| Literature DB >> 34154557 |
Mingming Cui1, Xiao-Lin Lu1, Yan-Yu Lyu1, Fang Wang1, Xiao-Lu Xie1, Xi-Yue Cheng1, Ting Zhang2.
Abstract
BACKGROUND: The prevalence of neural tube defects (NTDs) in China declined during 2000-2017 with periconceptional folic acid (FA) supplementation, which is effective in reducing the risk of birth defects. We aimed to assess the knowledge and actual use of FA among Chinese pregnant women and to explore factors associated with FA use before pregnancy.Entities:
Keywords: Folic acid; Intake; Knowledge; Neural tube defects; Pregnancy
Year: 2021 PMID: 34154557 PMCID: PMC8218380 DOI: 10.1186/s12884-021-03893-4
Source DB: PubMed Journal: BMC Pregnancy Childbirth ISSN: 1471-2393 Impact factor: 3.007
Awareness, knowledge, and use of folic acid (FA) supplements among pregnant women in China
| N(428) | % | |
|---|---|---|
| Yes | 351 | 82.0 |
| No | 77 | 18.0 |
| Yes | 325 | 76.0 |
| No | 103 | 24.0 |
| Yes | 282 | 65.9 |
| No | 146 | 34.1 |
| Yes | 407 | 95.1 |
| No | 21 | 4.9 |
| Before pregnancy | 198 | 46.3 |
| After pregnancy | 209 | 48.8 |
| Not taking folic acid | 21 | 4.9 |
| Before pregnancy | 165 | 50.8 |
| After pregnancy | 152 | 46.8 |
| No taking folic acid | 8 | 2.4 |
| Three months before pregnancy | 123 | 62.1 |
| One months before pregnancy | 75 | 37.9 |
| Purchase | 350 | 86.0 |
| Free of charge | 57 | 14.0 |
| 400 μg | 361 | 88.7 |
| Others | 46 | 11.3 |
| Doctor / General practitioner counselling | 207 | 58.9 |
| Relatives/friends | 177 | 50.4 |
| The internet | 92 | 26.2 |
| Newspaper/magazine/books | 51 | 14.5 |
| TV/Radio/WeChat | 19 | 5.4 |
| School for pregnant women | 11 | 3.1 |
| Else | 6 | 1.7 |
aKnowledge about folic acid: Includes both knowing that folic acid prevents neural tube defects (NTDs) and knowing the correct time to take folic acid
bSources of information on folic acid: Three response options
Association of knowledge about FA with FA supplementation before pregnancy among pregnant women
| Variable | Survey sample | Knowledge about FA | FA intake before pregnancy | ||||
|---|---|---|---|---|---|---|---|
| N(428) | N(282) % | N(198) % | |||||
| < 25 | 77 | 44 | 57.1 | 0.194 | 29 | 0.078 | |
| 25–34 | 301 | 205 | 68.1 | 140 | |||
| ≥ 35 | 50 | 33 | 66.0 | 29 | |||
| Local residents | 259 | 189 | 73.0 | 0.000** | 138 | 53.3 | 0.000** |
| Immigrants from rural | 169 | 93 | 55.0 | 60 | 35.5 | ||
| ≤ 12 | 63 | 44 | 69.8 | 0.474 | 33 | 52.4 | 0.291 |
| ≥ 13 | 365 | 238 | 65.2 | 165 | 45.2 | ||
| Primary/Secondary | 145 | 75 | 51.7 | 0.000** | 52 | 35.9 | 0.005* |
| College | 100 | 67 | 67.0 | 48 | 48.0 | ||
| University | 183 | 140 | 76.5 | 98 | 53.6 | ||
| Employed | 300 | 209 | 69.7 | 0.012* | 154 | 51.3 | 0.001* |
| homemaker | 128 | 73 | 57.0 | 54 | 42.2 | ||
| Southern | 215 | 126 | 58.6 | 0.001* | 100 | 46.5 | 0.917 |
| Northern | 213 | 156 | 73.2 | 98 | 46.0 | ||
| Yes | 234 | 172 | 73.5 | 0.000** | 153 | 65.4 | 0.000** |
| No | 194 | 110 | 56.7 | 45 | 23.2 | ||
| primigravidas | 236 | 166 | 70.3 | 0.031* | 99 | 42.0 | 0.047* |
| multigravidas | 192 | 116 | 60.4 | 99 | 51.6 | ||
| nulliparous | 279 | 195 | 69.9 | 0.017* | 129 | 46.2 | 0.989 |
| multiparous | 149 | 87 | 58.4 | 69 | 46.3 | ||
| Yes | 90 | 59 | 65.6 | 0.940 | 48 | 53.3 | 0.130 |
| No | 338 | 223 | 66.0 | 150 | 44.4 | ||
| Yes | 109 | 69 | 63.3 | 0.510 | 59 | 54.1 | 0.056 |
| No | 319 | 213 | 66.8 | 139 | 43.6 | ||
| Yes | 282 | - | 143 | 50.7 | 0.010* | ||
| No | 146 | - | 55 | 37.7 | |||
*P < 0.05, **P < 0.001
aNFPHEP: National Free Preconception Health Examination Project
Multivariable analysis of folic acid (FA) knowledge and FA supplementation before pregnancy among pregnant women
| Education1(college) | 1.60 | 0.92–2.77 | 0.093 |
| Education2(university) | 2.37 | 1.45–3.88 | 0.001* |
| Gravidity | 1.54 | 1.01–2.36 | 0.049* |
| Planned pregancy | 1.99 | 1.30–3.04 | 0.002* |
| District | 1.81 | 1.18–2.77 | 0.006* |
| Occupational status | 1.94 | 1.21–3.11 | 0.006* |
| Planned pregancy | 6.18 | 4.01–9.53 | 0.000** |
*P < 0.05, **P < 0.001
Abbreviations: OR odds ratio. CI confidence interval
Variables included in the multivariable logistic regression analysis: education 1 (college vs. primary/secondary school), education 2 (university vs. primary/secondary school), gravidity (primigravida vs. multigravida), planned pregnancy (planned vs. unplanned), district (north vs. south), and occupation (employed vs. homemaker)