Publications by authors named "K E Pickering"
Background: High response rates are needed in population-based studies, as nonresponse reduces effective sample size and bias affects accuracy and decreases the generalizability of the study findings.
Objective: We tested different strategies to improve response rate and reduce nonresponse bias in a national population-based COVID-19 surveillance program in England, United Kingdom.
Methods: Over 19 rounds, a random sample of individuals aged 5 years and older from the general population in England were invited by mail to complete a web-based questionnaire and return a swab for SARS-CoV-2 testing.
Article Synopsis
- - This study aims to compare the long-term risk of developing type 2 diabetes (T2D) among women who had gestational diabetes mellitus (GDM) versus those with impaired glucose tolerance (IGT).
- - Analyzing data over 25 years, researchers found that women with GDM, especially older Māori women or those with socioeconomic challenges, had a higher risk of developing T2D compared to those with IGT, with the first five years after childbirth being crucial for prevention.
- - The research emphasizes the need for early and tailored interventions for women post-GDM, taking into account factors like age, ethnicity, and socioeconomic status to effectively reduce the risk of T2D.
Article Synopsis
- This study focuses on improving high-performance 3D printing composite filaments by enhancing fibre wetting and distribution using two techniques: solution (solvent-based) and emulsion (water-based) impregnation.
- Results showed that solution impregnation significantly increased the tensile strength of PLA/bleached flax filaments (356 MPa), while emulsion impregnation was more effective for PLA/viscose filaments (255 MPa) due to enhanced fibre interactions.
- The research highlights the potential for 3D-printed composites made from bio-derived materials, with impressive mechanical properties, supporting their use in large-scale additive manufacturing for structural applications.
Background: The extent to which type 2 diabetes (T2D) reduces life expectancy depends on the risk of complications. We aimed to characterise the relationship between risk factors for diabetes complications and life expectancy, in individuals with T2D, free from major chronic disease, in a regional database linked with national New Zealand health databases.
Methods: A prospective cohort study design was employed, analysing data from individuals with T2D drawn from the comprehensive Diabetes Care Support Service database (1994-2018).
Background: Approximately 3 million people in the United Kingdom are currently living with or beyond cancer. People undergoing treatment for cancer are at risk of complications following treatment. Increasing evidence supports the role of rehabilitation (including prehabilitation) in enhancing psychological and physical well-being in patients with cancer and improving outcomes.
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