| Literature DB >> 26818747 |
Chun Yang1, Jing Chen1, Zhen Liu1, Chunfeng Yun1, Jianhua Piao1, Xiaoguang Yang2.
Abstract
BACKGROUND: Vitamin A plays an important role in the periods of rapid cellular growth and differentiation, especially during pregnancy, which is supplied by the mother to the fetus. The aim of this study is to assess the prevalence and potential influence factors of prenatal VAD of Chinese pregnant women.Entities:
Mesh:
Substances:
Year: 2016 PMID: 26818747 PMCID: PMC4729160 DOI: 10.1186/s12937-016-0131-7
Source DB: PubMed Journal: Nutr J ISSN: 1475-2891 Impact factor: 3.271
Comparison of characteristics of Chinese pregnant women
| Variable | N | Mean(95 % CI) μmol/L | F |
|
|---|---|---|---|---|
| Age | 6.78 | 0.03 | ||
| 15–25 | 490 | 1.68(1.63–1.74) | ||
| 25–35 | 663 | 1.65(1.47– 1.84) | ||
| 35–45 | 56 | 1.57(1.51 –1.62)* | ||
| Region strata | 6.62 | 0.08 | ||
| Large cities | 287 | 1.63(1.56 –1.71) | ||
| Small to medium cities | 360 | 1.67(1.60– 1.74) | ||
| General rural areas | 291 | 1.65(1.57–1.73) | ||
| Poor rural areas | 271 | 1.59(1.49–1.68) | ||
| College or university | 6.24 | 0.01 | ||
| No | 832 | 1.60(1.56 –1.65) | ||
| Yes | 377 | 1.70(1.63–1.76) | ||
| Income | 12.63 | 0.01 | ||
| < 10,000 | 199 | 1.58(1.52–1.63)* | ||
| 10,000–20,000 | 339 | 1.63(1.55– 1.71) | ||
| 20,000–30,000 | 486 | 1.64(1.54 –1.75) | ||
| > =30,000 | 185 | 1.77(1.68–1.86)* | ||
| Drinkers | 21.55 | 0.00 | ||
| No | 1071 | 1.65(1.61–1.69) | ||
| Yes | 138 | 1.52(1.40–1.64) | ||
| Smoking | 5.92 | 0.00 | ||
| Non-smoker without passive smoking | 553 | 1.67(1.61–1.72) | ||
| Non-smoker with passive smoking | 625 | 1.62(1.57–1.67) | ||
| Smokers | 31 | 1.26(0.98–1.53)* | ||
| Gestational age | 25.47 | 0.00 | ||
| First trimester | 471 | 1.74(1.68–1.80)* | ||
| Second trimester | 292 | 1.64(1.56–1.71) | ||
| Third trimester | 446 | 1.52(1.46–1.58)* | ||
| Parity | 7.66 | 0.02 | ||
| 0 | 877 | 1.70(1.62–1.79) | ||
| 1 | 299 | 1.62(1.58–1.66) | ||
| 2+ | 33 | 1.36(1.14–1.59)* | ||
| Anemia | 10.28 | 0.00 | ||
| No | 916 | 1.67(1.63–1.71) | ||
| Yes | 293 | 1.52(1.45–1.60) | ||
| Vitamin A supplement | 8.67 | 0.00 | ||
| No | 1104 | 1.62(1.58–1.66) | ||
| Yes | 105 | 1.80(1.67–1.91) |
*compared other group p < 0.05 was significant difference
Linear regression output on the predictors of serum retinol concentrations (μmol/L) among pregnant women in China
| Independent variable | Unstandardized coefficient | t-statistic |
|
|---|---|---|---|
| Constant | 1.61 | ||
| age (years) | −0.01 | −2.34 | 0.02 |
| Gestational age (months) | −0.08 | −3.68 | 0.00 |
| Region strataa | −0.05 | −2.42 | 0.02 |
| Anemia(0 = yes 1 = no) | −0.11 | −2.54 | 0.01 |
| Income+ | 0.05 | 2.53 | 0.01 |
a:1 = large cities 2 = small to medium cities 3 = general rural areas 4 = poor rural areas
+:1:<10,000;2:10,000–20,000;3:20,000–30,000;4:≥30,000
Vitamin A deficiency and potential influence factors among pregnant women in China
| Variable | VAD+ | VAD– | Crude OR (95 % CI) | Adjusted OR (95 % CI) |
|---|---|---|---|---|
| Region strata | ||||
| Large cities | 11 | 276 | 1 | 1 |
| Small to medium cities | 13 | 347 | 0. 62(0.24–1.62) | – |
| General rural areas | 7 | 284 | 0.94(0.42–2.13) | – |
| Poor rural areas | 33 | 238 | 3.48(1.72–7.03)a | 4.73(2.67–8.41)a |
| College or university | ||||
| No | 52 | 780 | 2.03(1.07–3.85)a | 3.17 (1.51–6.67)a |
| Yes | 12 | 365 | 1 | 1 |
| Income | ||||
| < 10,000 | 14 | 185 | 4.60(1.30–16.24)a | 4.91 (1.31–18.46)a |
| 10,000–20,000 | 22 | 317 | 4.21(1.24–14.26)a | 4.33 (1.18–15.90)a |
| 20,000–30,000 | 25 | 461 | 3.29(0.98–11.03)a | 3.64 (1.01–13.16)a |
| > =30,000 | 3 | 182 | 1 | 1 |
| Drinking | ||||
| Yes | 20 | 118 | 4.00(2.26–6.94)a | 3.10 (1.65–5.81)a |
| No | 44 | 1027 | 1 | 1 |
| Smoking | ||||
| Non-smoker without passive smoking | 24 | 529 | 1 | 1 |
| Non-smoker with passive smoking | 31 | 594 | 1.15(0.67–1.99) | – |
| Smokers | 9 | 22 | 9.02(3.75–21.67)a | 5.68 (2.23–14.49)a |
| Gestational age | ||||
| First trimester | 10 | 461 | 1 | 1 |
| Second trimester | 18 | 274 | 3.03(1.38–6.66)a | 2.40(1.05–5.46)a |
| Third trimester | 36 | 410 | 4.05(1.98–8.26)a | 2.82(1.34–5.93)a |
aStatistically significant at 0.05 level of significance