Journal of Peking University (Health Sciences) ›› 2023, Vol. 55 ›› Issue (4): 600-605. doi: 10.19723/j.issn.1671-167X.2023.04.005

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Analysis on the iron status and associated factors during the first trimester of pregnancy

Yong-wei LIN1,Ya-lin ZHOU1,Run-long ZHAO1,Ya-jun XU1,2,*(),Yan-ping LIU3,*()   

  1. 1. Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China
    2. Laboratory of Toxicological Research and Risk Assessment for Food Safety, Beijing 100191, China
    3. Department of Clinical Nutrition, Peking Union Medical College Hospital, China Academic Medical Science and Peking Union Medical College, Beijing 100730, China
  • Received:2021-02-18 Online:2023-08-18 Published:2023-08-03
  • Contact: Ya-jun XU,Yan-ping LIU E-mail:xuyajun@bjmu.edu.cn;liuyp1227@vip.sina.com
  • Supported by:
    Chinese Nutrition Society-Zhendong National Physical Fitness and Health Research Fund(CNS-ZD2020-163)

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Abstract:

Objective: To investigate the impact of dietary and underlying factors on the iron status of women in early pregnancy and to provide evidence for preventing iron deficiency and iron deficiency anemia, thereby reducing the incidence of associated adverse outcomes. Methods: From November to December 2018, women in the first trimester of pregnancy (< 12 weeks gestation) who established prenatal records at the Shunyi District Maternal and Child Health Hospital, Beijing, were enrolled in this study, in which 388 participants were accessed for data including demographic characteristics, anthropometric measurements, parity, biomarkers reflecting iron status, and food-frequency questionnaire. SPSS 26.0 were used for statistical analysis. Dietary patterns were extracted using principal component analysis, and factor scores of each dietary pattern were calculated. Two-sided Fisher exact probability test and one-way ANOVA were conducted to access differences in iron status among the groups, and the differences were significant if P < 0.05. Iron deficiency was defined as serum ferritin(SF) < 30 μg/L. To analyze the potential role of dietary factors on iron deficiency during the first trimester, the collected data listed above were adopted as independent factors for the cross-sectional Logistic regression. We used Logistic regression to analyze the potential effects of baseline characteristics and dietary factors on iron status. Results: Among the 388 participants included in the analysis, 121 (32.2%) were iron deficient, in which 107 (27.6%) were iron depletion (ID), 8 (2.1%) were iron deficiency erythropoiesis (IDA), 6(1.5%) were iron deficiency anemia. The mean SF concentration was (50.4±35.3) μg/L. Multiparity(OR=3.9, 95%CI: 1.81-8.42, P=0.001)was a risk factor for iron deficiency during early pregnancy. No significant iron status differences were found among the participants with different educational levels and anthropometric measurements. In contrast, age (OR =0.96, 95%CI: 0.94-0.97, P < 0.001) was a protective factor. For multiparas, taking iron-containing supplements might have a protective effect for iron deficiency (OR=0.27, 95%CI: 0.09-0.83, P=0.022). The balance-diet pattern (OR=0.81, 95%CI: 0.66-1.00, P=0.054) only showed a marginally significant effect. Conclusion: Increasing attention should be paid to the iron status of pregnant multiparas and young pregnant women. For those women of reproductive age with the risk factors listed above, especially for multiparas, iron-containing supplements should be recommended to prevent gestational iron deficiency. The effect of the "balance" dietary pattern on iron status in the first trimester and following requires further research and discussion.

Key words: Iron deficiency, Iron deficiency anemia, Prevalence, Risk factor, Pregnancy

CLC Number: 

  • R153.1

Table 1

Iron status by baseline characteristics(categorical variables)"

Items Normal/%Iron deficiency/%P
Total ID IDE IDA
Age/years 0.235
   20-25 (n=50) 66.0 4.4 34.0 0.0 0.0
   26-30 (n=213) 69.5 16.8 27.7 1.9 0.9
   31-35 (n=102) 71.6 7.5 23.5 2.0 2.9
   36-41 (n=23) 56.6 2.6 30.4 8.7 4.3
Education 0.131
   Middle school (n=34) 73.5 2.3 14.7 5.9 5.9
   High school and secondary school (n=48) 64.5 4.4 31.3 2.1 2.1
   Postsecondary (n=125) 69.6 9.8 30.4 0.0 0.0
   Undergraduate (n=165) 41.5 13.4 26.7 3.0 1.8
   Postgraduate (n=16) 37.4 1.3 31.3 31.3 0.0
Gravidity 0.636
   0-1 (n=166) 72.9 11.6 24.1 1.2 1.8
   2-4 (n=214) 65.4 34.6 30.4 2.8 1.4
   5-7 (n=8) 75.0 0.5 25.0 0.0 0.0
Parity 0.051
   0 (n=224) 73.7 15.2 24.1 0.9 1.3
   ≥1 (n=164) 62.2 16.0 32.3 3.7 1.8
Iron-containing supplement 0.129
   Untaken 65.7 21.1 29.7 2.1 2.5
   Taken 73.8 10.1 24.2 2.0 0.0

