| Literature DB >> 30949288 |
Charity Chinyere Ezeudu1,2, Onoja Akpa1,3, Ndadilnasiya Endie Waziri1, Abisola Oladimeji1, Elizabeth Adedire1, Ibrahim Saude1, Patrick Nguku1, Peter Nsubuga1, Olufunmilayo Ibitola Fawole1,3.
Abstract
INTRODUCTION: Intimate Partner Violence (IPV) is an under-reported public health problem. This study determined the prevalence of IPV and types of IPV, complications and factors associated with IPV among women accessing health services.Entities:
Keywords: Intimate partner violence; complications; controlling behaviour; health services; infidelity; injuries; poverty; pregnancy; prevalence; women
Mesh:
Year: 2019 PMID: 30949288 PMCID: PMC6441469 DOI: 10.11604/pamj.supp.2019.32.1.13287
Source DB: PubMed Journal: Pan Afr Med J
socio-demographic characteristics of respondents interviewed on the predictors of intimate partner violence in Enugu State, Nigeria, December 2015
| Variable | ||
|---|---|---|
| Age distribution (in years) | Number of respondents (N=702) | Proportion (%) |
| 15 - 19 | 21 | 3.0 |
| 20 - 24 | 170 | 24.2 |
| 25 - 29 | 284 | 40.5 |
| 30 - 34 | 152 | 21.7 |
| 35 - 39 | 55 | 7.8 |
| 40 - 44 | 16 | 2.3 |
| 45 - 49 | ||
| Religion | 4 | 0.5 |
| Christianity | 684 | 97.4 |
| Islam | 6 | 0.9 |
| Traditional | 7 | 1.0 |
| Others | ||
| Marital status | 5 | 0.7 |
| Single | 42 | 6.0 |
| Married/cohabiting | 655 | 93.3 |
| Divorced/separated | 5 | 0.7 |
| Educational level | ||
| None | 12 | 1.7 |
| Primary | 67 | 9.5 |
| Secondary | 367 | 52.3 |
| Post-secondary | ||
| Occupation | 256 | 36.5 |
| Unemployed | 233 | 33.2 |
| Trader | 195 | 27.8 |
| Artisan (tailor, hairdressing) | 181 | 25.8 |
| Civil servant/government | 58 | 8.3 |
| Farmer | 15 | 2.1 |
| Others (National Youth Service Corp) | 20 | 2.8 |
Figure 1physical injuries sustained by victims of intimate partner violence 12 before and during pregnancy in Enugu State, December, 2015
bivariate analysis of factors associated with intimate partner violence before among attendees of maternal and child health services in Enugu State, Nigeria, December 2015
| History of violence before pregnancy | ||||
|---|---|---|---|---|
| Experienced violence N = 307 N (%) | Did not experience violence N = 395 N (%) | COR (95%) | P value | |
| Single or divorced | 23 (48.9) | 24 (51.1) | 1.25 (0.70, 2.26) | 0.456 |
| Married or cohabiting | 284 (43.4) | 371 (56.6) | 1 | |
| Unemployed | 6 (35.3) | 11 (64.7) | 0.70 (0.25, 1.90) | 0.477 |
| Employed | 301 (43.7) | 384 (56.3) | 1 | |
| Yes | 221 (46.9) | 250 (53.1) | 1.49 (1.08, 2.06) | 0.015 |
| No | 86 (37.2) | 145 (62.8) | 1 | |
| Yes | 20 (57.1) | 15 (42.9) | 2.18 (1.08, 4.38) | 0.026 |
| No | 156 (38.0) | 255 (62.0) | 1 | |
| Yes | 84 (52.8) | 75 (47.2) | 1.61 (1.13, 2.29) | 0.009 |
| No | 223 (41.1) | 320 (58.9) | 1 | |
| Yes | 85 (61.2) | 54 (38.8) | 2.42 (1.65, 3.54) | <0.001 |
| No | 222 (39.4) | 341 (60.6) | 1 | |
| Yes | 60 (64.5) | 33 (35.5) | 2.67 (1.69, 4.20) | <0.001 |
| No | 247 (40.6) | 362 (59.4) | 1 | |
| < 40 | 250 (46.5) | 288 (53.5) | 1.63 (1.13, 2.34) | 0.008 |
| ≥40 | 57 (34.8) | 107 (65.2) | 1 | |
| 27 (57.4) | 20 (42.6) | |||
| Single or divorced | 234 (35.7) | 421 (64.3) | 2.43 (1.33, 4.43) | 0.003 |
| Married or cohabiting | ||||
| 8 (47.1) | 9 (52.9) | 1 | ||
| Unemployed | 253 (36.9) | 432 (63.1) | 1.52 (0.58, 3.98) | 0.394 |
| Employed | ||||
| 179 (38.0) | 292 (62.0) | 1 | ||
| Yes | 82 (35.5) | 149 (64.5) | 1.11 (0.80, 1.55) | 0.519 |
| No | ||||
| 20 (57.1) | 15 (42.9) | 1 | ||
| Yes | 135 (32.8) | 276 (67.2) | 2.73 (1.35, 5.49) | 0.003 |
| No | ||||
| 73 (45.9) | 86 (51.4) | 1 | ||
| Yes | 188 (34.6) | 355 (65.4) | 1.60 (1.12, 2.29) | 0.009 |
| No | ||||
| 82 (59.0) | 57 (41.0) | 1 | ||
bivariate analysis of factors associated with intimate partner violence during pregnancy among attendees of maternal and child health services in Enugu State, Nigeria, December 2015
| History of violence during pregnancy | ||||
|---|---|---|---|---|
| Experienced violence N = 307 | Did not experience violence N = 395 | |||
| N (%) | N (%) | COR (95%) | P value | |
| Single or divorced | 27 (57.4) | 20 (42.6) | 2.43 (1.33, 4.43) | 0.003 |
| Married or cohabiting | 234 (35.7) | 421 (64.3) | ||
