Evidence map›Paper›PMID 27246202›Full record

ArticleBMC public health2016

Maternal tea consumption and the risk of preterm delivery in urban China: a birth cohort study.

Lei Huang, Catherine Lerro, Tao Yang, Jing Li, Jie Qiu, Weitao Qiu, Xiaochun He, Hongmei Cui, Ling Lv, Ruifeng Xu and 4 more

Abstract readComparative Study
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
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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

14 authors.

Lei HuangGansu Provincial Maternity and Child Care Hospital, 143 North Road Qilihe District, Lanzhou, Gansu Province, 730050, China.
Catherine LerroYale University, School of Public Health, 60 College Street LEPH 440, New haven, CT, 06520, USA.
Tao YangGansu Provincial Maternity and Child Care Hospital, 143 North Road Qilihe District, Lanzhou, Gansu Province, 730050, China.
Jing LiGansu Provincial Maternity and Child Care Hospital, 143 North Road Qilihe District, Lanzhou, Gansu Province, 730050, China.
Jie QiuGansu Provincial Maternity and Child Care Hospital, 143 North Road Qilihe District, Lanzhou, Gansu Province, 730050, China.
Weitao QiuGansu Provincial Maternity and Child Care Hospital, 143 North Road Qilihe District, Lanzhou, Gansu Province, 730050, China.
Xiaochun HeGansu Provincial Maternity and Child Care Hospital, 143 North Road Qilihe District, Lanzhou, Gansu Province, 730050, China.
Hongmei CuiGansu Provincial Maternity and Child Care Hospital, 143 North Road Qilihe District, Lanzhou, Gansu Province, 730050, China.
Ling LvGansu Provincial Maternity and Child Care Hospital, 143 North Road Qilihe District, Lanzhou, Gansu Province, 730050, China.
Ruifeng XuGansu Provincial Maternity and Child Care Hospital, 143 North Road Qilihe District, Lanzhou, Gansu Province, 730050, China.
Xiaoying XuGansu Provincial Maternity and Child Care Hospital, 143 North Road Qilihe District, Lanzhou, Gansu Province, 730050, China.
Huang HuangYale University, School of Public Health, 60 College Street LEPH 440, New haven, CT, 06520, USA.
Qing LiuGansu Provincial Maternity and Child Care Hospital, 143 North Road Qilihe District, Lanzhou, Gansu Province, 730050, China. 2305470816@qq.com.
Yawei ZhangYale University, School of Public Health, 60 College Street LEPH 440, New haven, CT, 06520, USA. yawei.zhang@yale.edu.

Funding

Air pollution and fetal growth in ChinaK02HD070324 · NICHD · YALE UNIVERSITY · PI ZHANG, YAWEI · 2011 to 2015
$582k
NICHD NIH HHS K02 HD070324
6 · The paper itself

Abstract

backgroundStudies investigating the relationship between maternal tea drinking and risk of preterm birth have reached inconsistent results.

methodsThe present study analyzed data from a birth cohort study including 10,179 women who delivered a singleton live birth were conducted in Lanzhou, China between 2010 and 2012.

resultsDrinking tea (OR = 1.36, 95 % CI: 1.09-1.69), and specifically green (OR = 1.42, 95 % CI: 1.08-1.85) or scented tea (OR = 1.61, 95 % CI: 1.04-2.50), was associated with an increased risk of preterm birth. Drinking tea was associated with both moderate preterm (OR = 1.41, 95 % CI: 1.12-1.79) and spontaneous preterm birth (OR = 1.41, 95 % CI: 1.09-1.83). Risk of preterm birth increased with decreasing age of starting tea drinking (<20 years, OR = 1.60, 95 % CI: 1.17-2.20) and increasing duration (p for trend < 0.01). The relationship between tea drinking and preterm birth is modified by both maternal age (p < 0.05) and gestational weight gain (p < 0.05).

conclusionsDespite conflicting findings in the previous literature, we saw a significant association with maternal tea drinking and risk of preterm birth in our cohort. More studies are needed both to confirm this finding and to elucidate the mechanism behind this association.

Indexed as

Maternal AgeMaternal Nutritional Physiological PhenomenaWeight GainAdolescentAdultAge FactorsAsian PeopleChinaCohort StudiesFemaleHumansInfant, NewbornPregnancyPremature BirthRisk FactorsSocioeconomic FactorsTeaBirth cohortChinaPretermTea

Identifiers

PMID27246202
PMCPMC4886392

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LicenceCC BY
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Registered trials

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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.