Evidence map›Paper›PMID 38515874›Full record

ArticleDialogues in health2022

Exploring association between food insecurity and depression among older adults in India.

Ratna Patel, Shubham Kumar, Shekhar Chauhan

Open access · goldAbstract read
In one paragraph

Article in Dialogues in health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

3 citing papers in PubMed, 11 citations in OpenAlex.

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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 at 1 institution in 1 country.

Ratna PatelDepartment of Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, India.
Shubham KumarDepartment of Mathematical Demography & Statistics, International Institute for Population Sciences, Mumbai, India.
Shekhar ChauhanDepartment of Family and Generations, International Institute for Population Sciences, Mumbai, India.
International Institute for Population Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Depression is a significant health concern that is yet to be recognised as an important public health challenge in India. Furthermore, given the critical condition of food insecurity among older people in India, it is likely that they are more vulnerable to depression. The interplay of depression among older people resulting from food insecurity is an under-explored phenomenon in the Indian context. Therefore, this study examines the association between food insecurity and depression among older people in India. Methods: The study used data from the Longitudinal Ageing Study in India (LASI). Food insecurity was measured with a set of questions formed into dichotomous variable and depression was measured with Center for Epidemiological Studies Depression (CES-D scale). Binary logistic regression was performed to confirm the findings. Results: Results showed that older adults who reported food insecurity were more likely to be depressed (OR= 1.20; C.I.=1.03-1.25) than their younger counterparts. Furthermore, older adults who were independent for Activity of Daily Living (ADL) were less likely (OR= 0.73; C.I.=0.53-1.00) to report depression, whereas, female (OR= 1.12; C.I.=1.00-1.26) and never married (OR= 2.11; C.I.=1.18-3.79) older adults were more likely to be depressed than their respective counterparts. Conclusion: It is important to integrate mental health with food insecurity. Future studies may consider including mental health services with food assistance programs or vice versa.

Indexed as

DepressionFood insecurityIndiaOlder adults

Identifiers

PMID38515874
PMCPMC10953888
OpenAlexW4293340498

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.