| Literature DB >> 26040464 |
Terefe G Fuge1, Samuel Y Ayanto2, Fiseha L Gurmamo3.
Abstract
BACKGROUND: Malaria causes variety of adverse consequences in pregnant women due to invasion of the placenta by Plasmodium. It increases the risk of adverse pregnancy outcome for the mother, the foetus and the new-born. Therefore, knowledge, attitudes and practices of this vulnerable group about malaria and the effective use of insecticide-treated nets (ITNs) contribute to sustainable control of the disease and its effects.Entities:
Mesh:
Year: 2015 PMID: 26040464 PMCID: PMC4475320 DOI: 10.1186/s12936-015-0755-7
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Fig. 1Map of the study area
Univariate analysis of association between knowledge about malaria and ITNs and socio-demographic characteristics among pregnant women, Shashogo Woreda, Southern Ethiopia, 2014
| Variables | Label | Frequency (%) | Good | Poor | Crude |
|
|---|---|---|---|---|---|---|
| n (%) | n (%) | OR (95 % CI) | ||||
| Age | 15–25a | 120 (30.2) | 86 (71.7) | 34 (28.3) | 1.00 (0.67–1.49) | 0.85 |
| 26–35 | 215 (54) | 165 (76.7) | 50 (23.3) | 1.30 (0.95–1.79) | ||
| 36–45 | 63 (15.8) | 44 (71) | 18 (29) | 0.96 (0.56–1.67) | ||
| Marital status | Singlea | 4 (1) | 2 (50) | 2 (50) | 1.00 (0.14–7.10) | 0.25 |
| Married | 390 (98) | 291 (74.8) | 98 (25.2) | 2.97 (2.36–3.73) | ||
| Widowed | 3 (0.75) | 1 (33.3) | 2 (66.7) | 0.50 (0.05–5.51) | ||
| Separated | 1 (0.25) | 1 (100) | 0 (0) | -- | ||
| Education status | Illiteratea | 168 (42.2) | 119 (71.3) | 48 (28.7) | 1.00 (0.71–1.40) | 0.32 |
| Read and write | 9 (2.3) | 6 (66.7) | 3 (33.3) | 0.81 (0.20–2.86) | ||
| Primary (1–8) | 192 (48.2) | 150 (78.1) | 42 (21.9) | 1.44 (1.02–2.03) | ||
| Secondary and above | 29 (7.3) | 20 (69) | 9 (31) | 0.90 (0.41–1.97) | ||
| Occupation | Studenta | 9 (2.3) | 6 (66.7) | 3 (33.3) | 1.00 (0.25–3.55) | 0.17 |
| Housewife | 370 (93) | 272 (73.7) | 97 (26.3) | 5 (0.64–39.06) | ||
| Farmer | 1 (0.2) | 1 (100) | 0 (0) | ---- | ||
| Self employed | 7 (1.7) | 6 (85.7) | 1 (14.3) | 3 (0.36–24.92) | ||
| Civil servant | 11 (2.8) | 10 (91) | 1 (9) | 1.26 (1.11–1.77) | ||
| Religion | Orthodoxa | 6 (1.5) | 4 (66.7) | 2 (33.3) | 1.00 (0.18–5.46) | 0.13 |
| Catholic | 1 (0.2) | 1 (100) | 0 (0) | --- | ||
| Protestant | 212 (53.3) | 166 (78.3) | 46 (21.7) | 1.81 (1.3–2.5) | ||
| Muslims | 178 (45) | 124 (69.7) | 54 (30.3) | 1.15 (0.84–1.58) | ||
| Receiving information related to malaria | Noa | 14 (3.5) | 8 (57.1) | 6 (42.9) | 1.00 (0.35–2.89) | 0.14 |
| Yes | 384 (96.5) | 287 (75) | 96 (25) | 2.25 (1.78–2.84) |
areference category
Fig. 2Percentage of knowledge about malaria and its prevention methods among pregnant mothers in Shashogo Woreda
