Evidence map›Paper›PMID 30939157›Full record

ArticlePloS one2019

Burden of household food insecurity in urban slum settings.

Ashish Joshi, Arushi Arora, Chioma Amadi-Mgbenka, Nidhi Mittal, Shruti Sharma, Bhavya Malhotra, Ashoo Grover, Archa Misra, Menka Loomba

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 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.

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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Ashish JoshiDepartment of Epidemiology, City University of New York Graduate School of Public Health and Health Policy, New York, New York, United States of America.ORCID 0000-0002-5376-9839
Arushi AroraFoundation of Health care Technologies Society, New Delhi, India.
Chioma Amadi-MgbenkaDepartment of Epidemiology, City University of New York Graduate School of Public Health and Health Policy, New York, New York, United States of America.
Nidhi MittalFoundation of Health care Technologies Society, New Delhi, India.
Shruti SharmaFoundation of Health care Technologies Society, New Delhi, India.
Bhavya MalhotraFoundation of Health care Technologies Society, New Delhi, India.
Ashoo GroverIndian Council of Medical Research, New Delhi, India.
Archa MisraFoundation of Health care Technologies Society, New Delhi, India.
Menka LoombaFoundation of Health care Technologies Society, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined the burden of food insecurity in India's un-notified slums, using an SDG framework to identify correlates of food insecurity. A convenience sampling approach was employed in selecting 38 slums from 675 un-notified slums across four geographic zones. Ten percent of the households in each slum site were selected from each zone, and one household member was interviewed, based on their availability and fulfilment of the eligibility criteria. Eligible individuals included those aged 18 years and above, who were resident in the selected slums and provided consent. Individuals with mental or physical challenges were excluded. A total sample of 907 study participants were included. Results showed that 43% (n = 393) of the participants were food insecure. More than half were females (73%, n = 285), who had not completed any schooling (51%, n = 202). One-third (n = 128) resided in the Northern Region of Delhi. SDG-related predictors of food insecurity included: household educational level (SDG 4 Quality education) (p = 0.03), coverage of health service needs (SDG 3 Good health and well-being) (p = 0.0002), electricity needs (SDG 7 affordable and clean energy) (p<0.0001), and employment needs (SDG 8 Decent and economic growth) (p = 0.003). Having healthcare needs that were partially or fully met was equally associated with higher food insecurity: this could be attributed to high healthcare costs and the lack of federal subsidies in un-notified slums, collectively contributing to high out-of-pocket health costs. Failure to fully meet employment needs was also significantly associated with higher food insecurity. However, met needs for electricity, finance, women's safety and satisfactory family relationships, were associated with lower food insecurity. Household predictors of food insecurity included: number of household members, and the presence of physically disabled household members. Necessary interventions should include connecting food insecure households to existing social services such as India's Public Distribution System, and multi-sector partnerships to address the existing challenges.

Indexed as

PovertyPoverty AreasUrban PopulationAdolescentAdultAgedCross-Sectional StudiesFamily CharacteristicsFemaleFood SupplyHealth ServicesHumansIndiaMaleMiddle AgedRural Population

Identifiers

PMID30939157
PMCPMC6445475

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.