valuing pregnancy care, Interactions with Maternity Service, Woman-centred care, and Support systems. Teenage women primary motivation to attend care was to ensure their baby’s wellbeing and lack of engagement occurred when the relevance of antenatal care was not understood. Appointment flexibility and an accessible location was important; most participants were reliant on others for transport. Continuity of carer and respectful, non-judgement communication by staff was highly valued. Many young women had fractured families with pregnancy diminishing their social world, yet having a baby gave them purpose in their lives. Conclusion: Maternity services and health professionals that provide flexible, adaptable women-centred care and support through pregnancy and early motherhood will assist young women’s engagement in antenatal care

Magnetic properties of the three-dimensional Hubbard model at half filling

We study the magnetic properties of the 3d Hubbard model at half-filling in the TPSC formalism, previously developed for the 2d model. We focus on the N\'eel transition approached from the disordered side and on the paramagnetic phase. We find a very good quantitative agreement with Dynamical Mean-Field results for the isotropic 3d model. Calculations on finite size lattices also provide satisfactory comparisons with Monte Carlo results up to the intermediate coupling regime. We point out a qualitative difference between the isotropic 3d case, and the 2d or anisotropic 3d cases for the double occupation factor. Even for this local correlation function, 2d or anisotropic 3d cases are out of reach of DMF: this comes from the inability of DMF to account for antiferromagnetic fluctuations, which are crucial.Comment: RevTex, 9 pages +10 figure

Identifying the cognitive predictors of early counting and calculation skills: Evidence from a longitudinal study.

The extent that phonological, visual-spatial STM and non-symbolic quantitative skills support the development of counting and calculation skills was examined in this 14-month longitudinal study of 125 children. Initial assessments were made when the children were 4:8. Phonological awareness, visual-spatial STM and non-symbolic approximate discrimination predicted growth in early calculation skills. These results suggest that both the approximate number system and domain-general phonological and visual-spatial skills support early calculation. In contrast, only performance on a small non-symbolic quantity discrimination task (where the presented quantities were always within the subitising range) predicted growth in cardinal counting skills. These results suggest that the development of counting and calculation are supported by different cognitive abilities

Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits

Few genome-wide association studies (GWAS) account for environmental exposures, like smoking, potentially impacting the overall trait variance when investigating the genetic contribution to obesity-related traits. Here, we use GWAS data from 51,080 current smokers and 190,178 nonsmokers (87% European descent) to identify loci influencing BMI and central adiposity, measured as waist circumference and waist-to-hip ratio both adjusted for BMI. We identify 23 novel genetic loci, and 9 loci with convincing evidence of gene-smoking interaction (GxSMK) on obesity-related traits. We show consistent direction of effect for all identified loci and significance for 18 novel and for 5 interaction loci in an independent study sample. These loci highlight novel biological functions, including response to oxidative stress, addictive behaviour, and regulatory functions emphasizing the importance of accounting for environment in genetic analyses. Our results suggest that tobacco smoking may alter the genetic susceptibility to overall adiposity and body fat distribution.Peer reviewe

Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution.

The early detection of relapse following primary surgery for non-small-cell lung cancer and the characterization of emerging subclones, which seed metastatic sites, might offer new therapeutic approaches for limiting tumour recurrence. The ability to track the evolutionary dynamics of early-stage lung cancer non-invasively in circulating tumour DNA (ctDNA) has not yet been demonstrated. Here we use a tumour-specific phylogenetic approach to profile the ctDNA of the first 100 TRACERx (Tracking Non-Small-Cell Lung Cancer Evolution Through Therapy (Rx)) study participants, including one patient who was also recruited to the PEACE (Posthumous Evaluation of Advanced Cancer Environment) post-mortem study. We identify independent predictors of ctDNA release and analyse the tumour-volume detection limit. Through blinded profiling of postoperative plasma, we observe evidence of adjuvant chemotherapy resistance and identify patients who are very likely to experience recurrence of their lung cancer. Finally, we show that phylogenetic ctDNA profiling tracks the subclonal nature of lung cancer relapse and metastasis, providing a new approach for ctDNA-driven therapeutic studies