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Family Violence and Maltreatment of Women During the Perinatal Period: Associations with Infant Morbidity in Indian Slum Communities

Overview of attention for article published in Maternal and Child Health Journal, October 2015
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Title
Family Violence and Maltreatment of Women During the Perinatal Period: Associations with Infant Morbidity in Indian Slum Communities
Published in
Maternal and Child Health Journal, October 2015
DOI 10.1007/s10995-015-1814-y
Pubmed ID
Authors

Jay G. Silverman, Donta Balaiah, Michele R. Decker, Sabrina C. Boyce, Julie Ritter, D. D. Naik, Saritha Nair, Niranjan Saggurti, Anita Raj

Abstract

To determine the prevalence of non-violent, gender-based forms of maltreatment of women by husbands and in-laws [i.e., gender-based household maltreatment (GBHM)] during pregnancy and postpartum; to clarify the role of GBHM in compromising infant health, and whether this role extends beyond that previously observed for intimate partner violence (IPV). Cross-sectional, quantitative data were collected from women (ages 15-35) seeking immunizations for their infants <6 months of age (N = 1061) in urban health centers in Mumbai, India. Logistic regression models were constructed to assess associations between maternal abuse (perinatal IPV, in-law violence and GBHM) and recent infant morbidity (diarrhea, respiratory distress, fever, colic and vomiting). More than one in four women (28.4 %) reported IPV during their recent pregnancy and/or during the postpartum period, 2.6 % reported perinatal violence from in-laws, and 49.0 % reported one or more forms of perinatal GBHM. In adjusted regression models that included all forms of family violence and maltreatment, perinatal GBHM remained significantly associated with infant morbidity (AORs 1.4-1.9); perinatal IPV and in-law violence ceased to predict infant morbidity in models including GBHM. Findings indicate that non-violent expressions of gender inequity (e.g., nutritional deprivation, deprivation of sleep, blocking access to health care during pregnancy) are more strongly associated with poor infant health than physical or sexual violence from husbands or in-laws in urban India. These results strongly suggest the need to expand the conception of gender inequities beyond IPV to include non-violent forms of gendered mistreatment in considering their impact on infant health.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 214 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 38 18%
Student > Bachelor 25 12%
Researcher 24 11%
Student > Ph. D. Student 19 9%
Student > Doctoral Student 13 6%
Other 34 16%
Unknown 61 29%
Readers by discipline Count As %
Medicine and Dentistry 46 21%
Nursing and Health Professions 33 15%
Social Sciences 28 13%
Psychology 21 10%
Neuroscience 4 2%
Other 18 8%
Unknown 64 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 12 October 2015.
All research outputs
#16,223,992
of 23,906,448 outputs
Outputs from Maternal and Child Health Journal
#1,433
of 2,039 outputs
Outputs of similar age
#166,774
of 281,521 outputs
Outputs of similar age from Maternal and Child Health Journal
#24
of 34 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% 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 20th percentile – i.e., 20% 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 281,521 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 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.