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International Journal of Global Mental Health, Innovation, Policy, Action, Culture & Transformation

International Journal of Global Mental Health, Innovation, Policy, Action, Culture & Transformation

📢 Latest Update: New special issue call for papers on "Global Mental Health, Innovation, Policy, Action, Culture & Transformation" - Submit by March 31, 2026

📢 Latest Update: New special issue call for papers on "Global Mental Health, Innovation, Policy, Action, Culture & Transformation" - Submit by March 31, 2026

Volume 2, Issue 1 - 2026 (January-March )

Volume 2 Issue 1 Cover

Issue Details:

Volume 2 Issue 1
Published:Jan 15, 2026

Editorial: January-March

Welcome to the 2026 issue of International Journal of Global Mental Health, Innovation, Policy, Action, Culture & Transformation. This issue showcases the remarkable breadth and depth of contemporary research across multiple disciplines. From cutting-edge applications of machine learning in climate science to the revolutionary potential of quantum computing in drug discovery, our featured articles demonstrate the power of interdisciplinary collaboration in addressing global challenges.

We are particularly excited to present research that bridges traditional academic boundaries, reflecting our journal's commitment to fostering innovation through cross-disciplinary dialogue. The integration of artificial intelligence with environmental science, the application of blockchain technology to supply chain management, and the convergence of urban planning with smart city technologies exemplify the transformative potential of collaborative research.

As we continue to navigate an era of rapid technological advancement and global challenges, the research presented in this issue offers both insights and solutions that will shape our future. We thank our authors, reviewers, and editorial board members for their continued dedication to advancing knowledge and promoting scientific excellence.

Dr. Aashna Narula
Editor in Chief
International Journal of Global Mental Health, Innovation, Policy, Action, Culture & Transformation

Articles in This Issue

Showing 4 of 4 articles
Research PaperID: impact-00001208Pages 1-14

Exploring Gender Differences in Seasonal Affective Depression in the Context of Climate Change

Dr. Raskirat Kaur

Seasonal Affective Disorder (SAD) is a recurrent subtype of depression associated with seasonal shifts, particularly reduced daylight during autumn and winter. Although gender differences in depression are widely documented, comparatively less attention has been given to how changing climatic patterns affect these gender disparities. Climate change—manifesting through rising temperature variability, altered seasonal transitions, and irregular sunlight exposure—may intensify or reshape SAD symptoms. This paper examines gender-specific vulnerability, symptom expression, and psychosocial pathways linking climate-related seasonal changes to depressive outcomes. Drawing from biopsychosocial and climate-psychology frameworks, this analysis integrates empirical findings and conceptual arguments to show how women and men experience seasonal depression differently, while also acknowledging emerging evidence on nonbinary individuals who remain understudied. The findings suggest that women exhibit higher SAD prevalence and symptom severity, while men show distinct behavioural responses. Climate change appears to magnify these disparities through circadian disruption, stress exposure, and socioeconomic pressures. Implications include the need for gender-responsive mental-health interventions, climate-informed screening tools, and policy measures addressing environmental determinants of mood disorders. The purpose of this paper is to explore how gender differences in seasonal depression intersect with climate-related environmental changes. Through a review of empirical research and conceptual models along with an experimental study on 200 adults, this paper examines biological, psychological, and social pathways that contribute to gender-differentiated vulnerability to SAD within a changing climate.

2,488 views
891 downloads

Contributors:

 Dr. Raskirat Kaur
Research PaperID: impact-00001209Pages 1-11

The Role of Artificial Intelligence (AI) in Decision-Making Among Students

M Soni Clara

AI tells us what we want to hear, while our loved ones tell us what we need to hear. We are living in an era where AI is everywhere. While AI offers countless advantages that make our lives easier, there is also a darker side to its rapid rise. One major concern is the gradual replacement of real human interactions with AI chatbots. Nowadays, people tend to consult AI for almost everything even for the smallest doubts or deeply personal matters. AI models like ChatGPT are trained to mirror the user’s language and tone, validate their beliefs, generate prompts to sustain conversation, and prioritize continuity, engagement, and user satisfaction. Since it is designed to respond in a personalized manner, it often aligns with the individual’s thoughts or emotions, even when the response may not actually help the person. This constant validation can create a false sense of emotional support, leading individuals to depend more on technology than on genuine human connections. As a result, the line between human interaction and artificial interaction is becoming increasingly blurred. While AI continues to revolutionize the way we live and connect, it is important to remember that ethical judgment, emotional empathy, and real human connection can never truly be replicated by machines. The purpose of the current study was to examine the relationship between artificial intelligence dependency and decision-making. The study sampled 67 students aged 18 to 25 years. Standardized psychological scales were administered to measure the influence of AI on decision-making. The results revealed that the relationship between artificial intelligence dependency and decision making was significantly positive. As AI dependency increases, reliance on AI for making decisions also increases. People are more likely to rely on AI for decision-making when decisions are complex or unfamiliar since AI systems are framed as highly accurate or authoritative. Therefore, people do develop dependency on AI for decision-making.

2,811 views
755 downloads

Contributors:

 M Soni Clara
Research PaperID: impact-00001210Pages 1-12

A Curative Approach to Work Stress

Dr.Raskirat Kaur

Stress is something that an unavoidable component of anyone’s and everyone’s life. Stress has always portrayed a negative notion that have an impact on one’s mental and physical well-being. It is generally referred to a state of mind or an illness. Job stress has become a common term in today’s parlance. In every organization, the main cause of low productivity appears to be stress at workplace. Employees need certain kind of motivation and job stress mitigating strategies to overcome the stress. Employees need certain kind of motivation and job stress mitigating strategies to overcome the stress. This paper is focused to explore the major factors causing job stress and explains how it affects job performance of the employees. There are different kinds of job stress prevailing in an employee’s everyday life like workload, job security, autonomy, role conflicts, low salaries etc. It is an attempt to investigate the impact of job stress related factors, viz. workload, job security, and shift work on employees’ job performance. Work stress is a parameter that has a lot dependent on it. An employee’s performance is highly dependent on it, and it is very evident that the performance of an employee decides the rate of success of an individual. The current paper aims to study the various causes and corresponding remedies of work stress.

2,635 views
792 downloads

Contributors:

 Dr.Raskirat Kaur
Research PaperID: impact-00001259Pages 1-11

Analyzing the Impact of Depressive Symptoms, Menopause Symptoms, and Social Support Networks on Psychological Well-being of Women Experiencing Menopause

Apoorva Khanna, Dr. Mamata Mahapatra

This study investigates the influence of depressive symptoms, menopause- related physiological and psychological changes, and the presence of social support networks on the psychological well-being of women undergoing menopause. Recognizing menopause as a complex biopsychosocial transition, the research utilizes a quantitative, cross-sectional approach with standardized instruments to assess the variables among a purposively selected sample. Results indicate a significant negative correlation between depressive symptoms and psychological well-being, while strong social support networks demonstrate a buffering effect against distress. Menopause symptoms were also found to adversely affect well-being, albeit to a slightly lesser extent than depressive symptoms. The findings underscore the importance of a holistic framework in mental health support for menopausal women, emphasizing early screening and interventions tailored toward emotional, physiological, and social dimensions of the menopausal experience.

6,976 views
2,083 downloads

Contributors:

 Apoorva Khanna
,
 Dr. Mamata Mahapatra
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