| Literature DB >> 23926542 |
Abstract
BACKGROUND: THE REPORTS OF A RISE IN CONTRACEPTIVE PRACTICES HAVE NOT BEEN MATCHED BY A SIMILAR DECREASE IN POPULATION: therefore, there is a need to look into the causes of this discrepancy. The objectives of this study were to determine the prevalence of different methods of contraception used by Egyptian women, to compare different contraception methods used among various socio-demographic groups and, finally, to identify the main decision makers of contraception use within Egyptian families.Entities:
Keywords: Contraceptive; Egypt; Husband; Sociodemographic
Year: 2012 PMID: 23926542 PMCID: PMC3719353
Source DB: PubMed Journal: J Reprod Infertil ISSN: 2228-5482
Sociodemographic characteristics of the studied sample (EDHS)
| Sociodemographic determinant | Frequency (n = 18134) | Percent (%) |
|---|---|---|
|
| ||
| < 20 year | 843 | 4.6 |
| 20–29 | 6583 | 36.4 |
| 30–39 | 6021 | 33.2 |
| 40–49 | 4687 | 25.8 |
|
| ||
| Urban governorates | 3304 | 18.2 |
| Urban Lower Egypt | 1454 | 8.0 |
| Rural Lower Egypt | 4088 | 22.5 |
| Urban Upper Egypt | 2268 | 12.5 |
| Rural Upper Egypt | 6169 | 34.0 |
| Frontier governorates | 851 | 4.8 |
|
| ||
| Illiterate | 6282 | 34.6 |
| Primary | 2809 | 15.5 |
| Secondary | 7334 | 40.4 |
| Higher | 1709 | 9.5 |
|
| ||
| House wife | 14237 | 78.6 |
| Profession | 1431 | 7.9 |
| Clerical | 513 | 2.9 |
| Sales-woman | 244 | 1.3 |
| Farmer | 1068 | 5.8 |
| Others | 641 | 3.5 |
|
| ||
| Poorest | 3859 | 21.3 |
| Poorer | 3598 | 19.8 |
| Middle | 3425 | 18.9 |
| Richer | 3562 | 19.6 |
| Richest | 3690 | 20.4 |
|
| ||
| Not using | 7711 | 42.5 |
| IUD | 5996 | 33.1 |
| Pills | 1961 | 10.8 |
| Injections | 1398 | 7.7 |
| Others | 1068 | 5.9 |
Contraception methods currently used and intention to use in future
| Use | Frequency | Percent (%) |
|---|---|---|
|
| ||
| Currently using | 10423 | 57.5 |
| Used since last birth | 2699 | 14.9 |
| Used before last birth | 1434 | 7.9 |
| Never used | 3584 | 19.7 |
| Total | 18134 | 100.0 |
|
| ||
| Using modern methods | 9950 | 54.9 |
| Using traditional methods | 473 | 2.6 |
| Non-user but intends to use | 4941 | 27.2 |
| Does not intend to use | 2770 | 15.3 |
| Total | 18134 | 100.0 |
|
| ||
| Use later | 4941 | 64.5 |
| Unsure about use | 369 | 4.8 |
| Does not intend | 2347 | 30.7 |
| Total | 7657 | 100 |
|
| ||
| Pill | 772 | 15.5 |
| IUD | 1749 | 35.1 |
| Injections | 469 | 9.4 |
| Female sterilization | 38 | 0.7 |
| Others | 1963 | 39.3 |
| Total | 4991 | 100.0 |
Association between different contraception methods and sociodemographic characteristics of users
