| Literature DB >> 27347284 |
Gelawdiwos Gebre1, Nigussie Birhan2, Kahsay Gebreslasie3.
Abstract
INTRODUCTION: Unmet family planning is one of the common causes for low contraceptive prevalence rate in developing countries including Ethiopia. Thus, this study designed to assess the prevalence and associated factors of unmet need in Shire Endaslassie town, Northern west of Tigray, Ethiopia.Entities:
Keywords: Ethiopia; Married women; family planning; shire; unmet need
Mesh:
Year: 2016 PMID: 27347284 PMCID: PMC4907757 DOI: 10.11604/pamj.2016.23.195.8386
Source DB: PubMed Journal: Pan Afr Med J
Frequency distribution of Socio-demographic characteristics of currently married RAW in Shire Endaslassie town, Northern west of Tigray, Ethiopia, 2015
| Characteristics | Frequency | Percent |
|---|---|---|
| 15-19 | 16 | 3 |
| 20-24 | 92 | 18 |
| 25-29 | 127 | 25 |
| 30-34 | 107 | 21 |
| 35-59 | 98 | 19 |
| >= 40 | 70 | 14 |
| Orthodox | 398 | 78 |
| Muslim | 110 | 22 |
| Others | 2 | 0.4 |
| Tigray | 479 | 94 |
| Amhara | 22 | 4 |
| Others | 9 | 2 |
| No formal Education | 134 | 27 |
| Primary Education Completed | 53 | 11 |
| Secondary School Completed | 231 | 54 |
| Higher Level Education | 92 | 18 |
| House wife | 245 | 48 |
| Governmental Employee | 105 | 21 |
| Merchant | 104 | 20 |
| Others | 56 | 11 |
| No | 250 | 49 |
| Yes | 260 | 51 |
| <600 ETB | 38 | 8 |
| 600-1044ETB | 98 | 19 |
| 1045-1599ETB | 36 | 7 |
| >1600ETB | 88 | 17 |
Logistic regression analysis of associated variables with total of Unmet Need for FP among currently married RAW in Shire Endaslassie town, Northern west of Tigray, Ethiopia, 2015
| Independent Variables | Unmet need for family planning | COR(95%CI) | AOR(95%CI) | |
|---|---|---|---|---|
| Yes | no | |||
| 15-19 | 1 | 15 | 1 | 1 |
| 20-24 | 17 | 75 | 3.4(0.4, 27.5) | 0.30(0.03, 2.72) |
| 25-29 | 25 | 102 | 3.67(0.46, 29.16) | 1.60(0.61, 4.18) |
| 30-34 | 25 | 82 | 4.57(0.57, 36.35) | 1.92(0.79, 4.66) |
| 35-39 | 25 | 73 | 5.13(0.64, 40.89) | |
| >= 40 | 16 | 54 | 4.44(0.54, 36.28) |
|
|
| ||||
| No formal education | 35 | 99 | 1 |
|
| Primary | 13 | 40 | 1.67(0.86, 3.25) | |
| Secondary | 45 | 186 | 1.54(0.67, 3.52) | |
| Higher education | 16 | 76 | 1.14(0.61, 2.15) | |
|
| ||||
| House wife | 53 | 192 | 1 |
|
| Governmental employee | 19 | 86 | 0.80(o.44, 1.43) | |
| Merchant | 28 | 76 | 1.33(0.78, 2.26) | |
| Others | 9 | 47 | 0.69(0.32, 1.50) | |
|
| ||||
| At < 18 years old | 60 | 205 | 1 |
|
| At >=18 years old | 49 | 196 | 0.85(0.55, 1.30) | |
| <5 | 55 | 276 | 0.46(0.30, o.71) |
|
| >5 | 54 | 12 | 1 |
|
| Yes | 88 | 390 | 1 |
|
| No | 21 | 11 | 8.46(3.93, 18.18) |
|
| Yes | 28 | 361 | 1 | |
| No | 31 | 40 | 3.58(2.11, 6.08) | |