| Literature DB >> 29531618 |
Abstract
BACKGROUND: Female genital mutilation or female circumcision (FGM) is a serious health problem in Sudan. This procedure is harmful to women and causes many complications during pregnancy and childbirth.Entities:
Keywords: Circumcision; Female; Genital mutilation; Sudan; Women
Year: 2018 PMID: 29531618 PMCID: PMC5839462 DOI: 10.3889/oamjms.2018.099
Source DB: PubMed Journal: Open Access Maced J Med Sci ISSN: 1857-9655
Basic characteristics of surveyed women
| Item | No | % |
|---|---|---|
| Area | ||
| Rural | 15698 | 71.53 |
| Urban | 6249 | 28.47 |
| Marital status | ||
| Currently married | 20898 | 95.22 |
| Previously married | 1049 | 4.78 |
| Education | ||
| No education | 11157 | 54.69 |
| Primary | 6696 | 30.51 |
| Secondary | 3248 | 14.80 |
| Higher education | 386 | 3.81 |
| Wealth index | ||
| Poorest | 4929 | 22.46 |
| Second | 5246 | 23.99 |
| Middle | 4768 | 21.73 |
| Fourth | 3713 | 16.92 |
| Richest | 3273 | 14.90 |
| Circumcised | 19451 | 89.1 |
| Not circumcised | 2406 | 10.9 |
| Yes | 21974 | 100 |
| No | 0 | 0 |
Distribution of circumcised women in different states
| No | State | No of circumcised women | % |
|---|---|---|---|
| 1 | Red Sea | 648 | 3.3 |
| 2 | Kassala | 926 | 4.7 |
| 3 | Gadarif | 1099 | 5.6 |
| 4 | Khartoum | 1093 | 5.6 |
| 5 | Gezira | 1246 | 6.4 |
| 6 | White Nile | 1228 | 6.3 |
| 7 | Northern | 1049 | 5.3 |
| 8 | River Nile | 968 | 5.0 |
| 9 | Sinnar | 1066 | 5.5 |
| 10 | Blue Nile | 977 | 5.0 |
| 11 | North Kordofan | 1154 | 5.9 |
| 12 | South Kordofan | 1523 | 7.8 |
| 13 | West Kordofan | 989 | 5.1 |
| 14 | North Darfur | 1369 | 7.0 |
| 15 | West Darfur | 756 | 4.0 |
| 16 | South Darfur | 1324 | 6.7 |
| 17 | Central Darfur | 640 | 3.2 |
| 18 | East Darfur | 1486 | 7.6 |
| Total | 19541 |
Logistic regression analysis of the circumcised women predictors
| Predictor | Adjusted Odds Ratio | p. value | Confidence Interval |
|---|---|---|---|
| Education | |||
| Non | Reference | ||
| Primary | 0.286 | 0.000 | 0.255 - 0.321 |
| Secondary | 0.142 | 0.000 | 0.115 – 0.176 |
| Higher education | 0.194 | 0.000 | 0.136- 0.277 |
| Marital status | |||
| Formerly married | Reference | ||
| Currently married | 1.27 | 0.001 | 1.054 – 1.522 |
| Daughter circumcision | |||
| Not circumcised | Reference | ||
| Circumcised | 19.1 | 000 | 14.62 – 24.87 |
| Wealth index quintile | |||
| Poorest | Reference | ||
| Second | 1.29 | 0.000 | 1.151 – 1.464 |
| Middle | 1.697 | 0.000 | 1.509 – 1.901 |
| Fourth | 0.620 | 0.000 | 0.531 – 0.725 |
| Richest | 0.268 | 0.000 | 0.207 – 0.321 |
| Residence | |||
| Rural | Reference | ||
| Urban | 1.229 | 0.000 | 1.115 – 1.355 |
Multiple logistic regression predictors for circumcised women
| Predictor | Adjusted Odd ratio | p. value | Confidence Interval |
|---|---|---|---|
| Education | |||
| Non | Reference | ||
| Primary | 0.264 | 0.000 | 0.231 - 0.302 |
| Secondary | 0.133 | 0.000 | 0.103 – 0.172 |
| Higher education | 0.180 | 0.000 | 0.117- 0.276 |
| Marital status | |||
| Formerly married | Reference | ||
| Currently married | 1.5 | 0.001 | 1.184 -1.917 |
| Daughter circumcision | |||
| Not circumcised | Reference | ||
| Circumcised | 36.8 | 000 | 27.96- 48.54 |
| Wealth index quintile | |||
| Poorest | Reference | ||
| Second | 1.423 | 0.000 | 1.237 - 1.635 |
| Middle | 2.614 | 0.000 | 2.259 - 3.026 |
| Fourth | 1.543 | 0.000 | 1.257 - 1.893 |
| Richest | 0.897 | 0485 | 0.662 - 1.216 |
| Residence | |||
| Rural | Reference | ||
| Urban | 1.032 | 0.645 | 0.902 - 1.181 |