| Sociodemographic determinant | Not using (n = 7711) (42.5%) | IUD (n = 5996) (33.1%) | Pill (n = 1961) (10.8%) | Others (n = 2466) (13.6%) | Total (n = 18134) (100.0%) |
|---|---|---|---|---|---|
|
| |||||
| <20 year | 628 (74.5%) | 126 (14.9%) | 51 (6.1%) | 38 (4.5%) | 843 (100.0%) |
| 20–29 | 3245 (49.2%) | 1920 (29.2%) | 688 (10.5%) | 730 (11.1%) | 6583 (100.0%) |
| 30–39 | 1867 (31.0%) | 2417 (40.1%) | 757 (12.6%) | 980 (16.3%) | 6021 (100.0%) |
| 40–49 | 1971(42.1%) | 1533 (32.7%) | 465 (9.9%) | 718 (15.3%) | 4687 (100.0%) |
|
| p < 0.001 | ||||
|
| |||||
| Urban | 2898 (38.5%) | 2832 (37.5%) | 919 (12.2%) | 888 (11.8%) | 7537 (100.0%) |
| Rural | 4813 (45.4%) | 3164 (29.9%) | 1042 (9.8%) | 1578 (14.9%) | 10597 (100.0%) |
|
| p < 0.001 | ||||
|
| |||||
| Illiterate | 2942 (46.8%) | 1679 (26.7%) | 583 (9.3%) | (17.2%) 1078 | 6282 (100.0%) |
| Primary | 1120 (39.9%) | 957 (34.1%) | 300 (10.7%) | 432 (15.3%) | 2809 (100.0%) |
| Secondary | 2973 (40.5%) | 2665 (36.4%) | 896 (12.2%) | 800 (10.9%) | 7334 (100.0%) |
| Higher | 676 (39.6%) | 695 (40.7%) | 182 (10.6%) | 156 (9.1%) | 1709 (100.0%) |
|
| p < 0.001 | ||||
|
| |||||
| House wife | 6286 (44.2%) | 4511 (31.6%) | 1565(11.0%) | (13.2%) 1875 | 14237 (100.0%) |
| Profession | 509 (35.6%) | 590 (41.2%) | 159 (11.1%) | 173 (12.1%) | 1431 (100.0%) |
| Clerical | 157 (30.6%) | 224 (43.6%) | 64 (12.5%) | 68 (13.3%) | 513 (100.0%) |
| Sales-woman | 82 (33.6%) | 89 (36.5%) | 33 (13.5%) | 40 (16.4%) | 244 (100.0%) |
| Farmer | 436 (40.8%) | 342 (32.1%) | 91 (8.5%) | 199 (18.6%) | 1068 (100.0%) |
| Others | 241 (37.6%) | 240 (37.5%) | 49 (7.6%) | 111 (17.3%) | 641 (100.0%) |
|
| p < 0.001 | ||||
|
| |||||
| Poorest | 1871(48.5%) | 906 (23.5%) | 344 (8.9%) | 738 (19.1%) | 3859 (100.0%) |
| Poorer | 1608 (44.7% | 1072 (29.8%) | 375 (10.4%) | 543 (15.1%) | 3598 (100.0%) |
| Middle | 1452 (42.4%) | 1145 (33.4%) | 393 (11.5%) | 435 (12.7%) | 3425 (100.0%) |
| Richer | 1404 (39.4%) | 1363 (38.2%) | 426 (12.0%) | 369 (10.4%) | 3562 (100.0%) |
| Richest | 1376 (37.3%) | 1510 (40.9%) | 423 (11.5%) | 381 (10.3%) | 3690 (100.0%) |
|
| p < 0.001 | ||||
Decision-making for using contraception among different educational levels
| Decision-maker | Women's level of education | |||
|---|---|---|---|---|
|
| ||||
| Illiterate | Primary | Secondary | Higher | |
|
| 575 (17.4%) | 272 (16.2%) | 618 (14.3%) | 127 (12.4%) |
|
| 160 (4.8%) | 75 (4.5%) | 146 (3.3%) | 27 (2.6%) |
|
| 2567 (77.5%) | 1324 (78.9%) | 3560 (82.2%) | 868 (84.7%) |
|
| 10 (0.3%) | 6 (0.4%) | 9 (0.2%) | 3 (0.3%) |
|
| 3312 (100%) | 1677 (100%) | 4333 (100%) | 1025 (100%) |
χ =43.707, p < 0.001