Background In this study we used the structural equation model (SEM) and confirmatory factor analysis (CFA) to evaluate the relationship between the activities of daily living instrumental activities of daily living, and mini nutritional assessment with depression. Methods In this research, using a systematic random sampling method, 384 older women were selected from people covered by the health centers in Marand, Iran. To collect data, we used several tools, including Demographic Information Questionnaire, GDS, MNA, ADL, and IADL. The Statistical Package for the Social Sciences (SPSS) software version 28 was used for descriptive statistics and drawing figures, and AMOS software version 26 was used to analyze data. A P-value < 0.05 was considered as significant. Results According to the results, the obtained model had a good fit (P < 0.05, RMSEA = 0.071, CFI = 0.965, GFI = 0.934, IFI = 0.937, RFI = 0.918, χ^2/df = 1.46). Based on the CFA results, the MNA, IADL, and ADL constructs had an inverse and significant effect on the depression of the older people In addition, the IADL score had the highest effect on the depression of the elderly (P = 0.03), followed by ADL (P = 0.034) and MNA (P < 0.0013). Conclusion According to our results, functional disability and malnutrition are related to the risk of depression in older people.

Background and Purpose: Oral health is a critical factor in the quality of life (QoL) of older adults in relation to their nutrition, mental health, and healthy social relationships. This study aimed to investigate oral problems and psychological status of older adults referred to a hospital and its relationship with cognition status, stress, anxiety, and depression. Materials and Methods: This cross-sectional study was conducted among 300 older adults referred to Shahid Beheshti Hospital in Shiraz City, Iran. The “Depression, Anxiety, Stress Scale”, the “Abbreviated Mental Test score”, and the “General Oral Health Assessment Index” were used to collect the required data. The Pearson correlation and multiple linear regression statistical tests were used to analyze the data in SPSS v. 26. P less than 0.05 were considered significant. Results: The Mean±SD age of the participants was 70.1±4.6 years. Their mean±SD score of oral health was 44.83±3.91, and the mean±SD cognitive status was 9.28±0.9. The results of correlation analysis revealed a significant relationship between the dimensions of mental health (cognitive status, stress, anxiety, depression) and oral health (P<0.05). According to the multiple linear regression model, there was a significant relationship between oral health and cognitive status (P=0.002) and between oral health and stress (P=0.015). Conclusion: The study’s results showed a correlation between mental health and oral health. Thus, one of the ways to improve the mental health of the elderly is to provide appropriate and timely dental intervention.