Abstract
Objective: To assess the relationship between socio-demographic factors and screening intention for colorectal cancer (CRC).
Methods: A cross-sectional survey of a random sample of 884 Queenslanders aged 40-80 years was conducted using a computer-assisted telephone interviewing system. The factors measured included socio-demographic characteristics, personal history of CRC, knowledge of others with CRC and perceived symptom status. Chi-squared and Monte Carto estimates of Fisher Exact Tests were performed to determine the associations between socio-demographic factors and screening intention. In multivariate analyses, multinomial logistic regression (MNLR) was utilised to examine potential determinants of screening intention.
Results: 77.5% (95% CI 74.0%-80.7%) of the respondents indicated their intention to participate in CRC screening if it were recommended by their doctor or health authorities. The likelihood ratio chi-squared tests in the MNLR analyses show that age (chi (2)((dL6))=15.0; p=0.02), education (chi (2)((dL6))=19.4; p=0.01), perceived symptom status (chi (2)((dL4))=22,9; p=0.00), sex (X-(dL2)(2)=4.5; p=0.11), income (X-(dL14)(2)=19.6; p=0.14) and personal history of CRC (chi (2)((dL2))=4.3; p=0.12) were potential determinants of screening intention. Other sociodemographic factors, including country of birth, private health insurance status, Socio-economic Index for Areas, and Rural and Remote Areas Classification codes, were not associated with screening intention.
Conclusions and Implications: The results indicate that a variety of socio-demographic factors are associated with screening intention and need to be considered in the future development of a population-based screening program for CRC.
| Original language | English |
|---|---|
| Pages (from-to) | 610-614 |
| Number of pages | 5 |
| Journal | Australian and New Zealand Journal of Public Health |
| Volume | 24 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Dec 2000 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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