Evidence map›Paper›PMID 31367207›Full record

ArticleInternational journal of integrated care2019

A Critical Realist Translational Social Epidemiology Protocol for Concretising and Contextualising a "Theory of Neighbourhood Context, Stress, Depression, and the Developmental Origins of Health and Disease (DOHaD)", Sydney Australia.

John G Eastwood, Lynn A Kemp, Pankaj Garg, Ingrid Tyler, Denise E De Souza

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Article in International journal of integrated care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 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

5 authors.

John G EastwoodSchool of Women's and Children's Health, The University of New South Wales, Sydney, NSW, AU.ORCID 0000-0003-1549-4368
Lynn A KempIngham Institute of Applied Medical Research, Liverpool, NSW, AU.
Pankaj GargDepartment of Community Paediatrics, Croydon Community Health Centre, Sydney Local Health District, Croydon, NSW, AU.
Ingrid TylerDana Lana School of Public Health, University of Toronto, Toronto, ON, CA.
Denise E De SouzaSchool of Humanities and Social Sciences, Nanyang Technological University, SG.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe will describe here a translational social epidemiology protocol for confirming a critical realist "Theory of Neighbourhood Context, Stress, Depression, and the Developmental Origins of Health and Disease (DOHaD). The approach will include the concretising and contextualising of the above causal theory into programme theories for child and adolescent interventions that aim to break intergenerational cycles of disadvantage and poor life outcomes. In undertaking this work we seek to advance realist translational methodology within the discipline of applied perinatal and paediatric social epidemiology. THEORY AND

methodsThe research settings are in metropolitan Sydney. The design will be a longitudinal, multi-level, mixed method realist evaluation of applied programme interventions that seek to break the intergeneration cycle of social disadvantage and poor child health and developmental outcomes. The programme of research will consist of three components: 1) DISCUSSION: The proposed programme of research will assist in translating empirical explanatory theory building to theory driven interventions. The research will be situated in socially disadvantaged regions of Sydney where the local child and family inter-agencies will collaborate to design and implement new initiatives that address significant disparities in childhood development and adolescent outcomes attributed to neighbourhood circumstances, family stress and intergenerational cycles of disadvantage and poor mental health.

Indexed as

critical realismdevelopmental origins of health and diseaseevaluationneighbourhoodsocial epidemiologytheorytranslational epidemiology

Identifiers

PMID31367207
PMCPMC6659581

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LicenceCC BY
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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.