Sociodemographic Predictors of Emotion Regulation Among Nursing Home Residents in Central Java, Indonesia: A Cross-Sectional Study
DOI:
https://doi.org/10.31674/mjn.2026.v18i01.003Abstract
Background: Emotional challenges may compromise the well-being of older adults in nursing homes. However, research on factors influencing Emotion Regulation (ER) among institutionalized older adults remains limited, particularly in developing countries such as Indonesia. Identifying relevant sociodemographic predictors is important to support appropriate interventions and improve emotional outcomes among institutionalized older adults. Methods: This quantitative cross-sectional study involved 150 older adults recruited via total sampling from nursing homes in Central Java, Indonesia. The data was collected using structured questionnaires assessing participant characteristics and ER using the Emotion Regulation Questionnaire (ERQ). Participant characteristics were summarized using descriptive statistics. Bivariate analysis was conducted using the chi-square test or Fisher’s exact test when appropriate. Variables with p < 0.25 were included in multivariate logistic regression to identify independent predictors of ER. Results: Gender and marital status were significantly associated with ER among nursing home residents. Logistic regression analysis indicated that gender (OR = 0.27; 95% CI: 0.13–0.56; p < 0.001) and marital status (OR = 1.36; 95% CI: 1.02–1.81; p = 0.039) were significantly associated factors, while other variables were not significantly associated, suggesting that differences in social roles and support systems may contribute to ER variation. The model explained approximately 15.1% of the variance in ER. Conclusion: Gender and marital status were identified as significant predictors of ER among older adults living in nursing homes. This suggests that nurses should consider gender and marital status when designing and implementing interventions to improve ER among institutionalized older adults.
Keywords:
Emotional Regulation, Nursing Homes, Older Adults, Sociodemographic FactorsDownloads
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