↓ Skip to main content

Associations between intimate partner violence, childcare practices and infant health: findings from Demographic and Health Surveys in Bolivia, Colombia and Peru

Overview of attention for article published in BMC Public Health, August 2015
Altmetric Badge

Mentioned by

twitter
3 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
81 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Associations between intimate partner violence, childcare practices and infant health: findings from Demographic and Health Surveys in Bolivia, Colombia and Peru
Published in
BMC Public Health, August 2015
DOI 10.1186/s12889-015-2144-0
Pubmed ID
Authors

Helga Bjørnøy Urke, Maurice B. Mittelmark

Abstract

Child health is significantly poorer in homes with intimate partner violence (IPV). However, a possible link to parental provision of childcare has been neglected. Utilizing data from Demographic and Health Surveys, this study examined the association between IPV and illness signs in children 0-59 months in Bolivia (n = 3586), Colombia (n = 9955) and Peru (n = 6260), taking into account socio-demographic factors, childcare and severe child physical punishment. Data were collected in the years 2008, 2010 and 2012 for Bolivia, Colombia and Peru respectively. The study found weak but persistent effects of IPV on illness signs in Bolivia (OR 1.37, 95 % CI 1.14-1.63) and Peru (OR 1.49, 95 % CI 1.26-1.77), after adjusting for the effects of childcare. These effects were not observed in Colombia. The results call for a mix of qualitative and quantitative research that can map direct, mediating and moderating patterns of relationships between IPV, childcare practices and child health. Can good childcare mitigate the negative effects of IPV? Can poor childcare exacerbate the negative effects of IPV? Such interactions were not observed in the present study, but should be the focus of much more intensive investigation, to help inform child health promotion. Answers could lead to better interventions to improve child health, and perhaps to tackle IPV.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 16%
Student > Ph. D. Student 12 15%
Researcher 10 12%
Student > Bachelor 10 12%
Student > Doctoral Student 4 5%
Other 12 15%
Unknown 20 25%
Readers by discipline Count As %
Social Sciences 16 20%
Medicine and Dentistry 13 16%
Psychology 9 11%
Nursing and Health Professions 9 11%
Mathematics 2 2%
Other 9 11%
Unknown 23 28%
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 29 August 2015.
All research outputs
#17,772,019
of 22,826,360 outputs
Outputs from BMC Public Health
#12,452
of 14,870 outputs
Outputs of similar age
#180,629
of 267,538 outputs
Outputs of similar age from BMC Public Health
#282
of 344 outputs
Altmetric has tracked 22,826,360 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,870 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 13th percentile – i.e., 13% 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 267,538 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 344 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.