Multivariate analysis of association between attitude towards malaria and ITNs and some socio-demographic characteristics among pregnant women, Shashogo Woreda, Southern Ethiopia, 2014
| Variables | Label | Frequency (%) | Positive | Negative | Adjusted |
|
|---|---|---|---|---|---|---|
| n (%) | n (%) | OR (95 % CI) | ||||
| Age | 15–25a | 120 (30.2) | 72 (60) | 48 (40) | 1.00 (0.69–1.44) | 0.01* |
| 26–35 | 215 (54) | 109 (50.7) | 106 (49.3) | 0.68 (0.53–0.89) | ||
| 36–45 | 62 (15.8) | 22 (35.5) | 40 (64.5) | 0.37 (0.22–0.62) | ||
| Receiving information related to malaria | Noa | 14 (3.5) | 3 (21.3) | 11 (78.7) | 1.00 (0.27–3.63) | 0.002* |
| Yes | 383 (96.5) | 200 (52.2) | 183 (47.8) | 4.04 (3.30–4.97) | ||
| Source of information | Neighbors/friendsa | 31 (8) | 7 (22.6) | 24 (77.4) | 1.00 (0.45–2.34) | 0.003* |
| Health institutions/health extension workers | 336 (87.8) | 183 (54.5) | 153 (45.5) | 4.14 (3.31–5.10) | ||
| Radio | 16 (4.2) | 10 (62.5) | 6 (37.5) | 5.76 (2.10–15.83) |
*Statistically significant at P < 0.05
areference category
Fig. 3Utilization of ITNs by pregnant women in Shashogo Woreda, Southern Ethiopia, 2014
Fig. 4Reasons not to own ITNs by pregnant women in Shashogo Woreda, Southern Ethiopia, 2014
Multivariate analysis of association between practice of ITNs and some socio-demographic characteristics among pregnant women, Shashogo Woreda, Southern Ethiopia, 2014
| Variables | Label | Frequency (%) | Good | Poor | Adjusted |
|
|---|---|---|---|---|---|---|
| n (%) | n (%) | OR (95 % CI) | ||||
| Education status | Illiteratea | 23 (36.5) | 5 (21.7) | 18 (78.3) | 1.00 (0.36–2.68) | 0.01* |
| Primary (1–8) | 25 (39.7) | 12 (48) | 13 (52) | 3.29 (1.50–7.21) | ||
| Secondary and above | 15 (23.8) | 13 (86.7) | 2 (13.3) | 23.21 (5.25–102.86) | ||
| Occupation | Studenta | 1 (1.6) | 1 (100) | 0 (0) | ---- | 0.28 |
| Housewife | 50 (79.4) | 20 (40) | 30 (60) | 1.00 (0.57–1.75) | ||
| Self employed | 5 (7.9) | 2 (40) | 3 (60) | 1.00 (0.16–5.96) | ||
| Civil servant | 7 (11.1) | 7 (100) | 0 (0) | ---- |
*Statistically significant at P < 0.05
areference category
Univariate analysis of association between ITNs utilization and knowledge and attitude towards malaria and ITNs among pregnant women, Shashogo Woreda, Southern Ethiopia, 2014
| Variable | Level | Frequency (%) | Good (%) | Poor (%) | Crude OR (95 % CI) | P-value |
|---|---|---|---|---|---|---|
| Knowledge | Poora | 12 (19) | 3 (25) | 9 (75) | 1.00 (0.27–3.73) | 0.09 |
| Good | 51 (81) | 27 (53) | 24 (47) | 3.42 (1.97–5.91) | ||
| Attitude | Negativea | 19448.9 | 8 (57.1) | 6 (42.9) | 1.00 (0.35–2.89) | 0.42 |
| Positive | 20351.1 | 22 (44.9) | 27 (55.1) | 0.61 (0.35–1.10) |
areference category