| Literature DB >> 35677260 |
Akanksha Yadav1, Madhumita Dobe2, Bobby Paul1, Chandrashekhar Taklikar2.
Abstract
BACKGROUND: Despite the implementation of various cervical cancer preventive strategies by the Government of India, there is a scarcity of knowledge and consequent low utilization of cervical cancer screening services among women in India. This contributes to the burden of cervical cancer among Indian women. This study was conducted to assess perceived threat-regarding cervical cancer among women and to identify its explanatory factors in a slum area of Kolkata.Entities:
Keywords: Cervical cancer; India; health belief model; perceived threat; women
Year: 2022 PMID: 35677260 PMCID: PMC9170203 DOI: 10.4103/jehp.jehp_392_21
Source DB: PubMed Journal: J Educ Health Promot ISSN: 2277-9531
Distribution of the participants according to perceived threat to cervical cancer (n=192)
| Item number | Variables | Agree, | Neither agree nor disagree, | Disagree, |
|---|---|---|---|---|
| 1 | Cervical cancer is one of the common cancer among women of your age | 62 (32.3) | 59 (30.7) | 71 (37.0) |
| 2 | You (respondent) are at risk of having cervical cancer | 33 (17.2) | 58 (30.2) | 101 (52.6) |
| 3* | Women having cervical cancer can die (reversely scored) | 134 (69.8) | 16 (8.3) | 42 (21.9) |
| 4 | Having cervical cancer will make life difficult | 116 (60.4) | 45 (23.4) | 31 (16.2) |
| 5 | Cervical cancer treatment may lead to removal of uterus | 97 (50.5) | 45 (23.4) | 50 (26.1) |
| 6 | Cervical cancer involves complicated and prolonged treatment such as chemotherapy and radiotherapy | 88 (45.8) | 68 (35.4) | 36 (18.8) |
Figure 1Distribution of the participations according to perceived threat to cervical cancer (n = 192)
Univariate and multivariable logistic regression model of unsatisfactory perceived threat to cervical cancer (n=192)
| Model Category | Unsatisfactory perceived threat to cervical cancer | |||
|---|---|---|---|---|
|
| ||||
| OR (95% CI) |
| AOR (95% CI) |
| |
| Age (years) | ||||
| ≤49 | 3.25 (1.28-4.40) | 0.021 | 3.01 (1.18-3.89) | 0.036 |
| >49 (reference) | ||||
| Education | ||||
| Up to primary | 2.83 (1.25-6.80) | 0.020 | 2.89 (1.11-6.27) | 0.026 |
| Above primary (reference) | ||||
| Marital status | ||||
| Currently married | 1.84 (0.76-3.54) | 0.714 | - | - |
| Others (reference)# | ||||
| Occupation | ||||
| Others$ | 3.11 (1.62-8.64) | 0.043 | 3.19 (0.89-7.19) | 0.233 |
| Employed (reference) | ||||
| Socioeconomic status | ||||
| Class III and below | 3.51 (1.09-5.68) | 0.041 | 3.12 (1.12-4.98) | 0.083 |
| Above class III (reference) | ||||
| Knowledge | ||||
| Unsatisfactory | 2.73 (1.06-6.36) | <0.001 | 2.94 (1.14-7.16) | <0.001 |
| Satisfactory (reference) | ||||
#Others include unmarried and widow/separated women, $Others include unemployed and stay at home category, Model fitting is good (Hosmer-Lemeshow test, P 0.381), Nagelkerke R2 was 0.26. OBC=Other backward caste, OR=Odds ratio, AOR=Adjusted OR, CI=Confidence interval