| Literature DB >> 22977691 |
Abstract
This study was conducted to develop a construct model regarding the daily activities, emotional security provided by food, enjoyment of food, level of satisfaction with delivered food, and the quality of life of homebound seniors who benefitted from meal delivery programs. The data were analyzed by SAS 9.2 and the Structural Equation Model (SEM), which was created by Analysis of Moment Structure (AMOS) 5.0 packages. The reliability of the data was confirmed by an exploratory factor analysis and through a Cronbach's alpha coefficient, and the measurement model proved to be appropriate by a confirmatory factor analysis of the measurement model in conjunction with AMOS. The results of the correlations between all the variables showed significant positive correlations (P < 0.05). The path analysis demonstrated that the daily activities (P < 0.01) and the emotional security created by food (P < 0.05) had positive correlations with the foodservice satisfaction (P < 0.05), while the daily activities (P < 0.05), the sense of emotional security made by food (P < 0.05), and food enjoyment (P < 0.05) also presented significant positive correlations with the quality of life. However, the food service satisfaction was shown to directly, but not significantly, affect the quality of life. This revealed that the current meal delivery programs needed to be improved in several directions.Entities:
Keywords: Foodservice satisfaction; SEM (Structural Equation Model); factor analysis; quality of life
Year: 2012 PMID: 22977691 PMCID: PMC3439581 DOI: 10.4162/nrp.2012.6.4.357
Source DB: PubMed Journal: Nutr Res Pract ISSN: 1976-1457 Impact factor: 1.926
Demographic characteristics of the questionnaire respondents and the status of delivered meals (n = 162)
Explorative factor analysis of daily activities
Explorative factor analysis of food related emotional security
Explorative factor analysis of food enjoyment
Explorative factor analysis of foodservice satisfaction
Explorative factor analysis of quality of life
Correlation analysis for study variables
1)A: Daily activities; B: Food related emotional security; C: Food enjoyment; D: Food assessment; E: Delivery environment; F: Current state. G: Expectation for future state
*P < 0.05,**P < 0.01, ***P < 0.001
Goodness of fit in confirmatory factor analysis
1)χ2: Chi-square
2)χ2/df: Chi-square divided by degree of freedom
3)GFI: Goodness of fit index
4)CFI: Comparative fit index
5)IFI: Incremental fit index
6)NFI: Normed fit index
7)AGFI: Adjusted goodness of fit index
8)SRMR: Standardized root mean residual
9)RMSEA: Root mean squared error of approximation
Estimation of measurement model
1)SE: Standard estimate
2)CR: Critical ratio
3)SMC: Squared multiple correlation
*P < 0.05, **P < 0.01
Latent model path analysis for assessing estimates
1)SE: Standard estimate
2)SD: Standard deviation
3)CR: Critical ratio
4)SMC: Squared multiple correlation
*P < 0.05, **P < 0.01
Predictor effect coefficient according to structural path analysis
*P < 0.05, **P < 0.01
Hypothetical model fit index
1)χ2: Chi-square
2)χ2/df: Chi-square divided by degree of freedom.
3)GFI: Goodness of fit index
4)CFI: Comparative fit index
5)IFI: Incremental fit index
6)NFI: Normed fit index
7)AGFI: Adjusted goodness of fit index
8)SRMR: Standardized root mean residual
9)RMSEA: Root mean squared error of approximation
Fig. 1Final results of the model analysis using AMOS. ε : Exogenous variable, η : Endogenous variable