Evidence map›Paper›PMID 27136584›Full record

ArticleNutrients2016

Maternal Dietary Patterns and Fetal Growth: A Large Prospective Cohort Study in China.

Min-Shan Lu, Qiao-Zhu Chen, Jian-Rong He, Xue-Ling Wei, Jin-Hua Lu, Sheng-Hui Li, Xing-Xuan Wen, Fan-Fan Chan, Nian-Nian Chen, Lan Qiu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.

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  8. Symptom clusters and predominant symptoms in lymphoma survivorship: a cross-sectional study using trend analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 1 institution in 1 country.

Min-Shan LuDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Junsui Road, Tianhe District, Guangzhou 510623, China. biglms@126.com.
Qiao-Zhu ChenDepartment of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Junsui Road, Tianhe District, Guangzhou 510623, China. bigcqz@163.com.
Jian-Rong HeDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Junsui Road, Tianhe District, Guangzhou 510623, China. Hjr0703@163.com.
Xue-Ling WeiDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Junsui Road, Tianhe District, Guangzhou 510623, China. xiaoshuierde@163.com.
Jin-Hua LuDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Junsui Road, Tianhe District, Guangzhou 510623, China. lujinhua10@gmail.com.
Sheng-Hui LiDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Junsui Road, Tianhe District, Guangzhou 510623, China. lishenghui1005@gmail.com.
Xing-Xuan WenDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Junsui Road, Tianhe District, Guangzhou 510623, China. wen.xing.xuan@163.com.
Fan-Fan ChanDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Junsui Road, Tianhe District, Guangzhou 510623, China. bigcsandy@hotmail.com.
Nian-Nian ChenDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Junsui Road, Tianhe District, Guangzhou 510623, China. cnnfezx@163.com.
Lan QiuDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Junsui Road, Tianhe District, Guangzhou 510623, China. mewmewprincess@hotmail.com.
Wei-Bi MaiDepartment of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Junsui Road, Tianhe District, Guangzhou 510623, China. bigmwb@163.com.
Rui-Fang ZhangDepartment of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Junsui Road, Tianhe District, Guangzhou 510623, China. bigzsf@163.com.
Cui-Yue HuDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Junsui Road, Tianhe District, Guangzhou 510623, China. bighcy@163.com.
Hui-Min XiaDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Junsui Road, Tianhe District, Guangzhou 510623, China. qxiu0161@163.com.
Xiu QiuDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Junsui Road, Tianhe District, Guangzhou 510623, China. huimin.xia876001@gmail.com.
Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There was limited evidence revealing the association of Chinese maternal dietary patterns with fetal growth. We aimed to examine the relationship of maternal dietary patterns during pregnancy to neonatal birth weight and birth weight for gestational age in a Chinese population. A total of 6954 mother-child pairs were included from the Born in Guangzhou Cohort Study. Maternal diet during pregnancy was assessed using a self-administered food frequency questionnaire. Cluster analysis was used to identify dietary patterns. The following six dietary patterns were identified: "Cereals, eggs, and Cantonese soups" (n 1026, 14.8%), "Dairy" (n 1020, 14.7%), "Fruits, nuts, and Cantonese desserts" (n 799, 11.5%), "Meats" (n 1066, 15.3%), "Vegetables" (n 1383, 19.9%), and "Varied" (n 1224, 17.6%). The mean neonatal birth weight Z scores of women in the above patterns were 0.02, 0.07, 0.20, 0.01, 0.06, and 0.14, respectively. Women in the "Fruits, nuts, and Cantonese desserts" and "Varied" groups had significantly heavier infants compared with those in the "Cereals, eggs, and Cantonese soups" group. Compared with women in the "Cereals, eggs, and Cantonese soups" group, those in the "Varied" group had marginally significantly lower odds of having a small-for-gestational age (SGA) infant after adjustment for other confounders (OR 0.77, 95% CI 0.57, 1.04, p = 0.08). These findings suggest that compared to a traditional Cantonese diet high in cereals, eggs, and Cantonese soups, a diet high in fruits, nuts, and Cantonese desserts might be associated with a higher birth weight, while a varied diet might be associated with a greater birth weight and also a decreased risk of having a SGA baby.

Indexed as

DietDiet SurveysFetal DevelopmentMaternal Nutritional Physiological PhenomenaAdultAsian PeopleChinaCohort StudiesFeeding BehaviorFemaleHumansInfant, NewbornPregnancyChinacluster analysisdietary patternsfetal growthprospective studies

Identifiers

PMID27136584
PMCPMC4882670
OpenAlexW2342915009

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.