Parental Perceptions of Early Childhood In-Home Research with Monitoring: A Qualitative Study.

Objective: To explore perceptions, concerns, and enthusiasm from a diverse group of parents regarding early childhood research that involves home monitoring technologies for collecting environmental exposure data.

Study Design: A diverse group of new and expecting parents participated in semi-structured interviews. A single interviewer conducted all sessions and introduced a hypothetical longitudinal early childhood research study, which included the following novel home monitoring approaches: (1) wearable devices, (2) audio monitoring, and (3) environmental sampling.

The role of the microbiota in respiratory virus-bacterial pathobiont relationships in the upper respiratory tract.

The mechanisms by which respiratory viruses predispose to secondary bacterial infections remain poorly characterized. Using 2,409 nasopharyngeal swabs from 300 infants in Botswana, we performed a detailed analysis of factors that influence the dynamics of bacterial pathobiont colonization during infancy. We quantify the extent to which viruses increase the acquisition of , , and .

Associations between maternal diet, family eating habits and preschool children's dietary patterns: insights from the UPBEAT trial.

Background: Dietary behaviours in early life often track across the life course, influencing the development of adverse health outcomes such as obesity and cardiovascular disease. This study aimed to explore the between dietary patterns (DP) in preschool children and maternal DP and family eating habits.

Methods: We conducted a secondary analysis of 488 mother-child pairs from the UK pregnancy Better Eating and Activity Trial (UPBEAT) at 3-year follow-up.

Development and validation of a prognostic model to predict birth weight: individual participant data meta-analysis.

Objective: To predict birth weight at various potential gestational ages of delivery based on data routinely available at the first antenatal visit.

Design: Individual participant data meta-analysis.

Data Sources: Individual participant data of four cohorts (237 228 pregnancies) from the International Prediction of Pregnancy Complications (IPPIC) network dataset.

Transitions in lung microbiota landscape associate with distinct patterns of pneumonia progression.

The precise microbial determinants driving clinical outcomes in severe pneumonia are unknown. Competing ecological forces produce dynamic microbiota states in health; infection and treatment effects on microbiota state must be defined to improve pneumonia therapy. Here, we leverage our unique clinical setting, which includes systematic and serial bronchoscopic sampling in patients with suspected pneumonia, to determine lung microbial ecosystem dynamics throughout pneumonia therapy.