Cross-sectional and longitudinal associations between glycaemic measures and grip strength in people without diabetes in the UK Biobank cohort study.

Purpose: To investigate associations between glycaemic measures (HbA1c, random glucose), and grip strength (GS) in adults without prevalent diabetes.

Methods: We included 381,715 UK Biobank participants aged 38-73 years without diabetes (any type) with complete baseline measures for GS and HbA1c (main analyses), and glucose (supplementary analyses). Cross-sectional sex- and age-stratified associations between each glycaemic measure, GS, and probable sarcopenia (low GS) were examined with regression analyses.

Teaching Parents via Online Asynchronous Training to Use Speech-Generating Devices with Their Autistic Children: A Pilot Study.

Telepractice interventions have been found to alleviate barriers families face when seeking communication interventions. This study is a multiple-baseline single-subject design that measures parent communication opportunities and parent responsiveness to determine if parent training through online modules created for parents of children with communication support needs can be effective for training parents of autistic children with communication support needs. This study replicates work by utilizing online training used as well as the same variables and definitions.

The feasibility and acceptability of engaging older adults living with multiple long-term conditions, frailty, and a recent deterioration in health in research: Findings from the Lifestyle in Later Life - Older People's Medicine (LiLL-OPM) study.

Background: Older adults living with multiple long-term conditions (MLTC, also known as multimorbidity) and frailty are more likely to experience a deterioration in their health requiring specialist referral or hospital admission than individuals without these syndromes. However, this group of older people are underserved by research meaning that there is a limited evidence base for their care. This study therefore aimed (1) to determine if it is feasible to recruit and collect quantitative data to describe the health and lifestyle of older adults living with MLTC, frailty and a recent deterioration in health and (2) to assess if taking part in research is acceptable to this group of older adults.

Identifying combinations of long-term conditions associated with sarcopenia: a cross-sectional decision tree analysis in the UK Biobank study.

Objectives: This study aims to determine whether machine learning can identify specific combinations of long-term conditions (LTC) associated with increased sarcopenia risk and hence address an important evidence gap-people with multiple LTC (MLTC) have increased risk of sarcopenia but it has not yet been established whether this is driven by specific combinations of LTC.

Design: Decision trees were used to identify combinations of LTC associated with increased sarcopenia risk. Participants were classified as being at risk of sarcopenia based on maximum grip strength of <32 kg for men and <19 kg for women.

Why are older adults living with the complexity of multiple long-term conditions, frailty and a recent deterioration in health under-served by research? A narrative synthesis review of the literature.

Older adults living with the complexity of multiple long-term conditions (MLTC), frailty and a recent deterioration in health are under-served by research. As a result, current treatment guidelines are often based on data from studies of younger and less frail participants, and often single disease focused. The aims of this review were (i) to identify why older adults living with the complexity of MLTC, frailty and a recent deterioration in health are under-served by research and (ii) to identify strategies for increasing their recruitment and retention.