Table 2

Iron status by baseline characteristics(continuous variables)"

Items Total(n=388) Normal(n=267) Iron deficiency P
ID (n=107) IDE (n=8) IDA (n=6)
Pre-pregnancy BMI 22.8±3.8 22.8±3.9 22.7±3.5 23.3±2.5 20.0±2.1 0.322
Body fat/% 32.9±6.1 33.1±6.0 32.5±6.3 33.4±5.4 28.3±3.8 0.239
Waist-hip ratio 0.89±0.05 0.89±0.05 0.89±0.06 0.89±0.05 0.84±0.03 0.173
Serum ferritin/(μg/dL) 50.4±35.3 64.6±33.8 20.7±6.2 9.1±3.6 5.2±1.8 < 0.001
Hemoglobin/(g/L) 131.2±10.3 132.4±9.5 130.7±9.2 121.4±7.3 98.0±7.5 < 0.001
Serum iron/(μg/dL) 117.9±38.3 122.4±35.7 116.7±35.8 49.7±11.8 28.0±12.4 < 0.001
TIBC(μg/dL) 325.5±49.7 310.7±42.7 349.0±41.0 397.5±38.4 468.7±17.8 <0.001
TS/% 33.6±12.9 36.2±12.5 30.3±10.1 11.0±3.0 5.2±2.3 < 0.001

Table 3

Factors loaded matrix of dietary patterns (varimax rotation)"

Items Dietary pattern
Balanced High protein and whole grains Refined grains
Red meat 0.62 0.46 0.46
Poultry 1.17 0.14 -0.31
Seafood and aquatic products 0.18 0.69 0.16
Organ 0.61 0.25 -0.20
Egg 0.01 0.17 -0.49
Vegetables 0.82 -0.02 0.31
Fruits 1.03 0.01 0.13
Dairy 1.05 0.23 0.22
Soys 0.14 0.76 -0.20
Refined grains 0.15 0.25 0.75
Whole grains and legumes 0.11 0.76 0.03
Contribution rate/% 17.49 15.82 11.34
Accumulated contributionrate/% 17.49 33.30 44.64

Table 4

Effecting factors for Iron deficiency among first-trimester-pregnant women"

