The Role of Equanimity in Predicting the Mental Well-Being of the Residents in Long-Term Care Facilities in Thailand

Abstract

Background/Objectives: The prevalence of mental health issues, such as depression, loneliness, and a decreased quality of life among older adults in long-term care (LTC) facilities in Thailand, calls for further study. In Thailand, where Buddhism is the predominant religion, many positive psychological strengths are fostered among older adults. One notable strength is equanimity, which is characterized by a balanced and accepting response to both positive and negative events. This practice is commonly associated with enhancing the well-being of older individuals. However, the study between equanimity and well-being is scarce. The purpose of the study is to assess equanimity in LTC residents and to determine if it is a significant predictor of the mental well-being of the residents. Methods: The cross-sectional data was obtained from 236 LTC residents in Thailand. Equanimity was measured using the Inner Strength-Based Inventory (iSBI) and mental well-being from the Thai Geriatric Depression Scale (TGDS-6). Demographic factors, depression, loneliness, and other inner strengths were also explored as covariates in a logistic-regression analysis. Results: The mean scores for equanimity (Mean = 3.78 ± 1.00) and mental well-being (Mean = 0.720 ± 0.449) were determined. The multiple regression analysis found equanimity significantly predicted well-being (B = 0.593, p = 0.002) along with depression (B = −0.395, p < 0.001) and mindfulness (B = 0.355, p = 0.046). Conclusions: This study identifies equanimity as a key predictor of mental well-being among Thai long-term care residents, alongside depression and mindfulness. While the study’s cross-sectional design limits causal conclusions, the results suggest that incorporating equanimity-based practices into geriatric care could be beneficial. Future longitudinal research is needed to validate these findings and improve resilience and well-being in aging populations.