| Literature DB >> 29739372 |
Anthony Idowu Ajayi1, Oladele Vincent Adeniyi2, Wilson Akpan3.
Abstract
BACKGROUND: Contraceptive use has numerous health benefits such as preventing unplanned pregnancies, ensuring optimum spacing between births, reducing maternal and child mortality, and improving the lives of women and children in general. This study examines the level of contraceptive use, its determinants, reasons for non-use of contraception among women in the reproductive age group (18-49 years) in two southwestern Nigerian states.Entities:
Keywords: Child spacing; Contraceptive methods; Family planning; Modern contraception; Southwestern Nigeria; Traditional contraception
Mesh:
Year: 2018 PMID: 29739372 PMCID: PMC5941455 DOI: 10.1186/s12889-018-5522-6
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Demographic characteristics of respondents
| Variables | Frequencies ( | Percentages |
|---|---|---|
| Age | ||
| 20 years and below | 30 | 3.7 |
| 21–25 | 127 | 15.9 |
| 26–30 | 249 | 30.8 |
| 31–35 | 199 | 24.6 |
| 36–40 | 146 | 18.0 |
| Above 40 | 58 | 7.2 |
| Level of education | ||
| No formal education | 8 | 1.0 |
| Primary education | 114 | 14.1 |
| Secondary education | 435 | 53.8 |
| Tertiary education | 252 | 31.1 |
| Place of residence | ||
| Urban | 307 | 37.9 |
| Peri-urban | 207 | 25.6 |
| Rural | 295 | 36.5 |
| Religion | ||
| Christian | 677 | 83.7 |
| Muslim | 132 | 16.3 |
| Ethnic group | ||
| Yoruba | 706 | 87.5 |
| Igbo | 45 | 5.6 |
| Ebira | 21 | 2.6 |
| Others | 35 | 4.2 |
| Marital status | ||
| Currently married | 778 | 96.2 |
| Formerly married | 5 | 0.6 |
| Never married | 26 | 3.2 |
| Employed | 692 | 85.5 |
| Own a phone | 761 | 94.1 |
| Watch television | 775 | 95.8 |
| Own bank account | 468 | 57.8 |
| Use internet | 260 | 32.1 |
| Number of children | ||
| One | 189 | 23.4 |
| Two | 200 | 24.7 |
| Three | 206 | 25.5 |
| Four | 141 | 17.4 |
| Above four | 73 | 8.8 |
| Income categories | ||
| No income | 118 | 14.7 |
| N20000 and below | 557 | 69.3 |
| Above N20000 | 129 | 16.0 |
| Socioeconomic status | ||
| Low | 52 | 6.5 |
| Middle | 461 | 57.2 |
| High | 293 | 36.4 |
Awareness and use of contraceptive methods
| Variables | Aware of contraceptive methods ( | Ever use | Current use ( |
|---|---|---|---|
| Male sterilisation | 155 (19.5) | 0 (0) | 0 (0.0) |
| Female sterilisation | 782 (98.6) | 2 (0.3) | 1 (0.2) |
| Intrauterine device (IUD) | 595 (74.9) | 24 (3.7) | 22 (4.1) |
| Injectable | 768 (96.7) | 66 (10.2) | 54 (10.0) |
| Implants | 730 (92.1) | 27 (4.2) | 23 (4.3) |
| Oral pills | 769 (97.2) | 116 (18.0) | 72 (13.4) |
| Male Condom | 782 (98.6) | 106 (16.4) | 96 (17.8) |
| Female condom | 738 (93.1) | 1 (0.2) | 1 (0.2) |
| Emergency contraception | 708 (89.3) | 13 (2.0) | 12 (2.2) |
