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Attention Score in Context
| Title |
Maternal tea consumption and the risk of preterm delivery in urban China: a birth cohort study
|
|---|---|
| Published in |
BMC Public Health, May 2016
|
| DOI | 10.1186/s12889-016-3100-3 |
| Pubmed ID | |
| Authors |
Lei Huang, Catherine Lerro, Tao Yang, Jing Li, Jie Qiu, Weitao Qiu, Xiaochun He, Hongmei Cui, Ling Lv, Ruifeng Xu, Xiaoying Xu, Huang, Qing Liu, Yawei Zhang |
| Abstract |
Studies investigating the relationship between maternal tea drinking and risk of preterm birth have reached inconsistent results. The 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. Drinking 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). Despite 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 9 | 16% |
| Researcher | 8 | 14% |
| Student > Doctoral Student | 6 | 10% |
| Student > Master | 5 | 9% |
| Student > Postgraduate | 4 | 7% |
| Other | 8 | 14% |
| Unknown | 18 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 29% |
| Social Sciences | 4 | 7% |
| Agricultural and Biological Sciences | 4 | 7% |
| Nursing and Health Professions | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 19 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 September 2016.
All research outputs
#18,462,696
of 22,876,619 outputs
Outputs from BMC Public Health
#12,899
of 14,917 outputs
Outputs of similar age
#254,573
of 338,929 outputs
Outputs of similar age from BMC Public Health
#176
of 191 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,917 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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