Mediating role of fear of progression between sensory processing sensitivity and stigma in lung cancer patients: a cross-sectional study†
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16 dic 2024
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Categoría del artículo: Original article
Publicado en línea: 16 dic 2024
Páginas: 373 - 378
Recibido: 12 ene 2024
Aceptado: 25 mar 2024
DOI: https://doi.org/10.2478/fon-2024-0041
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© 2024 Nan Shen et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Figure 1.

Figure 2.

Analysis procedure of mediating analysis_
Step | Independent variable | Dependent variable | β | ||||
---|---|---|---|---|---|---|---|
1 | SPS | Stigma | 0.418 | 0.175 | 7.089 |
0.120 | 2.882 |
2 | SPS | FoP | 0.350 | 0.122 | 4.664 |
0.068 | 2.490 |
3 | SPS | Stigma | 0.472 | 0.222 | 8.327 |
0.095 | 2.318 |
FoP | 0.365 | 3.768 |
Correlations, means, SDs, and α coefficients of scale variables_
Scale | M | SD | α | 1 | 2 | 3 |
---|---|---|---|---|---|---|
1. FoP | 28.80 | 8.80 | 0.87 | - | ||
2. CLCSS | 52.71 | 13.81 | 0.94 | 0.217 |
- | |
3. HSP | 125.04 | 20.43 | 0.88 | 0.199 |
0.187 |
- |
Total, direct, and indirect effects of SPS on FoP
Effects | Effect size | Effect ratio | 95% CI |
---|---|---|---|
Total effect | 0.120 | [0.038, 0.202] | |
Direct effect | 0.095 | 79% | [0.014, 0.176] |
Indirect effect | 0.025 | 21% | [0.004, 0.054] |
Descriptive analysis and t-values of scale variables by demographic characteristics_
Item | FoP | CLCSS | HSPS | ||||||
---|---|---|---|---|---|---|---|---|---|
SD | SD | SD | |||||||
Nationality | 2.065 |
–1.159 | 0.35 | ||||||
Han (N = 209, 86.4%) | 29.26 | 8.86 | 52.31 | 13.16 | 125.22 | 20.59 | |||
Ethnic minority (N = 33, 13.6%) | 25.88 | 7.89 | 55.3 | 17.4 | 123.88 | 19.63 | |||
Gender | –4.44 |
1.024 | –2.786 |
||||||
Male (N = 119, 49.2%) | 26.34 | 7.79 | 53.64 | 12.76 | 121.37 | 20.12 | |||
Female (N = 123, 50.8%) | 31.17 | 9.08 | 51.82 | 14.75 | 128.59 | 20.16 | |||
Smoking history | –3.388 |
3.803 |
–1.31 | ||||||
Yes (N = 97, 40.1%) | 26.51 | 8.44 | 56.73 | 14.04 | 122.94 | 20.57 | |||
No (N = 145, 59.9%) | 30.33 | 8.72 | 50.03 | 13.02 | 126.44 | 20.28 | |||
Place of residence | 0.329 | 4.297 |
–0.316 | ||||||
Rural (N = 111, 45.9%) | 29 | 9.11 | 56.78 | 14.82 | 124.59 | 21.05 | |||
City (N = 131, 54.1%) | 28.63 | 8.55 | 49.27 | 11.9 | 125.42 | 19.95 | |||
Month income | –0.285 | 3.699 |
1.401 | ||||||
3000–3999 and below (N = 168, 39.4%) | 28.69 | 9.05 | 54.84 | 13.98 | 126.26 | 20.65 | |||
4000–4999 and above (N = 74, 30.6%) | 29.04 | 8.25 | 47.89 | 12.2 | 122.27 | 19.76 | |||
Education level | –0.016 | 2.289 |
–1.242 | ||||||
Middle school and below (N = 138, 57%) | 28.79 | 8.87 | 54.46 | 13.99 | 123.62 | 21.43 | |||
High school and above (N = 104, 43%) | 28.81 | 8.73 | 50.39 | 13.28 | 126.91 | 18.95 |