Figure 1.
Multinomial logistic regression results of stress perception categories in colorectal cancer patients_
| Variables | Variable coefficient | Standard error | Wald χ2 | P-value | OR value | 95% CI |
|---|---|---|---|---|---|---|
| Comparison 1: C3 versus C1 | ||||||
| Monthly family income ≤3000 RMB | −1.895 | 0.711 | 7.102 | 0.008 | 0.15 | 0.037–0.606 |
| No stoma | 1.258 | 0.555 | 5.137 | 0.023 | 3.517 | 1.185–10.437 |
| Economic toxicity | 0.347 | 0.081 | 18.498 | <0.001 | 1.415 | 1.208–1.658 |
| Comparison 1: C3 versus C2 | ||||||
| Gender: Male | −1.274 | 0.402 | 10.059 | 0.002 | 0.28 | 0.127–0.615 |
| No stoma | 1.237 | 0.378 | 10.724 | 0.001 | 3.444 | 1.643–7.219 |
| Economic toxicity | 0.207 | 0.06 | 11.754 | 0.001 | 1.23 | 1.093–1.385 |
| Comparison 2: C1 versus C2 | ||||||
| Monthly family income ≤3000 RMB | 1.697 | 0.684 | 6.148 | 0.013 | 5.457 | 1.427–20.869 |
The assigned values for the independent variables_
| Variables | Assigned values |
|---|---|
| Gender | |
| Male | 1 |
| Female | 2 |
| Age (years) | |
| ≤60 | 0 |
| >60 | 1 |
| Residence | |
| Rural | 0 |
| Urban | 1 |
| Education | |
| Primary school and below | 0 |
| Junior high school | 1 |
| High school and above | 2 |
| Occupation | |
| Farmer | 0 |
| Worker | 1 |
| Civil servant/public institution employee | 2 |
| Other | 3 |
| Monthly family income (RMB) | |
| ≤3000 | 0 |
| >3000 | 1 |
| Pre-admission employment status | |
| Unemployed | 0 |
| Employed | 1 |
| Retired | 2 |
| Stoma presence | |
| None | 0 |
| Present | 1 |
Analysis of different characteristics of the 3 latent categories, N (%)_
| Variables | C1 (n = 49) | C2 (n = 61) | C3 (n = 145) | χ2/F | P |
|---|---|---|---|---|---|
| Gender | χ2 = 12.892 | 0.002 | |||
| Male | 35 (71.4%) | 25 (41%) | 93 (64.1%) | ||
| Female | 14 (28.6%) | 36 (59%) | 52 (35.9%) | ||
| Age (years) | χ2 = 8.754 | 0.013 | |||
| ≤60 | 10 (20.4%) | 23 (37.7%) | 64 (44.1%) | ||
| >60 | 39 (79.6%) | 38 (62.3%) | 81 (55.9%) | ||
| Residence | χ2 = 46.308 | <0.001 | |||
| Rural | 6 (12.2%) | 37 (60.7%) | 98 (67.6%) | ||
| Urban | 43 (87.8%) | 24 (39.3%) | 47 (32.4%) | ||
| Education | χ2 = 43.577 | <0.001 | |||
| Primary school and below | 10 (20.4%) | 43 (70.5%) | 94 (64.8%) | ||
| Middle school | 19 (38.8%) | 10 (16.4%) | 38 (26.2%) | ||
| High school and above | 20 (40.8%) | 8 (13.1%) | 13 (9%) | ||
| Occupation | χ2 = 73.210 | <0.001 | |||
| Farmer | 3 (6.1%) | 24 (39.3%) | 83 (57.2%) | ||
| Worker | 23 (46.9%) | 24 (39.3%) | 34 (23.4%) | ||
| Civil servant/public institution employee | 21 (42.9%) | 5 (8.2%) | 8 (5.5%) | ||
| Other | 2 (4.1%) | 8 (13.1%) | 20 (13.8%) | ||
| Monthly family income (RMB) | χ2 = 72.898 | <0.001 | |||
| ≤3000 | 10 (20.4%) | 47 (77%) | 122 (84.1%) | ||
| >3000 | 39 (79.6%) | 14 (23%) | 23 (15.9%) | ||
