Dhirendra PaudelMental Health and Yoga Pvt Ltd
M.Med. Psychiatry and Mental Health
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Citations since 2017
9 Research Items
Dr. Dhirendra Paudel is a Nepal-based Freelance Consultant, Psychiatrist, Trainer, and Researcher with over a decade of clinical experience. He specializes in psychotherapeutic interventions, psychopharmacology, and sleep medicine, and provides consultancy services and training on mhGAP and SEL. Dr. Paudel's research work aims to improve the quality of mental health care considering cultural factors, alternative therapies, and interplay between biological, psychological, and social factors.
December 2021 - present
Mental Health and Yoga Pvt Ltd
September 2021 - present
September 2019 - September 2021
ABSTRACT Background: Mental illnesses have become a significant global health concern, with individuals often seeking self-help treatments before seeking professional assistance. Complementary and alternative medicine (CAM), including yoga, has gained popularity as a holistic approach to address mental health concerns. However, there is a lack of p...
Objective: To find publications trend about cognitive behavior therapy for insomnia (CBTI) using bibliometric and visualization analysis. In this study, the authors sought to identify the publication trends of peer-reviewed articles about CBTI. Materials and methods: Analyses were focused on the past 18 years from 2004 to 2021. All searches were p...
The coronavirus disease 2019 (COVID-19) pandemic can be overwhelming leading to strong emotions and distress. Most studies reported the impact on mental health due to uncertainty, fear, and anxiety about the pandemic and post pandemic states. The sufferers may present with a variety of symptoms of psychological distress. Failure to communicate this...
Virtual reality exposure therapy (VRET) is becoming popular for treating phobia and anxiety disorder. The recent pandemic of COVID-19 not only causes infection per se but also has an impact on mental health. This case series aimed to explore the role of VRET in the intervention of psychiatric illnesses with chief complaints of fear of COVID-19 infe...
Objectives: The objective of this study was to estimate the features of suicide rate and its association with antidepressant prescriptions during the past decade in China. Methods: Official data on suicides were obtained and stratified by four age groups, gender, urban/rural areas, and regions (East, Central, and West). The annual antidepressant...
The COVID-19 pandemic is having an impact on physical and mental health. Most studies report the impact on mental health and mental distress during the pandemic. As a result of various stressors (such as lockdown, quarantines, and misinformation) there is heightened fear of a pandemic. The sufferer may experience a variety of symptoms of anxiety, d...
Background and aims: Fluvoxamine can markedly increase the serum melatonin level, which regulates human circadian rhythm. However, only limited research has evaluated the effects of fluvoxamine on sleep architecture. Thus, the current study aims to investigate the effect of fluvoxamine on PSG characteristics and the impact of persistent insomnia on...
Introduction Previous evidence suggested that online self-guided sleep intervention is efficacious in improving treatment outcomes in patients with persistent insomnia. However, research on online sleep interventions targeting episodic insomnia has been scarce. This study aims to evaluate the effectiveness of brief e-aid cognitive behavioural thera...
Purpose We report a case with symptoms and signs of obstructive sleep apnea (OSA), depression, and narcolepsy. Polysomnographic (PSG) and multiple sleep latency test (MSLT) findings, clinical characteristics, and diagnostic challenges in this case are discussed. Methods A 23-year-old single male presented with excessive daytime sleepiness, low moo...
I did Negative Binomial Regression on Disease A, which is a count data. Due to over-dispersion Poisson regression was unacceptable.I created 4 models to check the effect of different drugs on Disease A.I put time as a continuous variable. Assuming that all assumptions were fulfilled and output is from SPSS. How to interpret the four models and the change in IRR with Time and Drug Variable?
Note: Data is Drugs prescribed in a population and Disease A in a population.