Introduction: Diagnostic performance of optical coherence tomography (OCT) to detect Alzheimer's disease (AD) and mild cognitive impairment (MCI) remains limited. We aimed to develop a deep-learning algorithm using OCT to detect AD and MCI.
Methods: We performed a cross-sectional study involving 228 Asian participants (173 cases/55 controls) for model development and testing on 68 Asian (52 cases/16 controls) and 85 White (39 cases/46 controls) participants.
Objectives: To examine the predictors of parent-child bonding and parenting satisfaction using structural equation models at three time points across the perinatal period: (1) during pregnancy at >24 gestational weeks, (2) one month postpartum, and (3) three months postpartum.
Methods: This longitudinal exploratory quantitative study recruited a convenient sample of 118 heterosexual couples (236 participants; 118 mothers and 118 fathers) from maternity clinics of a public tertiary hospital in Singapore. Descriptive statistics were used to summarize the parents' characteristics and study variables.
Aims: This study aims to identify factors associated with mental health literacy (mental health knowledge and attitudes towards mental health and help-seeking behaviours), depression and anxiety amongst adolescents, and test the hypothesised model by examining the interrelationships between these outcomes.
Design: Cross-sectional descriptive quantitative research.
Methods: Using convenient sampling, 615 adolescents from four public schools completed online questionnaires measuring mental health literacy, depression, and anxiety.