Decoding Mental Health: A Logistic Regression Analysis of Socio-Economic Indicators and Mental Health Quotient (MHQ) Across Nations

Introduction: This study aims to analyze the relationship between socio-economic factors and mental health using data at a global index level. It examines how indicators such as the Human Development Index (HDI), Global Health Security Index (GHSI), Climate Change Performance Index (CCPI), and Multidimensional Poverty Index (MPI) influence the Mental Health Quotient (MHQ). Methods: Logistic regression models are employed to data from the Mental Health Million Project (2021) and other socio-economic indices. The analysis investigates correlations between MHQ and various factors, including economic participation, educational attainment, health and survival , Political empowerment , GDP, HDI, GHSI, CCPI, and MPI. Results: The results illustrate a positive relationship among MHQ and female economic participation and opportunity ; it also implies mental health is connected to women workforce involvement. However, educational attainment harms MHQ, probably because unmitigated pressure leads to dim psychological health. Consequently, Health and Survival demonstrate positive connections to MHQ, whereas political empowerment and principal development indicators (GDP, HDI, GHSI, CCPI) show negative correlations. Belonging to MPI means a majority of the time, the more MHQ, which denotes better mental health, is a reality but sometimes, even if you have more MPI it does not mean worse mental health. Discussion: Our analysis reveals that economic prosperity does not necessarily lead to better mental or social well-being. Indicators like GDP, HDI, GHSI, and CCPI, which are often seen as markers of national success, show a negative correlation with the MHQ. Interestingly, the MPI exhibits a positive association with MHQ, suggesting that economic hardship does not always equate to poorer mental health. Conclusion: The study highlights the complex interplay between socio-economic development and mental health. The results suggest that economic growth alone is insufficient to improve mental well-being. Policymakers should adopt a holistic approach that balances economic, psychological, and social factors to enhance global mental health outcomes.