g patients with AAD-including prediction models or prognostic factor studies-were suboptimal, and the model performance highly varied. Substantial efforts are warranted to improve the use of the methods in this population.

Australian guidelines recommend all adults aged 50-70 years old without existing contraindications consider taking low-dose aspirin (100-300 mg per day) for at least 2.5 years to reduce their risk of developing colorectal cancer. We aimed to explore clinicians’ practices, knowledge, opinions, and barriers and facilitators to the implementation of these new guidelines.

Semistructured interviews were conducted with clinicians to whom the new guidelines may be applicable (Familial Cancer Clinic staff (geneticists, oncologists and genetic counsellors), gastroenterologists, pharmacists and general practitioners (GPs)). The Consolidated Framework for Implementation Research (CFIR) underpinned the development of the interview guide. Coding was inductive and themes were developed through consensus between the authors. Emerging themes were mapped onto the CFIR domains characteristics of the intervention, outer setting, inner setting, individual characteristics and process.

Sixty-four interviews were completed between March and October 2019. Aspirin was viewed as a safe and cheap option for cancer prevention. learn more GPs were considered by all clinicians as the most important health professionals for implementation of the guidelines. Cancer Council Australia, as a trusted organisation, was an important facilitator to guideline adoption. Uncertainty about aspirin dosage and perceived strength of the evidence, precise wording of the recommendation, previous changes to guidelines about aspirin and conflicting findings from trials in older populations were barriers to implementation.

Widespread adoption of these new guidelines could be an important strategy to reduce the incidence of bowel cancer, but this will require more active implementation strategies focused on primary care and the wider community.

Australian New Zealand Clinical Trials Registry (ACTRN12620001003965).

Australian New Zealand Clinical Trials Registry (ACTRN12620001003965).

Evidence on adverse childhood experiences (ACEs) and late-life cognitive outcomes is inconsistent, with little research among diverse racial/ethnic groups. We investigated whether ACE exposures were associated with worse late-life cognition for all racial/ethnic groups and at different ages of exposure.

Covariate-adjusted mixed-effects linear regression models estimated associations of (1) total number of ACEs experienced, (2) earliest age when ACE occurred and (3) type of ACE with overall cognition.

Kaiser Permanente Northern California members aged 65 years and older, living in Northern California.

Kaiser Healthy Aging and Diverse Life Experiences study baseline participants, aged 65 years and older (n=1661; including 403 Asian-American, 338 Latino, 427 Black and 493 white participants).

Most respondents (69%) reported one or more ACE, most frequently family illness (36%), domestic violence (23%) and parental divorce (22%). ACE count was not adversely associated with cognition overall (β=0.01; 95% CI -0.01 to 0.03), in any racial/ethnic group or for any age category of exposure. Pooling across all race/ethnicities, parent’s remarriage (β=-0.11; 95% CI -0.20 to -0.03), mother’s death (β=-0.18; 95% CI -0.30 to -0.07) and father’s death (β=-0.11; 95% CI -0.20 to -0.01) were associated with worse cognition.

Adverse childhood exposures overall were not associated with worse cognition in older adults in a diverse sample, although three ACEs were associated with worse cognitive outcomes.

Adverse childhood exposures overall were not associated with worse cognition in older adults in a diverse sample, although three ACEs were associated with worse cognitive outcomes.

Hyperuricaemia has been reported to be significantly associated with risk of obesity. However, previous studies on the association between serum uric acid (SUA) and body mass index (BMI) yielded conflicting results. The present study examined the relationship between SUA and obesity among Chinese adults.

Data were collected at Guangdong Second Provincial General Hospital in Guangzhou City, China, between January 2010 and December 2018. Participants with ≥2 medical check-up times were included in our analyses. Physical examinations and laboratory measurement variables were obtained from the medical check-up system. The high SUA level group was classified as participants with hyperuricaemia, and obesity was defined as BMI ≥28 kg/m

. Logistic regression model was performed for data at baseline. For all participants, generalised estimation equation (GEE) model was used to assess the association between SUA and obesity, where the data were repeatedly measured over the 9-year study period. Subgroup analyses wesk in women (OR=2.35) and young participants (OR=1.87) when compared with men (OR=1.70) and elderly participants (OR=1.48). The SUA cut-off points for risk of obesity using ROC curves were approximately consistent with the international standard.

Our study observed higher SUA level was associated with increased risk of obesity. More high-quality research is needed to further support these findings.

Our study observed higher SUA level was associated with increased risk of obesity. More high-quality research is needed to further support these findings.

To examine the association between hospital deaths (hospital standardised mortality ratio, HSMR), readmission, length of stay (LOS) and eight hospital characteristics.

Longitudinal observational study.

A total of 119 teaching and large-sized hospitals in Canada between fiscal years 2013-2014 and 2017-2018.

Analysis focused on indicator results and characteristics of individual Canadian hospitals.

Hospital deaths (HSMR); all patients readmitted to hospital; average LOS and a series of eight hospital characteristic summary measures number of acute care hospital stays; number of acute care beds; number of emergency department visits; average acute care resource intensity weight; total acute care resource intensity weight; hospital occupancy rate; patients admitted through the emergency department (%); patient days in alternate level of care (%).

Comparing 2013-2014 to 2017-2018, hospital deaths (HSMR) largely declined, while readmissions increased; 69% of hospitals decreased their hospital deaths (HSMR), while 65% of hospitals increased their readmissions rates.