Bimonthly, Established in 1959
Open access journal

In this issue

Systematic review and meta-analysis

The role of serotonin in depression and its treatment
Authors: Emily Roberts, Mark Thompson

Summary: Depression is a widespread disorder that impacts millions globally. While various treatments exist, serotonin’s role remains a focal point due to its significant impact on mood and mental health. This review synthesizes the research connecting serotonin imbalances to depressive symptoms and evaluates the efficacy of selective serotonin reuptake inhibitors (SSRIs). We analyze data from over fifty studies, noting that while SSRIs are beneficial for many, the response varies significantly among individuals due to genetic factors and concurrent medical conditions.

Keywords: serotonin, depression, SSRIs, mental health, review

Autism spectrum disorders (ASD) and environmental factors: A comprehensive review
Authors: Linda Chang, Joseph Lee

Background: The rise in autism diagnosis has prompted research into environmental influences.
Aim: To explore and quantify the impact of prenatal and early life exposure to environmental toxins on ASD prevalence.
Methods: A systematic literature review using databases such as PubMed and Scopus, analyzing data from studies published up to December 2011.
Results: Out of 40 studies, 25 showed a statistically significant correlation between exposure to pollutants like heavy metals and pesticides and increased ASD rates.
Conclusion: Environmental factors play a substantial role in ASD, highlighting the need for stringent control and reduction strategies.
Keywords: autism spectrum disorders, environmental factors, toxins, systematic review

Original research articles

Comparative effectiveness of mindfulness-based therapy versus cognitive behavioral therapy for chronic anxiety
Authors: Susan Johnson, Gary Yuen

Background: Chronic anxiety is debilitating, affecting daily functioning and quality of life.
Aim: This study compares the effectiveness of mindfulness-based therapy (MBT) and cognitive behavioral therapy (CBT) in treating chronic anxiety.
Methods: A randomized controlled trial involving 200 patients over a one-year period, measuring anxiety levels using the Hamilton Anxiety Scale before and after interventions.
Results: Both therapies significantly reduced anxiety scores; however, MBT patients showed a lower relapse rate six months post-treatment.
Conclusions: MBT could offer a sustainable treatment alternative for chronic anxiety with lower relapse rates compared to CBT.
Keywords: mindfulness, cognitive behavioral therapy, chronic anxiety, randomized controlled trial

Longitudinal study on the impact of early retirement on cognitive decline
Authors: Tom Greenfield, Nina Peterson

Background: The relationship between retirement and cognitive health is not well-understood.
Aim: To determine if early retirement affects the rate of cognitive decline among the elderly.
Methods: Following 500 individuals from pre-retirement to ten years post-retirement, assessing cognitive functions annually using the Mini-Mental State Examination.
Results: Early retirees exhibited a 15% faster decline in cognitive functions compared to those who retired at 65 or later.
Conclusions: Delaying retirement could be beneficial in slowing cognitive decline, suggesting the potential mental health benefits of prolonged engagement in professional activities.
Keywords: retirement, cognitive decline, elderly, longitudinal study


Debate: The future of genetic therapies in mental health
Moderators: Dr. Hannah Lee, Dr. Michael Smith

Participants discuss the ethical, legal, and social implications of using genetic therapies for conditions like depression and schizophrenia.

Case report

A rare case of Bipolar Disorder presenting with early onset dementia symptoms
Author: Dr. Rebecca Miles

Summary: Describes a 55-year-old patient initially misdiagnosed with dementia, later identified as bipolar disorder due to the cyclical nature of cognitive impairment.
Keywords: bipolar disorder, dementia, case report, misdiagnosis

Biostatistics in Psychiatry

Challenges in the statistical modeling of complex psychiatric data
Authors: Dr. Simon Clarke, Dr. Julie Wang

Summary: Discusses the limitations of traditional statistical methods in psychiatric research, advocating for advanced modeling techniques like machine learning to predict treatment outcomes.
Keywords: biostatistics, psychiatry, machine learning, data modeling