Intrusive Thoughts and Images in Health Anxiety: Rates, Characteristics, and Responses.

Objectives: Intrusive thoughts and images in Health Anxiety are poorly understood. The current study aims to explore the rates and nature of health-related intrusive thoughts and images in people with and without Health Anxiety.

Design: We used a cross-sectional interview and survey design recruiting 82 participants (Health Anxiety: n = 37; control: n = 45).

RELAX (REducing Levels of AnXiety): a study protocol for a parallel two-arm randomised controlled trial evaluating a web-based early intervention for pregnant women with high levels of repetitive negative thinking to prevent escalating anxiety during pregnancy and after birth.

Background: Perinatal anxiety is common: up to 40% of pregnant women and new mothers experience high levels of anxiety. Given its prevalence, interventions that are low-intensity, highly accessible and cost-efficient, and target modifiable risk factors for anxiety are needed. Repetitive negative thinking (RNT)-such as worrying about ways things will go wrong in the future or ruminating about past negative events-is a risk factor for the development of anxiety.

Passive sensing data predicts stress in university students: a supervised machine learning method for digital phenotyping.

Introduction: University students are particularly susceptible to developing high levels of stress, which occur when environmental demands outweigh an individual's ability to cope. The growing advent of mental health smartphone apps has led to a surge in use by university students seeking ways to help them cope with stress. Use of these apps has afforded researchers the unique ability to collect extensive amounts of passive sensing data including GPS and step detection.

Use of smartphone sensor data in detecting and predicting depression and anxiety in young people (12-25 years): A scoping review.

Digital phenotyping is a promising method for advancing scalable detection and prediction methods in mental health research and practice. However, little is known about how digital phenotyping data are used to make inferences about youth mental health. We conducted a scoping review of 35 studies to better understand how passive sensing (e.

Study protocol: perinatal mood treatment study.

Perinatal depression (PND) affects up to 20% of women and is associated with significant impairment and disability in affected women. In addition, perinatal depression is associated with broader public health and multigenerational consequences. Innovative approaches are needed to reduce the burden of perinatal depression through identification, tracking, and treatment of depressive symptoms during the perinatal period.