| Literature DB >> 33784210 |
Torgyn Issa1, Aisha Babi1, Azliyati Azizan1, Raushan Alibekova1, Saleem A Khan2, Alpamys Issanov1, Chee Kai Chan1,3, Gulzhanat Aimagambetova1.
Abstract
OBJECTIVE: Although cervical cancer could be prevented through medical screening, it remains one of the top causes of cancer-related morbidity and mortality all over the world. A number of factors may contribute to cervical cancer screening behaviour of women. The aim of this study was to investigate factors related to cervical cancer screening behaviour of women in Kazakhstan.Entities:
Keywords: Kazakhstan; cervical cancer; human papillomavirus; screening; screening behaviour
Year: 2021 PMID: 33784210 PMCID: PMC8013635 DOI: 10.1177/17455065211004135
Source DB: PubMed Journal: Womens Health (Lond) ISSN: 1745-5057
Demographic and socio-economic characteristics of study participants (N = 1189).
| Variables | Screened, n = 543 (45.7%) | Not screened, n = 646 (54.3%) | p value | All, N = 1189 (100%) |
|---|---|---|---|---|
| Age (years), mean ± SD | 39.3 ± 9.9 | 33.1 ± 9.3 | <0.001 | 36.5 ± 10.1 |
| Age group (years), n (%) | ||||
| 18–25 | 49 (7.6) | 126 (23.2) | <0.001 | 175 (14.7) |
| 26–35 | 207 (32.0) | 239 (44.0) | 446 (37.5) | |
| 36–45 | 208 (32.2) | 115 (21.2) | 323 (27.2) | |
| 46+ | 182 (28.2) | 63 (11.6) | 245 (20.6) | |
| Ethnicity, n (%) | ||||
| Non-Kazakh | 146 (23.0) | 91 (17.0) | 0.01 | 237 (20.2) |
| Kazakh | 490 (77.0) | 446 (83.0) | 936 (79.8) | |
| BMI (kg/m2), n (%) | ||||
| Underweight | 16 (2.5) | 48 (9.2) | <0.001 | 64 (5.6) |
| Normal | 375 (59.4) | 292 (55.8) | 667 (57.8) | |
| Overweight | 170 (26.9) | 135 (25.8) | 305 (26.4) | |
| Obese | 70 (11.1) | 48 (9.2) | 118 (10.2) | |
| City, n (%) | ||||
| Aktobe | 137 (25.2) | 124 (19.2) | <0.001 | 261 (21.9) |
| Almaty | 135 (24.9) | 144 (22.3) | 279 (23.5) | |
| Nur-Sultan | 121 (22.3) | 85 (13.2) | 206 (17.3) | |
| Oskemen | 118 (21.7) | 104 (16.1) | 222 (18.7) | |
| Pavlodar | 32 (5.9) | 189 (29.3) | 221 (18.6) | |
| City type, n(%) | ||||
| Republican (cities with >1 million population) | 229 (35.5) | 256 (47.2) | <0.001 | 485 (40.8) |
| Regional | 417 (64.5) | 287 (52.8) | 704 (59.2) | |
| Education level, n (%) | ||||
| Incomplete/complete high school level | 84 (13.0) | 83 (15.5) | 0.17 | 167 (14.2) |
| Vocational level | 275 (42.8) | 202 (37.6) | 477 (40.4) | |
| University level | 284 (44.2) | 252 (46.9) | 536 (45.4) | |
| Family income (tenge), n (%) | ||||
| ⩽100K | 266 (41.9) | 261 (49.3) | <0.001 | 527 (45.2) |
| 101–200K | 186 (29.3) | 172 (32.4) | 358 (30.7) | |
| >200K | 183 (28.8) | 97 (18.3) | 280 (24.0) |
BMI: body mass index.
Marital, family, and lifestyle characteristics of study participants.
| Variables | Screened, n = 543 (45.7%) | Not screened, n = 646 (54.3%) | p value | All, N = 1189 (100%) |
|---|---|---|---|---|
| Marital status, n (%) | ||||
| Single | 120 (18.6) | 120 (22.1) | 0.13 | 240 (20.2) |
| In relationship | 526 (81.4) | 423 (77.9) | 949 (79.8) | |
| Number of children, n (%) | ||||
| 0 | 74 (11.5) | 137 (25.3) | <0.001 | 211 (17.8) |
| 1 | 155 (24.0) | 145 (26.7) | 300 (25.3) | |
| 2 | 209 (32.3) | 136 (25.1) | 345 (29.0) | |
| 3+ | 208 (32.2) | 124 (22.9) | 332 (27.9) | |
| Number of abortions, median (range) | 1 (0–15) | 0 (0–13) | <0.01 | 1 (0–15) |
| History of abortion, n (%) | ||||
| No | 297 (46.1) | 290 (53.5) | 0.01 | 587 (49.5) |
| Yes | 348 (53.9) | 252 (46.5) | 600 (50.5) | |
| Age started sex life (years), mean ± SD | 20.3 ± 2.7 | 20.7 ± 3.2 | 0.01 | 20.5 ± 2.9 |
| Smoking status, n (%) | ||||
| No | 613 (95.2) | 508 (94.6) | 0.65 | 1,121 (94.9) |
| Yes | 31 (4.8) | 29 (5.4) | 60 (5.1) | |
| Alcohol consumption, n (%) | ||||
| No | 641 (99.8) | 535 (99.6) | 0.59 | 1,176 (99.7) |
| Yes | 1 (0.2) | 2 (0.4) | 3 (0.3) |
Gynaecological, health, and medical characteristics of study participants.
