Evidence map›Paper›PMID 39723269›Full record

ArticleCureus2024

Association of Food Addiction With Obesity in Young Adults Belonging to Urban and Rural Populations.

Setu Sukesh, G Vishnuvardhan, M Vidhyavathi

Abstract read
In one paragraph

Article in Cureus, 2024. 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
–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

3 citing papers in PubMed.

  1. Food addiction research in India: a scoping review.Frontiers in public health · 2026
    Article
  2. Article
  3. Article
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.

Setu SukeshPsychiatry, Rajarajeswari Medical College & Hospital, Bengaluru, IND.
G VishnuvardhanPsychiatry, Rajarajeswari Medical College & Hospital, Bengaluru, IND.
M VidhyavathiPsychiatry, Rajarajeswari Medical College & Hospital, Bengaluru, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Food addiction (FA), where an individual displays a loss of control over the consumption of calorie-dense foods (refined carbohydrates, fats), is proposed to be like substance-use disorders with the experience of cravings, reduced control over intake, increased impulsivity, and altered reward-sensitivity. FA may also be associated with obesity. This study aimed to determine the prevalence of FA in urban and rural areas, and the proportion of obesity in young adults with FA. Methods This cross-sectional study involved 480 participants (240 each from urban and rural populations). Sociodemographic information and anthropometric measurements were recorded. The Yale Food Addiction Scale (YFAS), designed to assess signs of addictive-like eating behaviour, was used to determine which individuals had FA. Results Young adults (208 males and 272 females) with an average age of 21.6 years were included. FA was found in 40 (16.7%) urban and 28 (11.7%) rural subjects. Among 68 subjects with FA, 48 (70.5%) were obese and 20 (29.4%) were non-obese. The most frequent FA symptom in the urban and rural subjects was a persistent desire to eat or a repeated failure to quit in 228 (95%) and 192 (80%) subjects, respectively, followed by the development of tolerance in 108 (45.0%) and 60 (25%) subjects, respectively.  Conclusion Food addiction is common in young adults and is higher in urban than in rural populations. The association of FA with indicators of obesity is high. Studying the prevalence of FA in different population groups can also enable a better understanding of the concept and its pathophysiology.

Indexed as

food addictionobesityyale scaleyfasyoung adults

Identifiers

PMID39723269
PMCPMC11668923

What OpenQuestion holds

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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.