| Literature DB >> 34322639 |
Ugonma Winnie Dozie1, Chikere Ifeanyi Casmir Ebirim1, Chidera Rosemary Dike1, Ikechukwu Nosike Simplicius Dozie1, Sally Nkechinyere Onyeka Ibe1, Okwuoma C Abanobi1.
Abstract
INTRODUCTION: Cancer of the cervix is the second most common cancer among women worldwide and is the major cause of cancer deaths in developing countries. Screening is among the common cost-effective control methods for the disease. This study ascertained the determinants of cervical cancer screening uptake among female undergraduates in a tertiary institution in south eastern Nigeria.Entities:
Keywords: Cervical cancer; Determinants; Human Papillomavirus; Screening uptake
Mesh:
Year: 2021 PMID: 34322639 PMCID: PMC8283643 DOI: 10.15167/2421-4248/jpmh2021.62.1.1828
Source DB: PubMed Journal: J Prev Med Hyg ISSN: 1121-2233
| S/N | Stratum; Schools | Population |
|---|---|---|
| 1 | SOHT | 1,450 |
| 2 | SEET | 310 |
| 3 | SMAT | 573 |
| 4 | SOBS | 1,290 |
| 5 | SOPS | 523 |
| 6 | SOES | 400 |
| 7 | SAAT | 934 |
| 8 | SBMS | 70 |
Socio-demographic characteristics of respondents.
| Variables | Frequency (n = 375) | Percentage (%) |
|---|---|---|
| 16-19 | 117 | 31.2 |
| 20-24 | 200 | 53.3 |
| 25-29 | 58 | 15.5 |
| 100 L | 60 | 16 |
| 200 L | 74 | 19.7 |
| 300 L | 96 | 25.6 |
| 400 L | 37 | 9.9 |
| 500 L | 108 | 28.8 |
| Single | 344 | 91.7 |
| Married | 31 | 8.3 |
| 1,000-8,000 | 131 | 34.9 |
| 8,001-15,000 | 121 | 32.3 |
| 15,001-23,000 | 53 | 14.1 |
| 23,001-30,000 | 43 | 11.5 |
| Above 30,000 | 27 | 7.2 |
Fig. 1.Source of information on cervical cancer and pap test.
Fig. 2.People to be tested for cervical cancer.
Fig. 3.Age to get tested.
Fig. 4.Willingness to do the pap smear test.
Awareness and knowledge of cervical cancer.
| Variables | Frequency (n = 375) | Percentage (%) |
|---|---|---|
| Yes | 321 | 85.6 |
| No | 54 | 14.4 |
| Yes | 202 | 53.9 |
| No | 173 | 46.1 |
| Parents/family | 63 | 20 |
| Friends | 50 | 16 |
| Medical practitioners | 82 | 26 |
| Mass media | 110 | 34 |
| Others | 16 | 5 |
| Human Papillomavirus | 223 | 59.5 |
| Late onset of sexual activity | 27 | 7.2 |
| Diabetes | 8 | 2.1 |
| Single sexual partner | 3 | 0.8 |
| All of the above | 3 | 0.8 |
| I don’t know | 111 | 29.6 |
| Regular menstrual bleeding | 6 | 2 |
| Blood stained discharge from vagina | 202 | 54 |
| High blood pressure | 15 | 4 |
| All the above | 10 | 3 |
| I don’t know | 142 | 38 |
| Yes | 345 | 92 |
| No | 30 | 8 |
Fig. 5.Reasons the respondents have not been screened for cervical cancer.
Cervical cancer screening uptake.
| Variables | Frequency (n = 375) | Percentage (%) |
|---|---|---|
| Yes | 27 | 7.2 |
| No | 348 | 92.8 |
| Once | 27 | 100 |
| 2-3 times | 0 | 0 |
| > 3 times | 0 | 0 |
| 6-monthly | 33 | 8.8 |
| 1-yearly | 63 | 16.8 |
| 3-yearly | 108 | 28.8 |
| I don’t know | 171 | 45.6 |
| 500-1,000 | 27 | 7.2 |
| 1,001-2,000 | 84 | 22.4 |
| 2,001-3,000 | 63 | 16.8 |
| No idea | 201 | 53.6 |
| Yes | 164 | 43.7 |
| No | 211 | 56.3 |
Influence of cervical cancer awareness, availability of screening center and cost of cervical cancer screening on uptake of the cervical cancer screening.
| Previously screened for cervical cancer | |||||
|---|---|---|---|---|---|
| Determinants | Yes (%) | No (%) | Total (%) | Chi-square | P-value |
| Yes | 27 (8.4) | 294 (91.6) | 321 (100.0) | 4.894 | 0.027 |
| No | 0 | 54 (100.0) | 54 (100.0) | ||
| Yes | 27 (16.5) | 137 (83.5) | 164 (100.0) | 37.433 | < 0.001 |
| No | 0 | 211 (100.0) | 211 (100.0) | ||
| 500-1,000 | 0 | 27 (100.0) | 27 (100.0) | 100.793 | < 0.001 |
| 1,001-2,000 | 27 (32.1) | 57 (67.9) | 84 (100.0) | ||
| 2,001-3,000 | 0 | 63 (100.0) | 63 (100.0) | ||
| No idea | 0 | 201 (100.0) | 201 (100.0) | ||
Influence of Socio- Demographic characteristics on the uptake of cervical cancer screening among undergraduate females.
| Previously screened for cervical cancer | |||||
|---|---|---|---|---|---|
| Socio-demographic determinants | Yes (%) | No (%) | Total (%) | Chi-square | P-value |
| 16-19 | 0 | 117 (100.0) | 117 (100.0) | 18.336 | < 0.001 |
| 20-24 | 17 (8.5) | 18 3(91.5) | 200 (100.0) | ||
| 25-29 | 10 (17.2) | 48 (82.8) | 58 (100.0) | ||
| 100 L | 0 | 60 (100.0) | 60 (100.0) | 37.631 | < 0.001 |
| 200 L | 0 | 74 (100.0) | 74 (100.0) | ||
| 300 L | 6 (6.3) | 90 (93.8) | 96 (100.0) | ||
| 400 L | 0 | 37 (100.0) | 37 (100.0) | ||
| 500 L | 21 (19.4) | 87 (80.6) | 108 (100.0) | ||
| Single | 18 (5.2) | 326 (94.8) | 344 (100.0) | 24.107 | < 0.001 |
| Married | 9 (29.0) | 22 (71.0) | 31 (100.0) | ||
| 1,000-8,000 | 0 | 131 (100.0) | 131 (100.0) | 45.12 | < 0.001 |
| 8,001-15,000 | 4 (3.3) | 117 (96.7) | 121 (100.0) | ||
| 15,001-23,000 | 6 (11.3) | 47 (88.7) | 53 (100.0) | ||
| 23,001-30,000 | 11 (25.6) | 32 (74.4) | 43 (100.0) | ||
| > 30,000 | 6 (22.2) | 21 (77.8) | 27 (100.0) | ||