Pathways of cervical cancer screening among Chinese women

Figures & data

Figure 1 Structural equation model of socio-cultural health behavior constructs in relation to the health service utilization.

Table 1 Demographic and mammogram screening status

n = 573	Never screened (%)	Noncompliance (%)	Compliance (%)
Age category*
18–39 years	46.8	12.9	40.3
40–64 years	20.6	21.8	57.5
65+ years	19.7	23.4	56.9
Current marital status*
Unmarried	47.1	24.0	28.9
Married	22.4	20.7	56.9
Highest degree
<High school	33.3	18.5	48.1
>High school	26.6	22.5	50.8
Employment status*
Employed	22.5	21.3	56.2
Unemployed	37.6	22.2	40.2
Annual income*
<$10,000	39.8	14.4	45.9
$10,000–$30,000	22.5	24.6	52.9
>$30,000	11.8	24.7	63.4
Current health insurance*
No	48.1	24.0	27.9
Yes	21.1	20.6	58.3

Note:

* P < 0.01, Chi-square test.

Table 2 Parameter estimates for the hypothesized measurement model

Construct and indicators n = 573	Factor loading
Access factors/satisfaction with health care
Arrangements for making appointments for medical care	1.000
Length of time waiting to see doctor at the office	0.935
Length of time between making an appointment for care and visit	0.908
Overall rating of medical group care	0.862
Convenience of location of the doctor’s office	0.946
Access to medical care whenever needed	0.920
Quality of care from your physician	0.770
Enabling factor
Currently have health insurance	1.00
Have a primary health care provider to go to when sick	1.050
Number of visits to primary physician in the previous 12 months	0.642
Predisposing factor
Highest grade of school completed	1.00
Years of education completed	3.952
Cultural factor
Using Internet for sources of information	1.00
Perceived English proficiency	0.852
Speaking native Asian language at home	0.372
Health belief factor
Fear of a bad test result	1.00
Embarrassment/shame	1.664

Figure 2 Path coefficients and their significance from the structural equation modeling analysis.

Notes: Comparative Fit Indices = 0.919; Tucker-Lewis Index = 0.945; RMSEA = 0.071. n = 573. Unstandardized estimates are shown. Cervical cancer screen is coded 1 = no, 2 = yes. **P < 0.01; *P < 0.05. Bold lines indicate P < 0.05.