| Literature DB >> 32256590 |
Tomas Getahun1, Mirgissa Kaba1, Behailu Tariku Derseh2.
Abstract
BACKGROUND: Cervical cancer is a major public health problem in many developing countries. Despite the value of screening to prevent morbidity and mortality from cervical cancer, little available literature shows early detection and treatment to be limited in Ethiopia. The aim of this study was to determine the magnitude of and identify factors associated with women's intention to screen for cervical cancer using the theory of planned behavior.Entities:
Year: 2020 PMID: 32256590 PMCID: PMC7106926 DOI: 10.1155/2020/3024578
Source DB: PubMed Journal: J Cancer Epidemiol ISSN: 1687-8558
Figure 1Diagram illustrating the theory of planned behavior (http://www.valuebasedmanagement.net/methods_azjen_theory_planned_behaviour.html).
Sociodemographic characteristics of respondents, Debre Berhan town, Ethiopia 2017 (n = 821).
| Characteristics | Frequency (%) |
|---|---|
|
| |
| Urban | 668 (81.4) |
| Rural | 153 (18.6) |
|
| |
| 30 to 34 | 168 (20.5) |
| 35 to 39 | 311 (37.9) |
| 40 to 44 | 225 (27.4) |
| 45 to 49 | 117 (14.3) |
|
| |
| Orthodox | 717 (87.3) |
| Protestant | 68 (8.3) |
| Muslim | 28 (3.4) |
| Catholic | 8 (1.0) |
|
| |
| Amhara | 713 (86.8) |
| Oromo | 72 (8.8) |
| Tigray | 27 (3.3) |
| Gurage | 9 (1.1) |
|
| |
| No formal education | 177 (21.6) |
| Primary | 238 (29.0) |
| Secondary and above | 406 (49.5) |
|
| |
| Housewife | 471 (57.4) |
| Government employee | 163 (19.9) |
| Private employee | 76 (9.3) |
| Farmer | 111 (13.5) |
|
| |
| Single | 67 (8.2) |
| Married | 662 (80.6) |
| Divorced | 53 (6.5) |
| Windowed | 39 (4.8) |
|
| |
| No child | 111 (13.5) |
| 1 to 4 | 679 (82.7) |
| 5 and above | 31 (3.8) |
Simple and multiple logistic regression analysis of factors associated with intention to screen for cervical cancer, Debre Berhan town, Ethiopia, 2017.
| Variables | Intention | COR (95% CI) | AOR (95% CI) | |
|---|---|---|---|---|
| Yes, | No, | |||
|
| ||||
| 30 to 34 | 81 (18.6) | 85 (23.5) | 1 | 1 |
| 35 to 39 | 154 (35.3) | 146 (40.4) | 0.903 (0.618, 1.32) | 1.329 (0.787, 2.244) |
| 40 to 44 | 132 (30.3) | 89 (24.7) | 0.643 (0.428, 0.964)∗ | 0.943 (0.534, 1.664) |
| 45 to 49 | 69 (15.8) | 41 (11.4) | 0.566 (0.346, 0.926)∗ | 0.697 (0.35, 1.387) |
|
| ||||
| Orthodox | 371 (85.1) | 326 (90.3) | 1 | 1 |
| Protestant | 42 (9.6) | 24 (6.6) | 0.65 (0.385, 1.097) | 0.81 (0.39, 1.684) |
| Others | 23 (8.3) | 11 (3.0) | 0.544 (0.261, 1.134,) | 0.691 (0.256, 1.866) |
|
| ||||
| No formal education | 120 (27.5) | 54 (15.0) | 1 | 1 |
| Primary school | 131 (30.0) | 102 (28.3) | 1.73 (1.145, 2.614) | 1.113 (0.639, 1.939) |
| Secondary and above | 185 (42.4) | 205 (56.8) | 2.462 (1.688, 3.593) | 0.931 (0.518, 1.676) |
|
| ||||
| Housewife | 273 (62.6) | 189 (52.4) | 1 | 1 |
| Government employee | 66 (15.1) | 85 (23.5) | 1.86 (1.283, 2.696)∗ | 1.223 (0.664, 2.252) |
| Farmer | 60 (13.8) | 49 (13.6) | 1.18 (0.775, 1.796) | 0.969 (0.529, 1.774) |
| Private employee | 37 (8.5) | 38 (10.5) | 1.483 (0.91, 2.42) | 0.979 (0.484, 1.98) |
|
| ||||
| No | 61 (14.0) | 47 (13.0) | 1 | 1 |
| 1 to 4 | 353 (81.0) | 306 (84.8) | 1.125 (0.747, 1.695) | 0.735 (0.412, 1.311) |
| 5 and above | 22 (5.0) | 8 (2.2) | 0.472 (0.193, 1.154) | 0.403 (0.117, 1.384) |
|
| ||||
| Poor | 405 (92.9) | 275 (76.2) | 1 | 1 |
| Moderate | 26 (6.0) | 65 (18.0) | 3.682 (2.278, 5.949)∗ | 1.534 (0.817, 2.881) |
| Good | 5 (1.1) | 21 (5.8) | 6.185 (2.305, 16.601)∗ | 2.077 (0.651, 6.63) |
|
| ||||
| Negative | 342 (78.4) | 70 (19.4) | 1 | 1 |
| Positive | 94 (21.6) | 291 (80.6) | 15.125 (10.694, 21.392)∗ | 6.164 (4.048, 9.387)∗∗ |
|
| ||||
| Negative | 331 (75.9) | 70 (19.4) | 1 | 1 |
| Positive | 94 (21.6) | 291 (80.6) | 4.005 (2.96, 5.418)∗ | 2.001 (1.342, 2.982)∗∗ |
|
| ||||
| Low | 311 (71.3) | 52 (14.4) | 1 | 1 |
| High | 125 (28.7) | 309 (85.6) | 14.784 (10.318, 21.185)∗ | 7.105 (4.671, 10.807)∗∗ |
∗Significantly associated with simple logistic regression analysis. ∗∗Significantly associated with multiple logistic regression analysis.