| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T130 |
0-4 |
Sentence |
denotes |
3.6. |
| T131 |
5-18 |
Sentence |
denotes |
Data Analyses |
| T132 |
19-58 |
Sentence |
denotes |
The data analyses included four stages. |
| T133 |
59-253 |
Sentence |
denotes |
In the first stage, descriptive statistics were employed to calculate the means and standard deviations of the continuous variables and the percentage and frequency of the categorical variables. |
| T134 |
254-422 |
Sentence |
denotes |
In the second stage, in order to test the first hypothesis regarding the difference in subjective age before and during the COVID-19 pandemic, a paired t-test was used. |
| T135 |
423-691 |
Sentence |
denotes |
In the third stage, bivariate analyses were performed to examine the association between subjective age and the independent variable, mediator variables, and socioeconomic variables using an independent t-test, one-way ANOVA, and Pearson or Spearman correlation tests. |
| T136 |
692-887 |
Sentence |
denotes |
In the fourth stage, mediation analyses were then computed, and the selected mediators (depressive symptoms and malnutrition) were entered to test the components of the mediation model (Model 4). |
| T137 |
888-984 |
Sentence |
denotes |
The bootstrapping method was used to assess the indirect effects of the mediation model [62,63]. |
| T138 |
985-1364 |
Sentence |
denotes |
Thus, the mediation model was examined by directly testing the significance of the indirect effect of the independent variable (IV; feelings of loneliness) on the dependent variable (DV; subjective age) through the mediators (MeV; depressive symptoms and malnutrition), while controlling for background variables that had been identified in the bivariate analyses as significant. |
| T139 |
1365-1595 |
Sentence |
denotes |
This method is based on regression analysis and calculates the direct effect (weight C’, with a mediator), total effect (C, without mediator) and indirect effects (a × b weights) of an independent variable on a dependent variable. |
| T140 |
1596-1695 |
Sentence |
denotes |
The total and specific indirect effects were calculated through bootstrapping, set at 5000 samples. |
| T141 |
1696-1940 |
Sentence |
denotes |
Confidence intervals were calculated using this method by sorting the lowest to highest of these samples, yielding a 95-percentile confidence interval (if the number 0 falls within the confidence intervals, the tested effect is nonsignificant). |
| T142 |
1941-2021 |
Sentence |
denotes |
All analyses were run using SPSS 25.0 with the PROCESS statistical program [62]. |
| T143 |
2022-2107 |
Sentence |
denotes |
All estimated effects reported by PROCESS are unstandardized regression coefficients. |