| 1 | ||||
| Unemployed | 8 (47.1) | 9 (52.9) | 1.52 (0.58, 3.98) | 0.394 |
| Employed | 253 (36.9) | 432 (63.1) | 1 | |
| Yes | 179 (38.0) | 292 (62.0) | 1.11 (0.80, 1.55) | 0.519 |
| No | 82 (35.5) | 149 (64.5) | 1 | |
| Yes | 20 (57.1) | 15 (42.9) | 2.73 (1.35, 5.49) | 0.003 |
| No | 135 (32.8) | 276 (67.2) | 1 | |
| Yes | 73 (45.9) | 86 (51.4) | 1.60 (1.12, 2.29) | 0.009 |
| No | 188 (34.6) | 355 (65.4) | 1 | |
| Yes | 82 (59.0) | 57 (41.0) | 3.09 (2.11, 4.52) | < 0.001 |
| No | 179 (31.8) | 384 (68.2) | 1 | |
| Yes | 54 (58.1) | 39 (41.9) | 2.69 (1.72, 4.19) | < 0.001 |
| No | 207 (34.0) | 402 (66.0) | ||
| 1 | ||||
| < 40 | 214 (39.8) | 324 (60.2) | 1.64 (1.12, 2.40) | 0.008 |
| ≥ 40 | 47 (28.7) | 117 (71.3) | 1 | |
multivariate logistic regression model to identify independent predictors of violence before and during the last pregnancy in Enugu State, Nigeria, December 2015
| +n = 441 | Factors associated with IPV before pregnancy | Factors associated with IPV during pregnancy | ||
|---|---|---|---|---|
| AOR (95% CI) | P-value | AOR(95% CI) | P-value | |
| Yes | 2.29 (1.43, 3.66) | 0.001 | 2.37 ( 1.47, 3.72) | < 0.001 |
| No | 1 | 1 | ||
| Yes | 2.24 (1.51, 3.32) | < 0.001 | 2.92 (1.97, 4.34) | < 0.001 |
| No | 1 | 1 | ||
| Yes | 1.63 (0.79, 3.39) | 0.19 | 1.91 (0.91, 4.02) | 0.09 |
| No | 1 | 1 | ||
| Yes | 0.66 (0.47, 0.93) | 0.02 | 0.92 (0.64, 1.30) | 0.61 |
| No | 1 | |||
| Yes | 1.72 (1.17, 2.53) | 0.01 | 1.69 (1.12, 2.53) | 0.01 |
| No | 1 | |||
| Married/cohabiting | 0.85 (0.44, 1.63) | 0.614 | 0.46 (0,24, 0.90) | 0.02 |
| Single/Divorced | 1 | |||
| Yes | 1.34 (0.96, 2.01) | 0.083 | 1.35 (0.92, 1.97) | 0.13 |
| No | 1 | |||
summary findings from key informant interviews conducted with officials of notable NGOs that deal with issues of violence in Enugu State, December, 2015
| Thematic Areas | Respondents (Officials of Non-Governmental Organization that deal with issues of domestic violence) |
| Types of violence | Physical violence: The men use horse wipe belts, buckle and broom on their wives; a women with eight months old pregnancy beaten to a state of unconsciousness hair pulling, slapping, hitting her head against the wall. |
| Psychological violence: The men destroy their items of trade; prevents their pregnant wives from receiving antenatal care | |
| Sexual violence: Marital rape and forced abortion | |
| Economic violence: The men forcefully collect money from their wives; the men destroy their items of trade; they refuse to give their wives money for food; they refuse to allow her take a job; refuse to pay the children’s school fees and they hide money away from their wives; the women suffer from starvation and lack of maintenance; They make unnecessary financial demands on their wives. | |
| Triggers of violence | Lack of sexual attraction |
| High poverty rate in state | |
| Societal norms and values | |
| They batter for pride | |
| Patrichial nature of the society | |
| If she refuse him sex | |
| Extreme anger | |
| Controlling behaviour | |
| Nagging | |
| Complications of IPV | Swollen reddish face and eyes; Burns from hot iron and hot water; Open wounds; Vaginal tear and bleeding as a result of marital rape; Insanity; broken bones and teeth; unconsciousness; miscarriages; unwanted pregnancy |
| Coping strategies of the victims | The women prefers to report to their own family, husband’s family, their religious leaders and NGOs |
| They also run away from the home | |
| Some fight back | |
| Staying in the marriage and accepting it as a way of life | |
| Very few of the victims report to law enforcement agents | |
| Solutions to end violence | Creating family courts in the state to settle family disputes |
| Domesticating the violence gender inequality bill in the state | |
| Translating existing laws and the rights of women to local languages | |
| Creating employment for the men and women | |
| Enacting the laws on prohibiting violence against women in the state | |
| Sensitization to create awareness on the complications of violence on the victims, family and the society | |
| Organizing behavioural modification seminars for men and women. |