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      Association between Maternal Weight Indicators and Iron Deficiency Anemia during Pregnancy: A Cohort Study Translated title: 孕妇体重与孕期缺铁性贫血的相关性研究:基于一项队列研究的结果

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          Abstract

          Background:

          The effect of maternal weights on the risk of iron deficiency anemia (IDA) during pregnancy remains unclear. The study aimed to investigate the association between maternal weight indicators and IDA during pregnancy.

          Methods:

          We conducted a cohort study to examine the association between maternal weight indicators, including prepregnancy body mass index and the rate of gestational weight gain (GWG), and the risk of IDA among Chinese pregnant women. Data about new-onset IDA at different trimesters from a national cross-sectional survey were collected; information regarding baseline variables and rate of GWG from women participating in the survey were retrospectively collected. Tested IDA and reported IDA were documented. Multilevel logistic regression to examine the association between maternal weight indicators and the risk of IDA after adjusting for potential confounders was conducted.

          Results:

          This study enrolled 11,782 pregnant women from 24 hospitals from September 19, 2016, to November 20, 2016. Among those, 1515 (12.9%) IDA events were diagnosed through test (test IDA); 3915 (33.3%) were identified through test and patient reporting (composite IDA). After adjusting for confounders and cluster effect of hospitals, underweight pregnant women, compared with normal women, were associated with higher risk of test IDA (adjusted odds ratio [ aOR]: 1.35, 95% confidence interval [ CI]: 1.17–1.57 and composite IDA ( aOR: 1.35, 95% CI: 1.21–1.51); on the contrary, overweight and obese women had lower risk of test IDA ( aOR: 0.68, 95% CI: 0.54–0.86 overweight; aOR: 0.30, 95% CI: 0.13–0.69 obese) and composite IDA ( aOR: 0.77, 95% CI: 0.67–0.90 overweight; aOR: 0.34, 95% CI: 0.21–0.55 obese). The higher rate of GWG was associated with higher risk of IDA (test aOR: 1.86 95% CI: 1.26–2.76; composite aOR: 1.54, 95% CI: 1.16–2.03).

          Conclusions:

          Pregnant women who are underweight before pregnancy and who have faster GWG are more likely to develop IDA. Enforced weight control during pregnancy and use of iron supplements, particularly among underweight women, may be warranted.

          摘要

          背景:

          孕妇体重对孕期缺铁性贫血的影响仍然是不清楚的,本文旨在调查孕妇体重与孕期缺铁性贫血的相关性。

          方法:

          我们在中国实施了一项队列研究来评估孕妇体重与孕期缺铁性贫血的相关性,孕妇体重包括孕前体重指数和孕期体重增长速度两个指标。其中,不同孕期缺铁性贫血的诊断数据来自一项全国性的横断面研究,我们同时考察了经实验室诊断的缺铁性贫血和孕妇自报的缺铁性贫血。此外,我们回顾性收集了相关基线信息(孕前体重指数)和孕期体重增长速度。我们采用多水平logistic模型来评估孕妇体重与孕期缺铁性贫血的相关性并控制潜在混杂因素的影响。

          结果:

          从2016年9月19日到2016年11月20日,我们从中国24家医院总共纳入11,782例孕妇。其中,1515 (12.9%)例发生经实验室诊断的缺铁性贫血,3915 (33.3%)发生复合缺铁性贫血(经实验室诊断和孕妇自报任意一种情况)。在调整了混杂和医院间的聚集效应后,我们发现:孕前低体重孕妇,相比于孕前体重正常孕妇,有更高的缺铁性贫血风险(实验室诊断缺铁性贫血: aOR:1.35, 95% CI :1.17-1.57 ;复合缺铁性贫血: aOR: 1.35, 95% CI :1.21-1.51);相反,孕前超重和肥胖的孕妇有更低的经实验室诊断的缺铁性贫血风险(超重: aOR: 0.68, 95% CI: 0.54-0.86; 肥胖: aOR 0.30, 95% CI 0.13-0.69)和复合缺铁性贫血风险(超重: aOR: 0.77, 95% CI: 0.67-0.90; 肥胖: aOR: 0.34, 95% CI:0.21-0.55)。此外,更快的孕期体重增长速度也与缺铁性贫血的风险呈正相关(实验室诊断缺铁性贫血: aOR: 1.86, 95% CI: 1.26-2.76; 复合缺铁性贫血: aOR: 1.54, 95% CI :1.16-2.03)。

          结论:

          孕妇孕前低体重和孕期体重增长速度过快更容易发生孕期缺铁性贫血,对上述人群应加强孕期体重管理和补充铁元素。

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          Most cited references17

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          Adiposity in women and children from transition countries predicts decreased iron absorption, iron deficiency and a reduced response to iron fortification.

