| Literature DB >> 33209187 |
Ubong Akpan Okon1,2, Baffa Sule Ibrahim1,3, Rabi Usman1, Elizabeth Adedire1, Muhammad Shakir Balogun1, Adebola Olayinka4.
Abstract
INTRODUCTION: every year in Nigeria 12,695 babies are born with neural tube defects. Folic acid reduces the risk of neural tube defect by about 50% among peri-conceptional users. We conducted this study to determine the awareness and use of folic acid among women of childbearing age in Benue State, Nigeria.Entities:
Keywords: Folic acid; childbearing age; neural tube defects; peri-conceptional
Mesh:
Substances:
Year: 2020 PMID: 33209187 PMCID: PMC7648467 DOI: 10.11604/pamj.2020.37.60.22848
Source DB: PubMed Journal: Pan Afr Med J
Figure 1flowchart of recruitment of study respondents
socio-demographic characteristics of women of childbearing age in Benue Nigeria-2016
| Socio-demographic Characteristics n=581 | Frequency (%) |
|---|---|
| 15-19 | 37 (6.3) |
| 20-24 | 195 (33.3) |
| 25-29 | 167 (28.5) |
| 30-34 | 102(17.4) |
| 35-39 | 37(6.3) |
| 40-44 | 30(5.1) |
| 45-49 | 18(3.1) |
| Etulo | 7(1.2) |
| Igede | 27(4.6) |
| Others | 90(15.4) |
| Idoma | 170(29.0) |
| Tiv | 292(49.8) |
| Single | 291(49.7) |
| Married | 295(50.3) |
| Educated | 539(91.9) |
| Uneducated | 47(8.0) |
| Unemployed | 309(52.7) |
| Employed | 277(47.3) |
| ≤1 | 373(63.6) |
| ≥2 | 213(36.4) |
| ≤66 | 96(16.4) |
| 67-131 | 83(14.2) |
| 132-226 | 45(7.7) |
| 227-325 | 19(3.2) |
| 326-489 | 7(1.2) |
| ≥490 | 13(2.2) |
univariate analysis of outcome variables of folic acid awareness and use among women of childbearing age, Benue State, Nigeria-2016
| Variables | Frequency (%) |
|---|---|
| Yes | 281 (47.9) |
| No | 305 (52.1) |
| Yes | 178(30.4) |
| No | 408(69.6) |
| Goiter | 1(0.2) |
| Blindness | 2(0.3) |
| Arthritis | 9(1.5) |
| Weakness of the bone/teeth | 40(6.8) |
| Anaemia | 54(9.2) |
| *Birth defect/neural tube defect | 152(25.9) |
| I don’t know | 328(55.9) |
| Yes | 221(37.7) |
| No | 365(62.3) |
| Within First Trimester | 4(1.8) |
| Before Pregnancy | 61(27.6) |
| After First Trimester | 96(43.3) |
| Can’t Remember | 60(27.1) |
| Friends/Relatives | 22(7.8) |
| Media | 42(14.9) |
| Healthcare Professionals | 180(64.1) |
| Can’t Remember | 37(13.2) |
Figure 2reasons for lack of folic acid use among women of childbearing age in Benue State, 2016
bivariate analysis of factors associated with low folic acid use among women of childbearing age, Benue State, 2016
| Variable | Use of Folic acid (Frequency) | Odds Ratio (95% CI) | |
|---|---|---|---|
| Yes | No | ||
| Yes | 172 | 109 | 6.0 (3.9-8.8) |
| No | 49 | 256 | |
| Single | 99 | 298 | 1.3 (0.98-1.9) |
| Married | 122 | 75 | |
| Educated | 196 | 290 | 2.0 (1.2-3.3) |
| Uneducated | 25 | 75 | |
| Employed | 119 | 158 | 1.6 (1.1-2.2) |
| Unemployed | 102 | 207 | |
| ≤1 | 175 | 198 | 1.1 (0.8-1.6) |
| ≥2 | 106 | 107 | |
multivariable logistic regression of factors associated with low folic acid use among women of childbearing age, Benue State, 2016
| Variable | Use of Folic acid (Frequency) | Adjusted Odds Ratio (95% CI) | |
|---|---|---|---|
| Yes | No | ||
| Yes | 172 | 109 | 7.9 (5.3-11.7) |
| No | 49 | 256 | |
| Educated | 196 | 290 | 1.9 (0.9-4.3) |
| Uneducated | 25 | 75 | |
| Employed | 119 | 158 | 1.4 (0.9-2.0) |
| Unemployed | 102 | 207 | |