Public Health.

Background: Most people with dementia reside in low- and middle-income countries (LMICs) where resources, research, services, and support are often very limited. Research into dementia risk prediction is scarce in LMIC settings, and those prediction models developed in high-income countries generally do not transport well to LMICs. This suggesting a dire need for LMIC specific dementia risk models.

Disease-Specific Risk Models for Predicting Dementia: An Umbrella Review.

Dementia is a leading cause of disability and death globally. Individuals with diseases such as cardiovascular, cardiometabolic and cerebrovascular disease are often at increased dementia risk. However, while numerous models have been developed to predict dementia, they are often not tailored to disease-specific groups.

Dementia risk prediction modelling in low- and middle-income countries: current state of evidence.

Dementia is a leading cause of death and disability with over 60% of cases residing in low- and middle-income countries (LMICs). Therefore, new strategies to mitigate risk are urgently needed. However, despite the high burden of disease associated with dementia in LMICs, research into dementia risk profiling and risk prediction modelling is limited.

Assessing the Reliability of the Sexual Violence Questionnaire in Sport among Spanish-Speaking Athletes.

The prevalence of sexual harassment and abuse in school sport, specifically by coaches against their athletes, remains a concerning and pervasive issue. In an attempt to better understand and prevent specific coach-behaviours associated with such sexual misconduct, researchers have developed the Sexual Violence Questionnaire in Sport. While the reliability of this measurement tool has been tested in Anglo-Saxon cultural contexts, it is not known whether the questionnaire is applicable to other cultural contexts.

What's New in Dementia Risk Prediction Modelling? An Updated Systematic Review.

Introduction: Identifying individuals at high risk of dementia is critical to optimized clinical care, formulating effective preventative strategies, and determining eligibility for clinical trials. Since our previous systematic reviews in 2010 and 2015, there has been a surge in dementia risk prediction modelling. The aim of this study was to update our previous reviews to explore, and critically review, new developments in dementia risk modelling.