| Literature DB >> 27286859 |
Method R Kazaura1, Mangi J Ezekiel2, Dereck Chitama3.
Abstract
BACKGROUND: In Tanzania like in many sub-Saharan countries the data about Intimate Partner Violence (IPV) are scarce and diverse. This study aims to determine the magnitude of IPV and associated factors among ever partnered women in urban mainland Tanzania.Entities:
Keywords: Intimate partner; Tanzania; Violence
Mesh:
Year: 2016 PMID: 27286859 PMCID: PMC4902958 DOI: 10.1186/s12889-016-3161-3
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Distribution of study participants by background characteristics (n = 471)
| Characteristic | Number (%) |
|---|---|
| Current age (years) | |
| 25–29 | 161 (34.2) |
| 30–34 | 100 (21.2) |
| 35–39 | 82 (17.4) |
| 40–44 | 61 (13.0) |
| 45–50 | 67 (14.2) |
| Education | |
| Below secondary | 356 (75.6) |
| Secondary and above | 115 (24.4) |
| Current marital status | |
| Casual Partner | 74 (15.7) |
| Married/Cohabiting | 317 (67.3) |
| Divorced/Widow | 80 (17.0) |
| Occupationa | |
| Small scale farming | 140 (29.7) |
| Employed/Business | 306 (30.1) |
| Otherb | 19 (4.1) |
aNumbers do not add up to 471 because of missing responses
bHousewife, unemployed or student
Fig. 1Proportion of women reporting current and lifetime types of intimate partner violence
Association between reporting intimate partner violence and characteristics of respondents
| Type of IPV and characteristic of woman | Total Women ( | Number (%) reporting IPV, 137 (32.9 %) | χ2, |
|---|---|---|---|
| Emotional violence | |||
|
| 0.60, 0.96 | ||
| 25–29 | 161 | 82 (50.9) | |
| 30–34 | 100 | 48 (48.0) | |
| 35–39 | 82 | 42 (51.2) | |
| 40–44 | 61 | 30 (49.2) | |
| 45–50 | 67 | 36 (53.7) | |
|
| |||
| Casual partner | 74 | 35 (47.3) | 4.47, 0.11 |
| Married/Cohabiting | 317 | 154 (48.6) | |
| Previously married | 80 | 49 (61.3) | |
|
| 2.13, 0.35 | ||
| None/Informal | 16 | 6 (37.5) | |
| Primary | 340 | 178 (52.4) | |
| Secondary and above | 115 | 54 (47.0) | |
| Physical violence | |||
|
| 3.22, 0.52 | ||
| 25–29 | 161 | 80 (49.7) | |
| 30–34 | 100 | 40 (40.0) | |
| 35–39 | 82 | 35 (42.7) | |
| 40–44 | 61 | 25 (41.0) | |
| 45–50 | 67 | 32 (47.8) | |
|
| 6.21, 0.05 | ||
| Casual partner | 74 | 30 (40.5) | |
| Married/Cohabiting | 317 | 136 (42.9) | |
| Previously married | 80 | 46 (57.5) | |
|
| 3.66, 0.16 | ||
| None/Informal | 16 | 7 (47.8) | |
| Primary | 340 | 162 (47.6) | |
| Secondary and above | 115 | 43 (37.4) | |
| Sexual violence | |||
|
| 1.84, 0.76 | ||
| 25–29 | 161 | 50 (31.1) | |
| 30–34 | 100 | 29 (29.0) | |
| 35–39 | 82 | 25 (30.5) | |
| 40–44 | 61 | 18 (29.5) | |
| 45–50 | 67 | 15 (22.4) | |
|
| 0.63, 0.73 | ||
| Casual partner | 74 | 20 (27.0) | |
| Married/Cohabiting | 317 | 91 (28.7) | |
| Previously married | 80 | 26 (32.5) | |
|
| 2.67, 0.23 | ||
| None/Informal | 16 | 6 (37.5) | |
| Primary | 340 | 104 (30.6) | |
| Secondary and above | 115 | 27 (23.5) |
Prevalence of women’s perpetration to physical violence by their exposure to types of IPV
| Women exposed to IPV | Prevalence of perpetration Number (%) |
|---|---|
| Emotional violence | |
| Yes ( | 24 (10.1) |
| No ( | 8 (3.6) |
| Physical violence | |
| Yes ( | 21 (10.2) |
| No ( | 11 (4.3) |
| Sexual violence | |
| Yes ( | 15 (11.0) |
| No ( | 17 (5.3) |
Logistic regression on predictors of the female perpetration to physical violence
| Predictor | Adjusted Odds Ratioa (95 % CI) |
|---|---|
|
| |
| 25–29 | Reference |
| 30–34 | 1.5 (0.5, 4.5) |
| 35–39 | 0.1 (0.0, 1.6) |
| 40–44 | 1.5 (0.4, 5.2) |
| 45–50 | 1.1 (0.3, 4.1) |
|
| |
| Casual partner | Reference |
| Married/Cohabiting | 0.5 (0.2, 1.5) |
| Previously married | 1.0 (0.3, 4.1) |
|
| |
| Below secondary | Reference |
| Secondary and above | 1.2 (0.5, 2.9) |
aIncluding robust estimation of variances accounting for cluster sampling at village level