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Sociodemographic and Medical Risk Factors Associated With Antepartum Depression

Overview of attention for article published in Frontiers in Public Health, May 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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1 blog
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11 X users
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1 Facebook page

Citations

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27 Dimensions

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114 Mendeley
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Title
Sociodemographic and Medical Risk Factors Associated With Antepartum Depression
Published in
Frontiers in Public Health, May 2018
DOI 10.3389/fpubh.2018.00127
Pubmed ID
Authors

Giridhara R. Babu, G. V. S. Murthy, Neeru Singh, Anita Nath, Mohanbabu Rathnaiah, Nolita Saldanha, R. Deepa, Sanjay Kinra

Abstract

The increasing recognition of antenatal depression is an emerging area of concern in developing countries. We conducted a study to estimate the prevalence of antenatal mental distress and its relation with sociodemographic factors, obstetric factors, and physiological wellbeing in pregnant women attending public health facilities in Bengaluru, South India. Nested within a cohort study, we assessed the mental status in 823 pregnant women in two public referral hospitals. Kessler Psychological Distress Scale (K-10 scale) was used to assess maternal depression. We collected information related to social-demographic characteristics and recent medical complaints. Descriptive statistics and odds ratios were calculated using SPSS version 20. Results show that 8.7% of the women exhibited symptoms of antenatal depression. Sociodemographic characteristics, such as respondent occupation, husband education, husband's occupation, total family income showed significance. First time pregnancy, anemia, and high blood pressure were also associated with mental distress. Our study has demonstrated feasibility of screening for mental health problems in public hospitals. Early detection of mental distress during pregnancy is crucial as it has a direct impact on the fetus. The public health facilities in low- and middle-income countries such as India should consider piloting and scaling up screening services for mental health conditions for pregnant women.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 114 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 14%
Student > Postgraduate 10 9%
Student > Doctoral Student 9 8%
Researcher 7 6%
Student > Ph. D. Student 6 5%
Other 19 17%
Unknown 47 41%
Readers by discipline Count As %
Medicine and Dentistry 29 25%
Nursing and Health Professions 20 18%
Psychology 7 6%
Social Sciences 4 4%
Mathematics 1 <1%
Other 6 5%
Unknown 47 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 May 2018.
All research outputs
#2,233,253
of 23,876,851 outputs
Outputs from Frontiers in Public Health
#915
of 11,734 outputs
Outputs of similar age
#47,500
of 329,731 outputs
Outputs of similar age from Frontiers in Public Health
#30
of 98 outputs
Altmetric has tracked 23,876,851 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,734 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 92% 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 329,731 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.