Evidence map›Paper›PMID 30054650›Full record

ArticleInternational journal of public health2019

Women's health and well-being in low-income formal and informal neighbourhoods on the eve of the armed conflict in Aleppo.

Balsam Ahmad, Fouad M Fouad, Shahaduz Zaman, Peter Phillimore

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Article in International journal of public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Balsam AhmadInstitute of Health and Society, Medical Faculty, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, NE2 4AX, UK. balsam.ahmad@newcastle.ac.uk.ORCID http://orcid.org/0000-0002-9146-3806
Fouad M FouadDepartment of Epidemiology and Population Health, Refugee Health Program, Global Health Institute, American University of Beirut, Beirut, Lebanon.
Shahaduz ZamanGlobal Health and Infection Department, Brighton and Sussex Medical School, University of Sussex, Room 2.17, Medical School Teaching Building, Falmer, Brighton, BN1 9PX, UK.
Peter PhillimoreGeography, Politics and Sociology, Newcastle University, Claremont Bridge Building, Newcastle upon Tyne, NE1 7RU, UK.

Funding

European Commission FP7 programme Grant MedCHAMPS 223075
6 · The paper itself

Abstract

objectivesTo explore how married women living in low-income formal and informal neighbourhoods in Aleppo, Syria, perceived the effects of neighbourhood on their health and well-being, and the relevance of these findings to future urban rebuilding policies post-conflict.

methodsSemi-structured interviews were undertaken with eighteen married women living in informal or socioeconomically disadvantaged formal neighbourhoods in Aleppo in 2011, a year before the armed conflict caused massive destruction in all these neighbourhoods.

resultsOur findings suggest that the experience of neighbourhood social characteristics is even more critical to women's sense of well-being than environmental conditions and physical infrastructure. Most prominent was the positive influence of social support on well-being.

conclusionsThe significance of this study lies, first, in its timing, before the widespread destruction of both formal and informal neighbourhoods in Aleppo and, second, and in its indication of the views of women who lived in marginalised communities on what neighbourhood characteristics mattered to them. Further research post-conflict needs to explore how decisions on urban rebuilding are made and their likely influence on health and well-being.

Indexed as

Women's HealthAdultArmed ConflictsFemaleHumansInterviews as TopicMiddle AgedPovertyResidence CharacteristicsSocial SupportSocioeconomic FactorsSyriaYoung AdultConflictFormal neighbourhoodsInformal neighbourhoodsMarried womenQualitativeSyriaUrban policyWell-being

Identifiers

PMID30054650
PMCPMC6353811

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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.