This study investigated the relationship of tinnitus with mental health and health-related quality of life (QoL) in older people. Data source included 5,129 community-dwelling men and women ≥60 years old from the Korean National Health and Nutrition Examination Survey. Tinnitus was categorized into three groups normal, tolerable tinnitus, and annoying tinnitus. Mental health and health-related QoL were assessed according to three dimensions (depressive mood, psychological distress, and suicidal ideation) and five domains (impaired mobility, impaired self-care, impaired usual activities, pain/discomfort, and anxiety/depression). The odds ratios (ORs) and 95% confidence intervals (CIs) of mental health and health-related QoL were calculated using multiple logistic regression analyses. Annoying tinnitus was positively and independently associated with deteriorated mental health and health-related QoL, suggesting comprehensive care is needed in older people with annoying tinnitus.

Cochlear implants (CIs) are biomedical devices that restore sound perception for people with severe-to-profound sensorineural hearing loss. Most postlingually deafened CI users are able to achieve excellent speech recognition in quiet environments. However, current CI sound processors remain limited in their ability to deliver fine spectrotemporal information, making it difficult for CI users to perceive complex sounds. Limited access to complex acoustic cues such as music, environmental sounds, lexical tones, and voice emotion may have significant ramifications on quality of life, social development, and community interactions.

The purpose of this review article is to summarize the literature on CIs and music perception, with an emphasis on music training in pediatric CI recipients. The findings have implications on our understanding of noninvasive, accessible methods for improving auditory processing and may help advance our ability to improve sound quality and performance for implantees.

Music training, particularly in the pediatric population, may be able to continue to enhance auditory processing even after performance plateaus. The effects of these training programs appear generalizable to non-trained musical tasks, speech prosody and, emotion perception. Future studies should employ rigorous control groups involving a non-musical acoustic intervention, standardized auditory stimuli, and the provision of feedback.

Music training, particularly in the pediatric population, may be able to continue to enhance auditory processing even after performance plateaus. The effects of these training programs appear generalizable to non-trained musical tasks, speech prosody and, emotion perception. Future studies should employ rigorous control groups involving a non-musical acoustic intervention, standardized auditory stimuli, and the provision of feedback.

We examined the potential of conversational agents (CAs) to support older adults’ self-care related to chronic illness in light of lessons learned from decades of pedagogical agent research, which investigates the impact and efficacy of CAs for a wide range of learners.

The role of CAs in education (i.e., pedagogical agents) has been long studied, but their potential for supporting self-care has received less attention, especially for older adults.

We reviewed work on pedagogical agents and considered how it informs the design of CAs for older adults. click here We propose a framework for designing CAs to support older adult self-care, which organizes a review of work in this area and integration with the pedagogical agent literature.

Our review of the pedagogical agent literature revealed an evolution from teaching machines to interactive, social systems that influence student motivational as well as learning outcomes. To integrate this review with work on CAs and self-care, we developed a framework that specifies how self-care goals evolve with stages of an illness, communication goals that support self-care at each stage, patient needs, and requirements for CAs to support these needs. The review identified an agenda for future research on CA functions and features that help older adults accept need for self-care, establish self-care, and sustain self-care over time.

Integrating insights from the pedagogical agent literature with research on developing CAs for self-care defines an agenda for developing and evaluating CAs to help older adults manage illness.

Integrating insights from the pedagogical agent literature with research on developing CAs for self-care defines an agenda for developing and evaluating CAs to help older adults manage illness.The concept of “double jeopardy”-being both older and Black-describes how racism and ageism together shape higher risks for coronavirus exposure, COVID-19 disease, and poor health outcomes for older Black adults. Black people and older adults are the two groups most affected by COVID-19 morbidity and mortality. Double jeopardy, as a race- and age-informed analysis, demonstrates how Black race and older age are associated with practices and policies that shape key life circumstances (e.g., racial residential segregation, family and household composition) and resources in ways that embody elevated risk for COVID-19. The concept of double jeopardy underscores long-standing race- and age-based inequities and social vulnerabilities that produce devastating COVID-19 related deaths and injuries for older Black adults. Developing policies and actions that address race- and age-based inequities and social vulnerabilities can lower risks and enhance protective factors to ensure the health of older Black Americans during the COVID-19 pandemic.

COVID-19 is a worldwide pandemic that is mild in most patients but can result in a pneumonia like illness with progression to acute respiratory distress syndrome and death. Predicting the disease severity at time of diagnosis can be helpful in prioritizing hospital admission and resources.

We prospectively recruited 1096 consecutive patients of whom 643 met the inclusion criterion with COVID-19 from Jaber Hospital, a COVID-19 facility in Kuwait, between 24 February and 20 April 2020. The primary endpoint of interest was disease severity defined algorithmically. Predefined risk variables were collected at the time of PCR based diagnosis of the infection. Prognostic model development used 5-fold cross-validated regularized logit regression. The model was externally validated against data from Wuhan, China.

There were 643 patients with clinical course data of whom 94 developed severe COVID-19. In the final model, age, CRP, procalcitonin, lymphocyte percentage, monocyte percentages and serum albumin were independent predictors of a more severe illness course.