Introduction
Health of the elderly in rural China
Health condition of empty-nest elderly Chinese
Health-related quality of life (HRQOL) and measuring scales
Research objectives
Methods
Sampling and respondents
Instruments
EQ-5D
SF-12
Reliability analysis of scales (Cronbach’s)
Items | Reliability coefficient | ||
---|---|---|---|
Domains | Cronbach’s α | ||
EQ-5D | M | 0.721 | |
SC | 0.736 | ||
UA | 0.740 | ||
PD | 0.737 | ||
AD | 0.737 | ||
SF-12 | PCS | PF | 0.627 |
RP | 0.636 | ||
BP | 0.645 | ||
GH | 0.703 | ||
MCS | VT | 0752 | |
RE | 0.652 | ||
SF | 0.739 | ||
MH | 0.665 |
Research methods
Scoring methods of EQ-5D
Scoring methods of SF-12
Analysis methods
Results
Descriptive analysis of EQ-5D
Descriptive analysis of SF-12
EQ-5D and SF-12
Multidimensional Spearman correlation coefficient analysis
SF-12 domains | |||||||||
---|---|---|---|---|---|---|---|---|---|
PF | RP | BP | GH | VT | RE | SF | MH | ||
EQ-5D domains | M | 0.438** | 0.401** | 0.331** | 0.330** | 0.318** | 0.440** | 0.306** | 0.432** |
SC | 0.386** | 0.397** | 0.335** | 0.331** | 0.314** | 0.442** | 0.414** | 0.415** | |
UA | 0.418** | 0.422** | 0.367** | 0.312** | 0.290** | 0.425** | 0.341** | 0.385** | |
PD | 0.404** | 0.372** | 0.356** | 0.305** | 0.267** | 0.443** | 0.293** | 0.423** | |
AD | 0.396** | 0.344** | 0.322** | 0.304** | 0.260** | 0.447** | 0.331** | 0.335** |
Regression
Analysis methods of Model 1–5
Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | |
---|---|---|---|---|---|
PCS | PF | RP | BP | GH | |
Gender (Female = 0) | 0.200 | 0.124 | -0.010 | 0.054 | 0.254* |
Age | -0.020* | -0.054* | -0.023 | 0.000 | -0.000 |
Primary school (illiteracy = 0) | 0.035 | 1.750*** | 0.900* | 0.040 | -0.214 |
Middle school (illiteracy = 0) | 0.008 | 4.127*** | 2.011*** | 1.318*** | 0.735*** |
High school or junior colleges and above (illiteracy = 0) | 4.105 | 6.922*** | 2.845*** | 2.303*** | 0.984*** |
Not widowed (others = 0) | -0.615* | -0.900 | 0.111 | -0.311 | 0.025 |
Widowed (others = 0)) | -0.601* | -0.711 | 0.038 | -0.470* | -0.154 |
Df | 7 | 7 | 7 | 7 | 7 |
Wald Chi (2) | 193.86 | ||||
LR Chi (2) | 43.65 | 207.65 | 279.88 | 127.88 |
Analysis methods of model 6 to 10
Model 6 | Model 7 | Model 8 | Model 9 | Model 10 | |
---|---|---|---|---|---|
MCS | VT | RE | SF | MH | |
Gender (Female = 0) | 0.0687 | 0.118 | 0.031 | 0.026 | -0.105 |
Age | -0.007 | 0.003 | 0.028 | -0.008 | 0.052* |
Primary school (illiteracy = 0) | 1.630 | 0.552 | 3.866 | 0.228* | 1.461*** |
Middle school (illiteracy = 0) | 7.353*** | 2.939 | 7.017 | 1.347*** | 7.729*** |
High school or junior colleges and above (illiteracy = 0) | 8.713*** | 4.056 | 7.573 | 1.845*** | 10.192*** |
Not widowed (others = 0) | -0.071 | -0.246 | -0.536 | -0.080 | -0.376 |
Widowed (others = 0)) | 0.465 | -0.174 | -0.095 | -0.032 | -0.112 |
Df | 7 | 7 | 7 | 7 | 7 |
Wald Chi (2) | 98.36 | 120.16 | 94.90 | ||
LR Chi (2) | 538.77 | 309.37 |
Domains of MCS
Analysis methods of EQ-5D
M | SC | UA | PD | AD | ||
---|---|---|---|---|---|---|
Coefficient | Coefficient | Coefficient | Coefficient | Coefficient | ||
No problem | Gender (Female = 0) | 0.111 | 0.400 | 0.565 | -0.015 | 0.553* |
Age | -0.017 | -0.039 | -0.055* | -0.039 | 0.002 | |
Primary school (illiteracy = 0) | 1.152* | 0.698 | 1.235** | 1.188* | 0.841* | |
Middle school (illiteracy = 0) | 3.537*** | 3.050*** | 3.197*** | 3.220*** | 3.458*** | |
High school or junior colleges and above (illiteracy = 0) | 7.289*** | 6.072*** | 5.596*** | 5.876*** | 6.637*** | |
Not widowed (others = 0) | -0.491 | 0.086 | 0.296 | 0.133 | 0.002 | |
Widowed (others = 0)) | -0.824 | 0.513 | 0.442 | -0.146 | 0.421 | |
Some problems | Gender (Female = 0) | -0.175 | -0.015 | 0.012 | -0.135 | 0.328 |
Age | 0.008 | -0.006 | 0.008 | -0.008 | 0.010 | |
Primary school (illiteracy = 0) | 0.884*** | 0.321 | 0.962*** | 0.692*** | 0.742*** | |
Middle school (illiteracy = 0) | 2.398*** | 1.593*** | 2.406*** | 1.812*** | 1.500*** | |
High school or junior colleges and above (illiteracy = 0) | 4.479*** | 3.104*** | 3.832*** | 3.101*** | 4.218*** | |
Not widowed (others = 0) | 0.003 | -0.273 | -0.003 | 0.008 | 0.355 | |
Widowed (others = 0)) | 0.014 | -0.064 | 0.113 | 0.061 | 0.581 |
SEM analysis
Estimate | SE | CR | P | |||
---|---|---|---|---|---|---|
SF-12 | <-- | Demographic variables | -.962 | .044 | -21.832 | *** |
EQ-5D | <-- | Demographic variables | .064 | .003 | 20.717 | *** |
PF | <-- | SF-12 | 1.000 | |||
RP | <-- | SF-12 | 1.213 | .061 | 20.022 | *** |
BP | <-- | SF-12 | 1.199 | .065 | 18.329 | *** |
GH | <-- | SF-12 | 1.057 | .074 | 14.213 | *** |
VT | <-- | SF-12 | .956 | .063 | 15.261 | *** |
RE | <-- | SF-12 | 1.838 | .080 | 23.089 | *** |
SF | <-- | SF-12 | 1.162 | .065 | 17.929 | *** |
MH | <-- | SF-12 | 1.397 | .064 | 21.825 | *** |
M | <-- | EQ-5D | 1.000 | |||
SC | <-- | EQ-5D | .966 | .054 | 17.930 | *** |
UA | <-- | EQ-5D | 1.013 | .055 | 18.286 | *** |
PD | <-- | EQ-5D | 1.045 | .057 | 18.209 | *** |
AD | <-- | EQ-5D | .929 | .055 | 16.931 | *** |
Marriage | <-- | Demographic variables | .019 | .003 | 6.872 | *** |
Education | <-- | Demographic variables | -.120 | .004 | -30.685 | *** |
Age | <-- | Demographic variables | 1.000 | |||
Sex | <-- | Demographic variables | .036 | .002 | 16.650 | *** |