| Literature DB >> 26697849 |
Alexandre Delamou1,2, Ghazaleh Samandari3, Bienvenu Salim Camara4, Pernamou Traore5, Fatoumata Guilinty Diallo6, Sita Millimono7, Defa Wane8, Maimouna Toliver9, Kira Laffe10, Fabio Verani11.
Abstract
BACKGROUND: Intimate partner violence (IPV) is a global public health problem that affects women's physical, mental, sexual and reproductive health. Very little data on IPV experience and FP use is available in resource-poor settings, such as in West Africa. The aim of this study was to describe the prevalence, patterns and correlates of IPV among clients of an adult Family Planning clinic in Conakry, Guinea.Entities:
Mesh:
Year: 2015 PMID: 26697849 PMCID: PMC4690260 DOI: 10.1186/s13104-015-1811-7
Source DB: PubMed Journal: BMC Res Notes ISSN: 1756-0500
Socio-demographics characteristics of family planning clients screened for Intimate partner violence (IPV) at the AGBEF Clinic from March to June 2014 in Conakry, Guinea
| Variables | Screened for IPV number (%) | IPV positive number (%) |
|---|---|---|
| Total | 232 | 213 |
| Age, years | ||
| 15–19 | 27 (11.6) | 24 (11.3) |
| 20–24 | 61 (26.3) | 58 (27.2) |
| 25–34 | 81 (34.9) | 74 (34.7) |
| 35–49 | 63 (27.2) | 57 (26.8) |
| Mean (SD) | 28.7 (8.0) | 28.5 (7.9) |
| Marital status | ||
| Married | 94 (40.5) | 86 (40.4) |
| Not married | 138 (59.5) | 127 (59.6) |
| Occupation | ||
| Housewife | 21 (9.1) | 20 (9.4) |
| Workwoman | 40 (17.2) | 38 (17.8) |
| Seller | 85 (36.6) | 80 (37.6) |
| Employee | 36 (15.5) | 32 (15.0) |
| Student | 50 (21.6) | 43 (20.2) |
| Level of education | ||
| None | 73 (31.5) | 67 (31.5) |
| Primary | 55 (23.7) | 51 (23.9) |
| Secondary and vocational school | 74 (31.9) | 71 (33.3) |
| University | 30 (12.9) | 24 (11.3) |
| Residence | ||
| Dixinn | 105 (45.3) | 102 (47.9) |
| Other communes | 127 (54.7) | 111 (52.1) |
| Partner occupation | ||
| Unemployed | 37 (15.9) | 32 (15.0) |
| Workman | 38 (16.4) | 35 (16.4) |
| Seller | 77 (33.2) | 71 (33.3) |
| Employee | 64 (27.6) | 60 (28.2) |
| Student | 16 (06.9) | 15 (07.1) |
| Partner’s level of education | ||
| None | 68 (29.3) | 64 (30.0) |
| Primary | 38 (16.4) | 33 (15.5) |
| Secondary and vocational school | 77 (33.2) | 70 (32.9) |
| University | 49 (21.1) | 46 (21.6) |
| Number of pregnancies | ||
| 0 | 28 (12.0) | 23 (10.8) |
| 1 | 51 (22.0) | 48 (22.5) |
| 2–4 | 109 (47.0) | 101 (47.4) |
| ≥5 | 44 (19.0) | 41 (19.3) |
| Mean (SD) | 2.7 (2.1) | 2.8 (2.0) |
| Number of live children | ||
| 0 | 30 (12.9) | 25 (11.7) |
| 1 | 59 (25.4) | 56 (26.3) |
| 2–4 | 112 (48.3) | 103 (48.4) |
| ≥5 | 31 (13.4) | 29 (13.6) |
| Mean (SD) | 2.4 (1.8) | 2.4 (1.8) |
| Previous use of FP | ||
| No | 115 (49.6) | 104 (48.8) |
| Yes | 117 (50.4) | 109 (51.2) |
| Mean duration of FP use (SD), months | 6.6 (10.3) | 6.9 (10.6) |
| Previous FP method used (n = 130) | ||
| Injectable | 98 (75.4) | 95 (77.9) |
| Pills | 06 (04.6) | 06 (04.9) |
| IUD | 22 (16.9) | 18 (14.7) |
| Implants | 04 (03.1) | 03 (02.5) |
| FP method used at this visit | ||
| Injectable | 174 (75.0) | 166 (77.9) |
| Pills | 10 (04.3) | 09 (04.2) |
| IUD | 39 (16.8) | 31 (14.6) |
| Implants | 09 (03.9) | 07 (03.3) |
| Reasons for choosing this FP method | ||
| Discretion | 80 (71.4) | 75 (71.4) |
