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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Risk factors for small-for-gestational-age and preterm births among 19,269 Tanzanian newborns
|
|---|---|
| Published in |
BMC Pregnancy and Childbirth, May 2016
|
| DOI | 10.1186/s12884-016-0900-5 |
| Pubmed ID | |
| Authors |
Alfa Muhihi, Christopher R. Sudfeld, Emily R. Smith, Ramadhani A. Noor, Salum Mshamu, Christina Briegleb, Mohamed Bakari, Honorati Masanja, Wafaie Fawzi, Grace Jean-Yee Chan |
| Abstract |
Few studies have differentiated risk factors for term-small for gestational age (SGA), preterm-appropriate for gestational age (AGA), and preterm-SGA, despite evidence of varying risk of child mortality and poor developmental outcomes. We analyzed birth outcome data from singleton infants, who were enrolled in a large randomized, double-blind, placebo-controlled trial of neonatal vitamin A supplementation conducted in Tanzania. SGA was defined as birth weight <10th percentile for gestation age and sex using INTERGROWTH standards and preterm birth as delivery at <37 complete weeks of gestation. Risk factors for term-SGA, preterm-AGA, and preterm-SGA were examined independently using log-binomial regression. Among 19,269 singleton Tanzanian newborns included in this analysis, 68.3 % were term-AGA, 15.8 % term-SGA, 15.5 % preterm-AGA, and 0.3 % preterm-SGA. In multivariate analyses, significant risk factors for term-SGA included maternal age <20 years, starting antenatal care (ANC) in the 3(rd) trimester, short maternal stature, being firstborn, and male sex (all p < 0.05). Independent risk factors for preterm-AGA were maternal age <25 years, short maternal stature, firstborns, and decreased wealth (all p < 0.05). In addition, receiving ANC services in the 1(st) trimester significantly reduced the risk of preterm-AGA (p = 0.01). Significant risk factors for preterm-SGA included maternal age >30 years, being firstborn, and short maternal stature which appeared to carry a particularly strong risk (all p < 0.05). Over 30 % of newborns in this large urban and rural cohort of Tanzanian newborns were born preterm and/or SGA. Interventions to promote early attendance to ANC services, reduce unintended young pregnancies, increased maternal height, and reduce poverty may significantly decrease the burden of SGA and preterm birth in sub-Saharan Africa. Australian New Zealand Clinical Trials Registry (ANZCTR) - ACTRN12610000636055 , registered on 3(rd) August 2010. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Tanzania, United Republic of | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 249 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 249 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 42 | 17% |
| Student > Bachelor | 27 | 11% |
| Student > Ph. D. Student | 26 | 10% |
| Student > Postgraduate | 21 | 8% |
| Researcher | 19 | 8% |
| Other | 37 | 15% |
| Unknown | 77 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 67 | 27% |
| Nursing and Health Professions | 38 | 15% |
| Social Sciences | 10 | 4% |
| Agricultural and Biological Sciences | 8 | 3% |
| Psychology | 7 | 3% |
| Other | 27 | 11% |
| Unknown | 92 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 August 2017.
All research outputs
#14,711,344
of 25,551,063 outputs
Outputs from BMC Pregnancy and Childbirth
#2,653
of 4,816 outputs
Outputs of similar age
#172,379
of 342,677 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#38
of 60 outputs
Altmetric has tracked 25,551,063 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,816 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 342,677 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.