| Literature DB >> 21599927 |
Samuel Yohannes1, Mekitie Wondafrash, Mulumebet Abera, Eshetu Girma.
Abstract
BACKGROUND: Longer intervals between consecutive births decrease the number of children a woman can have. This results in beneficial effects on population size and on the health status of mothers and children. Therefore, understanding the practice of birth interval and its determinants is helpful to design evidence based strategies for interventions. The objective of this study was to determine duration and determinants of birth interval among women of child bearing age in Lemo district, southern Ethiopia in March 2010.Entities:
Mesh:
Year: 2011 PMID: 21599927 PMCID: PMC3112064 DOI: 10.1186/1471-2393-11-38
Source DB: PubMed Journal: BMC Pregnancy Childbirth ISSN: 1471-2393 Impact factor: 3.007
Socio-demographic characteristics of the respondents in Lemo district, Ethiopia, 2010
| Variable | Categories | Frequency(n = 811) | % |
|---|---|---|---|
| Rural | 552 | 68.1 | |
| Urban | 259 | 31.9 | |
| Married | 777 | 95.8 | |
| Others* | 34 | 4.2 | |
| Protestant | 563 | 69.4 | |
| Orthodox | 121 | 14.9 | |
| Islam | 56 | 6.9 | |
| Others | 71 | 8.8 | |
| Hadiya | 678 | 83.6 | |
| Amhara | 44 | 5.4 | |
| Kembata | 42 | 5.2 | |
| Others** | 47 | 5.8 | |
| Cannot read and write | 207 | 25.5 | |
| Primary | 444 | 54.8 | |
| Secondary & above | 160 | 19.7 | |
| Cannot read and write | 82 | 10.1 | |
| Primary | 356 | 43.9 | |
| Secondary & above | 339 | 41.8 | |
| House wife | 727 | 89.6 | |
| Employee | 24 | 3.0 | |
| Others*** | 60 | 7.5 | |
| 15-19 | 4 | 0.5 | |
| 20-24 | 47 | 5.8 | |
| 25-29 | 273 | 33.7 | |
| 30-34 | 223 | 27.5 | |
| 35-39 | 188 | 23.2 | |
| 40-44 | 38 | 4.7 | |
| 45-49 | 38 | 4.7 | |
*divorced, widowed **Wolayta, Gurage, Dawro ***merchant, pension, farmer
Figure 1Proportions of mothers with their respective actual birth interval practice in Lemo district, Ethiopia, 2010
Predictors of birth interval in Lemo district, Ethiopia, 2010
| Variable | Short birth interval | AOR* (95.0% C.I) | |
|---|---|---|---|
| No | Yes | ||
| Urban | 135 (52.1) | 124(47.9) | 1 |
| Rural | 209(37.9) | 343(62.1) | 2.66(1.39, 5.08) |
| Employee | 76(51.7) | 71(48.3) | 1 |
| Farmer | 167(38.8) | 263(61.2) | 0.81(0.38, 1.72) |
| Merchant | 48(41.4) | 68(58.6) | 1.12(0.60, 2.06) |
| Daily laborer | 26(37.7) | 43(62.3) | 0.13(0.03, 0.61) |
| Student | 27(55.1) | 22(44.9) | 0.50 (0.26, 0.99) |
| 0 - 6 months | 5(29.4) | 12(70.6) | 1 |
| 7 - 12 months | 5(5.2) | 91(94.8) | 8.78(1.73, 44.66) |
| 13 - 23 months | 11(7.0) | 147(93.0) | 4.56(1.11, 18.69) |
| 24 and above | 323(59.8) | 217(40.2) | 0.25(0.07, 0.89) |
| Yes | 217(48.5) | 230(51.5) | 1 |
| No | 127(34.9) | 237(65.1) | 1.56(1.10, 2.21) |
| Lowest quartile | 65(30.4) | 149(69.6) | 1 |
| Second quartile | 73(41.2) | 104(58.8) | 0.75(0.45, 1.26) |
| Third quartile | 92(42.4) | 125(57.6) | 0.68(0.42, 1.12) |
| Highest quartile | 114(56.2) | 89(43.8) | 0.49(0.25, 0.96) |
* Adjusted for some selected socio-demographic variables