International Conference on applying Psychology for Suicide Prevention-Our Abstracts

Wellness Space team is going to present total of 3 abstracts (please see below) at the conference.  Please join us. Abstract #1 -Effective Strategies for Suicide Risk Assessment and Intervention: A Practical Guide Utilizing the ASQ Tool for Screening Background: Suicide behaviour (including suicide thoughts, plans, and history of attempts) requires specialised screening and intervention. Suicide is a primary cause of death in the young population of India (Age <39), and hence, psychologists and psychotherapists need a framework to facilitate better screening and recovery. Objective: The study, based on the ASQ (Ask Suicide Screening Questions) toolkit, provides

International Conference on applying Psychology for Suicide Prevention-Our Abstracts2025-05-21T15:23:00+05:30

Effect of lifestyle choices on Cerebrospinal Fluid (CSF) pulsations Journal of Applied Consciousness Studies

Abstract: CSF flow plays a critical role in clearing metabolic waste from the brain. The flow depends on several factors, including cardiac and respiratory oscillations. The process of CSF pulsations also follows a circadian pattern and plays a central role in maintaining the homeostasis of the Brain and the Central Nervous System (CNS). Any disruption to this flow triggers a homeostatic imbalance in the central nervous system and could increase the risk of several chronic conditions, including Alzheimer’s. This commentary highlights recent research to articulate the importance of CSF flow and provides insights into the drivers of the CSF flow.

Effect of lifestyle choices on Cerebrospinal Fluid (CSF) pulsations Journal of Applied Consciousness Studies2025-05-21T13:01:47+05:30

Effect of Lifestyle Choices on Cerebrospinal Fluid Pulsations

Our recent publication highlights the Effect of Lifestyle Choices on Cerebrospinal Fluid Pulsations. This research extends our work linking lifestyle choices with (a) chronic disease risk, (b) immune system imbalance risk, and (c) mental health issues-related risk.   The article highlights the importance of enhancing autonomic function through slow breathing (for example, research we have done on Bhramari and self-hypnosis gets additional backing through the findings of this review article). Several examples of the role of circadian rhythms and the need to align our lives to that rhythm are also provided. Abstract: Cerebrospinal fluid (CSF) flow plays a critical role in

Effect of Lifestyle Choices on Cerebrospinal Fluid Pulsations2025-05-21T15:08:55+05:30

Conference presentation: ACE and suicide behavior at NAOP

The below abstract was presented as part of the symposium at NAOP 2023 in Ahmedabad. Abstract # 4: A pilot study to understand the presence of adverse childhood experiences (childhood trauma) in adults with a history of suicide attempts at a well-being center in India Presenter: Neha Pandya Other contributors: Gunjan Y Trivedi, Hemalatha Ramani, Riri G Trivedi Abstract: Background: Suicide is India’s leading cause of death among adolescents and young adults. Evidence has highlighted the link between adverse childhood experiences (ACE) and suicidal behavior. The study attempts to understand the presence of ACEs among individuals with a history of

Conference presentation: ACE and suicide behavior at NAOP2025-05-21T12:59:07+05:30

Predicting suicidal behavior among Indian adults using childhood trauma, mental health questionnaires and machine learning cascade ensembles

We are happy to share our recent conference presentation at Society of Energy & Emotions, along with Indian Institute of Technology, Mandi that seeks to predict suicidal behaviour among Indian adults using Childhood Trauma, Mental Health Questionnaires & Machine Learning Cascade. The abstract of the research that is accepted at Comsys 2023 is mentioned below: Abstract. Among young adults, suicide is India's leading cause of death, accounting for an alarming national suicide rate of around 16%. In recent years, machine learning algorithms have emerged to predict suicidal behavior using various behavioral traits. But to date, the efficacy of machine

Predicting suicidal behavior among Indian adults using childhood trauma, mental health questionnaires and machine learning cascade ensembles2025-05-21T12:59:54+05:30
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