Evidence map›Paper›PMID 24555171›Full record

ArticleSpringerPlus2014

Bayesian hierarchical spatial regression of maternal depressive symptoms in South Western Sydney, Australia.

John G Eastwood, Bin B Jalaludin, Lynn A Kemp, Hai N Phung

Open access · diamondAbstract read
In one paragraph

Article in SpringerPlus, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

John G EastwoodCommunity Paediatrics, South Western Sydney Local Health District, Locked Mail Bag 7008, Liverpool, BC 1871 New South Wales Australia ; School of Public Health and Community Medicine, The University of New South Wales, Sydney, NSW 2052 Australia ; School of Women's and Children's Health, The University of New South Wales, Sydney, NSW 2052 Australia ; School of Public Health, University of Sydney, Sydney, NSW 2006 Australia ; School of Public Health, Griffith University, Gold Coast, Queensland, 4222 Australia.
Bin B JalaludinCommunity Paediatrics, South Western Sydney Local Health District, Locked Mail Bag 7008, Liverpool, BC 1871 New South Wales Australia ; School of Public Health and Community Medicine, The University of New South Wales, Sydney, NSW 2052 Australia.
Lynn A KempCommunity Paediatrics, South Western Sydney Local Health District, Locked Mail Bag 7008, Liverpool, BC 1871 New South Wales Australia ; School of Public Health and Community Medicine, The University of New South Wales, Sydney, NSW 2052 Australia.
Hai N PhungCommunity Paediatrics, South Western Sydney Local Health District, Locked Mail Bag 7008, Liverpool, BC 1871 New South Wales Australia ; School of Public Health and Community Medicine, The University of New South Wales, Sydney, NSW 2052 Australia ; School of Public Health, Griffith University, Gold Coast, Queensland, 4222 Australia.
South Western Sydney Local Health District · AUSydney Local Health District · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is increasing interest in the role played by maternal depression in mediating the effects of adversity during pregnancy and poor infant outcomes. There is also increasing evidence from multilevel regression studies for an association of area-level economic deprivation and poor individual mental health. The purpose of the study reported here is to explore the spatial distribution of postnatal depressive symptoms in South Western Sydney, Australia, and to identify covariate associations that could inform subsequent multilevel studies.

methodsMothers (n = 15,389) delivering in 2002 and 2003 were assessed at 2-3 weeks after delivery for risk factors for depressive symptoms. The individual-level binary outcome variables were Edinburgh Depression Scale (EDS) >9 and >12. The association between social, demographic and ecological factors and aggregated outcome variables were investigated using exploratory factor analysis and multivariate hierarchical Bayesian spatial regression. Relative risks from the final EDS >12 regression model were mapped to visualise the contribution from explanatory covariates and residual components.

resultsThe exploratory factor analysis identified six factors: neighbourhood adversity, social cohesion, health behaviours, housing quality, social services, and support networks. Variables associated with neighbourhood adversity, social cohesion, social networks, and ethnic diversity were consistently associated with aggregated depressive symptoms. Measures of social disadvantage, lack of social cohesion and lack of social capital were associated with increased depressive symptoms. The association with social disadvantage was not significant when controlling for ethnic diversity and social capital.

conclusionsThe findings support the theoretical proposition that neighbourhood adversity causes maternal psychological distress and depression within the context of social buffers including social networks, social cohesion, and social services. The finding have implications for the distribution of health services including early nurse home visiting which has recently been confirmed to be effective in preventing postnatal depression.

Indexed as

Bayesian hierarchical regressionExploratory factor analysisPostnatal depressionSocial capitalSocial cohesionSpatial epidemiology

Identifiers

PMID24555171
PMCPMC3921342
OpenAlexW2114553228

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.