↓ Skip to main content

The Web of Risk Factors for Excessive Gestational Weight Gain in Low Income Women

Overview of attention for article published in Maternal and Child Health Journal, March 2012
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
188 Mendeley
Title
The Web of Risk Factors for Excessive Gestational Weight Gain in Low Income Women
Published in
Maternal and Child Health Journal, March 2012
DOI 10.1007/s10995-012-0979-x
Pubmed ID
Authors

Keriann H. Paul, Meredith L. Graham, Christine M. Olson

Abstract

The objective of this study is to gain an in-depth understanding of issues related to gestational weight gain (GWG) including general health, diet, and physical activity among high and low income women and to elucidate socio-ecological and psychosocial risk factors that increase risk for excessive GWG. We conducted 9 focus groups with high (n = 4 groups) and low (n = 5 groups) income pregnant women aged 18-35 years to discuss health, GWG, diet and physical activity following a discussion guide. The constant comparative method was used to code focus group notes and to identify emergent themes. Themes were categorized within the integrative model of behavioral prediction. Low income women, in contrast to high income women, had higher BMIs, had more children, and were African American. Diet and physical activity behaviors reported by low income women were more likely to promote positive energy balance than were those of high income women. The underlying behavioral, efficacy, and normative beliefs described by both groups of women explained most of these behaviors. Experiencing multiple risk factors may lead to (1) engaging in several behavior changes during pregnancy unrelated to weight and (2) holding more weight gain-promoting beliefs than weight maintaining beliefs. These factors could inhibit diet and physical activity behaviors and/or behavior changes that promote energy balance and in combination, result in excessive GWG. Low income women experience multiple risk factors for excessive GWG and successful interventions to prevent excessive GWG and pregnancy related weight gain will need to recognize the complex web of influences.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 <1%
Unknown 187 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 18%
Student > Ph. D. Student 29 15%
Student > Bachelor 24 13%
Student > Doctoral Student 13 7%
Researcher 12 6%
Other 29 15%
Unknown 47 25%
Readers by discipline Count As %
Medicine and Dentistry 46 24%
Nursing and Health Professions 28 15%
Psychology 20 11%
Social Sciences 13 7%
Sports and Recreations 7 4%
Other 18 10%
Unknown 56 30%
Attention Score in Context

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 09 August 2013.
All research outputs
#18,756,367
of 23,906,448 outputs
Outputs from Maternal and Child Health Journal
#1,618
of 2,039 outputs
Outputs of similar age
#120,503
of 159,422 outputs
Outputs of similar age from Maternal and Child Health Journal
#37
of 46 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
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 is in the 16th percentile – i.e., 16% 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 159,422 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.