| Literature DB >> 29281875 |
Min-Yi Wang1, Guo-Zhen Lin, Yan Li, Hang Dong, Yu-Huang Liao, Hua-Zhang Liu, Ze-Fang Ren.
Abstract
Background: In Guangzhou, China, colorectal cancer (CRC) is the second most commonly diagnosed cancer. The government initiated a CRC screening program in 2015, and investigating the knowledge, attitudes, and practices toward CRC would help facilitate the participation of the program.Entities:
Keywords: Colorectal cancer; knowledge; attitudes; practice; cross; sectional study
Mesh:
Year: 2017 PMID: 29281875 PMCID: PMC5980874 DOI: 10.22034/APJCP.2017.18.12.3217
Source DB: PubMed Journal: Asian Pac J Cancer Prev ISSN: 1513-7368
Knowledge of the 6,668 Subjects Towards Colorectal Cancer (%)*
| Items | All | Men | Women | P |
|---|---|---|---|---|
| N=6,668 | N=2,334 | N=4,334 | ||
| Colorectal cancer is preventable | 80.7 | 80 | 81.2 | 0.219 |
| Mortality of Colorectal cancer can be reduced by diagnosing, treating in early stage | 92.5 | 92 | 92.9 | 0.21 |
| Bowel cancer risk factors | ||||
| Low fruit and vegetable intake | 89.4 | 87.3 | 90.7 | <0.001 |
| Tobacco use | 86.9 | 85.5 | 87.7 | 0.013 |
| Alcohol abuse | 85.3 | 82.4 | 86.8 | <0.001 |
| A low-fiber and high-fat diet | 63.8 | 62.7 | 64.4 | 0.164 |
| Lack of physical exercises | 42.9 | 41 | 44 | 0.022 |
| Inflammatory bowel disease | 60 | 57.3 | 60.1 | 0.001 |
| Colorectal polyps | 56.9 | 54.1 | 58.3 | 0.001 |
| Older than 50 years | 43.7 | 44 | 43.6 | 0.75 |
| Colorectal cancer warning signs | ||||
| Change in bowel habits | 44 | 42.2 | 44.9 | 0.043 |
| Blood in stool for a long time | 65.8 | 62.3 | 67.8 | <0.001 |
| Fecal Occult Blood Test (+) | 55.8 | 52.7 | 57.6 | <0.001 |
Percentage of the correct (Yes) answers.
Attitudes of the 6,668 Subjects Towards Colorectal Cancer (%, Proportion for Every Row)
| Attitudes to cancer and bowel cancer | Strongly | Agree | Don’t | Disagree | Strongly | P | |
|---|---|---|---|---|---|---|---|
| It’s important for me to know about cancer | Male | 76.1 | 18.9 | 4.2 | 0.3 | 0.5 | 0.037 |
| Female | 76.3 | 20.1 | 3.1 | 0.3 | 0.2 | ||
| Total | 76.2 | 19.7 | 3.5 | 0.3 | 0.3 | ||
| It’s just misfortune that someone has cancer | Male | 10.9 | 11.5 | 13.5 | 36.4 | 27.7 | 0.072 |
| Female | 9.6 | 9.9 | 12.8 | 38.4 | 29.3 | ||
| Total | 10.1 | 10.1 | 12.6 | 37.6 | 28.6 | ||
| Colorectal cancer diagnosed in early stage can treat better | Male | 62.6 | 30.6 | 5.5 | 0.7 | 0.6 | 0.234 |
| Female | 62.5 | 31.4 | 5 | 0.9 | 0.3 | ||
| Total | 62.5 | 31.1 | 5.2 | 0.8 | 0.4 | ||
| Regular physical examination can find cancer in early stage | Male | 64.6 | 29.4 | 5 | 0.5 | 0.5 | 0.003 |
| Female | 67.8 | 27.9 | 3.4 | 0.7 | 0.2 | ||
| Total | 66.6 | 28.5 | 4 | 0.6 | 0.3 | ||
