| Literature DB >> 35106873 |
Lei Wang1, Lynette Mackenzie2, Zakia Hossain3.
Abstract
This study aimed to investigate breast cancer screening practices and associated factors among Chinese-Australian women. A cross-sectional quantitative survey method including convenience and snowball sampling was used to recruit 115 Chinese-Australian women living in Sydney, using a self-administered survey. In all, 69.8% of participants reported recent clinical breast examinations and 73.3% had mammograms. Age, religion, employment status, and length of residence were associated with having a clinical breast examination. Income was related to having a mammogram. Associations between knowledge of breast cancer, cancer-related beliefs, and screening participation were found. Length of residence in Australia was the strongest predictor of having a clinical breast examination and mammogram. The most common barrier to mammography was if women felt that doctors did not recommend it to them. Chinese-Australian women need to be educated about awareness of their usual breast health to be aware of any changes, especially if women are not eligible for mammography or have difficulty in accessing health services. Tailored programs, improving screening experiences, and minimizing perceived barriers are needed to promote early detection of breast cancer among Chinese-Australian women.Entities:
Keywords: barriers; clinical breast examination; cross-cultural health; early detection; mammogram; screening
Mesh:
Year: 2022 PMID: 35106873 PMCID: PMC9305288 DOI: 10.1111/nhs.12925
Source DB: PubMed Journal: Nurs Health Sci ISSN: 1441-0745 Impact factor: 2.214
Socio‐demographic characteristics of participants (N = 115)
| Characteristics |
| % |
|---|---|---|
| Age (years) (Mean: 56.51; 95% CI: 53.24–59.77) | ||
| 35–39 | 25 | 21.7 |
| 40–49 | 18 | 15.7 |
| 50–59 | 17 | 14.8 |
| 60–69 | 23 | 20.0 |
| 70+ | 32 | 27.8 |
| Religion ( | ||
| Buddhist | 29 | 25.9 |
| Christian | 30 | 26.8 |
| No religion | 53 | 47.3 |
| Educational level | ||
| Secondary school or less | 38 | 33.0 |
| Tertiary | 77 | 67.0 |
| Employment status ( | ||
| Unemployed | 15 | 13.2 |
| Working full‐time | 45 | 39.5 |
| Working part‐time | 16 | 14.0 |
| Retired | 38 | 33.3 |
| Number of years employed (Mean: 24.01, 95% CI: 21.69–26.33) | ||
| Marital status ( | # | # |
| Single | 9 | 7.9 |
| Married | 91 | 79.8 |
| Divorced/ Widowed | 14 | 12.3 |
| Number of children ( | ||
| None | 7 | 8 |
| 1 | 35 | 39.8 |
| 2 | 33 | 37.5 |
| 3 + | 13 | 14.7 |
| Annual income ( | ||
| $20 000 ‐ $50 000 | 37 | 41.6 |
| >$50 000 | 52 | 58.4 |
| Years of residence in Australia ( | ||
| <10 years | 43 | 38.7 |
| 10 to 20 years | 43 | 38.7 |
| >20 years | 25 | 22.6 |
| Place of birth | ||
| Mainland China | 102 | 88.7 |
| Hong Kong | 13 | 11.3 |
| Self‐rated English proficiency ( | ||
| Cannot speak English | 24 | 21.2 |
| Poor | 38 | 33.6 |
| Satisfactory | 32 | 28.3 |
| Fluent | 19 | 16.9 |
| Language spoken at home ( | ||
| Mandarin | 88 | 77.2 |
| Cantonese | 22 | 19.3 |
| English | 4 | 3.5 |
| Residential suburb ( | ||
| North Sydney | 25 | 22.5 |
| South Sydney | 33 | 29.7 |
| West Sydney | 13 | 11.7 |
| Inner Sydney | 40 | 36.0 |
Abbreviation: CI, confidence interval.
0 cells (0.0%) have expected count less than 5.
#= missing data.
Association between sociodemographic factors and clinical breast examination (CBE) and mammogram
| Factors | Clinical breast examination (CBE) ( | ||||
|---|---|---|---|---|---|
| No | Yes |
| Pearson’s χ2 | df | |
|
| |||||
| Age | |||||
| 35–39 | 5 (22.7) | 17(77.3) | <0.001 | 22.995a | 4 |
| 40–49 | 5 (29.4) | 12(70.6) | |||
| 50–59 | 0 (0.0) | 16(100.0) | |||
| 60–69 | 4 (18.2) | 18(81.8) | |||
| 70+ | 18 (62.1) | 11(37.9) | |||
| Religion ( | |||||
| Buddhist | 14(53.8) | 12(46.2) | 0.015 | 8.439a | 2 |
| Christian | 7(24.1) | 22(75.9) | |||
| No religion | 11(22.9) | 37(77.1) | |||
| Employment status ( | |||||
| Unemployed | 3(23.1) | 10(76.9) | 0.016 | 8.328a | 2 |
| Working | 11(20.0) | 44(80.0) | |||
| Retired | 16(48.5) | 17(51.5) | |||
|
| |||||
| English proficiency ( | |||||
| Cannot speak English | 10(43.5) | 13(56.5) | 0.343 | 3.334a | 3 |
| Poor | 10(29.4) | 24(70.6) | |||
| Satisfactory | 6(20.7) | 23(79.3) | |||
| Fluent | 5(26.3) | 14(73.7) | |||
| Years of residence in Australia (n = 102) | |||||
| <10 years | 18(45.0) | 22(55.0) | 0.030 | 6.980a | 2 |
| 10 to 20 years | 9(23.7) | 29(76.3) | |||
| >20 years | 4(16.7) | 20(83.3) | |||
|
| |||||
|
| |||||
| Age ( | |||||
| 35–49 | 12(41.4) | 17(58.6) | 0.064 | 5.487a | 2 |
| 50–69 | 5(15.2) | 28(84.8) | |||
| 70+ | 7(25.0) | 13(75.0) | |||
| Annual income ( | |||||
| $20 000–50 000 | 5(17.2) | 24(82.8) | 0.041 | 4.179a | 1 |
| >$50 000 | 15 (40.5) | 22(59.5) | |||
|
| |||||
| English proficiency ( | |||||
| Cannot speak English | 5(26.3) | 14(73.7) | 0.542 | 2.150a | 3 |
| Poor | 6(20.0) | 24(80.0) | # | # | # |
| Satisfactory | 6(24.0) | 19(76.0) | # | # | # |
| Fluent | 6(40.0) | 9(60.0) | # | # | # |
| Years of residence in Australia ( | |||||
| <10 years | 10(32.3) | 21(67.7) | 0.437 | 1.657a | 2 |
| 10 to 20 years | 10(30.3) | 23(69.7) | # | # | # |
| >20 years | 4(17.4) | 19(82.6) | # | # | # |
Abbreviation: df = degrees of freedom.