| Pre-admission employment status | χ2 = 42.684 | <0.001 | |||
| Employed | 8 (16.3%) | 29 (47.5%) | 85 (58.6%) | ||
| Retired | 40 (81.6%) | 29 (47.5%) | 45 (31.1%) | ||
| Unemployed | 1 (2.1%) | 3 (5%) | 15 (10.3%) | ||
| Disease stage | χ2 = 1.536 | 0.957 | |||
| Stage I | 7 (14.3%) | 9 (14.8%) | 19 (13.1%) | ||
| Stage II | 21 (42.9%) | 20 (32.8%) | 57 (39.3%) | ||
| Stage III | 15 (30.6%) | 24 (39.3%) | 52 (35.9%) | ||
| Stage IV | 6 (12.2%) | 8 (13.1%) | 17 (11.7%) | ||
| Treatment method | χ2 = 0.220 | 0.896 | |||
| Surgery | 20 (40.8%) | 24 (39.3%) | 62 (42.8%) | ||
| Surgery + chemotherapy/radiotherapy | 29 (59.2%) | 37 (60.7%) | 83 (57.2%) | ||
| Stoma | χ2 = 22.363 | <0.001 | |||
| Present | 14 (28.6%) | 17 (27.9%) | 84 (57.9%) | ||
| Absent | 35 (71.4%) | 44 (72.1%) | 61 (42.1%) | ||
| Economic toxicity score (mean + standard deviation) | 20.12 ± 4.526 | 13.08 ± 4.379 | 9.83 ± 3.832 | F = 115.559 | <0.001 |
General information about colorectal cancer patients (N=225)_
| Variables | N | % |
|---|---|---|
| Gender | ||
| Male | 153 | 60 |
| Female | 102 | 40 |
| Age (years) | ||
| ≤60 | 97 | 38 |
| >60 | 158 | 62 |
| Residence | ||
| Rural | 141 | 55.3 |
| Urban | 114 | 44.7 |
| Education | ||
| Primary school and below | 147 | 57.6 |
| Junior high school | 67 | 26.3 |
| High school and above | 41 | 16.1 |
| Occupation | ||
| Farmer | 110 | 43.1 |
| Worker | 81 | 31.8 |
| Civil servant/public institution employee | 34 | 13.3 |
| Other | 30 | 11.8 |
| Monthly family income (RMB) | ||
| ≤3000 | 179 | 70.2 |
| >3000 | 76 | 29.8 |
| Pre-admission employment status | ||
| Employed | 122 | 47.8 |
| Retired | 114 | 44.7 |
| others | 19 | 7.5 |
| Disease stage | ||
| Stage I | 35 | 13.7 |
| Stage II | 98 | 38.4 |
| Stage III | 91 | 35.7 |
| Stage IV | 31 | 12.2 |
| Treatment method | ||
| Surgery | 106 | 41.6 |
| Surgery + chemotherapy/radiotherapy | 149 | 58.4 |
| Colostomy | ||
| Present | 115 | 45.1 |
| Absent | 140 | 54.9 |
Probabilities of membership in 3 latent categories_
| Variable | Category 1 | Category 2 | Category 3 |
|---|---|---|---|
| Category 1 | 0.938 | 0.062 | 0.000 |
| Category 2 | 0.052 | 0.948 | 0.000 |
| Category 3 | 0.000 | 0.000 | 1.000 |
Fit indices of latent profile models for different categories_
| Variable | AIC | BIC | aBIC | Entropy | PLMR | PBLRT | Category probabilities |
|---|---|---|---|---|---|---|---|
| 1 | 6626.604 | 6725.760 | 6636.993 | ||||
| 2 | 6027.092 | 6179.367 | 6043.046 | 0.879 | 0.0001 | 0.0000 | 0.305/0.65 |
| 3 | 5725.934 | 5931.328 | 5747.454 | 0.946 | 0.0233 | 0.0000 | 0.19/0.24/0.57 |
| 4 | 5589.471 | 5847.983 | 5616.556 | 0.900 | 0.0000 | 0.0000 | 0.20/0.23/0.20/0.37 |
| 5 | 5282.385 | 5594.016 | 5315.035 | 0.916 | 0.3751 | 0.0000 | 0.20/0.37/0.23/0.19/0.01 |