| Literature DB >> 31775697 |
Triana Kesuma Dewi1,2, Karlijn Massar3,4, Robert A C Ruiter4, Tino Leonardi5.
Abstract
BACKGROUND: Breast cancer has become one of the most common causes of mortality among Indonesian women. Many women in Indonesia present with late-stage breast cancer, negatively affecting prognosis and treatment outcomes. Better prognosis of breast cancer will be achieved if it is diagnosed in an earlier stage, thus efforts to detect breast cancer earlier are important. Breast Self-Examination (BSE) is considered as an important first step to encourage women to actively be responsible for their own health, especially for women in low-and middle-income countries with limited resources and access to other forms of preventive healthcare (e.g., screening programs). The present study aimed to predict BSE practice among women in Surabaya, Indonesia using the Health Belief Model (HBM).Entities:
Keywords: Breast cancer; Breast self-examination; Champion’s health belief model; Cues to action; Indonesian women; Perceived barriers; Perceived benefits; Self-efficacy
Mesh:
Year: 2019 PMID: 31775697 PMCID: PMC6882356 DOI: 10.1186/s12889-019-7951-2
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Socio-demographic characteristics of the participants
| BSE performers ( | BSE non-performers ( | Statistics | |||
|---|---|---|---|---|---|
| N | % | N | % | ||
| Age | |||||
| ≤ 40 | 536 | 61.30 | 728 | 66.66 | |
| > 40 | 338 | 38.70 | 365 | 33.40 | |
| Marital status | χ2 (2) = .729, | ||||
| Single | 197 | 22.50 | 264 | 24.20 | |
| Married | 639 | 73.10 | 784 | 71.70 | |
| Widowed/divorced | 38 | 4.30 | 45 | 4.10 | |
| Education | χ2 (3) =102.342, | ||||
| University | 258 | 29.50 | 175 | 16 | |
| High school | 486 | 55.60 | 565 | 51.70 | |
| Secondary | 80 | 9.20 | 201 | 18.40 | |
| Primary | 50 | 5.70 | 152 | 13.90 | |
| History of breast affliction | χ2 (1) =10.48, | ||||
| Yes | 34 | 3.90 | 17 | 1.60 | |
| No | 840 | 96.10 | 1076 | 98.40 | |
| Family history of cancer | χ2 (1) =28.437, | ||||
| Yes | 168 | 19.20 | 117 | 10.70 | |
| No | 706 | 80.80 | 976 | 89.30 | |
Comparison of Health Belief Model factors among performers and non-performers of BSE
| Variable | Performing BSE | df | |||
|---|---|---|---|---|---|
| Yes | No | ||||
| Mean (SD) | Mean (SD) | ||||
| Susceptibility | 14.11(4.26) | 14.11(4.05) | −.01 | 1965 | .99 |
| Severity | 38.63(8.53) | 39.10 (8.42) | −1.22 | 1965 | .22 |
| Benefits | 20.27(2.67) | 18.46 (3.23) | 13.35 | 1963* | <.001 |
| Barriers | 16.34 (4.75) | 19.52 (5.05) | −14.25 | 1915* | <.001 |
| Cues to action | 29.38 (4.72) | 27.88 (5.40) | 6.48 | 1950* | <.001 |
| Self-efficacy | 11.26 (2.06) | 9.03 (2.56) | 20.92 | 1965* | <.001 |
*Levene’s test indicated unequal variances (F’s > 14.12, p’s < .001) so degrees of freedom were adjusted
Hierarchical Logistic regression analysis of Health Belief Model factors for predicting BSE practice
| Variables | Model 1a | Model 2b | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| B (S.E) | Wald | df | OR | OR 95% CI | B (S.E) | Wald | df | OR | OR 95% CI | |||
| Sociodemographic | ||||||||||||
| Age > 40 (ref = age ≤ 40) | .27 (.12) | 5.44 | 1 | 1.32 | 1.05–1.65 | .02 | ||||||
| Married (ref = single, widow/divorced) | −.06 (.13) | .21 | 1 | .95 | .74–1.20 | .65 | ||||||
| University, high school (ref = primary, secondary school) | .90 (.14) | 43.6 | 1 | 2.45 | 1.88–3.20 | <.001 | ||||||
| Having history of breast affliction (ref = no) | .60 (.34) | 3.06 | 1 | 1.82 | .93–3.56 | .08 | ||||||
| Having family with cancer (ref = no) | .49 (.15) | 10.4 | 1 | 1.63 | 1.21–2.20 | <.001 | ||||||
| HBM constructs | ||||||||||||
| Susceptibility | .02(.01) | 1.87 | 1 | 1.02 | .99–1.04 | .17 | .01(.01) | .78 | 1 | 1.01 | .99–1.04 | .38 |
| Severity | −.01 (.01) | .77 | 1 | .99 | .98–1.01 | .38 | .00 (.01) | .001 | 1 | 1 | .99–1.01 | .98 |
| Benefits | .09 (.02) | 20.28 | 1 | 1.1 | 1.05–1.14 | <.001 | .08 (.02) | 16.2 | 1 | 1.09 | 1.04–1.13 | <.001 |
| Barriers | −.08 (.01) | 42.36 | 1 | .93 | .91–.95 | <.001 | −.08 (.01) | 40.10 | 1 | .93 | .90–.95 | <.001 |
| Cues to action | −.06 (.01) | 22.31 | 1 | .94 | .92–.97 | <.001 | −.06 (.01) | 26.31 | 1 | .94 | .91–.96 | <.001 |
| Self-efficacy | .36 (.03) | 176.89 | 1 | 1.44 | 1.36–1.51 | <.001 | .36 (.03) | 163.93 | 1 | 1.43 | 1.35–1.51 | <.001 |
aLogistic regression with HBM constructs, Model χ2 (6) =485.92, p < .001, R2 = .293 (Nagelkerke)
bLogistic regression with sociodemographic characteristics + HBM constructs, Model χ2 (11) =553.35, p < .0001, R2 = .328 (Nagelkerke)