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Showing results for "Childhood interstitial lung disease "

Young children's use of blue spaces and the impact on their health, development and environmental awareness: A qualitative study from parents' perspectives

This study examined how families with young children access and use different types of blue spaces and the health and development benefits, and potential negative effects.

SAMStat 2: quality control for next generation sequencing data

SAMStat is an efficient program to extract quality control metrics from fastq and SAM/BAM files. A distinguishing feature is that it displays sequence composition, base quality composition and mapping error profiles split by mapping quality. This allows users to rapidly identify reasons for poor mapping including the presence of untrimmed adapters or poor sequencing quality at individual read positions.

Application of the paediatric medical traumatic stress model to the mental health experience of young people living with type 1 diabetes: a qualitative study

Despite the various traumatic events that a young person living with type 1 diabetes (T1D) may experience, little is known about the burden and manifestation of traumatic stress in this population. Though mental health outcomes have been explored generally, medical trauma-sensitive approaches to understanding these experiences remain limited. We utilised a qualitative descriptive approach to explore the impact of T1D on young people’s mental health through the paediatric medical traumatic stress model.

Preschool children’s physical activity in the home, childcare and neighbourhood environment: A latent profile analysis using device-based measures

Based on the socioecological conceptual model, the physical environment within the home, childcare and neighbourhood domains are key factors that influence preschool children's physical activity; however, the relative importance of each of these domains for preschool children's physical activity is unclear.

Dimensions of the diet-exercise relationship in later life: A qualitative study

Diet and physical activity are two lifestyle behaviours that are critical for healthy ageing. The aim of this study was to explore how older adults negotiate dietary and physical activity decisions to identify areas of intersection between these two behaviours and inform health promotion interventions targeting both diet and exercise.

Impact of Body Composition on the Accuracy of a Medtronic Guardian Continuous Glucose Monitoring System

Continuous glucose monitoring systems are used in therapeutic decisions for diabetes management, however, the impact of body composition on CGM accuracy is not known. Body composition variables were collected in an observational study designed to determine the accuracy of an investigational Medtronic Guardian™ sensor 3.

Effect of Neck-Deep Immersion in Cool or Thermoneutral Water on Blood Glucose Levels in Individuals With Type 1 Diabetes

It is unclear whether immersion in cool water, typical of many beaches, increases the concentration of blood glucose in individuals with type 1 diabetes mellitus (T1DM).

Effects of simulated high altitude on blood glucose levels during exercise in individuals with Type 1 Diabetes

Current exercise guidelines for individuals with type 1 diabetes (T1D) do not consider the impact that high altitude may have on blood glucose levels (BGL) during exercise.

Urinary albumin/creatinine ratio tertiles predict risk of diabetic retinopathy progression: a natural history study from the Adolescent Cardio-Renal Intervention Trial (AdDIT) observational cohort

We hypothesised that adolescents with type 1 diabetes with a urinary albumin/creatinine ratio (ACR) in the upper tertile of the normal range (high ACR) are at greater risk of three-step diabetic retinopathy progression (3DR) independent of glycaemic control.

International comparison of glycaemic control in people with type 1 diabetes: an update and extension

o update and extend a previous cross-sectional international comparison of glycaemic control in people with type 1 diabetes. Methods: Data were obtained for 520,392 children and adults with type 1 diabetes from 17 population and five clinic-based data sources in countries or regions between 2016 and 2020.