| Literature DB >> 36108074 |
Abstract
Intimate-partner factors have a significant effect on the uptake of services that affect maternal reproductive health outcomes. There is limited research on intimate-partner factors associated with cervical cancer screening. Therefore, this article examines the intimate-partner correlates of cervical cancer screening among married women in Central Uganda. We conducted a cross-sectional survey in Wakiso and Nakasongola districts in Central Uganda. A total of 656 married women aged 25-49 participated in the study. Frequency distributions for descriptive statistics and Pearson chi-squared tests were done to identify the association of selected individual explanatory variables and intimate-partner factors with cervical cancer screening. Finally, multivariable complementary log-log regressions were used to estimate intimate-partner factors associated with women's cervical cancer screening uptake in Central Uganda. About 2 in 10 (20%) of the participants had been screened for cervical cancer. The following characteristics when examined separately in relation to the uptake of cervical cancer screening service and were significant: woman's age, education attainment, occupation, wealth index, parity, male partner's age, and male partner's emotional support. After adjusting for independent factors, cervical cancer screening was significantly associated with women who had; attained secondary (AOR = 2.19; CI 1.18-4.06) compared to none/ primary education, and received partner's emotional support (AOR = 30.06; CI 13.44-67.20) compared to those who did not receive partner's emotional support. In Central Uganda, cervical cancer screening among married women was significantly associated with women's education, and partner's emotional support. These factors point to the importance of intimate-partner factors. Therefore, more effort should be directed at encouraging men's participation. This should be supplemented with empowering women through education to increase uptake of screening services.Entities:
Mesh:
Year: 2022 PMID: 36108074 PMCID: PMC9477300 DOI: 10.1371/journal.pone.0274602
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Distribution of study participants by demographics, socio-economic factors, intimate-partner factors and cervical cancer screening status (N = 656).
| Characteristics | % of women | Frequency | % Screened | P-value |
|---|---|---|---|---|
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| ≤29 | 38.1 | 250 | 14.4 | |
| 30–39 | 45.9 | 301 | 22.9 | |
| 40–49 | 16.0 | 105 | 25.7 | |
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| Catholics | 24.5 | 161 | 21.7 | |
| Protestants | 30.6 | 201 | 18.9 | |
| Muslims | 20.4 | 134 | 17.9 | |
| Pentecostals | 20.7 | 136 | 22.1 | |
| Others | 3.7 | 24 | 20.1 | |
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| Wakiso | 70.0 | 459 | 20.3 | |
| Nakasongola | 30.0 | 197 | 19.8 | |
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| None/ primary | 40.4 | 265 | 18.9 | |
| Secondary | 50.0 | 328 | 18.3 | |
| Post-secondary | 9.6 | 63 | 34.9 | |
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| Baganda | 37.0 | 243 | 20.2 | |
| Banankole | 14.3 | 94 | 19.2 | |
| Basoga | 9.5 | 62 | 30.7 | |
| Baluri | 22.4 | 147 | 20.4 | |
| Others | 16.8 | 110 | 14.6 | |
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| ≤18 | 35.5 | 233 | 19.7 | |
| 19–34 | 64.5 | 423 | 20.3 | |
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| Poor | 20.7 | 136 | 16.2 | |
| Middle | 63.4 | 416 | 18.8 | |
| Rich | 15.9 | 104 | 30.8 | |
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| No | 39.2 | 257 | 17.9 | |
| Yes | 60.5 | 397 | 21.4 | |
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| ≤3 | 56.9 | 373 | 17.7 | |
| ≥4 | 43.1 | 283 | 23.3 | |
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| ≤34 | 35.8 | 235 | 13.3 | |
| 35–49 | 63.0 | 413 | 23.8 | |
| ≥50 | 11.3 | 74 | 21.3 | |
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| Primary | 31.9 | 209 | 21.1 | |
| Secondary | 54.7 | 359 | 17.3 | |
| Above secondary | 13.4 | 88 | 29.6 | |
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| Not employed | 2.9 | 19 | 26.3 | |
| Farmers | 19.5 | 128 | 26.6 | |
| Professionals | 7.9 | 52 | 25.0 | |
| Business | 40.4 | 265 | 16.2 | |
| Other occupation | 29.3 | 192 | 19.3 | |
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| No | 74.7 | 490 | 19.8 | |
| Yes | 25.3 | 166 | 21.1 | |
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| No | 20.7 | 136 | 18.4 | |
| Yes | 79.3 | 520 | 20.6 | |
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| No | 97.7 | 641 | 18.7 | |
| Yes | 2.3 | 15 | 80.0 |
Associations between socio-demographic, economic and male partner factors with cervical cancer screening.
| Characteristic | Model 1 | Model 2 | ||
|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | |
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| Nakasongola (Ref) | ||||
| Wakiso | 1.19 | 0.65–2.19 | 1.32 | 0.73–2.38 |
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| ≤ 29 (Ref) | ||||
| 30–39 | 1.55 | 1.00–2.41 | 1.16 | 0.60–2.25 |
| 40–49 | 1.81 | 0.99–3.32 | 1.46 | 0.58–3.65 |
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| None/ Primary (Ref) | ||||
| Secondary | 1.16 | 0.75–1.78 | 2.19* | 1.18–4.06 |
| Post-secondary | 2.00 | 1.07–3.76 | 2.52 | 0.98–6.49 |
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| Poor (Ref) | ||||
| Middle | 1.11 | 0.67–1.81 | 0.72 | 0.38–1.36 |
| Rich | 1.65 | 0.93–2.93 | 0.68 | 0.32–1.47 |
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| ≤3 (Ref) | ||||
| ≥4 | 1.18 | 0.77–1.81 | 1.34 | 0.75–2.39 |
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| ≤ 34 (Ref) | ||||
| 35–49 | 1.53 | 0.77–3.04 | ||
| ≥50 | 1.66 | 0.59–4.69 | ||
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| None/ Primary (Ref) | ||||
| Secondary | 1.02 | 0.58–1.77 | ||
| Post-secondary | 0.98 | 0.58–1.65 | ||
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| No (Ref) | ||||
| Yes | 30.06 | 13.44–67.20 | ||
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| No (Ref) | ||||
| Yes | 53.94 | 30.66–94.87 | ||
*p < 0.05
**p < 0.01
***p < 0.001.
RC = reference category
OR = Odds Ratios
CI = confidence interval