Publications by authors named "H A DAVIS"

Background: Mental health among higher education students is a critical public health concern, with numerous studies documenting its impact on student well-being and academic performance. However, comprehensive research on the factors contributing to mental health deterioration, including barriers to seeking psychological help, remains insufficient. Gathering evidence on this topic is crucial to advancing policies, advocacy, and improving mental health services in higher education.

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Background: The internet provides valuable benefits in supporting our lives. However, concerns arise regarding internet addiction, a behavioural disorder due to excessive and uncontrolled internet use that has harmful effects on human health and wellbeing. Studies highlighted the potential of digital behaviour change interventions to address health behaviour problems.

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Objectives: Children with unilateral hearing loss experience difficulties in classroom listening situations. There are a limited number of validated questionnaires available for monitoring listening development and quantifying the challenges school-aged children with unilateral hearing loss experience. The purpose of this study was to evaluate a survey that describes the classroom listening challenges reported by children with unilateral hearing loss with and without the use of personal hearing devices (air conduction hearing aid, bone conduction hearing aid, cochlear implant, contralateral routing of signals system).

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Purpose: School-age children with unilateral hearing loss are at an increased risk of exhibiting academic difficulties. Yet, approximately half of children with unilateral hearing loss will not require additional support. There is a dearth of information to assist in determining which of these children will express academic deficits and which will not.

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Background: Previous epidemiologic studies of autoimmune diseases in the United States (US) have included a limited number of diseases or used meta-analyses that rely on different data collection methods and analyses for each disease.

Methods: To estimate the prevalence of autoimmune diseases in the US, we used electronic health record data from six large medical systems in the US. We developed a software program using common methodology to compute the estimated prevalence of autoimmune diseases alone and in aggregate that can be readily used by other investigators to replicate or modify the analysis over time.

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