| Title |
Effect of Modifiable Risk Factors on Preterm Birth: A Population Based-Cohort
|
|---|---|
| Published in |
Maternal and Child Health Journal, August 2016
|
| DOI | 10.1007/s10995-016-2169-8 |
| Pubmed ID | |
| Authors |
Candice S. Lengyel, Shelley Ehrlich, Jay D. Iams, Louis J. Muglia, Emily A. DeFranco |
| Abstract |
Objectives The purpose of this study is to evaluate the prevalence, impact, and interaction of short interpregnancy interval (IPI), pre-pregnancy body mass index (BMI) category, and pregnancy weight gain (PWG) on the rate of preterm birth. Methods This is a population-based retrospective cohort study using vital statistics birth records from 2006 to 2011 in OH, US, analyzing singleton live births to multiparous mothers with recorded IPI (n = 393,441). Preterm birth rate at <37 weeks gestational age was compared between the referent pregnancy (defined as normal pre-pregnancy maternal BMI, IPI of 12-24 months, and Institute of Medicine (IOM) recommended PWG) and those with short or long IPI, abnormal BMI (underweight, overweight, and obese), and high or low PWG (under or exceeding IOM recommendations). Results Only 6 % of the women in this study had a referent pregnancy, with a preterm birth rate of 7.6 % for this group. Short IPIs of <6 and 6-12 months were associated with increased rates of preterm birth rate to 12.9 and 10.4 %, respectively. Low PWG compared to IOM recommendations for pre-pregnancy BMI class was also associated with increased preterm birth rate of 13.2 % for all BMI classes combined. However, the highest rate of preterm birth of 25.2 % occurred in underweight women with short IPI and inadequate weight gain with adjOR 3.44 (95 % CI 2.80, 4.23). The fraction of preterm births observed in this cohort that can be attributed to short IPIs is 5.9 %, long IPIs is 8.3 %, inadequate PWG is 7.5 %, and low pre-pregnancy BMI is 2.2 %. Conclusions Our analysis indicates that a significant proportion of preterm births in Ohio are associated with potentially modifiable risk factors. These data suggest public health initiatives focused on preterm birth prevention could include counseling and interventions to optimize preconception health and prenatal nutrition. |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 43% |
| Saudi Arabia | 1 | 7% |
| Argentina | 1 | 7% |
| Unknown | 6 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 43% |
| Practitioners (doctors, other healthcare professionals) | 4 | 29% |
| Scientists | 3 | 21% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 98 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 18% |
| Student > Ph. D. Student | 10 | 10% |
| Researcher | 9 | 9% |
| Student > Doctoral Student | 9 | 9% |
| Student > Bachelor | 7 | 7% |
| Other | 15 | 15% |
| Unknown | 33 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 33 | 33% |
| Nursing and Health Professions | 13 | 13% |
| Social Sciences | 4 | 4% |
| Unspecified | 3 | 3% |
| Psychology | 3 | 3% |
| Other | 7 | 7% |
| Unknown | 38 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 775. 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 01 October 2018.
All research outputs
#22,392
of 23,906,448 outputs
Outputs from Maternal and Child Health Journal
#2
of 2,039 outputs
Outputs of similar age
#430
of 373,086 outputs
Outputs of similar age from Maternal and Child Health Journal
#1
of 108 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done particularly well, scoring higher than 99% of its peers.
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 373,086 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.