| I will take physical examination regularly | Male | 49.4 | 37.4 | 9.1 | 2.8 | 1.3 | 0.003 |
| Female | 52.2 | 37.8 | 7.1 | 1.9 | 1 | ||
| Total | 51.2 | 37.6 | 7.8 | 2.3 | 1.1 | ||
| I will try to stop smoking and alcohol abuse | Male | 51.8 | 34.9 | 6.5 | 3.6 | 3.2 | 0.005 |
| Female | 56 | 32 | 5.3 | 4.1 | 2.6 | ||
| Total | 54.4 | 33.1 | 5.8 | 3.9 | 2.8 | ||
| Colorectal cancer screening are effective | Male | 17.1 | 33.5 | 30 | 9.5 | 10 | <0.001 |
| Female | 17.8 | 39.1 | 26.2 | 8.7 | 8.2 | ||
| Total | 17.4 | 37.2 | 27.6 | 9 | 8.8 | ||
| Cancer screening should be widely implemented | Male | 32.5 | 35.7 | 26.2 | 3.6 | 2 | <0.001 |
| Female | 38.4 | 36.5 | 20.1 | 3.5 | 1.5 | ||
| Total | 36.3 | 36.2 | 22.2 | 3.6 | 1.7 |
Practice of Prevention and Early Detection towards Colorectal Cancer [n (%)]
| Items | Men | Women | All | P |
|---|---|---|---|---|
| Have taken part in a colorectal cancer screening | <0.001 | |||
| Yes | 236 (10.6) | 360 (8.4) | 603 (9.2) | |
| Not sure | 320 (14.4) | 411 (9.6) | 737 (11.2) | |
| No | 1,662 (74.9) | 3,504 (82.0) | 5,224 (79.6) | |
| Tobacco use | <0.001 | |||
| Yes | 928 (41.4) | 116( 2.7) | 1,044(16.0) | |
| No or quit | 1,316(58.6) | 4,144(97.3) | 5,460(84.0) | |
| Collect the information of cancer prevention intentionally | <0.001 | |||
| Yes | 812 (36.3) | 1,844 (43.0) | 2,687 (40.7) | |
| No | 1,422 (63.7) | 2,447 (57.0) | 3,910 (59.3) | |
| Go to see doctor if not feel well | 0.243 | |||
| Yes definitely | 1,422 (63.3) | 2,821 (65.4) | 4,290 (64.7) | |
| Probably | 604 (26.9) | 1,105 (25.6) | 1,730 (26.1) | |
| Definitely not | 219 (9.8) | 388 (9.0) | 611 (9.2) | |
| Regular physical examination | 0.987 | |||
| Yes | 1,135 (50.8) | 2,167 (50.8) | 3,341 (50.8) | |
| No | 1,099 (49.2) | 2,100 (49.2) | 3,231 (49.2) | |
| Intention to take up FOBT | 0.007 | |||
| Yes definitely | 1,092 (49.6) | 2,289 (53.8) | 3,409 (52.2) | |
| Uncertain | 772 (35.1) | 1,365 (32.1) | 2,167 (33.2) | |
| Definitely not | 337 (15.3) | 604 (14.2) | 952 (14.6) | |
Note, The total number may not be the same because of the missing data
Factors Related to the Knowledge, Attitudes and Intention to Take up FOBT
| N (%) | Knowledge | Attitudes | FOBT intentions | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Low (0-9) [n (%)] | High (10-14) [n (%)] | OR (95%CI) | Low (0-33) [n (%)] | High (34-40) [n (%)] | OR (95%CI) | Uncertain or No | Yes | OR(95%CI) | ||
| Age (years) | ||||||||||
| 20~ | 2686 (40.9) | 1211 (42.0) | 1271 (40.5) | Reference | 1155 (40.2) | 1384 (41.8) | Reference | 1205 (40.2) | 1376 (41.7) | Reference |
| 36~ | 3174 (48.3) | 1356 (47.0) | 1553 (49.5) | 0.9 (0.8, 1.0) | 1379 (48.0) | 1611 (48.7) | 1.0 (0.9, 1.2) | 1459 (48.7) | 1591 (48.3) | 1.1 (0.9, 1.2) |