          Overweight is increasing in transition countries, while iron deficiency remains common. In industrialized countries, greater adiposity increases risk of iron deficiency. Higher hepcidin levels in obesity may reduce dietary iron absorption. Therefore, we investigated the association between body mass index (BMI) and iron absorption, iron status and the response to iron fortification in populations from three transition countries (Thailand, Morocco and India). In Thai women (n=92), we examined the relationship between BMI and iron absorption from a reference meal containing approximately 4 mg of isotopically labeled fortification iron. We analyzed data from baseline (n=1688) and intervention (n=727) studies in children in Morocco and India to look for associations between BMI Z-scores and baseline hemoglobin, serum ferritin and transferrin receptor, whole blood zinc protoporphyrin and body iron stores, and changes in these measures after provision of iron. In the Thai women, 20% were iron deficient and 22% were overweight. Independent of iron status, a higher BMI Z-score was associated with decreased iron absorption (P=0.030). In the Indian and Moroccan children, 42% were iron deficient and 6.3% were overweight. A higher BMI Z-score predicted poorer iron status at baseline (P<0.001) and less improvement in iron status during the interventions (P<0.001). Adiposity in young women predicts lower iron absorption, and pediatric adiposity predicts iron deficiency and a reduced response to iron fortification. These data suggest the current surge in overweight in transition countries may impair efforts to control iron deficiency in these target groups. Interactions of the 'double burden' of malnutrition during the nutrition transition may have adverse consequences.
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            Associations of maternal pre-pregnancy obesity and excess pregnancy weight gains with adverse pregnancy outcomes and length of hospital stay

            Background It is relatively less known whether pre-pregnancy obesity and excess gestational weight gain (GWG) are associated with caesarean delivery, pregnancy complications, preterm birth, birth and placenta weights and increased length of postnatal hospital stay. Methods We used a population-based cohort of 6632 women who gave birth in Brisbane, Australia, between 1981 and 1983. The independent associations of pre-pregnancy obesity, GWG and institute of medicine (IOM) categories of combined pre-pregnancy BMI and GWG with outcomes were examined using multivariable regression (for continuous outcomes) and multivariable multinomial regression (for categorical outcomes) models. Results We found women who were obese prior to pregnancy and women who gained excess weight during pregnancy were at greater risk for a pregnancy complications (OR: 2.10; 1.74, 2.54; age adjusted model), caesarean section (OR 1.29; 1.09, 1.54), higher birth weight difference (206.45 gm; 178.82, 234.08) and greater placental weight difference (41.16 gm; 33.83, 48.49) and longer length of hospital stay. We also found that mothers who gained inadequate weight or were underweight before pregnancy were at greater risk of preterm birth (2.27; 1.71, 3.00), lower risk of pregnancy complications (0.58; 0.44, 0.77) and had lower birth (-190.63;-221.05,-160.20) and placental (-37.16; -45.23,-29.09) weights. Results indicate that all associations remain consistent after adjustment for a range of potential confounding factors with the exception of the association between pre-pregnancy obesity and hospital stay. Conclusions Pre-pregnancy obesity or excessive GWG are associated with greater risk of pregnancy complications, caesarean delivery and greater birth and placenta weight. Excess GWG is associated with a longer stay in hospital after delivery, independent of pre-pregnancy BMI, pregnancy complications and caesarean delivery. In addition to pre-pregnancy obesity, it is vital that clinical practice considers excess GWG as another indicator of adverse pregnancy outcomes.
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              Trends of under- and overweight among rural and urban poor women indicate the double burden of malnutrition in Bangladesh.

              Although undernutrition and communicable diseases dominate the current disease burden in resource-poor countries, the prevalence of diet related chronic diseases is increasing. This paper explores current trends of under- and overweight in Bangladeshi women. Nationally representative data on reproductive age women from rural Bangladesh (n = 242,433) and selected urban poor areas (n = 39,749) collected by the Nutritional Surveillance Project during 2000-2004 were analyzed. While the prevalence of chronic energy deficiency [CED, body mass index (BMI) or = 25 kg/m(2), P < 0.001). In addition, 9.8% of urban poor and 5.5% of rural women were found to be 'at risk of overweight' (BMI 23.0-<25 kg/m(2)). From 2000 to 2004, prevalence of CED decreased (urban poor: 33.8-29.3%; rural: 42.6-36.6%), while prevalence of overweight increased (urban poor: 6.8-9.1%; rural: 2.8-5.5%). The risk of being overweight was higher among women who were older and of higher socioeconomic status. Rural women with at least 14 years of education had a 8.1-fold increased risk of being overweight compared with non-educated women [95% confidence intervals (CI): 6.6-8.7]. Women living in houses of at least 1000 sq ft (93 m(2)) were 3.7 times more likely to be overweight compared with women living in <250 sq ft (23 m(2)) houses (95% CI: 3.2-4.3). The recent increase in overweight prevalence among both urban poor and rural women, along with high prevalence of CED, indicates the emergence of a double burden of malnutrition in Bangladesh.
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                Author and article information

                Journal
                Chin Med J (Engl)
                Chin. Med. J
                CMJ
                Chinese Medical Journal
                Medknow Publications & Media Pvt Ltd (India )
                0366-6999
                05 November 2018
                : 131
                : 21
                : 2566-2574
                Affiliations
                [1 ]Chinese Evidence-Based Medicine Center and CREAT Group, West China Hospital, Sichuan University, Chengdu, Sichuan 610000, China
                [2 ]Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610000, China
                [3 ]School of Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610000, China
                Author notes
                Address for correspondence: Prof. Xing-Hui Liu, Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610000, China E-Mail: xinghuiliu@ 123456163.com
                Article
                CMJ-131-2566
                10.4103/0366-6999.244109
                6213850
                30381590
                507d3f8a-4386-472e-897d-0d2c337c585d
                Copyright: © 2018 Chinese Medical Journal

                This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.

                History
                : 09 July 2018
                Categories
                Original Article

                gestational weight gain,iron deficiency anemia,prepregnancy body mass index

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