Evidence map›Paper›PMID 40411674›Full record

ArticleEating and weight disorders : EWD2025

Assessing the magnitude and lifestyle determinants of food addiction in young adults.

Humera Vasgare, Devaki Gokhale, Anuja Phalle, Sammita Jadhav

Abstract read
In one paragraph

Article in Eating and weight disorders : EWD, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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

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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.

Humera VasgareDepartment of Nutrition and Dietetics, Symbiosis Institute of Health Science, Symbiosis International (Deemed University), Pune, India.ORCID http://orcid.org/0000-0001-6494-5626
Devaki GokhaleDepartment of Nutrition and Dietetics, Symbiosis School of Culinary Arts and Nutritional Sciences, Symbiosis International (Deemed University), Pune, 412115, Maharashtra, India. asstprofnd2@ssca.edu.in.ORCID http://orcid.org/0000-0003-1974-1522
Anuja PhalleDepartment of Nutrition and Dietetics, Symbiosis School of Culinary Arts and Nutritional Sciences, Symbiosis International (Deemed University), Pune, 412115, Maharashtra, India.ORCID http://orcid.org/0000-0003-2755-3353
Sammita JadhavSymbiosis Institute of Health Science, Symbiosis International (Deemed University), Pune, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFood addiction involves excessive consumption of highly processed foods rich in salt, sugar, and fats driven by hedonic eating behaviors. Increased food addiction, especially among young adults, could potentially lead to eating disorders. Hence, the current study aimed to assess the magnitude and lifestyle determinants of food addiction in young adults from Mumbai, India

methodsHealthy young adults (n = 354) aged 18-25 years were recruited using convenience sampling. Utilizing web-based platforms, the Yale Food Addiction Scale 2.0 was administered. Statistical analysis was performed with significance at a p value of ≤ 0.05.

resultsThe mean age of participants was (20.99 ± 1.94) years, and the magnitude of food addiction was 11.3%. Sociodemographic determinants such as age (p = 0.000), socio-economic status (p = 0.000), and education (p = 0.000), and lifestyle determinants such as BMI (p = 0.012), dietary habits (p = 0.000), sleep (p = 0.001), physical activity (p = 0.001), anxiety (p = 0.001), and depression (p = 0.000) were significantly associated with food addiction. However, after adjusting for sociodemographic factors, the relationship between lifestyle factors and food addiction became evident. The frequent consumption of specific unhealthy foods increased the risk (OR ≥ 1.0, p value ≤ 0.05), while the consumption of healthy foods reduced the risk (OR<1.0, p value ≤ 0.05) of food addiction.

conclusionThe present study revealed a rising magnitude of food addiction and its determinants among Indian youth, highlighting the urgency of sensitization and designing targeted nutrition interventions to combat food-related addiction and hence reducing the risk of eating disorders. LEVEL OF EVIDENCE: Level V, Descriptive Study.

Indexed as

Feeding BehaviorFood AddictionLife StyleAdolescentAdultAnxietyDepressionExerciseFemaleHumansIndiaMaleYoung AdultDietEating disordersFood addictionLifestyle determinantsObesityUltra-processed foods

Identifiers

PMID40411674
PMCPMC12103383

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LicenceCC BY-NC-ND
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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.