| 46~ | 711 (10.8) | 318 (11.0) | 313 (10.0) | 0.7 (0.6, 0.9) | 341 (11.9) | 315 (9.5) | 1.0 (0.8, 1.2) | 332 (11.1) | 330 (10.0) | 1.1 (0.9, 1.3) |
| Gender | ||||||||||
| Men | 2282 (34.2) | 1021 (34.5) | 1032 (32.2) | Reference | 1091 (36.8) | 1058 (31.3) | Reference | 1109 (36.0) | 1092 (32.3) | Reference |
| Women | 4386 (65.8) | 1942 (65.5) | 2175 (67.8) | 0.8 (0.7, 0.9) | 1877 (63.2) | 2325 (68.7) | 0.8 (0.7, 0.9) | 1969 (64.0) | 2289 (67.7) | 0.8 (0.7, 0.9) |
| Education-junior high school | ||||||||||
| Yes or below | 2351 (35.3) | 1326 (44.9) | 731 (22.7) | Reference | 1309 (44.2) | 848 (25.0) | Reference | 1235 (40.1) | 1007 (29.8) | Reference |
| Above | 4317 (64.7) | 1629 (55.1) | 2484 (77.3) | 0.4 (0.4, 0.5) | 1653 (55.8) | 2540 (75.0) | 0.6 (0.5, 0.7) | 1842 (59.9) | 2373 (70.2) | 0.8 (0.7, 0.9) |
| Family history of cancer | ||||||||||
| No | 5954 (89.3) | 2710 (91.5) | 2791 (86.6) | Reference | 2727 (91.7) | 2953 (87.1) | Reference | 2821 (91.4) | 2963 (87.4) | Reference |
| Yes | 714 (10.7) | 253 (8.5) | 433 (13.4) | 0.7 (0.6, 0.8) | 248 (8.3) | 437 (12.9) | 0.8 (0.7, 1.0) | 266 (8.6) | 429 (12.6) | 0.8 (0.7, 1.0) |
| Income (¥/month) | ||||||||||
| <3,000 | 2376 (37.2) | 1263 (45.2) | 861 (27.8) | Reference | 1250(45.0) | 972(29.7) | Reference | 1151(40.2) | 1127(34.3) | Reference |
| 3,000~5,000 | 2133 (33.3) | 908 (32.5) | 1081 (34.9) | 0.7 (0.6, 0.8) | 892(32.1) | 1121(34.2) | 0.8 (0.7, 0.9) | 933(32.6) | 1114(33.9) | 1.0 (0.9, 1.2) |
| >5,000 | 1892 (29.4) | 626 (22.4) | 1151 (37.2) | 0.5 (0.4, 0.5) | 636(22.9) | 1182(36.1) | 0.6 (0.5, 0.7) | 780(27.2) | 1047(31.8) | 1.0 (0.9, 1.2) |
| BMI (kg/m2) | ||||||||||
| ≥24 | 1762 (26.4) | 793 (27.2) | 796 (25.1) | 1.0 (0.9, 1.2) | 812(27.8) | 829(24.8) | 1.0 (0.9, 1.2) | 792(26.1) | 883(26.4) | 0.9 (0.8, 1.0) |
| 18.5~23.9 | 4318 (65.0) | 1862 (63.8) | 2113 (66.6) | Reference | 1848(63.3) | 2233(66.8) | Reference | 1924(63.4) | 2225(66.6) | Reference |
| ≤18.5 | 572 (8.6) | 264 (9.0) | 264 (8.3) | 1.1 (0.9, 1.4) | 260( 8.9) | 283( 8.5) | 1.2 (1.0, 1.4) | 319(10.5) | 234( 7.0) | 1.7 (1.3, 2.0) |
| Knowledge levels | ||||||||||
| Low | 2991 (48.0) | - | - | - | 1697(61.9) | 1180(35.6) | Reference | 1592(56.3) | 1303(40.6) | Reference |
| High | 3242 (52.0) | - | - | - | 1044(38.1) | 2130(64.4) | 0.4 (0.3, 0.4) | 1234(43.7) | 1907(59.4) | 0.6 (0.6, 0.7) |
| Attitude levels | ||||||||||
| Low | 3008 (46.9) | - | - | - | - | - | - | 1638(55.9) | 1221(37.4) | Reference |
| High | 3412 (53.1) | - | - | - | - | - | - | 1293(44.1) | 2045(62.6) | 0.6 (0.5, 0.7) |
Adjusted by age, gender, education, income, BMI, family history;
Adjusted by age, gender, education, income, BMI, family history, knowledge levels;
Adjusted by age, gender, education, income, BMI, family history, knowledge and attitude levels.