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Dr Rahul Khanna

Psychiatrist and Health Executive

Alexithymia and Paradoxical Regulatory Success in Posttraumatic Stress

Abstract

Alexithymia, difficulty identifying and describing feelings, is associated with posttraumatic stress symptomology, yet the underlying mechanisms remain unclear. We tested whether alexithymia’s regulatory effects operate through disrupted emotion regulation monitoring, the capacity to accurately evaluate whether regulation has succeeded, or broader interoceptive deficits that compromise access to bodily emotional signals. Trauma-exposed participants (N = 49) completed baseline measures of alexithymia, posttraumatic stress symptoms, depression, anxiety, and interoceptive awareness, followed by three waves of ecological momentary assessment. At each wave, participants received five daily prompts for 5 consecutive days across 3 months (2,420 observations), reporting emotional clarity, perceived regulation success, body connection, and response-focused strategies (rumination, emotional hiding, pretending). Lagged models showed that among individuals high in alexithymia, higher perceived regulation success paradoxically predicted lower next-assessment emotional clarity, and greater emotional hiding and perceived success predicted worsening posttraumatic stress symptoms over 3 months. Interoceptive findings were mixed: Emotional awareness predicted better outcomes at the person level, but momentary body connection showed inconsistent associations. These findings reveal a paradoxical pattern in which subjective impressions of regulatory success precede worsening downstream emotional outcomes among individuals high in alexithymia. This pattern is consistent with a disrupted regulatory monitoring account, although whether it reflects miscalibrated evaluation, divergent regulatory goals, or systematic reporting biases cannot be determined from self-report alone and warrants replication in larger samples with objective indicators of emotional change.

Digital augmentation of glucagon-like peptide-1 (GLP-1) for obesity management

Abstract

Background

Glucagon-like peptide-1 receptor agonists (GLP-1 RAs), including semaglutide and tirzepatide, are highly effective for weight management; however, long-term outcomes depend on sustained behavioral engagement. Digital health tools may enhance these behavioral components, but evidence regarding their real-world benefit alongside pharmacotherapy remains limited.

A Pilot Randomized Controlled Trial of Telehealth-Delivered Transdiagnostic Intervention for Sleep Disorders and Circadian Rhythms (TranS-C) Among Ex-Military Personnel and First Responders

Abstract

Objective

Sleep and circadian problems are highly prevalent in ex-military personnel and first responders and often impact comorbid mental health disorders. This study tested the feasibility and efficacy of a transdiagnostic intervention—transdiagnostic intervention for sleep and circadian dysfunction (TranS-C)—in improving sleep problems and comorbid mental health symptoms in ex-military personnel and first responders with sleep and circadian disorder(s).

Digital Transformation of Rural, Regional, and Remote Australian Hospitals

Abstract

Aims

Rural, regional, and remote hospitals in Australia face barriers to digital transformation, including limited infrastructure, digital literacy, and workforce capacity. This Commentary outlines a pragmatic strategy to build rural digital readiness through the safe implementation of ambient artificial intelligence (AI) scribes as a low-risk starting point for AI adoption.

Context

AI scribes use generative AI to convert clinical conversations into documentation. They offer potential to reduce administrative burden and workforce strain while preparing rural health services for future AI use. Although the Victorian Department of Health has established minimum standards for AI scribe use, rural hospitals face unique challenges including lower AI literacy, workforce pressure, and limited research infrastructure. Insights from ongoing implementation research highlight the value of simulation methods to examine usability, workflow effects, and ethical considerations before deployment.