Evidence map›Paper›PMID 29127564›Full record

ArticleCommunity mental health journal2018

The Association Between Social Network Factors with Depression and Anxiety at Different Life Stages.

Andrew Levula, Michael Harré, Andrew Wilson

Abstract read
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In one paragraph

Article in Community mental health journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

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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

3 authors.

Andrew LevulaComplex Systems Research Group, Faculty of Engineering and Information Technology, The University of Sydney, Sydney, Australia. andrew.levula@sydney.edu.au.ORCID 0000-0002-7994-5116
Michael HarréComplex Systems Research Group, Faculty of Engineering and Information Technology, The University of Sydney, Sydney, Australia.
Andrew WilsonMenzies Centre for Health Policy, School of Public Health, The University of Sydney, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines whether social network factors influence individual's depression and anxiety outcomes at different life stages. Data was drawn from the Household, Income and Labour Dynamics in Australia survey. Hierarchical regression modelling was applied to examine the effects within and across different life stages. The depression and anxiety measures were taken from the Kessler Psychological Distress Scale (K10) and the social network factors were taken from the self-completion questionnaire. With the exception of social trust in seniors, the social network factors were significant predictors of depression and anxiety. This has practical implications for the design of social policy initiatives.

Indexed as

Social SupportAdolescentAdultAgedAge DistributionAnxietyAustraliaDepressionFemaleHealth StatusHumansMaleMiddle AgedRegression AnalysisRisk FactorsSocial IsolationAnxietyDepressionSocial connectednessSocial isolationSocial trust

Identifiers

What OpenQuestion holds

Textmetadata
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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.