Evidence map›Paper›PMID 33676565›Full record

ArticleJournal of eating disorders2021

An exploratory study of food addiction in Indian youth.

Tamoghna Ghosh, Siddharth Sarkar, Aman Tilak, Kanwal Preet Kochhar

Open access · goldAbstract read
In one paragraph

Article in Journal of eating disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Food addiction research in India: a scoping review.Frontiers in public health · 2026
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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 at 2 institutions in 2 countries.

Tamoghna GhoshAll India Institute of Medical Sciences, New Delhi, India.
Siddharth SarkarDepartment of Psychiatry and National Drug Dependence Treatment Centre, AIIMS, New Delhi, India.
Aman TilakAll India Institute of Medical Sciences, New Delhi, India.
Kanwal Preet KochharDepartment of Physiology, Cognitive Neuro Physiology and Nutrition Laboratory, AIIMS, New Delhi, India. kpkochhar6@gmail.com.ORCID http://orcid.org/0000-0003-3458-3657
All India Institute of Medical Sciences · INAll India Institute of Medical Sciences Raipur · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsAs the understanding of food addiction increases, there is a need to explore the occurrence of this condition in different population groups. This exploratory study aimed to assess the occurrence of food addiction in a sample of respondents from India using a Hindi version of the Yale Food Addiction Scale (YFAS).

methodsThe Hindi language version of the scale was developed using the back-translation methodology. Subsequently, an online questionnaire-based study was conducted using convenience sampling which presented the Hindi version of YFAS.

resultsFrom 376 respondents (median age 19 years, 42.8% males), the rate of occurrence of food addiction was 13.3%. Persistent desire or repeated unsuccessful attempts to quit was the most common symptom domain endorsed. The weight (median 67 kg versus 60 kg) and BMI (median 25.89 kg/ m

conclusionsDespite the limitations of potential selection bias, this exploratory study suggests that food addiction may be present in a proportion of young aged Indians. The association of food addiction with higher weight and BMI suggests propensity to develop metabolic syndrome, and the need to evaluate interventions that could modify phenomenological expression of food addiction.

Indexed as

Food addictionFood preferenceIndian youthNutritionObesityYFAS

Identifiers

PMID33676565
PMCPMC7937298
OpenAlexW3135556637

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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.