Evidence map›Paper›PMID 22404959›Full record

ArticleBMC public health2012

Mental health in the slums of Dhaka - a geoepidemiological study.

Oliver Gruebner, M Mobarak H Khan, Sven Lautenbach, Daniel Müller, Alexander Krämer, Tobia Lakes, Patrick Hostert

Registry-linked trialAbstract read
In one paragraph

Article in BMC public health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03678415 (Community Based Maternal Healthcare Services), which is not on this map. Cited by 40 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 4 pooled it
–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.

NCT03678415 nacompletednot on this mapstarted 2017, after this paper: background citation

Community Based Maternal Healthcare Services

TypeinterventionalSponsorInternational Centre for Diarrhoeal Disease Research, BangladeshRan2017 to 2019Enrolled1,210ConditionsMental DisorderArmsCommunity-Based Primary Mental Health Care (CBPMHC) package
3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  3. Mental health benefits of long-term exposure to residential green and blue spaces: a systematic review.International journal of environmental research and public health · 2015
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  17. Assessing the mental health of slum dwellers: an ordinal logistic approach.Journal of health, population, and nutrition · 2024
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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

7 authors.

Oliver GruebnerGeomatics Lab, Geography Department, Humboldt-Universität zu Berlin, Berlin, Germany. Oliver.Gruebner@geo.hu-berlin.de
M Mobarak H Khan
Sven Lautenbach
Daniel Müller
Alexander Krämer
Tobia Lakes
Patrick Hostert

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrban health is of global concern because the majority of the world's population lives in urban areas. Although mental health problems (e.g. depression) in developing countries are highly prevalent, such issues are not yet adequately addressed in the rapidly urbanising megacities of these countries, where a growing number of residents live in slums. Little is known about the spectrum of mental well-being in urban slums and only poor knowledge exists on health promotive socio-physical environments in these areas. Using a geo-epidemiological approach, the present study identified factors that contribute to the mental well-being in the slums of Dhaka, which currently accommodates an estimated population of more than 14 million, including 3.4 million slum dwellers.

methodsThe baseline data of a cohort study conducted in early 2009 in nine slums of Dhaka were used. Data were collected from 1,938 adults (≥ 15 years). All respondents were geographically marked based on their households using global positioning systems (GPS). Very high-resolution land cover information was processed in a Geographic Information System (GIS) to obtain additional exposure information. We used a factor analysis to reduce the socio-physical explanatory variables to a fewer set of uncorrelated linear combinations of variables. We then regressed these factors on the WHO-5 Well-being Index that was used as a proxy for self-rated mental well-being.

resultsMental well-being was significantly associated with various factors such as selected features of the natural environment, flood risk, sanitation, housing quality, sufficiency and durability. We further identified associations with population density, job satisfaction, and income generation while controlling for individual factors such as age, gender, and diseases.

conclusionsFactors determining mental well-being were related to the socio-physical environment and individual level characteristics. Given that mental well-being is associated with physiological well-being, our study may provide crucial information for developing better health care and disease prevention programmes in slums of Dhaka and other comparable settings.

Indexed as

Geographic Information SystemsPoverty AreasSocial EnvironmentAdolescentAdultAgedAged, 80 and overBangladeshCohort StudiesEpidemiologic StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansInterviews as TopicMaleMental Disorders

Identifiers

PMID22404959
PMCPMC3361672

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.