| Literature DB >> 29272293 |
Sonia Andersson1, Karen Belkić2,3,4, Selin Safer Demirbüker1, Miriam Mints1, Ellinor Östensson1,5.
Abstract
OBJECTIVE: Women with high-grade cervical intraepithelial neoplasia (CIN) are at increased risk for developing cervical cancer. We examine how women with high-grade CIN perceive their own risk, and about pertinent knowledge concerning human high-risk papillomavirus (HPV), CIN and cervical cancer.Entities:
Mesh:
Year: 2017 PMID: 29272293 PMCID: PMC5741232 DOI: 10.1371/journal.pone.0190156
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Socio-demographic characteristics of the patients with high-grade CIN.
| N | Percentage | |
|---|---|---|
| 18 to 30 | 177 | 37.1 |
| 31 to 40 | 187 | 39.2 |
| 41 to 50 | 83 | 17.4 |
| 51 to 60 | 23 | 4.8 |
| 61 and over | 7 | 1.5 |
| Missing | 2 | |
| Up to 99 0000 | 55 | 11.9 |
| 100 000 to 259 000 | 51 | 11.0 |
| 260 000 to 359 000 | 101 | 21.9 |
| 360 000 to 799 000 | 147 | 31.8 |
| ≥ 800 000 | 108 | 23.4 |
| Missing | 17 | |
| Elementary school | 25 | 5.2 |
| Gymnasium | 175 | 36.6 |
| University | 278 | 58.2 |
| Missing | 1 | |
| Married | 142 | 29.8 |
| Co-living | 185 | 38.8 |
| Has partner, but lives apart | 43 | 9.0 |
| Single | 105 | 22.0 |
| Widow | 2 | 0.4 |
| Missing | 2 | |
| Gainfully employed (paid employment) | 378 | 78.9 |
| Self-employed | 33 | 6.9 |
| Student | 44 | 9.2 |
| Seeking work | 14 | 2.9 |
| Disabled/retired | 24 | 5.0 |
| Other main activity | 10 | 2.1 |
*$1 = 8.5613 SEK year 2016
**More than one option is possible for the query about main activities
Risk perception and knowledge about HPV, CIN and cervical cancer among the patients with high-grade CIN.
| N | Percentage | |
|---|---|---|
| 9 to 10 | 123 | 25.7 |
| 7 to 8 | 182 | 38.0 |
| 5 to 6 | 104 | 21.7 |
| 3 to 4 | 31 | 6.5 |
| 1 to 2 | 3 | 0.6 |
| Did not answer | 36 | 7.5 |
| Annually | 236 | 49.3 |
| Biennially | 172 | 35.9 |
| Triennially | 31 | 6.5 |
| Every fourth year | 12 | 2.5 |
| Never | 0 | |
| Did not answer | 28 | 5.8 |
| No | 23 | 4.8 |
| Did not know | 45 | 9.4 |
| Did not answer | 17 | 3.6 |
| No | 71 | 14.8 |
| Did not know | 184 | 38.4 |
| Did not answer | 20 | 4.2 |
| No | 50 | 10.4 |
| Did not know | 67 | 14.0 |
| Did not answer | 20 | 4.2 |
| No | 92 | 19.2 |
| Did not know | 132 | 27.6 |
| Did not answer | 19 | 4.0 |
| No | 85 | 17.7 |
| Did not know | 171 | 35.7 |
| Did not answer | 19 | 4.0 |
| No | 31 | 6.5 |
| Did not know | 75 | 15.6 |
| Did not answer | 19 | 4.0 |
| No | 72 | 15.0 |
| Doesn’t know | 117 | 24.4 |
| Did not answer | 19 | 4.0 |
| No | 32 | 6.7 |
| Did not know | 51 | 10.6 |
| Did not answer | 19 | 4.0 |
| No | 14 | 2.9 |
| Did not know | 29 | 6.1 |
| Did not answer | 19 | 4.0 |
| No | 108 | 22.5 |
| Did not know | 286 | 59.7 |
| Did not answer | 22 | 4.6 |
| No | 81 | 16.9 |
| Did not know | 211 | 44.0 |
| Did not answer | 20 | 4.2 |
| No | 19 | 4.0 |
| Did not know | 59 | 12.3 |
| Did not answer | 20 | 4.2 |
| No | 31 | 6.5 |
| Did not know | 118 | 24.6 |
| Did not answer | 19 | 4.0 |
| No | 27 | 5.6 |
| Did not know | 95 | 19.8 |
| Did not answer | 19 | 4.0 |
| No | 218 | 45.5 |
| Did not know | 95 | 19.8 |
| Did not answer | 22 | 4.6 |
Fig 1The Specific Knowledge Scale.
The upper panel displays the factor loadings of the six queries included in the Specific Knowledge Scale. In the lower panel are the number of correct answers to the Specific Knowledge queries along the abscissa and the number of patients along the ordinate, where the total number of patients in the present study is 479.
Realistically assessed risk of cervical cancer without regular gynecologic follow up: Relation to objectively-assessed specific knowledge and self-assessed knowledge among patients with high-grade CIN.
| Specific Knowledge Score | |
|---|---|
| -95% CI | 6.280282 |
| +95% CI | 23.51215 |
Model chi-squared = 65.6, p = 0.0000, N = 479
Logistic regression model for realistic risk assessment, adjusted for age, income and education.
| Age | Annual Income | Education | Specific Knowledge Score | |
|---|---|---|---|---|
| 2.055215 | 1.610231 | 1.349815 | ||
| -95% CI | 0.7012011 | 0.6897754 | 0.6432917 | 5.631041 |
| +95% CI | 6.023821 | 3.758966 | 2.832308 | 22.57555 |
| p values | 0.188 | 0.27 | 0.43 | p = 0.000 |
Model chi-squared = 66.6, p = 0.0000, N = 460
Yates chi-squared analysis of the relation between self-assessed HPV knowledge and realistic assessment of cervical cancer without regular gynecologic follow-up.
| Not yes: Good self-assessed HPV knowledge | Good self-assessed/HPV knowledge | |
|---|---|---|
| Risk not realistically assessed | 142 | 32 |
| Realistic risk assessment | 193 | 112 |
Yates chi-squared = 16.85, p = 0.0004, N = 479
Needs assessment for women with high grade CIN: Focus on those with low perceived cervical cancer risk.
| Wants more information from: | Entire cohort with high grade CIN (N = 479) | Not realistic perceived cervical cancer risk & Not yes to good self-assessed HPV-related knowledge (N = 142) | Not realistic perceived cervical cancer risk & Yes to good self-assessed HPV-related knowledge (N = 32) | ||||
|---|---|---|---|---|---|---|---|
| N | Percent | N | Percent | N | Percent | ||
| Health professionals | 327 | 68.3 | 91 | 64.1 | 22 | 68.8 | |
| TV/radio | 68 | 14.2 | 21 | 14.8 | 5 | 15.6 | |
| Work/school | 119 | 24.8 | 30 | 21.1 | 4 | 12.5 | |
| Via postal mail | 172 | 35.9 | 44 | 31 | 13 | 40.6 | |
| Internet | 179 | 37.7 | 60 | 42.3 | 9 | 28.1 | |
| Other sources | 7 | 1.5 | 1 | 0.7 | 1 | 3.1 | |
| University Degree | 278 | 58 | 66 | 46.5 | 22 | 68.8 | |
| Mean | Sd | Mean | Sd | Mean | Sd | ||
| Age | 35.0 | 8.8 | 34.3 | 9.2 | 34.3 | 9.3 | |
*Yates chi-squared 4.3, p = 0.038