Table 2. Correlations between other variables and prenatal fatigue (N = 271).
Correlation analysis was used to explore correlations between covariates, independent variables, and prenatal fatigue. A correlation coefficient of correlation analysis (r) with its p-value was used.
| r | p | |
|---|---|---|
| Demographic covariates | ||
| Age | 0.01 | 0.87 |
| Prenatal BMI | 0.004 | 0.949 |
| Parity (primipara = 1, multipara = 0) | −0.069 | 0.255 |
| Employment (employed = 1, unemployed = 0) | −0.035 | 0.566 |
| Educational level (low = 1, middle = 2, high = 3) | −0.036 | 0.557 |
| Hometown (Shanghai = 1, other places = 0) | −0.12 | 0.049 |
| Clinical covariates | ||
| Gestational weeks | 0.151 | 0.013 |
| Depression (EPDS), scores | 0.49 | <0.001 |
| Sleep quality (PSQI), scores | 0.539 | <0.001 |
| Independent variables | ||
| TNF-α, ng/ml | 0.21 | <0.001 |
| IL-1β, ng/ml | 0.032 | 0.599 |
| IL-6, ng/ml | 0.134 | 0.027 |
| IL-8, ng/ml | 0.209 | 0.001 |
Notes.
- r
- correlation coefficient of correlation analysis
- BMI
- Body Mass Index
- low
- <college
- middle
- college or bachelor
- high
- >bachelor
- TNF-α
- tumor necrosis factor alpha
- IL-1β/6/8
- Interleukin-1β/6/8