Vol. 12, Issue 9 (2023)

Author(s):
Steffi P and Sreedaya GS

Abstract:
The definition of health provided by the World Health Organization (WHO) in 2010 extends beyond the mere absence of illness to encompass complete physical, mental, and social well-being. The global increase in life expectancy, which stands as a hallmark of the 20th century, presents the challenge of an "age-quake" due to the growing population of individuals aged 60 and above. This demographic shift, driven by advancements in healthcare and related policies, underscores the significance of addressing mental health needs. The imminent surge in the elderly population underscores the critical need for effective mental health interventions. While aging does not universally lead to mental disorders, the rising number of older adults raises concerns about the potential strains on mental health resources. Psychologists have now broadened their focus to include the promotion of mental health alongside the treatment of mental illnesses. The socioeconomic impact of aging, particularly in low- and middle-income countries, underscores the importance of investing in mental health programs. This paper delves into the topic of cognitive health, emphasizing the preservation of multifaceted cognitive abilities in older adults to support social connections, independence, and resilience. While cognitive changes are not inevitable, proactive measures are essential. The study conducted an analysis of 60 individuals residing in a care facility, collecting data on their age, gender, education, and medical history. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), a tool developed by Folstein et al. in 1983. The findings revealed a predominance of inmates aged above 70, mostly male, with varying levels of education. Common medical conditions included high blood pressure and diabetes. MMSE scores were used to categorize cognitive impairment, revealing a positive correlation with education and a negative correlation with medical illness. A regression equation was used to predict cognitive health based on these factors. The insights gained from this study inform the development of tailored interventions aimed at enhancing the quality of life for older adults.