= missing data.
0 cells (0.0%) have expected count less than 5.
Association between breast cancer knowledge and breast cancer screening practices among participants who had ever performed CBE or mammogram
| Breast cancer screening practices | Breast cancer knowledge | ||
|---|---|---|---|
| Symptoms of breast cancer | Treatment of breast cancer | Detection of breast cancer | |
|
|
|
| |
|
| |||
| Yes | 73 4.00 (2.36) | 73 2.62 (1.64) | 63 3.14 (1.69) |
| No | 31 3.55 (2.47) | 31 2.39 (1.59) | 25 2.56 (1.45) |
| Significance |
|
|
|
|
| |||
| Yes | 65 3.54 (2.39) | 65 2.20 (1.69) | 55 2.67 (1.72) |
| No | 23 4.91 (2.23) | 23 3.00 (1.60) | 20 3.40 (1.60) |
| Significance |
|
|
|
Abbreviations: df, degrees of freedom; t, Student's t statistic.
Association between cancer‐related beliefs and the breast cancer screening practices among participants who had ever performed breast screening
| Cancer‐related beliefs | Clinical breast examination (CBE) ( | Mammogram ( | ||
|---|---|---|---|---|
| No | Yes | No | Yes | |
|
|
|
|
| |
| Cancers are caused by an unhealthy lifestyle. | 6 (40.75) | 95 (51.65) | 5 (36.80) | 81 (43.91) |
|
|
| |||
Abbreviations: df, degrees of freedom; MR, Mean Rank; U, Mann–Whitney U; W, Wilcoxon W. Chi squared analysis.
a0 cells (0.0%) have expected count less than 5.
Factors associated with breast cancer screening practices among participants who had ever performed breast screening
| Clinical breast examination (CBE) ( | Mammogram ( | |||||||
|---|---|---|---|---|---|---|---|---|
| W(df) | P | OR | 95% CI | W(df) | P | OR | 95% CI | |
| Age (years) | 0.02(1) | 0.88 | 0.99 | (0.86,1.14) | 4.28(1) | 0.039 | 0.84 | (0.72,0.99) |
| Years of residence in Australia | 6.14(1) | 0.013 | 1.47 | (1.08,2.00) | 5.77(1) | 0.016 | 1.29 | (1.05,1.59) |
| Religion | ||||||||
| Buddhist (reference) | ||||||||
| Christian | 4.65(1) | 0.031 | 16.41 | (1.29208.65) | 0.58(1) | 0.446 | 0.39 | (0.03,4.48) |
| No religion | 3.73(1) | 0.053 | 11.78 | (0.96143.9) | 0.02(1) | 0.904 | 0.86 | (0.08,9.44) |
| Employment status | ||||||||
| Unemployed (reference) | ||||||||
| Working | 0.70(1) | 0.403 | 0.22 | (0.01,7.86) | 3.30(1) | 0.069 | 0.05 | (0.00,1.28) |
| Retired | 2.22(1) | 0.136 | 0.04 | (0.00,2.73) | 0.02(1) | 0.893 | 0.76 | (0.02,38.95) |
| Educational level | ||||||||
| ≤Secondary school (reference) | ||||||||
| Tertiary | 0.10(1) | 0.757 | 0.59 | (0.02,17.17) | 0.44(1) | 0.508 | 2.18 | (0.22,21.93) |
| Annual income | ||||||||
| $20 000–50 000(reference) | ||||||||
| >$50 000 | 0.07(1) | 0.792 | 0.76 | (0.10,5.72) | 4.24(1) | 0.039 | 0.03 | (0.00,0.84) |
| Symptoms of breast cancer | 1.15(1) | 0.283 | 1.31 | (0.80,2.14) | 1.89(1) | 0.169 | 0.65 | (0.35,1.20) |
| Cancer is hereditary | 0.39(1) | 0.531 | 1.93 | (0.25,15.07) | 0.00(1) | 0.967 | 0.96 | (0.12,7.69) |
| People got breast cancer as they did not breast feed their babies. | 1.28(1) | 0.258 | 0.25 | (0.02,2.78) | 0.00(1) | 0.974 | 1.04 | (0.11,10.12) |
| Model summary | −2 Log likelihood | Cox & Snell R Square | Nagelkerke R Square | −2 Log likelihood | Cox & Snell R Square | Nagelkerke R Square | ||
| 36.387a | 0.444 | 0.640 | 36.749a | 0.410 | 0.561 | |||
Abbreviations: CI, confidence interval; OR, odds ratio; W, Wald.