| Rhythm method/Standard day method | 737 (92.9) | 144 (22.3) | 142 (26.4) |
| Lactation Amenorrhea | 734 (92.6) | 7 (1.1) | 6 (1.1) |
| Withdrawal method | 748 (94.3) | 101 (15.7) | 99 (16.8) |
| Folk methods | 48 (6.1) | 8 (1.2) | 10 (1.8) |
Key: folk methods- use of lime, alcohol, salt and water, douching/extraction of sperm and amplicox as emergency contraception
Factors associated with use of contraceptive
| Variables | Ever use any methods ( | Ever used any modern methods (355) | Current use of any contraception methods (538) | Current use of any modern contraceptive methods (281) | ||||
|---|---|---|---|---|---|---|---|---|
| Frequency (%) | AOR (CI) | Frequency (%) | AOR (CI) | Frequency (%) | AOR (CI) | Frequency (%) | AOR (CI) | |
| Age | ||||||||
| 30 and below | 305 (79.2) | Ref | 174 (43.0) | Ref | 251 (65.2) | Ref | 138 (34.1) | Ref |
| Above 30 | 339 (87.1) | 1.3 (0.8–2.0) | 181 (44.9) | 287 (73.8) | 1.0 (0.7–1.5) | 143 (35.5) | 0.8 (0.6–1.1) | |
| Level of education | ||||||||
| No formal education | 4 (50.0) | – | 1 (12.5) | – | 3 (37.5) | 0 (0.0) | – | |
| Primary | 86 (79.6) | – | 50 (43.9) | – | 70 (64.8) | 39 (34.2) | – | |
| Secondary | 344(82.5) | – | 193 (44.4) | – | 286 (68.6) | 150 (34.5) | – | |
| Higher degree | 211 (87.2) | – | 111 (44.0) | – | 180 (74.4) | 92 (36.5) | – | |
| Place of residence | ||||||||
| Urban | 270 (92.8) | 3.7 (2.2–6.0)*** | 130 (42.3) | 1.6 (1.1–2.2)* | 248 (85.2) | 4.5 (3.0–6.8)*** | 122 (39.7) | 2.1 (1.4–3.0)*** |
| Peri-urban | 167 (83.9) | 2.3 (1.4–3.8)** | 100 (48.3) | 1.7 (1.2–2.5)* | 137 (68.8) | 2.2 (1.5–3.3)*** | 77 (37.2) | 1.9 (1.3–2.9)*** |
| Rural | 208 (73.0) | 125 (42.4) | 154 (54.0) | Ref | 82 (27.8) | Ref | ||
| Socioeconomic status | ||||||||
| Low | 33 (64.7) | Ref | 26 (50.0) | Ref | 24 (47.1) | Ref | 19 (36.5) | Ref |
| Middle | 361 (82.6) | 1.8 (0.9–3.5) | 199 (43.2) | 1.0 (0.5–1.8) | 301 (68.9) | 1.7 (0.9–3.2) | 152 (33.0) | 0.9 (0.5–1.7) |
| High | 248 (87.3) | 2.1 (1.01–4.3)* | 130 (44.4) | 1.2 (0.6–2.3) | 212 (74.6) | 1.9 (1.0–3.6) | 110 (37.5) | 1.0 (0.5–2.0) |
| Parity | ||||||||
| 1 | 128 (73.1) | Ref | 64 (33.9) | Ref | 102 (58.3) | Ref | 52 (27.5) | Ref |
| 2 | 177 (91.7) | 3.9 (2.2–7.1)*** | 99 (49.5) | 1.9 (1.2–2.9)* | 150 (77.7) | 2.9 (1.8–4.8)*** | 78 (39.0) | 1.6 (1.1–2.5)* |
| 3 | 165 (82.5) | 1.9 (1.1–3.3)* | 89 (43.2) | 1.4 (0.9–2.2) | 142 (71.0) | 2.1 (1.3–3.4)*** | 71 (34.5) | 1.4 (0.9–2.2) |
| 4 and above | 175 (84.5) | 2.7 (1.5–4.8)*** | 103 (48.9) | 1.9 (1.2–3.0)* | 145 (70.0) | 2.4 (1.5–4.1)*** | 80 (37.4) | 1.7 (1.03–2.7)* |
Models adjusted for level of education; Ref reference, AOR adjusted odd ratio, CI confidence interval
*** Means p < 001, ** Means P < 0.005, * Means P < 0.05