| Variables | Screened, n = 543 (45.7%) | Not screened, n = 646 (54.3%) | p value | All, N = 1189 (100%) |
|---|---|---|---|---|
| Menstrual function, n (%) | ||||
| Irregular | 27 (4.6) | 37 (7.5) | 0.04 | 64 (5.9) |
| Regular | 566 (95.4) | 458 (92.5) | 1,024 (94.1) | |
| History of gynaecological surgery, n (%) | ||||
| No | 492 (77.8) | 398 (75.4) | 0.32 | 890 (76.7) |
| Yes | 140 (22.2) | 130 (24.6) | 270 (23.3) | |
| History of STD, n (%) | ||||
| No | 613 (94.9) | 508 (93.5) | 0.32 | 1,121 (94.3) |
| Yes | 33 (5.1) | 35 (6.5) | 68 (5.7) | |
| Have oncological disease, n (%) | ||||
| No | 642 (99.7) | 533 (99.3) | 0.42 | 1,175 (99.5) |
| Yes | 2 (0.3) | 4 (0.7) | 6 (0.5) | |
| Family history of oncological disease, n (%) | ||||
| No | 626 (97.2) | 524 (97.6) | 0.69 | 1,150 (97.4) |
| Yes | 18 (2.8) | 13 (2.4) | 31 (2.6) |
STD: sexually transmitted disease.
Awareness and knowledge of CC and factors associated with CCS utilization among study participants.
| Variables | Screened, n = 543 (45.7%) | Not screened, n = 646 (54.3%) | p value | All, N = 1189 (100%) |
|---|---|---|---|---|
| Aware about cause of cervical cancer, n (%) | ||||
| No | 338 (53.0) | 366 (68.0) | <0.001 | 704 (59.9) |
| Yes | 300 (47.0) | 172 (32.0) | 472 (40.1) | |
| Aware about Pap smear test, n (%) | ||||
| No | 228 (35.3) | 330 (60.8) | <0.001 | 558 (46.9) |
| Yes | 418 (64.7) | 213 (39.2) | 631 (53.1) | |
| Aware about the recommended frequency for Pap smear test, n (%) | ||||
| No | 534 (83.7) | 471 (87.9) | 0.04 | 1,005 (85.6) |
| Yes | 104 (16.3) | 65 (12.1) | 169 (14.4) | |
| Aware about meaning of an abnormal Pap smear result, n (%) | ||||
| No | 246 (38.1) | 380 (70.0) | <0.001 | 626 (52.6) |
| Yes | 400 (61.9) | 163 (30.0) | 563 (47.4) | |
| Aware about free screening programme for cervical cancer (Pap smear test) in Kazakhstan, n (%) | ||||
| No | 140 (21.7) | 353 (65.0) | <0.001 | 493 (41.5) |
| Yes | 504 (78.3) | 190 (35.0) | 694 (58.5) | |
| Aware about that HPV infection is the major cause of cervical cancer, n (%) | ||||
| No | 428 (66.2) | 455 (83.8) | <0.001 | 883 (74.3) |
| Yes | 218 (33.8) | 88 (16.2) | 306 (25.7) |
CC: cervical cancer; CCS: cervical cancer screening; HPV: human papillomavirus.
Bivariable and multivariable logistic regression modelling to determine factors associated with cervical cancer screening service utilization.
| Variables | COR (95% CI) | AOR (95% CI) |
|---|---|---|
| Age | 1.07 (1.06–1.08) | 1.05 (1.04–1.07) |
| Number of children | ||
| 0 | Reference | Reference |
| 1 | 1.98 (1.38–2.84) | 1.29 (0.84–1.99) |
| 2 | 2.85 (1.99–4.06) | 1.82 (1.18–2.81) |
| 3 or more | 3.11 (2.17–4.45) | 2.14 (1.36–3.35) |
| Menstrual function | ||
| Irregular | Reference | Reference |
| Regular | 1.69 (1.02–2.82) | 2.14 (1.15–3.99) |
| Aware about Pap smear test | ||
| No | Reference | Reference |
| Yes | 2.84 (2.24–3.60) | 2.11 (1.13–3.93) |
| Aware about free screening programme for cervical cancer (Pap smear test) in Kazakhstan | ||
| No | Reference | Reference |
| Yes | 6.69 (5.17–8.65) | 4.27 (3.17–5.75) |
| Aware and knowledge about that HPV infection is the major cause of cervical cancer | ||
| No | Reference | Reference |
| Yes | 2.63 (1.99–3.49) | 1.46 (1.04–2.06) |
COR: crude odds ratio; CI: confidence interval; AOR: adjusted odds ratio; HPV: human papillomavirus.