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Determinants of antenatal depression and postnatal depression in Australia

Overview of attention for article published in BMC Psychiatry, February 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

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1 blog
facebook
1 Facebook page

Citations

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106 Dimensions

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371 Mendeley
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Title
Determinants of antenatal depression and postnatal depression in Australia
Published in
BMC Psychiatry, February 2018
DOI 10.1186/s12888-018-1598-x
Pubmed ID
Authors

Felix Akpojene Ogbo, John Eastwood, Alexandra Hendry, Bin Jalaludin, Kingsley E. Agho, Bryanne Barnett, Andrew Page

Abstract

Depression is a leading source of morbidity and health loss in Australian women. This study investigates the determinants of antenatal depressive symptoms and postnatal depressive symptoms in an Australian population, including people from culturally and linguistically diverse (CALD) backgrounds. The study used a retrospective cohort of mothers of all live births in public health facilities in 2014 (N = 17,564) within South Western Sydney Local Health District and Sydney Local Health District in New South Wales, Australia. Prevalence of antenatal and postnatal depressive symptoms were estimated for the cohort. Multivariate logistic regression models were conducted to investigate the sociodemographic, psychological and health service determinants of antenatal and postnatal depressive symptoms, measured using the Edinburgh Postnatal Depression Scale (EPDS). The prevalence of antenatal and postnatal depressive symptoms was 6.2% and 3.3% of the cohort, respectively. Significant risk factors for maternal depressive symptoms during pregnancy were, a lack of partner support, history of intimate partner violence, being from the CALD population and low socioeconomic status. Self-reported antenatal depressive symptoms were strongly associated with postnatal depressive symptoms. Risk factors for postnatal depressive symptoms were similar to those for antenatal depressive symptoms, as well as assisted delivery. Factors relating to demographic and psychosocial disadvantage were associated with subsequent antenatal and postnatal depressive symptoms in New South Wales, Australia. Our study suggests that screening for probable depression and timely referral for expert assessment of at-risk mothers may be an effective strategy to improve maternal mental health outcomes.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 371 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 371 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 50 13%
Student > Bachelor 46 12%
Student > Postgraduate 24 6%
Student > Ph. D. Student 24 6%
Researcher 21 6%
Other 55 15%
Unknown 151 41%
Readers by discipline Count As %
Nursing and Health Professions 70 19%
Medicine and Dentistry 54 15%
Psychology 38 10%
Social Sciences 18 5%
Biochemistry, Genetics and Molecular Biology 11 3%
Other 26 7%
Unknown 154 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 20 February 2018.
All research outputs
#5,695,280
of 23,023,224 outputs
Outputs from BMC Psychiatry
#1,909
of 4,747 outputs
Outputs of similar age
#99,372
of 331,055 outputs
Outputs of similar age from BMC Psychiatry
#60
of 89 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,747 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has gotten more attention than average, scoring higher than 57% 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 331,055 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.