Structural equation model of the relationship between depression with functional and nutritional status among Iranian older women: A Cross-sectional Study

Abstract

Abstract 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.