Items OR 95%CI P
Age 0.96 (0.94, 0.97) < 0.001
Balanced dietary pattern 0.81 (0.66, 1.00) 0.054
Multiparity 3.90 (1.81, 8.42) 0.001
Iron containing supplement 1.34 (0.65, 2.77) 0.429
Multiparty × iron containing supplement 0.27 (0.09, 0.83) 0.022
1 Pavord S , Myers B , Robinson S , et al. UK guidelines on the management of iron deficiency in pregnancy[J]. Br J Haematol, 2012, 156 (5): 588- 600.
doi: 10.1111/j.1365-2141.2011.09012.x
2 Bunch K , Roberts N , Knight M , et al. Systematic review to investigate the safety of induction and augmentation of labour among pregnant women with iron-deficiency anaemia[J]. BMJ Open, 2018, 8 (12): e021793.
doi: 10.1136/bmjopen-2018-021793
3 Juul SE , Derman RJ , Auerbach M . Perinatal iron deficiency: Implications for mothers and infants[J]. Neonatology, 2019, 115 (3): 269- 274.
doi: 10.1159/000495978
4 Georgieff MK . Iron deficiency in pregnancy[J]. Am J Obstet Gynecol, 2020, 223 (4): 516- 524.
doi: 10.1016/j.ajog.2020.03.006
5 Dewey KG , Oaks BM . U-shaped curve for risk associated with maternal hemoglobin, iron status, or iron supplementation[J]. Am J Clin Nutr, 2017, 106 (Suppl 6): S1694- S1702.
doi: 10.3945/ajcn.117.156075
6 Kaufer M , Casaneuva E . Relation of pregnancy serum ferritin levels to hemoglobin levels throughout pregnancy[J]. Eur J Clin Nutr, 1990, 44 (10): 709- 715.
7 Shao J , Lou J , Rao R , et al. Maternal serum ferritin concentration is positively associated with newborn iron stores in women with low ferritin status in late pregnancy[J]. J Nutr, 2012, 142 (11): 2004- 2009.
doi: 10.3945/jn.112.162362
8 Yamamoto K , Wang N , Takita M , et al. Iron deficiency anaemia: Its prevalence among women of reproductive age in Shanghai and Tokyo and links to body mass index[J]. Cureus, 2020, 12 (7): e9436.
9 Loy SL , Lim LM , Chan SY , et al. Iron status and risk factors of iron deficiency among pregnant women in Singapore: A cross-sectional study[J]. BMC Public Health, 2019, 19 (1): 397.
doi: 10.1186/s12889-019-6736-y
10 Blanco-Rojo R , Toxqui L , López-Parra AM , et al. Influence of diet, menstruation and genetic factors on iron status: A cross-sectional study in Spanish women of childbearing age[J]. Int J Mol Sci, 2014, 15 (3): 4077- 4087.
doi: 10.3390/ijms15034077
11 Pistollato F , Sumalla Cano S , Elio I , et al. Plant-based and plant-rich diet patterns during gestation: Beneficial effects and possible shortcomings[J]. Adv Nutr, 2015, 6 (5): 581- 591.
doi: 10.3945/an.115.009126
12 Piccoli GB , Clari R , Vigotti FN , et al. Vegan-vegetarian diets in pregnancy: Danger or panacea? A systematic narrative review[J]. BJOG, 2015, 122 (5): 623- 633.
doi: 10.1111/1471-0528.13280
13 中华医学会围产医学分会. 妊娠期铁缺乏和缺铁性贫血诊治指南[J]. 中华围产医学杂志, 2014, 17 (7): 451- 454.
doi: 10.3760/cma.j.issn.1007-9408.2014.07.006
14 中华医学会血液学分会红细胞疾病学组. 铁缺乏症和缺铁性贫血诊治和预防多学科专家共识[J]. 中华医学杂志, 2018, 98 (28): 2233- 2237.
doi: 10.3760/cma.j.issn.0376-2491.2018.28.004
15 Rahmati S , Azami M , Badfar G , et al. The relationship between maternal anemia during pregnancy with preterm birth: A systematic review and meta-analysis[J]. J Matern Fetal Neonatal Med, 2020, 33 (15): 2679- 2689.
doi: 10.1080/14767058.2018.1555811
16 Tan J , He G , Qi Y , et al. Prevalence of anemia and iron deficiency anemia in Chinese pregnant women (iron women): A national cross-sectional survey[J]. BMC Pregnancy Childbirth, 2020, 20 (1): 670.
doi: 10.1186/s12884-020-03359-z
17 中国儿童、孕妇、育龄妇女铁缺乏症流行病学调查协作组. 中国孕妇、育龄妇女铁缺乏症患病率调查[J]. 中华血液学杂志, 2004, 25 (11): 653- 657.
doi: 10.3760/j:issn:0253-2727.2004.11.004
18 W HO . Iron deficiency anemia assessment, prevention, and control[M]. Geneva: World Health Organization, 2001: 17- 21.
19 Mei Z , Cogswell ME , Looker AC , et al. Assessment of iron status in US pregnant women from the National Health and Nutrition Examination Survey (NHANES), 1999-2006[J]. Am J Clin Nutr, 2011, 93 (6): 1312- 1320.
doi: 10.3945/ajcn.110.007195
20 苏畅, 张兵, 王惠君, 等. 1989—2006年中国九省(区)居民谷类食物消费状况及变化趋势[J]. 中华预防医学杂志, 2011, 45 (9): 798- 801.
doi: 10.3760/cma.j.issn.0253-9624.2011.09.007
21 Hurrell R . How to ensure adequate iron absorption from iron-fortified food[J]. Nutr Rev, 2008, 60 (Suppl 7): S7- S15.
22 刘艳华, 宁书芬, 张惠欣. 妊娠期预防性补铁时机的选择对妊娠结局的影响[J]. 中国妇幼保健, 2017, 32 (19): 4685- 4687.
23 Peña-Rosas JP , De-Regil LM , Garcia-Casal MN , et al. Daily oral iron supplementation during pregnancy[J]. Cochrane Database Syst Rev, 2015, (7): CD004736.
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