| Fertility return | 11 (09.8) | 11 (10.5) |
| Not constraining | 16 (14.3) | 14 (13.3) |
| Easy | 05 (04.5) | 05 (04.8) |
Prevalence of Intimate partner violence (IPV) among women screened at the AGBEF Clinic from March to June 2014 in Conakry, Guinea
| Among women screened for IPV | Among IPV positive women | |
|---|---|---|
| Total | 232 | 213 |
| Prevalence of IPV | ||
| IPV negative | 19 (8.2) | N/A |
| IPV positive | 213 (91.8) | N/A |
| Type of IPV | ||
| Psychological violence | 169 (79.3) | |
| Physical violence | 103 (48.4) | |
| Sexual violence | 145 (68.1) | |
Fig. 1Venn diagram illustrating overlaps between lifetime experiences of psychological, physical and sexual violence reported by FP clients in Conakry, Guinea, March to June 2014
Correlates of any type of IPV among FP clients at the AGBEF Clinic from March to June 2014, Conakry, Guinea (N = 232)
| IPV positive | Unadjusted | Adjusteda OR (95 % CI) | P-value | |
|---|---|---|---|---|
| Total | 232 | 232 | 232 | |
| Age, years | 28.5 (7.9) | 0.98 (0.92–1.03) | 0.93 (0.82–1.05) | 0.222 |
| Marital status | 0.954 | |||
| Married | 86 (91.5) | 1 | 1 | |
| Not married | 127 (92.0) | 1.07 (0.41–2.78) | 0.96 (0.23–3.92) | |
| Woman’s level of education | ||||
| None | 67 (91.8) | 2.79 (0.82–9.49) | 0.75 (0.06–9.02) | 0.820 |
| Primary | 51 (92.7) | 3.19 (0.82–12.36) | 1.59 (0.18–14.31) | 0.681 |
| Secondary and vocational | 71 (95.9) |
|
| 0.031 |
| Higher | 24 (80.0) | 1 | 1 | |
| Woman’s occupation | ||||
| Housewife | 20 (95.2) | 3.26 (0.37–28.27) | 12.92 (0.44–72.38) | 0.139 |
| Workwoman | 38 (95.0) | 3.09 (0.60–15.80) | 7.18 (0.51–100.21) | 0.143 |
| Seller | 80 (94.1) | 2.60 (0.78–8.70) | 9.69 (0.77–99.46) | 0.078 |
| Employee | 32 (88.9) | 1.30 (0.35–4.83) | 2.56 (0.36–18.33) | 0.349 |
| Student | 43 (86.0) | 1 | 1 | |
| Residence | 0.016 | |||
| Dixinn | 111 (87.4) | 1 | 1 | |
| Other communes | 102 (97.1) |
|
| |
| Partner occupation | ||||
| Unemployed | 32 (86.5) | 1 | 1 | 0.291 |
| Workman | 35 (92.1) | 1.82 (0.40–8.25) | 2.83 (0.41–19.50) | 0.306 |
| Seller | 71 (92.2) | 1.85 (0.52–6.51) | 2.33 (0.46–11.85) | 0.269 |
| Employee | 60 (93.8) | 2.34 (0.59–9.34) | 2.75 (0.46–16.64) | 0.783 |
| Student | 15 (93.8) | 2.34 (0.25–21.86) | 0.63 (0.02–16.28) | |
| Partner’s level of education | ||||
| None | 64 (94.1) | 2.42 (0.61–9.64) | 3.77 (0.57–24.68) | 0.166 |
| Primary | 33 (86.8) | 1 | 1 | 0.859 |
| Secondary and vocational | 70 (90.9) | 1.51 (0.45–5.13) | 0.87 (0.18–4.22) | 0.105 |
| Higher | 46 (93.9) | 2.32 (0.52–10.41) | 7.00 (0.67–73.74) | |
| Number of live children | 2.45 (1.8) | 1.16 (0.87–1.55) | 1.55 (0.85–2.85) | 0.155 |
| FP method adopted | ||||
| Injectable | 166 (95.4) |
|
| 0.024 |
| Non injectable | 47 (81.0) | 1 | 1 | |
| Duration of FP use (months) | 6.9 (10.6) | 1.04 (0.97–1.11) | 1.08 (0.99–1.19) | 0.093 |
Hosmer–Lemeshow test for goodness-of-fit: chi2 (8 d.f.) = 7.64; p = 0.470
Woman’s occupation and Partner’s occupation were not included in bivariate and multivariate analyses because of correlation with respectively woman and partner’s level of education
OR odds ratios, CI confidence interval, IUD intra uterine device
aMultivariate analysis adjusting for possible confounding factors