Latent profile analysis of perceived stress and influencing factors in colorectal cancer patients^†

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