Intolerance of uncertainty, aging, and anxiety and mental health concerns: A scoping review and meta-analysis.

Although intolerance of uncertainty (IU) is associated with negative outcomes, studies focusing on older adults are still emerging. Specifically, the relationship between IU and psychological health in this population remains unclear. Moreover, no review has focused on understanding the unique contributions of IU and aging to anxiety and mental health in older adults.

Surface-Based Ultrasound Scans for the Screening of Prostate Cancer.

Surface-based ultrasound (SUS) systems have undergone substantial improvement over the years in image quality, ease-of-use, and reduction in size. Their ability to image organs non-invasively makes them a prime technology for the diagnosis and monitoring of various diseases and conditions. An example is the screening/risk- stratification of prostate cancer (PCa) using prostate-specific antigen density (PSAD).

Managing Uncertainty and Loneliness: Protective and Risk Factors Impacting on Older People's Mental Health in Hong Kong.

This study investigated the roles of loneliness and prospective intolerance of uncertainty (IU-P) on mental health, and identified the sources of stress and joy during the COVID-19 in Hong Kong. Two thousand two hundred and fifty-eight older adults completed the survey. Older adults who had higher levels of loneliness and IU-P were more likely to have poor mental health.

Does Playing Mahjong Benefit Older Individuals? A Scoping Review.

Playing mahjong is a popular intellectual and social leisure activity in Asian countries. It is culturally believed that this activity is beneficial to cognitive and psychological functioning in older adults. However, empirical evidence of the benefits of playing mahjong is scant and scattered across the Western and Asian literature.

EgoActive: Integrated Wireless Wearable Sensors for Capturing Infant Egocentric Auditory-Visual Statistics and Autonomic Nervous System Function 'in the Wild'.

There have been sustained efforts toward using naturalistic methods in developmental science to measure infant behaviors in the real world from an egocentric perspective because statistical regularities in the environment can shape and be shaped by the developing infant. However, there is no user-friendly and unobtrusive technology to densely and reliably sample life in the wild. To address this gap, we present the design, implementation and validation of the EgoActive platform, which addresses limitations of existing wearable technologies for developmental research.