| Literature DB >> 29891832 |
Ningxi Yang1,2, Yingnan Cao3, Xiaoyan Li1, Shiyue Li1, Hong Yan1, Qingshan Geng4.
Abstract
BACKGROUND Doctors' empathy is closely related to patients' health. This study aimed to examine whether patients' stigma and self-efficacy play a mediating role in the relationship between doctors' empathy abilities and patients' cellular immunity in male patients with breast cancer. MATERIAL AND METHODS Doctors' empathy scores and patients' demographic data, disease condition, stigma, and self-efficacy were measured. Patient T cell subset was tested at admission and 3 months after the operation and was compared by paired t test. The multivariate linear regression model was applied to analyze the factors influencing the immune index. Pearson correlation analysis and structural equation modeling were applied to explore the relationships among patients' stigma, self-efficacy, and cellular immunity and doctors' empathy abilities. RESULTS At the 2 time points, only the change in NK subset was statistically significant, while the changes in percentage of CD3+, CD4+, CD8+, and B cells were not statistically significant. The doctors' empathy abilities were negatively correlated with patients' stigma and were positively related to patients' self-efficacy. Patients' stigma was negatively related to NK subset, while self-efficacy was positively associated with NK subset. Patients' stigma and self-efficacy played a mediating role in the relationship between doctors' empathy abilities and patients' NK subset, and stigma had a stronger effect than self-efficacy. CONCLUSIONS Doctors' empathy abilities affected breast cancer patients' NK subset through their stigma and self-efficacy. The mental health of male breast cancer patients need more attention and empathy education needs to be improved.Entities:
Mesh:
Year: 2018 PMID: 29891832 PMCID: PMC6029513 DOI: 10.12659/MSM.910794
Source DB: PubMed Journal: Med Sci Monit ISSN: 1234-1010
Patient demography and disease condition.
| Variable | Number | % |
|---|---|---|
| Primary school or below | 63 | 24.6 |
| Junior middle school | 115 | 44.9 |
| Senior middle school | 61 | 23.8 |
| College or above | 17 | 6.6 |
| Mαριταλ στατυσ | ||
| Unmarried | 6 | 2.3 |
| Married | 220 | 85.9 |
| Divorced or widowed | 30 | 11.7 |
| Countryside | 81 | 31.6 |
| County town | 40 | 15.6 |
| Urban area | 135 | 52.7 |
| <3000 yuan | 90 | 35.2 |
| 3000–5000 yuan | 131 | 51.2 |
| >5000 yuan | 35 | 13.7 |
| Private health care provision | 58 | 22.7 |
| Social security or commercial insurance | 142 | 55.5 |
| New rural cooperative medical system | 45 | 17.6 |
| Socialized medicine | 11 | 4.3 |
| Poor | 50 | 19.5 |
| General | 90 | 35.2 |
| Good | 116 | 45.3 |
| Transfer | ||
| Yes | 114 | 44.5 |
| No | 142 | 55.5 |
| Yes | 14 | 5.5 |
| No | 242 | 94.5 |
| Yes | 49 | 19.1 |
| No | 207 | 80.9 |
| Yes | 31 | 12.1 |
| No | 225 | 87.9 |
Comparison of cellular immune indices of patients at admission and 14 days later.
| % | At admission | 14 days later | t | P |
|---|---|---|---|---|
| CD3 | 59.07±7.70 | 60.08±6.97 | −1.68 | 0.10 |
| CD4 | 35.41±6.56 | 35.45±6.58 | −0.06 | 0.95 |
| CD8 | 30.01±5.75 | 29.62±6.93 | 0.78 | 0.43 |
| B | 7.91±2.92 | 8.11±2.57 | −1.13 | 0.26 |
| NK | 19.50±7.79 | 21.35±8.52 | −13.30 | <0.01 |
The effect of demography and disease on the patients’ NK activity.
| β | Standard error | t | P | |
|---|---|---|---|---|
| 19.46 | 7.17 | 2.72 | <0.01 | |
| 0.05 | 0.08 | 0.68 | 0.50 | |
| −0.97 | 0.67 | −1.45 | 0.15 | |
| Junior middle school | 1.14 | 1.45 | 0.79 | 0.43 |
| Senior middle school | 1.59 | 1.85 | 0.86 | 0.39 |
| College or above | 0.05 | 2.87 | 0.02 | 0.99 |
| Married | 0.66 | 3.68 | 0.18 | 0.86 |
| Divorced or widowed | −0.35 | 3.99 | −0.09 | 0.93 |
| County town | −0.05 | 2.07 | −0.02 | 0.98 |
| Urban area | 1.71 | 2.05 | 0.83 | 0.41 |
| 3000–5000 yuan | −1.73 | 1.47 | −1.18 | 0.24 |
| >5000 yuan | −2.68 | 2.00 | −1.34 | 0.18 |
| Social security or commercial insurance | −1.68 | 1.06 | −1.05 | 0.30 |
| New rural cooperative medical system | −0.05 | 1.92 | −0.03 | 0.98 |
| Socialized medicine | −2.35 | 2.93 | −0.8 | 0.42 |
| General | 0.39 | 1.62 | 0.24 | 0.81 |
| Good | 2.61 | 1.76 | 1.49 | 0.14 |
| Yes | −1.39 | 1.18 | −1.18 | 0.24 |
| Yes | 2.84 | 2.40 | 1.18 | 0.24 |
| Yes | 2.25 | 0.68 | 3.3 | 0.001 |
| Yes | 2.84 | 2.40 | 1.18 | 0.24 |
The correlations among doctors’ empathy abilities and patients’ stigma, self-efficacy and NK activity.
| Score | Empathy | Stigma | Self-efficacy | NK activity | |
|---|---|---|---|---|---|
| Doctors’ empathy abilities | 104.89±13.766 | 1 | |||
| Patients’ stigma | 64±18.153 | −0.799 | 1 | ||
| Patients’ self-efficacy | 68.14±16.295 | 0.726 | −0.789 | 1 | |
| Patients’ NK activity | 21.35±8.524 | 0.645 | −0.719 | 0.693 | 1 |
P<0.05;
P<0.01.
Figure 1The model of the relationships among doctor’s empathy abilities and patients’ stigma, self-efficacy and NK activity.
Normalized path coefficient.
| Path | Normalized path coefficient | S.E. | C.R. |
|---|---|---|---|
| Doctors’ empathy abilities → patients’ stigma | −0.96 | 0.916 | −7.365** |
| Doctors’ empathy abilities → patients’ self-efficacy | 0.918 | 0.433 | 6.919** |
| Patients’ stigma → NK activity | −0.455 | 0.158 | −3.778** |
| Patients’ self-efficacy → NK activity | 0.336 | 0.344 | 2.749* |
Bootstrap indirect effects analysis of nonparametric ratios.
| Mediating effect path | Indirect effect | Standard error | 95% CI | |
|---|---|---|---|---|
| BootLLCI | BootULCL | |||
| Doctors’ empathy abilities → NK activity | 0.0708 | 0.444 | −0.0167 | 0.1583 |
| Gross effect | 0.3284 | 0.416 | 0.2461 | 0.4120 |
| Empathy → stigma → NK activity | 0.1915 | 0.0496 | 0.1037 | 0.2967 |
| Empathy → self-efficacy → NK activity | 0.1369 | 0.0413 | 0.0575 | 0.2183 |