An application of matching algorithms to generalize small-area estimates of chronic pain prevalence to neighbourhoods across England.

Background: Local decision-makers lack granular data on the prevalence of chronic pain in their populations. We applied matching methods to generalize estimates from one local survey in England to other neighborhoods across the country with a similar sociodemographic composition.

Methods: We used propensity score matching to match lower-layer super output areas (LSOA) across England with 230 surveyed LSOAs in North Staffordshire by age, sex, ethnicity, deprivation, and rurality.

Multidimensional Sleep Health, Glycemic Control, and Self-Reported Outcomes in Type 1 Diabetes: A Cross-Sectional Study.

Context: Sleep health is multidimensional. While studies have shown associations between certain sleep dimensions and health in type 1 diabetes (T1D), global sleep health has rarely been considered.

Objective: To examine the associations between individual sleep dimensions and multidimensional sleep health (MSH) on glycemic control and self-reported outcomes in T1D.

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Background: Cannabis is the most commonly used illicit substance in Ireland and globally. It is most likely to be used in adolescence, a period of biopsychosocial vulnerability to maladaptive behaviours. This study aims to investigate the risk and protective factors for cannabis use among adolescents.

An empirical test of Baker's law: Dispersal favors increased rates of self-fertilization.

Baker's law is the observation that recently dispersed populations are more likely to be self-fertilizing than populations at the range core. The explanatory hypothesis is that dispersal favors self-fertilization due to reproductive assurance. Caenorhabditis elegans nematodes reproduce via either self-fertilization or outcrossing and frequently disperse in small numbers to new bacterial food sources.

Protocol for a feasibility and acceptability study for UK general population paediatric type 1 diabetes screening-the EarLy Surveillance for Autoimmune diabetes (ELSA) study.

Aim: The EarLy Surveillance for Autoimmune (ELSA) study aims to explore the feasibility and acceptability of UK paediatric general population screening for type 1 diabetes.

Methods: We aim to screen 20,000 children aged 3-13 years for islet-specific autoantibodies through dried blood spot sample collection at home, hospital or community settings. Children with two or more autoantibodies are offered metabolic staging via oral glucose challenge testing.